July 18, 2024

Enterprise Artificial Intelligence Market Size To Cross USD 102.9 Bn By 2030

The global enterprise artificial intelligence market size accounted for US$ 16.81 Bn in 2022 and is projected to reach around USD 102.9 Bn by 2030, growing at a CAGR of 47.16% from 2022 to 2030.

Enterprise Artificial Intelligence (AI) Market Size 2022 To 2030

Report Summary

The global enterprise artificial intelligence market report provides a Point-by-Point and In-Depth analysis of global market size, regional and country-level market size, market share, segmentation market growth, competitive landscape, sales analysis, opportunities analysis, strategic market growth analysis, the impact of domestic and global market key players, value chain optimization, trade regulations, recent developments, product launches, area marketplace expanding, and technological innovations.

The study offers a comprehensive analysis on diverse features, including production capacities, demand, product developments, revenue generation, and sales in the enterprise artificial intelligence market across the globe.

A comprehensive estimate on the enterprise artificial intelligence market has been provided through an optimistic scenario as well as a conservative scenario, taking into account the sales of enterprise artificial intelligence during the forecast period. Price point comparison by region with global average price is also considered in the study.

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Enterprise Artificial Intelligence Market Report Scope 

Report CoverageDetails
Market Size in 2022USD 16.81 Billion
Market Size by 2030USD 102.9 Billion
Growth Rate from 2022 to 2030CAGR of 47.16%
Base Year2021
Forecast Period2022 to 2030
Segments Covered
  • By Deployment Type
  • By Technology
  • By Organization Size
  • By End Use

Key Highlights:

Reports Coverage: It incorporates key market sections, key makers secured, the extent of items offered in the years considered, worldwide containerized enterprise artificial intelligence market and study goals. Moreover, it contacts the division study gave in the report based on the sort of item and applications.

Market Outline: This area stresses the key investigations, market development rate, serious scene, market drivers, patterns, and issues notwithstanding the naturally visible pointers.

Market Production by Region: The report conveys information identified with import and fare, income, creation, and key players of every single local market contemplated are canvassed right now.

Also Read:  Hyperloop Train Market Size Analysis 2022 To 2030

Enterprise Artificial Intelligence Market Players

The report includes the profiles of key enterprise artificial intelligence market companies along with their SWOT analysis and market strategies. In addition, the report focuses on leading industry players with information such as company profiles, components and services offered, financial information, key development in past five years.

Major companies operating in this area

  • Amazon Web Services, Inc.
  • IBM Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • Intel Corporation
  • Alphabet Inc.
  • SAP SE
  • C3.ai, Inc.
  • DataRobot, Inc.
  • Hewlett Packard Enterprise Development LP
  • Wipro Limited
  • NVidia Corporation

Market Segmentation

By Deployment Type

  • Cloud
  • On-premises

By Technology

  • Natural Language Processing (NLP)
  • Machine Learning
  • Computer Vision
  • Speech Recognition
  • Others

By Organization Size

  • Large Enterprises
  • Small And Medium Enterprises

By End Use

  • Media & Advertising
  • Retail
  • BFSI
  • IT & Telecom
  • Healthcare
  • Automotive & Transportation
  • Others

Regional Segmentation

  • North America (U.S., Canada, Mexico)
  • Europe (Germany, France, U.K., Italy, Spain, Rest of Europe)
  • Asia-Pacific (China, Japan, India, Southeast Asia and Rest of APAC)
  • Latin America (Brazil and Rest of Latin America)
  • Middle East and Africa (GCC, North Africa, South Africa, Rest of MEA)

Research Methodology

Secondary Research

It involves company databases such as Hoover’s: This assists us to recognize financial information, the structure of the market participants and industry’s competitive landscape.

The secondary research sources referred in the process are as follows:

  • Governmental bodies, and organizations creating economic policies
  • National and international social welfare institutions
  • Company websites, financial reports and SEC filings, broker and investor reports
  • Related patent and regulatory databases
  • Statistical databases and market reports
  • Corporate Presentations, news, press release, and specification sheet of Manufacturers

Primary Research

Primary research includes face-to-face interviews, online surveys, and telephonic interviews.

