The Asia Pacific Generative AI Market should witness market growth of 33.1% CAGR during the forecast period (2022-2028).
The significance of generative AI is multifaceted. It can first be utilized to create data that doesn't already exist. For example, whenever a new algorithm requires test data to train on, this is crucial for research. Second, algorithms that already exist can be enhanced via generative AI. By developing data for training new neural networks or improving deep learning architectures, for instance.
Generative AI can always be thought of as a form of automatic machine learning - a machine that creates newer, more advanced machines. This has far-reaching ramifications that go beyond simply enhancing current algorithms. Neural networks are made up of numerous linked neurons and are designed after the brain.
To modify (or 'tune') the connections between neurons to make the network suitable for a certain job. This procedure, known as training, makes use of a lot of data. The work of calibrating the neurons can be aided by generative AI, which can do this by automatically determining the optimum set of connections.
The most recent advances in artificial technology have compelled countries in this region to concentrate on these changes. Businesses and sectors are under pressure to change their strategy as a result of the technical developments that AI has brought forth. China is also preparing its resources, including its people, its natural resources, and its intelligence, as well as the connections between them. China is modifying its regulations in an effort to maintain an advantage in the cutthroat worldwide economy.
The China market dominated the Asia Pacific Generative AI Market by Country in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $4, 049.6 million by 2028. The Japan market is estimated to grow a CAGR of 32.3% during (2022-2028). Additionally, The India market would experience a CAGR of 33.9% during (2022-2028).
Based on Component, the market is segmented into Software and Service. Based on Technology, the market is segmented into Transformers, Generative Adversarial Networks (GANs), Variational Auto-encoders, and Diffusion Networks. Based on End-use, the market is segmented into Media & Entertainment, BFSI, IT & Telecommunication, Healthcare, Automotive & Transportation, 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 Google LLC, Amazon Web Services, Inc. (Amazon.com, Inc.), IBM Corporation, Microsoft Corporation, Adobe, Inc, MOSTLY AI Solutions MP GmbH, Synthesia Limited, Genie AI, Inc, Rephrase.ai, and De-Identification Ltd.
The significance of generative AI is multifaceted. It can first be utilized to create data that doesn't already exist. For example, whenever a new algorithm requires test data to train on, this is crucial for research. Second, algorithms that already exist can be enhanced via generative AI. By developing data for training new neural networks or improving deep learning architectures, for instance.
Generative AI can always be thought of as a form of automatic machine learning - a machine that creates newer, more advanced machines. This has far-reaching ramifications that go beyond simply enhancing current algorithms. Neural networks are made up of numerous linked neurons and are designed after the brain.
To modify (or 'tune') the connections between neurons to make the network suitable for a certain job. This procedure, known as training, makes use of a lot of data. The work of calibrating the neurons can be aided by generative AI, which can do this by automatically determining the optimum set of connections.
The most recent advances in artificial technology have compelled countries in this region to concentrate on these changes. Businesses and sectors are under pressure to change their strategy as a result of the technical developments that AI has brought forth. China is also preparing its resources, including its people, its natural resources, and its intelligence, as well as the connections between them. China is modifying its regulations in an effort to maintain an advantage in the cutthroat worldwide economy.
The China market dominated the Asia Pacific Generative AI Market by Country in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $4, 049.6 million by 2028. The Japan market is estimated to grow a CAGR of 32.3% during (2022-2028). Additionally, The India market would experience a CAGR of 33.9% during (2022-2028).
Based on Component, the market is segmented into Software and Service. Based on Technology, the market is segmented into Transformers, Generative Adversarial Networks (GANs), Variational Auto-encoders, and Diffusion Networks. Based on End-use, the market is segmented into Media & Entertainment, BFSI, IT & Telecommunication, Healthcare, Automotive & Transportation, 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 Google LLC, Amazon Web Services, Inc. (Amazon.com, Inc.), IBM Corporation, Microsoft Corporation, Adobe, Inc, MOSTLY AI Solutions MP GmbH, Synthesia Limited, Genie AI, Inc, Rephrase.ai, and De-Identification Ltd.
