AI as a Service Market

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 Apr, 2023, by marketsandmarkets.com

Artificial Intelligence as a Service (AIaaS) Market - Size, Share & Forecast Analysis

[301 Pages Report] The global AI as a Service Market size was worth around $9.3 billion in 2023 and is anticipated to reach over $55.0 billion by the end of 2028, projecting a effective CAGR of 42.6% during the anticipated period (2023-2028). The base year considered for estimation is 2022 and the historical data spans from 2023 to 2028.

AI as a service refers to the delivery of artificial intelligence (AI) capabilities and tools via the cloud as a subscription-based service. Instead of building and maintaining their own AI infrastructure, organizations can leverage cloud-based AI services. AI as a service offerings typically include pre-built machine learning models, natural language processing tools, computer vision services, and other AI capabilities that can be easily integrated into applications or used to build new AI-powered applications.

AI as a Service Market

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AI as a Service Market

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AI as a Service Market Growth Dynamics

Driver: Growth in importance of data-driven decision-making in business

The significance of data-driven decision-making in businesses is increasing rapidly, and AIaaS plays a crucial role in this area. By leveraging machine learning algorithms, AIaaS solutions can identify patterns and trends in data that may not be identified manually, enabling end users to make faster and more informed decisions. The major industries such as finance, healthcare, and manufacturing are increasingly using these solutions, where timely decisions based on accurate data can have a significant impact on business outcomes. In addition, AIaaS solutions automate routine tasks and processes, freeing up end users to focus on higher-value activities such as strategic planning and analysis. This can lead to increased productivity, improved operational efficiency, and reduced costs. In this way, AIaaS provides end users with powerful new capabilities to help them make more informed decisions and stay ahead of the competition in a data-driven business environment.

Restraint: Lack of skilled employees

The primary issue that most organizations face while incorporating ML into their business processes is the lack of analytic talent. The dearth of deep analytic talent continues to be a concern for organizations. As a result, there is a rising demand for professionals who can monitor analytical content. Recruiting and retaining technical resources has become a significant focus for many enterprises. There are not enough skilled people to develop and execute analytics projects that involve complex techniques, such as ML. Data scientists are considered the most skilled analytic professionals with in-depth knowledge of computer science, mathematics, and domain expertise. However, experienced data scientists command high price tags and demand engaging projects, which in most cases is not feasible for SMEs and even large organizations. To stay competitive in the market, there is a rising need to adopt ML-enabled solutions. Thus, the scarcity of skilled employees is expected to be a significant restraint for the growth of the global AI as a Service market.

Opportunity: Increase in need for intelligent business applications

Owing to digitalization, IoT, and advancement in traditional technologies, there has been an increase in the amount of data generated in the past few years. Moreover, connected devices and smartphones linked to the internet are considered significant factors in generating a considerable amount of data. The data generated through these devices is growing at a faster pace. Similarly, applications that can analyze large volumes of data are also increasing significantly. These applications are expected to grow in the coming years. As data is becoming crucial in formulating various business strategies, end-users are concentrating more on the data analysis process. AI-powered solutions play a vital role in this process. For instance, Chatbots analyze large volumes of customer data and respond to customer queries. Thus, by deploying chatbots, various organizations can achieve benefits, such as business process automation and Return on Investment (ROI), to stay competitive in the market. Service providers such as Vital AI offer a framework for chatbots as well as intelligent assistants. Among the other service providers, Chatfuel provides a framework to build intelligent bots.

Challenge: Sensitivity involved with security of data

Owing to the introduction and expansion of new technologies, such as IoT, big data, and ML, there is intense market competition. These technologies have significantly contributed to the rise of end-points collecting data, thereby resulting in an increase in dynamic data that keeps changing/updating every second. For every organization that predicts customers’ behavior by analyzing the collected sets of data, maintaining data privacy is a huge security mandate. s related to data ownership and privacy of collected data retain potential risks to an individual’s identity. Government authorities impose various data security laws and regulations across various regions. Therefore, enterprises must stay up-to-date with the changing rules and data-related regulations. The enterprises are expected to implement the latest security measures to ensure the privacy of their collected data. Furthermore, in the case of outsourcing data analysis to a third-party Business Intelligence (BI) vendor, the organizations have to ensure that BI vendors secure firms’ data appropriately.

By technology, computer vision to register at the highest CAGR among technologies during the forecast period

In AI as a Service, computer vision is becoming increasingly accessible to businesses of all sizes. Computer vision is being used in a wide range of applications, from self-driving cars to medical imaging to surveillance systems. The computer vision technology is projected to grow at the highest CAGR during the forecast period. By leveraging cloud-based platforms, companies can easily upload and analyze large amounts of visual data and train machine learning models to perform complex tasks, such as object detection, image recognition, and video analysis. By using computer vision in AIaaS, businesses can gain valuable insights from visual data, improve operations, and enhance the customer experience. It enables companies to analyze large volumes of visual data in real-time, allowing them to make faster and more informed decisions.

By cloud type, public cloud to account for the largest market size during the forecast period

In AIaaS, public cloud providers offer a range of services, including machine learning, natural language processing, and computer vision, which can be used by organizations to build, train, and deploy AI models. Public cloud AIaaS solutions offer several benefits, including cost-effectiveness, scalability, and availability. Public cloud providers typically operate on a pay-as-you-go model, enabling organizations to pay only for the services they use. Public cloud platforms offer unlimited scalability, enabling organizations to quickly ramp up or down their AI workloads based on demand. Public cloud providers also have a global presence providing high availability to organizations worldwide.

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

North America is expected to have the largest market share in AI as a Service. North America has been a major contributor to the development and growth of the AI as a Service market. The region is home to several leading AI companies, including Google, Microsoft, IBM, and Amazon, which have been investing heavily in AI research and development. These companies have been providing AI services and tools to businesses and organizations of all sizes, enabling them to leverage the power of AI without having to invest in expensive hardware or software. North America has also been at the forefront of AI innovation, with many universities and research institutions in the region conducting groundbreaking research in the field. This has led to the development of new AI technologies and applications, further driving the growth of the AI as a Service market.

AI as a Service Market Size, and Share

Key Market Players

The AI as a Service vendors have implemented various types of organic and inorganic growth strategies, such as new product launches, product upgradations, partnerships and agreements, business expansions, and mergers and acquisitions to strengthen their offerings in the market. The major vendors in the global market for AI as a Service IBM (US), Microsoft (US), Google (US), AWS (US), FICO (US), SAS Institute (US), Baidu (China), SAP (Germany), Salesforce (US), Oracle (US), Iris.AI (US), Craft.AI (France), BigML (US), H2O.ai (US), Vital.ai (US), Fuzzy.ai (Canada), RainBird Technologies (UK), SiftScience (US) DataBricks (US), CenturySoft (India), DataRobot (US), Alibaba (China), Tencent (China), Dataiku (US), Yottamine Analytics (US), Tecnotree (Finland), Cloudera (US), and Meya.ai (KSA).

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Scope of the Report

Report Metrics

Details

Market size available for years

2017–2028

Base year considered

2022

Forecast period

2023–2028

Forecast units

USD Billion

Segments covered

Offering, Cloud Type, Technology, Organization Size, Vertical, and Region

Geographies covered

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

Companies covered

IBM (US), Microsoft (US), Google (US), AWS (US), FICO (US), SAS Institute (US), Baidu (China), SAP (Germany), Salesforce (US), Oracle (US), Iris.AI (US), Craft.AI (France), BigML (US), H2O.ai (US), Vital.ai (US), Fuzzy.ai (Canada), RainBird Technologies (UK), SiftScience (US) DataBricks (US), CenturySoft (India), DataRobot (US), Alibaba (China), Tencent (China), Dataiku (US), Yottamine Analytics (US), Tecnotree (Finland), Cloudera (US), and Meya.ai (KSA)

This research report categorizes the AI as a Service Market based on Offering, Cloud Type, Technology, Organization Size, Vertical, and Region.

