
North America Enterprise Generative AI Market Size, Share & Trends Analysis Report By Component (Software, and Services), By Model Type, By Application, By Vertical, By Country and Growth Forecast, 2024 - 2031
Description
The North America Enterprise Generative AI Market would witness market growth of 37.1% CAGR during the forecast period (2024-2031).
The US market dominated the North America Enterprise Generative AI Market by Country in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of $7,305.3 million by 2031. The Canada market is experiencing a CAGR of 40.1% during (2024 - 2031). Additionally, The Mexico market would exhibit a CAGR of 38.9% during (2024 - 2031).
Companies that leverage generative AI are better positioned to innovate and stay ahead of their competitors. From automating creative processes to generating insights for strategic decisions, generative AI is becoming a key enabler of business success. Early adoption of AI-powered tools gives companies a competitive advantage, particularly in industries where speed and innovation are critical. Many enterprises are forming partnerships with AI technology providers, startups, and research organizations to accelerate the adoption of generative AI.
Moreover, by collaborating with experts in the field, businesses can access cutting-edge AI tools and leverage the expertise needed to integrate these technologies into their operations. As the enterprise generative AI market grows, several key trends shape its evolution. Companies are increasingly seeking AI models tailored to their specific needs. Customizing generative AI tools allows enterprises to ensure that the outputs align with their business objectives, industry requirements, and regulatory guidelines. Customized models can also be more efficient, saving time and resources in the long run.
The rapid adoption of generative AI technologies in Canada and Mexico plays a crucial role in expanding the market. Statistics Canada reports that, in the first quarter of 2024, approximately 9.3% of Canadian businesses already used generative AI, with an additional 4.6% planning to adopt it soon. The early adoption of generative AI among Canadian enterprises indicates a growing recognition of its potential to enhance business processes such as content generation, customer support, and data analysis. This early shift positions the Canada as a key player in driving the demand for enterprise generative AI solutions.
Based on Component, the market is segmented into Software, and Services. Based on Model Type, the market is segmented into Text, Image/Video, Code, and Audio. Based on Application, the market is segmented into Marketing & Sales, Customer Service, Product Development, Supply Chain Management, and Other Application. Based on Vertical, the market is segmented into IT & Telecom, BFSI, Retail & E-commerce, Healthcare, Manufacturing, Media & Entertainment, and Other Vertical. Based on countries, the market is segmented into U.S., Mexico, Canada, and Rest of North America.
List of Key Companies Profiled
By Component
The US market dominated the North America Enterprise Generative AI Market by Country in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of $7,305.3 million by 2031. The Canada market is experiencing a CAGR of 40.1% during (2024 - 2031). Additionally, The Mexico market would exhibit a CAGR of 38.9% during (2024 - 2031).
Companies that leverage generative AI are better positioned to innovate and stay ahead of their competitors. From automating creative processes to generating insights for strategic decisions, generative AI is becoming a key enabler of business success. Early adoption of AI-powered tools gives companies a competitive advantage, particularly in industries where speed and innovation are critical. Many enterprises are forming partnerships with AI technology providers, startups, and research organizations to accelerate the adoption of generative AI.
Moreover, by collaborating with experts in the field, businesses can access cutting-edge AI tools and leverage the expertise needed to integrate these technologies into their operations. As the enterprise generative AI market grows, several key trends shape its evolution. Companies are increasingly seeking AI models tailored to their specific needs. Customizing generative AI tools allows enterprises to ensure that the outputs align with their business objectives, industry requirements, and regulatory guidelines. Customized models can also be more efficient, saving time and resources in the long run.
The rapid adoption of generative AI technologies in Canada and Mexico plays a crucial role in expanding the market. Statistics Canada reports that, in the first quarter of 2024, approximately 9.3% of Canadian businesses already used generative AI, with an additional 4.6% planning to adopt it soon. The early adoption of generative AI among Canadian enterprises indicates a growing recognition of its potential to enhance business processes such as content generation, customer support, and data analysis. This early shift positions the Canada as a key player in driving the demand for enterprise generative AI solutions.
Based on Component, the market is segmented into Software, and Services. Based on Model Type, the market is segmented into Text, Image/Video, Code, and Audio. Based on Application, the market is segmented into Marketing & Sales, Customer Service, Product Development, Supply Chain Management, and Other Application. Based on Vertical, the market is segmented into IT & Telecom, BFSI, Retail & E-commerce, Healthcare, Manufacturing, Media & Entertainment, and Other Vertical. Based on countries, the market is segmented into U.S., Mexico, Canada, and Rest of North America.