  • Means of primary research: Email interactions, telephonic discussions and Questionnaire-based research etc.
  • In order to validate our research findings and analysis, we conduct primary interviews of key industry participants. Insights from primary respondents help in validating the secondary research findings. It also develops Research Team’s expertise and market understanding.

TABLE OF CONTENT

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Enterprise Artificial Intelligence (AI) Market 

5.1. COVID-19 Landscape: Enterprise Artificial Intelligence (AI) Industry Impact

5.2. COVID 19 – Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

Chapter 6. Market Dynamics Analysis and Trends

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Enterprise Artificial Intelligence (AI) Market, By Deployment Type

8.1. Enterprise Artificial Intelligence (AI) Market, by Deployment Type, 2022-2030

8.1.1. Cloud

8.1.1.1. Market Revenue and Forecast (2017-2030)

8.1.2. On-premises

Chapter 9. Global Enterprise Artificial Intelligence (AI) Market, By Technology

9.1. Enterprise Artificial Intelligence (AI) Market, by Technology, 2022-2030

9.1.1. Natural Language Processing (NLP)

9.1.1.1. Market Revenue and Forecast (2017-2030)

9.1.2. Machine Learning

9.1.2.1. Market Revenue and Forecast (2017-2030)

9.1.3. Computer Vision

9.1.3.1. Market Revenue and Forecast (2017-2030)

9.1.4. Speech Recognition

9.1.4.1. Market Revenue and Forecast (2017-2030)

9.1.5. Others

9.1.5.1. Market Revenue and Forecast (2017-2030)

Chapter 10. Global Enterprise Artificial Intelligence (AI) Market, By Organization Size 

10.1. Enterprise Artificial Intelligence (AI) Market, by Organization Size, 2022-2030

10.1.1. Large Enterprises

10.1.1.1. Market Revenue and Forecast (2017-2030)

10.1.2. Small And Medium Enterprises

Chapter 11. Global Enterprise Artificial Intelligence (AI) Market, By End Use 

11.1. Enterprise Artificial Intelligence (AI) Market, by End Use, 2022-2030

11.1.1. Media & Advertising

11.1.1.1. Market Revenue and Forecast (2017-2030)

11.1.2. Retail

11.1.2.1. Market Revenue and Forecast (2017-2030)

11.1.3. BFSI

11.1.3.1. Market Revenue and Forecast (2017-2030)

11.1.4. IT & Telecom

11.1.4.1. Market Revenue and Forecast (2017-2030)

11.1.5. Healthcare

11.1.5.1. Market Revenue and Forecast (2017-2030)

11.1.6. Automotive & Transportation

11.1.6.1. Market Revenue and Forecast (2017-2030)

11.1.7. Others

11.1.7.1. Market Revenue and Forecast (2017-2030)

Chapter 12. Global Enterprise Artificial Intelligence (AI) Market, Regional Estimates and Trend Forecast

