Global Artificial Intelligence as a Service Market is valued approximately at USD 6.90 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 25.8% over the forecast period 2023-2030. Artificial Intelligence as a Service refers to the provision of artificial intelligence (AI) capabilities and functionalities as cloud-based services. It allows individuals and organizations to access and utilize AI technologies without the need for extensive infrastructure or expertise in AI development. The Artificial Intelligence as a Service market is expanding because of factors such as rising demand of automation and increasing adoption of IoT devices. its importance has progressively increased during the forecast period 2023-2030.
According to Statista, in 2020, the global industrial automation industry accounts approximately USD 175 billion and the market is projected to grow at a compound annual growth rate of roughly 9% worth approximately USD 265 billion by 2025. Furthermore, the global intelligent process automation market accounted for USD 20 billion in 2021, rising at a compound annual growth rate of 16% to reach about USD 30 billion by year 2024. Another important factor driving the Artificial Intelligence as a Service market is increasing adoption of IoT devices. Artificial Intelligence offers a range of services, such as machine learning, natural language processing, computer vision, and data analytics. These services are made available through application programming interfaces that developers can integrate into their own applications or systems. In addition, as per Statista, the global number of Internet of Things devices is expected to nearly triple from 9.7 billion in 2020 to more than 29 billion in 2030. China will witness the most IoT devices with roughly 5 billion consumer devices by 2030. Moreover, rising technological advancement on AI and machine learning and growing adoption of 5G network infrastructure is anticipated to create a lucrative growth opportunity for the market over the forecast period. However, high cost associated to Artificial Intelligence techniques and technical complexity stifles market growth throughout the forecast period of 2023-2030.
The key regions considered for the Global Artificial Intelligence as a Service Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 with largest market share owing to the increasing presence of leading AI companies, including Google, Microsoft, IBM, and Amazon, which have been investing heavily in AI research and development. Furthermore, Asia Pacific is expected to be the fastest growing during the forecast period, owing to factors such as increasing adoption of 5G network infrastructure and growing automation in various end use industries.
Major market player included in this report are:
- IBM Corporation
- Google Inc.
- Amazon Web Service
- Microsoft Corporation
- Salesforce Inc
- Baidu Inc
- SAP SE
- Intel Corporation
- Fair Isaac Corporation (FICO)
- BigML Inc
Recent Developments in the Market:
- In June 2023, Amazon Web Services has invested USD 100 million in the new AWS Generative AI Innovation Centre, which is intended to "help customers across numerous industries make better use of advancements in machine learning and automation, and scope high-value use cases based on best practises and industry expertise." The effort will eventually connect the cloud provider's machine learning (ML) and artificial intelligence (AI) experts with clients and partners worldwide.
Global Artificial Intelligence as a Service Market Report Scope:
- Historical Data: 2020 - 2021
- Base Year for Estimation: 2022
- Forecast period: 2023-2030
- Report Coverage: Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
- Segments Covered: Technology, Vertical, Region
- Regional Scope: North America; Europe; Asia Pacific; Latin America; Middle East & Africa
- Customization Scope: Free report customization (equivalent up to 8 analyst's working hours) with purchase. Addition or alteration to country, regional & segment scope*
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.
The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below.
By Technology
- Deep Learning
- Machine Learning
- Natural Language Processing
By Vertical
- Government
- BFSI
- Healthcare
- Manufacturing
- Retail
- Telecommunication
By Region:
- North America
- U.S.
- Canada
- Europe
- UK
- Germany
- France
- Spain
- Italy
- ROE
- Asia Pacific
- China
- India
- Japan
- Australia
- South Korea
- RoAPAC
- Latin America
- Brazil
- Mexico
- Middle East & Africa
- Saudi Arabia
- South Africa
- Rest of Middle East & Africa
Table of Contents
Chapter 1. Executive Summary
- 1.1. Market Snapshot
- 1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
- 1.2.1. Artificial Intelligence as a Service Market, by region, 2020-2030 (USD Billion)
- 1.2.2. Artificial Intelligence as a Service Market, by Technology, 2020-2030 (USD Billion)
- 1.2.3. Artificial Intelligence as a Service Market, by Vertical, 2020-2030 (USD Billion)