Scope of the Study
By Component
- Software
- Service
By Technology
- Transformers
- Generative Adversarial Networks (GANs)
- Variational Auto-encoders
- Diffusion Networks
By End-Use
- Media & Entertainment
- BFSI
- IT & Telecommunication
- Healthcare
- Automotive & Transportation
- Others
By Country
- China
- Japan
- India
- South Korea
- Singapore
- Malaysia
- Rest of Asia Pacific
Key Market Players
List of Companies Profiled in the Report:
- Google LLC
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- IBM Corporation
- Microsoft Corporation
- Adobe, Inc
- MOSTLY AI Solutions MP GmbH
- Synthesia Limited
- Genie AI, Inc
- Rephrase.ai
- De-Identification Ltd
Unique Offerings
- 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 & Methodology1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Asia Pacific Generative AI Market, by Component
1.4.2 Asia Pacific Generative AI Market, by Technology
1.4.3 Asia Pacific Generative AI Market, by End-Use
1.4.4 Asia Pacific Generative AI Market, by Country
1.5 Methodology for the research
Chapter 2. Market Overview
2.1 Introduction
2.1.1 Overview
2.1.1.1 Market Composition & Scenario
2.2 Key Factors Impacting the Market
2.2.1 Market Drivers
2.2.2 Market Restraints
Chapter 3. Competition Analysis - Global
3.1 Cardinal Matrix
3.2 Recent Industry Wide Strategic Developments
3.2.1 Partnerships, Collaborations and Agreements
3.2.2 Product Launches and Product Expansions
3.2.3 Acquisition and Mergers
3.3 Top Winning Strategies
3.3.1 Key Leading Strategies: Percentage Distribution (2018-2022)
Chapter 4. Asia Pacific Generative AI Market by Component
4.1 Asia Pacific Software Market by Country
4.2 Asia Pacific Service Market by Country
Chapter 5. Asia Pacific Generative AI Market by Technology
5.1 Asia Pacific Transformers Market by Country
5.2 Asia Pacific Generative Adversarial Networks (GANs) Market by Country
5.3 Asia Pacific Variational Auto-encoders Market by Country
5.4 Asia Pacific Diffusion Networks Market by Country
Chapter 6. Asia Pacific Generative AI Market by End-use
6.1 Asia Pacific Media & Entertainment Market by Country
6.2 Asia Pacific BFSI Market by Country
6.3 Asia Pacific IT & Telecommunication Market by Country
6.4 Asia Pacific Healthcare Market by Country
6.5 Asia Pacific Automotive & Transportation Market by Country
6.6 Asia Pacific Others Market by Country
Chapter 7. Asia Pacific Generative AI Market by Country
7.1 China Generative AI Market
7.1.1 China Generative AI Market by Component
7.1.2 China Generative AI Market by Technology
7.1.3 China Generative AI Market by End-use
7.2 Japan Generative AI Market
7.2.1 Japan Generative AI Market by Component
7.2.2 Japan Generative AI Market by Technology
7.2.3 Japan Generative AI Market by End-use
7.3 India Generative AI Market
7.3.1 India Generative AI Market by Component
7.3.2 India Generative AI Market by Technology
7.3.3 India Generative AI Market by End-use
7.4 South Korea Generative AI Market
7.4.1 South Korea Generative AI Market by Component
7.4.2 South Korea Generative AI Market by Technology
7.4.3 South Korea Generative AI Market by End-use
7.5 Singapore Generative AI Market
7.5.1 Singapore Generative AI Market by Component
7.5.2 Singapore Generative AI Market by Technology
7.5.3 Singapore Generative AI Market by End-use
7.6 Malaysia Generative AI Market
7.6.1 Malaysia Generative AI Market by Component
7.6.2 Malaysia Generative AI Market by Technology
7.6.3 Malaysia Generative AI Market by End-use
7.7 Rest of Asia Pacific Generative AI Market
7.7.1 Rest of Asia Pacific Generative AI Market by Component
7.7.2 Rest of Asia Pacific Generative AI Market by Technology
7.7.3 Rest of Asia Pacific Generative AI Market by End-use
Chapter 8. Company Profiles
8.1 Google LLC
8.1.1 Company Overview
8.1.2 Financial Analysis
8.1.3 Segmental and Regional Analysis
8.1.4 Research & Development Expense
8.1.5 Recent strategies and developments:
8.1.5.1 Product Launches and Product Expansions:
8.1.5.2 Acquisition and Mergers:
8.1.6 SWOT Analysis
8.2 Amazon Web Services, Inc. (Amazon.com, Inc.)
8.2.1 Company Overview
8.2.2 Financial Analysis
8.2.3 Segmental Analysis
8.2.4 Recent strategies and developments:
8.2.4.1 Product Launches and Product Expansions:
8.2.4.2 Partnerships, Collaborations & Agreements
8.2.5 SWOT Analysis
8.3 IBM Corporation
8.3.1 Company Overview
8.3.2 Financial Analysis
8.3.3 Regional & Segmental Analysis
8.3.4 Research & Development Expenses
8.3.5 Recent strategies and developments:
8.3.5.1 Partnerships, Collaborations, and Agreements:
8.3.5.2 Product Launches and Product Expansions:
8.3.5.3 Acquisition and Mergers:
8.3.6 SWOT Analysis
8.4 Microsoft Corporation
8.4.1 Company Overview
8.4.2 Financial Analysis
8.4.3 Segmental and Regional Analysis
8.4.4 Research & Development Expenses
8.4.5 Recent strategies and developments:
8.4.5.1 Partnerships, Collaborations, and Agreements:
8.4.5.2 Acquisition and Mergers:
8.4.6 SWOT Analysis
8.5 Adobe, Inc.
8.5.1 Company Overview
8.5.2 Financial Analysis
8.5.3 Segmental and Regional Analysis
8.5.4 Research & Development Expense
8.5.5 Recent strategies and developments:
8.5.5.1 Product Launches and Product Expansions:
8.6 MOSTLY AI Solutions MP GmbH
8.6.1 Company Overview
8.7 Synthesia Limited
8.7.1 Company Overview
8.8 Genie AI, Inc.
8.8.1 Company Overview
8.9 Rephrase.ai
8.9.1 Company Overview
8.10. De-Identification Ltd.
8.10.1 Company Overview
Companies Mentioned
- Google LLC
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- IBM Corporation
- Microsoft Corporation
- Adobe, Inc
- MOSTLY AI Solutions MP GmbH
- Synthesia Limited
- Genie AI, Inc
- Rephrase.ai
- De-Identification Ltd
Methodology
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