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Global Artificial Intelligence As A Service (AIaaS) Market Size, By Technology (Machine Learning, Computer Vision, NLP), By Service Type (Software, Services), By Deployment, By Organization Size, By Vertical, By Offering, And Regional Forecasts, 2022 - 20

Publisher Factview Research
Published Oct 03, 2025
Length 285 Pages
SKU # FAVR20464070

Description

The Global Artificial Intelligence As A Service (AIaaS) Market was valued at USD 16.07 billion in 2024 and is projected to expand at a CAGR of 37.9% over the forecast period 2025-2034. The rapid adoption of cloud-based AI solutions, increasing demand for automation, and advancements in big data analytics are key factors driving the market growth. The integration of AI in cybersecurity, automation, and predictive analytics across industries such as BFSI, healthcare, IT & telecom, and manufacturing further accelerates demand.

AIaaS allows businesses to access artificial intelligence capabilities such as machine learning (ML), computer vision, and natural language processing (NLP) without investing in expensive infrastructure or AI expertise. The increasing use of AI-powered services for chatbots, customer experience enhancement, risk management, and intelligent automation fuels market expansion.

As industries embrace digital transformation, AI-driven analytics and automation solutions reduce operational costs, optimize workflows, and enhance decision-making capabilities. The rise of conversational AI, AI-driven security systems, and smart analytics strengthens the demand for AIaaS solutions worldwide.

AIaaS solutions offer scalability, flexibility, and cost-effectiveness, making AI adoption more accessible for SMEs and enterprises alike. Furthermore, the rise of edge AI, federated learning, and AI-powered software as a service (SaaS) is reshaping business operations, smart city initiatives, and cloud computing frameworks.

The North American region leads the market due to the presence of major cloud service providers, strong investment in AI research, and widespread adoption of AI-powered enterprise solutions. Meanwhile, the Asia-Pacific region is experiencing the fastest growth, driven by increasing AI adoption in IT, BFSI, and retail along with rising investments in AI startups and cloud computing.

Major Market Players Included in This Report Are:
  • Amazon Web Services, Inc.
  • Salesforce, Inc.
  • IBM Corporation
  • Intel Corporation
  • BigML, Inc.
  • Fair Isaac Corporation
  • Microsoft Corporation
  • Google LLC
  • SAP SE
  • Siemens
The Detailed Segments and Sub-segments of the Market are Explained Below:

By Technology:
  • Machine Learning (ML)
  • Computer Vision
  • Natural Language Processing (NLP)
  • Others
By Service Type:
  • Software
  • Data Storage and Archiving
  • Modeler and Processing
  • Cloud and Web-Based Application Programming Interfaces (APIs)
  • Others
  • Services
By Deployment:
  • Public Cloud
  • Private Cloud
  • Hybrid Cloud
By Organization Size:
  • Large Enterprises
  • Small & Medium Enterprises (SMEs)
By Vertical:
  • BFSI
  • Healthcare & Life Sciences
  • Retail
  • IT & Telecommunications
  • Manufacturing
  • Energy & Utility
  • Others
By Offering:
  • Software as a Service (SaaS)
  • Platform as a Service (PaaS)
  • Infrastructure as a Service (IaaS)
By Region:

North America
  • U.S.
  • Canada
  • Mexico
Europe
  • UK
  • Germany
  • France
  • Spain
  • Italy
  • Rest of Europe
Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • Rest of Asia Pacific
Latin America
  • Brazil
  • Mexico
Middle East & Africa (MEA)
  • UAE
  • South Africa
  • Saudi Arabia
  • Rest of MEA
Years Considered for the Study are as Follows:
  • Historical Year – 2022
  • Base Year – 2024
  • Forecast Period – 2024 to 2034
Key Takeaways:
  • Market Estimates & Forecast for 10 years (2022-2034).
  • Annualized revenues and regional-level analysis for each market segment.
  • Detailed analysis of the geographical landscape with country-level insights.
  • Competitive landscape with information on major players in the market.
  • Analysis of key business strategies and recommendations on future market approaches.
  • Analysis of the competitive structure of the market.
  • Demand-side and supply-side analysis of the market.