List of Key Companies Profiled
- Accenture PLC
- SAS Institute Inc.
- Google LLC
- Salesforce, Inc.
- Microsoft Corporation
- Adobe, Inc.
- OpenAI, LLC
- IBM Corporation
- NVIDIA Corporation
- Intel Corporation
- SAP SE
- Oracle Corporation
By Component
- Software
- Services
- Text
- Image/Video
- Code
- Audio
- Marketing & Sales
- Customer Service
- Product Development
- Supply Chain Management
- Other Application
- IT & Telecom
- BFSI
- Retail & E-commerce
- Healthcare
- Manufacturing
- Media & Entertainment
- Other Vertical
- US
- Canada
- Mexico
- Rest of North America
Table of Contents
157 Pages
- Chapter 1. Market Scope & Methodology
- 1.1 Market Definition
- 1.2 Objectives
- 1.3 Market Scope
- 1.4 Segmentation
- 1.4.1 North America Enterprise Generative AI Market, by Component
- 1.4.2 North America Enterprise Generative AI Market, by Model Type
- 1.4.3 North America Enterprise Generative AI Market, by Application
- 1.4.4 North America Enterprise Generative AI Market, by Vertical
- 1.4.5 North America Enterprise Generative AI Market, by Country
- 1.5 Methodology for the research
- Chapter 2. Market at a Glance
- 2.1 Key Highlights
- Chapter 3. Market Overview
- 3.1 Introduction
- 3.1.1 Overview
- 3.1.1.1 Market Composition and Scenario
- 3.2 Key Factors Impacting the Market
- 3.2.1 Market Drivers
- 3.2.2 Market Restraints
- 3.2.3 Market Opportunities
- 3.2.4 Market Challenges
- Chapter 4. Competition Analysis - Global
- 4.1 KBV Cardinal Matrix
- 4.2 Recent Industry Wide Strategic Developments
- 4.2.1 Partnerships, Collaborations and Agreements
- 4.2.2 Product Launches and Product Expansions
- 4.2.3 Acquisition and Mergers
- 4.3 Market Share Analysis, 2023
- 4.4 Top Winning Strategies
- 4.4.1 Key Leading Strategies: Percentage Distribution (2020-2024)
- 4.4.2 Key Strategic Move: (Partnerships, Collaborations and Agreements: 2023, May – 2024, Aug) Leading Players
- 4.5 Porter Five Forces Analysis
- Chapter 5. North America Enterprise Generative AI Market by Component
- 5.1 North America Software Market by Region
- 5.2 North America Services Market by Region
- Chapter 6. North America Enterprise Generative AI Market by Model Type
- 6.1 North America Text Market by Country
- 6.2 North America Image/Video Market by Country
- 6.3 North America Code Market by Country
- 6.4 North America Audio Market by Country
- Chapter 7. North America Enterprise Generative AI Market by Application
- 7.1 North America Marketing & Sales Market by Country
- 7.2 North America Customer Service Market by Country
- 7.3 North America Product Development Market by Country
- 7.4 North America Supply Chain Management Market by Country
- 7.5 North America Other Application Market by Country
- Chapter 8. North America Enterprise Generative AI Market by Vertical
- 8.1 North America IT & Telecom Market by Country
- 8.2 North America BFSI Market by Country
- 8.3 North America Retail & E-commerce Market by Country
- 8.4 North America Healthcare Market by Country
- 8.5 North America Manufacturing Market by Country
- 8.6 North America Media & Entertainment Market by Country
- 8.7 North America Other Vertical Market by Country
- Chapter 9. North America Enterprise Generative AI Market by Country
- 9.1 US Enterprise Generative AI Market
- 9.1.1 US Enterprise Generative AI Market by Component
- 9.1.2 US Enterprise Generative AI Market by Model Type
- 9.1.3 US Enterprise Generative AI Market by Application
- 9.1.4 US Enterprise Generative AI Market by Vertical
- 9.2 Canada Enterprise Generative AI Market
- 9.2.1 Canada Enterprise Generative AI Market by Component
- 9.2.2 Canada Enterprise Generative AI Market by Model Type
- 9.2.3 Canada Enterprise Generative AI Market by Application
- 9.2.4 Canada Enterprise Generative AI Market by Vertical
- 9.3 Mexico Enterprise Generative AI Market
- 9.3.1 Mexico Enterprise Generative AI Market by Component
- 9.3.2 Mexico Enterprise Generative AI Market by Model Type
- 9.3.3 Mexico Enterprise Generative AI Market by Application
- 9.3.4 Mexico Enterprise Generative AI Market by Vertical
- 9.4 Rest of North America Enterprise Generative AI Market
- 9.4.1 Rest of North America Enterprise Generative AI Market by Component
- 9.4.2 Rest of North America Enterprise Generative AI Market by Model Type
- 9.4.3 Rest of North America Enterprise Generative AI Market by Application
- 9.4.4 Rest of North America Enterprise Generative AI Market by Vertical
- Chapter 10. Company Profiles
- 10.1 Accenture PLC
- 10.1.1 Company Overview
- 10.1.2 Financial Analysis
- 10.1.3 Regional Analysis
- 10.1.4 Research & Development Expenses
- 10.1.5 Recent strategies and developments:
- 10.1.5.1 Partnerships, Collaborations, and Agreements:
- 10.1.5.2 Acquisition and Mergers:
- 10.1.6 SWOT Analysis
- 10.2 SAS Institute, Inc.
