Enterprise AI Market by Component (Service, Solution), Technology (Computer Vision, Deep Learning, Edge Computing), Deployment, Organization Size, Application, End-User Industry - Global Forecast 2024-2030

Enterprise AI Market by Component (Service, Solution), Technology (Computer Vision, Deep Learning, Edge Computing), Deployment, Organization Size, Application, End-User Industry - Global Forecast 2024-2030


The Enterprise AI Market size was estimated at USD 7.68 billion in 2023 and expected to reach USD 9.33 billion in 2024, at a CAGR 18.28% to reach USD 24.89 billion by 2030.

FPNV Positioning Matrix

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?PDF E-mail From Publisher (2-5)Users License


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
FIGURE 1. ENTERPRISE AI MARKET RESEARCH PROCESS
FIGURE 2. ENTERPRISE AI MARKET SIZE, 2023 VS 2030
FIGURE 3. ENTERPRISE AI MARKET SIZE, 2018-2030 (USD MILLION)
FIGURE 4. ENTERPRISE AI MARKET SIZE, BY REGION, 2023 VS 2030 (%)
FIGURE 5. ENTERPRISE AI MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 6. ENTERPRISE AI MARKET DYNAMICS
FIGURE 7. ENTERPRISE AI MARKET SIZE, BY COMPONENT, 2023 VS 2030 (%)
FIGURE 8. ENTERPRISE AI MARKET SIZE, BY COMPONENT, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 9. ENTERPRISE AI MARKET SIZE, BY TECHNOLOGY, 2023 VS 2030 (%)
FIGURE 10. ENTERPRISE AI MARKET SIZE, BY TECHNOLOGY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 11. ENTERPRISE AI MARKET SIZE, BY DEPLOYMENT, 2023 VS 2030 (%)
FIGURE 12. ENTERPRISE AI MARKET SIZE, BY DEPLOYMENT, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 13. ENTERPRISE AI MARKET SIZE, BY ORGANIZATION SIZE, 2023 VS 2030 (%)
FIGURE 14. ENTERPRISE AI MARKET SIZE, BY ORGANIZATION SIZE, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 15. ENTERPRISE AI MARKET SIZE, BY APPLICATION, 2023 VS 2030 (%)
FIGURE 16. ENTERPRISE AI MARKET SIZE, BY APPLICATION, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 17. ENTERPRISE AI MARKET SIZE, BY END-USER INDUSTRY, 2023 VS 2030 (%)
FIGURE 18. ENTERPRISE AI MARKET SIZE, BY END-USER INDUSTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 19. AMERICAS ENTERPRISE AI MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 20. AMERICAS ENTERPRISE AI MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 21. UNITED STATES ENTERPRISE AI MARKET SIZE, BY STATE, 2023 VS 2030 (%)
FIGURE 22. UNITED STATES ENTERPRISE AI MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 23. ASIA-PACIFIC ENTERPRISE AI MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 24. ASIA-PACIFIC ENTERPRISE AI MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 25. EUROPE, MIDDLE EAST & AFRICA ENTERPRISE AI MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 26. EUROPE, MIDDLE EAST & AFRICA ENTERPRISE AI MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 27. ENTERPRISE AI MARKET, FPNV POSITIONING MATRIX, 2023
FIGURE 28. ENTERPRISE AI MARKET SHARE, BY KEY PLAYER, 2023

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