
Enterprise Generative AI Market Growth, Size, Trends Analysis – By Component, By Model Type, By Application, By End User - Regional Outlook, Competitive Strategies and Segment Forecast to 2034
Description
Enterprise Generative AI Market Introduction and Overview
According to SPER market research, ‘Global Enterprise Generative AI Market Size- By Component, By Model Type, By Application, By End User – Regional Outlook, Competitive Strategies and Segment Forecast to 2034’ state that the Global Enterprise Generative AI Market is predicted to reach 84.03 billion by 2034 with a CAGR of 38.61%.
The use of generative artificial intelligence technology in corporate settings to boost output, automate content production, and assist in decision-making is known as enterprise generative AI. Businesses may increase customer satisfaction, boost creativity across departments, and expedite processes by utilizing models that can generate text, graphics, code, and other types of data.
Restraints:Data security and privacy are a big worry since generative models frequently need access to vast amounts of private corporate data. It is crucial to make sure that data protection laws are followed. Model correctness and dependability provide another difficulty; generative AI may generate inaccurate, skewed, or deceptive results that influence business choices. It might also be difficult and resource-intensive to integrate with current IT operations and infrastructure.
Scope of the report:
Report Metric Details
Market size available for years 2021-2034
Base year considered 2024
Forecast period 2025-2034
Segments covered
By Application, By Model Type, By Application, By End User
Regions covered
North America, Latin America, Asia-Pacific, Europe, and Middle East & Africa
Companies Covered
AWS, Google LLC, H2O.ai, IBM, Intel Corporation, Jasper.ai, Microsoft Corporation, Nvidia Corporation, OpenAI, Oracle, Synthesis AI.
Global Enterprise Generative AI Market Segmentation:
By Component: Based on the Component, Global Enterprise Generative AI Market is segmented as; Software, Services.
By Model Type: Based on the Model Type, Global Enterprise Generative AI Market is segmented as; Text, Image/Videos, Audio, Code.
By Application: Based on the Application, Global Enterprise Generative AI Marlet is segmented as; Marketing and Sales, Customer Service, Product Development, Supply Chain Management, Others.
By End User: Based on the End User, Global Enterprise Generative AI Market is segmented as; IT & Telecom, BFSI, Retail & E-Commerce, Healthcare, Manufacturing, Media and entertainment, Others.
By Region: This research also includes data for North America, Latin America, Asia-Pacific, Europe, Middle East & Africa.
According to SPER market research, ‘Global Enterprise Generative AI Market Size- By Component, By Model Type, By Application, By End User – Regional Outlook, Competitive Strategies and Segment Forecast to 2034’ state that the Global Enterprise Generative AI Market is predicted to reach 84.03 billion by 2034 with a CAGR of 38.61%.
The use of generative artificial intelligence technology in corporate settings to boost output, automate content production, and assist in decision-making is known as enterprise generative AI. Businesses may increase customer satisfaction, boost creativity across departments, and expedite processes by utilizing models that can generate text, graphics, code, and other types of data.
Restraints:Data security and privacy are a big worry since generative models frequently need access to vast amounts of private corporate data. It is crucial to make sure that data protection laws are followed. Model correctness and dependability provide another difficulty; generative AI may generate inaccurate, skewed, or deceptive results that influence business choices. It might also be difficult and resource-intensive to integrate with current IT operations and infrastructure.
Scope of the report:
Report Metric Details
Market size available for years 2021-2034
Base year considered 2024
Forecast period 2025-2034
Segments covered
By Application, By Model Type, By Application, By End User
Regions covered
North America, Latin America, Asia-Pacific, Europe, and Middle East & Africa
Companies Covered
AWS, Google LLC, H2O.ai, IBM, Intel Corporation, Jasper.ai, Microsoft Corporation, Nvidia Corporation, OpenAI, Oracle, Synthesis AI.
Global Enterprise Generative AI Market Segmentation:
By Component: Based on the Component, Global Enterprise Generative AI Market is segmented as; Software, Services.
By Model Type: Based on the Model Type, Global Enterprise Generative AI Market is segmented as; Text, Image/Videos, Audio, Code.
By Application: Based on the Application, Global Enterprise Generative AI Marlet is segmented as; Marketing and Sales, Customer Service, Product Development, Supply Chain Management, Others.
By End User: Based on the End User, Global Enterprise Generative AI Market is segmented as; IT & Telecom, BFSI, Retail & E-Commerce, Healthcare, Manufacturing, Media and entertainment, Others.
By Region: This research also includes data for North America, Latin America, Asia-Pacific, Europe, Middle East & Africa.
