Decision Intelligence Market

Decision Intelligence Market by Offering (Platforms, Solutions (Integrated & Standalone), Services), Type (Decision Automation, Decision Augmentation, Decision Support System (DSS)), Business Function, Vertical and Region - Global Forecast to 2030

Report Code: TC 8547 Mar, 2024, by marketsandmarkets.com

[333 Pages Report] The global decision intelligence market is projected to grow from USD 13.3 billion in 2024 to USD 50.1 billion in 2030, at a CAGR of 24.7% during the forecast period. The shift towards data-centric decision-making is evident in various sectors such as finance, healthcare, retail, manufacturing, and more. Companies are investing heavily in robust data infrastructure, analytics tools, and talent to harness the power of data effectively. By leveraging predictive and prescriptive analytics models, organizations can anticipate market trends, optimize operations, mitigate risks, and personalize customer experiences. Moreover, regulatory requirements such as GDPR and CCPA emphasize the importance of responsible data governance practices, further driving organizations to adopt data-centric decision-making approaches. The convergence of data analytics with emerging technologies like the Internet of Things (IoT) and edge computing also expands opportunities for real-time data processing and insights generation.

Decision Intelligence Market

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Decision Intelligence Market Opportunities

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Decision Intelligence Market Dynamics

Driver: Need to automate and expedite decision-making processes across diverse industries to fuel the growth of the market

Decision intelligence integrates decision support, decision management, and complex systems applications to address pressing digitalization needs and harness the potential of emerging technologies such as AI and ML. These technologies enhance forecasting and predictive capabilities, supporting automated and expedited decision-making processes across diverse industries and use cases. Decision intelligence bridges the gap between data abundance and improved decision-making for organizations navigating complex data landscapes. Key sectors such as financial services, healthcare, and supply chain management stand to benefit significantly from leveraging decision intelligence to optimize AI and ML applications. These industries are currently facing critical challenges in ensuring precise decision-making. ML and AI technologies have enabled providers to gain insights into customer perceptions through a comprehensive multi-source data analysis. Enterprises are now prioritizing delivering seamless customer experiences across all touchpoints and leveraging real-time data analysis of customer purchasing behaviors to offer personalized offers promptly.

Restraint : Relying heavily on decision support systems can contribute to information overload, potentially overwhelming decision-makers with data

The user is uncertain about the criteria for consideration and exclusion as decision intelligence thoroughly analyzes every aspect of a problem. Effective decision-making does not always necessitate complete information; however, when information is available, decision-makers often struggle to filter out irrelevant data. Enterprises integrate decision support systems (DSS) to streamline and expedite routine decision-making processes. Nevertheless, some decision-makers overly depend on automated decision-making systems, neglecting their judgment. This shift in focus may hinder the development of decision-maker skills as they become overly reliant on DSS technologies.

Opportunity: The proliferation of advancements in big data technology is driving the growth of actionable business intelligence

Numerous software tasks related to decision intelligence, commonly utilized on the internet, have been effectively resolved and integrated, including morphological and syntactic analysis. The convergence of decision intelligence and big data analytics presents an opportunity to create robust systems capable of handling vast amounts of data, enabling knowledge discovery, text analysis, opinion mining, and supporting decision-making in business and management contexts. Decision intelligence applied to big data can automate the identification of pertinent information and summarize document content within extensive datasets, fostering collective insights. This approach eliminates the need for users to select precise keywords for information retrieval, allowing them to interact with content using natural language queries. This advancement not only accelerates information access but also speeds up downstream processes reliant on timely information, facilitating real-time actionable business intelligence. Consequently, decision intelligence for big data offers a means to unlock valuable insights from expansive and evolving content repositories, unveiling patterns, connections, and trends across diverse data sets. Positioned as a prominent facet of data analytics, decision intelligence leverages big data to extract valuable information through innovative methodologies, providing insightful perspectives on current or projected market dynamics.

Challenge: The security and privacy concerns surrounding data are expected to impede the broad adoption of decision intelligence solutions

Data, the foundation of decision intelligence solutions, remains a pivotal aspect challenging for many organizations to manage effectively. The complexities of handling vast amounts of data, ranging from exabytes to petabytes, have heightened concerns regarding potential security breaches and data loss incidents. In the contemporary competitive landscape, marketing teams demand real-time access to secure data to deliver exceptional customer experiences. Organizations gather data from diverse touchpoints and analyze them comprehensively, encompassing various data types such as public information, big data sets, and customer-derived small data. This data includes permissions, individual preferences, and updated contact details related to products, services, and communication channels. Therefore, it is imperative for vendors to uphold stringent data security measures to preserve customer trust and confidentiality. Recent cyber threats underscore the importance of collaboration between marketing and IT teams to ensure a thorough understanding of data collection, processing, and utilization protocols across operational workflows. Although significant cyberattacks persistently impede the widespread adoption of decision intelligence across data-intensive industries, ongoing technological advancements are expected to mitigate associated risks over the forecast period, with the benefits of technology adoption outweighing potential security concerns in the long run.

Decision Intelligence Market Ecosystem

The decision intelligence ecosystem is a dynamic and interconnected network of entities that collectively enable seamless communication between machines and devices through satellite networks. This ecosystem encompasses a diverse range of players, each contributing specialized services and solutions to facilitate efficient and global connectivity. The ecosystem of the decision intelligence include solution/services/platform providers, end users, and regulatory bodies.

Top Companies in Decision Intelligence Market

By vertical, BFSI segment accounts for the largest market size during the forecast period.

The Banking, Financial Services, and Insurance (BFSI) sectors are experiencing significant growth in the decision intelligence market, driven by transformative technologies. Artificial Intelligence (AI) and Machine Learning (ML) algorithms are revolutionizing risk management, fraud detection, and customer insights, enhancing operational efficiencies and personalized services. Big Data analytics platforms handle massive datasets to extract valuable business intelligence, enabling data-driven decision-making across financial institutions. Moreover, adopting cloud computing infrastructure ensures scalable and cost-effective data processing, further fueling innovation and competitiveness in the BFSI sector's decision intelligence landscape.

By business functions, human resources segment is projected to grow at the highest CAGR during the forecast period.

Human Resources (HR) is experiencing substantial growth within the decision intelligence market due to advanced analytics, AI-driven tools, and predictive modeling. Organizations leverage HR data for talent acquisition, retention, and workforce optimization using machine learning algorithms. HR analytics enhances decision-making by providing insights into employee performance, engagement, and skill gaps. This data-driven approach enables companies to align HR strategies with business objectives, improve organizational effectiveness, and drive innovation. With the integration of big data technologies, HR professionals can harness real-time data streams for agile decision-making, fostering a competitive edge in talent management and organizational development within the evolving business landscape.

North America to account for the largest market size during the forecast period.

North American Decision Intelligence Market Size, and Share

Key Market Players

The major decision intelligence solution and service providers include IBM (US), Oracle (US), Intel (US), Microsoft (US), Google (US), TCS (INDIA), DOMO (US), Board International (Switzerland), Provenir (New Jersey), Pyramid Analytics (Netherlands), 4CAST(Israel), H20.ai(CA), Remi.AI (Australia), Quantellia (US), Peak.AI (UK), DIWO(US), Cerebra (US), Clarifai (US), FLYR LABS(US), Metaphacts (Germany), Systems Technology Group (US), Paretos(Germany), Course5i(US), Telius (US), Evolution Analytics (US), HyperFinity (UK), Aera Technology (US), Quantexa (UK), Urbint(US), PlanningForce(Belgium), EY(UK). These companies have used both organic and inorganic growth strategies such as product launches, acquisitions, and partnerships to strengthen their position in the decision intelligence market.

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Scope of the Report

Report Metrics

Details

Market size available for years

2019–2030

Base year considered

2023

Forecast period

2024–2030

Forecast units

USD Billion

Segments Covered

Offering, Type, Business Function, Vertical, and Region.

Geographies covered

North America, Europe, Asia Pacific, Middle East & Africa, and Latin America

Companies covered

IBM(US), Oracle (US), Google (US), Intel (US), Microsoft (US), TCS(INDIA), DOMO(US), Board International (Switzerland), Provenir (New Jersey), Pyramid Analytics (Netherlands), 4CAST(Israel), H20.ai(CA), Remi.AI (Australia), Quantellia (US), Peak.AI (UK), DIWO(US), Cerebra (US), Clarifai (US), FLYR LABS(US), Metaphacts (Germany), Systems Technology Group (US),paretos(Germany), Course5i(US), Telius (US), Evolution Analytics (US), HyperFinity (UK), Aera Technology (US), Quantexa (UK), Urbint(US), PlanningForce(Belgium), EY(UK)

This research report categorizes the decision intelligence market based on Offerings, Type, Business Functions, Verticals, and Region.