- 10.2.1 Company Overview
- 10.2.2 SWOT Analysis
- 10.3 Google LLC (Alphabet Inc.)
- 10.3.1 Company Overview
- 10.3.2 Financial Analysis
- 10.3.3 Segmental and Regional Analysis
- 10.3.4 Research & Development Expenses
- 10.3.5 Recent strategies and developments:
- 10.3.5.1 Partnerships, Collaborations, and Agreements:
- 10.3.5.2 Product Launches and Product Expansions:
- 10.3.6 SWOT Analysis
- 10.4 Salesforce, Inc.
- 10.4.1 Company Overview
- 10.4.2 Financial Analysis
- 10.4.3 Regional Analysis
- 10.4.4 Research & Development Expenses
- 10.4.5 Recent strategies and developments:
- 10.4.5.1 Partnerships, Collaborations, and Agreements:
- 10.4.5.2 Product Launches and Product Expansions:
- 10.4.6 SWOT Analysis
- 10.5 Microsoft Corporation
- 10.5.1 Company Overview
- 10.5.2 Financial Analysis
- 10.5.3 Segmental and Regional Analysis
- 10.5.4 Research & Development Expenses
- 10.5.5 Recent strategies and developments:
- 10.5.5.1 Partnerships, Collaborations, and Agreements:
- 10.5.5.2 Product Launches and Product Expansions:
- 10.5.6 SWOT Analysis
- 10.6 Adobe, Inc.
- 10.6.1 Company Overview
- 10.6.2 Financial Analysis
- 10.6.3 Segmental and Regional Analysis
- 10.6.4 Research & Development Expense
- 10.6.5 SWOT Analysis
- 10.7 OpenAI, L.L.C.
- 10.7.1 Company Overview
- 10.7.2 SWOT Analysis
- 10.8 IBM Corporation
- 10.8.1 Company Overview
- 10.8.2 Financial Analysis
- 10.8.3 Regional & Segmental Analysis
- 10.8.4 Research & Development Expenses
- 10.8.5 Recent strategies and developments:
- 10.8.5.1 Partnerships, Collaborations, and Agreements:
- 10.8.5.2 Product Launches and Product Expansions:
- 10.8.6 SWOT Analysis
- 10.9 NVIDIA Corporation
- 10.9.1 Company Overview
- 10.9.2 Financial Analysis
- 10.9.3 Segmental and Regional Analysis
- 10.9.4 Research & Development Expenses
- 10.9.5 SWOT Analysis
- 10.10. Intel Corporation
- 10.10.1 Company Overview
- 10.10.2 Financial Analysis
- 10.10.3 Segmental and Regional Analysis
- 10.10.4 Research & Development Expenses
- 10.10.5 Recent strategies and developments:
- 10.10.5.1 Partnerships, Collaborations, and Agreements:
- 10.10.6 SWOT Analysis
- 10.11 Oracle Corporation
- 10.11.1 Company Overview
- 10.11.2 Financial Analysis
- 10.11.3 Segmental and Regional Analysis
- 10.11.4 Research & Development Expense
- 10.11.5 Recent strategies and developments:
- 10.11.5.1 Partnerships, Collaborations, and Agreements:
- 10.11.5.2 Product Launches and Product Expansions:
- 10.11.6 SWOT Analysis
- 10.12 SAP SE
- 10.12.1 Company Overview
- 10.12.2 Financial Analysis
- 10.12.3 Regional Analysis
- 10.12.4 Research & Development Expense
- 10.12.5 Recent strategies and developments:
- 10.12.5.1 Partnerships, Collaborations, and Agreements:
- 10.12.5.2 Product Launches and Product Expansions:
- 10.12.6 SWOT Analysis
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