Summary

Artificial Intelligence As A Service Market Growth & Trends

The global artificial intelligence as a service market size is anticipated to reach USD 105.04 billion by 2030, according to a new report by Grand View Research, Inc. The market is projected to grow at a CAGR of 37.4% from 2023 to 2030. AI as a service is a third-party artificial intelligence outsourcing service that allows large enterprises and SMEs to explore development opportunities without requiring a significant initial investment. It enables businesses or end-users to experiment with AI for various applications while limiting initial investment and risk. Furthermore, greater AIaaS integration with blockchain and increased investment in AIaaS by governments and end-users are likely to drive market growth.

For instance, in July 2022, the United Nations Development Programme (UNDP), a United Nations agency, and the Telangana government established data in climate resilient agriculture (DiCRA), an AI-powered platform service focused on providing farmers with climate change information. The AI platform can identify farms that are robust to climate change and others that are vulnerable using pattern detection algorithms and remote sensing.

Progressive enterprises are adopting artificial intelligence and other digital technologies to improve the overall work experience. Employees need fast support to stay productive with the change to work from anywhere, whether they have an HR request, an IT problem, or a query about the spending policy. Traditional service desks lack the speed and scale necessary to provide a hybrid workforce with 24/7 assistance in real-time. To completely solve this issue, AI, as a service provider, offers employees the assistance they require in a matter of seconds.

For instance, in July 2022, Moveworks, Inc., an artificial intelligence startup based in the United States, announced a collaboration with Tata Consultancy Services Limited. This partnership will enable customers to revamp their service desks with AI, and they can rely on the partnership's expertise and technology to automatically support their personnel. The increased usage of social media and the Internet of Things (IoT) is driving demand for AI technology, which drives the demand for AI services. Furthermore, many AI technology vendors find that providing AI tools and software is insufficient as many enterprises are searching for outsourcing services. As a result, such a factor is increasing the demand for AI services.

Businesses can improve their productivity by implementing AI-powered IoT solutions in industries such as manufacturing, retail analytics, self-driving cars, and others. This is projected to fuel the market for AI as a service. For instance, in June 2023, CLARA Analytics, Inc., a prominent provider of AI-as-a-service (AIaaS), introduced an AI platform designed specifically for general liability claims. This newly unveiled platform utilizes advanced machine learning algorithms to pinpoint variables associated with litigation, medical escalation, and other factors contributing to increased costs in the realm of general liability claims.x

Artificial Intelligence As A Service Market Report Highlights

• Based on technology, the machine learning segment led the market in 2022 with a revenue share of over 40%. The increased spending on machine learning adoption and technical improvement for workflow optimization drives the demand for the segment

• In terms of deployment, the public cloud segment dominated the market with a revenue share of 55% in 2022. The increased usage of cloud-based solutions and the need for artificial intelligence and cognitive computing drive the segment growth

• Based on service type, the services segment is anticipated to register the fastest CAGR of 39.4% over the forecast period. Managing massive amounts of data alongside other business activities becomes challenging for enterprises, creating a demand for managed and professional artificial intelligence (AI) services

• The BFSI segment led the market in 2022 with a revenue share of over 19%. Banks are employing AI skills to detect and prevent fraud, chatbots, and algorithmic trading objectives, allowing banking institutions to better their operations and increase the use of AI services in the BFSI business.

