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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

Published Jul 09, 2025
Length 287 Pages
SKU # SPER20337436

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.

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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