AI as a Service Market

Report Code TC 6185
Published in Oct, 2024, By MarketsandMarkets™
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AI as a Service Market by Product Type (Chatbots, ML Framework, API, No Code/Low Code ML Tools), Service Type (Machine Learning as a Service, Natural Language Processing as a Service (Text to Speech), Generative AI as a Service) - Global Forecast to 2029

Overview

The AI as a service market is growing quickly, with a projected market size set to increase from approximately USD 14.00 billion in 2024 to USD 72.13 billion by 2029. The impressive 38.8% annual growth rate from 2024 to 2029 results from the growing demand for AI-enhanced cybersecurity solutions to combat sophisticated threats, the rise of pre-trained AI models that require minimal customization, and the latest AIaaS solutions democratizing access for SMEs. The adoption of AIaaS is rapidly growing in sectors such as BFSI, healthcare, and retail due to its ability to personalize customer experiences and enhance the decision-making process. Major segments supporting market growth are machine learning frameworks, no-code/low-code ML tools, and predictive analytics. Authorities such as the European Commission and the US Federal Trade Commission (FTC) are enhancing AI regulatory frameworks, shaping the market by emphasizing ethical compliance and encouraging innovative solutions.

AI as a Service Market

Attractive Opportunities in the AI as a Service Market

ASIA PACIFIC

Asia Pacific is projected to have the fastest growth rate in the market due to rapid digital transformation, increasing government support for AI initiatives, and surging demand from sectors like e-commerce and smart cities. The region's expanding IT infrastructure and growing investment in AI technologies further drive adoption across industries.

Technological advancements in the market include enhanced cloud-based platforms, improved machine learning algorithms, and AI-driven automation tools, enabling faster data processing, real-time analytics, and more scalable, cost-effective solutions for businesses across industries.

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

Machine learning (ML) frameworks are expected to see healthy growth in the market due to increasing demand for customizable, scalable AI solutions. Businesses rely on ML frameworks for data-driven insights, automation, and improving decision-making.

The global market is experiencing rapid growth, driven by increasing adoption across industries like healthcare, finance, and retail. Factors such as digital transformation and cloud infrastructure expansion contributes to its widespread market expansion.

Impact of Generative AI on AI as a Service

CONTENT GENERATION & PERSONALIZATION

Automated code generation and optimization enhance software development efficiency by reducing manual coding and errors.

CUSTOMER SERVICE & SUPPORT AUTOMATION

Customer support chatbots powered by generative AI offer instant, personalized assistance, improving response time and satisfaction.

INTELLIGENT DOCUMENT PROCESSING

Predictive maintenance with generative AI anticipates equipment failures, reducing downtime and optimizing resource use.

AUTOMATED CODE GENERATION & SOFTWARE DEVELOPMENT

Generative AI enhances fraud detection by analyzing patterns, identifying anomalies, and preventing unauthorized transactions.

ENHANCED SECURITY & FRAUD DETECTION

Generative AI accelerates product development by automating design processes and generating innovative solutions.

VIRTUAL TRAINING & SIMULATION

Generative AI automates content creation, producing high-quality text, images, and videos quickly and efficiently.

AI as a Service Market

Global AI as a Service Market Dynamics

Driver: The rise of pre-trained AI models that require minimal customization accelerates AIaaS adoption

Pre-trained AI models designed to perform natural language processing, image recognition, and predictive analytics significantly reduce the barriers to AI adoption. The AI model has some built-in capabilities and needs minimal customization, allowing companies to adopt AI solutions without specialized expertise or long development procedures. The attractiveness of AIaaS lies in its ability to be quickly and cost-effectively deployed by companies seeking to utilize AI. Furthermore, pre-trained models decrease the training and fine-tuning requirements, resulting in quicker implementation and a higher ROI. The demand for AIaaS is growing in various sectors, such as healthcare, finance, and retail, as more industries see the potential of these models.

Restraint: Managing the environmental impact of energy-intensive AI computations and data centers

The rising energy consumption of AI computations and data centers is a huge challenge, particularly with current and increasingly complex AI models. Training and operating large-scale AI systems require enormous computational powers, thus increasing carbon emissions and cost of operation. Concerns about sustainability arise as companies like Apple, NVIDIA, and others face increasing pressure to adopt greener practices. Microsoft and Amazon are putting money into renewable energy sources and energy-efficient practices to offset the environmental impact of AI computing. Nevertheless, it is difficult to balance AI needs and environmental goals, particularly for companies like IBM, HPE, and others that rely on supercomputer performance for their applications. Challenges in AI technology adoption may slow progress, particularly in regions such as Germany, the Netherlands, and the Nordic Countries where environmental laws are stringent.

 

Opportunity: Increasing demand for explainable AI (XAI) to enhance trust and transparency

As AI becomes more prevalent, there is a growing need for explainable AI (XAI) to deal with issues related to trust and transparency. Businesses, especially in highly regulated industries like healthcare, finance, and defense, are realizing the benefits of AI technology that can provide insights into decision-making processes. XAI tools make AI models interpretable, enhance support for compliance with regulations, reduce bias, and increase user confidence. The increasing demand for transparency fuels interest in AI-as-a-Service (AIaaS) models that integrate XAI features. These models allow organizations to implement sophisticated AI systems while thoroughly comprehending how their decision-making processes work, a crucial factor for the ethical integration of AI technologies in the long run.

Challenge: Managing the costs associated with maintaining and scaling high-performance AI infrastructure for service delivery

AI service providers face major difficulties handling the substantial expenses of maintaining and expanding high-performance AI infrastructure. The operational costs increase due to the requirement of strong GPUs, specific hardware, and large energy consumption for running advanced AI models. AI providers must keep investing in advanced computing resources, cloud infrastructure, and energy-efficient solutions to meet client needs and control costs as demand for AI services increases. Additionally, the rapid pace of AI innovation requires ongoing infrastructure upgrades, leading to higher capital expenditures. To remain ahead in the competition, AI service providers seek low-cost measures that should be implemented in terms of resource optimization, adopting green energy sources, and scalable cloud-based solutions to upgrade performance within the cost-effective bounds.

Global AI as a Service Market Ecosystem Analysis

The market ecosystem comprises a diverse range of stakeholders. Key players include chatbots and API providers, machine learning framework providers, no-code or low-code ML providers, data pre-processing tool providers, public and managed cloud providers, and end users. These entities collaborate to develop, deliver, and utilize AI solutions, driving innovation and growth in the AI industry.

Top Companies in AI as a Service Market
 

By product type, the machine learning framework segment will hold the largest market share during the forecast period.

Machine learning frameworks dominate the AIaaS market since they make AI model development and deployment processes streamlined and less cumbersome. Frameworks such as TensorFlow and PyTorch provide pre-made libraries that eliminate the necessity for extensive knowledge in AI for businesses in various sectors. The ability of the ML framework to scale and handle different tasks, such as data analysis and natural language processing, makes them a flexible option. Being open source increases innovation and collaboration, which is a factor that ensures speedy adoption and further development, thus leading to market share of the AIaaS landscape.

By service type, the generative AI as a service segment will account for the fastest growth rate during the forecast period.

Generative AI as a service is anticipated to see the most rapid growth as it can produce content, designs, and simulations with minimal human involvement. This type of service is growing in various sectors, such as media, entertainment, and marketing, to produce text, images, music, and videos, improving creativity and customization. The increasing need for automation in content creation, customer engagement, and product development is fueling its implementation. Moreover, generative AI helps with fast prototyping and product innovation, giving companies a competitive advantage and driving its rapid growth in the AIaaS industry.