ページTOPに戻る

Table of Contents

Table Of Contents

Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope and Assumptions
1.3. Information Procurement
1.3.1. Purchased Database
1.3.2. GVR’s Internal Database
1.3.3. Secondary Sources & Third-Party Perspectives
1.3.4. Primary Research
1.4. Information Analysis
1.4.1. Data Analysis Models
1.5. Market Formulation & Data Visualization
1.6. Data Validation & Publishing
Chapter 2. Executive Summary
2.1. Market Outlook
2.2. Segmental Outlook
2.3. Competitive Insights
Chapter 3. Market Variables, Trends, and Scope
3.1. Market Lineage
3.2. Industry Value Chain Analysis
3.3. AIaaS Market - Market Dynamics
3.3.1. Market Driver Analysis
3.3.1.1. Growth in importance of data-driven decision making in business
3.3.1.2. Rise in demand for AI-powered services
3.3.2. Market Restraint Analysis
3.3.2.1. Lack of skilled employees
3.3.3. Industry Challenges
3.4. Business Environmental Tools Analysis: AIaaS Market
3.4.1. porter’s Five Forces Analysis
3.4.1.1. Bargaining Power of Suppliers
3.4.1.2. Bargaining Power of Buyers
3.4.1.3. Threat of Substitution
3.4.1.4. Threat of New Entrants
3.4.1.5. Competitive Rivalry
3.4.2. PESTLE Analysis
3.4.2.1. Political Landscape
3.4.2.2. Economic Landscape
3.4.2.3. Social Landscape
3.4.2.4. Technology Landscape
3.4.2.5. Environmental Landscape
3.4.2.6. Legal Landscape
3.5. Economic Mega Trend Analysis
Chapter 4. AIaaS Market: Technology Estimates & Trend Analysis
4.1. Artificial Intelligence As A Service (AIaaS) Market, by Technology: Key Takeaways
4.2. AIaaS Market: Technology Movement Analysis, 2022 & 2030
4.3. Machine Learning (ML)
4.3.1. Market Estimates and Forecasts, 2017 - 2030 (USD Million)
4.4. Computer Vision
4.4.1. Market Estimates and Forecasts, 2017 - 2030 (USD Million)
4.5. Natural Language Processing (Nlp)
4.5.1. Market Estimates and Forecasts, 2017 - 2030 (USD Million)
4.6. Others
4.6.1. Market Estimates and Forecasts, 2017 - 2030 (USD Million)
Chapter 5. AIaaS Market: Servie Type Estimates & Trend Analysis
5.1. Artificial Intelligence As A Service (AIaaS) Market, by Service Type: Key Takeaways
5.2. AIaaS Market: Service Type Movement Analysis, 2022 & 2030
5.3. Software
5.3.1. Market Estimates and Forecasts, 2017 - 2030 (USD Million)
5.3.2. Data Storage and Archiving
5.3.3. Modeler and Processing
5.3.4. Cloud and Web-Based Application Programming Interface (APIs)
5.3.5. Others
5.4. Services
5.4.1. Market Estimates and Forecasts, 2017 - 2030 (USD Million)
Chapter 6. AIaaS Market: Deployment Estimates & Trend Analysis
6.1. Artificial Intelligence As A Service (AIaaS) Market, by Deployment: Key Takeaways
6.2. AIaaS Market: Deployment Movement Analysis, 2022 & 2030
6.3. Public
6.3.1. Market Estimates and Forecasts, 2017 - 2030 (USD Million)
6.4. Private
6.4.1. Market Estimates and Forecasts, 2017 - 2030 (USD Million)
6.5. Hybrid
6.5.1. Market Estimates and Forecasts, 2017 - 2030 (USD Million)
Chapter 7. AIaaS Market: Organization Size Estimates & Trend Analysis
7.1. Artificial Intelligence As A Service (AIaaS) Market, by Organization Size: Key Takeaways
7.2. AIaaS Market: Organization Size Movement Analysis, 2022 & 2030
7.3. Large Enterprises
7.3.1. Market Estimates and Forecasts, 2017 - 2030 (USD Million)
7.4. Small and Medium-Sized Enterprises (Smes)
7.4.1. Market Estimates and Forecasts, 2017 - 2030 (USD Million)
Chapter 8. AIaaS Market: Vertical Estimates & Trend Analysis
8.1. Artificial Intelligence As A Service (AIaaS) Market, by Vertical: Key Takeaways
8.2. AIaaS Market: Vertical Movement Analysis, 2022 & 2030
8.3. Banking, Financial, and Insurance (BFSI)
8.3.1. Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.4. Healthcare and Life Sciences
8.4.1. Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.5. Retail
8.5.1. Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.6. It & Telecommunication
8.6.1. Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.7. Government and Defense
8.7.1. Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.8. Manufacturing
