Composite AI Market

Report Code TC 8662
Published in May, 2023, By MarketsandMarkets™
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Composite AI Market by Offering (Software, Hardware, Services), Technique (Data Processing, Pattern Recognition), Application (Product Design & Development, Customer Service), Vertical and Region - Global Forecast to 2028

Overview

The Composite AI Market size was reasonably estimated at $0.9 billion in 2023. Throughout the projection period, the Composite AI Industry is anticipated to increase at a CAGR of 36.5% in between 2023-2028 to reach around $4.4 billion in 2028. Integration with edge computing and IoT for real-time decision-making and rising demand for explainable AI and trustworthiness across major sectors offer opportunities to the end users to leverage composite AI solutions. Moreover, the growing intricacy of AI applications for better performance and increasing demand for more customized and flexible solutions to improve efficiency and productivity boost the market growth in coming years. 

Composite AI Market Technology Roadmap till 2030

The composite AI market report covers the composite AI technology roadmap till 2030, with insights around the initiation, development, and commercialization of technologies across AI-driven autonomous systems, AI ethics, and responsible AI.  Some of the key findings from the technology roadmap include:

Composite AI Market Short-term Technology Roadmap (2023-2025)

  • Advancements in explainable AI to foster trust in Composite AI solutions
  • Commercialization of Composite AI enhancing human intelligence in a wide range of applications

Composite AI Market Mid-term Technology Roadmap (2026-2028)

  • Development of AI ethics and responsible AI to shape the development, deployment, and adoption of composite AI solutions in the market
  • Integration of personalized AI assistants with Composite AI solutions to provide tailored and intelligent experiences to users

Composite AI Market Long-term Technology Roadmap (2029-2030)

  • Advanced neural networks and models for developing intelligent and effective composite AI applications across a wide range of industries and use cases
  • The emergence of next-generation composite AI platforms
5G IoT Market

Attractive Opportunities in the Composite AI Market

Asia Pacific

Emerging economies in the Asia Pacific region provide numerous opportunities across key industry verticals..

North America is expected to hold the largest market share during the forecast period. The region is a leader in technological advancements and is home to major composite AI vendors.

Partnerships, collaborations, and new product launches would offer lucrative opportunities for market players in the next five years.

Integration with edge computing and IoT for real-time decision-making and rising demand for explainable AI and trustworthiness across major sectors to provide opportunities for the growth of the composite AI market.

Growing intricacy of AI applications for better performance and increasing demand for more customized and flexible solutions to improve efficiency and productivity drive growth in the composite AI market.

Global Composite AI Market Dynamics

Driver: Growing intricacy of AI applications for better performance and accuracy

AI applications are becoming more complex, requiring the integration of multiple AI technologies and models to solve intricate problems. Currently, organizations are facing the reality that training a massive neural network using ML does not always scale to solve problems of increased complexity. The pure ML approach works for many classification and recognition tasks but is not always sufficient for solving deeper understanding problems. ML also generates an unending need for training data and computation power. Composite AI solutions provide a way to leverage the strengths of different AI algorithms and components, enabling organizations to tackle complex challenges and achieve better performance. Furthermore, composite AI solutions can leverage the strengths of various AI models and algorithms, resulting in improved performance and accuracy compared to standalone AI approaches. Organizations can achieve more robust and precise results by combining different techniques, leading to enhanced decision-making and problem-solving capabilities.

Restraint: Concerns related to data privacy and security

Some organizations may hesitate to adopt composite AI solutions due to lacking trust in AI technology or a limited understanding of its capabilities and limitations. Concerns about data privacy, security, and potential biases in AI models can also create obstacles to implementation. The main privacy concerns around AI comprises of data breaches and unauthorized access to personal information. The collected data is collected and then processed to gain key insights which lead to the rise in highrisk as it may fall into the wrong hands and can cause that data to get breached easily. . With the advancements in AI technology pave the way for moreincrease in the data breaches and security issues. For instance, generative AI technology can be exploited to create fake profiles or misused to generate unauthorized images. As per the latest stats, cybercrimes affect the security of 80% of businesses worldwide, and personal data falling into the wrong hands can have severe consequences.

 

Opportunity: Integration with edge computing and IoT for real-time decision-making

The proliferation of Internet of Things (IoT) devices and the need for real-time decision-making are driving the adoption of edge computing. Composite AI solutions integrated with edge devices can process and analyze data locally, reducing latency and enabling faster insights and responses. This integration presents opportunities for deploying composite AI solutions in edge computing environments. Edge computing is the key support for intelligent applications and 5G/6G Internet of Things (IoT) networks. It offers various advantages such as low latency, fast response, context-aware services, mobility, and privacy preservation. This technology extends the cloud by providing intermediate services at the edge of the network and improving the quality of service for latency-sensitive applications. The adoption of new emerging technologies such as IoT, wireless sensor networks (WSNs), cloud/edge computing, and 5G/6G communication networks in various fields such as healthcare, agriculture, education, and transportation can bring many opportunities in improving people’s quality of life, thus building intelligent systems that deliver high-quality, innovative services to the consumers. In the IoT environment, many interconnected devices, such as sensors, mobiles, and memory units, lead to voluminous, heterogeneous, highly noisy, spatiotemporal-correlated, and real-time data streams that need intelligent learning for efficient data analysis and meaningful insight extraction.

Challenge: Data availability and quality

Composite AI solutions heavily rely on large and diverse datasets to train and optimize models. However, organizations may face challenges acquiring high-quality, labeled, and relevant data, especially for specific use cases or industries. Data privacy concerns and regulatory restrictions further complicate data access and sharing. The availability of high-quality data is considered critical, as it is used to train AI algorithms. When developing AI applications that can deliver value, the quality of the data fed into such algorithms is of great importance. Moreover, biased data during labeling and training can potentially result in biased AI applications, posing significant challenges to practitioners in leveraging their data assets into AI applications.

Global Composite AI Market Ecosystem

Top Companies in 5G IoT Market
 

By offering, hardware to register at the highest CAGR during the forecast period

Composite AI hardware comprises hardware components and infrastructure that support the implementation and execution of composite AI solutions. It involves utilizing specialized hardware devices, processors, accelerators, and infrastructure configurations designed to handle composite AI workloads' computational requirements and complexities. Composite AI hardware plays a crucial role in enabling the efficient processing and execution of various AI models, algorithms, and techniques that are integrated within a composite AI solution. These hardware components are optimized to handle the computational demands of tasks such as machine learning, deep learning, natural language processing, computer vision, and more.

By application, product design & development to account for the largest market size during the forecast period

Product design and development business applications plays a crucial role in implementing composite AI solutions in the market. Product design & development applications provide tools and functionalities to generate innovative ideas and concepts. These applications enable businesses to explore new product possibilities and identify areas where composite AI can add value. Using composite AI in product design & development offers significant benefits for companies looking to enhance their product development capabilities, reduce costs, and bring innovative products to market more efficiently.

