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AI as a Service Market

Report Code TC 6185
Published in Apr, 2025, By MarketsandMarkets™
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AI as a Service Market by Product Type (Chatbots & AI Agents, ML Framework, API, No Code/Low Code Tools, Data Labeling), Service Type (ML as a Service, NLP as a Service, Generative AI as a Service), Business Function, End User - Global Forecast to 2030

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Overview

The AI as a service (AIaaS) market is expanding rapidly, with a projected market size anticipated to rise from about USD 20.26 billion in 2025 to USD 91.20 billion by 2030, featuring a CAGR of 35.1%. The AIaaS market is swiftly growing, revolutionizing industries with affordable and scalable AI offerings. Regulatory organizations such as the European Commission and the US FTC influence the market by advancing ethical standards and fostering innovation. Over 30% of organizations utilize AI services to tackle workforce gaps, whereas over 75% prefer low-code platforms to liberate developer time. AI-supported systems have enhanced case resolution rates by 30–40%, showcasing significant efficiency improvements. The product type segment accelerates AI adoption by making advanced capabilities more accessible across industries. This variety enables businesses of all sizes to integrate AI seamlessly, driving growth and innovation in the AI as a Service market.

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 AI as a Service market due to rapid digital transformation, increasing government support for AI initiatives, and surging demand from 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 AI as a Service 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 AI as a Service market due to increasing demand for customizable, scalable AI solutions. Businesses rely on ML frameworks for data-driven insights, automation, and improved decision-making.

The global AI as a Service 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.

Global AI as a Service Market Dynamics

Driver: Increasing need for pre-trained AI models requiring minimal customization

The AI as a Service (AIaaS) market is experiencing significant growth, fueled primarily by the growing availability and complexity of pre-trained AI models. These models, which are optimized to perform tasks such as natural language processing, image recognition, and predictive analytics, are dramatically reducing the entry barriers that have long been associated with AI adoption. Pre-trained AI models provide integrated features that demand little customization, allowing organizations to adopt AI-driven solutions without needing extensive technical knowledge or prolonged development periods. This plug-and-play method improves accessibility, enabling businesses of any size to leverage advanced AI features with lower investment and quicker returns.

One of the most significant strengths of AIaaS is that it can be rapidly deployed at a low cost, which is particularly useful in today’s dynamic digital landscape where agility and efficiency are paramount. The lower training and fine-tuning requirements also help to facilitate quicker implementation and a greater return on investment (ROI). Consequently, the appeal of AIaaS is growing in healthcare, finance, and retail industries, where businesses are identifying the revolutionary capability of these intelligent solutions to transform operational enhancements, customer interactions, and data-based decision-making.

Restraint: Limited AI model explainability & transparency

Despite the growing adoption of AI as a Service, a significant barrier hindering its wider implementation is the limited explainability and transparency of many AI models, particularly in high-stakes and heavily regulated industries such as finance, healthcare, and legal services. Many AIaaS offerings function as black-box systems, where the internal decision-making logic is too complex or insufficiently documented to be easily understood by end users. This opacity generates serious concerns around algorithmic bias, accountability, and regulatory compliance, with the increasing stringency of global frameworks such as the EU AI Act, which emphasizes transparency and ethical AI use.

For organizations that depend on AI-generated insights for critical decision-making, a lack of transparency in the reasoning behind these recommendations poses a significant barrier to trust and wider adoption. As a result, AIaaS companies focus on explainable AI (XAI), model interpretability tools, and ethical transparency frameworks. Hence, striking a balance between high-performing and accurate models while also being easy for users to interpret continues to be a difficult challenge. Consequently, restricted transparency remains a significant hindrance to the growth and broad confidence in AIaaS offerings within sensitive industry sectors.

 

Opportunity: Expansion of AI marketplaces & Plug-and-Play AI models

The rise and swift growth of AI marketplaces, along with the increasing accessibility of off-the-shelf AI models, is transforming the AIaaS market by making advanced AI functionalities available to companies of all sizes. These marketplaces act as centralized hubs where businesses can effortlessly explore, tailor, and implement pre-trained AI models without requiring internal data science teams or extensive technical expertise. This change significantly affects small and medium-sized enterprises, as they frequently do not have the financial and human resources needed for comprehensive AI development.

AI marketplaces are slashing deployment times and enhancing operational efficiency by offering plug-and-play solutions for applications such as natural language processing, predictive analytics, and computer vision. As industries increasingly seek AI tools tailored to their specific needs, vendors are responding by creating modular, domain-specific AI models that integrate seamlessly into existing systems and workflows. Additionally, AIaaS suppliers focus on user-friendliness and compatibility, facilitating seamless integration across various IT ecosystems. This trend hastened the widespread acceptance of AI, making AI marketplaces an essential facilitator of AI democratization and a catalyst for the digital transformation of today’s businesses..

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

AI as a Service (AIaaS) providers face serious challenges when managing the hefty costs of maintaining and scaling the complex infrastructure needed for advanced AI capabilities. Running high-performance AI models requires powerful GPUs, specialized hardware, and a ton of computational resources, all driving up operational expenses. Energy consumption is another big issue, as handling large-scale AI workloads demands a constant power supply, leading to high electricity bills and environmental concerns. With clients expecting quicker, more accurate, and scalable AI solutions, providers are pressured to invest in cutting-edge computing infrastructure, robust cloud environments, and energy-efficient technologies.

Adding to these challenges is the relentless pace of innovation in the AI sector, which requires regular upgrades and reinvestments in infrastructure just to stay competitive. This dynamic increases capital expenditures, making it a constant juggling act between profitability and sustainability. To tackle these challenges, AIaaS vendors seek cost-effective strategies, like optimizing resource use, adopting scalable cloud architectures, and integrating renewable energy sources to lessen their carbon footprints. These initiatives are crucial for managing costs and aligning with the broader movement toward sustainable and efficient AI service delivery.

Global AI as a Service Market Ecosystem Analysis

The AI as a service market ecosystem comprises a diverse range of stakeholders. Key players include chatbot & AI agent providers, machine learning framework providers, no-code/low-code tool providers, data labeling & pre-processing tool providers, API providers, and public and managed cloud providers. 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

Note: The above diagram only shows the representation of the AI as a Service Market ecosystem; it is not limited to the companies represented above.
Source: Secondary Research and MarketsandMarkets Analysis

 

Machine learning framework product type segment to hold largest market share during 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 it 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 in the AIaaS landscape. These frameworks act as the backbone for numerous AI-as-a-Service (AIaaS) solutions, empowering service providers to craft highly flexible and efficient offerings that address various business needs.