By region, Asia Pacific is set to experience the fastest growth during the forecast period.

The AIaaS market in Asia Pacific is projected to experience rapid growth, driven by the rise in digital transformation efforts, government funding for AI, and the quick uptake of cloud services. China, Japan, and India are at the forefront of AI research and development, backed by supportive policies and funding. The region's growing e-commerce, fintech, and manufacturing industries are increasing the demand for AI-based solutions to improve efficiency, engage customers, and drive product innovation. Moreover, an increasing amount of technology startups in the Asia Pacific region are using AIaaS to cut down on operational expenses and speed up their expansion. Due to the growing number of tech-savvy individuals and the emergence of 5G networks, AI features are becoming more prevalent in different industries, driving rapid expansion and establishing Asia Pacific as a lucrative region for service providers to target.

HIGHEST CAGR MARKET IN 2024-2030
INDIA FASTEST GROWING MARKET IN THE REGION
AI as a Service Market

Recent Developments of AI as a Service Market

  • In September 2024, BlackRock, Global Infrastructure Partners (GIP), Microsoft, and MGX established the Global AI Infrastructure Investment Partnership (GAIIP) to invest in new and expanded data centers to address the rising demand for computing power. This initiative also includes investments in energy infrastructure to develop new power sources for these facilities. Most of these infrastructure investments will be focused on the United States, driving AI innovation and economic development, while a portion will be allocated to partner countries in the US.
  • In April 2024, Microsoft Corp. and The Coca-Cola Company unveiled a five-year strategic alliance aimed at aligning Coca-Cola’s fundamental technology strategy across its entire system, facilitating the integration of advanced technology, and promoting global innovation and productivity. Coca-Cola has committed USD 1.1 billion in this partnership to leverage Microsoft Cloud and its generative AI capabilities.
  • In September 2024, at the United Nations General Assembly, Secretary of State Antony Blinken introduced the Partnership for Global Inclusivity on AI, along with several initiatives to leverage the swift progress of artificial intelligence (AI) to promote sustainable development worldwide. The Partnership for Global Inclusivity on AI (PGIAI) unites the Department of State with major tech companies such as Amazon, Anthropic, Google, IBM, Meta, Microsoft, Nvidia, and OpenAI. Collectively, they have pledged over USD 100 million, utilizing their shared expertise, resources, and networks to harness the potential of AI.
  • In May 2024, IBM and Salesforce revealed an expanded strategic partnership integrating IBM’s watsonx AI and Data Platform capabilities with the Salesforce Einstein 1 Platform, offering enhanced customer choice and flexibility in AI and data implementation. This collaboration will enable teams to make data-driven decisions and take actions seamlessly within their workflows.

Key Market Players

List of Top AI as a Service Market Companies

  • BigML
  • Scale AI
  • Levity AI
  • MindTitan
  • Glean
  • Anyscale
  • Clarifai
  • Inflection AI
  • Viso.ai

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Scope of the Report

Report Attribute Details
Market size available for years 2019–2029
Base year considered 2023
Forecast period 2024–2029
Forecast units USD (Million)
Segments Covered Product Type, Organization Size, Business Function, Service Type, End User, and Region.
Regions covered North America, Europe, Asia Pacific, Middle East & Africa, and Latin America

 

Key Questions Addressed by the Report

What is AI as a service?
AIaaS is a cloud-based solution offered by third-party providers. It enables businesses and individual users to integrate AI-powered capabilities, such as machine learning, natural language processing, and computer vision, into their systems without significant upfront investments in infrastructure or expertise. These AI tools, hosted in the cloud and accessible over the internet, allow for on-demand scalability and flexibility, making AI more accessible to many users.
What is the total CAGR expected for the AI as a service market during 2024-2029?
The market is expected to record a CAGR of 38.8% from 2024 to 2029.
What are the key benefits of AI as a service?
AI as a service offers end users cost-effective access to advanced AI technologies, scalability for varying workloads, ease of integration with existing systems, rapid deployment, and the ability to leverage expertise from leading AI providers without heavy upfront investments.
What are the challenges involved in AI as a service?
Challenges in AI as a service include managing the costs of high-performance infrastructure, ensuring data privacy and security, addressing integration complexities, maintaining compliance with regulations, and mitigating biases in AI models to ensure fairness.
Which are the top 3 service types in the AI as a service market?
The top three service types in service include Machine Learning as a Service, which provides accessible ML tools; Natural Language Processing as a Service, enabling language understanding applications; and Predictive Analytics & Data Science as a Service, which empowers data-driven decision-making through advanced analytics.
Who are the key vendors in the AI as a service market?
Some major players in the market include Microsoft (US), IBM (US), SAP (Germany), Oracle (US), Google (US), Salesforce (US), HPE (US), OpenAI (US), AWS (US), Cloudera (US), NVIDIA (US), ServiceNow (US), and Alibaba Cloud (China).

 