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

North America is a leading region in adopting and growing composite AI solutions. The presence of advanced AI technology companies, robust R&D capabilities, and a mature market ecosystem contribute to the rapid growth of composite AI solutions in this region. Major industries such as healthcare, BFSI, retail, and manufacturing embrace composite AI to drive innovation, enhance customer experiences, and improve operational efficiency. These factors are also responsible for adopting composite AI solutions across the region. Moreover, various industry verticals, such as telecom, healthcare, media and entertainment, retail and eCommerce, and BFSI, are leveraging composite AI solutions to enhance productivity and better performance.

Recent Developments of Composite AI Market

  • In April 2023, Amazon SageMaker announced Collections, a new capability to organize machine learning models in the Amazon SageMaker Model Registry. Collections may gather relevant registered models and organize them hierarchically to improve model discoverability at scale.
  • In July 2022, AWS partnered with Hugging Face to make it easier for companies to leverage state-of-the-art machine learning models, and ship cutting-edge NLP features faster. Through this partnership, Hugging Face is leveraging Amazon Web Services as its preferred cloud provider to deliver customer services.
  • In May 2022, BlackSwan Technologies and Refinitiv entered a strategic agreement. The agreement enables next-generation customer risk assessment through an advanced compliance solution incorporating comprehensive financial crime data and ground-breaking AI technologies for KYC, transaction monitoring, and screening.
  • In March 2022, Microsoft announced the acquisition of Nuance. This acquisition will offer customers improved consumer, patient, clinician, and employee experiences and better productivity and financial results.
  • In September 2021, SAS announced an expansion for its SAS Viya platform, which analyzes data and builds AI models.

Key Market Players

KEY PLAYERS IN THE Composite AI Market INCLUDE

  • IBM (US)
  • SAS Institute (US)
  • Microsoft (US)
  • Google (US)
  • AWS (US)
  • Salesforce (US)
  • BlackSwan Technologies (Israel)
  • Oracle (US)
  • OpenText (Canada)
  • SAP (Germany)
  • HPE (US)
  • Pegas (US)
  • NVIDIA (US)
  • Intel (US)
  • UiPath (US)
  • Zest AI (US)
  • Dynamic Yield(US)
  • DataRobot(US)
  • H2O.ai(US)
  • Squirro (Switzerland)
  • CognitiveScale (US)
  • SparkCognition (US)
  • Diwo(US)
  • ACTICO (Germany)
  • Kyndi (US), Nauto (US)
  • Netra (US)
  • Exponential AI (US)

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Scope of the Report

Report Attribute Details
Market size available for years 2019–2028
Base year considered 2022
Forecast period 2023–2028
Forecast units USD Million/Billion
Segments Covered By offering, method, application, vertical, and region
Geographies covered North America, Europe, Asia Pacific, Middle East and Africa, Latin America

 

Key Questions Addressed by the Report

What is Composite AI?
According to RapidMiner, Composite AI refers to the combination of various AI technologies. Traditional AI is a broad sector of machine intelligence with a wide range of applications, including automation, predictive analytics, machine learning, natural language processing (NLP), etc.
Which countries are considered in the European region?
The countries such as the UK, Germany, France, Spain, and Italy are the major economies in the region that leverage composite AI solutions.
Which vertical is expected to witness a higher market share in the composite AI market?
BFSI is the leading sector that leverages composite AI solutions to enhance risk management capabilities, identify and mitigate potential risks, detect fraudulent activities, and improve compliance with regulatory requirements.
Which are key verticals adopting Composite AI solutions and services?
Some key verticals like retail and eCommerce, healthcare & life sciences, BFSI, and Telecom are leveraging Composite AI solutions to provide personalized customer experiences.
Who are the key vendors in the Composite AI market?
IBM (US), Microsoft (US), SAS Institute (US), BlackSwan Technologies (Israel), Google (US), and AWS (US) are the key vendors that offer composite AI solutions for improved operational efficiency, enhanced customer experiences, better decision-making, and the optimization of various processes across different sectors.

 