12.1. North America

12.1.1. Market Revenue and Forecast, by Deployment Type (2017-2030)

12.1.2. Market Revenue and Forecast, by Technology (2017-2030)

12.1.3. Market Revenue and Forecast, by Organization Size (2017-2030)

12.1.4. Market Revenue and Forecast, by End Use (2017-2030)

12.1.5. U.S.

12.1.5.1. Market Revenue and Forecast, by Deployment Type (2017-2030)

12.1.5.2. Market Revenue and Forecast, by Technology (2017-2030)

12.1.5.3. Market Revenue and Forecast, by Organization Size (2017-2030)

12.1.5.4. Market Revenue and Forecast, by End Use (2017-2030)

12.1.6. Rest of North America

12.1.6.1. Market Revenue and Forecast, by Deployment Type (2017-2030)

12.1.6.2. Market Revenue and Forecast, by Technology (2017-2030)

12.1.6.3. Market Revenue and Forecast, by Organization Size (2017-2030)

12.1.6.4. Market Revenue and Forecast, by End Use (2017-2030)

12.2. Europe

12.2.1. Market Revenue and Forecast, by Deployment Type (2017-2030)

12.2.2. Market Revenue and Forecast, by Technology (2017-2030)

12.2.3. Market Revenue and Forecast, by Organization Size (2017-2030)

12.2.4. Market Revenue and Forecast, by End Use (2017-2030)

12.2.5. UK

12.2.5.1. Market Revenue and Forecast, by Deployment Type (2017-2030)

12.2.5.2. Market Revenue and Forecast, by Technology (2017-2030)

12.2.5.3. Market Revenue and Forecast, by Organization Size (2017-2030)

12.2.5.4. Market Revenue and Forecast, by End Use (2017-2030)

12.2.6. Germany

12.2.6.1. Market Revenue and Forecast, by Deployment Type (2017-2030)

12.2.6.2. Market Revenue and Forecast, by Technology (2017-2030)

12.2.6.3. Market Revenue and Forecast, by Organization Size (2017-2030)

12.2.6.4. Market Revenue and Forecast, by End Use (2017-2030)

12.2.7. France

12.2.7.1. Market Revenue and Forecast, by Deployment Type (2017-2030)

12.2.7.2. Market Revenue and Forecast, by Technology (2017-2030)

12.2.7.3. Market Revenue and Forecast, by Organization Size (2017-2030)

12.2.7.4. Market Revenue and Forecast, by End Use (2017-2030)

12.2.8. Rest of Europe

12.2.8.1. Market Revenue and Forecast, by Deployment Type (2017-2030)

12.2.8.2. Market Revenue and Forecast, by Technology (2017-2030)

12.2.8.3. Market Revenue and Forecast, by Organization Size (2017-2030)

12.2.8.4. Market Revenue and Forecast, by End Use (2017-2030)

12.3. APAC

12.3.1. Market Revenue and Forecast, by Deployment Type (2017-2030)

12.3.2. Market Revenue and Forecast, by Technology (2017-2030)

12.3.3. Market Revenue and Forecast, by Organization Size (2017-2030)

12.3.4. Market Revenue and Forecast, by End Use (2017-2030)

12.3.5. India

12.3.5.1. Market Revenue and Forecast, by Deployment Type (2017-2030)

12.3.5.2. Market Revenue and Forecast, by Technology (2017-2030)

12.3.5.3. Market Revenue and Forecast, by Organization Size (2017-2030)

12.3.5.4. Market Revenue and Forecast, by End Use (2017-2030)

12.3.6. China

12.3.6.1. Market Revenue and Forecast, by Deployment Type (2017-2030)

12.3.6.2. Market Revenue and Forecast, by Technology (2017-2030)

12.3.6.3. Market Revenue and Forecast, by Organization Size (2017-2030)

12.3.6.4. Market Revenue and Forecast, by End Use (2017-2030)

12.3.7. Japan

12.3.7.1. Market Revenue and Forecast, by Deployment Type (2017-2030)

12.3.7.2. Market Revenue and Forecast, by Technology (2017-2030)

12.3.7.3. Market Revenue and Forecast, by Organization Size (2017-2030)

12.3.7.4. Market Revenue and Forecast, by End Use (2017-2030)

12.3.8. Rest of APAC

12.3.8.1. Market Revenue and Forecast, by Deployment Type (2017-2030)

12.3.8.2. Market Revenue and Forecast, by Technology (2017-2030)

12.3.8.3. Market Revenue and Forecast, by Organization Size (2017-2030)

12.3.8.4. Market Revenue and Forecast, by End Use (2017-2030)

12.4. MEA

12.4.1. Market Revenue and Forecast, by Deployment Type (2017-2030)

12.4.2. Market Revenue and Forecast, by Technology (2017-2030)