Table of Contents

285 Pages
Chapter 1. Global Artificial Intelligence as a Service Market Executive Summary
1.1. Global Artificial Intelligence as a Service Market Size & Forecast (2024-2034)
1.2. Regional Summary
1.3. Segmental Summary
1.3.1. By Technology
1.3.2. By Service Type
1.3.3. By Deployment
1.3.4. By Organization Size
1.3.5. By Vertical
1.3.6. By Offering
1.4. Key Trends
1.5. Recession Impact
1.6 Industry Metrics
1.7 Investment Analysis
1.8 Investment Rationale
1.9. Analyst Recommendation & Conclusion
Chapter 2. Global Artificial Intelligence as a Service Market Definition and Research Assumptions
2.1. Research Objective
2.2. Market Definition
2.3. Research Assumptions
2.3.1. Inclusion & Exclusion
2.3.2. Limitations
2.3.3. Supply Side Analysis
2.3.3.1. Availability
2.3.3.2. Infrastructure
2.3.3.3. Regulatory Environment
2.3.3.4. Market Competition
2.3.3.5. Economic Viability (Consumer’s Perspective)
2.3.4. Demand Side Analysis
2.3.4.1. Regulatory Frameworks
2.3.4.2. Technological Advancements
2.3.4.3. Environmental Considerations
2.3.4.4. Consumer Awareness & Acceptance
2.4. Estimation Methodology
2.5. Years Considered for the Study
2.6. Currency Conversion Rates
Chapter 3. Global Artificial Intelligence as a Service Market Dynamics
3.1. Market Drivers
3.1.1. Growing Adoption of Cloud-Based AI Solutions
3.1.2. Rising Demand for AI-Powered Automation
3.1.3. Expansion of IoT and 5G Technologies
3.2. Market Challenges
3.2.1. Data Privacy and Security Concerns
3.2.2. High Initial Implementation Costs
3.3. Market Opportunities
3.3.1. Advancements in Edge AI Computing
3.3.2. Integration of AI with Blockchain
3.3.3. Increasing Investment in AI-Powered Cybersecurity Solutions
Chapter 4. Global Artificial Intelligence as a Service Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. PESTEL Analysis
4.2.1. Political
4.2.2. Economic
4.2.3. Social
4.2.4. Technological
4.2.5. Environmental
4.2.6. Legal
4.3. Top Investment Opportunities
4.4. Top Winning Strategies
4.5. Disruptive Trends
4.6. Industry Expert Perspective
4.7. Analyst Recommendation & Conclusion
Chapter 5. Global Artificial Intelligence as a Service Market Size & Forecasts by Technology (2024-2034)
5.1. Segment Dashboard
5.2. Global Artificial Intelligence as a Service Market Revenue Trend Analysis, 2024 & 2032 (USD Billion)
5.2.1. Machine Learning (ML)
5.2.2. Computer Vision
5.2.3. Natural Language Processing (NLP)
5.2.4. Others
Chapter 6. Global Artificial Intelligence as a Service Market Size & Forecasts by Service Type (2024-2034)
6.1. Segment Dashboard
6.2. Global Artificial Intelligence as a Service Market Revenue Trend Analysis, 2024 & 2032 (USD Billion)
6.2.1. Software
6.2.2. Services
Chapter 7. Global Artificial Intelligence as a Service Market Size & Forecasts by Deployment (2024-2034)
7.1. Segment Dashboard
7.2. Global Artificial Intelligence as a Service Market Revenue Trend Analysis, 2024 & 2032 (USD Billion)
7.2.1. Public Cloud
7.2.2. Private Cloud
7.2.3. Hybrid Cloud
Chapter 8. Global Artificial Intelligence as a Service Market Size & Forecasts by Organization Size (2024-2034)
8.1. Segment Dashboard
8.2. Global Artificial Intelligence as a Service Market Revenue Trend Analysis, 2024 & 2032 (USD Billion)
8.2.1. Large Enterprises
8.2.2. SMEs
Chapter 9. Global Artificial Intelligence as a Service Market Size & Forecasts by Vertical (2024-2034)
9.1. Segment Dashboard
9.2. Global Artificial Intelligence as a Service Market Revenue Trend Analysis, 2024 & 2032 (USD Billion)
9.2.1. BFSI
9.2.2. Healthcare & Life Sciences
9.2.3. Retail
9.2.4. IT & Telecommunications
9.2.5. Manufacturing
9.2.6. Energy & Utility
9.2.7. Others
Chapter 10. Global Artificial Intelligence as a Service Market Size & Forecasts by Offering (2024-2034)
10.1. Segment Dashboard
10.2. Global Artificial Intelligence as a Service Market Revenue Trend Analysis, 2024 & 2032 (USD Billion)
10.2.1. Software as a Service (SaaS)
10.2.2. Platform as a Service (PaaS)
10.2.3. Infrastructure as a Service (IaaS)
Chapter 11. Global Artificial Intelligence as a Service Market Size & Forecasts by Region (2024-2034)
11.1. North America Artificial Intelligence as a Service Market
11.1.1. U.S. Artificial Intelligence as a Service Market
11.1.2. Canada Artificial Intelligence as a Service Market
11.1.3. Mexico Artificial Intelligence as a Service Market
11.2. Europe Artificial Intelligence as a Service Market
11.2.1. UK
11.2.2. Germany
11.2.3. France
11.2.4. Italy
11.2.5. Spain
11.2.6. Rest of Europe
11.3. Asia-Pacific Artificial Intelligence as a Service Market
11.3.1. China
11.3.2. India
11.3.3. Japan
11.3.4. Australia
11.3.5. South Korea
11.3.6. Rest of Asia Pacific
11.4. Latin America Artificial Intelligence as a Service Market
11.4.1. Brazil
11.4.2. Mexico
11.4.3. Rest of Latin America
11.5. Middle East & Africa Artificial Intelligence as a Service Market
11.5.1. Saudi Arabia
11.5.2. South Africa
11.5.3. UAE
11.5.4. Rest of Middle East & Africa
Chapter 12. Competitive Intelligence
12.1. Key Company SWOT Analysis
12.1.1. Amazon Web Services, Inc.
12.1.2. Salesforce, Inc.
12.1.3. IBM Corporation
12.2. Top Market Strategies
12.3. Company Profiles
12.3.1. Amazon Web Services, Inc.
12.3.2. Salesforce, Inc.
12.3.3. IBM Corporation
12.3.4. Intel Corporation
12.3.5. Microsoft Corporation
12.3.6. Google LLC
12.3.7. SAP SE
12.3.8. Siemens AG
12.3.9. Oracle Corporation
12.3.10. Hewlett Packard Enterprise
Chapter 13. Research Process
13.1. Research Methodology
13.2. Data Mining
13.3. Data Validation
13.4. Publishing

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