Developers can swiftly experiment, test, and launch models due to their modular design, which significantly cuts down the time it takes to get AI services out into the market. Additionally, the strong community backing and ongoing updates enhance their value even further. As businesses aim to tap into AI without building everything from the ground up, these frameworks provide a budget-friendly and trustworthy alternative. The influence of machine learning frameworks in the AIaaS space is set to keep growing due to their role in speeding up innovation, lowering technical barriers, and improving the entire AI development lifecycle.

Generative AI as a service segment to account for fastest growth rate during forecast period

Generative AI as a service is anticipated to see the most rapid growth due to its ability to generate 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 their rapid growth in the AIaaS industry. Generative AI presents a powerful solution by automating tasks that once required a lot of manual effort.

Its capacity to personalize content on a large scale makes it particularly appealing for customer-facing roles, where customized interactions can significantly improve brand engagement and conversion rates. Additionally, generative AI tools aid in iterative design processes, enabling teams to explore various creative options quickly. With ongoing advancements in technology and broader integration across platforms, generative AI is poised to be a transformative force in the AIaaS landscape, speeding up digital innovation and changing how businesses approach creative production and customer engagement.

Asia Pacific set to experience fastest growth during forecast period

The Asia Pacific region is set to achieve the highest growth rate in the AIaaS market due to swift digital evolution throughout various sectors, as China, India, and Japan make significant investments in AI infrastructure and cloud technology. The emergence of smart cities and AI-driven manufacturing in China, alongside India’s flourishing IT industry and increasing use of AI in healthcare and finance, drives the demand for AIaaS solutions. Furthermore, government efforts such as Japan’s “Society 5.0” and India’s AI strategy are hastening AI research and its commercialization.

Additionally, the extensive tech-literate workforce in the area and the increasing integration of AI in SMEs encourage the use of plug-and-play AI models and marketplace solutions. With the progression of internet connectivity and the growth of cloud infrastructure, the Asia Pacific region is set for swift AIaaS development. These dynamics are bolstered by regional collaboration efforts, public-private partnerships, and supportive regulatory frameworks encouraging innovation and cross-border technological advancement. As the region increasingly focuses on automation, digital services, and scalable AI solutions, Asia Pacific is positioning itself as a strategic center for AIaaS providers.

HIGHEST CAGR MARKET TILL 2030
INDIA FASTEST GROWING MARKET IN THE REGION
AI as a Service Market by region

Recent Developments of AI as a Service Market

  • In April 2025, IBM announced the acquisition of Hakkoda Inc., a leading global data and AI consultancy. Hakkoda will expand IBM Consulting’s data transformation services portfolio, adding specialized data platform expertise to help clients get their data ready to fuel AI-powered business operations.
  • In March 2025, Publicis Sapient announced a global strategic collaboration agreement with Amazon Web Services to accelerate enterprise IT modernization. Publicis Sapient will leverage AWS’s advanced generative AI services to help enterprises accelerate their digital business transformation journeys and more easily build personalized campaigns and experiences to reduce churn and enhance customer loyalty.
  • In January 2025, Pearson and Microsoft announced a multiyear partnership to transform learning and workforce development using AI. The partnership will integrate AI-powered products and services into Pearson’s offerings to enhance skilling and learning for employers, workers, and learners.
  • In January 2025, AWS and General Catalyst announced a collaboration to transform healthcare using AI. This collaboration aims to develop and deploy AI-powered solutions addressing critical needs in predictive and personalized care, interoperability, operational and clinical efficiency, diagnostics, and patient engagement.

Key Market Players

List of Top AI as a Service Market Companies

The AI as a Service Market is dominated by a few major players that have a wide regional presence. The major players in the AI as a Service Market are

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Scope of the Report

Report Attribute Details
Market size available for years 2020–2030
Base year considered 2024
Forecast period 2025–2030
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?
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 2025-2030?
The AI as a service market is expected to record a CAGR of 35.1% from 2025 to 2030.
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 AI as a 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 AI as a Service 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), Alibaba Cloud (China), and Intellias (US), and DOMO (US).