Table of Contents
287 Pages
- 1. Introduction
- 1.1. Scope of the report
- 1.2. Market segment analysis
- 2. Research Methodology
- 2.1. Research data source
- 2.1.1. Secondary Data
- 2.1.2. Primary Data
- 2.1.3. SPERs internal database
- 2.1.4. Premium insight from KOLs
- 2.2. Market size estimation
- 2.2.1. Top-down and Bottom-up approach
- 2.3. Data triangulation
- 3. Executive Summary
- 4. Market Dynamics
- 4.1. Driver, Restraint, Opportunity and Challenges analysis
- 4.1.1. Drivers
- 4.1.2. Restraints
- 4.1.3. Opportunities
- 4.1.4. Challenges
- 5. Market variable and outlook
- 5.1. SWOT Analysis
- 5.1.1. Strengths
- 5.1.2. Weaknesses
- 5.1.3. Opportunities
- 5.1.4. Threats
- 5.2. PESTEL Analysis
- 5.2.1. Political Landscape
- 5.2.2. Economic Landscape
- 5.2.3. Social Landscape
- 5.2.4. Technological Landscape
- 5.2.5. Environmental Landscape
- 5.2.6. Legal Landscape
- 5.3. PORTERs Five Forces
- 5.3.1. Bargaining power of suppliers
- 5.3.2. Bargaining power of buyers
- 5.3.3. Threat of Substitute
- 5.3.4. Threat of new entrant
- 5.3.5. Competitive rivalry
- 5.4. Heat Map Analysis
- 6. Competitive Landscape
- 6.1. Global Enterprise Generative AI Market Manufacturing Base Distribution, Sales Area, Product Type
- 6.2. Mergers & Acquisitions, Partnerships, Product Launch, and Collaboration in Global Enterprise Generative AI Market
- 7. Global Enterprise Generative AI Market, By Component (USD Million) 2021-2034
- 7.1. Software
- 7.2. Services
- 8. Global Enterprise Generative AI Market, By Model Type (USD Million) 2021-2034
- 8.1. Text
- 8.2. Image/Video
- 8.3. Audio
- 8.4. Code
- 9. Global Enterprise Generative AI Market, By Application (USD Million) 2021-2034
- 9.1. Marketing and Sales
- 9.2. Customer Services
- 9.3. Product Development
- 9.4. Supply Chain Management
- 9.5. Others
- 10. Global Enterprise Generative AI Market, By End User (USD Million) 2021-2034
- 10.1. IT & Telecom
- 10.2. BFSI
- 10.3. Retail & E- Commerce
- 10.4. Healthcare
- 10.5. Manufacturing
- 10.6. Media and Entertainment
- 10.7. Others
- 11. Global Enterprise Generative AI Market, (USD Million) 2021-2034
- 11.1. Global Enterprise Generative AI Market Size and Market Share
- 12. Global Enterprise Generative AI Market, By Region, (USD Million) 2021-2034
- 12.1. Asia-Pacific
- 12.1.1. Australia
- 12.1.2. China
- 12.1.3. India
- 12.1.4. Japan
- 12.1.5. South Korea
- 12.1.6. Rest of Asia-Pacific
- 12.2. Europe
- 12.2.1. France
- 12.2.2. Germany
- 12.2.3. Italy
- 12.2.4. Spain
- 12.2.5. United Kingdom
- 12.2.6. Rest of Europe
- 12.3. Middle East and Africa
- 12.3.1. Kingdom of Saudi Arabia
- 12.3.2. United Arab Emirates
- 12.3.3. Qatar
- 12.3.4. South Africa
- 12.3.5. Egypt
- 12.3.6. Morocco
- 12.3.7. Nigeria
- 12.3.8. Rest of Middle-East and Africa
- 12.4. North America
- 12.4.1. Canada
- 12.4.2. Mexico
- 12.4.3. United States
- 12.5. Latin America
- 12.5.1. Argentina
- 12.5.2. Brazil
- 12.5.3. Rest of Latin America
- 13. Company Profile
- 13.1. AWS
- 13.1.1. Company details
- 13.1.2. Financial outlook
- 13.1.3. Product summary
- 13.1.4. Recent developments
- 13.2. Google LLC
- 13.2.1. Company details
- 13.2.2. Financial outlook
- 13.2.3. Product summary
- 13.2.4. Recent developments
- 13.3. H2 O.ai
- 13.3.1. Company details
- 13.3.2. Financial outlook
- 13.3.3. Product summary
- 13.3.4. Recent developments
- 13.4. IBM
- 13.4.1. Company details
- 13.4.2. Financial outlook
- 13.4.3. Product summary
- 13.4.4. Recent developments
- 13.5. Intel Corporation
- 13.5.1. Company details
- 13.5.2. Financial outlook
- 13.5.3. Product summary
- 13.5.4. Recent developments
- 13.6. Jasper.ai
- 13.6.1. Company details
- 13.6.2. Financial outlook
- 13.6.3. Product summary
- 13.6.4. Recent developments
- 13.7. Microsoft Corporation
- 13.7.1. Company details
- 13.7.2. Financial outlook
- 13.7.3. Product summary
- 13.7.4. Recent developments
- 13.8. Nvidia Corporation
- 13.8.1. Company details
- 13.8.2. Financial outlook
- 13.8.3. Product summary
- 13.8.4. Recent developments
- 13.9. OpenAI
- 13.9.1. Company details
- 13.9.2. Financial outlook
- 13.9.3. Product summary
- 13.9.4. Recent developments
- 13.10. Oracle
- 13.10.1. Company details
- 13.10.2. Financial outlook
- 13.10.3. Product summary
- 13.10.4. Recent developments
- 13.11. Synthesis AI
- 13.11.1. Company details
- 13.11.2. Financial outlook
- 13.11.3. Product summary
- 13.11.4. Recent developments
- 13.12. Others
- 14. Conclusion
- 15. List of Abbreviations
- 16. Reference Links
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