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Table of Contents

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TITLE
PAGE NO
INTRODUCTION
34
RESEARCH METHODOLOGY
40
EXECUTIVE SUMMARY
52
PREMIUM INSIGHTS
58
MARKET OVERVIEW AND INDUSTRY TRENDS
61
  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    DRIVERS
    - AIaaS democratizes access for small and medium enterprises
    - Growing demand for AI-enhanced cybersecurity solutions to combat sophisticated threats
    - Rise of pre-trained AI models that require minimal customization accelerates AIaaS adoption
    RESTRAINTS
    - Integration issues with legacy systems create inefficiencies
    - Managing environmental impact of energy-intensive AI computations and data centers
    - High dependency on cloud providers hampers trust and hinders adoption
    OPPORTUNITIES
    - Emergence of federated learning techniques for collaborative AI model training
    - Increasing demand for explainable AI (XAI) to enhance trust and transparency
    - Rising interest in quantum computing-based AI services for complex problem-solving
    CHALLENGES
    - Balancing innovation with regulatory compliance is complex
    - Mitigating risks associated with AI model drift and maintaining model accuracy over time
    - Managing cost of high-performance AI infrastructure
  • 5.3 IMPACT OF GENERATIVE AI ON AI AS A SERVICE MARKET
    TOP USE CASES & MARKET POTENTIAL
    - Key use cases
    CUSTOMER SERVICE & SUPPORT AUTOMATION
    CONTENT GENERATION & PERSONALIZATION
    INTELLIGENT DOCUMENT PROCESSING
    AUTOMATED CODE GENERATION & SOFTWARE DEVELOPMENT
    ENHANCED SECURITY & FRAUD DETECTION
    VIRTUAL TRAINING & SIMULATION
  • 5.4 AI AS A SERVICE MARKET: EVOLUTION
  • 5.5 ECOSYSTEM ANALYSIS
    CHATBOTS AND API PROVIDERS
    MACHINE LEARNING FRAMEWORK PROVIDERS
    NO-CODE/LOW-CODE TOOL PROVIDERS
    DATA PRE-PROCESSING TOOL PROVIDERS
    PUBLIC & MANAGED CLOUD PROVIDERS
    END USERS
  • 5.6 SUPPLY CHAIN ANALYSIS
  • 5.7 INVESTMENT LANDSCAPE AND FUNDING SCENARIO
  • 5.8 CASE STUDY ANALYSIS
    CASE STUDY 1: ADVANCED ANALYTICS AND VISUAL AI FOR ACCELERATING ION CHANNEL DRUG DISCOVERY
    CASE STUDY 2: ELULA’S AI SOLUTIONS HELPED BANKS IMPROVE CUSTOMER RETENTION
    CASE STUDY 3: NAMA RELIES ON GOOGLE CLOUD TO FURTHER GENERATIVE AI AND BECOME MORE STRATEGIC BUSINESS
    CASE STUDY 4: IMPROVING CUSTOMER SERVICE AND FRAUD DETECTION WITH IBM AIAAS
    CASE STUDY 5: AUTOMATING SUPPORT REQUEST TRIAGE WITH SALESFORCE AIAAS
    CASE STUDY 6: MICROSOFT AZURE AIAAS EMPOWERED ALASKA AIRLINES TO OPTIMIZE ON-TIME PERFORMANCE WITH PREDICTIVE MAINTENANCE
  • 5.9 TECHNOLOGY ANALYSIS
    KEY TECHNOLOGIES
    - Generative AI
    - Machine Learning
    - Conversational AI
    - Cloud Computing
    - Natural Language Processing (NLP)
    COMPLEMENTARY TECHNOLOGIES
    - Cognitive Computing
    - Big Data Analytics
    - Robotic Process Automation (RPA)
    ADJACENT TECHNOLOGIES
    - Quantum Computing
    - Internet of Things (IoT)
    - Cybersecurity
  • 5.10 REGULATORY LANDSCAPE
    REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    REGULATIONS, BY REGION
    - North America
    - Europe
    - Asia Pacific
    - Middle East & Africa
    - Latin America
  • 5.11 ARCHITECTURE: AI AS A SERVICE
    AI INFRASTRUCTURE
    AI SERVICES
    AI TOOLS
  • 5.12 PATENT ANALYSIS
    METHODOLOGY
    PATENTS FILED, BY DOCUMENT TYPE
    INNOVATION AND PATENT APPLICATIONS
  • 5.13 PRICING ANALYSIS
    AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY SERVICE TYPE
    INDICATIVE PRICING ANALYSIS, BY PRODUCT TYPE
  • 5.14 KEY CONFERENCES AND EVENTS, 2024–2025
  • 5.15 PORTER’S FIVE FORCES’ ANALYSIS
    THREAT OF NEW ENTRANTS
    THREAT OF SUBSTITUTES
    BARGAINING POWER OF SUPPLIERS
    BARGAINING POWER OF BUYERS
    INTENSITY OF COMPETITIVE RIVALRY
  • 5.16 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
    TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • 5.17 KEY STAKEHOLDERS & BUYING CRITERIA
    KEY STAKEHOLDERS IN BUYING PROCESS
    BUYING CRITERIA
AI AS A SERVICE MARKET, BY PRODUCT TYPE
113
  • 6.1 INTRODUCTION
    PRODUCT TYPE: AI AS A SERVICE MARKET DRIVERS
  • 6.2 CHATBOTS & VIRTUAL ASSISTANTS
    ORGANIZATIONS LOOKING AT AI AS A SERVICE PROVIDERS FOR ADVANCED SOLUTIONS WITHOUT INCURRING COSTS ON PHYSICAL STRUCTURES
  • 6.3 MACHINE LEARNING FRAMEWORKS
    OPEN-SOURCE FRAMEWORKS SUCH AS TENSORFLOW, PYTORCH, AND SCIKIT-LEARN INCREASINGLY BEING EMBRACED IN AIAAS MARKET
  • 6.4 APPLICATION PROGRAMMING INTERFACE (API)
    API PROVIDES EFFICIENT METHODS TO INTERACT WITH AI SERVICES SO BUSINESSES CAN INCORPORATE ADVANCED AI TECHNOLOGIES
  • 6.5 NO-CODE OR LOW-CODE ML TOOLS
    EASE OF ACCESS SPEEDS UP DEVELOPMENT AND PROMOTES WIDER ADOPTION OF AI IN DIFFERENT VERTICALS
  • 6.6 DATA PRE-PROCESSING TOOLS
    DATA PRE-PROCESSING TOOLS HELP TO CLEAN, TRANSFORM, AND STRUCTURE DATA, ENSURING ITS QUALITY AND CONSISTENCY
AI AS A SERVICE MARKET, BY SERVICE TYPE
123
  • 7.1 INTRODUCTION
    SERVICE TYPE: MARKET DRIVERS
  • 7.2 MACHINE LEARNING AS A SERVICE (MLAAS)
    USERS CAN LEVERAGE MLAAS PLATFORMS TO CREATE PREDICTIVE MODELS, TAKING ADVANTAGE OF SCALABILITY AND FLEXIBILITY
    DATA PREPARATION AND PREPROCESSING
    MODEL DEVELOPMENT AND TRAINING
    MODEL DEPLOYMENT AND MANAGEMENT
    MODEL EVALUATION AND TESTING
    RECOMMENDATION SERVICES
    OTHERS IN MACHINE LEARNING AS A SERVICE
  • 7.3 NATURAL LANGUAGE PROCESSING AS A SERVICE (NLPAAS)
    QUALITY CONTROL MECHANISMS IN NLPAAS PLATFORMS, ACCURACY, AND EFFECTIVENESS OF MODELS TO BE MAINTAINED THROUGH CONTINUOUS MONITORING
    SPEECH RECOGNITION
    SEMANTIC SEARCH
    SENTIMENT ANALYSIS
    VOICE RECOGNITION
    TEXT-TO-SPEECH (TTS)
    OTHERS IN NATURAL LANGUAGE PROCESSING AS A SERVICE
  • 7.4 COMPUTER VISION AS A SERVICE
    ENTERPRISES CAN ATTAIN HIGH ACCURACY IN PROCESSES LIKE OBJECT DETECTION, FACIAL RECOGNITION, AND IMAGE CLASSIFICATION
    IMAGE RECOGNITION
    FACE RECOGNITION
    VIDEO ANALYTICS
    OBJECT DETECTION
    OTHERS IN COMPUTER VISION AS A SERVICE
  • 7.5 PREDICTIVE ANALYTICS AND DATA SCIENCE AS A SERVICE (DSAAS)
    DSAAS SUPPORTS PREDICTIVE ANALYTICS BY PROVIDING COMPANIES WITH ADVANCED ANALYTICAL CAPABILITIES THAT DO NOT REQUIRE INTERNAL EXPERTISE
    OPERATIONAL INTELLIGENCE
    SUPPLY CHAIN ANALYTICS
    PREDICTIVE MAINTENANCE
    RISK MANAGEMENT
    OTHERS IN PREDICTIVE ANALYTICS AND DATA SCIENCE AS A SERVICE
  • 7.6 GENERATIVE AI AS A SERVICE
    GENERATIVE AI AS A SERVICE PLATFORMS CAN ALSO SERVE AS RESOURCES FOR DATA AUGMENTATION, UTILIZING AI-CREATED SAMPLES TO IMPROVE TRAINING DATASETS FOR ML MODELS
    CODE GENERATION & SOFTWARE DEVELOPMENT
    CONTENT CREATION
    FRAUD DETECTION
    CONTENT MODERATION
    DATA EXTRACTION
    OTHERS IN GENERATIVE AI AS A SERVICE
AI AS A SERVICE MARKET, BY BUSINESS FUNCTION
145
  • 8.1 INTRODUCTION
    BUSINESS FUNCTION: AI AS A SERVICE MARKET DRIVERS
  • 8.2 FINANCE
    AI TO RESHAPE FINANCIAL SECTOR BY AUTOMATING TASKS, ENHANCING COMPLIANCE WITH ADVANCED DATA ANALYSIS, AND ENABLING CUSTOMIZED CUSTOMER ENGAGEMENTS
  • 8.3 MARKETING
    AI TO REVOLUTIONIZE MARKETING TRENDS THROUGH HYPER-PERSONALIZATION, PREDICTIVE ANALYTICS, AND REAL-TIME DECISION-MAKING
  • 8.4 SALES
    AIAAS PLATFORMS TO OFFER IMMEDIATE UNDERSTANDING OF CUSTOMER ACTIONS, ALLOWING SALES TEAMS TO CUSTOMIZE THEIR SALES PITCHES AND PROMOTIONS
  • 8.5 OPERATIONS & SUPPLY CHAIN
    AI-DRIVEN PREDICTIVE ANALYSIS TO RECOGNIZE POSSIBLE INTERRUPTIONS AND RESTRICTIONS IN SUPPLY NETWORK, ALLOWING FOR PREEMPTIVE RISK MANAGEMENT APPROACHES
  • 8.6 HUMAN RESOURCES
    AI PROGRAMS TO ANTICIPATE UPCOMING SKILL DEFICIENCIES, DETECT POSSIBLE TURNOVER CONCERNS, AND SUGGEST SPECIFIC INTERVENTIONS
AI AS A SERVICE MARKET, BY ORGANIZATION SIZE
155
  • 9.1 INTRODUCTION
    ORGANIZATION SIZE: MARKET DRIVERS
  • 9.2 SMALL & MEDIUM-SIZED ENTERPRISES