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Table of Contents

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TITLE
PAGE NO
INTRODUCTION
29
RESEARCH METHODOLOGY
33
EXECUTIVE SUMMARY
46
PREMIUM INSIGHTS
52
MARKET OVERVIEW AND INDUSTRY TRENDS
55
  • 5.1 INTRODUCTION
  • 5.2 BRIEF HISTORY OF COMPOSITE AI
  • 5.3 COMPOSITE AI: ARCHITECTURE
  • 5.4 MARKET DYNAMICS
    DRIVERS
    - Growing intricacy of AI applications for better performance and accuracy
    - Increasing demand for more customized and flexible solutions to improve efficiency and productivity
    - Advancements in hardware components and infrastructure for better scalability
    - Rising usage of composite AI for industry-specific applications
    RESTRAINTS
    - Concerns related to data privacy and security
    - Shortage of skilled and talented workforce
    OPPORTUNITIES
    - Integration with edge computing and IoT for real-time decision-making
    - Rising demand for explainable AI and trustworthiness across healthcare and BFSI sectors
    CHALLENGES
    - Data availability and quality
    - High infrastructure costs with lower ROI
  • 5.5 CASE STUDY ANALYSIS
    CASE STUDY 1: CREATION OF HOLISTIC VIEW OF CLIENTS AND ACTIVITIES OF TIER-1 BANK USING DATA FABRIC CONCEPT
    CASE STUDY 2: INTUIT USED AMAZON SAGEMAKER TO MANAGE MACHINE LEARNING AT SCALE
    CASE STUDY 3: SAS ANALYTICS SOLUTIONS HELPED USG CORPORATION TO IMPROVE ITS MANUFACTURING PROCESS
    CASE STUDY 4: ORLANDO MAGIC USED MOBILE APP DATA AND MACHINE LEARNING TO PERSONALIZE MARKETING CAMPAIGNS
    CASE STUDY 5: AMSTERDAM UMC USED ANALYTICS AND AI TO INCREASE SPEED AND ACCURACY OF TUMOR EVALUATIONS
    CASE STUDY 6: IN SPECIAL OLYMPICS, ABU DHABI USED SAS ANALYTICS AND AI SOLUTIONS TO KEEP ATHLETES SAFE
    CASE STUDY 7: HPE HELPED NEW WORK TO ADDRESS COMPLEX DATA PRIVACY REQUIREMENTS AND IMPROVE OPERATIONAL EFFICIENCY
  • 5.6 SUPPLY CHAIN ANALYSIS
  • 5.7 PATENT ANALYSIS
    METHODOLOGY
    DOCUMENT TYPE
    INNOVATION AND PATENT APPLICATIONS
    - Top applicants
  • 5.8 PRICING ANALYSIS
  • 5.9 PORTER’S FIVE FORCES ANALYSIS
    THREAT OF NEW ENTRANTS
    THREAT OF SUBSTITUTES
    BARGAINING POWER OF SUPPLIERS
    BARGAINING POWER OF BUYERS
    INTENSITY OF COMPETITIVE RIVALRY
  • 5.10 KEY CONFERENCES & EVENTS, 2023–2024
  • 5.11 TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS IN COMPOSITE AI MARKET
  • 5.12 REGULATORY LANDSCAPE
    REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • 5.13 KEY STAKEHOLDERS AND BUYING CRITERIA
    KEY STAKEHOLDERS IN BUYING PROCESS
    BUYING CRITERIA
  • 5.14 TECHNOLOGY ROADMAP OF COMPOSITE AI MARKET UNTIL 2030
  • 5.15 TECHNOLOGY ANALYSIS
    KEY TECHNOLOGIES
    - Supervised learning
    - Unsupervised learning
    - Natural language processing
    - Deep learning
    - AI governance (ethical, explainable, and responsible AI)
    - Knowledge graphs
    ADJACENT TECHNOLOGIES
    - Cloud computing
    - Computer vision
    - Federated learning
    - Digital twin
  • 5.16 ECOSYSTEM ANALYSIS
    COMPOSITE AI FRAMEWORK/LIBRARY PROVIDERS
    COMPOSITE AI PLATFORM PROVIDERS
    COMPOSITE AI SOFTWARE TOOL PROVIDERS
    COMPOSITE AI HARDWARE PROVIDERS
    COMPOSITE AI SERVICE PROVIDERS
    REGULATORY BODIES
  • 5.17 CURRENT AND EMERGING BUSINESS MODEL
    SUBSCRIPTION MODEL
    LICENSING MODEL
    CUSTOM DEVELOPMENT & INTEGRATION
    DATA MONETIZATION
    API & PLATFORM AS A SERVICE MODEL
    PROFESSIONAL TRAINING & CERTIFICATION
    TRANSACTIONAL MODEL
    PARTNERSHIP & COLLABORATION
COMPOSITE AI MARKET, BY OFFERING
90
  • 6.1 INTRODUCTION
    OFFERING: COMPOSITE AI MARKET DRIVERS
  • 6.2 HARDWARE
    PROCESSORS
    - Cost-effectiveness, flexibility, and scalability of composite AI systems to drive demand for processors
    MEMORY UNITS
    - Memory units to enable cloud-based services and provide high-capacity storage and quick data access
    NETWORKS
    - Networks to ensure efficient communication and collaboration between different AI components
    OTHER HARDWARE
  • 6.3 SOFTWARE
    MACHINE LEARNING FRAMEWORKS
    - Machine learning frameworks to provide cost-effective, flexible, and scalable composite AI systems
    AI DEVELOPMENT PLATFORMS AND TOOLS
    - AI development platforms and tools to empower organizations to leverage capabilities of various AI technologies
    AI MIDDLEWARE
    - Increasing need to facilitate integration of AI components, tools, and frameworks to drive market growth
    OTHER SOFTWARE
  • 6.4 SERVICES
    TRAINING AND CONSULTING
    - Training and consulting services to play vital role in managing operations and technology updates
    SYSTEM INTEGRATION AND IMPLEMENTATION
    - System integration and implementation services to gain traction to ensure effective system communication
    SUPPORT AND MAINTENANCE
    - Demand for support and maintenance services to increase with rising composite AI deployment
COMPOSITE AI MARKET, BY TECHNIQUE
109
  • 7.1 INTRODUCTION
    TECHNIQUE: COMPOSITE AI MARKET DRIVERS
  • 7.2 CONDITIONED MONITORING
    CONDITIONED MONITORING TO HELP COMPANIES REDUCE COSTS ASSOCIATED WITH MAINTENANCE
  • 7.3 PATTERN RECOGNITION
    PATTERN RECOGNITION TO ALLOW COMPANIES TO QUICKLY AND ACCURATELY ANALYZE LARGE AMOUNTS OF DATA
  • 7.4 DATA PROCESSING
    DATA PROCESSING USED TO ANALYZE CUSTOMER DATA AND IDENTIFY PATTERNS IN BEHAVIOR AND PREFERENCES
  • 7.5 PROACTIVE MECHANISM
    PROACTIVE MECHANISM TO ENCOURAGE ADOPTION OF ADVANCED TECHNOLOGY FOR PREDICTING AND PREVENTING PROBLEMS
  • 7.6 DATA MINING & MACHINE LEARNING
    DATA MINING & MACHINE LEARNING TO ENABLE MACHINES TO ANALYZE DATA AND MAKE DECISIONS
  • 7.7 OTHER TECHNIQUES
COMPOSITE AI MARKET, BY APPLICATION
118
  • 8.1 INTRODUCTION
    APPLICATION: COMPOSITE AI MARKET DRIVERS
  • 8.2 PRODUCT DESIGN & DEVELOPMENT
    STREAMLINING DESIGN & TESTING TO ENABLE COMPANIES TO LAUNCH PRODUCTS FASTER
  • 8.3 QUALITY CONTROL
    QUALITY CONTROL TO MINIMIZE RISKS ASSOCIATED WITH USE OF AI
  • 8.4 PREDICTIVE MAINTENANCE
    RISING NEED TO ENABLE PROACTIVE MAINTENANCE STRATEGIES AND DRIVE OPERATIONAL EFFICIENCY TO FUEL MARKET GROWTH
  • 8.5 SECURITY & SURVEILLANCE
    GROWING DEMAND FOR ADVANCED COMPOSITE AI SOLUTIONS FOR ENHANCED SECURITY & SURVEILLANCE TO BOOST MARKET GROWTH
  • 8.6 CUSTOMER SERVICE
    CUSTOMER SERVICE TO ENSURE CUSTOMER SATISFACTION, INCREASE OPERATIONAL EFFICIENCY, AND OPTIMIZE EXPERIENCE
  • 8.7 OTHER APPLICATIONS
COMPOSITE AI MARKET, BY VERTICAL
127
  • 9.1 INTRODUCTION
    VERTICAL: COMPOSITE AI MARKET DRIVERS
    MAJOR USE CASES, BY VERTICAL
  • 9.2 BFSI
    TEXT COMPOSITE AI TO HANDLE MULTIPLE CUSTOMER INTERACTIONS AND REDUCE WAIT TIMES IN BFSI SECTOR
  • 9.3 RETAIL AND ECOMMERCE
    GROWTH OF ECOMMERCE TO CREATE ENORMOUS AMOUNT OF DATA THAT CAN BE ANALYZED USING COMPOSITE AI
  • 9.4 MANUFACTURING