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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
    - Democratization of advanced technologies
    - Growing demand for AI-enhanced cybersecurity solutions to combat sophisticated threats
    - Surge in pre-trained AI models requiring minimal customization
    RESTRAINTS
    - Integration issues with legacy systems
    - Environmental impact of energy-intensive AI computations and data centers
    - High dependency on cloud providers
    OPPORTUNITIES
    - Emergence of federated learning techniques for collaborative AI model training
    - Increasing demand for explainable AI
    - Rising interest in quantum computing-based AI services for complex problem-solving
    CHALLENGES
    - Balancing innovation with regulatory compliance
    - Mitigating risks associated with AI model drift and maintaining model accuracy over time
    - Managing cost of high-performance AI infrastructure
  • 5.3 IMPACT OF 2025 US TARIFF - AI AS A SERVICE MARKET
    INTRODUCTION
    KEY TARIFF RATES
    PRICE IMPACT ANALYSIS
    - Strategic Shifts and Emerging Trends
    IMPACT ON COUNTRY/REGION
    - The US
    - Strategic Shifts and Key Observations
    - China
    - Strategic Shifts and Key Observations
    - Europe
    - Strategic Shifts and Key Observations
    - India
    - Strategic Shifts and Key Observations
    IMPACT ON END-USE INDUSTRIES
    - Healthcare
    - Automotive
    - Finance
    - Manufacturing
    - Retail
  • 5.4 AI AS A SERVICE MARKET: EVOLUTION
  • 5.5 ECOSYSTEM ANALYSIS
    CHATBOT & AI AGENT PROVIDERS
    MACHINE LEARNING FRAMEWORK PROVIDERS
    NO-CODE/LOW-CODE TOOL PROVIDERS
    DATA PRE-PROCESSING TOOL PROVIDERS
    API PROVIDERS
    PUBLIC & MANAGED CLOUD PROVIDERS
  • 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, 2025
    AVERAGE SELLING PRICE TREND, BY PRODUCT TYPE, 2025
  • 5.14 KEY CONFERENCES AND EVENTS, 2025–2026
  • 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
116
  • 6.1 INTRODUCTION
    PRODUCT TYPE: AI AS A SERVICE MARKET DRIVERS
  • 6.2 CHATBOTS & AI AGENTS
    GROWING INTEGRATION OF AI TOOLS INTO CRM SYSTEMS TO ADOPT AI-DRIVEN CONVERSATIONAL SOLUTIONS
  • 6.3 MACHINE LEARNING FRAMEWORKS
    WIDE USE OF OPEN-SOURCE FRAMEWORKS SUCH AS TENSORFLOW, PYTORCH, AND SCIKIT-LEARN TO DRIVE MARKET
  • 6.4 APPLICATION PROGRAMMING INTERFACE
    RISING NEED FOR EFFICIENT METHODS THAT INTERACT WITH AI SERVICES TO INCORPORATE ADVANCED AI TECHNOLOGIES
  • 6.5 NO-CODE OR LOW-CODE ML TOOLS
    RISING DEMAND FOR EASY-TO-USE INTERFACES AND VISUAL WORKFLOWS TO PROMOTE USE OF AI IN DIFFERENT VERTICALS
  • 6.6 DATA LABELING & PRE-PROCESSING TOOLS
    NEED FOR TRANSFORMING RAW DATA INTO ANNOTATED DATASETS TO BOOST DEMAND FOR DATA LABELING TOOLS
AI AS A SERVICE MARKET, BY ORGANIZATION SIZE
126
  • 7.1 INTRODUCTION
    ORGANIZATION SIZE: MARKET DRIVERS
  • 7.2 SMALL & MEDIUM-SIZED ENTERPRISES
    USE OF GENERATIVE AIAAS IN AUTOMATING CUSTOMER SERVICE OR ANALYZING HUGE DATASETS TO DRIVE MARKET
  • 7.3 LARGE ENTERPRISES
    QUICK DEPLOYMENT AND INTEGRATION OF AI CAPABILITIES FOR LARGE ENTERPRISES TO DRIVE MARKET
AI AS A SERVICE MARKET, BY BUSINESS FUNCTION
131
  • 8.1 INTRODUCTION
    BUSINESS FUNCTION: MARKET DRIVERS
  • 8.2 FINANCE
    AI TO RESHAPE FINANCIAL SECTOR BY AUTOMATING TASKS AND ENHANCING COMPLIANCE WITH ADVANCED DATA ANALYSIS
  • 8.3 MARKETING
    AI TO REVOLUTIONIZE MARKETING TRENDS THROUGH HYPER-PERSONALIZATION AND PREDICTIVE ANALYTICS
  • 8.4 SALES
    AIAAS PLATFORMS TO OFFER IMMEDIATE UNDERSTANDING OF CUSTOMER ACTIONS TO CUSTOMIZE SALES
  • 8.5 OPERATIONS & SUPPLY CHAIN
    AI-DRIVEN PREDICTIVE ANALYSIS TO RECOGNIZE POSSIBLE INTERRUPTIONS AND RESTRICTIONS IN SUPPLY NETWORK
  • 8.6 HUMAN RESOURCES
    AI PROGRAMS ANTICIPATE SKILL DEFICIENCIES AND DETECT POSSIBLE TURNOVER CONCERNS
AI AS A SERVICE MARKET, BY SERVICE TYPE
141
  • 9.1 INTRODUCTION
    SERVICE TYPE: MARKET DRIVERS
  • 9.2 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
  • 9.3 NATURAL LANGUAGE PROCESSING AS A SERVICE (NLPAAS)
    GROWING DEPENDENCE ON DATA-BASED DECISION-MAKING AND REQUIREMENT FOR EFFECTIVE COMMUNICATION TO FUEL DEMAND FOR NLPAAS
    SPEECH RECOGNITION
    SEMANTIC SEARCH
    SENTIMENT ANALYSIS
    VOICE RECOGNITION
    TEXT-TO-SPEECH (TTS)
    OTHERS IN NATURAL LANGUAGE PROCESSING AS A SERVICE
  • 9.4 COMPUTER VISION AS A SERVICE
    COMPUTER VISION TO USE COMPLEX ALGORITHMS AND ML FRAMEWORKS WITHOUT IN-HOUSE INFRASTRUCTURE OR EXPERTISE
    IMAGE RECOGNITION
    FACE RECOGNITION
    VIDEO ANALYTICS
    OBJECT DETECTION
    OTHERS IN COMPUTER VISION AS A SERVICE
  • 9.5 PREDICTIVE ANALYTICS AND DATA SCIENCE AS A SERVICE (DSAAS)
    DSAAS TO SUPPORT PREDICTIVE ANALYTICS BY PROVIDING 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
  • 9.6 GENERATIVE AI AS A SERVICE
    USE OF 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
    MARKET, BY END USER
AI AS A SERVICE MARKET, BY END USER
164
  • 10.1 INTRODUCTION
    END USER: MARKET DRIVERS
  • 10.2 ENTERPRISES
    BFSI
    - AIaaS and blockchain to create secure and transparent transactions
    RETAIL & E-COMMERCE
    - Advancements in machine learning and natural language processing to drive retail & e-commerce market
    TECHNOLOGY & SOFTWARE
    - AIaaS to enable technology firms to rapidly test new concepts and applications by offering pre-built algorithms and models
    - IT & ITeS
    - Software development companies
    - Other technology & software
    MEDIA & ENTERTAINMENT
    - Use of ML algorithms to analyze viewer preferences and behaviors to provide personalized content suggestions
    MANUFACTURING
    - Predictive maintenance capability to significantly reduce downtime and maintenance costs
    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 determine system inefficiencies
    GOVERNMENT & DEFENSE
    - AI algorithms to detect potential threats and emerging patterns using large amounts of data from different sources
    TELECOMMUNICATIONS
    - AI-powered analysis to help understand customer preferences and behaviors by using advanced ML models
    - TRANSPORTATION & LOGISTICS