    SMES CAN USE GENERATIVE AIAAS IN AUTOMATING CUSTOMER SERVICE OR IN ANALYZING HUGE DATASETS
  • 9.3 LARGE ENTERPRISES
    AIAAS MODEL ENABLES QUICK DEPLOYMENT AND INTEGRATION OF AI CAPABILITIES, WHICH IS CRUCIAL FOR LARGE ENTERPRISES LOOKING TO STAY COMPETITIVE
AI AS A SERVICE MARKET, BY END USER
160
  • 10.1 INTRODUCTION
    END USER: AI AS A SERVICE MARKET DRIVERS
  • 10.2 ENTERPRISES
    BFSI
    - AIaaS and blockchain to create secure, transparent transactions in BFSI domain
    RETAIL & E-COMMERCE
    - Advancements in machine learning, natural language processing, and computer vision technologies to drive retail & e-commerce market growth
    TECHNOLOGY
    - AIaaS to enable technology firms to rapidly test new concepts and applications by offering pre-built algorithms and models
    MEDIA & ENTERTAINMENT
    - Media companies to use ML algorithms to analyze viewer preferences and behaviors to provide personalized content suggestions
    MANUFACTURING
    - In manufacturing, predictive maintenance capability to be one of key benefits gained from AIaaS implementation
    HEALTHCARE & LIFE SCIENCES
    - AIaaS to help address critical challenges in patient care, diagnostics, and drug development
    ENERGY & UTILITIES
    - Data obtained from sensors and smart meters to allow energy suppliers to determine system inefficiencies by using AI
    GOVERNMENT & DEFENSE
    - AI algorithms to detect potential threats and emerging patterns that need immediate attention by using large amounts of data from different sources
    TELECOMMUNICATIONS
    - Telecom companies can achieve better understanding of customer preferences and behaviors by utilizing advanced ML models
    TRANSPORTATION & LOGISTICS
    - AIaaS allows for route optimization by examining traffic patterns, weather conditions, and delivery windows
    OTHER ENTERPRISE END USERS
  • 10.3 INDIVIDUAL USERS
AI AS A SERVICE MARKET, BY REGION
180
  • 11.1 INTRODUCTION
  • 11.2 NORTH AMERICA
    NORTH AMERICA: MARKET DRIVERS
    NORTH AMERICA: MACROECONOMIC OUTLOOK
    US
    - Rapid growth and responsible development of AIaaS market in US
    CANADA
    - Canada's strategic growth in AIaaS market: Innovation, investment, and ethical leadership
  • 11.3 EUROPE
    EUROPE: AI AS A SERVICE MARKET DRIVERS
    EUROPE: MACROECONOMIC OUTLOOK
    UK
    - UK's leadership in AIaaS Market: Innovation, safety, and sustainable growth
    GERMANY
    - Germany's focus on ethical AI practices positions it well for continued growth in AIaaS market
    FRANCE
    - France’s emphasis on ethical AI practices and regulatory frameworks to foster trust among businesses and consumers
    ITALY
    - Digital Future for Italy is document that will help government officials and businesspersons shape their policies
    SPAIN
    - Spanish government has recognized transformative potential of AI and developed national strategy
    REST OF EUROPE
  • 11.4 ASIA PACIFIC
    ASIA PACIFIC: AI AS A SERVICE MARKET DRIVERS
    ASIA PACIFIC: MACROECONOMIC OUTLOOK
    CHINA
    - China's use of Nvidia chips via Azure and Google Clouds highlights its ability to leverage global resources
    INDIA
    - Growth of AIaaS market in India driven by combination of government initiatives and technological innovation
    JAPAN
    - Government has recognized potential of AI to address demographic challenges and has implemented policies
    SOUTH KOREA
    - South Korea introduced “Act on the Development and Distribution of AI” outlining guidelines for safe and ethical use of AI technologies
    AUSTRALIA & NEW ZEALAND
    - Australian and New Zealand governments likely to continue fostering environment conducive to sustainable AI development
    SINGAPORE
    - Singapore government investment will support initiatives that uplift various sectors by integrating AI
    REST OF ASIA PACIFIC
  • 11.5 MIDDLE EAST & AFRICA
    MIDDLE EAST & AFRICA: MARKET DRIVERS
    MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
    MIDDLE EAST
    - Saudi Arabia
    - UAE
    - QATAR
    - Turkey
    - Rest of Middle East
    AFRICA
  • 11.6 LATIN AMERICA
    LATIN AMERICA: AI AS A SERVICE MARKET DRIVERS
    LATIN AMERICA: MACROECONOMIC OUTLOOK
    BRAZIL
    - Brazilian government has unveiled USD 4 billion initiative aimed at accelerating AI development
    MEXICO
    - Vibrant startup ecosystem and increasing collaboration between government and private enterprises to drive growth of AIaaS market in Mexico
    ARGENTINA
    - TIVIT announced investment of 1.5 billion pesos to promote AI and technological innovation in Argentina
    REST OF LATIN AMERICA
COMPETITIVE LANDSCAPE
247
  • 12.1 OVERVIEW
  • 12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN
  • 12.3 REVENUE ANALYSIS
  • 12.4 MARKET SHARE ANALYSIS
    MARKET RANKING ANALYSIS
  • 12.5 PRODUCT COMPARATIVE ANALYSIS
    PRODUCT COMPARATIVE ANALYSIS, BY AI AS A SERVICE
    - Amazon SageMaker (AWS)
    - Vertex AI Studio (Google)
    - Azure AI Studio (Microsoft)
    - Watson Studio (IBM)
    - Oracle Code Assist (Oracle)
  • 12.6 COMPANY VALUATION AND FINANCIAL METRICS
  • 12.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
    STARS
    EMERGING LEADERS
    PERVASIVE PLAYERS
    PARTICIPANTS
    COMPANY FOOTPRINT: KEY PLAYERS, 2023
    - Company Footprint
    - Region Footprint
    - Business Function Footprint
    - Product Type Footprint
    - End User Footprint
  • 12.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
    PROGRESSIVE COMPANIES
    RESPONSIVE COMPANIES
    DYNAMIC COMPANIES
    STARTING BLOCKS
    COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023
    - Detailed List of Key Startups/SMEs
    - Competitive Benchmarking Of Key Startups/SMEs
  • 12.9 COMPETITIVE SCENARIO AND TRENDS
    PRODUCT LAUNCHES AND ENHANCEMENTS
    DEALS
COMPANY PROFILES
288
  • 13.1 INTRODUCTION
    MICROSOFT
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    IBM
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    SAP
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    AWS
    - Business overview
    - Solutions/Services offered
    - Recent developments
    - MnM view
    GOOGLE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    SALESFORCE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    ORACLE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    NVIDIA
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    FICO
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    CLOUDERA
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    SERVICENOW
    HPE
    ALTAIR
    OPENAI
    SAS INSTITUTE
    DATAROBOT
    DATABRICKS
    C3 AI
    H20.AI
    ALIBABA CLOUD
  • 13.2 STARTUP/SME PROFILES
    RAINBIRD TECHNOLOGIES
    BIGML
    COHERE
    GLEAN
    YOTTAMINE ANALYTICS
    SCALE AI
    LANDING AI
    YELLOW.AI
    INFLECTION AI
    ANYSCALE
    ABRIDGE
    MISTRAL AI
    CODEIUM
    ARTHUR
    LEVITY AI
    UNSTRUCTURED AI
    CLARIFAI
    SYNTHESIA
    KATONIC AI
    DEEPSEARCH
    MINDTITAN
    VISO.AI
    SOFTWEB SOLUTIONS
ADJACENT AND RELATED MARKETS
371
  • 14.1 INTRODUCTION
  • 14.2 ARTIFICIAL INTELLIGENCE (AI) MARKET - GLOBAL FORECAST TO 2030
    MARKET DEFINITION
    MARKET OVERVIEW
    - Artificial Intelligence Market, By Offering
    - Artificial Intelligence Market, By Technology
    - Artificial Intelligence Market, By Business Function
    - Artificial Intelligence Market, By Vertical
    - Artificial Intelligence Market, By Region
  • 14.3 GENERATIVE AI MARKET - GLOBAL FORECAST TO 2030
    MARKET DEFINITION
    MARKET OVERVIEW
    - Generative AI Market, By Offering
    - Generative AI Market, By Application
    - Generative AI Market, By Vertical
    - Generative AI Market, By Region
APPENDIX
383
  • 15.1 DISCUSSION GUIDE
  • 15.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
  • 15.3 CUSTOMIZATION OPTIONS
  • 15.4 RELATED REPORTS
  • 15.5 AUTHOR DETAILS
LIST OF TABLES
 