Offering:
  • Platform
  • Solution
    • By Integration Level
      • Integrated Solutions
      • Standalone Solutions
    • By Deployment Mode
      • Cloud
      • On-Premises
  • Services
    • Professional Services
      • Consulting
      • Deployment & Integration
      • System & Maintenance
    • Managed Services
By Type:
  • Decision automation
  • Decision Augmentation
  • Decision Support Systems (DSS)
By Organization Size:
  • Marketing & Sales
  • Finance & Accounting
  • Human Resources
  • Operations
  • Research & Development
By Verticals:
  • BFSI
  • Retail and eCommerce
  • Healthcare and Life Sciences
  • Telecommunications
  • Energy and Utilities
  • Manufacturing
  • Government
  • Defense
  • Others
By Region:
  • North America
    • US
    • Canada
  • Europe
    • UK
    • Germany
    • France
    • Italy
    • Spain
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • ANZ
    • Rest of Asia Pacific
  • Middle East & Africa
    • UAE
    • Kingdom of Saudi Arabia
    • Qatar
    • Israel
    • South Africa
    • Rest of the Middle East & Africa
  • Latin America
    • Brazil
    • Mexico
    • Argentina
    • Rest of Latin America

Recent Developments:

  • In February 2024, IBM Cloud Pak for Data version 4.8 introduced significant enhancements, offering faster access to distributed data sources, reduced ETL requests, and improved data cataloging capabilities. This update aimed to streamline data management processes, enhance productivity, and enable more efficient organizational decision-making leveraging the platform's features.
  • In November 2023, Wonderbox Group collaborated with Board, an intelligent planning solutions provider, to improve sales forecasting and cost optimization. It aimed to streamline budgeting processes, manage P&L more effectively, and boost technical performance through agile and customized processes. With the Board's tools, they can unify data, collaborate efficiently, and make informed decisions for controlling costs.
  • In November 2023, Provenir partnered with Tbi bank to enable real-time credit decisions at scale, showcasing the integration of decision intelligence into digital lending processes.
  • In September 2023, The Oracle Cloud Infrastructure (OCI) Generative AI service developed, in collaboration with Cohere, enhanced decision intelligence by automating business processes, improving decision-making, and enhancing customer experiences. This service supported large language models (LLMs) to optimize end-to-end processes while ensuring data security and privacy, aligning with the principles of responsible AI deployment.
  • In September 2022, Tata Consultancy Services (TCS) announced the latest release of its TCS Connected Intelligence Platform (CIP). The new release of CIP is a low-code decision intelligence platform designed to provide organizations with the next best actions for customers, employees, partners, and business processes in real-time. It offered a graphical, drag-and-drop interface for configuring the next best action strategies using business rules, segmentation, contextual data, and AI/ML models to accelerate the development and deployment of decision intelligence use cases. This update aimed to transform data into a strategic asset that delivers in-the-moment recommendations for informed and intelligent decisions across departments, value chains, and industries.

Frequently Asked Questions (FAQ):

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TABLE OF CONTENTS
 
1 INTRODUCTION (Page No. - 34)
    1.1 STUDY OBJECTIVES 
    1.2 MARKET DEFINITION 
           1.2.1 INCLUSIONS & EXCLUSIONS
    1.3 STUDY SCOPE 
           1.3.1 MARKET SEGMENTATION
           1.3.2 REGIONS COVERED
    1.4 YEARS CONSIDERED 
    1.5 CURRENCY CONSIDERED 
           TABLE 1 USD EXCHANGE RATE, 2020–2023
    1.6 STAKEHOLDERS 
    1.7 SUMMARY OF CHANGES 
           1.7.1 IMPACT OF RECESSION
 
2 RESEARCH METHODOLOGY (Page No. - 39)
    2.1 RESEARCH DATA 
           FIGURE 1 DECISION INTELLIGENCE MARKET: RESEARCH DESIGN
           2.1.1 SECONDARY DATA
           2.1.2 PRIMARY DATA
                    TABLE 2 PRIMARY INTERVIEWS
                    2.1.2.1 Breakup of primary profiles
                    2.1.2.2 Key insights from industry experts
    2.2 DATA TRIANGULATION 
           FIGURE 2 DATA TRIANGULATION
    2.3 MARKET SIZE ESTIMATION 
           FIGURE 3 MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
           2.3.1 TOP-DOWN APPROACH
           2.3.2 BOTTOM-UP APPROACH
                    FIGURE 4 APPROACH 1 (SUPPLY SIDE): REVENUE OF PLATFORMS/SOLUTIONS/SERVICES IN MARKET
                    FIGURE 5 APPROACH 2 (BOTTOM-UP; SUPPLY SIDE): COLLECTIVE REVENUE OF PLATFORMS/SOLUTIONS/SERVICES IN MARKET
                    FIGURE 6 APPROACH 3 (BOTTOM-UP; SUPPLY SIDE): COLLECTIVE REVENUE FROM PLATFORMS/SOLUTIONS/SERVICES OF MARKET
                    FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY—APPROACH 3—BOTTOM-UP (DEMAND SIDE): SHARE OF DECISION INTELLIGENCE MARKET THROUGH OVERALL SPENDING
    2.4 MARKET FORECAST 
           TABLE 3 FACTOR ANALYSIS
    2.5 RESEARCH ASSUMPTIONS 
    2.6 LIMITATIONS 
    2.7 IMPACT OF RECESSION ON GLOBAL MARKET 
 
3 EXECUTIVE SUMMARY (Page No. - 51)
    TABLE 4 DECISION INTELLIGENCE MARKET AND GROWTH RATE, 2019–2023 (USD MILLION, Y-O-Y) 
    TABLE 5 MARKET AND GROWTH RATE, 2024–2030 (USD MILLION, Y-O-Y) 
    FIGURE 8 PLATFORMS SEGMENT TO ACCOUNT FOR LARGEST MARKET IN 2024 
    FIGURE 9 INTEGRATED SOLUTIONS SEGMENT TO ACCOUNT FOR LARGER MARKET SHARE IN 2024 
    FIGURE 10 CLOUD DEPLOYMENT MODE TO ACCOUNT FOR LARGER MARKET SHARE IN 2024 
    FIGURE 11 PROFESSIONAL SERVICES SEGMENT TO ACCOUNT FOR LARGER MARKET SHARE IN 2024 
    FIGURE 12 CONSULTING SERVICES SEGMENT TO ACCOUNT FOR LARGEST MARKET IN 2024 
    FIGURE 13 DECISION AUTOMATION SEGMENT TO ACCOUNT FOR LARGEST MARKET IN 2024 
    FIGURE 14 MARKETING & SALES SEGMENT TO ACCOUNT FOR LARGEST MARKET IN 2024 
    FIGURE 15 BFSI SEGMENT TO ACCOUNT FOR LARGEST MARKET IN 2024 
    FIGURE 16 NORTH AMERICA TO ACCOUNT FOR LARGEST MARKET SHARE IN 2024 
 
4 PREMIUM INSIGHTS (Page No. - 57)
    4.1 ATTRACTIVE OPPORTUNITIES FOR KEY VENDORS IN DECISION INTELLIGENCE MARKET 
           FIGURE 17 GROWING ADVENT OF MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE TO PROPEL MARKET
    4.2 OVERVIEW OF RECESSION IN MARKET 
           FIGURE 18 MARKET TO WITNESS A MINOR DECLINE IN Y-O-Y GROWTH IN 2024
    4.3 MARKET: TOP THREE BUSINESS FUNCTIONS 
           FIGURE 19 MARKETING & SALES SEGMENT TO ACCOUNT FOR LARGEST MARKET DURING FORECAST PERIOD
    4.4 MARKET, BY OFFERING AND KEY VERTICAL, 2024 
           FIGURE 20 PLATFORMS AND BFSI SEGMENTS TO ACCOUNT FOR SIGNIFICANT MARKET SHARES IN 2024
    4.5 MARKET, BY REGION, 2024 
           FIGURE 21 NORTH AMERICA TO ACCOUNT FOR THE LARGEST MARKET SHARE IN 2024
 
