AI as a service market is anticipated to grow at a significant CAGR of 17.7% during the forecast period (2024-2031). The market growth is attributed to the growing adoption of AI as a service in no-code or low-code Machine Learning (ML) services, ML frameworks, and Application Programming Interfaces (APIs). With little risk and no significant upfront costs, AI as a service (AIaaS) empowers people and organizations to experiment with AI and deploy it for large-scale use cases. AIaaS enables companies to integrate AI-powered tools and functionalities into their systems. Organizations can deploy AI without having to invest in resources to design and implement it from the start using AIaaS. Thus, it provides a low-risk and economical solution. According to the International Trade Administration (ITA), in May 2022,AI global funding doubled to $66.8 billion, and a record 65 AI companies reached $1.0 billion + valuations, up 442.0% from the previous year. Each year, more and more companies and governments globally adopt AI solutions.
Market Dynamics
Increasing Expansion of Cloud AI Services
The growing incorporation of AI services in the cloud from major IT companies like Google, Microsoft, and Amazon is contributing significantlytowards market growth. These companies invest substantial resources in creating cloud AI platforms and provide them as a service to enterprises of all sizes, facilitating enterprises' access to and adoption of AI solutions without requiring them to invest in expensive infrastructure and knowledge. The demand for cloud AI solutions is anticipated to increase overall as more companies look to leverage AI and ML to accelerate innovation and expansion. The cloud AI industry has new opportunities owing to the growing usage of hybrid clouds.
Growing Trend Toward Specialized AI Services
The growing adoption of specialized AI services to perform a specific task or solve a specific problem is also contributing towards market growth. It is also known as narrow AI or weak AI. Typically, specialized AI systems receive a lot of training data relevant to the task or issue they are intended to address. Specialized AI, in contrast to general AI, is created to excel at a particular activity or task domain. It is widely utilized in sectors including hiring, healthcare, banking, and manufacturing and usually calls for a lot of training data. Specialized AI services, such as generative AI, facilitate the application of AI to apps and business operations by providing developers with prebuilt ML models.
Market Segmentation
Our in-depth analysis of the global AI as a service market includes the following segments by technology, cloud type, offering, and vertical.
Machine Learning is Projected to Hold as the Largest Segment
Based on thetechnology,the global AI as a service market is sub-segmented into machine learning, natural language processing, context awareness, and computer vision. Among these machine learning, sub-segment is expected to hold the largest share of the market. This is attributed to the development of ML platforms, including reinforcement ML algorithms, supervised ML algorithms, unsupervised ML algorithms, and others in the region. For instance, in April 2023, Fujitsu Ltd. introduced the platform Fujitsu Kozuchistreamlining access to AI and ML solutions. The new platform enables customers from a wide range of industries including manufacturing, retail, finance, and healthcare to accelerate the testing and deployment of advanced AI technologies for the unique business challenges
Software as a Service (SaaS) Sub-segment to Hold a Considerable Market Share
Based onthe offering,the global AI as a servicemarket is sub-segmented into infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). Among these, the software as a service (SaaS) sub-segment is expected to holdaconsiderable share of the market.The segmental growth is attributed to the increasing SaaS solutions that provide cost-efficiency by offering subscription-based models and reducing hardware, software licenses, and Telecom infrastructure expenses.For instance, in May 2023,Nokia announced an expansion of its fixed network solutions suite available through a SaaS delivery model, with the launch of AVA fixed network insights enabling operators to strengthen their customer service offering while reducing operating costs.
Regional Outlook
The globalAI as a service market is further segmented based on geography including North America (the US, and Canada), Europe (the UK, Italy, Spain, Germany, France, and the Rest of Europe), Asia-Pacific (India, China, Japan, South Korea, and Rest of Asia- Pacific), and the Rest of the World (the Middle East & Africa, and Latin America).
Increasing Adoption of AI as a Servicein Asia-Pacific
Newly Funded Artificial Intelligence Companies in Each Year that Received an Investment of More Than $1.5 Million
Source:ourworldindata
Global AI as a Service Market Growth by Region 2024-2031
North America Holds Major Market Share
Among all the regions, North America holds a significant share owing to the presence of numerous prominent companies and AIaaS in the region. The growth is mainly attributed to the growing numbers of AI startups with increasing adoption of AI technologies in large industries and IT infrastructure, government regulations regarding data security, and cloud application and security information services contribute the regional growth. According to the US Census Bureau, in November 2023, businesses in the information sector reported greater levels of AI use than the national average, 13.8% of businesses indicated that they were currently using the technology.Only 3.8% of businesses reported using AI to produce goods and services, according to the most recent Business Trends and Outlook Survey (BTOS).