By Technology:
  • Machine Learning
  • Natural Language Processing
  • Context Awareness
  • Computer Visison
By Cloud Type:
  • Public Cloud
  • Hybrid Cloud
  • Private Cloud
By Organization Size:
  • Small & Medium-Sized Enterprises
  • Large Enterprises
By Offering:
By Vertical:
  • Banking, financial services, and insurance
  • Retail & eCommerce
  • Healthcare & life sciences
  • IT & ITeS
  • Telecommunications
  • Government & defense
  • Manufacturing
  • Energy & utilities
  • Other Verticals
By Region:
  • North America
    • US
    • Canada
  • Europe
    • UK
    • Germany
    • France
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia & New Zealand
    • ASEAN
    • Rest of Asia Pacific
  • Middle East & Africa
    • UAE
    • Kingdom of Saudi Arabia
    • Israel
    • Turkey
    • South Africa
    • Rest of the Middle East & Africa
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America

Recent Developments:

  • In March 2023, Google Cloud introduced Generative AI support in Vertex AI that allows data science teams access to foundation models from Google and others, enables them build and customize atop these models on the same platform they use for homegrown ML models and MLops.
  • In March 2023, Salesforce launched Einstein GPT, a generative AI CRM technology, which delivered AI-created content across every sale, service, marketing, commerce, and IT interaction at a hyper-scale.
  • In January 2023, Microsoft extended its partnership with OpenAI to accelerate AI breakthroughs to ensure these benefits were broadly shared with the world.
  • In December 2022, IBM announced the acquisition of Databand.ai, a leading provider of data observability software that helped organizations fix issues with their data, including errors, pipeline failures, and poor quality, before it impacted their bottom line.
  • In May 2022, FICO introduced new and enhanced capabilities to the FICO Platform. The new capabilities would empower businesses to organize their data, apply the latest in machine learning and analytics to generate new insights, take proactive action, and drive meaningful business outcomes.

Frequently Asked Questions (FAQ):

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TABLE OF CONTENTS
 
1 INTRODUCTION (Page No. - 30)
    1.1 STUDY OBJECTIVES 
    1.2 MARKET DEFINITION 
    1.3 INCLUSIONS AND EXCLUSIONS 
    1.4 MARKET SCOPE 
           1.4.1 MARKET SEGMENTATION
           1.4.2 REGIONS COVERED
           1.4.3 YEARS CONSIDERED
    1.5 CURRENCY CONSIDERED 
           TABLE 1 USD EXCHANGE RATES, 2020–2022
    1.6 STAKEHOLDERS 
    1.7 SUMMARY OF CHANGES 
           1.7.1 IMPACT OF RECESSION
 
2 RESEARCH METHODOLOGY (Page No. - 36)
    2.1 RESEARCH DATA 
           FIGURE 1 AI AS A SERVICE MARKET: RESEARCH DESIGN
           2.1.1 SECONDARY DATA
           2.1.2 PRIMARY DATA
                    2.1.2.1 Primary interviews
                    2.1.2.2 Breakup of primary profiles
                    2.1.2.3 Key industry insights
    2.2 DATA TRIANGULATION 
    2.3 MARKET SIZE ESTIMATION 
           FIGURE 2 MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
           2.3.1 TOP-DOWN APPROACH
           2.3.2 BOTTOM-UP APPROACH
                    FIGURE 3 APPROACH 1 (SUPPLY SIDE): REVENUE FROM OFFERING OF AI AS A SERVICE MARKET
                    FIGURE 4 APPROACH 2—BOTTOM-UP (SUPPLY SIDE): COLLECTIVE REVENUE FROM OFFERING OF AI AS A SERVICE PLAYERS
                    FIGURE 5 APPROACH 3—BOTTOM-UP (SUPPLY SIDE): REVENUE AND SUBSEQUENT MARKET ESTIMATION FROM OFFERING OF AI AS A SERVICE
                    FIGURE 6 APPROACH 4—BOTTOM-UP (DEMAND SIDE): SHARE OF AI AS A SERVICE OFFERING THROUGH OVERALL AI AS A SERVICE SPENDING
    2.4 MARKET FORECAST 
           TABLE 2 FACTOR ANALYSIS
    2.5 ASSUMPTIONS 
    2.6 LIMITATIONS 
    2.7 IMPACT OF RECESSION ON GLOBAL MARKET 
           TABLE 3 IMPACT OF RECESSION ON GLOBAL MARKET
 
3 EXECUTIVE SUMMARY (Page No. - 49)
    TABLE 4 AI AS A SERVICE MARKET SIZE AND GROWTH RATE, 2017–2022 (USD MILLION, Y-O-Y GROWTH) 
    TABLE 5 MARKET SIZE AND GROWTH RATE, 2023–2028 (USD MILLION, Y-O-Y GROWTH) 
    FIGURE 7 IAAS TO ACCOUNT FOR LARGER MARKET SIZE IN 2023 (USD MILLION) 
    FIGURE 8 MACHINE LEARNING TO ACCOUNT FOR LARGEST MARKET IN 2023 
    FIGURE 9 SUPERVISED LEARNING TO BE LARGEST MACHINE LEARNING MARKET IN 2023 
    FIGURE 10 PUBLIC CLOUD TO ACCOUNT FOR HIGHER IMPLEMENTATION IN 2023 
    FIGURE 11 LARGE ENTERPRISES SEGMENT TO BE LARGER USERS IN MARKET IN 2023 
    FIGURE 12 BFSI TO BE LARGEST VERTICAL MARKET IN 2023 
    FIGURE 13 NORTH AMERICA TO ACCOUNT FOR LARGEST MARKET SHARE IN 2023 
 
4 PREMIUM INSIGHTS (Page No. - 54)
    4.1 ATTRACTIVE MARKET OPPORTUNITIES FOR AI AS A SERVICE MARKET PLAYERS 
           FIGURE 14 HIGH DEMAND FOR PLATFORM TRANSFERRING DATA FROM ON-PREMISES TO CLOUD TO DRIVE MARKET
    4.2 OVERVIEW OF RECESSION IN GLOBAL MARKET 
           FIGURE 15 MARKET TO WITNESS MINOR DECLINE IN Y-O-Y GROWTH IN 2023
    4.3 MARKET, BY VERTICAL 
           FIGURE 16 HEALTHCARE AND LIFE SCIENCES VERTICAL TO BE FASTEST-GROWING MARKET DURING FORECAST PERIOD
    4.4 MARKET, BY REGION 
           FIGURE 17 NORTH AMERICA TO ACCOUNT FOR LARGEST MARKET SHARE BY 2028
    4.5 MARKET: TOP COMPONENT AND VERTICALS 
           FIGURE 18 OFFERING AND BFSI TO ACCOUNT FOR LARGEST RESPECTIVE MARKET SHARES BY 2028
 
5 MARKET OVERVIEW (Page No. - 57)
    5.1 INTRODUCTION 
    5.2 MARKET DYNAMICS 
           FIGURE 19 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: AI AS A SERVICE MARKET
           5.2.1 DRIVERS
                    5.2.1.1 Growth in importance of data-driven decision-making in business
                    5.2.1.2 Increase in need to provide enhanced customer experience and gain competitive advantage
                    5.2.1.3 Rise in demand for AI-powered services in API and SDK forms
           5.2.2 RESTRAINTS
                    5.2.2.1 Lack of skilled employees
           5.2.3 OPPORTUNITIES
                    5.2.3.1 Increase in need for intelligent business applications
                    5.2.3.2 Growth in demand for AI service integrators
           5.2.4 CHALLENGES
                    5.2.4.1 Sensitivity involved with security of data
 