5 MARKET OVERVIEW AND INDUSTRY TRENDS (Page No. - 60)
    5.1 INTRODUCTION 
    5.2 MARKET DYNAMICS 
           FIGURE 22 DECISION INTELLIGENCE MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
           5.2.1 DRIVERS
                    5.2.1.1 Advent of ML and AI helping various industries to maximize potential
                    5.2.1.2 Increase in need to lower risks associated with human decisions
           5.2.2 RESTRAINTS
                    5.2.2.1 Information overload and dependence on decision support systems
                    5.2.2.2 Inability to quantify RoI
           5.2.3 OPPORTUNITIES
                    5.2.3.1 Surge in developments of big data technology for actionable business intelligence
                    5.2.3.2 Elimination of mistakes and biases from decision-making process to boost adoption of decision intelligence technology
           5.2.4 CHALLENGES
                    5.2.4.1 Extraction of data from data silos
                    5.2.4.2 Concerns about security and privacy of data
    5.3 EVOLUTION 
           FIGURE 23 DECISION INTELLIGENCE MARKET EVOLUTION
    5.4 ECOSYSTEM ANALYSIS 
           FIGURE 24 KEY PLAYERS IN MARKET ECOSYSTEM
           TABLE 6 ROLE OF PLAYERS IN MARKET ECOSYSTEM
           5.4.1 SOLUTION PROVIDERS
           5.4.2 SERVICE PROVIDERS
           5.4.3 PLATFORM PROVIDERS
           5.4.4 END USERS
           5.4.5 REGULATORY BODIES
    5.5 CASE STUDY ANALYSIS 
           5.5.1 FACULTY AI LEVERAGED AI TO ENHANCE MILITARY CAPABILITIES AND PROTECT CITIZENS
           5.5.2 BIGBEAR.AI SUPPORTED DOD IN ACHIEVING DECISION ADVANTAGE THROUGH AI-POWERED ANALYTICS
           5.5.3 HUMANA USED IBM WATSON ASSISTANT TO ADDRESS CUSTOMER QUERIES
           5.5.4 COCA-COLA USED IBM WATSON SERVICES FOR CORE MACHINE LEARNING TO IDENTIFY EQUIPMENT ISSUES, DIAGNOSE PROBLEMS, AND TROUBLESHOOT REPAIRS
           5.5.5 FREEANDSINGLE GENERATED 5× MORE VALUE FROM EXISTING USER BASE WITH PEAK.AI
           5.5.6 PYRAMID ANALYTICS HELPED BROWARD COUNTY AVIATION’S FORT LAUDERDALE-HOLLYWOOD INTERNATIONAL AIRPORT TAKE DECISION INTELLIGENCE TO NEW HEIGHTS
           5.5.7 CLEARSENSE IMPROVED HEALTHCARE OPERATIONS THROUGH DATA ANALYSIS WITH SMARTVIEW
    5.6 SUPPLY CHAIN ANALYSIS 
           FIGURE 25 SUPPLY/VALUE CHAIN ANALYSIS
    5.7 REGULATORY LANDSCAPE 
           5.7.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 7 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 8 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 9 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 10 MIDDLE EAST & AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 11 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    5.7.1.1 North America
                               5.7.1.1.1 US
                               5.7.1.1.2 Canada
                    5.7.1.2 Europe
                    5.7.1.3 Asia Pacific
                               5.7.1.3.1 China
                               5.7.1.3.2 India
                    5.7.1.4 Middle East & Africa
                               5.7.1.4.1 UAE
                               5.7.1.4.2 KSA
                               5.7.1.4.3 Israel
                    5.7.1.5 Latin America
                               5.7.1.5.1 Brazil
                               5.7.1.5.2 Mexico
    5.8 PATENT ANALYSIS 
           5.8.1 METHODOLOGY
           5.8.2 PATENTS FILED, BY DOCUMENT TYPE
                    TABLE 12 PATENTS FILED, 2013–2023
           5.8.3 INNOVATION AND PATENT APPLICATIONS
                    FIGURE 26 PATENTS GRANTED, 2013–2023
           5.8.4 TOP 10 APPLICANTS IN DECISION INTELLIGENCE MARKET
                    FIGURE 27 TOP 10 APPLICANTS IN MARKET, 2013–2023
                    FIGURE 28 REGIONAL ANALYSIS OF PATENTS GRANTED, 2013–2023
                    TABLE 13 TOP 20 PATENT OWNERS IN MARKET, 2013–2023
                    TABLE 14 LIST OF PATENTS GRANTED IN MARKET, 2021–2023
    5.9 TECHNOLOGICAL ANALYSIS 
           5.9.1 KEY TECHNOLOGIES
                    5.9.1.1 Artificial Intelligence (AI)
                    5.9.1.2 Big data
                    5.9.1.3 Cybersecurity
           5.9.2 ADJACENT TECHNOLOGIES
                    5.9.2.1 Blockchain
                    5.9.2.2 IoT
           5.9.3 COMPLEMENTARY TECHNOLOGIES
                    5.9.3.1 NLP
                    5.9.3.2 Cloud computing
                    5.9.3.3 Digital twins
    5.10 PORTER’S FIVE FORCES ANALYSIS 
           FIGURE 29 PORTER’S FIVE FORCES ANALYSIS
           TABLE 15 DECISION INTELLIGENCE MARKET: PORTER’S FIVE FORCES ANALYSIS
           5.10.1 THREAT OF NEW ENTRANTS
           5.10.2 THREAT OF SUBSTITUTES
           5.10.3 BARGAINING POWER OF SUPPLIERS
           5.10.4 BARGAINING POWER OF BUYERS
           5.10.5 INTENSITY OF COMPETITIVE RIVALRY
    5.11 KEY STAKEHOLDERS & BUYING CRITERIA 
           5.11.1 KEY STAKEHOLDERS IN BUYING PROCESS
                    FIGURE 30 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS
                    TABLE 16 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR KEY VERTICALS
           5.11.2 BUYING CRITERIA
                    FIGURE 31 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
                    TABLE 17 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
    5.12 TECHNOLOGY ROADMAP OF DECISION INTELLIGENCE MARKET 
                    TABLE 18 SHORT-TERM ROADMAP (UP TO 2027)
                    TABLE 19 LONG-TERM ROADMAP (UP TO 2030)
    5.13 BUSINESS MODELS OF MARKET 
                    TABLE 20 BUSINESS MODELS OF MARKET
    5.14 IMPACT OF DECISION INTELLIGENCE ON ENVIRONMENT, SOCIAL, AND GOVERNANCE INITIATIVES 
    5.15 KEY CONFERENCES & EVENTS 
                    TABLE 21 MARKET: DETAILED LIST OF CONFERENCES & EVENTS, 2024–2025
    5.16 INVESTMENT AND FUNDING SCENARIO 
                    FIGURE 32 MARKET: INVESTMENT LANDSCAPE, 2017–2022
    5.17 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES 
                    FIGURE 33 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES
    5.18 PRICING ANALYSIS 
           5.18.1 AVERAGE SELLING PRICE TRENDS OF KEY PLAYERS, BY APPLICATION
                    FIGURE 34 AVERAGE SELLING PRICE TRENDS OF KEY PLAYERS, BY APPLICATION
                    TABLE 22 AVERAGE SELLING PRICE TRENDS OF KEY PLAYERS, BY APPLICATION
           5.18.2 INDICATIVE PRICING ANALYSIS, BY DECISION INTELLIGENCE PLATFORM VENDOR
                    TABLE 23 DECISION INTELLIGENCE PLATFORM: INDICATIVE PRICING LEVELS OF DECISION INTELLIGENCE PLATFORM, BY OFFERING
 
6 DECISION INTELLIGENCE MARKET, BY OFFERING (Page No. - 99)
    6.1 INTRODUCTION 
           6.1.1 OFFERINGS: MARKET DRIVERS
                    FIGURE 35 SOLUTIONS SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
                    TABLE 24 MARKET, BY OFFERING, 2019–2023 (USD MILLION)
                    TABLE 25 MARKET, BY OFFERING, 2024–2030 (USD MILLION)
    6.2 PLATFORMS 
           6.2.1 PLATFORMS TO OFFER SCALABILITY AND FLEXIBILITY, ADAPT TO GROWING ORGANIZATIONAL NEEDS, AND SUPPORT VARIOUS DEPLOYMENT OPTIONS
                    TABLE 26 PLATFORMS: MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 27 PLATFORMS: MARKET, BY REGION, 2024–2030 (USD MILLION)
    6.3 SOLUTIONS 
           6.3.1 OPTIMIZATION OF RESOURCE ALLOCATION AND NEED TO MAKE INFORMED DECISIONS TO DRIVE MARKET
                    FIGURE 36 INTEGRATED SOLUTIONS SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
                    TABLE 28 SOLUTIONS: MARKET, BY INTEGRATION LEVEL, 2019–2023 (USD MILLION)
                    TABLE 29 SOLUTIONS: MARKET, BY INTEGRATION LEVEL, 2024–2030 (USD MILLION)
           6.3.2 BY INTEGRATION LEVEL
                    6.3.2.1 Integrated solutions
                               TABLE 30 INTEGRATED SOLUTIONS: DECISION INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
                               TABLE 31 INTEGRATED SOLUTIONS: MARKET, BY REGION, 2024–2030 (USD MILLION)
                    6.3.2.2 Standalone solutions
                               TABLE 32 STANDALONE SOLUTIONS: MARKET, BY REGION, 2019–2023 (USD MILLION)
                               TABLE 33 STANDALONE SOLUTIONS: MARKET, BY REGION, 2024–2030 (USD MILLION)
           6.3.3 BY DEPLOYMENT MODE
                    FIGURE 37 CLOUD SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
                    TABLE 34 SOLUTIONS: MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
                    TABLE 35 SOLUTIONS: MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD MILLION)
                    6.3.3.1 On-premises
                               6.3.3.1.1 Handling sensitive data, maintaining control over data security, and ensuring compliance with regulations to propel market
                               TABLE 36 ON-PREMISES: DECISION INTELLIGENCE SOLUTIONS MARKET, BY REGION, 2019–2023 (USD MILLION)
                               TABLE 37 ON-PREMISES: DECISION INTELLIGENCE SOLUTIONS MARKET, BY REGION, 2024–2030 (USD MILLION)
                    6.3.3.2 Cloud
                               6.3.3.2.1 Need for seamless integration with other applications and enhancement of agility and scalability for efficient decision-making to contribute to market growth
                               TABLE 38 CLOUD: DECISION INTELLIGENCE SOLUTIONS MARKET, BY REGION, 2019–2023 (USD MILLION)
                               TABLE 39 CLOUD: DECISION INTELLIGENCE SOLUTIONS MARKET, BY REGION, 2024–2030 (USD MILLION)
    6.4 SERVICES 
           6.4.1 DECISION INTELLIGENCE SERVICES TO EVALUATE CURRENT PROCESSES, IDENTIFY IMPROVEMENT AREAS, AND DEVISE IMPLEMENTATION STRATEGIES
                    FIGURE 38 PROFESSIONAL SERVICES SEGMENT TO ACCOUNT FOR LARGER MARKET DURING FORECAST PERIOD
                    TABLE 40 MARKET, BY SERVICE, 2019–2023 (USD MILLION)
                    TABLE 41 MARKET, BY SERVICE, 2024–2030 (USD MILLION)
                    TABLE 42 SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 43 SERVICES: DECISION INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD MILLION)
           6.4.2 PROFESSIONAL SERVICES
                    FIGURE 39 CONSULTING SERVICES SEGMENT TO ACCOUNT FOR LARGEST MARKET DURING FORECAST PERIOD
                    TABLE 44 MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
                    TABLE 45 MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)
                    TABLE 46 PROFESSIONAL SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 47 PROFESSIONAL SERVICES: MARKET, BY REGION, 2024–2030 (USD MILLION)
                    6.4.2.1 Consulting services
                               TABLE 48 CONSULTING SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
                               TABLE 49 CONSULTING SERVICES: MARKET, BY REGION, 2024–2030 (USD MILLION)
                    6.4.2.2 Deployment & integration services
                               TABLE 50 DEPLOYMENT & INTEGRATION SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
                               TABLE 51 DEPLOYMENT & INTEGRATION SERVICES: MARKET, BY REGION, 2024–2030 (USD MILLION)
                    6.4.2.3 Support & maintenance services
                               TABLE 52 SUPPORT & MAINTENANCE SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
                               TABLE 53 SUPPORT & MAINTENANCE SERVICES: MARKET, BY REGION, 2024–2030 (USD MILLION)
           6.4.3 MANAGED SERVICES
                               TABLE 54 MANAGED SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
                               TABLE 55 MANAGED SERVICES: MARKET, BY REGION, 2024–2030 (USD MILLION)
 
