
AI as a Service Market Size, Growth, Trends, Revenue, Demand and Future Competition
AI as a Service Market Size- By Technology, By Service Type, By Organization Size, By Deployment, By Vertical, By Offering - Regional Outlook, Competitive Strategies and Segment Forecast to 2034
Published: Feb-2025 | Report ID: IACT2512 | Pages: 1 - 242 | Formats*: |
Category : Information & Communications Technology |

- September, 2024: Salesforce, Inc. has revealed AI-powered enhancements for its Service Cloud that aim to improve the handling of customer and staff problems. The firm highlighted its continuous efforts to extend its full portfolio of AI-driven Service Cloud products, ensuring that customers, employees, and HR professionals have 24/7 access to critical information, resulting in faster and more cost-effective case resolutions. The most recent improvements include step-by-step resolution plans for support professionals, tools for monitoring customer sentiment, and AI-powered recommendations targeted at improving the entire customer experience.
- May, 2024: IBM and Salesforce announced an expanded strategic relationship that combines IBMs Watsonx Al and Data Platform capabilities with the Salesforce Einstein 1 Platform, providing customers with more choice and flexibility in Al and data adoption. This collaboration allows teams to make data-driven decisions and execute actions effortlessly inside their workflows.

Report Metric | Details |
Market size available for years | 2021-2034 |
Base year considered | 2024 |
Forecast period | 2025-2034 |
Segments covered | By Technology, By Service Type, By Organization Size, By Deployment, By Vertical, By Offering. |
Regions covered | North America, Latin America, Asia-Pacific, Europe, Middle East & Africa. |
Companies Covered | Amazon Web Services, Inc, BigML, Inc, Fair Isaac Corporation, Google LLC, IBM Corporation, Intel Corporation, Microsoft, Salesforce, Inc, SAP SE, Siemens. and others. |
- Global AI as a Service Market Size (FY’2021-FY’2034)
- Overview of Global AI as a Service Market
- Segmentation of Global AI as a Service Market By Technology (Machine Learning, Computer Vision, Natural Language Processing)
- Segmentation of Global AI as a Service Market By Service Type (Software, Services)
- Segmentation of Global AI as a Service Market By Deployment (Public, Private, Hybrid)
- Segmentation of Global AI as a Service Market By Organization Size (Large Enterprises, SMEs)
- Segmentation of Global AI as a Service Market By Vertical (BFSI, Healthcare and Life Sciences, Retail, IT & Telecommunication, Manufacturing, Energy & Utility)
- Segmentation of Global AI as a Service Market By Offering (SaaS, PaaS, IaaS)
- Statistical Snap of Global AI as a Service Market
- Expansion Analysis of Global AI as a Service Market
- Problems and Obstacles in Global AI as a Service Market
- Competitive Landscape in the Global AI as a Service Market
- Details on Current Investment in Global AI as a Service Market
- Competitive Analysis of Global AI as a Service Market
- Prominent Players in the Global AI as a Service Market
- SWOT Analysis of Global AI as a Service Market
- Global AI as a Service Market Future Outlook and Projections (FY’2025-FY’2034)
- Recommendations from Analyst
1.1.Scope of the report1.2.Market segment analysis
2.1.Research data source
2.1.1.Secondary Data2.1.2.Primary Data2.1.3.SPERs internal database2.1.4.Premium insight from KOLs
2.2.Market size estimation
2.2.1.Top-down and Bottom-up approach
2.3.Data triangulation
4.1.Driver, Restraint, Opportunity and Challenges analysis
4.1.1.Drivers4.1.2.Restraints4.1.3.Opportunities4.1.4.Challenges
5.1.SWOT Analysis
5.1.1.Strengths5.1.2.Weaknesses5.1.3.Opportunities5.1.4.Threats
