The Asia Pacific AI as a Service Market should witness market growth of 41.5% CAGR during the forecast period (2023-2029).
AI systems frequently have to deal with harsh data conditions in the manufacturing environment, including noisy and unstructured data. Therefore, organizations can attain stability and robustness by integrating AI technologies and knowledge. The model must be kept on track in the face of shifting data conditions, which can be challenging to achieve but crucial to sustain. Monitoring, noise detection, version control, and upgrades are all part of the costly maintenance of an AI model. AIaaS does away with the necessity for internal AI model maintenance.
When necessary, AI is used as a service to automate the process with the least amount of human involvement. These days, it also involves computer vision and machine learning, which is helping to completely overhaul the commercial sector. AI is being embraced by manufacturers and businesses to lower overall operational costs and, as a result, boost the return realized by the enterprise. Artificial intelligence enables the organization to invest significantly less overall, which in turn serves to strengthen the company's economy. Distributors and retailers also employ AI to manage vast amounts of data and records that aid in improved assessments of the revenue return of the company. AI is also being heavily utilized in the healthcare sector, which helps to keep track of patient information and the surgical operations being performed in hospitals.
China's government is pushing the pace of its sectors' digital transformation to previously unheard-of heights. Beijing intends to improve the regulation of the digital economy by broadening the scope of digital public services. The Chinese government is achieving this by increasing funding for 6G R&D and promoting innovation in crucial industries like integrated circuits (IC) and AI (artificial intelligence). The provision of improved technical performance while simultaneously protecting data security should receive increased importance from Chinese cloud service providers. In addition, the government's promotion of the digital transformation of larger businesses increased the use of the cloud. Throughout the forecast period, each of these factors is anticipated to accelerate the regional market's expansion.
The China market dominated the Asia Pacific AI as a Service Market by Country in 2022 and would continue to be a dominant market till 2029; thereby, achieving a market value of $5,958.8 million by 2029. The Japan market is estimated to grow a CAGR of 40.6% during (2023-2029). Additionally, The India market would showcase a CAGR of 42.4% during (2023-2029).
Based on Organization Size, the market is segmented into Large Enterprises and Small & Medium-Sized Enterprises. Based on Offering, the market is segmented into Infrastructure as a Service, Platform as a Service and Software as a Service. Based on Technology, the market is segmented into Machine Learning, Natural Language Processing, Context Awareness and Computer Vision. Based on Cloud Type, the market is segmented into Public Cloud, Private Cloud and Hybrid Cloud. Based on Vertical, the market is segmented into BFSI, IT & Telecom, Retail & eCommerce, Manufacturing, Healthcare & Life Sciences, Government & Defense, Government & Defense and Others. Based on countries, the market is segmented into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include IBM Corporation, Microsoft Corporation, Amazon Web Services, Inc. (Amazon.com, Inc.), Oracle Corporation, Google LLC (Alphabet Inc.), Fair Isaac Corporation (FICO), Baidu, Inc., SAS Institute, Inc., SAP SE and Salesforce, Inc.
AI systems frequently have to deal with harsh data conditions in the manufacturing environment, including noisy and unstructured data. Therefore, organizations can attain stability and robustness by integrating AI technologies and knowledge. The model must be kept on track in the face of shifting data conditions, which can be challenging to achieve but crucial to sustain. Monitoring, noise detection, version control, and upgrades are all part of the costly maintenance of an AI model. AIaaS does away with the necessity for internal AI model maintenance.
When necessary, AI is used as a service to automate the process with the least amount of human involvement. These days, it also involves computer vision and machine learning, which is helping to completely overhaul the commercial sector. AI is being embraced by manufacturers and businesses to lower overall operational costs and, as a result, boost the return realized by the enterprise. Artificial intelligence enables the organization to invest significantly less overall, which in turn serves to strengthen the company's economy. Distributors and retailers also employ AI to manage vast amounts of data and records that aid in improved assessments of the revenue return of the company. AI is also being heavily utilized in the healthcare sector, which helps to keep track of patient information and the surgical operations being performed in hospitals.
