According to the new research report published by Precedence Research, titled “Enterprise Artificial Intelligence Market (By Deployment Type: Cloud, On-premises; By Technology: Natural Language Processing, 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) – Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2022-2030 (By Product: Traditional, Advanced; By Application: Pottery, Tiles, Abrasives, Sanitary wave, Bricks & pipes, Others; By End User: Medical, Industrial, Building & Construction, Others) – Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2022-2030”, the global enterprise artificial intelligence market size is expected to be worth around US$102.9 billion by 2030 and is poised to record a yearly growth rate of 47.16% from 2022 to 2030. The study investigates several elements and their consequences on the growth of the all-wheel drive market.
This report focuses on enterprise artificial intelligence market volume and value at the global level, regional level and company level. From a global perspective, this report represents the overall enterprise artificial intelligence market size by analysing historical data and future prospects. Regionally, this report focuses on several key regions: North America, Europe, the Middle East & Africa, Latin America, etc.
The research report includes specific segments by region (country), by company, by all segments. This study provides information about the growth and revenue during the historic and forecasted period of 2017 to 2030. Understanding the segments helps in identifying the importance of different factors that aid the market growth.
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The study also provides important advancements in organic and inorganic growth strategies in the worldwide enterprise artificial intelligence market. A lot of corporations are prioritizing new launches, product approvals, and other business expansion techniques. In addition, the report offers profiles of enterprise artificial intelligence market firms and market strategies. Furthermore, the research focuses on top industry participants, providing information such as company profiles, components and services offered, recent financial data, and key developments.
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 |
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Market Key Players
Company profiles have been included in the report, which include essentials such as product portfolio, key strategies, along with all-inclusive SWOT analysis on each player. Company presence is mapped and presented through a matrix for all the prominent players, thus providing readers with actionable insights, which helps in thoughtfully presenting market status and predicting the competition level in the enterprise artificial intelligence market.
Some of the prominent players in the enterprise artificial intelligence market include
- 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)
Report Objectives
- To define, segment, and project the global market size for enterprise artificial intelligence market
- To understand the structure of the market by identifying its various sub-segments
- To provide detailed information about the key factors influencing the growth of the market (drivers, restraints, opportunities, and industry-specific challenges)
- To analyse the micro-markets, with respect to individual growth trends, future prospects, and their contributions to the total market
- To project the size of the market and its submarkets, in terms of value, with respect to global. (along with their respective key countries)
- To profile key players and comprehensively analyse their core competencies
- To understand the competitive landscape and identify major growth strategies adopted by players across the globe.
- To analyse the competitive developments such as expansions & investments, new product launches, mergers & acquisitions, joint ventures, and agreements
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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