5.2.PESTEL Analysis
5.2.1.Political Landscape5.2.2.Economic Landscape5.2.3.Social Landscape5.2.4.Technological Landscape5.2.5.Environmental Landscape5.2.6.Legal Landscape
5.3.PORTERs Five Forces
5.3.1.Bargaining power of suppliers5.3.2.Bargaining power of buyers5.3.3.Threat of Substitute5.3.4.Threat of new entrant5.3.5.Competitive rivalry
5.4.Heat Map Analysis
6.1.Global AI as a Service Market Manufacturing Base Distribution, Sales Area, Product Type6.2.Mergers & Acquisitions, Partnerships, Product Launch, and Collaboration in Global AI as a Service Market
7.1. Machine Learning (ML)7.2. Computer Vision7.3. Natural Language Processing (NLP)
8.1. Software
8.1.1.Data Storage and Archiving8.1.2.Modeler and Processing8.1.3.Cloud and Web-Based Application Programming Interface (APIs)
8.2. Services
9.1. Public9.2. Private9.3. Hybrid
10.1.Large Enterprises10.2.SMEs
11.1.BFSI
11.2.Healthcare and Life Sciences11.3.Retail11.4.IT & Telecommunication11.5.Manufacturing11.6.Energy & Utility
12.1.SaaS12.2.PaaS12.3.IaaS
13.1.Global AI as a Service Market Size and Market Share
14.1.Asia-Pacific
14.1.1.Australia14.1.2.China14.1.3.India14.1.4.Japan14.1.5.South Korea14.1.6.Rest of Asia-Pacific
14.2.Europe
14.2.1.France14.2.2.Germany14.2.3.Italy14.2.4.Spain14.2.5.United Kingdom14.2.6.Rest of Europe
14.3.Middle East and Africa
14.3.1.Kingdom of Saudi Arabia14.3.2.United Arab Emirates14.3.3.Qatar14.3.4.South Africa14.3.5.Egypt14.3.6.Morocco14.3.7.Nigeria14.3.8.Rest of Middle-East and Africa
14.4.North America
14.4.1.Canada14.4.2.Mexico14.4.3.United States
14.5.Latin America
14.5.1.Argentina14.5.2.Brazil14.5.3.Rest of Latin America
15.1.Amazon Web Services, Inc
15.1.1.Company details15.1.2.Financial outlook15.1.3.Product summary15.1.4.Recent developments
15.2.BigML, Inc
15.2.1.Company details15.2.2.Financial outlook15.2.3.Product summary15.2.4.Recent developments
15.3.Fair Isaac Corporation
15.3.1.Company details15.3.2.Financial outlook15.3.3.Product summary15.3.4.Recent developments
15.4.Google LLC
15.4.1.Company details15.4.2.Financial outlook15.4.3.Product summary15.4.4.Recent developments
15.5.IBM Corporation
15.5.1.Company details15.5.2.Financial outlook15.5.3.Product summary15.5.4.Recent developments
15.6.Intel Corporation
15.6.1.Company details15.6.2.Financial outlook15.6.3.Product summary15.6.4.Recent developments
15.7.Microsoft
15.7.1.Company details15.7.2.Financial outlook15.7.3.Product summary15.7.4.Recent developments
15.8.Salesforce, Inc
15.8.1.Company details15.8.2.Financial outlook15.8.3.Product summary15.8.4.Recent developments
15.9.SAP SE
15.9.1.Company details15.9.2.Financial outlook15.9.3.Product summary15.9.4.Recent developments
15.10.Siemens
15.10.1.Company details15.10.2.Financial outlook15.10.3.Product summary15.10.4.Recent developments
15.11.Others
SPER Market Research’s methodology uses great emphasis on primary research to ensure that the market intelligence insights are up to date, reliable and accurate. Primary interviews are done with players involved in each phase of a supply chain to analyze the market forecasting. The secondary research method is used to help you fully understand how the future markets and the spending patterns look likes.
The report is based on in-depth qualitative and quantitative analysis of the Product Market. The quantitative analysis involves the application of various projection and sampling techniques. The qualitative analysis involves primary interviews, surveys, and vendor briefings. The data gathered as a result of these processes are validated through experts opinion. Our research methodology entails an ideal mixture of primary and secondary initiatives.
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