China's government is pushing the pace of its sectors' digital transformation to previously unheard-of heights. Beijing intends to improve the regulation of the digital economy by broadening the scope of digital public services. The Chinese government is achieving this by increasing funding for 6G R&D and promoting innovation in crucial industries like integrated circuits (IC) and AI (artificial intelligence). The provision of improved technical performance while simultaneously protecting data security should receive increased importance from Chinese cloud service providers. In addition, the government's promotion of the digital transformation of larger businesses increased the use of the cloud. Throughout the forecast period, each of these factors is anticipated to accelerate the regional market's expansion.
The China market dominated the Asia Pacific AI as a Service Market by Country in 2022 and would continue to be a dominant market till 2029; thereby, achieving a market value of $5,958.8 million by 2029. The Japan market is estimated to grow a CAGR of 40.6% during (2023-2029). Additionally, The India market would showcase a CAGR of 42.4% during (2023-2029).
Based on Organization Size, the market is segmented into Large Enterprises and Small & Medium-Sized Enterprises. Based on Offering, the market is segmented into Infrastructure as a Service, Platform as a Service and Software as a Service. Based on Technology, the market is segmented into Machine Learning, Natural Language Processing, Context Awareness and Computer Vision. Based on Cloud Type, the market is segmented into Public Cloud, Private Cloud and Hybrid Cloud. Based on Vertical, the market is segmented into BFSI, IT & Telecom, Retail & eCommerce, Manufacturing, Healthcare & Life Sciences, Government & Defense, Government & Defense and Others. Based on countries, the market is segmented into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include IBM Corporation, Microsoft Corporation, Amazon Web Services, Inc. (Amazon.com, Inc.), Oracle Corporation, Google LLC (Alphabet Inc.), Fair Isaac Corporation (FICO), Baidu, Inc., SAS Institute, Inc., SAP SE and Salesforce, Inc.
Scope of the Study
By Organization Size
- Large Enterprises
- Small & Medium-Sized Enterprises
By Offering
- Infrastructure as a Service
- Platform as a Service
- Software as a Service
By Technology
- Machine Learning
- Natural Language Processing
- Context Awareness
- Computer Vision
By Cloud Type
- Public Cloud
- Private Cloud
- Hybrid Cloud
By Vertical
- BFSI
- IT & Telecom
- Retail & eCommerce
- Manufacturing
- Healthcare & Life Sciences
- Government & Defense
- Energy & Utilities
- Others
By Country
- China
- Japan
- India
- South Korea
- Singapore
- Malaysia
- Rest of Asia Pacific
Key Market Players
List of Companies Profiled in the Report:
- IBM Corporation
- Microsoft Corporation
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- Oracle Corporation
- Google LLC (Alphabet Inc.)
- Fair Isaac Corporation (FICO)
- Baidu, Inc.
- SAS Institute, Inc.
- SAP SE
- Salesforce, Inc.
Unique Offerings
- Exhaustive coverage
- The highest number of Market tables and figures
- Subscription-based model available
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Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market Overview
Chapter 3. Competition Analysis - Global
Chapter 4. Asia Pacific AI as a Service Market by Organization Size
Chapter 5. Asia Pacific AI as a Service Market by Offering
Chapter 6. Asia Pacific AI as a Service Market by Technology
Chapter 7. Asia Pacific AI as a Service Market by Cloud Type
Chapter 8. Asia Pacific AI as a Service Market by Vertical
Chapter 9. Asia Pacific AI as a Service Market by Country
Chapter 10. Company Profiles
Companies Mentioned
- IBM Corporation
- Microsoft Corporation
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- Oracle Corporation
- Google LLC (Alphabet Inc.)
- Fair Isaac Corporation (FICO)
- Baidu, Inc.
- SAS Institute, Inc.
- SAP SE
- Salesforce, Inc.
Methodology
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