    COMPOSITE AI TO BE USED TO CREATE MORE ADVANCED AUTOMATION SYSTEMS IN MANUFACTURING VERTICAL
  • 9.5 ENERGY AND UTILITIES
    COMPOSITE AI TO HELP THIS VERTICAL OPTIMIZE ITS OPERATIONS AND REDUCE COSTS
  • 9.6 TRANSPORTATION AND LOGISTICS
    COMPOSITE AI TO HELP PREVENT ACCIDENTS, THEFT, AND OTHER SECURITY BREACHES
  • 9.7 HEALTHCARE AND LIFE SCIENCES
    COMPOSITE AI TO DRIVE NEED FOR MORE PRECISE AND TARGETED TREATMENTS
  • 9.8 MEDIA AND ENTERTAINMENT
    INCREASING DEMAND FOR PERSONALIZED CONTENT TO BOOST MARKET
  • 9.9 GOVERNMENT AND DEFENSE
    INCREASING DEMAND FOR ADVANCED SURVEILLANCE AND INTELLIGENCE GATHERING CAPABILITIES TO DRIVE DEMAND FOR COMPOSITE AI
  • 9.10 TELECOM
    COMPOSITE AI USED TO OPTIMIZE NETWORKS AND ENSURE EFFICIENT AND RELIABLE PERFORMANCE IN TELECOM VERTICAL
  • 9.11 OTHER VERTICALS
    COMPOSITE AI MARKET, BY REGION
COMPOSITE AI MARKET, BY REGION
142
  • 10.1 INTRODUCTION
  • 10.2 NORTH AMERICA
    NORTH AMERICA: COMPOSITE AI MARKET DRIVERS
    NORTH AMERICA: RECESSION IMPACT
    US
    - Proliferation of digital technologies generating vast amounts of data to fuel adoption of composite AI
    CANADA
    - Rising adoption of cutting-edge technologies to enhance customer services
  • 10.3 EUROPE
    EUROPE: COMPOSITE AI MARKET DRIVERS
    EUROPE: RECESSION IMPACT
    UK
    - Growing adoption of composite AI in eCommerce and rising number of startups to fuel market growth
    GERMANY
    - Growing adoption of cutting-edge digital technologies, coupled with government initiatives, to fuel adoption of composite AI
    FRANCE
    - Growing number of startups and active support by government to drive demand for composite AI
    ITALY
    - Availability of advanced algorithms, frameworks, and tools to enable integration of different AI components
    SPAIN
    - Rapid adoption of emerging technologies to enhance customer experience to drive market
    REST OF EUROPE
    - Initiatives taken by governments and rising application of composite AI across verticals to fuel market
  • 10.4 ASIA PACIFIC
    ASIA PACIFIC: COMPOSITE AI MARKET DRIVERS
    ASIA PACIFIC: RECESSION IMPACT
    CHINA
    - Growing composite AI solutions in various verticals to drive market growth
    INDIA
    - High adoption of AI technology to drive market
    JAPAN
    - Advancements in technologies and need to prevent data breaches to drive market
    ANZ
    - Rising need to reduce overall operational costs to drive composite AI market
    SOUTH KOREA
    - Adoption of AI and related technologies to help create favorable environment for composite AI market growth
    ASEAN COUNTRIES
    - Growing data generation to boost demand for composite AI in ASEAN countries
    REST OF ASIA PACIFIC
  • 10.5 MIDDLE EAST & AFRICA
    MIDDLE EAST & AFRICA: COMPOSITE AI MARKET DRIVERS
    MIDDLE EAST & AFRICA: RECESSION IMPACT
    UNITED ARAB EMIRATES
    - Customer support services to drive market for composite AI in UAE
    SAUDI ARABIA
    - Operational efficiency of composite AI solutions and services to drive market
    SOUTH AFRICA
    - Emphasis on improving customer experience to drive demand for composite AI
    ISRAEL
    - Country’s reputation as technological powerhouse to drive market
    REST OF MIDDLE EAST & AFRICA
  • 10.6 LATIN AMERICA
    LATIN AMERICA: COMPOSITE AI MARKET DRIVERS
    LATIN AMERICA: RECESSION IMPACT
    BRAZIL
    - Focus on technologies and applications to drive market for composite AI
    MEXICO
    - Proximity to US and technical expertise within country to drive growth
    ARGENTINA
    - Initiatives by government and private institutions to provide common ground for collaboration and development
    REST OF LATIN AMERICA
COMPETITIVE LANDSCAPE
190
  • 11.1 OVERVIEW
  • 11.2 STRATEGIES ADOPTED BY KEY PLAYERS
  • 11.3 REVENUE ANALYSIS
    HISTORICAL REVENUE ANALYSIS
  • 11.4 MARKET SHARE ANALYSIS
  • 11.5 COMPANY EVALUATION QUADRANT
    STARS
    EMERGING LEADERS
    PERVASIVE PLAYERS
    PARTICIPANTS
    COMPETITIVE BENCHMARKING
  • 11.6 STARTUP/SME EVALUATION QUADRANT
    PROGRESSIVE COMPANIES
    RESPONSIVE COMPANIES
    DYNAMIC COMPANIES
    STARTING BLOCKS
    COMPETITIVE BENCHMARKING OF STARTUPS/SMES
  • 11.7 COMPOSITE AI PRODUCT LANDSCAPE
    COMPARATIVE ANALYSIS OF COMPOSITE AI PRODUCTS
  • 11.8 VALUATION AND FINANCIAL METRICS OF KEY COMPOSITE AI VENDORS
  • 11.9 COMPETITIVE SCENARIO AND TRENDS
    PRODUCT LAUNCHES
    DEALS
COMPANY PROFILES
209
  • 12.1 INTRODUCTION
  • 12.2 KEY PLAYERS
    IBM
    - Business overview
    - Products offered
    - Recent developments
    - MnM view
    SAS INSTITUTE
    - Business overview
    - Products offered
    - Recent developments
    - MnM view
    MICROSOFT
    - Business overview
    - Products offered
    - Recent developments
    - MnM view
    GOOGLE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    AWS
    - Business overview
    - Products offered
    - Recent developments
    - MnM view
    SALESFORCE
    - Business overview
    - Products offered
    - Recent developments
    BLACKSWAN TECHNOLOGIES
    - Business overview
    - Products offered
    - Recent developments
    ORACLE
    - Business overview
    - Products offered
    - Recent developments
    OPENTEXT
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    SAP
    - Business overview
    - Products offered
    - Recent developments
    HPE
    - Business overview
    - Products offered
    - Recent developments
    PEGA
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
  • 12.3 OTHER KEY PLAYERS
    NVIDIA
    INTEL
    UIPATH
    ZEST AI
    DYNAMIC YIELD
    DATAROBOT
    H20.AI
    SQUIRRO
    COGNITIVESCALE
    SPARKCOGNITION
    DIWO
  • 12.4 STARTUPS/SMES
    ACTICO
    KYNDI
    NAUTO
    NETRA
    EXPONENTIAL AI
ADJACENT AND RELATED MARKETS
256
  • 13.1 INTRODUCTION
  • 13.2 NLP MARKET - GLOBAL FORECAST TO 2027
    MARKET DEFINITION
    MARKET OVERVIEW
    - NLP market, by component
    - NLP market, by type
    - NLP market, by deployment mode
    - NLP market, by organization size
    - NLP market, by application
    - NLP market, by technology
    - NLP market, by vertical
    - NLP market, by region
  • 13.3 ARTIFICIAL INTELLIGENCE MARKET - GLOBAL FORECAST TO 2027
    MARKET DEFINITION
    MARKET OVERVIEW
    - Artificial intelligence market, by offering
    - Artificial intelligence market, by technology
    - Artificial intelligence market, by deployment mode
    - Artificial intelligence market, by organization size
    - Artificial intelligence market, by business function
    - Artificial intelligence market, by vertical
    - Artificial intelligence market, by region
APPENDIX
271
  • 14.1 DISCUSSION GUIDE
  • 14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
  • 14.3 CUSTOMIZATION OPTIONS
  • 14.4 RELATED REPORTS
  • 14.5 AUTHOR DETAILS
LIST OF TABLES
 