8.8.1. Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.9. Energy & Utility
8.9.1. Market Estimates and Forecasts, 2017 - 2030 (USD Million)
8.10. Others
8.10.1. Market Estimates and Forecasts, 2017 - 2030 (USD Million)
Chapter 9. AIaaS Market: Offering Estimates & Trend Analysis
9.1. Artificial Intelligence As A Service (AIaaS) Market, By Offering: Key Takeaways
9.2. AIaaS Market: Offering Movement Analysis, 2022 & 2030
9.3. SaaS
9.3.1. Market Estimates and Forecasts, 2017 - 2030 (USD Million)
9.4. PaaS
9.4.1. Market Estimates and Forecasts, 2017 - 2030 (USD Million)
9.5. IaaS
9.5.1. Market Estimates and Forecasts, 2017 - 2030 (USD Million)
Chapter 10. AIaaS Market: Regional Estimates & Trend Analysis
10.1. AIaaS Market: Regional Movement Analysis, 2022 & 2030
10.2. North America
10.2.1. Market Estimates and Forecasts, 2017 - 2030 (USD Million)
10.2.2. U.S.
10.2.2.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
10.2.3. Canada
10.2.3.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
10.3. Europe
10.3.1. Market Estimates and Forecasts, 2017 - 2030 (USD Million)
10.3.2. Germany
10.3.2.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
10.3.3. UK
10.3.3.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
10.3.4. France
10.3.4.1. Market Estimates and Forecasts, 2017 - 2030 (USD Million)
10.4. Asia Pacific
10.4.1. Market Estimates and Forecasts, 2017 - 2030 (USD Million)
10.4.2. China
10.4.2.1. Market Estimates and Forecasts, 2017 - 2030 (USD Million)
10.4.3. Japan
10.4.3.1. Market Estimates and Forecasts, 2017 - 2030 (USD Million)
10.4.4. India
10.4.4.1. Market Estimates and Forecasts, 2017 - 2030 (USD Million)
10.4.5. South Korea
10.4.5.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
10.4.6. Australia
10.4.6.1. Market Estimates and Forecasts, 2017 - 2030 (USD Million)
10.5. Latin America
10.5.1. Market Estimates and Forecasts, 2017 - 2030 (USD Million)
10.5.2. Brazil
10.5.2.1. Market Estimates and Forecasts, 2017 - 2030 (USD Million)
10.5.3. Mexico
10.5.3.1. Market Estimates and Forecasts, 2017 - 2030 (USD Million)
10.6. Middle East & Africa
10.6.1. Market Estimates and Forecasts, 2017 - 2030 (USD Million)
10.6.2. Kingdom Of Saudi Arabia (KSA)
10.6.2.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
10.6.3. UAE
10.6.3.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
10.6.4. South Africa
10.6.4.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
Chapter 11. Competitive Landscape
11.1. Company Categorization
11.2. Company Market Positioning
11.3. Company Market Share Analysis, 2022
11.4. Company Heat Map Analysis
11.5. Strategy Mapping
11.6. Company Profiles/Listing
11.6.1. Amazon Web Services, Inc.
11.6.1.1. Overview
11.6.1.2. Financial Performance
11.6.1.3. Product Benchmarking
11.6.1.4. Strategic Initiatives
11.6.2. Salesforce, Inc.
11.6.2.1. Overview
11.6.2.2. Financial Performance
11.6.2.3. Product Benchmarking
11.6.2.4. Strategic Initiatives
11.6.3. International Business Machines Corporation
11.6.3.1. Overview
11.6.3.2. Financial Performance
11.6.3.3. Product Benchmarking
11.6.3.4. Strategic Initiatives
11.6.4. Intel Corporation
11.6.4.1. Overview
11.6.4.2. Financial Performance
11.6.4.3. Product Benchmarking
11.6.4.4. Strategic Initiatives
11.6.5. Microsoft
11.6.5.1. Overview
11.6.5.2. Financial Performance
11.6.5.3. Product Benchmarking
11.6.5.4. Strategic Initiatives
11.6.6. BigML, INC.
11.6.6.1. Overview
11.6.6.2. Financial Performance
11.6.6.3. Product Benchmarking
11.6.6.4. Strategic Initiatives
11.6.7. Google LLC
11.6.7.1. Overview
11.6.7.2. Financial Performance
11.6.7.3. Product Benchmarking
11.6.7.4. Strategic Initiatives
11.6.8. SAP SE
11.6.8.1. Overview
11.6.8.2. Financial Performance
11.6.8.3. Product Benchmarking
11.6.8.4. Strategic Initiatives
11.6.9. Fair Isaac Corporation
11.6.9.1. Overview
11.6.9.2. Financial Performance
11.6.9.3. Product Benchmarking
11.6.9.4. Strategic Initiatives
11.6.10. SAS INSTITUTE INC.
11.6.10.1. Overview
11.6.10.2. Financial Performance
11.6.10.3. Product Benchmarking
11.6.10.4. Strategic Initiatives