Market Players Outlook
*Note: Major Players Sorted in No Particular Order.
The major companies serving the global AI as a servicemarket include Amazon Web Services, Inc., Google LLC, IBM Corp., Microsoft Corp., and Nvidia Corp., among others. The market players are increasingly focusing on business expansion and product development by applying strategies such as collaborations, mergers, and acquisitions to stay competitive in the market. For instance, in February 2024, Wipro and IBM Corp. expanded their partnership to offer new AI Services and support to clients. The Wipro enterprise AI-ready platform leverages the IBM Watson AI and data platform, including watsonx.ai, and watsonx.data, and watsonx.governance and AI assistants, to deliver to clients an interoperable service that helps accelerate AI adoption. Also, in May 2022, SK Telecom launched an AI service named ‘A. (A dot)’ as an open beta version for Android on One Store and Google Play.
Recent Development
The Report Covers
1. Report Summary
• Current Industry Analysis and Growth Potential Outlook
1.1. Research Methods and Tools
1.2. Market Breakdown
1.2.1. By Segments
1.2.2. By Region
2. Market Overview and Insights
2.1. Scope of the Report
2.2. Analyst Insight & Current Market Trends
2.2.1. Key Findings
2.2.2. Recommendations
2.2.3. Conclusion
3. Competitive Landscape
3.1. Key Company Analysis
3.2. Amazon Web Services, Inc.
3.2.1. Overview
3.2.2. Financial Analysis
3.2.3. SWOT Analysis
3.2.4. Recent Developments
3.3. Google LLC
3.3.1. Overview
3.3.2. Financial Analysis
3.3.3. SWOT Analysis
3.3.4. Recent Developments
3.4. Microsoft Corp.
3.4.1. Overview
3.4.2. Financial Analysis
3.4.3. SWOT Analysis
3.4.4. Recent Developments
3.5. Key Strategy Analysis
4. Market Segmentation
4.1. Global AI as a Service Market by Technology
4.1.1. Machine Learning
4.1.2. Natural Language Processing
4.1.3. Context Awareness
4.1.4. Computer Vision
4.2. Global AI as a Service Market by Cloud Type
4.2.1. Public Cloud
4.2.2. Hybrid Cloud
4.2.3. Private Cloud
4.3. Global AI as a Service Market by Offering
4.3.1. Infrastructure as a Service (IaaS)
4.3.2. Platform as a Service (PaaS)
4.3.3. Software as a Service (SaaS)
4.4. Global AI as a Service Market by Vertical
4.4.1. BFSI
4.4.2. Healthcare and Life Sciences
4.4.3. Retail
4.4.4. IT & Telecommunication
4.4.5. Government and defence
4.4.6. Manufacturing
4.4.7. Energy & Utility
4.4.8. Others (Automotive, Education, Agriculture)
5. Regional Analysis
5.1. North America
5.1.1. United States
5.1.2. Canada
5.2. Europe
5.2.1. UK
5.2.2. Germany
5.2.3. Italy
5.2.4. Spain
5.2.5. France
5.2.6. Rest of Europe
5.3. Asia-Pacific
5.3.1. China
5.3.2. India
5.3.3. Japan
5.3.4. South Korea
5.3.5. Rest of Asia-Pacific
5.4. Rest of the World
5.4.1. Latin America
5.4.2. The Middle East & Africa
6. Company Profiles
6.1. Alibaba Group Holding Ltd.
6.2. Altair Engineering Inc.
6.3. Baidu, Inc.
6.4. Clarifai, Inc.
6.5. Databricks, Inc.
6.6. DataRobot, Inc.
6.7. H2O.ai, Inc.
6.8. Hewlett Packard Enterprise Development LP
6.9. IBM Corp.
6.10. Intel Corp.
6.11. Kyndryl Inc.
6.12. Nvidia Corp.
6.13. Oracle Corp.
6.14. Prediction Labs Inc.
6.15. Salesforce Inc.
6.16. Sift Science, Inc.
6.17. SymphonyAI LLC
6.18. Tencent Holdings Ltd.
1. GLOBAL AI AS A SERVICE MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY, 2023-2031 ($ MILLION)
2. GLOBAL AI MACHINE LEARNING AS A SERVICES MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