6 INDUSTRY TRENDS (Page No. - 61)
    6.1 BRIEF HISTORY OF AI AS A SERVICE 
    6.2 VALUE CHAIN ANALYSIS 
           FIGURE 20 AI AS A SERVICE MARKET: VALUE CHAIN ANALYSIS
           6.2.1 DATA COLLECTION & PREPARATION
           6.2.2 ALGORITHM DEVELOPMENT
           6.2.3 MODEL TRAINING
           6.2.4 MODEL TESTING & VALIDATION
           6.2.5 DEPLOYMENT & INTEGRATION
           6.2.6 MAINTENANCE & SUPPORT
    6.3 ECOSYSTEM MAPPING 
           TABLE 6 MARKET: CLOUD PROVIDERS
           TABLE 7 MARKET: PLATFORM PROVIDERS
           TABLE 8 MARKET: AI SERVICE PROVIDERS
           TABLE 9 MARKET: DATA PROVIDERS
           TABLE 10 MARKET: BUSINESS APPLICATIONS
           TABLE 11 AI AS A SERVICE MARKET: REGULATORY BODIES
           FIGURE 21 AI AS A SERVICE ECOSYSTEM
    6.4 CASE STUDY ANALYSIS 
           TABLE 12 GOVERNMENT & DEFENSE: MICROSOFT AZURE AIAAS EMPOWERS ALASKA AIRLINES TO OPTIMIZE ON-TIME PERFORMANCE WITH PREDICTIVE MAINTENANCE
           TABLE 13 BFSI: IMPROVING CUSTOMER SERVICE AND FRAUD DETECTION WITH IBM AIAAS
           TABLE 14 HEALTHCARE: TRANSFORMING PATIENT CARE AND ENGAGEMENT WITH GOOGLE AIAAS
           TABLE 15 RETAIL: AWS AIAAS IMPROVING PRODUCT OFFERINGS, PRICING STRATEGIES, AND MARKETING CAMPAIGNS
           TABLE 16 MANUFACTURING: OPTIMIZING PRODUCTION PROCESSES WITH BAIDU AIAAS
           TABLE 17 IT/ITES: AUTOMATING SUPPORT REQUEST TRIAGE WITH SALESFORCE AIAAS
    6.5 TECHNOLOGY ANALYSIS 
           6.5.1 RELATED TECHNOLOGY
                    6.5.1.1 Machine learning
                    6.5.1.2 Big data
                    6.5.1.3 Natural language processing
                    6.5.1.4 Cloud computing
           6.5.2 ALLIED TECHNOLOGIES
                    6.5.2.1 Edge computing
                    6.5.2.2 IoT
                    6.5.2.3 Blockchain
    6.6 PORTER’S FIVE FORCES MODEL 
           TABLE 18 AI AS A SERVICE MARKET: PORTER’S FIVE FORCES MODEL
           6.6.1 THREAT OF NEW ENTRANTS
           6.6.2 THREAT OF SUBSTITUTES
           6.6.3 BARGAINING POWER OF BUYERS
           6.6.4 BARGAINING POWER OF SUPPLIERS
           6.6.5 INTENSITY OF COMPETITIVE RIVALRY
    6.7 PATENT ANALYSIS 
           6.7.1 METHODOLOGY
           6.7.2 DOCUMENT TYPES
                    TABLE 19 PATENTS FILED, 2019–2022
           6.7.3 INNOVATION & PATENT APPLICATIONS
                    FIGURE 22 NUMBER OF PATENTS GRANTED ANNUALLY, 2019–2022
                    6.7.3.1 Top applicants
                               FIGURE 23 TOP 10 AI AS A SERVICE PATENT APPLICANTS, 2019–2022
                               TABLE 20 LIST OF PATENTS IN AI AS A SERVICE MARKET, 2021–2023
    6.8 PRICING ANALYSIS 
           TABLE 21 PRICING ANALYSIS
    6.9 KEY STAKEHOLDERS AND BUYING CRITERIA 
           6.9.1 KEY STAKEHOLDERS IN BUYING PROCESS
                    FIGURE 24 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS
                    TABLE 22 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS
           6.9.2 BUYING CRITERIA
                    FIGURE 25 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
                    TABLE 23 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
    6.10 DISRUPTIONS IMPACTING BUYERS/CLIENTS IN MARKET 
           FIGURE 26 MARKET: DISRUPTIONS IMPACTING BUYERS/CLIENTS
    6.11 KEY CONFERENCES & EVENTS 
                    TABLE 24 AI AS A SERVICE MARKET: DETAILED LIST OF CONFERENCES AND EVENTS, 2023–2024
    6.12 REGULATORY LANDSCAPE 
           6.12.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 25 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 26 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 27 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 28 ROW: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    6.12.1.1 North America
                               6.12.1.1.1 US
                               6.12.1.1.2 Canada
                    6.12.1.2 Europe
                    6.12.1.3 Asia Pacific
                               6.12.1.3.1 South Korea
                               6.12.1.3.2 China
                               6.12.1.3.3 India
                    6.12.1.4 Middle East & Africa
                               6.12.1.4.1 UAE
                               6.12.1.4.2 KSA
                               6.12.1.4.3 Bahrain
                    6.12.1.5 Latin America
                               6.12.1.5.1 Brazil
                               6.12.1.5.2 Mexico
    6.13 AI AS A SERVICE-BASED APPLICATION IN DATA CENTERS 
                    TABLE 29 AI AS A SERVICE-BASED APPLICATION IN DATA CENTERS
    6.14 AI AS A SERVICE USE CASES 
           6.14.1 DATA PREPARATION & MANAGEMENT
                    TABLE 30 DATA PREPARATION & MANAGEMENT USE CASES
                    6.14.1.1 Model development, training, and tuning
                               TABLE 31 MODEL DEVELOPMENT, TRAINING, AND TUNING USE CASES
                    6.14.1.2 Model deployment & management
                               TABLE 32 MODEL DEPLOYMENT & MANAGEMENT USE CASES
                    6.14.1.3 Customization & integration
                               TABLE 33 CUSTOMIZATION & INTEGRATION USE CASES
                    6.14.1.4 Data collection & annotation
                               TABLE 34 DATA COLLECTION & ANNOTATION USE CASES
                    6.14.1.5 Analytics & monitoring
                               TABLE 35 ANALYTICS & MONITORING USE CASES
    6.15 FUTURE DIRECTIONS OF AI AS A SERVICE MARKET LANDSCAPE 
                    TABLE 36 SHORT-TERM ROADMAP, 2023–2025
                    TABLE 37 MID-TERM ROADMAP, 2026–2028
                    TABLE 38 LONG-TERM ROADMAP, 2029–2030
 
7 AI AS A SERVICE MARKET, BY OFFERING (Page No. - 98)
    7.1 INTRODUCTION 
           7.1.1 OFFERING: MARKET DRIVERS
                    FIGURE 27 MARKET FOR OFFERING TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
                    TABLE 39 MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                    TABLE 40 MARKET, BY OFFERING, 2023–2028 (USD MILLION)
    7.2 INFRASTRUCTURE AS A SERVICE 
           7.2.1 FLEXIBILITY TO SCALE UP OR DOWN OFFERED BASED ON AI WORKLOADS
                    TABLE 41 INFRASTRUCTURE AS A SERVICE MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 42 INFRASTRUCTURE AS A SERVICE MARKET, BY REGION, 2023–2028 (USD MILLION)
    7.3 PLATFORM AS A SERVICE 
           7.3.1 ACCELERATING AI APPLICATION DEVELOPMENT AND DEPLOYMENT WITH PAAS
                    TABLE 43 PLATFORM AS A SERVICE MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 44 PLATFORM AS A SERVICE MARKET, BY REGION, 2023–2028 (USD MILLION)
    7.4 SOFTWARE AS A SERVICE 
           7.4.1 EASY ACCESS AND ADOPTION OF AI TECHNOLOGY FOR BUSINESSES
                    TABLE 45 SOFTWARE AS A SERVICE MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 46 SOFTWARE AS A SERVICE MARKET, BY REGION, 2023–2028 (USD MILLION)
 
8 AI AS A SERVICE MARKET, BY TECHNOLOGY (Page No. - 104)
    8.1 INTRODUCTION 
           8.1.1 TECHNOLOGY: MARKET DRIVERS
                    FIGURE 28 COMPUTER VISION TO WITNESS HIGHER CAGR DURING FORECAST PERIOD
                    TABLE 47 MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
                    TABLE 48 MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
    8.2 MACHINE LEARNING 
           8.2.1 EMPOWERING BUSINESSES BY AUTOMATING PROCESSES, ANALYZING DATA, AND MAKING PREDICTIONS
                    FIGURE 29 SUPERVISED LEARNING TO BE LARGEST MARKET DURING FORECAST PERIOD
                    TABLE 49 MARKET, BY MACHINE LEARNING, 2017–2022 (USD MILLION)
                    TABLE 50 MARKET, BY MACHINE LEARNING, 2023–2028 (USD MILLION)
                    TABLE 51 MACHINE LEARNING: AI AS A SERVICE MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 52 MACHINE LEARNING: MARKET, BY REGION, 2023–2028 (USD MILLION)
           8.2.2 DEEP LEARNING
                    8.2.2.1 Deep learning to drive efficiency, innovation, and competitiveness
                               TABLE 53 DEEP LEARNING: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 54 DEEP LEARNING: MARKET, BY REGION, 2023–2028 (USD MILLION)
           8.2.3 SUPERVISED LEARNING
                    8.2.3.1 Supervised learning to empower business decision-making
                               TABLE 55 SUPERVISED LEARNING: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 56 SUPERVISED LEARNING: MARKET, BY REGION, 2023–2028 (USD MILLION)
           8.2.4 UNSUPERVISED LEARNING
                    8.2.4.1 Increase in use of predictive analytics in project management to boost profitability and competitiveness
                               TABLE 57 UNSUPERVISED LEARNING: MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 58 UNSUPERVISED LEARNING: MARKET, BY REGION, 2023–2028 (USD MILLION)
           8.2.5 REINFORCEMENT LEARNING
                    8.2.5.1 Employing speech recognition to reduce time and effort
                               TABLE 59 REINFORCEMENT LEARNING: AI AS A SERVICE MARKET, BY REGION, 2017–2022 (USD MILLION)
                               TABLE 60 REINFORCEMENT LEARNING: MARKET, BY REGION, 2023–2028 (USD MILLION)
           8.2.6 OTHER MACHINE LEARNING TECHNOLOGIES
                    TABLE 61 OTHER MACHINE LEARNING TECHNOLOGIES: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 62 OTHER MACHINE LEARNING TECHNOLOGIES: MARKET, BY REGION, 2023–2028 (USD MILLION)
    8.3 NATURAL LANGUAGE PROCESSING 
           8.3.1 NLP UTILIZED TO ENHANCE LANGUAGE PROCESSING CAPABILITIES
                    TABLE 63 NATURAL LANGUAGE PROCESSING: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 64 NATURAL LANGUAGE PROCESSING: MARKET, BY REGION, 2023–2028 (USD MILLION)
    8.4 CONTEXT AWARENESS 
           8.4.1 CONTEXT AWARENESS USED TO PROVIDE PERSONALIZED USER EXPERIENCES
                    TABLE 65 CONTEXT AWARENESS: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 66 CONTEXT AWARENESS: MARKET, BY REGION, 2023–2028 (USD MILLION)
    8.5 COMPUTER VISION 
           8.5.1 LEVERAGING AI TECHNOLOGY BY INTEGRATING COMPUTER VISION INTO BUSINESSES
                    TABLE 67 COMPUTER VISION: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 68 COMPUTER VISION: MARKET, BY REGION, 2023–2028 (USD MILLION)
 