  • TABLE 1 UNITED STATES DOLLAR EXCHANGE RATE, 2019–2023
  • TABLE 2 PRIMARY INTERVIEWS
  • TABLE 3 FACTOR ANALYSIS
  • TABLE 4 GLOBAL AI AS A SERVICE MARKET SIZE AND GROWTH RATE, 2019–2023 (USD MILLION, Y-O-Y %)
  • TABLE 5 GLOBAL MARKET SIZE AND GROWTH RATE, 2024–2029 (USD MILLION, Y-O-Y %)
  • TABLE 6 MARKET: ECOSYSTEM
  • TABLE 7 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 8 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 9 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 10 MIDDLE EAST & AFRICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 11 LATIN AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 12 PATENTS FILED, 2015–2024
  • TABLE 13 LIST OF FEW PATENTS IN MARKET, 2023–2024
  • TABLE 14 AVERAGE SELLING PRICES OF KEY PLAYERS FOR TOP 3 SERVICE TYPES
  • TABLE 15 INDICATIVE PRICING LEVELS OF AI AS A SERVICE SOLUTIONS, BY PRODUCT TYPE
  • TABLE 16 MARKET: DETAILED LIST OF CONFERENCES & EVENTS, 2024–2025
  • TABLE 17 PORTERS’ FIVE FORCES’ IMPACT ON MARKET
  • TABLE 18 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END USERS
  • TABLE 19 KEY BUYING CRITERIA FOR TOP THREE END USERS
  • TABLE 20 MARKET, BY PRODUCT TYPE, 2019–2023 (USD MILLION)
  • TABLE 21 MARKET, BY PRODUCT TYPE, 2024–2029 (USD MILLION)
  • TABLE 22 CHATBOTS & VIRTUAL ASSISTANTS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 23 CHATBOTS & VIRTUAL ASSISTANTS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 24 MACHINE LEARNING FRAMEWORKS: AI AS A SERVICE MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 25 MACHINE LEARNING FRAMEWORKS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 26 APPLICATION PROGRAMMING INTERFACE: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 27 APPLICATION PROGRAMMING INTERFACE: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 28 NO-CODE OR LOW-CODE ML TOOLS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 29 NO-CODE OR LOW-CODE ML TOOLS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 30 DATA PRE-PROCESSING TOOLS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 31 DATA PRE-PROCESSING TOOLS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 32 MARKET, BY SERVICE TYPE, 2019–2023 (USD MILLION)
  • TABLE 33 MARKET, BY SERVICE TYPE, 2024–2029 (USD MILLION)
  • TABLE 34 MACHINE LEARNING AS A SERVICE: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 35 MACHINE LEARNING AS A SERVICE: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 36 NATURAL LANGUAGE PROCESSING AS A SERVICE: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 37 NATURAL LANGUAGE PROCESSING AS A SERVICE: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 38 COMPUTER VISION AS A SERVICE: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 39 COMPUTER VISION AS A SERVICE: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 40 PREDICTIVE ANALYTICS AND DATA SCIENCE AS A SERVICE: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 41 PREDICTIVE ANALYTICS AND DATA SCIENCE AS A SERVICE: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 42 GENERATIVE AIaaS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 43 GENERATIVE AIaaS: AI AS A SERVICE MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 44 MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)
  • TABLE 45 MARKET, BY BUSINESS FUNCTION, 2024–2029 (USD MILLION)
  • TABLE 46 FINANCE: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 47 FINANCE: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 48 MARKETING: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 49 MARKETING: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 50 SALES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 51 SALES: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 52 OPERATIONS & SUPPLY CHAIN: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 53 OPERATIONS & SUPPLY CHAIN: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 54 HUMAN RESOURCES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 55 HUMAN RESOURCES: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 56 MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 57 MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 58 SMES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 59 SMES: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 60 LARGE ENTERPRISES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 61 LARGE ENTERPRISES: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 62 AI AS A SERVICE MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 63 MARKET, BY END USER, 2024–2029 (USD MILLION)
  • TABLE 64 MARKET, BY ENTERPRISE, 2019–2023 (USD MILLION)
  • TABLE 65 MARKET, BY ENTERPRISE, 2024–2029 (USD MILLION)
  • TABLE 66 BFSI: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 67 BFSI: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 68 RETAIL & E-COMMERCE: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 69 RETAIL & E-COMMERCE: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 70 TECHNOLOGY: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 71 TECHNOLOGY: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 72 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 73 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 74 MANUFACTURING: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 75 MANUFACTURING: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 76 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 77 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 78 ENERGY & UTILITIES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 79 ENERGY & UTILITIES: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 80 GOVERNMENT & DEFENSE: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 81 GOVERNMENT & DEFENSE: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 82 TELECOMMUNICATIONS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 83 TELECOMMUNICATIONS: AI AS A SERVICE MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 84 TRANSPORTATION & LOGISTICS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 85 TRANSPORTATION & LOGISTICS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 86 OTHER ENTERPRISE LEVEL END USERS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 87 OTHER ENTERPRISE LEVEL END USERS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 88 INDIVIDUAL USERS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 89 INDIVIDUAL USERS: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 90 MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 91 MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 92 NORTH AMERICA: MARKET, BY PRODUCT TYPE, 2019–2023 (USD MILLION)
  • TABLE 93 NORTH AMERICA: MARKET, BY PRODUCT TYPE, 2024–2029 (USD MILLION)
  • TABLE 94 NORTH AMERICA: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 95 NORTH AMERICA: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 96 NORTH AMERICA: MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)
  • TABLE 97 NORTH AMERICA: MARKET, BY BUSINESS FUNCTION, 2024–2029 (USD MILLION)
  • TABLE 98 NORTH AMERICA: MARKET, BY SERVICE TYPE, 2019–2023 (USD MILLION)
  • TABLE 99 NORTH AMERICA: MARKET, BY SERVICE TYPE, 2024–2029 (USD MILLION)
  • TABLE 100 NORTH AMERICA: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 101 NORTH AMERICA: MARKET, BY END USER, 2024–2029 (USD MILLION)
  • TABLE 102 NORTH AMERICA: MARKET, BY ENTERPRISE, 2019–2023 (USD MILLION)
  • TABLE 103 NORTH AMERICA: MARKET, BY ENTERPRISE, 2024–2029 (USD MILLION)
  • TABLE 104 NORTH AMERICA: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 105 NORTH AMERICA: AI AS A SERVICE MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 106 US: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 107 US: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 108 CANADA: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 109 CANADA: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 110 EUROPE: MARKET, BY PRODUCT TYPE, 2019–2023 (USD MILLION)
  • TABLE 111 EUROPE: MARKET, BY PRODUCT TYPE, 2024–2029 (USD MILLION)
  • TABLE 112 EUROPE: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 113 EUROPE: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 114 EUROPE: MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)
  • TABLE 115 EUROPE: MARKET, BY BUSINESS FUNCTION, 2024–2029 (USD MILLION)
  • TABLE 116 EUROPE: MARKET, BY SERVICE TYPE, 2019–2023 (USD MILLION)
  • TABLE 117 EUROPE: MARKET, BY SERVICE TYPE, 2024–2029 (USD MILLION)
  • TABLE 118 EUROPE: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 119 EUROPE: MARKET, BY END USER, 2024–2029 (USD MILLION)
  • TABLE 120 EUROPE: MARKET, BY ENTERPRISE, 2019–2023 (USD MILLION)
  • TABLE 121 EUROPE: MARKET, BY ENTERPRISE, 2024–2029 (USD MILLION)
  • TABLE 122 EUROPE: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 123 EUROPE: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 124 UK: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 125 UK: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 126 GERMANY: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 127 GERMANY: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 128 FRANCE: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 129 FRANCE: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 130 ITALY: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 131 ITALY: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 132 SPAIN: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 133 SPAIN: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 134 REST OF EUROPE: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 135 REST OF EUROPE: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 136 ASIA PACIFIC: MARKET, BY PRODUCT TYPE, 2019–2023 (USD MILLION)