    - OTHER ENTERPRISE END USERS
  • 10.3 INDIVIDUAL USERS
AI AS A SERVICE MARKET, BY REGION
185
  • 11.1 INTRODUCTION
  • 11.2 NORTH AMERICA
    NORTH AMERICA: MARKET DRIVERS
    NORTH AMERICA: MACROECONOMIC OUTLOOK
    US
    - US AIaaS market continues to grow with strong institutional backing and technical advancement
    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
    - Comprehensive AI strategy to balance opportunities presented by AI technologies
    SPAIN
    - Transformative potential of AI to drive market
    REST OF EUROPE
  • 11.4 ASIA PACIFIC
    ASIA PACIFIC: AI AS A SERVICE MARKET DRIVERS
    ASIA PACIFIC: MACROECONOMIC OUTLOOK
    CHINA
    - Use of Nvidia chips via Azure and Google Cloud highlights its ability to leverage global resources
    INDIA
    - Growth of AIaaS market in India driven by combination of government initiatives and technological innovation
    JAPAN
    - Incorporation of cutting-edge technologies and solid government backing for modernization to drive market
    SOUTH KOREA
    - Development and distribution of AI outlining guidelines for safe and ethical use of AI technologies to drive market
    AUSTRALIA & NEW ZEALAND
    - Initiatives promoting innovation and ethical practices to foster environment conducive to sustainable AI development
    SINGAPORE
    - Singapore government investment to support initiatives that uplift various sectors by integrating AI
    REST OF ASIA PACIFIC
  • 11.5 MIDDLE EAST & AFRICA
    MIDDLE EAST & AFRICA: AI AS A SERVICE 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 to unveil various initiatives to accelerate AI development
    MEXICO
    - Vibrant startup ecosystem and increasing collaboration between government and private enterprises to drive market
    ARGENTINA
    - Rising investments to promote AI and technological innovation to drive market
    REST OF LATIN AMERICA
COMPETITIVE LANDSCAPE
252
  • 12.1 OVERVIEW
  • 12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2022–2025
  • 12.3 REVENUE ANALYSIS, 2020–2024
  • 12.4 MARKET SHARE ANALYSIS, 2024
  • 12.5 PRODUCT COMPARATIVE ANALYSIS
    PRODUCT COMPARATIVE ANALYSIS, BY AI AS A SERVICE MARKET
  • 12.6 COMPANY VALUATION AND FINANCIAL METRICS
  • 12.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024
    STARS
    EMERGING LEADERS
    PERVASIVE PLAYERS
    PARTICIPANTS
    COMPANY FOOTPRINT: KEY PLAYERS, 2024
    - Company footprint
    - Region footprint
    - Business function footprint
    - Product type footprint
    - End user footprint
  • 12.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024
    PROGRESSIVE COMPANIES
    RESPONSIVE COMPANIES
    DYNAMIC COMPANIES
    STARTING BLOCKS
    COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024
    - Detailed list of key startups/SMEs
    - Competitive benchmarking of key startups/SMEs
  • 12.9 COMPETITIVE SCENARIO AND TRENDS
    PRODUCT LAUNCHES/ENHANCEMENTS
    DEALS
COMPANY PROFILES
280
  • 13.1 INTRODUCTION
  • 13.2 KEY PLAYERS
    AWS
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    GOOGLE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    MICROSOFT
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    IBM
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    ORACLE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    SAP
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    SALESFORCE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    NVIDIA
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    ALIBABA CLOUD
    - OPENAI
    - RAINBIRD TECHNOLOGIES
    - BIGML
    - COHERE
    - GLEAN
    - SCALE AI
    - LANDING AI
    - YELLOW.AI
    - ANYSCALE
    - MISTRAL AI
    - H20.AI
    - SYNTHESIA
    - CLARIFAI
    - MONKEYLEARN
  • 13.3 OTHER PLAYERS
    FICO
    - Business overview
    - Products/Solutions/Services Offered
    - Recent developments
    CLOUDERA
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    SERVICENOW
    HPE
    ALTAIR
    SAS INSTITUTE
    DATAROBOT
    DATABRICKS
    C3 AI
    - DOMO
    - INTELLIAS
    - YOTTAMINE ANALYTICS
    - INFLECTION AI
    - ABRIDGE
    - CODEIUM
    - ARTHUR
    - LEVITY AI
    - UNSTRUCTURED.IO
    - KATONIC AI
    - DEEPSEARCH
    - MINDTITAN
    - VISO.AI
    - SOFTWEB SOLUTIONS
ADJACENT AND RELATED MARKETS
377
  • 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
388
  • 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, 2020–2024
  • TABLE 2 LIST OF PRIMARY PARTICIPANTS
  • TABLE 3 FACTOR ANALYSIS
  • TABLE 4 GLOBAL AI AS A SERVICE MARKET SIZE AND GROWTH RATE, 2020–2024 (USD MILLION, Y-O-Y %)
  • TABLE 5 GLOBAL MARKET SIZE AND GROWTH RATE, 2025–2030 (USD MILLION, Y-O-Y %)
  • TABLE 6 TABLE 1: US ADJUSTED RECIPROCAL TARIFF RATES
  • TABLE 7 ROLE OF KEY PLAYERS IN MARKET ECOSYSTEM
  • TABLE 8 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 9 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 10 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 11 MIDDLE EAST & AFRICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 12 LATIN AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 13 PATENTS FILED, 2016–2025
  • TABLE 14 LIST OF FEW PATENTS IN MARKET, 2024–2025
  • TABLE 15 AVERAGE SELLING PRICE TREND OF AI AS A SERVICE SOLUTIONS, BY PRODUCT TYPE, 2025
  • TABLE 16 MARKET: KEY CONFERENCES & EVENTS, 2025–2026
  • 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 AI AS A SERVICE MARKET, BY PRODUCT TYPE, 2020–2024 (USD MILLION)
  • TABLE 21 MARKET, BY PRODUCT TYPE, 2025–2030 (USD MILLION)
  • TABLE 22 CHATBOTS & AI AGENTS: MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 23 CHATBOTS & AI AGENTS: MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 24 MACHINE LEARNING FRAMEWORKS: MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 25 MACHINE LEARNING FRAMEWORKS: MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 26 APPLICATION PROGRAMMING INTERFACE: MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 27 APPLICATION PROGRAMMING INTERFACE: MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 28 NO-CODE OR LOW-CODE ML TOOLS: MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 29 NO-CODE OR LOW-CODE ML TOOLS: MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 30 DATA LABELING & PRE-PROCESSING TOOLS: MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 31 DATA LABELING & PRE-PROCESSING TOOLS: MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 32 AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2020–2024 (USD MILLION)
