Enterprise AI Market by Component, Technology, Deployment, Organization Size, Application, End-User Industry

KEY MARKET STATISTICS
Base Year [2023]	USD 7.68 billion
Estimated Year [2024]	USD 9.33 billion
Forecast Year [2030]	USD 24.89 billion
CAGR (%)	18.28%

The FPNV Positioning Matrix is pivotal in evaluating the Enterprise AI Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Enterprise AI Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Key Company Profiles

The report delves into recent significant developments in the Enterprise AI Market, highlighting leading vendors and their innovative profiles. These include Accenture PLC, Adobe Inc., Alteryx, Inc., Amazon Web Services, Inc., C3.ai, Inc., Cisco Systems, Inc., Cognizant Technology Solutions Corporation, Databricks, Inc., Dataiku, Dell Inc., Fujitsu Limited, Genpact, Google LLC by Alphabet Inc., Hewlett Packard Enterprise Development LP, Hitachi, Ltd., Huawei Technologies Co., Ltd., Infosys Limited, Intel Corporation, International Business Machines Corporation, Microsoft Corporation, NEC Corporation, Nvidia Corporation, OpenAI OpCo, LLC, Oracle Corporation, Salesforce, Inc., SAP SE, Siemens AG, Tata Consultancy Services, UiPath., and Wipro Limited.

Market Segmentation & Coverage

This research report categorizes the Enterprise AI Market to forecast the revenues and analyze trends in each of the following sub-markets:

Component
- Service
  - Managed Service
  - Professional Service
- Solution
Technology
- Computer Vision
- Deep Learning
- Edge Computing
- Machine Learning
- Natural Language Processing
Deployment
- On-Cloud
- On-Premises
Organization Size
- Large Enterprises
- Small & Medium Enterprises
Application
- Analytics Application
- Customer Support & Experience
- Human resource & Recruitment management
- Marketing management
- Process Automation
- Security & risk management
End-User Industry
- Agriculture
- Automotive & Transportation
- BFSI
- Healthcare
- IT & Telecommunications
- Manufacturing
- Media & Advertising
- Retail & eCommerce
Region
- Americas
  - Argentina
  - Brazil
  - Canada
  - Mexico
  - United States
    - California
    - Florida
    - Illinois
    - New York
    - Ohio
    - Pennsylvania
    - Texas
- Asia-Pacific
  - Australia
  - China
  - India
  - Indonesia
  - Japan
  - Malaysia
  - Philippines
  - Singapore
  - South Korea
  - Taiwan
  - Thailand
  - Vietnam
- Europe, Middle East & Africa
  - Denmark
  - Egypt
  - Finland
  - France
  - Germany
  - Israel
  - Italy
  - Netherlands
  - Nigeria
  - Norway
  - Poland
  - Qatar
  - Russia
  - Saudi Arabia
  - South Africa
  - Spain
  - Sweden
  - Switzerland
  - Turkey
  - United Arab Emirates
  - United Kingdom

The report offers valuable insights on the following aspects:

1. Market Penetration: It presents comprehensive information on the market provided by key players.

2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.

3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.

4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.

5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.

The report addresses key questions such as:

1. What is the market size and forecast of the Enterprise AI Market?

2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Enterprise AI Market?

3. What are the technology trends and regulatory frameworks in the Enterprise AI Market?

4. What is the market share of the leading vendors in the Enterprise AI Market?

5. Which modes and strategic moves are suitable for entering the Enterprise AI Market?

Product Code: MRR-C002B1C9980D

1. Preface

1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Limitations
1.7. Assumptions
1.8. Stakeholders

2. Research Methodology

2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

4.1. Introduction
4.2. Enterprise AI Market, by Region

5. Market Insights

5.1. Market Dynamics
- 5.1.1. Drivers
  - 5.1.1.1. Increasing adoption of digitalization in several industries
  - 5.1.1.2. Surging need for data-driven solutions across businesses
  - 5.1.1.3. Rising demand for efficient work-flow management in companies
- 5.1.2. Restraints
  - 5.1.2.1. Lack of technical expertise and resources
- 5.1.3. Opportunities
  - 5.1.3.1. Availability of customized enterprise AI solutions
  - 5.1.3.2. Substantial investment in artificial intelligence technologies
- 5.1.4. Challenges
  - 5.1.4.1. Risks associated with data privacy and security
5.2. Market Segmentation Analysis
5.3. Market Trend Analysis
5.4. Cumulative Impact of High Inflation
5.5. Porter's Five Forces Analysis
- 5.5.1. Threat of New Entrants
- 5.5.2. Threat of Substitutes
- 5.5.3. Bargaining Power of Customers
- 5.5.4. Bargaining Power of Suppliers
- 5.5.5. Industry Rivalry
5.6. Value Chain & Critical Path Analysis
5.7. Regulatory Framework