  • TABLE 137 ASIA PACIFIC: MARKET, BY PRODUCT TYPE, 2024–2029 (USD MILLION)
  • TABLE 138 ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 139 ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 140 ASIA PACIFIC: MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)
  • TABLE 141 ASIA PACIFIC: MARKET, BY BUSINESS FUNCTION, 2024–2029 (USD MILLION)
  • TABLE 142 ASIA PACIFIC: MARKET, BY SERVICE TYPE, 2019–2023 (USD MILLION)
  • TABLE 143 ASIA PACIFIC: MARKET, BY SERVICE TYPE, 2024–2029 (USD MILLION)
  • TABLE 144 ASIA PACIFIC: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 145 ASIA PACIFIC: MARKET, BY END USER, 2024–2029 (USD MILLION)
  • TABLE 146 ASIA PACIFIC: MARKET, BY ENTERPRISE, 2019–2023 (USD MILLION)
  • TABLE 147 ASIA PACIFIC: MARKET, BY ENTERPRISE, 2024–2029 (USD MILLION)
  • TABLE 148 ASIA PACIFIC: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 149 ASIA PACIFIC: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 150 CHINA: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 151 CHINA: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 152 INDIA: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 153 INDIA: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 154 JAPAN: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 155 JAPAN: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 156 SOUTH KOREA: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 157 SOUTH KOREA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 158 AUSTRALIA & NEW ZEALAND: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 159 AUSTRALIA & NEW ZEALAND: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 160 SINGAPORE: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 161 SINGAPORE: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 162 REST OF ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 163 REST OF ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 164 MIDDLE EAST & AFRICA: MARKET, BY PRODUCT TYPE, 2019–2023 (USD MILLION)
  • TABLE 165 MIDDLE EAST & AFRICA: MARKET, BY PRODUCT TYPE, 2024–2029 (USD MILLION)
  • TABLE 166 MIDDLE EAST & AFRICA: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 167 MIDDLE EAST & AFRICA: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 168 MIDDLE EAST & AFRICA: MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)
  • TABLE 169 MIDDLE EAST & AFRICA: MARKET, BY BUSINESS FUNCTION, 2024–2029 (USD MILLION)
  • TABLE 170 MIDDLE EAST & AFRICA: MARKET, BY SERVICE TYPE, 2019–2023 (USD MILLION)
  • TABLE 171 MIDDLE EAST & AFRICA: MARKET, BY SERVICE TYPE, 2024–2029 (USD MILLION)
  • TABLE 172 MIDDLE EAST & AFRICA: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 173 MIDDLE EAST & AFRICA: MARKET, BY END USER, 2024–2029 (USD MILLION)
  • TABLE 174 MIDDLE EAST & AFRICA: MARKET, BY ENTERPRISE, 2019–2023 (USD MILLION)
  • TABLE 175 MIDDLE EAST & AFRICA: MARKET, BY ENTERPRISE, 2024–2029 (USD MILLION)
  • TABLE 176 MIDDLE EAST & AFRICA: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 177 MIDDLE EAST AND AFRICA: MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 178 MIDDLE EAST: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 179 MIDDLE EAST: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 180 SAUDI ARABIA: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 181 SAUDI ARABIA: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 182 UAE: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 183 UAE: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 184 QATAR: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 185 QATAR: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 186 TURKEY: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 187 TURKEY: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 188 REST OF MIDDLE EAST: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 189 REST OF MIDDLE EAST: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 190 AFRICA: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 191 AFRICA: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 192 LATIN AMERICA: AI AS A SERVICE MARKET, BY PRODUCT TYPE, 2019–2023 (USD MILLION)
  • TABLE 193 LATIN AMERICA: MARKET, BY PRODUCT TYPE, 2024–2029 (USD MILLION)
  • TABLE 194 LATIN AMERICA: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 195 LATIN AMERICA: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 196 LATIN AMERICA: MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)
  • TABLE 197 LATIN AMERICA: MARKET, BY BUSINESS FUNCTION, 2024–2029 (USD MILLION)
  • TABLE 198 LATIN AMERICA: MARKET, BY SERVICE TYPE, 2019–2023 (USD MILLION)
  • TABLE 199 LATIN AMERICA: MARKET, BY SERVICE TYPE, 2024–2029 (USD MILLION)
  • TABLE 200 LATIN AMERICA: MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 201 LATIN AMERICA: MARKET, BY END USER, 2024–2029 (USD MILLION)
  • TABLE 202 LATIN AMERICA: MARKET, BY ENTERPRISE, 2019–2023 (USD MILLION)
  • TABLE 203 LATIN AMERICA: MARKET, BY ENTERPRISE, 2024–2029 (USD MILLION)
  • TABLE 204 LATIN AMERICA: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 205 LATIN AMERICA: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
  • TABLE 206 BRAZIL: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 207 BRAZIL: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 208 MEXICO: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 209 MEXICO: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 210 ARGENTINA: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 211 ARGENTINA: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 212 REST OF LATIN AMERICA: MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 213 REST OF LATIN AMERICA: MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 214 OVERVIEW OF STRATEGIES ADOPTED BY KEY AIaaS VENDORS
  • TABLE 215 MARKET: DEGREE OF COMPETITION
  • TABLE 216 REGION FOOTPRINT (19 COMPANIES)
  • TABLE 217 BUSINESS FUNCTION FOOTPRINT (19 COMPANIES)
  • TABLE 218 PRODUCT TYPE FOOTPRINT (19 COMPANIES)
  • TABLE 219 END USER FOOTPRINT (19 COMPANIES)
  • TABLE 220 MARKET: DETAILED LIST OF KEY STARTUPS/SMES
  • TABLE 221 MARKET: COMPETITIVE BENCHMARKING OF STARTUPS/SMES
  • TABLE 222 MARKET: PRODUCT LAUNCHES AND ENHANCEMENTS, JANUARY 2021–SEPTEMBER 2024
  • TABLE 223 MARKET: DEALS, JANUARY 2021–SEPTEMBER 2024
  • TABLE 224 MICROSOFT: COMPANY OVERVIEW
  • TABLE 225 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 226 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 227 MICROSOFT: DEALS
  • TABLE 228 IBM: COMPANY OVERVIEW
  • TABLE 229 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 230 IBM: PRODUCT ENHANCEMENTS
  • TABLE 231 IBM: DEALS
  • TABLE 232 SAP: COMPANY OVERVIEW
  • TABLE 233 SAP: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 234 SAP: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 235 SAP: DEALS
  • TABLE 236 AWS: COMPANY OVERVIEW
  • TABLE 237 AWS: SOLUTIONS/SERVICES OFFERED
  • TABLE 238 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 239 AWS: DEALS
  • TABLE 240 GOOGLE: COMPANY OVERVIEW
  • TABLE 241 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 242 GOOGLE: PRODUCT ENHANCEMENTS
  • TABLE 243 GOOGLE: DEALS
  • TABLE 244 SALESFORCE: COMPANY OVERVIEW
  • TABLE 245 SALESFORCE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 246 SALESFORCE: PRODUCT ENHANCEMENTS
  • TABLE 247 SALESFORCE: DEALS
  • TABLE 248 ORACLE: COMPANY OVERVIEW
  • TABLE 249 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 250 ORACLE: PRODUCT ENHANCEMENTS
  • TABLE 251 ORACLE: DEALS
  • TABLE 252 NVIDIA: COMPANY OVERVIEW
  • TABLE 253 NVIDIA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 254 NVIDIA: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 255 NVIDIA: DEALS
  • TABLE 256 FICO: COMPANY OVERVIEW
  • TABLE 257 FICO: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 258 FICO: PRODUCT ENHANCEMENTS
  • TABLE 259 FICO: DEALS
  • TABLE 260 CLOUDERA: COMPANY OVERVIEW
  • TABLE 261 CLOUDERA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 262 CLOUDERA: PRODUCT ENHANCEMENTS
  • TABLE 263 CLOUDERA: DEALS
  • TABLE 264 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD BILLION)
  • TABLE 265 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD BILLION)
  • TABLE 266 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2019–2023 (USD BILLION)
  • TABLE 267 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2024–2030 (USD BILLION)
  • TABLE 268 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD BILLION)
  • TABLE 269 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2024–2030 (USD BILLION)
  • TABLE 270 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2019–2023 (USD BILLION)
  • TABLE 271 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2024–2030 (USD BILLION)
  • TABLE 272 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD BILLION)
  • TABLE 273 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD BILLION)
  • TABLE 274 GENERATIVE AI MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 275 GENERATIVE AI MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 276 GENERATIVE AI MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 277 GENERATIVE AI MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 278 GENERATIVE AI MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 279 GENERATIVE AI MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
  • TABLE 280 GENERATIVE AI MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 281 GENERATIVE AI MARKET, BY REGION, 2024–2030 (USD MILLION)
LIST OF FIGURES
 