9 AI AS A SERVICE MARKET, BY CLOUD TYPE (Page No. - 118)
    9.1 INTRODUCTION 
           9.1.1 CLOUD TYPE: MARKET DRIVERS
                    FIGURE 30 PRIVATE CLOUD TO WITNESS HIGHER CAGR DURING FORECAST PERIOD
                    TABLE 69 MARKET, BY CLOUD TYPE, 2017–2022 (USD MILLION)
                    TABLE 70 MARKET, BY CLOUD TYPE, 2023–2028 (USD MILLION)
    9.2 PUBLIC CLOUD 
           9.2.1 COST-EFFECTIVE AND SCALABLE AI CAPABILITIES OF PUBLIC CLOUD
                    TABLE 71 PUBLIC CLOUD: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 72 PUBLIC CLOUD: MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.3 HYBRID CLOUD 
           9.3.1 ABILITY TO DEPLOY AI WORKLOADS ON BOTH PUBLIC AND PRIVATE INFRASTRUCTURES
                    TABLE 73 HYBRID CLOUD: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 74 HYBRID CLOUD: MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.4 PRIVATE CLOUD 
           9.4.1 HIGHER LEVELS OF SECURITY AND CONTROL IN PRIVATE CLOUD
                    TABLE 75 PRIVATE CLOUD: MARKET, BY REGION, 2017–2022 (USD MILLION)
                    TABLE 76 PRIVATE CLOUD: MARKET, BY REGION, 2023–2028 (USD MILLION)
 
10 AI AS A SERVICE MARKET, BY ORGANIZATION SIZE (Page No. - 124)
     10.1 INTRODUCTION 
             10.1.1 ORGANIZATION SIZE: MARKET DRIVERS
                       FIGURE 31 SMALL & MEDIUM-SIZED ENTERPRISES TO WITNESS HIGHER CAGR DURING FORECAST PERIOD
                       TABLE 77 MARKET, BY ORGANIZATION SIZE, 2017–2022 (USD MILLION)
                       TABLE 78 MARKET, BY ORGANIZATION SIZE, 2023–2028 (USD MILLION)
     10.2 SMALL & MEDIUM-SIZED ENTERPRISES 
             10.2.1 NEED TO LEVERAGE ADVANCED TECHNOLOGIES WITHOUT SIGNIFICANT UPFRONT INVESTMENTS
                       TABLE 79 SMALL & MEDIUM-SIZED ENTERPRISES: MARKET, BY REGION, 2017–2022 (USD MILLION)
                       TABLE 80 SMALL & MEDIUM-SIZED ENTERPRISES: MARKET, BY REGION, 2023–2028 (USD MILLION)
     10.3 LARGE ENTERPRISES 
             10.3.1 GROWING ADOPTION OF AIAAS TO IMPROVE EFFICIENCY AND GAIN COMPETITIVE ADVANTAGE
                       TABLE 81 LARGE ENTERPRISES: MARKET, BY REGION, 2017–2022 (USD MILLION)
                       TABLE 82 LARGE ENTERPRISES: MARKET, BY REGION, 2023–2028 (USD MILLION)
 