3. GLOBAL AI NATURAL LANGUAGE PROCESSING AS A SERVICES MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
4. GLOBAL AI CONTEXT AWARENESS AS A SERVICES MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
5. GLOBAL AI COMPUTER VISION AS A SERVICES MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
6. GLOBAL AI AS A SERVICE MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT, 2023-2031 ($ MILLION)
7. GLOBAL PUBLIC AI AS A SERVICE MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
8. GLOBAL HYBRID AI AS A SERVICE MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
9. GLOBAL PRIVATEAI AS A SERVICE MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
10. GLOBAL AI AS A SERVICE MARKET RESEARCH AND ANALYSIS BY OFFERING, 2023-2031 ($ MILLION)
11. GLOBAL AI INFRASTRUCTURE AS A SERVICE (IAAS)MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
12. GLOBAL AI PLATFORMAS A SERVICE (PAAS)MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
13. GLOBAL AI SOFTWARE AS A SERVICE (SAAS)MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
14. GLOBAL AI AS A SERVICE MARKET RESEARCH AND ANALYSIS BY VERTICAL, 2023-2031 ($ MILLION)
15. GLOBAL AI AS A SERVICE FOR BFSI MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
16. GLOBAL AI AS A SERVICE FOR HEALTHCARE AND LIFE SCIENCESMARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
17. GLOBAL AI AS A SERVICE FOR RETAILMARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
18. GLOBAL AI AS A SERVICE FOR IT & TELECOMMUNICATIONMARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
19. GLOBAL AI AS A SERVICE FOR GOVERNMENT AND DEFENCEMARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
20. GLOBAL AI AS A SERVICE FOR MANUFACTURINGMARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
21. GLOBAL AI AS A SERVICE FOR ENERGY & UTILITYMARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
22. GLOBAL AI AS A SERVICE FOR OTHERS VERTICALS MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
23. GLOBAL AI AS A SERVICE MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
24. NORTH AMERICAN AI AS A SERVICE MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2023-2031 ($ MILLION)
25. NORTH AMERICAN AI AS A SERVICE MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY, 2023-2031 ($ MILLION)
26. NORTH AMERICAN AI AS A SERVICE MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT, 2023-2031 ($ MILLION)
27. NORTH AMERICAN AI AS A SERVICE MARKET RESEARCH AND ANALYSIS BY OFFERING, 2023-2031 ($ MILLION)
28. NORTH AMERICAN AI AS A SERVICE MARKET RESEARCH AND ANALYSIS BY VERTICAL,2023-2031 ($ MILLION)
29. EUROPEAN AI AS A SERVICE MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2023-2031 ($ MILLION)
30. EUROPEAN AI AS A SERVICE MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY, 2023-2031 ($ MILLION)
31. EUROPEAN AI AS A SERVICE MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT, 2023-2031 ($ MILLION)
32. EUROPEAN AI AS A SERVICE MARKET RESEARCH AND ANALYSIS BY OFFERING, 2023-2031 ($ MILLION)
33. EUROPEAN AI AS A SERVICE MARKET RESEARCH AND ANALYSIS BY VERTICAL, 2023-2031 ($ MILLION)
34. ASIA-PACIFIC AI AS A SERVICE MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2023-2031 ($ MILLION)
35. ASIA-PACIFICAI AS A SERVICE MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY, 2023-2031 ($ MILLION)
36. ASIA-PACIFICAI AS A SERVICE MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT, 2023-2031 ($ MILLION)