  • FIGURE 1 MARKET: RESEARCH DESIGN
  • FIGURE 2 DATA TRIANGULATION
  • FIGURE 3 MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
  • FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 1, BOTTOM UP (SUPPLY SIDE): REVENUE FROM PRODUCT TYPES OF MARKET
  • FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 2, BOTTOM UP (SUPPLY SIDE): COLLECTIVE REVENUE FROM ALL PRODUCT TYPES OF MARKET
  • FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 3, BOTTOM UP (SUPPLY SIDE): COLLECTIVE REVENUE FROM ALL PRODUCT TYPES OF MARKET
  • FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 4, BOTTOM UP (DEMAND SIDE): SHARE OF AI AS A SERVICE THROUGH OVERALL AI SPENDING
  • FIGURE 8 MACHINE LEARNING FRAMEWORK SEGMENT TO HOLD LARGEST MARKET SIZE IN 2024
  • FIGURE 9 SALES TO BE LEADING SEGMENT IN 2024
  • FIGURE 10 SMALL & MEDIUM-SIZED ENTERPRISES TO BE FASTER-GROWING DURING FORECAST PERIOD
  • FIGURE 11 MACHINE LEARNING AS A SERVICE SEGMENT TO HOLD LARGEST MARKET IN 2024
  • FIGURE 12 ENTERPRISES SEGMENT SET TO REGISTER LARGER MARKET SHARE IN 2024
  • FIGURE 13 HEALTHCARE & LIFE SCIENCES TO WITNESS HIGHEST GROWTH RATE DURING FORECAST PERIOD
  • FIGURE 14 ASIA PACIFIC TO REGISTER FASTEST GROWTH BETWEEN 2024 AND 2029
  • FIGURE 15 RISE OF PRE-TRAINED AI MODELS AND GROWING DEMAND FOR AI-ENHANCED CYBERSECURITY SOLUTIONS TO DRIVE MARKET GROWTH
  • FIGURE 16 GENERATIVE AIaaS SEGMENT TO ACCOUNT FOR HIGHEST GROWTH RATE DURING FORECAST PERIOD
  • FIGURE 17 MACHINE LEARNING FRAMEWORKS AND BFSI TO BE LARGEST SHAREHOLDERS IN NORTH AMERICA MARKET IN 2024
  • FIGURE 18 NORTH AMERICA TO HOLD LARGEST MARKET SHARE IN 2024
  • FIGURE 19 MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
  • FIGURE 20 DATA CENTERS PROJECTED TO REPRESENT 13% OF GLOBAL ANNUAL ELECTRICITY CONSUMPTION AND 6% OF CARBON FOOTPRINT BY 2030
  • FIGURE 21 MARKET POTENTIAL OF GENERATIVE AI IN ENHANCING AIaaS ACROSS INDUSTRIES
  • FIGURE 22 EVOLUTION OF MARKET
  • FIGURE 23 KEY PLAYERS IN MARKET ECOSYSTEM
  • FIGURE 24 MARKET: SUPPLY CHAIN ANALYSIS
  • FIGURE 25 AI EQUITY FUNDING (BILLION) AND DEALS, 2019–2024
  • FIGURE 26 LEADING AIaaS VENDORS, BY FUNDING VALUE (BILLION) AND FUNDING ROUND, 2015–2024
  • FIGURE 27 KEY ARCHITECTURAL COMPONENTS OF AIAAS
  • FIGURE 28 NUMBER OF PATENTS GRANTED FOR MARKET, 2015–2024
  • FIGURE 29 REGIONAL ANALYSIS OF PATENTS GRANTED, 2015–2024
  • FIGURE 30 AVERAGE SELLING PRICES OF KEY PLAYERS FOR TOP 3 SERVICE TYPES
  • FIGURE 31 MARKET: PORTER’S FIVE FORCES ANALYSIS
  • FIGURE 32 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • FIGURE 33 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END USERS
  • FIGURE 34 KEY BUYING CRITERIA FOR TOP THREE END USERS
  • FIGURE 35 NO-CODE OR LOW-CODE ML TOOLS TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 36 GENERATIVE AI AS A SERVICE SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 37 OPERATIONS & SUPPLY CHAIN SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 38 SMES SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 39 INDIVIDUAL USERS SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 40 HEALTHCARE & LIFE SCIENCES SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 41 ASIA PACIFIC TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 42 INDIA TO REGISTER HIGHEST GROWTH RATE IN MARKET DURING FORECAST PERIOD
  • FIGURE 43 NORTH AMERICA: MARKET SNAPSHOT
  • FIGURE 44 ASIA PACIFIC: MARKET SNAPSHOT
  • FIGURE 45 TOP 5 PUBLIC PLAYERS HAVE DOMINATED MARKET FOR LAST 5 YEARS
  • FIGURE 46 SHARE OF LEADING COMPANIES IN MARKET, 2023
  • FIGURE 47 PRODUCT COMPARATIVE ANALYSIS, BY AIaaS
  • FIGURE 48 COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS
  • FIGURE 49 YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND 5-YEAR STOCK BETA OF KEY VENDORS
  • FIGURE 50 MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS), 2023
  • FIGURE 51 COMPANY FOOTPRINT (19 COMPANIES)
  • FIGURE 52 AI AS A SERVICE MARKET: COMPANY EVALUATION MATRIX (STARTUPS/SMES), 2023
  • FIGURE 53 MICROSOFT: COMPANY SNAPSHOT
  • FIGURE 54 IBM: COMPANY SNAPSHOT
  • FIGURE 55 SAP: COMPANY SNAPSHOT
  • FIGURE 56 AWS: COMPANY SNAPSHOT
  • FIGURE 57 GOOGLE: COMPANY SNAPSHOT
  • FIGURE 58 SALESFORCE: COMPANY SNAPSHOT
  • FIGURE 59 ORACLE: COMPANY SNAPSHOT
  • FIGURE 60 NVIDIA: COMPANY SNAPSHOT
  • FIGURE 61 FICO: COMPANY SNAPSHOT

