The Asia Pacific AI Infrastructure Market is expected to witness market growth of 25.7% CAGR during the forecast period (2022-2028).
The new method combines Graphcore's IPU-POD scale-out systems with Spell's own hardware-independent MLOps software platform for deep learning (DLOps) to accelerate, simplify, and reduce the cost of developing sophisticated AI. A data-centric IT architecture for AI can also be developed, which further calls for the modernization of IT infrastructures through hybrid multi-cloud. The crucial factor businesses take into account when designing their hybrid multi-cloud is the significance of a hybrid multi-cloud in developing an AI roadmap.
Additionally, businesses should incorporate legacy data centres, public and private clouds, and a hybrid multi-cloud infrastructure. A unified IA is made possible by an integrated hybrid multi-cloud, which also enhances the portability as well as interoperability of both applications and information. Security, latency and compliance, are further problems that hybrid multi-cloud addresses. In addition to these elements, businesses must be mindful of a few requirements when creating an AI strategy.
One of the economies with the greatest rate of expansion is India, which has a keen interest in the global advancement of AI. The Indian government is making every effort to guide the nation and establish it as a leader in AI because it understands the potential. The government is attempting to overcome this advantageous ecology in order to advance AI quickly. Similarly, to support information services for the rising market, the Chinese government is accelerating the construction of new infrastructure projects including 5G networks and data centres.
The China market dominated the Asia Pacific AI Infrastructure Market by Country in 2021, and is expected to continue to be a dominant market till 2028; thereby, achieving a market value of $10,267.3 million by 2028.The Japan market is estimated to grow a CAGR of 24.9% during (2022 - 2028). Additionally, The India market is expected to experience a CAGR of 26.5% during (2022 - 2028).
Based on Offering, the market is segmented into Hardware and Server Software. Based on End User, the market is segmented into Cloud Service Providers, Enterprises and Government Organizations. Based on Deployment Type, the market is segmented into On-premise, Hybrid and Cloud. Based on Function, the market is segmented into Inference and Training. Based on Technology, the market is segmented into Machine Learning and Deep Learning. 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 Oracle Corporation, Intel Corporation, Samsung Electronics Co., Ltd. (Samsung Group), IBM Corporation, Google LLC, Amazon Web Services, Inc. (Amazon.com, Inc.), Hewlett-Packard Enterprise Company, Cisco Systems, Inc., Dell Technologies, Inc., and Toshiba Corporation.
The new method combines Graphcore's IPU-POD scale-out systems with Spell's own hardware-independent MLOps software platform for deep learning (DLOps) to accelerate, simplify, and reduce the cost of developing sophisticated AI. A data-centric IT architecture for AI can also be developed, which further calls for the modernization of IT infrastructures through hybrid multi-cloud. The crucial factor businesses take into account when designing their hybrid multi-cloud is the significance of a hybrid multi-cloud in developing an AI roadmap.
Additionally, businesses should incorporate legacy data centres, public and private clouds, and a hybrid multi-cloud infrastructure. A unified IA is made possible by an integrated hybrid multi-cloud, which also enhances the portability as well as interoperability of both applications and information. Security, latency and compliance, are further problems that hybrid multi-cloud addresses. In addition to these elements, businesses must be mindful of a few requirements when creating an AI strategy.
One of the economies with the greatest rate of expansion is India, which has a keen interest in the global advancement of AI. The Indian government is making every effort to guide the nation and establish it as a leader in AI because it understands the potential. The government is attempting to overcome this advantageous ecology in order to advance AI quickly. Similarly, to support information services for the rising market, the Chinese government is accelerating the construction of new infrastructure projects including 5G networks and data centres.
The China market dominated the Asia Pacific AI Infrastructure Market by Country in 2021, and is expected to continue to be a dominant market till 2028; thereby, achieving a market value of $10,267.3 million by 2028.The Japan market is estimated to grow a CAGR of 24.9% during (2022 - 2028). Additionally, The India market is expected to experience a CAGR of 26.5% during (2022 - 2028).
Based on Offering, the market is segmented into Hardware and Server Software. Based on End User, the market is segmented into Cloud Service Providers, Enterprises and Government Organizations. Based on Deployment Type, the market is segmented into On-premise, Hybrid and Cloud. Based on Function, the market is segmented into Inference and Training. Based on Technology, the market is segmented into Machine Learning and Deep Learning. 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 Oracle Corporation, Intel Corporation, Samsung Electronics Co., Ltd. (Samsung Group), IBM Corporation, Google LLC, Amazon Web Services, Inc. (Amazon.com, Inc.), Hewlett-Packard Enterprise Company, Cisco Systems, Inc., Dell Technologies, Inc., and Toshiba Corporation.
Scope of the Study
Market Segments Covered in the Report:
By Offering- Hardware
- Server Software
- Cloud Service Providers
- Enterprises
- Government Organizations
- On-premise
- Hybrid
- Cloud
- Inference
- Training
- Machine Learning
- Deep Learning
- China
- Japan
- India
- South Korea
- Singapore
- Malaysia
- Rest of Asia Pacific
Key Market Players
List of Companies Profiled in the Report:
- Oracle Corporation
- Intel Corporation
- Samsung Electronics Co., Ltd. (Samsung Group)
- IBM Corporation
- Google LLC
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- Hewlett-Packard Enterprise Company
- Cisco Systems, Inc.
- Dell Technologies, Inc.
- Toshiba Corporation
Unique Offerings from the Publisher
- Exhaustive coverage
- The highest number of Market tables and figures
- Subscription-based model available
- Guaranteed best price
- Assured post sales research support with 10% customization free
Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market Overview
Chapter 3. Competition Analysis - Global
Chapter 4. Asia Pacific AI Infrastructure Market by Offering
Chapter 5. Asia Pacific AI Infrastructure Market by End user
Chapter 6. Asia Pacific AI Infrastructure Market by Deployment Type
Chapter 7. Asia Pacific AI Infrastructure Market by Function
Chapter 8. Asia Pacific AI Infrastructure Market by Technology
Chapter 9. Asia Pacific AI Infrastructure Market by Country
Chapter 10. Company Profiles
Companies Mentioned
- Oracle Corporation
- Intel Corporation
- Samsung Electronics Co., Ltd. (Samsung Group)
- IBM Corporation
- Google LLC
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- Hewlett-Packard Enterprise Company
- Cisco Systems, Inc.
- Dell Technologies, Inc.
- Toshiba Corporation
Methodology
LOADING...