  • TABLE 33 MARKET, BY ORGANIZATION SIZE, 2025–2030 (USD MILLION)
  • TABLE 34 SMES: MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 35 SMES: MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 36 LARGE ENTERPRISES: MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 37 LARGE ENTERPRISES: MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 38 MARKET, BY BUSINESS FUNCTION, 2020–2024 (USD MILLION)
  • TABLE 39 MARKET, BY BUSINESS FUNCTION, 2025–2030 (USD MILLION)
  • TABLE 40 FINANCE: MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 41 FINANCE: MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 42 MARKETING: MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 43 MARKETING: MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 44 SALES: AI AS A SERVICE MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 45 SALES: MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 46 OPERATIONS & SUPPLY CHAIN: MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 47 OPERATIONS & SUPPLY CHAIN: MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 48 HUMAN RESOURCES: MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 49 HUMAN RESOURCES: MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 50 MARKET, BY SERVICE TYPE, 2020–2024 (USD MILLION)
  • TABLE 51 MARKET, BY SERVICE TYPE, 2025–2030 (USD MILLION)
  • TABLE 52 MACHINE LEARNING AS A SERVICE: MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 53 MACHINE LEARNING AS A SERVICE: MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 54 NATURAL LANGUAGE PROCESSING AS A SERVICE: MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 55 NATURAL LANGUAGE PROCESSING AS A SERVICE: MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 56 COMPUTER VISION AS A SERVICE: MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 57 COMPUTER VISION AS A SERVICE: MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 58 PREDICTIVE ANALYTICS AND DATA SCIENCE AS A SERVICE: MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 59 PREDICTIVE ANALYTICS AND DATA SCIENCE AS A SERVICE: MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 60 GENERATIVE AI AS A SERVICE: MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 61 GENERATIVE AI AS A SERVICE: MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 62 AI AS A SERVICE MARKET, BY END USER, 2020–2024 (USD MILLION)
  • TABLE 63 MARKET, BY END USER, 2025–2030 (USD MILLION)
  • TABLE 64 MARKET, BY ENTERPRISE, 2020–2024 (USD MILLION)
  • TABLE 65 MARKET, BY ENTERPRISE, 2025–2030 (USD MILLION)
  • TABLE 66 BFSI: MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 67 BFSI: MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 68 RETAIL & E-COMMERCE: MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 69 RETAIL & E-COMMERCE: MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 70 MARKET, BY TECHNOLOGY & SOFTWARE, 2020–2024 (USD MILLION)
  • TABLE 71 MARKET, BY TECHNOLOGY & SOFTWARE, 2025–2030 (USD MILLION)
  • TABLE 72 TECHNOLOGY & SOFTWARE: MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 73 TECHNOLOGY & SOFTWARE: MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 74 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 75 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 76 MANUFACTURING: AI AS A SERVICE MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 77 MANUFACTURING: MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 78 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 79 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 80 ENERGY & UTILITIES: MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 81 ENERGY & UTILITIES: MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 82 GOVERNMENT & DEFENSE: MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 83 GOVERNMENT & DEFENSE: MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 84 TELECOMMUNICATIONS: MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 85 TELECOMMUNICATIONS: MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 86 TRANSPORTATION & LOGISTICS: MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 87 TRANSPORTATION & LOGISTICS: MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 88 OTHER ENTERPRISE LEVEL END USERS: MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 89 OTHER ENTERPRISE LEVEL END USERS: MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 90 INDIVIDUAL USERS: MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 91 INDIVIDUAL USERS: MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 92 MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 93 MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 94 NORTH AMERICA: AI AS A SERVICE MARKET, BY PRODUCT TYPE, 2020–2024 (USD MILLION)
  • TABLE 95 NORTH AMERICA: MARKET, BY PRODUCT TYPE, 2025–2030 (USD MILLION)
  • TABLE 96 NORTH AMERICA: MARKET, BY ORGANIZATION SIZE, 2020–2024 (USD MILLION)
  • TABLE 97 NORTH AMERICA: MARKET, BY ORGANIZATION SIZE, 2025–2030 (USD MILLION)
  • TABLE 98 NORTH AMERICA: MARKET, BY BUSINESS FUNCTION, 2020–2024 (USD MILLION)
  • TABLE 99 NORTH AMERICA: MARKET, BY BUSINESS FUNCTION, 2025–2030 (USD MILLION)
  • TABLE 100 NORTH AMERICA: MARKET, BY SERVICE TYPE, 2020–2024 (USD MILLION)
  • TABLE 101 NORTH AMERICA: MARKET, BY SERVICE TYPE, 2025–2030 (USD MILLION)
  • TABLE 102 NORTH AMERICA: MARKET, BY END USER, 2020–2024 (USD MILLION)
  • TABLE 103 NORTH AMERICA: MARKET, BY END USER, 2025–2030 (USD MILLION)
  • TABLE 104 NORTH AMERICA: MARKET, BY ENTERPRISES, 2020–2024 (USD MILLION)
  • TABLE 105 NORTH AMERICA: MARKET, BY ENTERPRISES, 2025–2030 (USD MILLION)
  • TABLE 106 NORTH AMERICA: MARKET, BY COUNTRY, 2020–2024 (USD MILLION)
  • TABLE 107 NORTH AMERICA: MARKET, BY COUNTRY, 2025–2030 (USD MILLION)