  • TABLE 1 PRIMARY INTERVIEWS
  • TABLE 2 FACTOR ANALYSIS
  • TABLE 3 IMPACT OF RECESSION ON GLOBAL COMPOSITE AI MARKET
  • TABLE 4 GLOBAL COMPOSITE AI MARKET SIZE AND GROWTH RATE, 2019–2022 (USD MILLION, Y-O-Y %)
  • TABLE 5 GLOBAL MARKET SIZE AND GROWTH RATE, 2023–2028 (USD MILLION, Y-O-Y %)
  • TABLE 6 PATENTS FILED, 2013–2023
  • TABLE 7 TOP 20 PATENT OWNERS IN MARKET, 2013–2023
  • TABLE 8 LIST OF PATENTS IN MARKET, 2023
  • TABLE 9 COMPOSITE AI MARKET: PRICING MODEL ANALYSIS, 2023
  • TABLE 10 DETAILED LIST OF CONFERENCES & EVENTS, 2023–2024
  • TABLE 11 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 12 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 13 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 14 MIDDLE EAST & AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 15 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 16 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE APPLICATIONS (%)
  • TABLE 17 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS
  • TABLE 18 COMPOSITE AI MARKET, BY OFFERING, 2019–2022 (USD MILLION)
  • TABLE 19 MARKET, BY OFFERING, 2023–2028 (USD MILLION)
  • TABLE 20 MARKET, BY HARDWARE, 2019–2022 (USD MILLION)
  • TABLE 21 MARKET, BY HARDWARE, 2023–2028 (USD MILLION)
  • TABLE 22 PROCESSORS: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 23 PROCESSORS: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 24 MEMORY UNITS: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 25 MEMORY UNITS: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 26 NETWORKS: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 27 NETWORKS: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 28 OTHER HARDWARE: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 29 OTHER HARDWARE: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 30 COMPOSITE AI MARKET, BY SOFTWARE, 2019–2022 (USD MILLION)
  • TABLE 31 MARKET, BY SOFTWARE, 2023–2028 (USD MILLION)
  • TABLE 32 MACHINE LEARNING FRAMEWORKS: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 33 MACHINE LEARNING FRAMEWORKS: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 34 AI DEVELOPMENT PLATFORMS AND TOOLS: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 35 AI DEVELOPMENT PLATFORMS AND TOOLS: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 36 AI MIDDLEWARE: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 37 AI MIDDLEWARE: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 38 OTHER SOFTWARE: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 39 OTHER SOFTWARE: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 40 SERVICES: MARKET, BY TYPE, 2019–2022 (USD MILLION)
  • TABLE 41 SERVICES: MARKET, BY TYPE, 2023–2028 (USD MILLION)
  • TABLE 42 TRAINING AND CONSULTING: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 43 TRAINING AND CONSULTING: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 44 SYSTEM INTEGRATION AND IMPLEMENTATION: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 45 SYSTEM INTEGRATION AND IMPLEMENTATION: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 46 SUPPORT AND MAINTENANCE: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 47 SUPPORT AND MAINTENANCE: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 48 MARKET, BY TECHNIQUE, 2019–2022 (USD MILLION)
  • TABLE 49 COMPOSITE AI MARKET, BY TYPE, 2023–2028 (USD MILLION)
  • TABLE 50 CONDITIONED MONITORING: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 51 CONDITIONED MONITORING: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 52 PATTERN RECOGNITION: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 53 PATTERN RECOGNITION: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 54 DATA PROCESSING: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 55 DATA PROCESSING: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 56 PROACTIVE MECHANISM: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 57 PROACTIVE MECHANISM: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 58 DATA MINING & MACHINE LEARNING: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 59 DATA MINING & MACHINE LEARNING: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 60 OTHER TECHNIQUES: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 61 OTHER TECHNIQUES: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 62 MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
  • TABLE 63 COMPOSITE AI MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
  • TABLE 64 PRODUCT DESIGN & DEVELOPMENT: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 65 PRODUCT DESIGN & DEVELOPMENT: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 66 QUALITY CONTROL: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 67 QUALITY CONTROL: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 68 PREDICTIVE MAINTENANCE: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 69 PREDICTIVE MAINTENANCE: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 70 SECURITY & SURVEILLANCE: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 71 SECURITY & SURVEILLANCE: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 72 CUSTOMER SERVICE: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 73 CUSTOMER SERVICE: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 74 OTHER APPLICATIONS: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 75 OTHER APPLICATIONS: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 76 MARKET, BY VERTICAL, 2019–2022 (USD MILLION)
  • TABLE 77 MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
  • TABLE 78 BFSI: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 79 BFSI: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 80 RETAIL AND ECOMMERCE: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 81 RETAIL AND ECOMMERCE: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 82 MANUFACTURING: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 83 MANUFACTURING: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 84 ENERGY AND UTILITIES: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 85 ENERGY AND UTILITIES: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 86 TRANSPORTATION AND LOGISTICS: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 87 TRANSPORTATION AND LOGISTICS: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 88 HEALTHCARE AND LIFE SCIENCES: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 89 HEALTHCARE AND LIFE SCIENCES: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 90 MEDIA AND ENTERTAINMENT: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 91 MEDIA AND ENTERTAINMENT: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 92 GOVERNMENT AND DEFENSE: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 93 GOVERNMENT AND DEFENSE: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 94 TELECOM: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 95 TELECOM: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 96 OTHER VERTICALS: MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 97 OTHER VERTICALS: MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 98 MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 99 MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 100 NORTH AMERICA: COMPOSITE AI MARKET, BY OFFERING, 2019–2022 (USD MILLION)
  • TABLE 101 NORTH AMERICA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
  • TABLE 102 NORTH AMERICA: MARKET, BY HARDWARE, 2019–2022 (USD MILLION)
  • TABLE 103 NORTH AMERICA: MARKET, BY HARDWARE, 2023–2028 (USD MILLION)
  • TABLE 104 NORTH AMERICA: MARKET, BY SOFTWARE, 2019–2022 (USD MILLION)
  • TABLE 105 NORTH AMERICA: MARKET, BY SOFTWARE, 2023–2028 (USD MILLION)
  • TABLE 106 NORTH AMERICA: MARKET, BY SERVICE, 2019–2022 (USD MILLION)
  • TABLE 107 NORTH AMERICA: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
  • TABLE 108 NORTH AMERICA: MARKET, BY TECHNIQUE, 2019–2022 (USD MILLION)
  • TABLE 109 NORTH AMERICA: MARKET, BY TECHNIQUE, 2023–2028 (USD MILLION)
  • TABLE 110 NORTH AMERICA: MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
  • TABLE 111 NORTH AMERICA: MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
  • TABLE 112 NORTH AMERICA: MARKET, BY VERTICAL, 2019–2022 (USD MILLION)
  • TABLE 113 NORTH AMERICA: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
  • TABLE 114 NORTH AMERICA: MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
  • TABLE 115 NORTH AMERICA: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
  • TABLE 116 EUROPE: COMPOSITE AI MARKET, BY OFFERING, 2019–2022 (USD MILLION)
  • TABLE 117 EUROPE: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
  • TABLE 118 EUROPE: MARKET, BY HARDWARE, 2019–2022 (USD MILLION)
  • TABLE 119 EUROPE: MARKET, BY HARDWARE, 2023–2028 (USD MILLION)
  • TABLE 120 EUROPE: MARKET, BY SOFTWARE, 2019–2022 (USD MILLION)
  • TABLE 121 EUROPE: MARKET, BY SOFTWARE, 2023–2028 (USD MILLION)
  • TABLE 122 EUROPE: MARKET, BY SERVICE, 2019–2022 (USD MILLION)
  • TABLE 123 EUROPE: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
  • TABLE 124 EUROPE: MARKET, BY TECHNIQUE, 2019–2022 (USD MILLION)
  • TABLE 125 EUROPE: MARKET, BY TECHNIQUE, 2023–2028 (USD MILLION)
  • TABLE 126 EUROPE: MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
  • TABLE 127 EUROPE: MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
