June 5, 2024
ICT

Enterprise Artificial Intelligence Market Size to Grow US$ 102.9 Billion By 2030

The global enterprise artificial intelligence market size was approximate at US$ 16.81 billion in 2022 and is anticipated to grow US$ 102.9 billion by 2030, registering a compound annual growth rate of 47.16% from 2022 to 2030.

Enterprise Artificial Intelligence (AI) Market Size 2022 To 2030

The enterprise artificial intelligence market report covering various industry elements and growth trends helpful for predicting the market’s future.

The study provides a strong base for the enterprise artificial intelligence market to be segmented into different segments. In fact, the study also covers the maximum market share during the assessment period by 2030.

This study is based on the partners that are highly competitive, key players as well as their market revenue in the forecast years of 2022 to 2030. There is also a strong focus on product revenues, sales, product categories and even the products that are experiencing the most traction. In this manner, the enterprise artificial intelligence report also speaks about the effectiveness of this market along with its growth during the forecast period of 2030. Other major attributes of the enterprise artificial intelligence market have been studied and analysed across many developments.

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Enterprise Artificial Intelligence Market Report Scope 

Report Coverage Details
Market Size in 2022 USD 16.81 Billion
Market Size by 2030 USD 102.9 Billion
Growth Rate from 2022 to 2030 CAGR of 47.16%
Base Year 2021
Forecast Period 2022 to 2030
Segments Covered
  • By Deployment Type
  • By Technology
  • By Organization Size
  • By End Use

Also read: Hyperloop Train Market Size, Share, Report 2030

Research Approach

The comprehensive report on the global enterprise artificial intelligence market begins with an overview, followed by the scope and objectives of the study. The report provides detailed explanation of the objectives behind this study and key vendors and distributors operating in the market and regulatory scenario for approval of products. Following this, the report provides detailed explanation of objectives of this study and laid down by accredited agencies in the purview of research in the global enterprise artificial intelligence market.

It is followed by market introduction, market dynamics, and an overview of the global market, which includes analysis of market drivers, restraints, and trends pertaining to the global market. Furthermore, Y-o-Y growth analysis with elaborated insights has been provided in order to understand the Y-o-Y growth trend of the global market.

For reading comprehensibility, the report has been compiled in a chapter-wise layout, with each section divided into smaller sections. The report comprises an exhaustive collection of graphs and tables that are appropriately interspersed. Pictorial representation of actual and projected values of key segments is visually appealing to readers. This also allows comparison of the market shares of key segments in the past and at the end of the forecast period.

Key Players

  • 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

Enterprise Artificial Intelligence Market Segmentations

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

By Geography

  • North America
  • Europe
  • Asia-Pacific
  • Latin America
  • Middle East & Africa (MEA)

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

Why should you invest in this report?

If you are aiming to enter the global enterprise artificial intelligence market, this report is a comprehensive guide that provides crystal clear insights into this niche market. All the major application areas for enterprise artificial intelligence are covered in this report and information is given on the important regions of the world where this market is likely to boom during the forecast period of 2022-2030 so that you can plan your strategies to enter this market accordingly.

Besides, through this report, you can have a complete grasp of the level of competition you will be facing in this hugely competitive market and if you are an established player in this market already, this report will help you gauge the strategies that your competitors have adopted to stay as market leaders in this market. For new entrants to this market, the voluminous data provided in this report is invaluable.

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Prathamesh

I have completed my education in Bachelors in Computer Application. A focused learner having a keen interest in the field of digital marketing, SEO, SMM, and Google Analytics enthusiastic to learn new things along with building leadership skills.

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