- 1.3. Key Trends
- 1.4. Estimation Methodology
- 1.5. Research Assumption
Chapter 2. Global Artificial Intelligence as a Service Market Definition and Scope
- 2.1. Objective of the Study
- 2.2. Market Definition & Scope
- 2.2.1. Industry Evolution
- 2.2.2. Scope of the Study
- 2.3. Years Considered for the Study
- 2.4. Currency Conversion Rates
Chapter 3. Global Artificial Intelligence as a Service Market Dynamics
- 3.1. Artificial Intelligence as a Service Market Impact Analysis (2020-2030)
- 3.1.1. Market Drivers
- 3.1.1.1. Rising demand for automation
- 3.1.1.2. Increasing adoption of IoT devices
- 3.1.2. Market Challenges
- 3.1.2.1. High Cost Associated to Artificial Intelligence Techniques
- 3.1.2.2. Technical Complexity
- 3.1.3. Market Opportunities
- 3.1.3.1. Rising technological advancement on AI and machine learning
- 3.1.3.2. Growing adoption of 5G network infrastructure
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. Porter's 5 Force Impact Analysis
- 4.3. PEST Analysis
- 4.3.1. Political
- 4.3.2. Economic
- 4.3.3. Social
- 4.3.4. Technological
- 4.3.5. Environmental
- 4.3.6. Legal
- 4.4. Top investment opportunity
- 4.5. Top winning strategies
- 4.6. COVID-19 Impact Analysis
- 4.7. Disruptive Trends
- 4.8. Industry Expert Perspective
- 4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Artificial Intelligence as a Service Market, by Technology
- 5.1. Market Snapshot
- 5.2. Global Artificial Intelligence as a Service Market by Technology, Performance - Potential Analysis
- 5.3. Global Artificial Intelligence as a Service Market Estimates & Forecasts by Technology 2020-2030 (USD Billion)
- 5.4. Artificial Intelligence as a Service Market, Sub Segment Analysis
- 5.4.1. Deep Learning
- 5.4.2. Machine Learning
- 5.4.3. Natural Language Processing
Chapter 6. Global Artificial Intelligence as a Service Market, by Vertical
- 6.1. Market Snapshot
- 6.2. Global Artificial Intelligence as a Service Market by Vertical, Performance - Potential Analysis
- 6.3. Global Artificial Intelligence as a Service Market Estimates & Forecasts by Vertical 2020-2030 (USD Billion)
- 6.4. Artificial Intelligence as a Service Market, Sub Segment Analysis
- 6.4.1. Government
- 6.4.2. BFSI
- 6.4.3. Healthcare
- 6.4.4. Manufacturing
- 6.4.5. Retail
- 6.4.6. Telecommunication
Chapter 7. Global Artificial Intelligence as a Service Market, Regional Analysis
- 7.1. Top Leading Countries
- 7.2. Top Emerging Countries
- 7.3. Artificial Intelligence as a Service Market, Regional Market Snapshot
- 7.4. North America Artificial Intelligence as a Service Market
- 7.4.1. U.S. Artificial Intelligence as a Service Market
- 7.4.1.1. Technology breakdown estimates & forecasts, 2020-2030
- 7.4.1.2. Vertical breakdown estimates & forecasts, 2020-2030
- 7.4.2. Canada Artificial Intelligence as a Service Market
- 7.5. Europe Artificial Intelligence as a Service Market Snapshot
- 7.5.1. U.K. Artificial Intelligence as a Service Market
- 7.5.2. Germany Artificial Intelligence as a Service Market
- 7.5.3. France Artificial Intelligence as a Service Market
- 7.5.4. Spain Artificial Intelligence as a Service Market
- 7.5.5. Italy Artificial Intelligence as a Service Market
- 7.5.6. Rest of Europe Artificial Intelligence as a Service Market
- 7.6. Asia-Pacific Artificial Intelligence as a Service Market Snapshot
- 7.6.1. China Artificial Intelligence as a Service Market
- 7.6.2. India Artificial Intelligence as a Service Market
- 7.6.3. Japan Artificial Intelligence as a Service Market
- 7.6.4. Australia Artificial Intelligence as a Service Market
- 7.6.5. South Korea Artificial Intelligence as a Service Market
- 7.6.6. Rest of Asia Pacific Artificial Intelligence as a Service Market
- 7.7. Latin America Artificial Intelligence as a Service Market Snapshot
- 7.7.1. Brazil Artificial Intelligence as a Service Market
- 7.7.2. Mexico Artificial Intelligence as a Service Market
- 7.8. Middle East & Africa Artificial Intelligence as a Service Market
- 7.8.1. Saudi Arabia Artificial Intelligence as a Service Market
- 7.8.2. South Africa Artificial Intelligence as a Service Market
- 7.8.3. Rest of Middle East & Africa Artificial Intelligence as a Service Market
Chapter 8. Competitive Intelligence
- 8.1. Key Company SWOT Analysis
- 8.1.1. Company 1
- 8.1.2. Company 2
- 8.1.3. Company 3
- 8.2. Top Market Strategies
- 8.3. Company Profiles
- 8.3.1. IBM Corporation
- 8.3.1.1. Key Information
- 8.3.1.2. Overview
- 8.3.1.3. Financial (Subject to Data Availability)
- 8.3.1.4. Product Summary
- 8.3.1.5. Recent Developments
- 8.3.2. Google Inc.
- 8.3.3. Amazon Web Service
- 8.3.4. Microsoft Corporation
- 8.3.5. Salesforce Inc
- 8.3.6. Baidu Inc
- 8.3.7. SAP SE
- 8.3.8. Intel Corporation
- 8.3.9. Fair Isaac Corporation (FICO)
- 8.3.10. BigML Inc
Chapter 9. Research Process
- 9.1. Research Process
- 9.1.1. Data Mining
- 9.1.2. Analysis
- 9.1.3. Market Estimation
- 9.1.4. Validation
- 9.1.5. Publishing
- 9.2. Research Attributes
- 9.3. Research Assumption