The North America Generative AI Market should witness market growth of 31.4% CAGR during the forecast period (2022-2028).
Unsupervised learning enables AI to develop more quickly and flexible transferable skills that improve the efficiency, effectiveness, and speed of human work while requiring less staff training. The foundation for applications in important industries, including defense, security, and healthcare, is being laid by generative AI.
Technology can be adjusted and integrated into increasingly complex applications as it advances and innovates. In addition to providing organizations with substantially speedier and less expensive access to picture generation, film restoration, and the construction of 3D or SaaS models or settings, generative AI models are a viable replacement for some of the older, outmoded technology.
In the North American region, there is a growing demand for commercial vehicles. Fleet management's increasing needs for long-distance operations are to blame for this. Local governments are also enacting a number of laws pertaining to carbon emissions. In order to reduce carbon emissions, local manufacturers are employing the same technology in buses and commercial vehicles, although they will face some particular difficulties. Long-distance hauling vehicles have undergone extensive duty cycle and fuel economy optimization in the past.
The US market dominated the North America Generative AI Market by Country in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $15, 164.6 million by 2028. The Canada market is poised to grow at a CAGR of 34.4% during (2022-2028). Additionally, The Mexico market should witness a CAGR of 33.2% 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 U.S., Mexico, Canada, and Rest of North America.
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.
Unsupervised learning enables AI to develop more quickly and flexible transferable skills that improve the efficiency, effectiveness, and speed of human work while requiring less staff training. The foundation for applications in important industries, including defense, security, and healthcare, is being laid by generative AI.
Technology can be adjusted and integrated into increasingly complex applications as it advances and innovates. In addition to providing organizations with substantially speedier and less expensive access to picture generation, film restoration, and the construction of 3D or SaaS models or settings, generative AI models are a viable replacement for some of the older, outmoded technology.
In the North American region, there is a growing demand for commercial vehicles. Fleet management's increasing needs for long-distance operations are to blame for this. Local governments are also enacting a number of laws pertaining to carbon emissions. In order to reduce carbon emissions, local manufacturers are employing the same technology in buses and commercial vehicles, although they will face some particular difficulties. Long-distance hauling vehicles have undergone extensive duty cycle and fuel economy optimization in the past.
The US market dominated the North America Generative AI Market by Country in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $15, 164.6 million by 2028. The Canada market is poised to grow at a CAGR of 34.4% during (2022-2028). Additionally, The Mexico market should witness a CAGR of 33.2% 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 U.S., Mexico, Canada, and Rest of North America.
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
- US
- Canada
- Mexico
- Rest of North America
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 North America Generative AI Market, by Component
1.4.2 North America Generative AI Market, by Technology
1.4.3 North America Generative AI Market, by End-Use
1.4.4 North America 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. North America Generative AI Market by Component
4.1 North America Software Market by Country
4.2 North America Service Market by Country
Chapter 5. North America Generative AI Market by Technology
5.1 North America Transformers Market by Country
5.2 North America Generative Adversarial Networks (GANs) Market by Country
5.3 North America Variational Auto-encoders Market by Country
5.4 North America Diffusion Networks Market by Country
Chapter 6. North America Generative AI Market by End-use
6.1 North America Media & Entertainment Market by Country
6.2 North America BFSI Market by Country
6.3 North America IT & Telecommunication Market by Country
6.4 North America Healthcare Market by Country
6.5 North America Automotive & Transportation Market by Country
6.6 North America Others Market by Country
Chapter 7. North America Generative AI Market by Country
7.1 US Generative AI Market
7.1.1 US Generative AI Market by Component
7.1.2 US Generative AI Market by Technology
7.1.3 US Generative AI Market by End-use
7.2 Canada Generative AI Market
7.2.1 Canada Generative AI Market by Component
7.2.2 Canada Generative AI Market by Technology
7.2.3 Canada Generative AI Market by End-use
7.3 Mexico Generative AI Market
7.3.1 Mexico Generative AI Market by Component
7.3.2 Mexico Generative AI Market by Technology
7.3.3 Mexico Generative AI Market by End-use
7.4 Rest of North America Generative AI Market
7.4.1 Rest of North America Generative AI Market by Component
7.4.2 Rest of North America Generative AI Market by Technology
7.4.3 Rest of North America 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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