7 DECISION INTELLIGENCE MARKET, BY TYPE (Page No. - 117)
    7.1 INTRODUCTION 
           7.1.1 TYPES: MARKET DRIVERS
                    FIGURE 40 DECISION SUPPORT SYSTEMS SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
                    TABLE 56 MARKET, BY TYPE, 2019–2023 (USD MILLION)
                    TABLE 57 MARKET, BY TYPE, 2024–2030 (USD MILLION)
    7.2 DECISION AUTOMATION 
           7.2.1 NEED TO REDUCE ERRORS, ENSURE CONSISTENCY IN DECISION OUTCOMES, AND ENHANCE OVERALL DECISION QUALITY WHILE MINIMIZING OPERATIONAL COSTS TO SPUR MARKET GROWTH
                    TABLE 58 DECISION AUTOMATION: MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 59 DECISION AUTOMATION: MARKET, BY REGION, 2024–2030 (USD MILLION)
    7.3 DECISION AUGMENTATION 
           7.3.1 GROWING DEMAND FOR DATA-CENTRIC DECISION-MAKING SOLUTIONS AND NEED FOR AGILE DECISION-MAKING PROCESSES TO PROPEL MARKET
                    TABLE 60 DECISION AUGMENTATION: MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 61 DECISION AUGMENTATION: MARKET, BY REGION, 2024–2030 (USD MILLION)
    7.4 DECISION SUPPORT SYSTEMS (DSS) 
           7.4.1 NEED FOR SOPHISTICATED SYSTEMS AND COMPLIANCE WITH INDUSTRY REGULATIONS IN REGULATED INDUSTRIES TO DRIVE MARKET
                    TABLE 62 DECISION SUPPORT SYSTEMS: MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 63 DECISION SUPPORT SYSTEMS: MARKET, BY REGION, 2024–2030 (USD MILLION)
 
8 DECISION INTELLIGENCE MARKET, BY BUSINESS FUNCTION (Page No. - 123)
    8.1 INTRODUCTION 
           8.1.1 BUSINESS FUNCTIONS: MARKET DRIVERS
                    FIGURE 41 SALES & MARKETING SEGMENT TO LEAD MARKET DURING FORECAST PERIOD
                    TABLE 64 MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)
                    TABLE 65 MARKET, BY BUSINESS FUNCTION, 2024–2030 (USD MILLION)
    8.2 MARKETING & SALES 
           8.2.1 DECISION INTELLIGENCE TO PROVIDE PREDICTIVE INSIGHTS, OPTIMIZE DECISION-MAKING PROCESSES, AND ENHANCE OVERALL BUSINESS PERFORMANCE
                    TABLE 66 MARKETING & SALES: MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 67 MARKETING & SALES: MARKET, BY REGION, 2024–2030 (USD MILLION)
           8.2.2 BRAND PERFORMANCE
           8.2.3 PROMOTION/INCENTIVE OPTIMIZATION
           8.2.4 CUSTOMER SEGMENTATION
           8.2.5 MULTICHANNEL ANALYSIS
           8.2.6 OTHER MARKETING & SALES FUNCTIONS
    8.3 FINANCE & ACCOUNTING 
           8.3.1 NEED TO MAKE INFORMED AND IMPACTFUL DECISIONS TO DRIVE SUSTAINABLE GROWTH AND PROFITABILITY
                    TABLE 68 FINANCE & ACCOUNTING: MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 69 FINANCE & ACCOUNTING: MARKET, BY REGION, 2024–2030 (USD MILLION)
           8.3.2 FINANCIAL PLANNING & ANALYSIS
           8.3.3 COST OPTIMIZATION & MANAGEMENT
           8.3.4 TAX PLANNING & OPTIMIZATION
           8.3.5 OTHER FINANCE & ACCOUNTING FUNCTIONS
    8.4 HUMAN RESOURCES 
           8.4.1 DECISION INTELLIGENCE IN HUMAN RESOURCES TO AMPLIFY ORGANIZATIONAL EFFICACY, NURTURE EMPLOYEE CONTENTMENT, AND FUEL SUSTAINABLE GROWTH THROUGH JUDICIOUS DECISION-MAKING
                    TABLE 70 HUMAN RESOURCES: DECISION INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 71 HUMAN RESOURCES: MARKET, BY REGION, 2024–2030 (USD MILLION)
           8.4.2 EMPLOYEE RETENTION
           8.4.3 WORKFORCE ALLOCATION OPTIMIZATION
           8.4.4 SKILL ASSESSMENT
           8.4.5 OTHER HUMAN RESOURCE FUNCTIONS
    8.5 OPERATIONS 
           8.5.1 DECISION INTELLIGENCE TO PROCESS LARGE AMOUNTS OF DATA, IMPROVE DECISION-MAKING PROCESSES, AND DEMOCRATIZE ANALYTICS BY MERGING SOCIAL SCIENCE WITH DATA SCIENCE
                    TABLE 72 OPERATIONS: MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 73 OPERATIONS: MARKET, BY REGION, 2024–2030 (USD MILLION)
           8.5.2 ROOT CAUSE ANALYSIS
           8.5.3 DEMAND FORECASTING
           8.5.4 SUPPLIER PERFORMANCE
           8.5.5 OTHER OPERATIONAL FUNCTIONS
    8.6 RESEARCH & DEVELOPMENT 
           8.6.1 DECISION INTELLIGENCE TO FOCUS ON FORWARD-LOOKING, DATA-DRIVEN DECISIONS, UTILIZING AI TOOLS AND HUMAN EXPERTISE TO MITIGATE UNCERTAINTY PROCESS
                    TABLE 74 RESEARCH & DEVELOPMENT: MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 75 RESEARCH & DEVELOPMENT: MARKET, BY REGION, 2024–2030 (USD MILLION)
           8.6.2 IDEA EVALUATION
           8.6.3 RESOURCE ALLOCATION
           8.6.4 PROJECT PRIORITIZATION
           8.6.5 PORTFOLIO MANAGEMENT
           8.6.6 OTHER RESEARCH & DEVELOPMENT FUNCTIONS
 
