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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

Publisher SPER Market Research Pvt. Ltd.
Published Feb 11, 2025
Length 242 Pages
SKU # SPER19805274

Description

AI as a Service Market Introduction and Overview

According to SPER market research, ‘Global AI as a Service Market Size- By Technology, By Service Type, By Deployment, By Organization Size, By Vertical, By Offering – Regional Outlook, Competitive Strategies and Segment Forecast to 2034’ state that the Global AI as a Service Market is predicted to reach 356.88 billion by 2034 with a CAGR of 36.34%.

Artificial intelligence as a service (AIaaS) is a cloud-based solution that enables enterprises to access and apply AI capabilities without the need for considerable in-house expertise or infrastructure. AIaaS enables enterprises to incorporate modern technologies such as machine learning, natural language processing, computer vision, and predictive analytics into their operations. This service model offers flexibility, scalability, and cost-efficiency, allowing businesses to use AI tools to automate workflows, analyze massive datasets, improve customer interactions, and drive innovation.

Restraints: One significant barrier is data security and privacy issues, as firms must share sensitive information with third-party service providers in order to harness AI capabilities. Furthermore, many firms face a challenge due to a lack of experienced people capable of efficiently implementing and managing AI systems. Integration issues with current systems and infrastructure hamper AI adoption, while regulatory and ethical concerns about AI usage, such as algorithm bias and compliance with changing regulations, add to the difficulty.

Scope of the Report:

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.

AI as a Service Market Segmentation:

By Technology: Based on the Technology, Global AI as a Service Market is segmented as; Machine Learning (ML), Computer Vision, Natural Language Processing (NLP).

By Service Type: Based on the Service Type, Global AI as a Service Market is segmented as; Software, Services.

By Deployment: Based on the Deployment, Global AI as a Service Market is segmented as; Public, Private, Hybrid.

By Organization Size: Based on the Organization Size, Global AI as a Service Market is segmented as; Large Enterprises, SMEs.

By Vertical: Based on the Vertical, Global AI as a Service Market is segmented as; BFSI, Healthcare and Life Sciences, Retail, IT & Telecommunication, Manufacturing, Energy & Utility.

By Offering: Based on the Offering, Global AI as a Service Market is segmented as; SaaS, PaaS, IaaS.

By Region: This research also includes data for North America, Latin America, Asia-Pacific, Europe, Middle East & Africa.

Table of Contents

242 Pages
1. Introduction
1.1. Scope of the report
1.2. Market segment analysis
2. Research Methodology
2.1. Research data source
2.1.1. Secondary Data
2.1.2. Primary Data
2.1.3. SPERs internal database
2.1.4. Premium insight from KOLs
2.2. Market size estimation
2.2.1. Top-down and Bottom-up approach
2.3. Data triangulation
3. Executive Summary
4. Market Dynamics
4.1. Driver, Restraint, Opportunity and Challenges analysis
4.1.1. Drivers
4.1.2. Restraints
4.1.3. Opportunities
4.1.4. Challenges
5. Market variable and outlook
5.1. SWOT Analysis
5.1.1. Strengths
5.1.2. Weaknesses
5.1.3. Opportunities
5.1.4. Threats
5.2. PESTEL Analysis
5.2.1. Political Landscape
5.2.2. Economic Landscape
5.2.3. Social Landscape
5.2.4. Technological Landscape
5.2.5. Environmental Landscape
5.2.6. Legal Landscape
5.3. PORTERs Five Forces
5.3.1. Bargaining power of suppliers
5.3.2. Bargaining power of buyers
5.3.3. Threat of Substitute
5.3.4. Threat of new entrant
5.3.5. Competitive rivalry
5.4. Heat Map Analysis
6. Competitive Landscape
6.1. Global AI as a Service Market Manufacturing Base Distribution, Sales Area, Product Type
6.2. Mergers & Acquisitions, Partnerships, Product Launch, and Collaboration in Global AI as a Service Market
7. Global AI as a Service Market, By Technology (USD Million) 2021-2034
7.1. Machine Learning (ML)
7.2. Computer Vision
7.3. Natural Language Processing (NLP)
8. Global AI as a Service Market, By Service Type (USD Million) 2021-2034
8.1. Software
8.1.1. Data Storage and Archiving
8.1.2. Modeler and Processing
8.1.3. Cloud and Web-Based Application Programming Interface (APIs)
8.2. Services
9. Global AI as a Service Market, By Deployment (USD Million) 2021-2034
9.1. Public
9.2. Private
9.3. Hybrid
10. Global AI as a Service Market, By Organization Size (USD Million) 2021-2034
10.1. Large Enterprises
10.2. SMEs
11. Global AI as a Service Market, By Vertical (USD Million) 2021-2034
11.1. BFSI
11.2. Healthcare and Life Sciences
11.3. Retail
11.4. IT & Telecommunication
11.5. Manufacturing
11.6. Energy & Utility
12. Global AI as a Service Market, By Offering (USD Million) 2021-2034
12.1. SaaS
12.2. PaaS
12.3. IaaS
13. Global AI as a Service Market, (USD Million) 2021-2034
13.1. Global AI as a Service Market Size and Market Share
14. Global AI as a Service Market, By Region, (USD Million) 2021-2034
14.1. Asia-Pacific
14.1.1. Australia
14.1.2. China
14.1.3. India
14.1.4. Japan
14.1.5. South Korea
14.1.6. Rest of Asia-Pacific
14.2. Europe
14.2.1. France
14.2.2. Germany
14.2.3. Italy
14.2.4. Spain
14.2.5. United Kingdom
14.2.6. Rest of Europe
14.3. Middle East and Africa
14.3.1. Kingdom of Saudi Arabia
14.3.2. United Arab Emirates
14.3.3. Qatar
14.3.4. South Africa
14.3.5. Egypt
14.3.6. Morocco
14.3.7. Nigeria
14.3.8. Rest of Middle-East and Africa
14.4. North America
14.4.1. Canada
14.4.2. Mexico
14.4.3. United States
14.5. Latin America
14.5.1. Argentina
14.5.2. Brazil
14.5.3. Rest of Latin America
15. Company Profile
15.1. Amazon Web Services, Inc
15.1.1. Company details
15.1.2. Financial outlook
15.1.3. Product summary
15.1.4. Recent developments
15.2. BigML, Inc
15.2.1. Company details
15.2.2. Financial outlook
15.2.3. Product summary
15.2.4. Recent developments
15.3. Fair Isaac Corporation
15.3.1. Company details
15.3.2. Financial outlook
15.3.3. Product summary
15.3.4. Recent developments
15.4. Google LLC
15.4.1. Company details
15.4.2. Financial outlook
15.4.3. Product summary
15.4.4. Recent developments
15.5. IBM Corporation
15.5.1. Company details
15.5.2. Financial outlook
15.5.3. Product summary
15.5.4. Recent developments
15.6. Intel Corporation
15.6.1. Company details
15.6.2. Financial outlook
15.6.3. Product summary
15.6.4. Recent developments
15.7. Microsoft
15.7.1. Company details
15.7.2. Financial outlook
15.7.3. Product summary
15.7.4. Recent developments
15.8. Salesforce, Inc
15.8.1. Company details
15.8.2. Financial outlook
15.8.3. Product summary
15.8.4. Recent developments
15.9. SAP SE
15.9.1. Company details
15.9.2. Financial outlook
15.9.3. Product summary
15.9.4. Recent developments
15.10. Siemens
15.10.1. Company details
15.10.2. Financial outlook
15.10.3. Product summary
15.10.4. Recent developments
15.11. Others
16. Conclusion
17. List of Abbreviations
18. Reference Links

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