11 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL (Page No. - 129)
     11.1 INTRODUCTION 
             11.1.1 VERTICAL: MARKET DRIVERS
                       FIGURE 32 HEALTHCARE & LIFE SCIENCES TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
                       TABLE 83 MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                       TABLE 84 MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
     11.2 BANKING, FINANCIAL SERVICES, AND INSURANCE 
             11.2.1 DEMAND FOR ENHANCED CUSTOMER SERVICE
                       TABLE 85 MARKET IN BFSI VERTICAL, BY REGION, 2017–2022 (USD MILLION)
                       TABLE 86 MARKET IN BFSI VERTICAL, BY REGION, 2023–2028 (USD MILLION)
                       TABLE 87 MARKET IN BFSI VERTICAL, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 88 MARKET IN BFSI VERTICAL, BY APPLICATION, 2023–2028 (USD MILLION)
             11.2.2 ENHANCED CUSTOMER EXPERIENCE
             11.2.3 PREDICTION OF FUTURE OUTCOMES & TRENDS
             11.2.4 ROBOTIC AUTOMATION OF PROCESSES
             11.2.5 CREDIT DECISIONS
             11.2.6 FRAUD DETECTION & PREVENTION
             11.2.7 OTHER BFSI APPLICATIONS
     11.3 RETAIL & ECOMMERCE 
             11.3.1 AI HELPS UNDERSTAND CONSUMER BEHAVIOR, ALLOWING MARKETERS INFLUENCE BUYER DECISIONS
                       TABLE 89 AI AS A SERVICE MARKET IN RETAIL & ECOMMERCE VERTICAL, BY REGION, 2017–2022 (USD MILLION)
                       TABLE 90 MARKET IN RETAIL & ECOMMERCE VERTICAL, BY REGION, 2023–2028 (USD MILLION)
                       TABLE 91 MARKET IN RETAIL & ECOMMERCE VERTICAL, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 92 MARKET IN RETAIL & ECOMMERCE VERTICAL, BY APPLICATION, 2023–2028 (USD MILLION)
             11.3.2 PRODUCT RECOMMENDATION & PLANNING
             11.3.3 CUSTOMER RELATIONSHIP MANAGEMENT
             11.3.4 VISUAL SEARCH
             11.3.5 VIRTUAL ASSISTANT
             11.3.6 PRICE OPTIMIZATION
             11.3.7 PAYMENT SERVICES MANAGEMENT
             11.3.8 SUPPLY CHAIN MANAGEMENT & DEMAND PLANNING
             11.3.9 VIRTUAL STORES
               11.3.10 OTHER RETAIL & ECOMMERCE APPLICATIONS
     11.4 HEALTHCARE & LIFE SCIENCES 
             11.4.1 USE OF AI TO ACCELERATE GROWTH OF MEDICAL IMAGING & DIAGNOSTICS
                       TABLE 93 AI AS A SERVICE MARKET IN HEALTHCARE & LIFE SCIENCES VERTICAL, BY REGION, 2017–2022 (USD MILLION)
                       TABLE 94 MARKET IN HEALTHCARE & LIFE SCIENCES VERTICAL, BY REGION, 2023–2028 (USD MILLION)
                       TABLE 95 MARKET IN HEALTHCARE & LIFE SCIENCES VERTICAL, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 96 MARKET IN HEALTHCARE & LIFE SCIENCES VERTICAL, BY APPLICATION, 2023–2028 (USD MILLION)
             11.4.2 PATIENT DATA & RISK ANALYSIS
             11.4.3 LIFESTYLE MANAGEMENT & MONITORING
             11.4.4 PRECISION MEDICINE
             11.4.5 INPATIENT CARE & HOSPITAL MANAGEMENT
             11.4.6 MEDICAL IMAGING & DIAGNOSTICS
             11.4.7 DRUG DISCOVERY
             11.4.8 VIRTUAL ASSISTANT
             11.4.9 WEARABLES
               11.4.10 MEDICAL RESEARCH
               11.4.11 OTHER HEALTHCARE APPLICATIONS
     11.5 IT/ITES 
             11.5.1 RISE IN COMPLEXITY AND FAST INNOVATIONS TO MANAGE IT OPERATIONS EFFECTIVELY
                       TABLE 97 AI AS A SERVICE MARKET IN IT/ITES VERTICAL, BY REGION, 2017–2022 (USD MILLION)
                       TABLE 98 MARKET IN IT/ITES VERTICAL, BY REGION, 2023–2028 (USD MILLION)
                       TABLE 99 MARKET IN IT/ITES VERTICAL, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 100 MARKET IN IT/ITES VERTICAL, BY APPLICATION, 2023–2028 (USD MILLION)
             11.5.2 PREDICTIVE MAINTENANCE
             11.5.3 VIRTUAL ASSISTANTS FOR CUSTOMER SUPPORT
             11.5.4 OTHER IT/ITES APPLICATIONS
     11.6 TELECOMMUNICATION 
             11.6.1 ENHANCED CONTACT CENTER EFFECTIVENESS, REDUCED OPERATIONAL COSTS, AND IMPROVED SERVICES OF AI
                       TABLE 101 AI AS A SERVICE MARKET IN TELECOMMUNICATION VERTICAL, BY REGION, 2017–2022 (USD MILLION)
                       TABLE 102 MARKET IN TELECOMMUNICATION VERTICAL, BY REGION, 2023–2028 (USD MILLION)
                       TABLE 103 MARKET IN TELECOMMUNICATION VERTICAL, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 104 MARKET IN TELECOMMUNICATION VERTICAL, BY APPLICATION, 2023–2028 (USD MILLION)
             11.6.2 NETWORK OPTIMIZATION
             11.6.3 NETWORK ANOMALIES
             11.6.4 OTHER TELECOMMUNICATION APPLICATIONS
     11.7 GOVERNMENT & DEFENSE 
             11.7.1 ENDEAVOR TO SOLVE COMPLEX PROBLEMS AND ENHANCE DECISION-MAKING PROCESS
                       TABLE 105 MARKET IN GOVERNMENT & DEFENSE VERTICAL, BY REGION, 2017–2022 (USD MILLION)
                       TABLE 106 MARKET IN GOVERNMENT & DEFENSE VERTICAL, BY REGION, 2023–2028 (USD MILLION)
                       TABLE 107 MARKET IN GOVERNMENT & DEFENSE VERTICAL, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 108 MARKET IN GOVERNMENT & DEFENSE VERTICAL, BY APPLICATION, 2023–2028 (USD MILLION)
             11.7.2 CUSTOMER SERVICE CHATBOTS
             11.7.3 AUTONOMOUS DRONES
             11.7.4 SURVEILLANCE
             11.7.5 PREDICTING CRIMES & RECOMMENDING OPTIMAL POLICE PRESENCE
             11.7.6 IDENTIFYING FRAUDULENT BENEFITS CLAIMS
             11.7.7 OTHER GOVERNMENT & DEFENSE APPLICATIONS
     11.8 MANUFACTURING 
             11.8.1 NEED FOR ENHANCED PERFORMANCE AND REDUCED REDUNDANCIES IN MANUFACTURING
                       TABLE 109 AI AS A SERVICE MARKET IN MANUFACTURING VERTICAL, BY REGION, 2017–2022 (USD MILLION)
                       TABLE 110 MARKET IN MANUFACTURING VERTICAL, BY REGION, 2023–2028 (USD MILLION)
                       TABLE 111 MARKET IN MANUFACTURING VERTICAL, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 112 MARKET IN MANUFACTURING VERTICAL, BY APPLICATION, 2023–2028 (USD MILLION)
             11.8.2 MATERIAL MOVEMENTS
             11.8.3 PREDICTIVE MAINTENANCE & MACHINERY INSPECTION
             11.8.4 PRODUCTION PLANNING
             11.8.5 FIELD SERVICES
             11.8.6 RECLAMATION
             11.8.7 QUALITY CONTROL
             11.8.8 PRODUCTION LINE OPTIMIZATION
             11.8.9 OTHER MANUFACTURING APPLICATIONS
     11.9 ENERGY & UTILITIES 
             11.9.1 ADVANCED AI TECHNOLOGIES HELP BUILD ACCOUNTABLE, TRANSPARENT, FAIR, AND SECURE SYSTEMS
                       TABLE 113 AI AS A SERVICE MARKET IN ENERGY & UTILITIES VERTICAL, BY REGION, 2017–2022 (USD MILLION)
                       TABLE 114 MARKET IN ENERGY & UTILITIES VERTICAL, BY REGION, 2023–2028 (USD MILLION)
                       TABLE 115 MARKET IN ENERGY & UTILITIES VERTICAL, BY APPLICATION, 2017–2022 (USD MILLION)
                       TABLE 116 MARKET IN ENERGY & UTILITIES VERTICAL, BY APPLICATION, 2023–2028 (USD MILLION)
             11.9.2 ENERGY EFFICIENCY DECISION-MAKING
             11.9.3 FAULT PREDICTION
             11.9.4 ARTIFICIAL INTELLIGENCE IN POWER GRIDS - SMART GRIDS & SECTOR COUPLING
             11.9.5 ARTIFICIAL INTELLIGENCE IN ELECTRICITY TRADING
             11.9.6 ARTIFICIAL INTELLIGENCE IN VIRTUAL POWER PLANT
             11.9.7 ARTIFICIAL INTELLIGENCE IN SMART WATER METER
             11.9.8 OTHER ENERGY & UTILITY APPLICATIONS
     11.10 OTHER VERTICALS 
               TABLE 117 MARKET IN OTHER VERTICALS, BY REGION, 2017–2022 (USD MILLION)
               TABLE 118 MARKET IN OTHER VERTICALS, BY REGION, 2023–2028 (USD MILLION)
 