9 DECISION INTELLIGENCE MARKET, BY VERTICAL (Page No. - 137)
    9.1 INTRODUCTION 
           9.1.1 VERTICALS: MARKET DRIVERS
                    FIGURE 42 BFSI SEGMENT TO ACCOUNT FOR LARGEST MARKET DURING FORECAST PERIOD
                    TABLE 76 MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
                    TABLE 77 MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
    9.2 BFSI 
           9.2.1 NEED FOR BANKS TO EXPAND THEIR CUSTOMER BASE, ENHANCE MARKET PRESENCE, AND BOOST REVENUE WHILE MINIMIZING COSTS TO PROPEL MARKET
                    TABLE 78 BANKING, FINANCIAL SERVICES, AND INSURANCE: USE CASES
                    TABLE 79 BFSI: DECISION INTELLIGENCE MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
                    TABLE 80 BFSI: MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
                    TABLE 81 BFSI: MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 82 BFSI: MARKET, BY REGION, 2024–2030 (USD MILLION)
           9.2.2 ASSET & INVESTMENT MANAGEMENT
           9.2.3 CUSTOMER SUPPORT
           9.2.4 CREDIT DECISIONS
           9.2.5 FRAUD DETECTION
           9.2.6 INSURANCE PRODUCT & POLICY DESIGN
           9.2.7 OTHER BFSI APPLICATIONS
    9.3 RETAIL & ECOMMERCE 
           9.3.1 DECISION INTELLIGENCE TO OPTIMIZE PRICING STRATEGIES, ENHANCE POLICY FORMULATION, AND IMPROVE REVENUE
                    TABLE 83 RETAIL & ECOMMERCE: USE CASES
                    TABLE 84 RETAIL & ECOMMERCE: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
                    TABLE 85 RETAIL & ECOMMERCE: MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
                    TABLE 86 RETAIL & ECOMMERCE: MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 87 RETAIL & ECOMMERCE: MARKET, BY REGION, 2024–2030 (USD MILLION)
           9.3.2 PERSONALIZED RECOMMENDATIONS
           9.3.3 SUPPLY CHAIN MANAGEMENT
           9.3.4 VIRTUAL ASSISTANT
           9.3.5 OMNICHANNEL INTEGRATION
           9.3.6 OTHER RETAIL & ECOMMERCE APPLICATIONS
    9.4 HEALTHCARE & LIFE SCIENCES 
           9.4.1 DECISION INTELLIGENCE SOLUTIONS TO PROVIDE BETTER HEALTHCARE SYSTEM WITH LESSER DATA ISSUES
                    TABLE 88 HEALTHCARE & LIFE SCIENCES: USE CASES
                    TABLE 89 HEALTHCARE & LIFE SCIENCES: DECISION INTELLIGENCE MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
                    TABLE 90 HEALTHCARE & LIFE SCIENCES: MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
                    TABLE 91 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 92 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2024–2030 (USD MILLION)
           9.4.2 MEDICAL IMAGING & DIAGNOSTICS
           9.4.3 EMERGENCY SUPPORT
           9.4.4 DRUG DISCOVERY & CLINICAL RESEARCH
           9.4.5 TECHNICAL DIAGNOSIS & SUPPORT
           9.4.6 OTHER HEALTHCARE & LIFE SCIENCES APPLICATIONS
    9.5 TELECOMMUNICATIONS 
           9.5.1 DECISION INTELLIGENCE TO ENABLE HIGH-QUALITY DATA GOVERNANCE AND DATA-DRIVEN DECISION-MAKING FOR CUSTOMERS' BUSINESS ACTIVITIES
                    TABLE 93 TELECOMMUNICATIONS: USE CASES
                    TABLE 94 TELECOMMUNICATIONS: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
                    TABLE 95 TELECOMMUNICATIONS: MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
                    TABLE 96 TELECOMMUNICATIONS: MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 97 TELECOMMUNICATIONS: MARKET, BY REGION, 2024–2030 (USD MILLION)
           9.5.2 AGENT SUPPORT & CUSTOMER SERVICES
           9.5.3 SERVICE ASSURANCE
           9.5.4 NETWORK ANALYSIS
           9.5.5 SPECTRUM MANAGEMENT
           9.5.6 OTHER TELECOMMUNICATION APPLICATIONS
    9.6 ENERGY & UTILITIES 
           9.6.1 DECISION INTELLIGENCE SOLUTIONS TO ENHANCE UNDERSTANDING OF EXTERNAL FACTORS AFFECTING OPERATING PARAMETERS AND HELP REDUCE WASTE
                    TABLE 98 ENERGY & UTILITIES: USE CASES
                    TABLE 99 ENERGY & UTILITIES: DECISION INTELLIGENCE MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
                    TABLE 100 ENERGY & UTILITIES: MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
                    TABLE 101 ENERGY & UTILITIES: MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 102 ENERGY & UTILITIES: MARKET, BY REGION, 2024–2030 (USD MILLION)
           9.6.2 PREDICTIVE MAINTENANCE
           9.6.3 OUTAGE MANAGEMENT
           9.6.4 BUSINESS PROCESS AUTOMATION
           9.6.5 ENERGY MONITORING
           9.6.6 OTHER ENERGY & UTILITY APPLICATIONS
    9.7 MANUFACTURING 
           9.7.1 DECISION INTELLIGENCE TO TACKLE MANUFACTURING CHALLENGES WITH FASTER AND SMARTER DECISION-MAKING
                    TABLE 103 MANUFACTURING: USE CASES
                    TABLE 104 MANUFACTURING: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
                    TABLE 105 MANUFACTURING: MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
                    TABLE 106 MANUFACTURING: MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 107 MANUFACTURING: MARKET, BY REGION, 2024–2030 (USD MILLION)
           9.7.2 PERFORMANCE MONITORING & CONTROL
           9.7.3 QUALITY CONTROL
           9.7.4 GENERATIVE DESIGN
           9.7.5 PRODUCTION YIELD OPTIMIZATION
           9.7.6 OTHER MANUFACTURING APPLICATIONS
    9.8 GOVERNMENT 
           9.8.1 DECISION INTELLIGENCE TO HELP POLICYMAKERS ANALYZE LARGE DATASETS OF DIFFERENT POLICY OPTIONS, ALLOCATE RESOURCES EFFICIENTLY BASED ON DATA-DRIVEN INSIGHTS, AND MITIGATE RISKS
                    TABLE 108 GOVERNMENT: USE CASES
                    TABLE 109 GOVERNMENT: DECISION INTELLIGENCE MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
                    TABLE 110 GOVERNMENT: MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
                    TABLE 111 GOVERNMENT: MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 112 GOVERNMENT: MARKET, BY REGION, 2024–2030 (USD MILLION)
           9.8.2 UNIFYING DATA
           9.8.3 AI-POWERED CHATBOTS
           9.8.4 POLICYMAKING
           9.8.5 AUTOMATING INCIDENT RESPONSE
           9.8.6 TARGETED RESOURCE ALLOCATION
           9.8.7 IMPROVED CITIZEN SERVICES
           9.8.8 OTHER GOVERNMENT APPLICATIONS
    9.9 DEFENSE 
           9.9.1 DECISION INTELLIGENCE TO AID IN ENHANCING INTEROPERABILITY AND COALITION
                    TABLE 113 DEFENSE: USE CASES
                    TABLE 114 DEFENSE: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
                    TABLE 115 DEFENSE: MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
                    TABLE 116 DEFENSE: MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 117 DEFENSE: MARKET, BY REGION, 2024–2030 (USD MILLION)
           9.9.2 TARGET RECOGNITION
           9.9.3 COMMAND & CONTROL SYSTEMS
           9.9.4 INTELLIGENCE & SURVEILLANCE
           9.9.5 MISSION PLANNING
           9.9.6 EMERGENCY MANAGEMENT
           9.9.7 OTHER DEFENSE APPLICATIONS
    9.10 OTHER VERTICALS 
                    TABLE 118 OTHER VERTICALS: MARKET, BY REGION, 2019–2023 (USD MILLION)
                    TABLE 119 OTHER VERTICALS: MARKET, BY REGION, 2024–2030 (USD MILLION)
 