6. Enterprise AI Market, by Component

6.1. Introduction
6.2. Service
- 6.3.1. Managed Service
- 6.3.2. Professional Service
6.3. Solution

7. Enterprise AI Market, by Technology

7.1. Introduction
7.2. Computer Vision
7.3. Deep Learning
7.4. Edge Computing
7.5. Machine Learning
7.6. Natural Language Processing

8. Enterprise AI Market, by Deployment

8.1. Introduction
8.2. On-Cloud
8.3. On-Premises

9. Enterprise AI Market, by Organization Size

9.1. Introduction
9.2. Large Enterprises
9.3. Small & Medium Enterprises

10. Enterprise AI Market, by Application

10.1. Introduction
10.2. Analytics Application
10.3. Customer Support & Experience
10.4. Human resource & Recruitment management
10.5. Marketing management
10.6. Process Automation
10.7. Security & risk management

11. Enterprise AI Market, by End-User Industry

11.1. Introduction
11.2. Agriculture
11.3. Automotive & Transportation
11.4. BFSI
11.5. Healthcare
11.6. IT & Telecommunications
11.7. Manufacturing
11.8. Media & Advertising
11.9. Retail & eCommerce

12. Americas Enterprise AI Market

12.1. Introduction
12.2. Argentina
12.3. Brazil
12.4. Canada
12.5. Mexico
12.6. United States

13. Asia-Pacific Enterprise AI Market

13.1. Introduction
13.2. Australia
13.3. China
13.4. India
13.5. Indonesia
13.6. Japan
13.7. Malaysia
13.8. Philippines
13.9. Singapore
13.10. South Korea
13.11. Taiwan
13.12. Thailand
13.13. Vietnam

14. Europe, Middle East & Africa Enterprise AI Market

14.1. Introduction
14.2. Denmark
14.3. Egypt
14.4. Finland
14.5. France
14.6. Germany
14.7. Israel
14.8. Italy
14.9. Netherlands
14.10. Nigeria
14.11. Norway
14.12. Poland
14.13. Qatar
14.14. Russia
14.15. Saudi Arabia
14.16. South Africa
14.17. Spain
14.18. Sweden
14.19. Switzerland
14.20. Turkey
14.21. United Arab Emirates
14.22. United Kingdom

15. Competitive Landscape

15.1. FPNV Positioning Matrix
15.2. Market Share Analysis, By Key Player
15.3. Competitive Scenario Analysis, By Key Player

16. Competitive Portfolio

16.1. Key Company Profiles
- 16.1.1. Accenture PLC
- 16.1.2. Adobe Inc.
- 16.1.3. Alteryx, Inc.
- 16.1.4. Amazon Web Services, Inc.
- 16.1.5. C3.ai, Inc.
- 16.1.6. Cisco Systems, Inc.
- 16.1.7. Cognizant Technology Solutions Corporation
- 16.1.8. Databricks, Inc.
- 16.1.9. Dataiku
- 16.1.10. Dell Inc.
- 16.1.11. Fujitsu Limited
- 16.1.12. Genpact
- 16.1.13. Google LLC by Alphabet Inc.
- 16.1.14. Hewlett Packard Enterprise Development LP
- 16.1.15. Hitachi, Ltd.
- 16.1.16. Huawei Technologies Co., Ltd.
- 16.1.17. Infosys Limited
- 16.1.18. Intel Corporation
- 16.1.19. International Business Machines Corporation
- 16.1.20. Microsoft Corporation
- 16.1.21. NEC Corporation
- 16.1.22. Nvidia Corporation
- 16.1.23. OpenAI OpCo, LLC
- 16.1.24. Oracle Corporation
- 16.1.25. Salesforce, Inc.
- 16.1.26. SAP SE
- 16.1.27. Siemens AG
- 16.1.28. Tata Consultancy Services
- 16.1.29. UiPath.
- 16.1.30. Wipro Limited
16.2. Key Product Portfolio

17. Appendix

17.1. Discussion Guide
17.2. License & Pricing