The enterprise artificial intelligence (AI) market would grow at a CAGR of 47.16% over the predicted time frame. The market is expected to increase in value from US$ 16.81 Bn in 2022 to US$ 102.9 Bn in 2030.
Key Takeaways:
- By deployment type, the cloud segment accounted for around 62.9% of total revenue in 2021 and is projected to grow at the greatest CAGR of around 36.40% from 2022 to 2030.
- By technology, the natural language processing segment is predicted to increase at a CAGR of 33.40% from 2022 to 2030 and contribute to the highest revenue share of over 33.40% in 2021.
- By technology, the computer vision segment is anticipated to develop at a CAGR of 36.6% from 2022 to 2030.
- By end use, it & telecom segment is projected to increase at a CAGR of 32.40% from 2022 to 2030 and has captured USD 2.98 billion revenue share in 2021.
- By organization size, the large enterprises segment held the largest revenue share of around 64% in 2021.
- By organization size, the small and medium enterprises segment is predicted to experience the quickest CAGR of 38.6%
The on enterprise artificial intelligence (AI) Market, which provides a business strategy, research & development activities, concise outline of the market valuation, valuable insights pertaining to market share, size, supply chain analysis, competitive landscape and regional proliferation of this industry.
Download Free Sample@ https://www.precedenceresearch.com/sample/2411
A recent report provides crucial insights along with application based and forecast information in the Global Enterprise artificial intelligence (AI) Market. The report provides a comprehensive analysis of key factors that are expected to drive the growth of this market. This study also provides a detailed overview of the opportunities along with the current trends observed in the Enterprise artificial intelligence (AI) market.
A quantitative analysis of the industry is compiled for a period of 10 years in order to assist players to grow in the market. Insights on specific revenue figures generated are also given in the report, along with projected revenue at the end of the forecast period.
Companies and Manufacturers Covered
The study covers key players operating in the market along with prime schemes and strategies implemented by each player to hold high positions in the industry. Such a tough vendor landscape provides a competitive outlook of the industry, consequently existing as a key insight. These insights were thoroughly analysed and prime business strategies and products that offer high revenue generation capacities were identified. Key players of the global Enterprise artificial intelligence (AI) market are included as given below:
Enterprise artificial intelligence (AI) Market 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
Market Segments
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)
Report Objectives
- To define, describe, and forecast the global enterprise artificial intelligence (AI) market based on product, and region
- To provide detailed information regarding the major factors influencing the growth of the market (drivers, opportunities, and industry-specific challenges)
- To strategically analyze micromarkets1 with respect to individual growth trends, future prospects, and contributions to the total market
- To analyze opportunities in the market for stakeholders and provide details of the competitive landscape for market leaders
- To forecast the size of market segments with respect to four main regions—North America, Europe, Asia Pacific and the Rest of the World (RoW)2
- To strategically profile key players and comprehensively analyze their product portfolios, market shares, and core competencies3
- To track and analyze competitive developments such as acquisitions, expansions, new product launches, and partnerships in the enterprise artificial intelligence (AI) market
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
Contact Us:
Precedence Research
Apt 1408 1785 Riverside Drive Ottawa, ON, K1G 3T7, Canada
Call: +1 774 402 6168
Email: sales@precedenceresearch.com
Website: https://www.precedenceresearch.com
0 Comments