10 DECISION INTELLIGENCE MARKET, BY REGION (Page No. - 174)
     10.1 INTRODUCTION 
               FIGURE 43 NORTH AMERICA TO ACCOUNT FOR LARGEST SHARE DURING FORECAST PERIOD
               FIGURE 44 INDIA TO WITNESS HIGHEST GROWTH DURING FORECAST PERIOD
               TABLE 120 MARKET, BY REGION, 2019–2023 (USD MILLION)
               TABLE 121 MARKET, BY REGION, 2024–2030 (USD MILLION)
     10.2 NORTH AMERICA 
             10.2.1 NORTH AMERICA: MARKET DRIVERS
             10.2.2 NORTH AMERICA: RECESSION IMPACT
                       FIGURE 45 NORTH AMERICA: MARKET SNAPSHOT
                       TABLE 122 NORTH AMERICA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
                       TABLE 123 NORTH AMERICA: DECISION INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD MILLION)
                       TABLE 124 NORTH AMERICA: DECISION INTELLIGENCE SOLUTIONS MARKET, BY INTEGRATION LEVEL, 2019–2023 (USD MILLION)
                       TABLE 125 NORTH AMERICA: DECISION INTELLIGENCE SOLUTIONS MARKET, BY INTEGRATION LEVEL, 2024–2030 (USD MILLION)
                       TABLE 126 NORTH AMERICA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
                       TABLE 127 NORTH AMERICA: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
                       TABLE 128 NORTH AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
                       TABLE 129 NORTH AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)
                       TABLE 130 NORTH AMERICA: DECISION INTELLIGENCE SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
                       TABLE 131 NORTH AMERICA: DECISION INTELLIGENCE SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD MILLION)
                       TABLE 132 NORTH AMERICA: MARKET, BY TYPE, 2019–2023 (USD MILLION)
                       TABLE 133 NORTH AMERICA: MARKET, BY TYPE, 2024–2030 (USD MILLION)
                       TABLE 134 NORTH AMERICA: MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)
                       TABLE 135 NORTH AMERICA: MARKET, BY BUSINESS FUNCTION, 2024–2030 (USD MILLION)
                       TABLE 136 NORTH AMERICA: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
                       TABLE 137 NORTH AMERICA: MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
                       TABLE 138 NORTH AMERICA: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
                       TABLE 139 NORTH AMERICA: MARKET, BY COUNTRY, 2024–2030 (USD MILLION)
             10.2.3 US
                       10.2.3.1 Rapid advancements in AI and ML and rise of sophisticated predictive analytics and prescriptive insights to spur market growth
                                   TABLE 140 US: DECISION INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
                                   TABLE 141 US: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
                                   TABLE 142 US: DECISION INTELLIGENCE SOLUTIONS MARKET, BY INTEGRATION LEVEL, 2019–2023 (USD MILLION)
                                   TABLE 143 US: DECISION INTELLIGENCE SOLUTIONS MARKET, BY INTEGRATION LEVEL, 2024–2030 (USD MILLION)
                                   TABLE 144 US: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
                                   TABLE 145 US: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
                                   TABLE 146 US: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
                                   TABLE 147 US: MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)
                                   TABLE 148 US: DECISION INTELLIGENCE SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
                                   TABLE 149 US: DECISION INTELLIGENCE SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD MILLION)
             10.2.4 CANADA
                       10.2.4.1 Government initiatives to boost investments in decision intelligence to propel market
     10.3 EUROPE 
             10.3.1 EUROPE: MARKET DRIVERS
             10.3.2 EUROPE: RECESSION IMPACT
                       TABLE 150 EUROPE: DECISION INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
                       TABLE 151 EUROPE: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
                       TABLE 152 EUROPE: DECISION INTELLIGENCE SOLUTIONS MARKET, BY INTEGRATION LEVEL, 2019–2023 (USD MILLION)
                       TABLE 153 EUROPE: DECISION INTELLIGENCE SOLUTIONS MARKET, BY INTEGRATION LEVEL, 2024–2030 (USD MILLION)
                       TABLE 154 EUROPE: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
                       TABLE 155 EUROPE: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
                       TABLE 156 EUROPE: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
                       TABLE 157 EUROPE: MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)
                       TABLE 158 EUROPE: DECISION INTELLIGENCE SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
                       TABLE 159 EUROPE: DECISION INTELLIGENCE SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD MILLION)
                       TABLE 160 EUROPE: MARKET, BY TYPE, 2019–2023 (USD MILLION)
                       TABLE 161 EUROPE: MARKET, BY TYPE, 2024–2030 (USD MILLION)
                       TABLE 162 EUROPE: MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)
                       TABLE 163 EUROPE: MARKET, BY BUSINESS FUNCTION, 2024–2030 (USD MILLION)
                       TABLE 164 EUROPE: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
                       TABLE 165 EUROPE: MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
                       TABLE 166 EUROPE: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
                       TABLE 167 EUROPE: MARKET, BY COUNTRY, 2024–2030 (USD MILLION)
             10.3.3 GERMANY
                       10.3.3.1 Rise in tech advancements and growing demand for data-driven solutions to spur growth
                                   TABLE 168 GERMANY: DECISION INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
                                   TABLE 169 GERMANY: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
                                   TABLE 170 GERMANY: DECISION INTELLIGENCE SOLUTIONS MARKET, BY INTEGRATION LEVEL, 2019–2023 (USD MILLION)
                                   TABLE 171 GERMANY: DECISION INTELLIGENCE SOLUTIONS MARKET, BY INTEGRATION LEVEL, 2024–2030 (USD MILLION)
                                   TABLE 172 GERMANY: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
                                   TABLE 173 GERMANY: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
                                   TABLE 174 GERMANY: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
                                   TABLE 175 GERMANY: MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)
                                   TABLE 176 GERMANY: DECISION INTELLIGENCE SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
                                   TABLE 177 GERMANY: DECISION INTELLIGENCE SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD MILLION)
             10.3.4 UK
                       10.3.4.1 Recent advancements in technology and notable government initiatives to drive growth
             10.3.5 FRANCE
                       10.3.5.1 Need for actionable insights facilitated by seamless integration of AI and ML into existing business intelligence frameworks to drive market
             10.3.6 ITALY
                       10.3.6.1 Government initiatives to support growth of digital economy and foster innovation to propel market
             10.3.7 SPAIN
                       10.3.7.1 Advancements in technology and increasing adoption of decision intelligence solutions to drive its demand
             10.3.8 REST OF EUROPE
     10.4 ASIA PACIFIC 
             10.4.1 ASIA PACIFIC: MARKET DRIVERS
             10.4.2 ASIA PACIFIC: RECESSION IMPACT
                       FIGURE 46 ASIA PACIFIC: DECISION INTELLIGENCE MARKET SNAPSHOT
                       TABLE 178 ASIA PACIFIC: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
                       TABLE 179 ASIA PACIFIC: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
                       TABLE 180 ASIA PACIFIC: DECISION INTELLIGENCE SOLUTIONS MARKET, BY INTEGRATION LEVEL, 2019–2023 (USD MILLION)
                       TABLE 181 ASIA PACIFIC: DECISION INTELLIGENCE SOLUTIONS MARKET, BY INTEGRATION LEVEL, 2024–2030 (USD MILLION)
                       TABLE 182 ASIA PACIFIC: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
                       TABLE 183 ASIA PACIFIC: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
                       TABLE 184 ASIA PACIFIC: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
                       TABLE 185 ASIA PACIFIC: MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)
                       TABLE 186 ASIA PACIFIC: DECISION INTELLIGENCE SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
                       TABLE 187 ASIA PACIFIC: DECISION INTELLIGENCE SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD MILLION)
                       TABLE 188 ASIA PACIFIC: MARKET, BY TYPE, 2019–2023 (USD MILLION)
                       TABLE 189 ASIA PACIFIC: MARKET, BY TYPE, 2024–2030 (USD MILLION)
                       TABLE 190 ASIA PACIFIC: MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)
                       TABLE 191 ASIA PACIFIC: MARKET, BY BUSINESS FUNCTION, 2024–2030 (USD MILLION)
                       TABLE 192 ASIA PACIFIC: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
                       TABLE 193 ASIA PACIFIC: MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
                       TABLE 194 ASIA PACIFIC: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
                       TABLE 195 ASIA PACIFIC: MARKET, BY COUNTRY, 2024–2030 (USD MILLION)
             10.4.3 CHINA
                       10.4.3.1 Increasing integration of AI-driven predictive analytics and ML algorithms into decision-making frameworks to encourage market growth
                                   TABLE 196 CHINA: DECISION INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
                                   TABLE 197 CHINA: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
                                   TABLE 198 CHINA: DECISION INTELLIGENCE SOLUTIONS MARKET, BY INTEGRATION LEVEL, 2019–2023 (USD MILLION)
                                   TABLE 199 CHINA: DECISION INTELLIGENCE SOLUTIONS MARKET, BY INTEGRATION LEVEL, 2024–2030 (USD MILLION)
                                   TABLE 200 CHINA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
                                   TABLE 201 CHINA: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
                                   TABLE 202 CHINA: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
                                   TABLE 203 CHINA: MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)
                                   TABLE 204 CHINA: DECISION INTELLIGENCE SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
                                   TABLE 205 CHINA: DECISION INTELLIGENCE SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD MILLION)
             10.4.4 JAPAN
                       10.4.4.1 Rapid tech advancements and government initiatives to drive demand for decision intelligence solutions
             10.4.5 INDIA
                       10.4.5.1 Rapid digitization across various industries, proliferation of cloud computing infrastructure, and availability of affordable computing resources to boost market growth
             10.4.6 SOUTH KOREA
                       10.4.6.1 Need for ethical and responsible utilization of AI and data in decision-making paradigms to drive market
             10.4.7 AUSTRALIA & NEW ZEALAND
                       10.4.7.1 Emphasis on collaboration between government, industries, and academia to drive growth of MARKET
             10.4.8 REST OF ASIA PACIFIC
     10.5 MIDDLE EAST & AFRICA 
             10.5.1 MIDDLE EAST & AFRICA: MARKET DRIVERS
             10.5.2 MIDDLE EAST & AFRICA: RECESSION IMPACT
                       TABLE 206 MIDDLE EAST & AFRICA: DECISION INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
                       TABLE 207 MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
                       TABLE 208 MIDDLE EAST & AFRICA: DECISION INTELLIGENCE SOLUTIONS MARKET, BY INTEGRATION LEVEL, 2019–2023 (USD MILLION)
                       TABLE 209 MIDDLE EAST & AFRICA: DECISION INTELLIGENCE SOLUTIONS MARKET, BY INTEGRATION LEVEL, 2024–2030 (USD MILLION)
                       TABLE 210 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
                       TABLE 211 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
                       TABLE 212 MIDDLE EAST & AFRICA: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
                       TABLE 213 MIDDLE EAST & AFRICA: MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)
                       TABLE 214 MIDDLE EAST & AFRICA: DECISION INTELLIGENCE SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
                       TABLE 215 MIDDLE EAST & AFRICA: DECISION INTELLIGENCE SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD MILLION)
                       TABLE 216 MIDDLE EAST & AFRICA: MARKET, BY TYPE, 2019–2023 (USD MILLION)
                       TABLE 217 MIDDLE EAST & AFRICA: MARKET, BY TYPE, 2024–2030 (USD MILLION)
                       TABLE 218 MIDDLE EAST & AFRICA: MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)
                       TABLE 219 MIDDLE EAST & AFRICA: MARKET, BY BUSINESS FUNCTION, 2024–2030 (USD MILLION)
                       TABLE 220 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
                       TABLE 221 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
                       TABLE 222 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
                       TABLE 223 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2024–2030 (USD MILLION)
             10.5.3 UAE
                       10.5.3.1 Strategic incorporation of AI across sectors to drive market growth
             10.5.4 KSA
                       10.5.4.1 Adoption of decision intelligence solutions to strengthen country’s decision-making processes and drive economic growth
             10.5.5 QATAR
                       10.5.5.1 Need for optimizing inventory management to boost demand for decision intelligence solutions
             10.5.6 ISRAEL
                       10.5.6.1 Need to leverage advanced technologies for decision-making processes to fuel market growth
             10.5.7 SOUTH AFRICA
                       10.5.7.1 Steps taken by government to educate and create awareness regarding advanced technologies to drive market
             10.5.8 REST OF MIDDLE EAST & AFRICA
     10.6 LATIN AMERICA 
             10.6.1 LATIN AMERICA: MARKET DRIVERS
             10.6.2 LATIN AMERICA: RECESSION IMPACT
                       TABLE 224 LATIN AMERICA: DECISION INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
                       TABLE 225 LATIN AMERICA: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
                       TABLE 226 LATIN AMERICA: DECISION INTELLIGENCE SOLUTIONS MARKET, BY INTEGRATION LEVEL, 2019–2023 (USD MILLION)
                       TABLE 227 LATIN AMERICA DECISION INTELLIGENCE SOLUTIONS MARKET, BY INTEGRATION LEVEL, 2024–2030 (USD MILLION)
                       TABLE 228 LATIN AMERICA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
                       TABLE 229 LATIN AMERICA: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
                       TABLE 230 LATIN AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
                       TABLE 231 LATIN AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)
                       TABLE 232 LATIN AMERICA: DECISION INTELLIGENCE SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
                       TABLE 233 LATIN AMERICA: DECISION INTELLIGENCE SOLUTIONS MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD MILLION)
                       TABLE 234 LATIN AMERICA: MARKET, BY TYPE, 2019–2023 (USD MILLION)
                       TABLE 235 LATIN AMERICA: MARKET, BY TYPE, 2024–2030 (USD MILLION)
                       TABLE 236 LATIN AMERICA: MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)
                       TABLE 237 LATIN AMERICA: MARKET, BY BUSINESS FUNCTION, 2024–2030 (USD MILLION)
                       TABLE 238 LATIN AMERICA: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
                       TABLE 239 LATIN AMERICA: MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
                       TABLE 240 LATIN AMERICA: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
                       TABLE 241 LATIN AMERICA: DECISION INTELLIGENCE MARKET, BY COUNTRY, 2024–2030 (USD MILLION)
             10.6.3 BRAZIL
                       10.6.3.1 Growing digital transformation to fuel demand for AI solutions
             10.6.4 MEXICO
                       10.6.4.1 Increasing trade, rising customer base, and government initiatives to fuel growth of decision intelligence solutions
             10.6.5 ARGENTINA
                       10.6.5.1 Government initiatives in Argentina to foster market growth
             10.6.6 REST OF LATIN AMERICA
 