12 AI AS A SERVICE MARKET, BY REGION (Page No. - 160)
     12.1 INTRODUCTION 
             12.1.1 MARKET: IMPACT OF RECESSION
                       FIGURE 33 INDIA TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD
                       FIGURE 34 ASIA PACIFIC TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD
                       TABLE 119 MARKET, BY REGION, 2017–2022 (USD MILLION)
                       TABLE 120 MARKET, BY REGION, 2023–2028 (USD MILLION)
     12.2 NORTH AMERICA 
             12.2.1 NORTH AMERICA: MARKET DRIVERS
             12.2.2 NORTH AMERICA: IMPACT OF RECESSION
                       FIGURE 35 NORTH AMERICA: AI AS A SERVICE MARKET SNAPSHOT
                       TABLE 121 NORTH AMERICA: MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                       TABLE 122 NORTH AMERICA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                       TABLE 123 NORTH AMERICA: MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
                       TABLE 124 NORTH AMERICA: MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
                       TABLE 125 NORTH AMERICA: MARKET, BY MACHINE LEARNING, 2017–2022 (USD MILLION)
                       TABLE 126 NORTH AMERICA: MARKET, BY MACHINE LEARNING, 2023–2028 (USD MILLION)
                       TABLE 127 NORTH AMERICA: MARKET, BY CLOUD TYPE, 2017–2022 (USD MILLION)
                       TABLE 128 NORTH AMERICA: MARKET, BY CLOUD TYPE, 2023–2028 (USD MILLION)
                       TABLE 129 NORTH AMERICA: MARKET, BY ORGANIZATION SIZE, 2017–2022 (USD MILLION)
                       TABLE 130 NORTH AMERICA: MARKET, BY ORGANIZATION SIZE, 2023–2028 (USD MILLION)
                       TABLE 131 NORTH AMERICA: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                       TABLE 132 NORTH AMERICA: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
             12.2.3 US
                       12.2.3.1 Increase in demand for AI-powered solutions across industries in US
                                   TABLE 133 US: MARKET INVESTMENT INITIATIVES
             12.2.4 CANADA
                       12.2.4.1 Robust AI ecosystem in Canada
                                   TABLE 134 CANADA: MARKET INVESTMENT INITIATIVES
     12.3 EUROPE 
             12.3.1 EUROPE: MARKET DRIVERS
             12.3.2 EUROPE: IMPACT OF RECESSION
                       TABLE 135 EUROPE: AI AS A SERVICE MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                       TABLE 136 EUROPE: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                       TABLE 137 EUROPE: MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
                       TABLE 138 EUROPE: MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
                       TABLE 139 EUROPE: MARKET, BY MACHINE LEARNING, 2017–2022 (USD MILLION)
                       TABLE 140 EUROPE: MARKET, BY MACHINE LEARNING, 2023–2028 (USD MILLION)
                       TABLE 141 EUROPE: MARKET, BY CLOUD TYPE, 2017–2022 (USD MILLION)
                       TABLE 142 EUROPE: MARKET, BY CLOUD TYPE, 2023–2028 (USD MILLION)
                       TABLE 143 EUROPE: MARKET, BY ORGANIZATION SIZE, 2017–2022 (USD MILLION)
                       TABLE 144 EUROPE: MARKET, BY ORGANIZATION SIZE, 2023–2028 (USD MILLION)
                       TABLE 145 EUROPE: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                       TABLE 146 EUROPE: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
             12.3.3 UK
                       12.3.3.1 Strong focus on research & development, innovative startups, and established tech companies in UK
                                   TABLE 147 UK: MARKET INVESTMENT INITIATIVES
             12.3.4 GERMANY
                       12.3.4.1 Technological initiatives pertaining to AIaaS by various companies in Germany
                                   TABLE 148 GERMANY: MARKET INVESTMENT INITIATIVES
             12.3.5 FRANCE
                       12.3.5.1 Growing startup ecosystem in France
                                   TABLE 149 FRANCE: MARKET INVESTMENT INITIATIVES
             12.3.6 REST OF EUROPE
     12.4 ASIA PACIFIC 
             12.4.1 ASIA PACIFIC: MARKET DRIVERS
             12.4.2 ASIA PACIFIC: IMPACT OF RECESSION
                       FIGURE 36 ASIA PACIFIC: AI AS A SERVICE MARKET SNAPSHOT
                       TABLE 150 ASIA PACIFIC: MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                       TABLE 151 ASIA PACIFIC: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                       TABLE 152 ASIA PACIFIC: MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
                       TABLE 153 ASIA PACIFIC: MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
                       TABLE 154 ASIA PACIFIC: MARKET, BY MACHINE LEARNING, 2017–2022 (USD MILLION)
                       TABLE 155 ASIA PACIFIC: MARKET, BY MACHINE LEARNING, 2023–2028 (USD MILLION)
                       TABLE 156 ASIA PACIFIC: MARKET, BY CLOUD TYPE, 2017–2022 (USD MILLION)
                       TABLE 157 ASIA PACIFIC: MARKET, BY CLOUD TYPE, 2023–2028 (USD MILLION)
                       TABLE 158 ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE, 2017–2022 (USD MILLION)
                       TABLE 159 ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE, 2023–2028 (USD MILLION)
                       TABLE 160 ASIA PACIFIC: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                       TABLE 161 ASIA PACIFIC: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
                       TABLE 162 ASIA PACIFIC: MARKET, BY COUNTRY/REGION, 2017–2022 (USD MILLION)
                       TABLE 163 ASIA PACIFIC: MARKET, BY COUNTRY/REGION, 2023–2028 (USD MILLION)
             12.4.3 CHINA
                       12.4.3.1 AI development in China focused on solving real-world problems and driving economic growth
                                   TABLE 164 CHINA: MARKET INVESTMENT INITIATIVES
             12.4.4 JAPAN
                       12.4.4.1 AI as a Service takes root in Japan as government and industry collaborate for future growth
             12.4.5 SOUTH KOREA
                       12.4.5.1 Advanced IT infrastructure, skilled workforce, and government support in South Korea
             12.4.6 ASEAN
                       12.4.6.1 AI technology to accelerate advancements of sustainable development goals in ASEAN countries
             12.4.7 INDIA
                       12.4.7.1 Increase in adoption of AI-powered solutions by Indian companies to drive digital transformation
             12.4.8 AUSTRALIA & NEW ZEALAND
                       12.4.8.1 Artificial intelligence crucial for digital transformation of Australia & New Zealand
             12.4.9 REST OF ASIA PACIFIC
     12.5 MIDDLE EAST & AFRICA 
             12.5.1 MIDDLE EAST & AFRICA: MARKET DRIVERS
             12.5.2 MIDDLE EAST & AFRICA: IMPACT OF RECESSION
                       TABLE 165 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                       TABLE 166 MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                       TABLE 167 MIDDLE EAST & AFRICA: MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
                       TABLE 168 MIDDLE EAST & AFRICA: MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
                       TABLE 169 MIDDLE EAST & AFRICA: MARKET, BY MACHINE LEARNING, 2017–2022 (USD MILLION)
                       TABLE 170 MIDDLE EAST & AFRICA: MARKET, BY MACHINE LEARNING, 2023–2028 (USD MILLION)
                       TABLE 171 MIDDLE EAST & AFRICA: MARKET, BY CLOUD TYPE, 2017–2022 (USD MILLION)
                       TABLE 172 MIDDLE EAST & AFRICA: MARKET, BY CLOUD TYPE, 2023–2028 (USD MILLION)
                       TABLE 173 MIDDLE EAST & AFRICA: MARKET, BY ORGANIZATION SIZE, 2017–2022 (USD MILLION)
                       TABLE 174 MIDDLE EAST & AFRICA: MARKET, BY ORGANIZATION SIZE, 2023–2028 (USD MILLION)
                       TABLE 175 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                       TABLE 176 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
                       TABLE 177 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2017–2022 (USD MILLION)
                       TABLE 178 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
             12.5.3 KINGDOM OF SAUDI ARABIA
                       12.5.3.1 Rise in digitization and various cloud-based strategies in KSA
             12.5.4 UNITED ARAB EMIRATES
                       12.5.4.1 UAE government support and diverse range of AI-focused companies and startups
             12.5.5 ISRAEL
                       12.5.5.1 Expansion of startups in field of AI in Israel
             12.5.6 TURKEY
                       12.5.6.1 AI-enabled services, availability of cloud computing, and rise of IoT in Turkey
             12.5.7 SOUTH AFRICA
                       12.5.7.1 Legal system being shaped by AI and ML in South Africa
             12.5.8 REST OF THE MIDDLE EAST & AFRICA
     12.6 LATIN AMERICA 
             12.6.1 LATIN AMERICA: MARKET DRIVERS
             12.6.2 LATIN AMERICA: IMPACT OF RECESSION
                       TABLE 179 LATIN AMERICA: AI AS A SERVICE MARKET, BY OFFERING, 2017–2022 (USD MILLION)
                       TABLE 180 LATIN AMERICA: MARKET, BY OFFERING, 2023–2028 (USD MILLION)
                       TABLE 181 LATIN AMERICA: MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION)
                       TABLE 182 LATIN AMERICA: MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
                       TABLE 183 LATIN AMERICA: MARKET, BY MACHINE LEARNING, 2017–2022 (USD MILLION)
                       TABLE 184 LATIN AMERICA: MARKET, BY MACHINE LEARNING, 2023–2028 (USD MILLION)
                       TABLE 185 LATIN AMERICA: MARKET, BY CLOUD TYPE, 2017–2022 (USD MILLION)
                       TABLE 186 LATIN AMERICA: MARKET, BY CLOUD TYPE, 2023–2028(USD MILLION)
                       TABLE 187 LATIN AMERICA: MARKET, BY ORGANIZATION SIZE, 2017–2022 (USD MILLION)
                       TABLE 188 LATIN AMERICA: MARKET, BY ORGANIZATION SIZE, 2023–2028 (USD MILLION)
                       TABLE 189 LATIN AMERICA: MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
                       TABLE 190 LATIN AMERICA: MARKET, BY VERTICAL, 2023–2028(USD MILLION)
                       TABLE 191 LATIN AMERICA: MARKET, BY COUNTRY, 2017–2022 (USD MILLION)
                       TABLE 192 LATIN AMERICA: MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
             12.6.3 BRAZIL
                       12.6.3.1 Initiatives by Brazil to promote development of AI skills and capabilities
             12.6.4 MEXICO
                       12.6.4.1 Government initiatives in Mexico aimed at AI solutions
             12.6.5 REST OF LATIN AMERICA
 
13 COMPETITIVE LANDSCAPE (Page No. - 204)
     13.1 OVERVIEW 
     13.2 KEY PLAYER STRATEGIES 
               TABLE 193 OVERVIEW OF STRATEGIES DEPLOYED BY KEY PLAYERS IN MARKET
     13.3 REVENUE ANALYSIS 
               FIGURE 37 REVENUE ANALYSIS FOR KEY COMPANIES, 2018–2022
     13.4 MARKET SHARE ANALYSIS 
               FIGURE 38 MARKET SHARE ANALYSIS FOR KEY PLAYERS, 2023
               TABLE 194 AI AS A SERVICE MARKET: DEGREE OF COMPETITION
     13.5 KEY COMPANY EVALUATION QUADRANT 
             13.5.1 STARS
             13.5.2 EMERGING LEADERS
             13.5.3 PERVASIVE PLAYERS
             13.5.4 PARTICIPANTS
                       FIGURE 39 KEY MARKET PLAYERS, COMPANY EVALUATION MATRIX, 2023
     13.6 STARTUP/SME EVALUATION QUADRANT 
             13.6.1 PROGRESSIVE COMPANIES
             13.6.2 RESPONSIVE COMPANIES
             13.6.3 DYNAMIC COMPANIES
             13.6.4 STARTING BLOCKS
                       FIGURE 40 STARTUP/SME AI AS A SERVICE PLAYERS, COMPANY EVALUATION MATRIX, 2022
     13.7 COMPETITIVE BENCHMARKING 
               TABLE 195 AI AS A SERVICE MARKET: COMPETITIVE BENCHMARKING OF KEY PLAYERS, 2022
               TABLE 196 MARKET: DETAILED LIST OF KEY STARTUPS/SMES
               TABLE 197 ARTIFICIAL INTELLIGENCE MARKET: COMPETITIVE BENCHMARKING OF STARTUPS/SMES
     13.8 AI AS A SERVICE PRODUCT LANDSCAPE 
             13.8.1 COMPARATIVE ANALYSIS OF AI AS A SERVICE PRODUCTS
                       TABLE 198 COMPARATIVE ANALYSIS OF AI AS A SERVICE PRODUCTS
     13.9 COMPETITIVE SCENARIO 
             13.9.1 PRODUCT LAUNCHES
                       TABLE 199 MARKET: PRODUCT LAUNCHES, SEPTEMBER 2020–MARCH 2023
             13.9.2 DEALS
                       TABLE 200 AI AS A SERVICE MARKET: DEALS, FEBRUARY 2020–JANUARY 2023
 