  • TABLE 128 EUROPE: MARKET, BY VERTICAL, 2019–2022 (USD MILLION)
  • TABLE 129 EUROPE: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
  • TABLE 130 EUROPE: MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
  • TABLE 131 EUROPE: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
  • TABLE 132 ASIA PACIFIC: COMPOSITE AI MARKET, BY OFFERING, 2019–2022 (USD MILLION)
  • TABLE 133 ASIA PACIFIC: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
  • TABLE 134 ASIA PACIFIC: MARKET, BY HARDWARE, 2019–2022 (USD MILLION)
  • TABLE 135 ASIA PACIFIC: MARKET, BY HARDWARE, 2023–2028 (USD MILLION)
  • TABLE 136 ASIA PACIFIC: MARKET, BY SOFTWARE, 2019–2022 (USD MILLION)
  • TABLE 137 ASIA PACIFIC: MARKET, BY SOFTWARE, 2023–2028 (USD MILLION)
  • TABLE 138 ASIA PACIFIC: MARKET, BY SERVICE, 2019–2022 (USD MILLION)
  • TABLE 139 ASIA PACIFIC: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
  • TABLE 140 ASIA PACIFIC: MARKET, BY TECHNIQUE, 2019–2022 (USD MILLION)
  • TABLE 141 ASIA PACIFIC: MARKET, BY TECHNIQUE, 2023–2028 (USD MILLION)
  • TABLE 142 ASIA PACIFIC: MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
  • TABLE 143 ASIA PACIFIC: MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
  • TABLE 144 ASIA PACIFIC: MARKET, BY VERTICAL, 2019–2022 (USD MILLION)
  • TABLE 145 ASIA PACIFIC: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
  • TABLE 146 ASIA PACIFIC: MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
  • TABLE 147 ASIA PACIFIC: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
  • TABLE 148 ASIA PACIFIC: MARKET, BY ASEAN COUNTRY, 2019–2022 (USD MILLION)
  • TABLE 149 ASIA PACIFIC: MARKET, BY ASEAN COUNTRY, 2023–2028 (USD MILLION)
  • TABLE 150 MIDDLE EAST & AFRICA: COMPOSITE AI MARKET, BY OFFERING, 2019–2022 (USD MILLION)
  • TABLE 151 MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
  • TABLE 152 MIDDLE EAST & AFRICA: MARKET, BY HARDWARE, 2019–2022 (USD MILLION)
  • TABLE 153 MIDDLE EAST & AFRICA: MARKET, BY HARDWARE, 2023–2028 (USD MILLION)
  • TABLE 154 MIDDLE EAST & AFRICA: MARKET, BY SOFTWARE, 2019–2022 (USD MILLION)
  • TABLE 155 MIDDLE EAST & AFRICA: MARKET, BY SOFTWARE, 2023–2028 (USD MILLION)
  • TABLE 156 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2019–2022 (USD MILLION)
  • TABLE 157 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
  • TABLE 158 MIDDLE EAST & AFRICA: MARKET, BY TECHNIQUE, 2019–2022 (USD MILLION)
  • TABLE 159 MIDDLE EAST & AFRICA: MARKET, BY TECHNIQUE, 2023–2028 (USD MILLION)
  • TABLE 160 MIDDLE EAST & AFRICA: MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
  • TABLE 161 MIDDLE EAST & AFRICA: MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
  • TABLE 162 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2019–2022 (USD MILLION)
  • TABLE 163 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
  • TABLE 164 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
  • TABLE 165 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
  • TABLE 166 LATIN AMERICA: COMPOSITE AI MARKET, BY OFFERING, 2019–2022 (USD MILLION)
  • TABLE 167 LATIN AMERICA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
  • TABLE 168 LATIN AMERICA: MARKET, BY HARDWARE, 2019–2022 (USD MILLION)
  • TABLE 169 LATIN AMERICA: MARKET, BY HARDWARE, 2023–2028 (USD MILLION)
  • TABLE 170 LATIN AMERICA: MARKET, BY SOFTWARE, 2019–2022 (USD MILLION)
  • TABLE 171 LATIN AMERICA: MARKET, BY SOFTWARE, 2023–2028 (USD MILLION)
  • TABLE 172 LATIN AMERICA: MARKET, BY SERVICE, 2019–2022 (USD MILLION)
  • TABLE 173 LATIN AMERICA: MARKET, BY SERVICE, 2023–2028 (USD MILLION)
  • TABLE 174 LATIN AMERICA: MARKET, BY TECHNIQUE, 2019–2022 (USD MILLION)
  • TABLE 175 LATIN AMERICA: MARKET, BY TECHNIQUE, 2023–2028 (USD MILLION)
  • TABLE 176 LATIN AMERICA: MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
  • TABLE 177 LATIN AMERICA: MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
  • TABLE 178 LATIN AMERICA: MARKET, BY VERTICAL, 2019–2022 (USD MILLION)
  • TABLE 179 LATIN AMERICA: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
  • TABLE 180 LATIN AMERICA: MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
  • TABLE 181 LATIN AMERICA: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
  • TABLE 182 OVERVIEW OF STRATEGIES ADOPTED BY KEY COMPOSITE AI VENDORS
  • TABLE 183 COMPOSITE AI MARKET: DEGREE OF COMPETITION
  • TABLE 184 MARKET: PRODUCT FOOTPRINT ANALYSIS OF KEY PLAYERS, 2022
  • TABLE 185 MARKET: PRODUCT FOOTPRINT ANALYSIS OF OTHER KEY PLAYERS, 2022
  • TABLE 186 MARKET: DETAILED LIST OF KEY STARTUPS/SMES
  • TABLE 187 MARKET: PRODUCT FOOTPRINT ANALYSIS OF STARTUPS/SMES, 2023
  • TABLE 188 COMPARATIVE ANALYSIS OF COMPOSITE AI PRODUCTS OF KEY PLAYERS
  • TABLE 189 COMPARATIVE ANALYSIS OF COMPOSITE AI PRODUCTS OF OTHER KEY PLAYERS
  • TABLE 190 SERVICE/PRODUCT LAUNCHES, 2020–2023
  • TABLE 191 DEALS, 2020–2023
  • TABLE 192 IBM: BUSINESS OVERVIEW
  • TABLE 193 IBM: PRODUCTS OFFERED
  • TABLE 194 IBM: PRODUCT LAUNCHES
  • TABLE 195 IBM: DEALS
  • TABLE 196 SAS INSTITUTE: BUSINESS OVERVIEW
  • TABLE 197 SAS INSTITUTE: PRODUCTS OFFERED
  • TABLE 198 SAS INSTITUTE: DEALS
  • TABLE 199 MICROSOFT: BUSINESS OVERVIEW
  • TABLE 200 MICROSOFT: PRODUCTS OFFERED
  • TABLE 201 MICROSOFT: PRODUCT LAUNCHES
  • TABLE 202 MICROSOFT: DEALS
  • TABLE 203 GOOGLE: BUSINESS OVERVIEW
  • TABLE 204 GOOGLE: PRODUCTS OFFERED
  • TABLE 205 GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 206 AWS: BUSINESS OVERVIEW
  • TABLE 207 AWS: PRODUCTS OFFERED
  • TABLE 208 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 209 AWS: DEALS
  • TABLE 210 SALESFORCE: BUSINESS OVERVIEW
  • TABLE 211 SALESFORCE: PRODUCTS OFFERED
  • TABLE 212 SALESFORCE: DEALS
  • TABLE 213 BLACKSWAN TECHNOLOGIES: BUSINESS OVERVIEW
  • TABLE 214 BLACKSWAN TECHNOLOGIES: PRODUCTS OFFERED
  • TABLE 215 BLACKSWAN TECHNOLOGIES: PRODUCT LAUNCHES
  • TABLE 216 BLACKSWAN TECHNOLOGIES: DEALS
  • TABLE 217 ORACLE: BUSINESS OVERVIEW
  • TABLE 218 ORACLE: PRODUCTS OFFERED
  • TABLE 219 ORACLE: PRODUCT LAUNCHES
  • TABLE 220 ORACLE: DEALS
  • TABLE 221 OPENTEXT: BUSINESS OVERVIEW
  • TABLE 222 OPENTEXT: PRODUCTS OFFERED
  • TABLE 223 OPENTEXT: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 224 OPENTEXT: DEALS
  • TABLE 225 SAP: BUSINESS OVERVIEW
  • TABLE 226 SAP: PRODUCTS OFFERED
  • TABLE 227 SAP: DEALS
  • TABLE 228 HPE: BUSINESS OVERVIEW
  • TABLE 229 HPE: PRODUCTS OFFERED
  • TABLE 230 HPE: DEALS
  • TABLE 231 PEGA: BUSINESS OVERVIEW
  • TABLE 232 PEGA: PRODUCTS OFFERED
  • TABLE 233 PEGA: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 234 PEGA: DEALS
  • TABLE 235 NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2016–2021 (USD MILLION)
  • TABLE 236 NATURAL LANGUAGE PROCESSING MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
  • TABLE 237 NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2016–2021 (USD MILLION)
  • TABLE 238 NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2022–2027 (USD MILLION)
  • TABLE 239 NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD MILLION)
  • TABLE 240 NATURAL LANGUAGE PROCESSING MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
  • TABLE 241 NATURAL LANGUAGE PROCESSING MARKET, BY ORGANIZATION SIZE, 2016–2021 (USD MILLION)
  • TABLE 242 NATURAL LANGUAGE PROCESSING MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
  • TABLE 243 NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2016–2021 (USD MILLION)
  • TABLE 244 NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2022–2027 (USD MILLION)
  • TABLE 245 NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY, 2016–2021 (USD MILLION)
  • TABLE 246 NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY, 2022–2027 (USD MILLION)
  • TABLE 247 NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2016–2021 (USD MILLION)
  • TABLE 248 NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
  • TABLE 249 NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2016–2021 (USD MILLION)
  • TABLE 250 NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2022–2027 (USD MILLION)
  • TABLE 251 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2016–2021 (USD BILLION)
  • TABLE 252 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2022–2027 (USD BILLION)
  • TABLE 253 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2016–2021 (USD BILLION)
  • TABLE 254 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2022–2027 (USD BILLION)
  • TABLE 255 ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD BILLION)
  • TABLE 256 ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD BILLION)
  • TABLE 257 ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION SIZE, 2016–2021 (USD BILLION)
  • TABLE 258 ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD BILLION)
  • TABLE 259 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2016–2021 (USD BILLION)
  • TABLE 260 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2022–2027 (USD BILLION)
  • TABLE 261 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2016–2021 (USD BILLION)
  • TABLE 262 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2022–2027 (USD BILLION)
  • TABLE 263 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION)
  • TABLE 264 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION)
LIST OF FIGURES
 