11 COMPETITIVE LANDSCAPE (Page No. - 232)
     11.1 OVERVIEW 
     11.2 KEY PLAYER STRATEGIES/RIGHT TO WIN 
               TABLE 242 OVERVIEW OF STRATEGIES ADOPTED BY KEY DECISION INTELLIGENCE VENDORS
     11.3 REVENUE ANALYSIS 
               FIGURE 47 TOP FIVE PLAYERS DOMINATING MARKET IN LAST FIVE YEARS
     11.4 MARKET SHARE ANALYSIS 
               FIGURE 48 MARKET SHARE ANALYSIS FOR KEY PLAYERS, 2023
             11.4.1 MARKET RANKING ANALYSIS
                       TABLE 243 MARKET: DEGREE OF COMPETITION
     11.5 BRAND/PRODUCT COMPARATIVE ANALYSIS 
               FIGURE 49 BRAND/PRODUCT COMPARATIVE ANALYSIS
     11.6 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023 
             11.6.1 STARS
             11.6.2 EMERGING LEADERS
             11.6.3 PERVASIVE PLAYERS
             11.6.4 PARTICIPANTS
                       FIGURE 50 DECISION INTELLIGENCE MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS), 2023
             11.6.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023
                       11.6.5.1 Overall company footprint
                                   FIGURE 51 COMPANY FOOTPRINT (15 COMPANIES)
                       11.6.5.2 Offering footprint
                                   TABLE 244 OFFERING FOOTPRINT (15 COMPANIES)
                       11.6.5.3 Regional footprint
                                   TABLE 245 REGIONAL FOOTPRINT (15 COMPANIES)
                       11.6.5.4 Vertical footprint
                                   TABLE 246 VERTICAL FOOTPRINT (15 COMPANIES)
                       11.6.5.5 Business function footprint
                                   TABLE 247 BUSINESS FUNCTION FOOTPRINT (18 COMPANIES)
     11.7 COMPANY EVALUATION MATRIX: START-UPS/SMES, 2023 
             11.7.1 PROGRESSIVE COMPANIES
             11.7.2 RESPONSIVE COMPANIES
             11.7.3 DYNAMIC COMPANIES
             11.7.4 STARTING BLOCKS
                       FIGURE 52 MARKET: COMPANY EVALUATION MATRIX (START-UPS/SMES), 2023
             11.7.5 COMPETITIVE BENCHMARKING: START-UPS/SMES, 2023
                       TABLE 248 MARKET: DETAILED LIST OF KEY START-UPS/SMES
                       TABLE 249 MARKET: COMPETITIVE BENCHMARKING OF KEY START-UPS/SMES
     11.8 COMPETITIVE SCENARIO AND TRENDS 
             11.8.1 PRODUCT LAUNCHES
                       TABLE 250 MARKET: PRODUCT LAUNCHES & ENHANCEMENTS, MAY 2022–FEBRUARY 2024
             11.8.2 DEALS
                       TABLE 251 DECISION INTELLIGENCE MARKET: DEALS, AUGUST 2021–NOVEMBER 2023
     11.9 COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS 
               FIGURE 53 COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS
               FIGURE 54 YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND 5-YEAR STOCK BETA OF KEY VENDORS
 
12 COMPANY PROFILES (Page No. - 251)
     12.1 KEY PLAYERS 
(Business Overview, Products/Solutions/Services offered, Recent Developments, MnM View)*
             12.1.1 IBM
                       TABLE 252 IBM: BUSINESS OVERVIEW
                       FIGURE 55 IBM: COMPANY SNAPSHOT
                       TABLE 253 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 254 IBM: PRODUCT LAUNCHES & ENHANCEMENTS
                       TABLE 255 IBM: DEALS
             12.1.2 ORACLE
                       TABLE 256 ORACLE: BUSINESS OVERVIEW
                       FIGURE 56 ORACLE: COMPANY SNAPSHOT
                       TABLE 257 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 258 ORACLE: PRODUCT LAUNCHES & ENHANCEMENTS
                       TABLE 259 ORACLE: DEALS
             12.1.3 GOOGLE
                       TABLE 260 GOOGLE: BUSINESS OVERVIEW
                       FIGURE 57 GOOGLE: COMPANY SNAPSHOT
                       TABLE 261 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 262 GOOGLE: PRODUCT LAUNCHES & ENHANCEMENTS
                       TABLE 263 GOOGLE: DEALS
             12.1.4 INTEL
                       TABLE 264 INTEL: BUSINESS OVERVIEW
                       FIGURE 58 INTEL: COMPANY SNAPSHOT
                       TABLE 265 INTEL: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 266 INTEL: PRODUCT LAUNCHES & ENHANCEMENTS
                       TABLE 267 INTEL: DEALS
             12.1.5 MICROSOFT
                       TABLE 268 MICROSOFT: BUSINESS OVERVIEW
                       FIGURE 59 MICROSOFT: COMPANY SNAPSHOT
                       TABLE 269 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 270 MICROSOFT: PRODUCT LAUNCHES & ENHANCEMENTS
                       TABLE 271 MICROSOFT: DEALS
             12.1.6 TCS
                       TABLE 272 TCS: BUSINESS OVERVIEW
                       FIGURE 60 TCS: COMPANY SNAPSHOT
                       TABLE 273 TCS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 274 TCS: PRODUCT LAUNCHES & ENHANCEMENTS
             12.1.7 DOMO
                       TABLE 275 DOMO: BUSINESS OVERVIEW
                       FIGURE 61 DOMO: COMPANY SNAPSHOT
                       TABLE 276 DOMO: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 277 DOMO: PRODUCT LAUNCHES & ENHANCEMENTS
             12.1.8 BOARD INTERNATIONAL
                       TABLE 278 BOARD INTERNATIONAL: BUSINESS OVERVIEW
                       TABLE 279 BOARD INTERNATIONAL: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 280 BOARD INTERNATIONAL: PRODUCT LAUNCHES & ENHANCEMENTS
                       TABLE 281 BOARD INTERNATIONAL: DEALS
             12.1.9 H2O.AI
                       TABLE 282 H2O.AI: BUSINESS OVERVIEW
                       TABLE 283 H2O.AI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 284 H2O.AI: PRODUCT LAUNCHES & ENHANCEMENTS
                       TABLE 285 H2O.AI: DEALS
             12.1.10 PROVENIR
                                   TABLE 286 PROVENIR: BUSINESS OVERVIEW
                                   TABLE 287 PROVENIR: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                                   TABLE 288 PROVENIR: PRODUCT LAUNCHES & ENHANCEMENTS
                                   TABLE 289 PROVENIR: DEALS
                                   TABLE 290 PROVENIR: OTHERS
             12.1.11 PYRAMID ANALYTICS
                                   TABLE 291 PYRAMID ANALYTICS: BUSINESS OVERVIEW
                                   TABLE 292 PYRAMID ANALYTICS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                                   TABLE 293 PYRAMID ANALYTICS: PRODUCT LAUNCHES & ENHANCEMENTS
                                   TABLE 294 PYRAMID ANALYTICS: DEALS
             12.1.12 4CAST
                                   TABLE 295 4CAST: BUSINESS OVERVIEW
                                   TABLE 296 4CAST: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                                   TABLE 297 4CAST: DEALS
             12.1.13 SYSTEMS TECHNOLOGY GROUP (STG)
             12.1.14 COURSE5I
             12.1.15 EY
             12.1.16 QUANTEXA
*Details on Business Overview, Products/Solutions/Services offered, Recent Developments, MnM View might not be captured in case of unlisted companies.
     12.2 START-UPS/SMES 
             12.2.1 QUANTELLIA
             12.2.2 PLANNINGFORCE
             12.2.3 PEAK.AI
             12.2.4 DIWO
             12.2.5 REMI AI
             12.2.6 CEREBRA
             12.2.7 CLARIFAI
             12.2.8 FLYR
             12.2.9 METAPHACTS
             12.2.10 PARETOS
             12.2.11 TELLIUS
             12.2.12 EVOLUTION ANALYTICS
             12.2.13 HYPERFINITY
             12.2.14 AERA TECHNOLOGY
             12.2.15 URBINT
 