 

The research study for AI as a Service market involved extensive secondary sources, directories, journals, and paid databases. Primary sources were mainly industry experts from the core and related industries, preferred AI as a Service 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

In the secondary research process, various sources were referred to for identifying and collecting information for the study. The 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 IoT conferences and related magazines. Additionally, the AI as a Service spending of various countries was extracted from respective sources. Secondary research was used to obtain key information about the industry’s value chain and supply chain to identify key players by solution, service, market classification, and segmentation according to the offerings of major players and industry trends related to solutions, applications, 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 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 AI as a Service expertise; related key executives from AI as a Service solution vendors, SIs, managed 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 in understanding various trends related to technologies, applications, service types, product types, end users, 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 AI as a Service solutions, were interviewed to understand the buyer’s perspective on suppliers, products, service providers, and their current usage of AI as a Service, which would impact the overall market.

AI as a Service Market Size, and Share

Note: Tier 1 companies account for 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
Source: MarketsandMarkets Analysis

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Market Size Estimation

Multiple approaches were adopted for estimating and forecasting the AI as a Service market. The first approach involves estimating the market size by summation of companies’ revenue generated through the sale of 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 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 breadth of solutions according to product type, business functions, organization size, service type, and end user. 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 AI as a Service solutions and services 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 AI as a Service solutions among industries, along with different use cases with respect to their regions, was identified and extrapolated. Weightage was given to use cases identified in different regions 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 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 AI as a Service providers, and organic and inorganic business development activities of regional and global players were estimated. With the data triangulation procedure and data validation through primary interviews, the exact values of the overall market size and segments’ size were determined and confirmed using the study.

AI as a Service Market : Top-Down and Bottom-Up Approach

AI as a Service 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

AI as a Service (AIaaS) is a cloud-based solution offered by third-party providers, enabling businesses and individual users to integrate AI-powered capabilities, such as machine learning, natural language processing, and computer vision, into their systems without the need for significant upfront investments in infrastructure or expertise. These AI tools, hosted in the cloud and accessible over the internet, allow for on-demand scalability and flexibility, making AI more accessible to a wide range of users. AIaaS provides a low-risk, cost-effective approach for enterprises to automate processes, enhance decision-making, and drive operational efficiency, while also catering to individual users for personal or smaller-scale AI applications.

Stakeholders

  • AI as a Service software providers
  • Cybersecurity firms
  • Business analysts
  • Cloud service providers
  • Consulting service providers
  • Enterprise end-users
  • Distributors and value-added resellers (VARs)
  • Government agencies
  • Independent software Vendors (ISV)
  • Managed service providers
  • Market research and consulting firms
  • Support & maintenance service providers
  • System Integrators (SIs)/migration service providers
  • Technology providers

Report Objectives

  • To provide detailed information related to major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growth
  • To analyze the micro markets with respect to individual growth trends, prospects, and their contribution to the total market
  • To analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the market
  • 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 for five main regions: North America, Europe, Asia Pacific, the Middle East & Africa, and Latin America
  • To profile the key players and comprehensively analyze their market ranking and core competencies
  • To analyze competitive developments, such as partnerships, product launches, and mergers and acquisitions, in the AI as a Service market

Available Customizations

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

Product analysis

  • Product quadrant, which gives a detailed comparison of the product portfolio of each company.

Geographic analysis

  • Further breakup of the North American market
  • Further breakup of the European market
  • Further breakup of the Asia Pacific market
  • Further breakup of the Middle Eastern & African market
  • Further breakup of the Latin American AI as a Service market

Company information

  • Detailed analysis and profiling of additional market players (up to five)

 

Previous Versions of this Report

AI as a Service Market by Product Type (Chatbots, ML Framework, API, No Code/Low Code ML Tools), Service Type (Machine Learning as a Service, Natural Language Processing as a Service (Text to Speech), Generative AI as a Service) - Global Forecast to 2029

Report Code TC 6185
Published in Oct, 2024, By MarketsandMarkets™

AI as a Service Market by Offering (SaaS, PaaS, IaaS), Technology (Machine Learning, Natural Language Processing, Context Awareness, Computer Vision), Cloud Type (Public, Private, Hybrid), Organization Size, Vertical and Region - Global Forecast to 2028

Report Code TC 6185
Published in Apr, 2023, By MarketsandMarkets™

AI as a Service Market by Offering (SaaS, PaaS, IaaS), Technology (Machine Learning, Natural Language Processing, Context Awareness, Computer Vision), Cloud Type (Public, Private, Hybrid), Organization Size, Vertical and Region - Global Forecast to 2028

Report Code TC 6185
Published in Apr, 2018, By MarketsandMarkets™

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