  • FIGURE 1 MARKET: RESEARCH DESIGN
  • FIGURE 2 DATA TRIANGULATION
  • FIGURE 3 COMPOSITE AI MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
  • FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 1 (SUPPLY SIDE): REVENUE FROM SOLUTIONS/SERVICES
  • FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY- APPROACH 2, BOTTOM-UP (SUPPLY SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/SERVICES
  • FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 3, BOTTOM-UP (SUPPLY SIDE): COLLECTIVE REVENUE FROM ALL SOLUTIONS/SERVICES
  • FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 4, BOTTOM-UP (DEMAND SIDE): SHARE OF COMPOSITE AI THROUGH OVERALL COMPOSITE AI SPENDING
  • FIGURE 8 SOFTWARE SEGMENT TO DOMINATE MARKET IN 2023
  • FIGURE 9 AI DEVELOPMENT PLATFORMS AND TOOLS TO HOLD LARGEST MARKET SHARE IN 2023
  • FIGURE 10 PROCESSORS SEGMENT TO DOMINATE MARKET IN 2023
  • FIGURE 11 SYSTEM INTEGRATION AND IMPLEMENTATION SEGMENT TO LEAD MARKET IN 2023
  • FIGURE 12 DATA PROCESSING SEGMENT TO HOLD LARGEST MARKET SHARE IN 2023
  • FIGURE 13 PRODUCT DESIGN & DEVELOPMENT SEGMENT TO LEAD MARKET IN 2023
  • FIGURE 14 HEALTHCARE AND LIFE SCIENCES SEGMENT TO GROW AT HIGHEST CAGR
  • FIGURE 15 NORTH AMERICA TO HOLD LARGEST SHARE, WHILE ASIA PACIFIC TO GROW AT HIGHEST CAGR
  • FIGURE 16 GROWING INTRICACY OF AI APPLICATIONS FOR BETTER PERFORMANCE AND ACCURACY TO DRIVE MARKET GROWTH
  • FIGURE 17 COMPOSITE AI MARKET TO WITNESS MINOR DECLINE IN Y-O-Y GROWTH IN 2023
  • FIGURE 18 CUSTOMER SERVICE SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 19 SOFTWARE AND BFSI SEGMENTS TO HOLD LARGEST SHARES IN NORTH AMERICA IN 2023
  • FIGURE 20 NORTH AMERICA TO HOLD LARGEST SHARE IN 2023
  • FIGURE 21 EVOLUTION OF COMPOSITE AI
  • FIGURE 22 COMPOSITE AI MARKET ARCHITECTURE
  • FIGURE 23 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: COMPOSITE AI MARKET
  • FIGURE 24 MARKET: SUPPLY CHAIN ANALYSIS
  • FIGURE 25 TOTAL NUMBER OF PATENTS GRANTED, 2013–2023
  • FIGURE 26 TOP TEN COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS IN LAST 10 YEARS, 2013–2023
  • FIGURE 27 REGIONAL ANALYSIS OF PATENTS GRANTED IN MARKET, 2023
  • FIGURE 28 PORTER’S FIVE FORCES ANALYSIS
  • FIGURE 29 COMPOSITE AI MARKET: TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS
  • FIGURE 30 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS
  • FIGURE 31 COMPOSITE AI ROADMAP UNTIL 2030
  • FIGURE 32 ECOSYSTEM ANALYSIS
  • FIGURE 33 HARDWARE SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 34 NETWORKS TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 35 AI MIDDLEWARE TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 36 TRAINING AND CONSULTING SERVICES SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 37 DATA MINING & MACHINE LEARNING SEGMENT TO REGISTER HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 38 CUSTOMER SERVICE SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 39 HEALTHCARE AND LIFE SCIENCES SEGMENT TO WITNESS HIGHEST GROWTH RATE DURING FORECAST PERIOD
  • FIGURE 40 ASIA PACIFIC TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 41 INDIA TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 42 NORTH AMERICA: MARKET SNAPSHOT
  • FIGURE 43 ASIA PACIFIC: MARKET SNAPSHOT
  • FIGURE 44 HISTORICAL REVENUE ANALYSIS OF TOP PLAYERS, 2020–2022 (USD MILLION)
  • FIGURE 45 MARKET SHARE ANALYSIS FOR KEY COMPANIES, 2022
  • FIGURE 46 COMPANY EVALUATION QUADRANT OF KEY COMPOSITE AI MARKET PLAYERS, 2022
  • FIGURE 47 STARTUPS/SMES COMPOSITE AI PLAYERS: COMPANY EVALUATION QUADRANT, 2022
  • FIGURE 48 FINANCIAL METRICS OF KEY COMPOSITE AI VENDORS
  • FIGURE 49 YTD PRICE TOTAL RETURN AND STOCK BETA OF KEY COMPOSITE AI VENDORS
  • FIGURE 50 IBM: COMPANY SNAPSHOT
  • FIGURE 51 MICROSOFT: COMPANY SNAPSHOT
  • FIGURE 52 GOOGLE: COMPANY SNAPSHOT
  • FIGURE 53 AWS: COMPANY SNAPSHOT
  • FIGURE 54 SALESFORCE: COMPANY SNAPSHOT
  • FIGURE 55 ORACLE: COMPANY SNAPSHOT
  • FIGURE 56 OPENTEXT: COMPANY SNAPSHOT
  • FIGURE 57 SAP: COMPANY SNAPSHOT
  • FIGURE 58 HPE: COMPANY SNAPSHOT
  • FIGURE 59 PEGA: COMPANY SNAPSHOT