13 ADJACENT AND RELATED MARKETS (Page No. - 307)
     13.1 INTRODUCTION 
     13.2 ARTIFICIAL INTELLIGENCE MARKET—GLOBAL FORECAST TO 2030 
             13.2.1 MARKET DEFINITION
             13.2.2 MARKET OVERVIEW
                       TABLE 298 ARTIFICIAL INTELLIGENCE MARKET SIZE AND GROWTH RATE, 2017–2022 (USD MILLION, Y-O-Y GROWTH)
                       TABLE 299 ARTIFICIAL INTELLIGENCE MARKET SIZE AND GROWTH RATE, 2023–2030 (USD BILLION, Y-O-Y GROWTH)
             13.2.3 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING
                       TABLE 300 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                       TABLE 301 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2023–2030 (USD MILLION)
                       TABLE 302 ARTIFICIAL INTELLIGENCE MARKET, BY HARDWARE, 2017–2022 (USD MILLION)
                       TABLE 303 ARTIFICIAL INTELLIGENCE MARKET, BY HARDWARE, 2023–2030 (USD MILLION)
                       TABLE 304 ARTIFICIAL INTELLIGENCE MARKET, BY PROCESSOR, 2017–2022 (USD MILLION)
                       TABLE 305 ARTIFICIAL INTELLIGENCE MARKET, BY PROCESSOR, 2023–2030 (USD MILLION)
                       TABLE 306 SOFTWARE: ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2017–2022 (USD MILLION)
                       TABLE 307 SOFTWARE: ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2023–2030 (USD MILLION)
                       TABLE 308 SOFTWARE: ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT, 2017–2022 (USD MILLION)
                       TABLE 309 SOFTWARE: ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT, 2023–2030 (USD MILLION)
                       TABLE 310 ARTIFICIAL INTELLIGENCE MARKET, BY SERVICE, 2017–2022 (USD MILLION)
                       TABLE 311 ARTIFICIAL INTELLIGENCE MARKET, BY SERVICE, 2023–2030 (USD MILLION)
                       TABLE 312 ARTIFICIAL INTELLIGENCE MARKET, BY PROFESSIONAL SERVICE, 2017–2022 (USD MILLION)
                       TABLE 313 ARTIFICIAL INTELLIGENCE MARKET, BY PROFESSIONAL SERVICE, 2023–2030 (USD MILLION)
             13.2.4 ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE
                       TABLE 314 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
                       TABLE 315 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2023–2030 (USD MILLION)
                       TABLE 316 ARTIFICIAL INTELLIGENCE MARKET, BY MACHINE LEARNING, 2017–2022 (USD MILLION)
                       TABLE 317 ARTIFICIAL INTELLIGENCE MARKET, BY MACHINE LEARNING, 2023–2030 (USD MILLION)
             13.2.5 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION
                       TABLE 318 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2017–2022 (USD MILLION)
                       TABLE 319 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2023–2030 (USD MILLION)
             13.2.6 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL
                       TABLE 320 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                       TABLE 321 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2023–2030 (USD MILLION)
             13.2.7 ARTIFICIAL INTELLIGENCE MARKET, BY REGION
                       TABLE 322 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2017–2022 (USD MILLION)
                       TABLE 323 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2023–2030 (USD MILLION)
     13.3 AI GOVERNANCE MARKET - GLOBAL FORECAST TO 2026 
             13.3.1 MARKET DEFINITION
             13.3.2 MARKET OVERVIEW
             13.3.3 BUSINESS INTELLIGENCE MARKET, BY COMPONENT
                       TABLE 324 BUSINESS INTELLIGENCE MARKET, BY COMPONENT, 2016–2019 (USD MILLION)
                       TABLE 325 BUSINESS INTELLIGENCE MARKET, BY COMPONENT, 2019–2025 (USD MILLION)
             13.3.4 BUSINESS INTELLIGENCE MARKET, BY SOLUTION
                       TABLE 326 BUSINESS INTELLIGENCE MARKET, BY SOLUTION, 2016–2019 (USD MILLION)
                       TABLE 327 BUSINESS INTELLIGENCE MARKET, BY SOLUTION, 2019–2025 (USD MILLION)
             13.3.5 BUSINESS INTELLIGENCE MARKET, BY SERVICE
                       TABLE 328 BUSINESS INTELLIGENCE MARKET, BY SERVICE, 2016–2019 (USD MILLION)
                       TABLE 329 BUSINESS INTELLIGENCE MARKET, BY SERVICE, 2019–2025 (USD MILLION)
             13.3.6 BUSINESS INTELLIGENCE MARKET, BY DEPLOYMENT MODE
                       TABLE 330 BUSINESS INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2016–2019 (USD MILLION)
                       TABLE 331 BUSINESS INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2019–2025 (USD MILLION)
             13.3.7 BUSINESS INTELLIGENCE MARKET, BY ORGANIZATION SIZE
                       TABLE 332 BUSINESS INTELLIGENCE MARKET, BY ORGANIZATION SIZE, 2016–2019 (USD MILLION)
                       TABLE 333 BUSINESS INTELLIGENCE MARKET, BY ORGANIZATION SIZE, 2019–2025 (USD MILLION)
             13.3.8 BUSINESS INTELLIGENCE MARKET, BY BUSINESS FUNCTION
                       TABLE 334 BUSINESS INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2016–2019 (USD MILLION)
                       TABLE 335 BUSINESS INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2019–2025 (USD MILLION)
             13.3.9 BUSINESS INTELLIGENCE MARKET, BY INDUSTRY VERTICAL
                       TABLE 336 BUSINESS INTELLIGENCE MARKET, BY INDUSTRY VERTICAL, 2016–2019 (USD MILLION)
                       TABLE 337 BUSINESS INTELLIGENCE MARKET, BY INDUSTRY VERTICAL, 2019–2025 (USD MILLION)
             13.3.10 BUSINESS INTELLIGENCE MARKET, BY REGION
                                   TABLE 338 BUSINESS INTELLIGENCE MARKET, BY REGION, 2016–2019 (USD MILLION)
                                   TABLE 339 BUSINESS INTELLIGENCE MARKET, BY REGION, 2019–2025 (USD MILLION)
 
14 APPENDIX (Page No. - 326)
     14.1 DISCUSSION GUIDE 
     14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 
     14.3 CUSTOMIZATION OPTIONS 
     14.4 RELATED REPORTS 
     14.5 AUTHOR DETAILS 

The research study for the decision intelligence market involved extensive secondary sources, directories, and several journals. Primary sources were mainly industry experts from the core and related industries, preferred decision intelligence solution providers, third-party service providers, consulting service providers, end users, and other commercial enterprises. In-depth interviews were conducted with various primary respondents, including key industry participants and subject matter experts, to obtain and verify critical qualitative and quantitative information, and assess the market’s prospects.

Secondary Research

The market size of companies offering decision intelligence platforms, solutions and services was arrived at based on secondary data available through paid and unpaid sources. It was also arrived at by analyzing the product portfolios of major companies and rating the companies based on their performance and quality.

In the secondary research process, various sources were referred to for identifying and collecting information for this study. Secondary sources included annual reports, press releases, and investor presentations of companies; white papers, journals, and certified publications; and articles from recognized authors, directories, and databases. The data was also collected from other secondary sources, such as journals, government websites, blogs, and vendor websites. Additionally, decision intelligence spending of various countries was extracted from the respective sources. Secondary research was mainly used to obtain key information related to the industry’s value chain and supply chain to identify key players based on platforms, solutions, services, market classification, and segmentation according to offerings of major players, industry trends related to solutions, platforms, services, types, business functions, verticals, and regions, and key developments from both market- and technology-oriented perspectives.

Primary Research

In the primary research process, various primary sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various industry experts, including Chief Experience Officers (CXOs); Vice Presidents (VPs); directors from business development, marketing, and decision intelligence expertise; related key executives from decision intelligence solution vendors, SIs, professional service providers, and industry associations; and key opinion leaders.

Primary interviews were conducted to gather insights, such as market statistics, revenue data collected from solutions and services, market breakups, market size estimations, market forecasts, and data triangulation. Primary research also helped understand various trends related to technologies, applications, deployments, and regions. Stakeholders from the demand side, such as Chief Information Officers (CIOs), Chief Technology Officers (CTOs), Chief Strategy Officers (CSOs), and end users using decision intelligence, were interviewed to understand the buyer’s perspective on suppliers, products, service providers, and their current usage of decision intelligence platforms, solution and services which would impact the overall decision intelligence market.

The following is the breakup of primary profiles:

Decision Intelligence  Market Size, and Share

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

Multiple approaches were adopted for estimating and forecasting the decision intelligence market. The first approach involves estimating the market size by summation of companies’ revenue generated through the sale of platforms, solutions, and services.

Market Size Estimation Methodology-Top-down approach

In the top-down approach, an exhaustive list of all the vendors offering solutions and services in the decision intelligence market was prepared. The revenue contribution of the market vendors was estimated through annual reports, press releases, funding, investor presentations, paid databases, and primary interviews. Each vendor’s offerings were evaluated based on the breadth of offerings, types, business functions, verticals, and regions. The aggregate of all the companies’ revenue was extrapolated to reach the overall market size. Each subsegment was studied and analyzed for its global market size and regional penetration. The markets were triangulated through both primary and secondary research. The primary procedure included extensive interviews for key insights from industry leaders, such as CIOs, CEOs, VPs, directors, and marketing executives. The market numbers were further triangulated with the existing MarketsandMarkets repository for validation.

Market Size Estimation Methodology-Bottom-up approach

In the bottom-up approach, the adoption rate of decision intelligence offerings among different end users in key countries with respect to their regions contributing the most to the market share was identified. For cross-validation, the adoption of decision intelligence solutions and services among industries, along with different use cases with respect to their regions, was identified and extrapolated. Weightage was given to use cases identified in the different areas for the market size calculation.

Based on the market numbers, the regional split was determined by primary and secondary sources. The procedure included the analysis of the decision intelligence market’s regional penetration. Based on secondary research, the regional spending on Information and Communications Technology (ICT), socio-economic analysis of each country, strategic vendor analysis of major decision intelligence solution providers, and organic and inorganic business development activities of regional and global players were estimated. With the data triangulation procedure and data validation through primaries, the exact values of the overall decision intelligence market size and segments’ size were determined and confirmed using the study.

Top-down and Bottom-up approaches

Decision Intelligence  Market Top Down - Bottom Up Approach

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Data Triangulation

After arriving at the overall market size using the market size estimation processes as explained above, the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation and market breakup procedures were employed, wherever applicable. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.

Market Definition

According to Peak.AI, decision intelligence is the commercial application of AI to the decision-making process of every area in a business. It is outcome-focused and delivers on commercial objectives. Organizations use decision intelligence to optimize every single department and improve business performance.

Stakeholders

  • Decision Intelligence Platform Providers
  • Independent Software Vendors (ISVs)
  • Investors and Venture Capitalists (VCs)
  • Managed Service Providers
  • Support and Maintenance Service Providers
  • System Integrators (SIs)/Migration Service Providers
  • Value-added Resellers (VARs) and Distributors

Report Objectives

  • To define, describe, and predict the decision intelligence market by offering, type, business functions, vertical, and region
  • To provide detailed information about the major factors (drivers, restraints, opportunities, and challenges) influencing the market growth
  • To analyze the opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders
  • To forecast the market size of segments with respect to five main regions: North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
  • To profile the key players and comprehensively analyze their market rankings and core competencies
  • To analyze the competitive developments, such as partnerships, product launches, and mergers & acquisitions, in the decision intelligence market

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:

Product Analysis

  • The product matrix provides a detailed comparison of the product portfolio of each company.

Geographic Analysis as per Feasibility

  • Further breakup of the North American decision intelligence Market
  • Further breakup of the European Market
  • Further breakup of the Asia Pacific Market
  • Further breakup of the Middle East & Africa Market
  • Further breakup of the Latin American decision intelligence Market

Company Information

  • Detailed analysis and profiling of additional market players (up to five)
Custom Market Research Services

We will customize the research for you, in case the report listed above does not meet with your exact requirements. Our custom research will comprehensively cover the business information you require to help you arrive at strategic and profitable business decisions.

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