  • TABLE 108 US: MARKET, BY ORGANIZATION SIZE, 2020–2024 (USD MILLION)
  • TABLE 109 US: MARKET, BY ORGANIZATION SIZE, 2025–2030 (USD MILLION)
  • TABLE 110 CANADA: MARKET, BY ORGANIZATION SIZE, 2020–2024 (USD MILLION)
  • TABLE 111 CANADA: MARKET, BY ORGANIZATION SIZE, 2025–2030 (USD MILLION)
  • TABLE 112 EUROPE: AI AS A SERVICE MARKET, BY PRODUCT TYPE, 2020–2024 (USD MILLION)
  • TABLE 113 EUROPE: MARKET, BY PRODUCT TYPE, 2025–2030 (USD MILLION)
  • TABLE 114 EUROPE: MARKET, BY ORGANIZATION SIZE, 2020–2024 (USD MILLION)
  • TABLE 115 EUROPE: MARKET, BY ORGANIZATION SIZE, 2025–2030 (USD MILLION)
  • TABLE 116 EUROPE: MARKET, BY BUSINESS FUNCTION, 2020–2024 (USD MILLION)
  • TABLE 117 EUROPE: MARKET, BY BUSINESS FUNCTION, 2025–2030 (USD MILLION)
  • TABLE 118 EUROPE: MARKET, BY SERVICE TYPE, 2020–2024 (USD MILLION)
  • TABLE 119 EUROPE: MARKET, BY SERVICE TYPE, 2025–2030 (USD MILLION)
  • TABLE 120 EUROPE: MARKET, BY END USER, 2020–2024 (USD MILLION)
  • TABLE 121 EUROPE: MARKET, BY END USER, 2025–2030 (USD MILLION)
  • TABLE 122 EUROPE: MARKET, BY ENTERPRISES, 2020–2024 (USD MILLION)
  • TABLE 123 EUROPE: MARKET, BY ENTERPRISES, 2025–2030 (USD MILLION)
  • TABLE 124 EUROPE: MARKET, BY COUNTRY, 2020–2024 (USD MILLION)
  • TABLE 125 EUROPE: MARKET, BY COUNTRY, 2025–2030 (USD MILLION)
  • TABLE 126 UK: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2020–2024 (USD MILLION)
  • TABLE 127 UK: MARKET, BY ORGANIZATION SIZE, 2025–2030 (USD MILLION)
  • TABLE 128 GERMANY: MARKET, BY ORGANIZATION SIZE, 2020–2024 (USD MILLION)
  • TABLE 129 GERMANY: MARKET, BY ORGANIZATION SIZE, 2025–2030 (USD MILLION)
  • TABLE 130 FRANCE: MARKET, BY ORGANIZATION SIZE, 2020–2024 (USD MILLION)
  • TABLE 131 FRANCE: MARKET, BY ORGANIZATION SIZE, 2025–2030 (USD MILLION)
  • TABLE 132 ITALY: MARKET, BY ORGANIZATION SIZE, 2020–2024 (USD MILLION)
  • TABLE 133 ITALY: MARKET, BY ORGANIZATION SIZE, 2025–2030 (USD MILLION)
  • TABLE 134 SPAIN: MARKET, BY ORGANIZATION SIZE, 2020–2024 (USD MILLION)
  • TABLE 135 SPAIN: MARKET, BY ORGANIZATION SIZE, 2025–2030 (USD MILLION)
  • TABLE 136 REST OF EUROPE: MARKET, BY ORGANIZATION SIZE, 2020–2024 (USD MILLION)
  • TABLE 137 REST OF EUROPE: MARKET, BY ORGANIZATION SIZE, 2025–2030 (USD MILLION)
  • TABLE 138 ASIA PACIFIC: AI AS A SERVICE MARKET, BY PRODUCT TYPE, 2020–2024 (USD MILLION)
  • TABLE 139 ASIA PACIFIC: MARKET, BY PRODUCT TYPE, 2025–2030 (USD MILLION)
  • TABLE 140 ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE, 2020–2024 (USD MILLION)
  • TABLE 141 ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE, 2025–2030 (USD MILLION)
  • TABLE 142 ASIA PACIFIC: MARKET, BY BUSINESS FUNCTION, 2020–2024 (USD MILLION)
  • TABLE 143 ASIA PACIFIC: MARKET, BY BUSINESS FUNCTION, 2025–2030 (USD MILLION)
  • TABLE 144 ASIA PACIFIC: MARKET, BY SERVICE TYPE, 2020–2024 (USD MILLION)
  • TABLE 145 ASIA PACIFIC: MARKET, BY SERVICE TYPE, 2025–2030 (USD MILLION)
  • TABLE 146 ASIA PACIFIC: MARKET, BY END USER, 2020–2024 (USD MILLION)
  • TABLE 147 ASIA PACIFIC: MARKET, BY END USER, 2025–2030 (USD MILLION)
  • TABLE 148 ASIA PACIFIC: MARKET, BY ENTERPRISES, 2020–2024 (USD MILLION)
  • TABLE 149 ASIA PACIFIC: MARKET, BY ENTERPRISES, 2025–2030 (USD MILLION)
  • TABLE 150 ASIA PACIFIC: MARKET, BY COUNTRY, 2020–2024 (USD MILLION)
  • TABLE 151 ASIA PACIFIC: MARKET, BY COUNTRY, 2025–2030 (USD MILLION)
  • TABLE 152 CHINA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2020–2024 (USD MILLION)
  • TABLE 153 CHINA: MARKET, BY ORGANIZATION SIZE, 2025–2030 (USD MILLION)
  • TABLE 154 INDIA: MARKET, BY ORGANIZATION SIZE, 2020–2024 (USD MILLION)
  • TABLE 155 INDIA: MARKET, BY ORGANIZATION SIZE, 2025–2030 (USD MILLION)
  • TABLE 156 JAPAN: MARKET, BY ORGANIZATION SIZE, 2020–2024 (USD MILLION)
  • TABLE 157 JAPAN: MARKET, BY ORGANIZATION SIZE, 2025–2030 (USD MILLION)
  • TABLE 158 SOUTH KOREA: MARKET, BY ORGANIZATION SIZE, 2020–2024 (USD MILLION)
  • TABLE 159 SOUTH KOREA: MARKET, BY ORGANIZATION SIZE, 2025–2030 (USD MILLION)
  • TABLE 160 AUSTRALIA & NEW ZEALAND: MARKET, BY ORGANIZATION SIZE, 2020–2024 (USD MILLION)
  • TABLE 161 AUSTRALIA & NEW ZEALAND: MARKET, BY ORGANIZATION SIZE, 2025–2030 (USD MILLION)
  • TABLE 162 SINGAPORE: MARKET, BY ORGANIZATION SIZE, 2020–2024 (USD MILLION)
  • TABLE 163 SINGAPORE: MARKET, BY ORGANIZATION SIZE, 2025–2030 (USD MILLION)
  • TABLE 164 REST OF ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE, 2020–2024 (USD MILLION)
  • TABLE 165 REST OF ASIA PACIFIC: MARKET, BY ORGANIZATION SIZE, 2025–2030 (USD MILLION)
  • TABLE 166 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY PRODUCT TYPE, 2020–2024 (USD MILLION)
  • TABLE 167 MIDDLE EAST & AFRICA: MARKET, BY PRODUCT TYPE, 2025–2030 (USD MILLION)
  • TABLE 168 MIDDLE EAST & AFRICA: MARKET, BY ORGANIZATION SIZE, 2020–2024 (USD MILLION)
  • TABLE 169 MIDDLE EAST & AFRICA: MARKET, BY ORGANIZATION SIZE, 2025–2030 (USD MILLION)
  • TABLE 170 MIDDLE EAST & AFRICA: MARKET, BY BUSINESS FUNCTION, 2020–2024 (USD MILLION)
  • TABLE 171 MIDDLE EAST & AFRICA: MARKET, BY BUSINESS FUNCTION, 2025–2030 (USD MILLION)
  • TABLE 172 MIDDLE EAST & AFRICA: MARKET, BY SERVICE TYPE, 2020–2024 (USD MILLION)
  • TABLE 173 MIDDLE EAST & AFRICA: MARKET, BY SERVICE TYPE, 2025–2030 (USD MILLION)
  • TABLE 174 MIDDLE EAST & AFRICA: MARKET, BY END USER, 2020–2024 (USD MILLION)
  • TABLE 175 MIDDLE EAST & AFRICA: MARKET, BY END USER, 2025–2030 (USD MILLION)
  • TABLE 176 MIDDLE EAST & AFRICA: MARKET, BY ENTERPRISES, 2020–2024 (USD MILLION)
  • TABLE 177 MIDDLE EAST & AFRICA: MARKET, BY ENTERPRISES, 2025–2030 (USD MILLION)
  • TABLE 178 MIDDLE EAST & AFRICA: MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 179 MIDDLE EAST AND AFRICA: MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 180 MIDDLE EAST: MARKET, BY COUNTRY, 2020–2024 (USD MILLION)
  • TABLE 181 MIDDLE EAST: MARKET, BY COUNTRY, 2025–2030 (USD MILLION)
  • TABLE 182 SAUDI ARABIA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2020–2024 (USD MILLION)
  • TABLE 183 SAUDI ARABIA: MARKET, BY ORGANIZATION SIZE, 2025–2030 (USD MILLION)
  • TABLE 184 UAE: MARKET, BY ORGANIZATION SIZE, 2020–2024 (USD MILLION)