14 COMPANY PROFILES (Page No. - 217)
(Business overview, Products/Solutions/Services offered, Recent developments & MnM View)*
     14.1 KEY PLAYERS 
             14.1.1 IBM
                       TABLE 201 IBM: BUSINESS OVERVIEW
                       FIGURE 41 IBM: FINANCIAL OVERVIEW
                       TABLE 202 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 203 IBM: PRODUCT LAUNCHES
                       TABLE 204 IBM: DEALS
             14.1.2 GOOGLE
                       TABLE 205 GOOGLE: BUSINESS OVERVIEW
                       FIGURE 42 GOOGLE: FINANCIAL OVERVIEW
                       TABLE 206 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 207 GOOGLE: PRODUCT LAUNCHES
                       TABLE 208 GOOGLE: DEALS
             14.1.3 AWS
                       TABLE 209 AWS: BUSINESS OVERVIEW
                       FIGURE 43 AWS: FINANCIAL OVERVIEW
                       TABLE 210 AWS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 211 AWS: PRODUCT LAUNCHES
                       TABLE 212 AWS: DEALS
             14.1.4 MICROSOFT
                       TABLE 213 MICROSOFT: BUSINESS OVERVIEW
                       FIGURE 44 MICROSOFT: FINANCIAL OVERVIEW
                       TABLE 214 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 215 MICROSOFT: PRODUCT LAUNCHES
                       TABLE 216 MICROSOFT: DEALS
             14.1.5 SALESFORCE
                       TABLE 217 SALESFORCE: BUSINESS OVERVIEW
                       FIGURE 45 SALESFORCE: FINANCIAL OVERVIEW
                       TABLE 218 SALESFORCE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 219 SALESFORCE: PRODUCT LAUNCHES
                       TABLE 220 SALESFORCE: DEALS
             14.1.6 FICO
                       TABLE 221 FICO: BUSINESS OVERVIEW
                       FIGURE 46 FICO: FINANCIAL OVERVIEW
                       TABLE 222 FICO: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 223 FICO: PRODUCT LAUNCHES
                       TABLE 224 FICO: DEALS
             14.1.7 SAS INSTITUTE
                       TABLE 225 SAS INSTITUTE: BUSINESS OVERVIEW
                       FIGURE 47 SAS INSTITUTE: FINANCIAL OVERVIEW
                       TABLE 226 SAS INSTITUTE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 227 SAS INSTITUTE: PRODUCT LAUNCHES
                       TABLE 228 SAS INSTITUTE: DEALS
             14.1.8 BAIDU
                       TABLE 229 BAIDU: BUSINESS OVERVIEW
                       FIGURE 48 BAIDU: FINANCIAL OVERVIEW
                       TABLE 230 BAIDU: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 231 BAIDU: PRODUCT LAUNCHES
                       TABLE 232 BAIDU: DEALS
             14.1.9 SAP
                       TABLE 233 SAP: BUSINESS OVERVIEW
                       FIGURE 49 SAP: FINANCIAL OVERVIEW
                       TABLE 234 SAP: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 235 SAP: PRODUCT LAUNCHES
                       TABLE 236 SAP: DEALS
             14.1.10 AMD XILINX
                       TABLE 237 AMD XILINX: BUSINESS OVERVIEW
                       FIGURE 50 AMD XILINX: FINANCIAL OVERVIEW
                       TABLE 238 AMD XILINX: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 239 AMD XILINX: PRODUCT LAUNCHES
                       TABLE 240 AMD XILINX: DEALS
             14.1.11 IRIS.AI
                       TABLE 241 IRIS.AI: BUSINESS OVERVIEW
                       TABLE 242 IRIS.AI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 243 IRIS.AI: PRODUCT LAUNCHES
                       TABLE 244 IRIS.AI: DEALS
             14.1.12 BIGML
                       TABLE 245 BIGML: BUSINESS OVERVIEW
                       TABLE 246 BIGML: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 247 BIGML: PRODUCT LAUNCHES
                       TABLE 248 BIGML: DEALS
             14.1.13 H20.AI
                       TABLE 249 H2O.AI: BUSINESS OVERVIEW
                       TABLE 250 H2O.AI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 251 H2O.AI: PRODUCT LAUNCHES
                       TABLE 252 H2O.AI: DEALS
             14.1.14 ABSOLUTDATA
                       TABLE 253 ABSOLUTDATA: BUSINESS OVERVIEW
                       TABLE 254 ABSOLUTDATA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 255 ABSOLUTDATA: PRODUCT LAUNCHES
                       TABLE 256 ABSOLUTDATA: DEALS
             14.1.15 VITAL.AI
                       TABLE 257 VITAL.AI: BUSINESS OVERVIEW
                       TABLE 258 VITAL.AI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
             14.1.16 ORACLE
                       TABLE 259 ORACLE: BUSINESS OVERVIEW
                       FIGURE 51 ORACLE: FINANCIAL OVERVIEW
                       TABLE 260 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 261 ORACLE: PRODUCT LAUNCHES
                       TABLE 262 ORACLE: DEALS
             14.1.17 ALIBABA CLOUD
                       TABLE 263 ALIBABA CLOUD: BUSINESS OVERVIEW
                       TABLE 264 ALIBABA CLOUD: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 265 ALIBABA CLOUD: PRODUCT LAUNCHES
                       TABLE 266 ALIBABA CLOUD: DEALS
             14.1.18 TENCENT
                       TABLE 267 TENCENT: BUSINESS OVERVIEW
                       FIGURE 52 TENCENT: FINANCIAL OVERVIEW
                       TABLE 268 TENCENT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                       TABLE 269 TENCENT: PRODUCT LAUNCHES
                       TABLE 270 TENCENT: DEALS
*Details on Business overview, Products/Solutions/Services offered, Recent developments & MnM View might not be captured in case of unlisted companies.
     14.2 OTHER KEY PLAYERS 
             14.2.1 FUZZY.AI
             14.2.2 RAINBIRD TECHNOLOGIES
             14.2.3 CRAFT.AI
             14.2.4 SIFTSCIENCE
             14.2.5 DATABRICKS
             14.2.6 TECNOTREE
             14.2.7 CENTURY SOFT
             14.2.8 YOTTAMINE ANALYTICS
             14.2.9 DATAROBOT
             14.2.10 MEYA.AI
             14.2.11 DATAIKU
             14.2.12 CLOUDERA
 