37. ASIA-PACIFICAI AS A SERVICE MARKET RESEARCH AND ANALYSIS BY OFFERING, 2023-2031 ($ MILLION)
38. ASIA-PACIFICAI AS A SERVICE MARKET RESEARCH AND ANALYSIS BY VERTICAL, 2023-2031 ($ MILLION)
39. REST OF THE WORLD AI AS A SERVICE MARKET RESEARCH AND ANALYSIS BY REGION, 2023-2031 ($ MILLION)
40. REST OF THE WORLD AI AS A SERVICE MARKET RESEARCH AND ANALYSIS BY TECHNOLOGY, 2023-2031 ($ MILLION)
41. REST OF THE WORLD AI AS A SERVICE MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT, 2023-2031 ($ MILLION)
42. REST OF THE WORLD AI AS A SERVICE MARKET RESEARCH AND ANALYSIS BY OFFERING, 2023-2031 ($ MILLION)
43. REST OF THE WORLD AI AS A SERVICE MARKET RESEARCH AND ANALYSIS BY VERTICAL, 2023-2031 ($ MILLION)
1. GLOBAL AI AS A SERVICE MARKET SHARE BY TECHNOLOGY, 2023 VS 2031 (%)
2. GLOBAL AI MACHINE LEARNING AS A SERVICES MARKET SHARE BY REGION, 2023 VS 2031 (%)
3. GLOBAL AI NATURAL LANGUAGE PROCESSINGAS A SERVICES MARKET SHARE BY REGION, 2023 VS 2031 (%)
4. GLOBAL AI CONTEXT AWARENESSAS A SERVICES MARKET SHARE BY REGION, 2023 VS 2031 (%)
5. GLOBAL AI COMPUTER VISIONAS A SERVICES MARKET SHARE BY REGION, 2023 VS 2031 (%)
6. GLOBAL AI AS A SERVICEMARKET SHAREBY DEPLOYMENT,2023 VS 2031 (%)
7. GLOBAL PUBLIC AI AS A SERVICE MARKET SHARE BY REGION, 2023 VS 2031 (%)
8. GLOBAL HYBRID AI AS A SERVICE MARKET SHARE BY REGION, 2023 VS 2031 (%)
9. GLOBAL PRIVATEAI AS A SERVICE MARKET SHARE BY REGION, 2023 VS 2031 (%)
10. GLOBAL AI AS A SERVICEMARKET SHAREBY OFFERING,2023 VS 2031 (%)
11. GLOBAL AI INFRASTRUCTURE AS A SERVICE (IAAS)MARKET SHARE BY REGION, 2023 VS 2031 (%)
12. GLOBAL AI PLATFORM AS A SERVICE (PAAS)MARKET SHARE BY REGION, 2023 VS 2031 (%)
13. GLOBAL AI SOFTWARE AS A SERVICE (SAAS)MARKET SHARE BY REGION, 2023 VS 2031 (%)
14. GLOBAL AI AS A SERVICEMARKET SHAREBY VERTICAL,2023 VS 2031 (%)
15. GLOBAL AI AS A SERVICEFOR BFSIMARKET SHARE BY REGION, 2023 VS 2031 (%)
16. GLOBAL AI AS A SERVICEFOR HEALTHCARE AND LIFE SCIENCESMARKET SHARE BY REGION, 2023 VS 2031 (%)
17. GLOBAL AI AS A SERVICEFOR RETAILMARKET SHARE BY REGION, 2023 VS 2031 (%)
18. GLOBAL AI AS A SERVICEFOR IT & TELECOMMARKET SHARE BY REGION, 2023 VS 2031 (%)
19. GLOBAL AI AS A SERVICEFOR GOVERNMENT AND DEFENCEMARKET SHARE BY REGION, 2023 VS 2031 (%)
20. GLOBAL AI AS A SERVICEFOR MANUFACTURINGMARKET SHARE BY REGION, 2023 VS 2031 (%)
21. GLOBAL AI AS A SERVICEFOR ENERGY & UTILITYMARKET SHARE BY REGION, 2023 VS 2031 (%)
22. GLOBAL AI AS A SERVICEFOR OTHERS VERTICALS MARKET SHARE BY REGION, 2023 VS 2031 (%)
23. US AI AS A SERVICE MARKET SIZE, 2023-2031 ($ MILLION)
24. CANADA AI AS A SERVICE MARKET SIZE, 2023-2031 ($ MILLION)
25. UK AI AS A SERVICE MARKET SIZE, 2023-2031 ($ MILLION)
26. FRANCE AI AS A SERVICE MARKET SIZE, 2023-2031 ($ MILLION)
27. GERMANY AI AS A SERVICE MARKET SIZE, 2023-2031 ($ MILLION)
28. ITALY AI AS A SERVICE MARKET SIZE, 2023-2031 ($ MILLION)
29. SPAIN AI AS A SERVICE MARKET SIZE, 2023-2031 ($ MILLION)
30. REST OF EUROPE AI AS A SERVICE MARKET SIZE, 2023-2031 ($ MILLION)
31. INDIA AI AS A SERVICE MARKET SIZE, 2023-2031 ($ MILLION)
32. CHINA AI AS A SERVICE MARKET SIZE, 2023-2031 ($ MILLION)
33. JAPAN AI AS A SERVICE MARKET SIZE, 2023-2031 ($ MILLION)
34. SOUTH KOREA AI AS A SERVICE MARKET SIZE, 2023-2031 ($ MILLION)
35. REST OF ASIA-PACIFIC AI AS A SERVICE MARKET SIZE, 2023-2031 ($ MILLION)
36. LATIN AMERICAAI AS A SERVICE MARKET SIZE, 2023-2031 ($ MILLION)
37. MIDDLE EAST AND AFRICAAI AS A SERVICE MARKET SIZE, 2023-2031 ($ MILLION)