  • TABLE 185 UAE: MARKET, BY ORGANIZATION SIZE, 2025–2030 (USD MILLION)
  • TABLE 186 QATAR: MARKET, BY ORGANIZATION SIZE, 2020–2024 (USD MILLION)
  • TABLE 187 QATAR: MARKET, BY ORGANIZATION SIZE, 2025–2030 (USD MILLION)
  • TABLE 188 TURKEY: MARKET, BY ORGANIZATION SIZE, 2020–2024 (USD MILLION)
  • TABLE 189 TURKEY: MARKET, BY ORGANIZATION SIZE, 2025–2030 (USD MILLION)
  • TABLE 190 REST OF MIDDLE EAST: MARKET, BY ORGANIZATION SIZE, 2020–2024 (USD MILLION)
  • TABLE 191 REST OF MIDDLE EAST: MARKET, BY ORGANIZATION SIZE, 2025–2030 (USD MILLION)
  • TABLE 192 AFRICA: MARKET, BY ORGANIZATION SIZE, 2020–2024 (USD MILLION)
  • TABLE 193 AFRICA: MARKET, BY ORGANIZATION SIZE, 2025–2030 (USD MILLION)
  • TABLE 194 LATIN AMERICA: AI AS A SERVICE MARKET, BY PRODUCT TYPE, 2020–2024 (USD MILLION)
  • TABLE 195 LATIN AMERICA: MARKET, BY PRODUCT TYPE, 2025–2030 (USD MILLION)
  • TABLE 196 LATIN AMERICA: MARKET, BY ORGANIZATION SIZE, 2020–2024 (USD MILLION)
  • TABLE 197 LATIN AMERICA: MARKET, BY ORGANIZATION SIZE, 2025–2030 (USD MILLION)
  • TABLE 198 LATIN AMERICA: MARKET, BY BUSINESS FUNCTION, 2020–2024 (USD MILLION)
  • TABLE 199 LATIN AMERICA: MARKET, BY BUSINESS FUNCTION, 2025–2030 (USD MILLION)
  • TABLE 200 LATIN AMERICA: MARKET, BY SERVICE TYPE, 2020–2024 (USD MILLION)
  • TABLE 201 LATIN AMERICA: MARKET, BY SERVICE TYPE, 2025–2030 (USD MILLION)
  • TABLE 202 LATIN AMERICA: MARKET, BY END USER, 2020–2024 (USD MILLION)
  • TABLE 203 LATIN AMERICA: MARKET, BY END USER, 2025–2030 (USD MILLION)
  • TABLE 204 LATIN AMERICA: MARKET, BY ENTERPRISES, 2020–2024 (USD MILLION)
  • TABLE 205 LATIN AMERICA: MARKET, BY ENTERPRISES, 2025–2030 (USD MILLION)
  • TABLE 206 LATIN AMERICA: MARKET, BY COUNTRY, 2020–2024 (USD MILLION)
  • TABLE 207 LATIN AMERICA: MARKET, BY COUNTRY, 2025–2030 (USD MILLION)
  • TABLE 208 BRAZIL: MARKET, BY ORGANIZATION SIZE, 2020–2024 (USD MILLION)
  • TABLE 209 BRAZIL: MARKET, BY ORGANIZATION SIZE, 2025–2030 (USD MILLION)
  • TABLE 210 MEXICO: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2020–2024 (USD MILLION)
  • TABLE 211 MEXICO: MARKET, BY ORGANIZATION SIZE, 2025–2030 (USD MILLION)
  • TABLE 212 ARGENTINA: MARKET, BY ORGANIZATION SIZE, 2020–2024 (USD MILLION)
  • TABLE 213 ARGENTINA: MARKET, BY ORGANIZATION SIZE, 2025–2030 (USD MILLION)
  • TABLE 214 REST OF LATIN AMERICA: MARKET, BY ORGANIZATION SIZE, 2020–2024 (USD MILLION)
  • TABLE 215 REST OF LATIN AMERICA: MARKET, BY ORGANIZATION SIZE, 2025–2030 (USD MILLION)
  • TABLE 216 OVERVIEW OF STRATEGIES ADOPTED BY KEY AI AS A SERVICE VENDORS, 2022–2025
  • TABLE 217 MARKET: DEGREE OF COMPETITION
  • TABLE 218 REGION FOOTPRINT
  • TABLE 219 BUSINESS FUNCTION FOOTPRINT
  • TABLE 220 PRODUCT TYPE FOOTPRINT
  • TABLE 221 END USER FOOTPRINT
  • TABLE 222 MARKET: KEY STARTUPS/SMES, 2024
  • TABLE 223 MARKET: COMPETITIVE BENCHMARKING OF STARTUPS/SMES, 2024
  • TABLE 224 MARKET: PRODUCT LAUNCHES AND ENHANCEMENTS, JANUARY 2022–APRIL 2025
  • TABLE 225 AI AS A SERVICE MARKET: DEALS, JANUARY 2022–APRIL 2025
  • TABLE 226 AWS: COMPANY OVERVIEW
  • TABLE 227 AWS: SOLUTIONS/SERVICES OFFERED
  • TABLE 228 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 229 AWS: DEALS
  • TABLE 230 GOOGLE: COMPANY OVERVIEW
  • TABLE 231 GOOGLE: SOLUTIONS OFFERED
  • TABLE 232 GOOGLE: PRODUCT ENHANCEMENTS
  • TABLE 233 GOOGLE: DEALS
  • TABLE 234 MICROSOFT: COMPANY OVERVIEW
  • TABLE 235 MICROSOFT: SOLUTIONS/SERVICES OFFERED
  • TABLE 236 MICROSOFT: PRODUCT ENHANCEMENTS
  • TABLE 237 MICROSOFT: DEALS
  • TABLE 238 IBM: COMPANY OVERVIEW
  • TABLE 239 IBM: SOLUTIONS/SERVICES OFFERED
  • TABLE 240 IBM: PRODUCT ENHANCEMENTS
  • TABLE 241 IBM: DEALS
  • TABLE 242 ORACLE: COMPANY OVERVIEW
  • TABLE 243 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 244 ORACLE: PRODUCT ENHANCEMENTS
  • TABLE 245 ORACLE: DEALS
  • TABLE 246 SAP: COMPANY OVERVIEW
  • TABLE 247 SAP: SOLUTIONS/SERVICES OFFERED
  • TABLE 248 SAP: PRODUCT ENHANCEMENTS
  • TABLE 249 SAP: DEALS
  • TABLE 250 SALESFORCE: COMPANY OVERVIEW
  • TABLE 251 SALESFORCE: SOLUTIONS/SERVICES OFFERED
  • TABLE 252 SALESFORCE: PRODUCT ENHANCEMENTS
  • TABLE 253 SALESFORCE: DEALS
  • TABLE 254 NVIDIA: COMPANY OVERVIEW
  • TABLE 255 NVIDIA: SOLUTIONS OFFERED
  • TABLE 256 NVIDIA: PRODUCT ENHANCEMENTS
  • TABLE 257 NVIDIA: DEALS
  • TABLE 258 FICO: COMPANY OVERVIEW
  • TABLE 259 FICO: SOLUTIONS OFFERED
  • TABLE 260 FICO: PRODUCT ENHANCEMENTS
  • TABLE 261 FICO: DEALS
  • TABLE 262 CLOUDERA: COMPANY OVERVIEW
  • TABLE 263 CLOUDERA: SOLUTIONS OFFERED
  • TABLE 264 CLOUDERA: PRODUCT ENHANCEMENTS
  • TABLE 265 CLOUDERA: DEALS
  • TABLE 266 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019–2023 (USD BILLION)
  • TABLE 267 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024–2030 (USD BILLION)
  • TABLE 268 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2019–2023 (USD BILLION)
  • TABLE 269 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2024–2030 (USD BILLION)
  • TABLE 270 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD BILLION)
  • TABLE 271 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2024–2030 (USD BILLION)
  • TABLE 272 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2019–2023 (USD BILLION)
  • TABLE 273 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2024–2030 (USD BILLION)
  • TABLE 274 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019–2023 (USD BILLION)
  • TABLE 275 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024–2030 (USD BILLION)
  • TABLE 276 GENERATIVE AI MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 277 GENERATIVE AI MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 278 GENERATIVE AI MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 279 GENERATIVE AI MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 280 GENERATIVE AI MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 281 GENERATIVE AI MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
  • TABLE 282 GENERATIVE AI MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 283 GENERATIVE AI MARKET, BY REGION, 2024–2030 (USD MILLION)
LIST OF FIGURES
 