12.4.3. Market Revenue and Forecast, by Organization Size (2017-2030)

12.4.4. Market Revenue and Forecast, by End Use (2017-2030)

12.4.5. GCC

12.4.5.1. Market Revenue and Forecast, by Deployment Type (2017-2030)

12.4.5.2. Market Revenue and Forecast, by Technology (2017-2030)

12.4.5.3. Market Revenue and Forecast, by Organization Size (2017-2030)

12.4.5.4. Market Revenue and Forecast, by End Use (2017-2030)

12.4.6. North Africa

12.4.6.1. Market Revenue and Forecast, by Deployment Type (2017-2030)

12.4.6.2. Market Revenue and Forecast, by Technology (2017-2030)

12.4.6.3. Market Revenue and Forecast, by Organization Size (2017-2030)

12.4.6.4. Market Revenue and Forecast, by End Use (2017-2030)

12.4.7. South Africa

12.4.7.1. Market Revenue and Forecast, by Deployment Type (2017-2030)

12.4.7.2. Market Revenue and Forecast, by Technology (2017-2030)

12.4.7.3. Market Revenue and Forecast, by Organization Size (2017-2030)

12.4.7.4. Market Revenue and Forecast, by End Use (2017-2030)

12.4.8. Rest of MEA

12.4.8.1. Market Revenue and Forecast, by Deployment Type (2017-2030)

12.4.8.2. Market Revenue and Forecast, by Technology (2017-2030)

12.4.8.3. Market Revenue and Forecast, by Organization Size (2017-2030)

12.4.8.4. Market Revenue and Forecast, by End Use (2017-2030)

12.5. Latin America

12.5.1. Market Revenue and Forecast, by Deployment Type (2017-2030)

12.5.2. Market Revenue and Forecast, by Technology (2017-2030)

12.5.3. Market Revenue and Forecast, by Organization Size (2017-2030)

12.5.4. Market Revenue and Forecast, by End Use (2017-2030)

12.5.5. Brazil

12.5.5.1. Market Revenue and Forecast, by Deployment Type (2017-2030)

12.5.5.2. Market Revenue and Forecast, by Technology (2017-2030)

12.5.5.3. Market Revenue and Forecast, by Organization Size (2017-2030)

12.5.5.4. Market Revenue and Forecast, by End Use (2017-2030)

12.5.6. Rest of LATAM

12.5.6.1. Market Revenue and Forecast, by Deployment Type (2017-2030)

12.5.6.2. Market Revenue and Forecast, by Technology (2017-2030)

12.5.6.3. Market Revenue and Forecast, by Organization Size (2017-2030)

12.5.6.4. Market Revenue and Forecast, by End Use (2017-2030)

Chapter 13. Company Profiles

13.1. Amazon Web Services, Inc.

13.1.1. Company Overview

13.1.2. Product Offerings

13.1.3. Financial Performance

13.1.4. Recent Initiatives

13.2. IBM Corporation

13.2.1. Company Overview

13.2.2. Product Offerings

13.2.3. Financial Performance

13.2.4. Recent Initiatives

13.3. Microsoft Corporation

13.3.1. Company Overview

13.3.2. Product Offerings

13.3.3. Financial Performance

13.3.4. Recent Initiatives

13.4. Oracle Corporation

13.4.1. Company Overview

13.4.2. Product Offerings

13.4.3. Financial Performance

13.4.4. Recent Initiatives

13.5. Intel Corporation

13.5.1. Company Overview

13.5.2. Product Offerings

13.5.3. Financial Performance

13.5.4. Recent Initiatives

13.6. Alphabet Inc.

13.6.1. Company Overview

13.6.2. Product Offerings

13.6.3. Financial Performance

13.6.4. Recent Initiatives

13.7. SAP SE

13.7.1. Company Overview

13.7.2. Product Offerings

13.7.3. Financial Performance

13.7.4. Recent Initiatives

13.8. C3.ai, Inc.

13.8.1. Company Overview

13.8.2. Product Offerings

13.8.3. Financial Performance

13.8.4. Recent Initiatives

13.9. DataRobot, Inc.

13.9.1. Company Overview

13.9.2. Product Offerings

13.9.3. Financial Performance

13.9.4. Recent Initiatives

13.10. Hewlett Packard Enterprise Development LP

13.10.1. Company Overview

13.10.2. Product Offerings

13.10.3. Financial Performance

13.10.4. Recent Initiatives

Chapter 14. Research Methodology

14.1. Primary Research

14.2. Secondary Research

14.3. Assumptions

Chapter 15. Appendix

15.1. About Us

15.2. Glossary of Terms

Thanks for reading you can also get individual chapter-wise sections or region-wise report versions such as North America, Europe, or the Asia Pacific.

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