15 ADJACENT AND RELATED MARKETS (Page No. - 307)
     15.1 INTRODUCTION 
     15.2 ARTIFICIAL INTELLIGENCE MARKET - GLOBAL FORECAST TO 2027 
             15.2.1 MARKET DEFINITION
             15.2.2 MARKET OVERVIEW
             15.2.3 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING
                       TABLE 271 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2016–2021 (USD BILLION)
                       TABLE 272 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2022–2027 (USD BILLION)
             15.2.4 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY
                       TABLE 273 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2016–2021 (USD BILLION)
                       TABLE 274 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2022–2027 (USD BILLION)
             15.2.5 ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE
                       TABLE 275 ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD BILLION)
                       TABLE 276 ARTIFICIAL INTELLIGENCE MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD BILLION)
             15.2.6 ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION SIZE
                       TABLE 277 ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION, 2016–2021 (USD BILLION)
                       TABLE 278 ARTIFICIAL INTELLIGENCE MARKET, BY ORGANIZATION, 2022–2027 (USD BILLION)
             15.2.7 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION
                       TABLE 279 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2016–2021 (USD BILLION)
                       TABLE 280 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2022–2027 (USD BILLION)
             15.2.8 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL
                       TABLE 281 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2016–2021 (USD BILLION)
                       TABLE 282 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2022–2027 (USD BILLION)
             15.2.9 ARTIFICIAL INTELLIGENCE MARKET, BY REGION
                       TABLE 283 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2016–2021 (USD BILLION)
                       TABLE 284 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2022–2027 (USD BILLION)
     15.3 PLATFORM AS A SERVICE MARKET - GLOBAL FORECAST TO 2026 
             15.3.1 MARKET DEFINITION
             15.3.2 MARKET OVERVIEW
             15.3.3 PLATFORM AS A SERVICE MARKET, BY TYPE
                       TABLE 285 PLATFORM AS A SERVICE MARKET, BY TYPE, 2016–2019 (USD MILLION)
                       TABLE 286 PLATFORM AS A SERVICE MARKET, BY TYPE, 2020–2026 (USD MILLION)
             15.3.4 PLATFORM AS A SERVICE MARKET, BY DEPLOYMENT MODE
                       TABLE 287 PLATFORM AS A SERVICE MARKET SIZE, BY DEPLOYMENT, 2016–2019 (USD MILLION)
                       TABLE 288 PLATFORM AS A SERVICE MARKET SIZE, BY DEPLOYMENT, 2020–2026 (USD MILLION)
             15.3.5 PLATFORM AS A SERVICE MARKET, BY ORGANIZATION SIZE
                       TABLE 289 PLATFORM AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2016–2019 (USD MILLION)
                       TABLE 290 PLATFORM AS A SERVICE MARKET SIZE, BY ORGANIZATION SIZE, 2020–2026 (USD MILLION)
             15.3.6 PLATFORM AS A SERVICE MARKET, BY VERTICAL
                       TABLE 291 PLATFORM AS A SERVICE MARKET, BY VERTICAL, 2016–2019 (USD MILLION)
                       TABLE 292 PLATFORM AS A SERVICE MARKET, BY VERTICAL, 2020–2026 (USD MILLION)
             15.3.7 PLATFORM AS A SERVICE MARKET, BY REGION
                       TABLE 293 PLATFORM AS A SERVICE MARKET, BY REGION, 2016–2019 (USD MILLION)
                       TABLE 294 PLATFORM AS A SERVICE MARKET, BY REGION, 2020–2026 (USD MILLION)
 
16 APPENDIX (Page No. - 319)
     16.1 DISCUSSION GUIDE 
     16.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 
     16.3 CUSTOMIZATION OPTIONS 
     16.4 RELATED REPORTS 
     16.5 AUTHOR DETAILS 

The research methodology for the global AIaaS market report involved the use of extensive secondary sources and directories, as well as various reputed open-source databases, to identify and collect information useful for this technical and market-oriented study. In-depth interviews were conducted with various primary respondents, including key opinion leaders, subject matter experts, high-level executives of multiple companies offering AIaaS offerings, and industry consultants to obtain and verify critical qualitative and quantitative information, as well as assess the market prospects and industry trends.

Secondary Research

In the secondary research process, various secondary 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; and white papers, certified publications, and articles from recognized associations and government publishing sources.

The secondary research was mainly used to obtain the key information about the industry’s value chain, the market’s monetary chain, the overall pool of key players, market classification and segmentation according to industry trends to the bottom-most level, regional markets, and key developments from both market and technology-oriented perspectives.

Primary Research

In the primary research process, various primary sources from both the supply and demand sides of the AIasS market ecosystem were interviewed to obtain qualitative and quantitative information for this study. The primary sources from the supply side included industry experts, such as chief executive officers (CEOs), vice presidents (VPs), marketing directors, technology and innovation directors, and related key executives from various vendors providing AIasS offerings; associated service providers; and system integrators operating in the targeted regions. All possible parameters that affect the market covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

After the complete market engineering (including calculations for market statistics, market breakup, market size estimations, market forecast, and data triangulation), extensive primary research was conducted to gather information and verify and validate the critical numbers arrived at. Primary research was also undertaken to identify and validate the segmentation types; industry trends; key players; the competitive landscape of the market; and key market dynamics, such as drivers, restraints, opportunities, challenges, industry trends, and key strategies.

In the complete market engineering process, both the top-down and bottom-up approaches were extensively used, along with several data triangulation methods, to perform the market estimation and market forecast for the overall market segments and subsegments listed in this report. Extensive qualitative and quantitative analysis was performed on the complete market engineering process to record the critical information/insights throughout the report.

The following is the breakup of primary profiles:

AI as a Service Market Size, and Share

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

Market Size Estimation

For making market estimates and forecasting the AIaaS market and the other dependent submarkets, top-down and bottom-up approaches were used. The bottom-up procedure was used to arrive at the overall market size of the global AIasS market, using the revenue from the key companies and their offerings in the market. With data triangulation and validation through primary interviews, the exact value of the overall parent market size was determined and confirmed using this study. 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 segments.

In the top-down approach, an exhaustive list of all the vendors offering AIaaS was prepared. The revenue contribution of the market vendors was estimated through annual reports, press releases, funding, investor presentations, paid databases, and primary interviews. Each vendor’s offerings were evaluated based on the breadth of solution and service offerings, cloud type, organization size, and verticals. The aggregate of all the revenues of the companies 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.

In the bottom-up approach, the adoption rate of AIaaS 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 and services among industries, along with different use cases with respect to their regions, was identified and extrapolated. Weightage was given to use cases identified in different regions for the market size calculation.

All the possible parameters that affect the market covered in the research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. The data is consolidated and added with detailed inputs and analysis from MarketsandMarkets.

  • The pricing trend is assumed to vary over time.
  • All the forecasts are made with the standard assumption that the accepted currency is USD.
  • For the conversion of various currencies to USD, average historical exchange rates are used according to the year specified. For all the historical and current exchange rates required for calculations and currency conversions, the US Internal Revenue Service’s website is used.
  • All the forecasts are made under the standard assumption that the globally accepted currency, USD, remains constant during the next five years.
  • Vendor-side analysis: The market size estimates of associated solutions and services are factored in from the vendor side by assuming an average of licensing and subscription-based models of leading and innovative vendors.
  • Demand/end-user analysis: End users operating in verticals across regions are analyzed in terms of market spending on AI as a Service solutions based on some of the key use cases. These factors for the AI in the project management tool industry per region are separately analyzed, and the average spending was extrapolated with an approximation based on assumed weightage. This factor is derived by averaging various market influencers, including recent developments, regulations, mergers and acquisitions, enterprise/SME adoption, startup ecosystem, IT spending, technology propensity and maturity, use cases, and the estimated number of organizations per region.

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 (also known as AI as a Service, AI-as-a-Service, and AI Cloud) refers to a cloud-based service that provides access to various AI technologies and tools, allowing businesses to leverage the benefits of AI without having to invest in developing and maintaining their own AI infrastructure. AI as a Service includes natural language processing, computer vision, predictive analytics, and speech recognition.

Key Stakeholders

  • Research organizations
  • Third-party service providers
  • Technology providers
  • Cloud services providers
  • AI consulting companies
  • Independent software vendors (ISVs)
  • Service providers and distributors
  • Application development vendors
  • System integrators
  • Consultants/consultancy/advisory firms
  • Training and education service providers
  • Support and maintenance service providers
  • Managed service providers

Report Objectives

  • To define, describe, and forecast the AI as a Service market based on offering, service type, technology, cloud type, organization size, vertical, and region
  • To provide detailed information about the major factors (drivers, restraints, opportunities, and challenges) influencing the market growth
  • To analyze subsegments with respect to individual growth trends, prospects, and contributions to the total market
  • To analyze opportunities in the market for stakeholders and provide the competitive landscape of the market
  • To forecast the revenue of the market segments with respect to all the five major regions, namely, North America, Europe, Asia Pacific (APAC), the Middle East & Africa (MEA), and Latin America
  • To profile the key players and comprehensively analyze the recent developments and their positioning related to the AI as a Service market
  • To analyze competitive developments, such as mergers & acquisitions, product developments, and research & development (R&D) activities, in the market
  • To analyze the impact of recession across all the regions across the AI as a Service market

Available Customizations

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

Product Analysis

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

Geographic Analysis

  • Further breakup of the North American market for AI as a Service
  • Further breakup of the European market for AI as a Service
  • Further breakup of the Asia Pacific market for AI as a Service
  • Further breakup of the Latin American market for AI as a Service
  • Further breakup of the Middle East & Africa market for AI as a Service

Company Information

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

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

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Report Code
TC 6185
Published ON
Apr, 2023
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