 

The study involved four major activities in estimating the current market size of the composite AI market. Extensive secondary research was done to collect information on the market, peer, and parent markets. The next step was to validate these findings, assumptions, and sizing with industry experts across the value chain through primary research. Both top-down and bottom-up approaches were used to estimate the total market size. After that, the market breakup and data triangulation procedures were used to estimate the market size of the segments and subsegments of the composite AI market.

Secondary Research

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 vendors’ websites. Additionally, Composite AI 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 solutions, services, market classification, and segmentation according to offerings of major players, industry trends related to solutions, services, deployment modes, verticals, and regions, and key developments from both markets- and technology-oriented perspectives.

Primary Research

In the primary research process, various primary sources from both 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 Composite AI expertise; related key executives from Composite AI 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 composite AI solutions, were interviewed to understand the buyer’s perspective on suppliers, products, service providers, and their current usage of Composite AI solutions and services, which would impact the overall Composite AI market.

Composite AI Market Size, and Share

Note: Tier 1 companies comprise an overall annual revenue of >USD 10 billion; tier 2 companies’ revenue ranges between USD 1 and 10 billion; and tier 3 companies’ revenue ranges between USD 500 million–USD 1 billion
*ROW include Middle East & Africa, and Latin America
*Others include sales managers, marketing managers, and product managers Source: MarketsandMarkets Analysis

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

Market Size Estimation

Both top-down and bottom-up approaches were used to estimate and validate the total size of the composite AI market. The top-down approach was used to derive the revenue contribution of top vendors and their offerings in the composite AI market. The bottom-up approach was used to arrive at the overall market size of the global composite AI market using key companies’ revenue and their offerings in the market. The research methodology used to estimate the market size includes the following:

  • The key players in the market were identified through extensive secondary research.
  • The market size, in terms of value, was determined through primary and secondary research processes.
  • All percentages, shares, and breakups were determined using secondary sources and verified through primary sources.

Composite AI Market: Top-Down and Bottom-Up Approach

Composite AI Market Top Down and Bottom Up Approach

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 BlackSwan Technologies, Composite AI is a breakthrough approach combining multiple AI techniques to interpret data more deeply and efficiently solve a wider range of business problems. The techniques applied may include knowledge graphs, natural language processing (NLP), contextual analysis, machine learning (ML), deep learning, and other methods. Composite AI is most effective when integrated into a complete enterprise software platform incorporating insight-driven alerts and workflows, data visualization and situational dashboards, organizational policies, and privacy protections.

Key Stakeholders

  • Composite AI vendors
  • Composite AI hardware vendors
  • Composite AI service vendors
  • Managed service providers
  • Support and maintenance service providers
  • System Integrators (SIs)/migration service providers
  • Value-Added Resellers (VARs) and distributors
  • Distributors and Value-added Resellers (VARs)
  • System Integrators (SIs)
  • Independent Software Vendors (ISV)
  • Third-party providers
  • Technology providers

Report Objectives

  • To define, describe, and predict the composite AI market by offering (Hardware, Software, and services), technique, application, vertical, and region
  • To provide detailed information about major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growth
  • To analyze opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders
  • To forecast the market size of segments concerning five main regions: North America, Europe, Asia Pacific, Middle East and Africa, and Latin America
  • To profile key players and comprehensively analyze their market rankings and core competencies
  • To analyze competitive developments in the composite AI market, such as partnerships, new product launches, and mergers and acquisitions

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

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

Geographic analysis

  • Further breakup of the North American Composite AI market
  • Further breakup of the European Composite AI market
  • Further breakup of the Asia Pacific Composite AI market
  • Further breakup of the Latin American Composite AI market
  • Further breakup of the Middle East & Africa Composite AI market

Company information

  • Detailed analysis and profiling of additional market players up to 5

Previous Versions of this Report

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