  • FIGURE 1 AI AS A SERVICE 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 SHARE IN 2025
  • FIGURE 9 SALES TO BE LEADING SEGMENT IN 2025
  • FIGURE 10 SMALL & MEDIUM-SIZED ENTERPRISES TO BE FASTER-GROWING DURING FORECAST PERIOD
  • FIGURE 11 MACHINE LEARNING AS A SERVICE SEGMENT OF TO HOLD LARGEST MARKET IN 2025
  • FIGURE 12 ENTERPRISES SEGMENT SET TO REGISTER LARGER MARKET SHARE IN 2025
  • FIGURE 13 HEALTHCARE & LIFE SCIENCES TO WITNESS HIGHEST GROWTH RATE DURING FORECAST PERIOD
  • FIGURE 14 ASIA PACIFIC TO REGISTER FASTEST GROWTH BETWEEN 2025 AND 2030
  • FIGURE 15 RISE OF PRE-TRAINED AI MODELS AND GROWING DEMAND FOR AI-ENHANCED CYBERSECURITY SOLUTIONS TO DRIVE MARKET GROWTH
  • FIGURE 16 COMPUTER VISION AS A SERVICE 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 2025
  • FIGURE 18 NORTH AMERICA TO HOLD LARGEST MARKET SHARE IN 2025
  • FIGURE 19 AI AS A SERVICE 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 EVOLUTION OF MARKET
  • FIGURE 22 MARKET ECOSYSTEM
  • FIGURE 23 MARKET: SUPPLY CHAIN ANALYSIS
  • FIGURE 24 GLOBAL AI FUNDING, 2015–2024
  • FIGURE 25 LEADING AI AS A SERVICE VENDORS, BY FUNDING VALUE (BILLION) AND FUNDING ROUND, 2016–2025
  • FIGURE 26 KEY ARCHITECTURAL COMPONENTS OF AIAAS
  • FIGURE 27 NUMBER OF PATENTS GRANTED FOR MARKET, 2016–2025
  • FIGURE 28 REGIONAL ANALYSIS OF PATENTS GRANTED, 2016–2025
  • FIGURE 29 AVERAGE SELLING PRICE TREND OF KEY PLAYERS FOR TOP 3 SERVICE TYPES, 2025
  • FIGURE 30 AI AS A SERVICE MARKET: PORTER’S FIVE FORCES ANALYSIS
  • FIGURE 31 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • FIGURE 32 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END USERS
  • FIGURE 33 KEY BUYING CRITERIA FOR TOP THREE END USERS
  • FIGURE 34 NO-CODE OR LOW-CODE ML TOOLS TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 35 SMES SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 36 OPERATIONS & SUPPLY CHAIN SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 37 GENERATIVE AI AS A SERVICE SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 38 INDIVIDUAL USERS SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 39 HEALTHCARE & LIFE SCIENCES SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 40 ASIA PACIFIC TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 41 INDIA TO REGISTER HIGHEST GROWTH RATE IN MARKET DURING FORECAST PERIOD
  • FIGURE 42 NORTH AMERICA: MARKET SNAPSHOT
  • FIGURE 43 ASIA PACIFIC: MARKET SNAPSHOT
  • FIGURE 44 REVENUE ANALYSIS OF KEY PLAYERS, 2020–2024
  • FIGURE 45 SHARE OF LEADING COMPANIES IN MARKET, 2024
  • FIGURE 46 PRODUCT COMPARATIVE ANALYSIS, BY MARKET
  • FIGURE 47 FINANCIAL METRICS OF KEY VENDORS
  • FIGURE 48 YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND 5-YEAR STOCK BETA OF KEY VENDORS
  • FIGURE 49 MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS), 2024
  • FIGURE 50 COMPANY FOOTPRINT
  • FIGURE 51 AI AS A SERVICE MARKET: COMPANY EVALUATION MATRIX (STARTUPS/SMES), 2024
  • FIGURE 52 AWS: COMPANY SNAPSHOT
  • FIGURE 53 GOOGLE: COMPANY SNAPSHOT
  • FIGURE 54 MICROSOFT: COMPANY SNAPSHOT
  • FIGURE 55 IBM: COMPANY SNAPSHOT
  • FIGURE 56 ORACLE: COMPANY SNAPSHOT
  • FIGURE 57 SAP: COMPANY SNAPSHOT
  • FIGURE 58 SALESFORCE: COMPANY SNAPSHOT
  • FIGURE 59 NVIDIA: COMPANY SNAPSHOT
  • FIGURE 60 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 identify and collect 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 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 understand 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 solution, 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 AaaS 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 and USD 1 billion
Source: MarketsandMarkets Analysis

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

Market Size Estimation

Multiple approaches were adopted to estimate and forecast the AI as a service market. The first approach estimates market size by summating companies’ revenue generated by selling 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 AI as a Service market was prepared. The revenue contribution of the market vendors was estimated through annual reports, press releases, funding, investor presentations, paid databases, and primary interviews. Each vendor’s offerings were evaluated based on the breadth of 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 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

The bottom-up approach identified the adoption rate of AI as a Service solutions and services among different end users in key countries, concerning their regions contributing the most to the market share. For cross-validation, the adoption of AI as a Service solution among industries, along with different use cases concerning 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 AI as a Service 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 AI as a Service market size and the 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 determining 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 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. AIaaS provides a low-risk, cost-effective approach for enterprises to automate processes, enhance decision-making, and drive operational efficiency while 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 define, describe, and forecast the AI as a Service market, by product type, organization size, business function, service type, and end user
  • 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 AI as a Service 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 per your company’s specific needs. The following customization options are available for the report:

Product Analysis

  • The product quadrant gives a detailed comparison of each company’s product portfolio.

Geographic Analysis as per Feasibility

  • Further breakup of the North American AI as a Service 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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