by Artificial Intelligence in E-commerce Market Analysis, Size, Share, Types, Application, Trends, Industry Overview with Top manufacturers by 2021-2027
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Artificial Intelligence in E-commerce Market Report Scope
A recent study by Precedence Research on the artificial intelligence in e-commerce market offers a forecast for 2022 and 2030. The study analyzes crucial trends that are currently determining the growth of the artificial intelligence in e-commerce market. This report explicates on vital dynamics such as the drivers, restraints, and opportunities for key market players, along with key stakeholders as well as emerging players associated with the manufacturing of artificial intelligence in e-commerce. The study also provides the dynamics that are responsible for influencing the future status of the artificial intelligence in e-commerce market over the forecast period.
A detailed assessment of the artificial intelligence in e-commerce market value chain analysis, business execution, and supply chain analysis across regional markets has been covered in the report. A list of prominent companies operating in the artificial intelligence in e-commerce market along with their product portfolio enhances the reliability of this comprehensive research study.
Competition Landscape
The report has engulfed a chapter on the global artificial intelligence in e-commerce market’s competitive landscape, which provides detailed analysis and insights on companies offering artificial intelligence in e-commerce. Profiles of key companies, along with a strategic overview of their M&A and expansion plans across geographies, have been delivered in this chapter. This chapter is priceless for report readers, as its enables them in gauging their growth potential in the market and implement key strategies for extending their market reach.
This chapter offers key recommendations for both new and existing market participants, enabling them to emerge sustainably and profitably. Intelligence on the market players has been delivered on the basis of their product overview, SWOT analysis, key developments, key financials and company overview. Occupancy of these market participants has been tracked by the report and portrayed via an intensity map.
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Some of the Prominent Players in the Artificial Intelligence in E-commerce Market Include:
- Amazon Web Services, Inc.
- Apple Inc.
- Google LLC
- IBM Corporation
- Intel Corporation
- Microsoft Corporation
- Nvidia
- Oracle Corporation
- SAP SE
- Siemens
Artificial Intelligence in E-commerce Market Segmentation
By End User
- IT and Telecommunication
- Retail and E-Commerce
- BFSI
- Healthcare
- Manufacturing
- Automotive
- Others
Regional Segmentation
- Asia-Pacific [China, Southeast Asia, India, Japan, Korea, Western Asia]
- Europe [Germany, UK, France, Italy, Russia, Spain, Netherlands, Turkey, Switzerland]
- North America [United States, Canada, Mexico]
- South America [Brazil, Argentina, Columbia, Chile, Peru]
- Middle East & Africa [GCC, North Africa, South Africa]
Regional Analysis
The research report includes a detailed study of regions of North America, Europe, China, Japan and Rest of the World. The report has been curated after observing and studying various factors that determine regional growth such as economic, environmental, social, technological, and political status of the particular region. Analysts have studied the data of revenue and manufacturers of each region. This section analyses region-wise revenue and volume for the forecast period of 2022 to 2030. These analyses will help the reader to understand the potential worth of investment in a particular region.
The report provides in-depth segment analysis of the global artificial intelligence in e-commerce market, thereby providing valuable insights at macro as well as micro levels. Analysis of major countries, which hold growth opportunities or account for significant share has also been included as part of geographic analysis of the artificial intelligence in e-commerce market.
The report includes country-wise and region-wise market size for the period 2022-2030. It also includes market size and forecast by segments in terms of production capacity, price and revenue for the period 2022-2030.
Why should you invest in this report?
If you are aiming to enter the global artificial intelligence in e-commerce market, this report is a comprehensive guide that provides crystal clear insights into this niche market. All the major application areas for artificial intelligence in e-commerce 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.
Table of Contents
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. Market Dynamics Analysis and Trends
5.1. Market Dynamics
5.1.1. Market Drivers
5.1.2. Market Restraints
5.1.3. Market Opportunities
5.2. Porter’s Five Forces Analysis
5.2.1. Bargaining power of suppliers
5.2.2. Bargaining power of buyers
5.2.3. Threat of substitute
5.2.4. Threat of new entrants
5.2.5. Degree of competition
Chapter 6. Competitive Landscape
6.1.1. Company Market Share/Positioning Analysis
6.1.2. Key Strategies Adopted by Players
6.1.3. Vendor Landscape
6.1.3.1. List of Suppliers
6.1.3.2. List of Buyers
Chapter 7. Global Artificial Intelligence in E-commerce Market, By Application
7.1. Artificial Intelligence in E-commerce Market, by Application, 2022-2030
7.1.1. IT and Telecommunication
7.1.1.1. Market Revenue and Forecast (2017-2030)
7.1.2. Retail and E-Commerce
7.1.2.1. Market Revenue and Forecast (2017-2030)
7.1.3. BFSI
7.1.3.1. Market Revenue and Forecast (2017-2030)
7.1.4. Healthcare
7.1.4.1. Market Revenue and Forecast (2017-2030)
7.1.5.Manufacturing
7.1.5.1. Market Revenue and Forecast (2017-2030)
7.1.6. Automotive
7.1.6.1. Market Revenue and Forecast (2017-2030)
7.1.7. Others
7.1.7.1. Market Revenue and Forecast (2017-2030)
Chapter 8. Global Artificial Intelligence in E-commerce Market, Regional Estimates and Trend Forecast
8.1. North America
8.1.1. Market Revenue and Forecast, by Application (2017-2030)
8.1.2. U.S.
8.1.3. Rest of North America
8.1.3.1. Market Revenue and Forecast, by Application (2017-2030)
8.2. Europe
8.2.1. Market Revenue and Forecast, by Application (2017-2030)
8.2.2. UK
8.2.2.1. Market Revenue and Forecast, by Application (2017-2030)
8.2.3. France
8.2.3.1. Market Revenue and Forecast, by Application (2017-2030)
8.2.4. Rest of Europe
8.2.4.1. Market Revenue and Forecast, by Application (2017-2030)
8.3. APAC
8.3.1. Market Revenue and Forecast, by Application (2017-2030)
8.3.2. India
8.3.2.1. Market Revenue and Forecast, by Application (2017-2030)
8.3.3. China
8.3.3.1. Market Revenue and Forecast, by Application (2017-2030)
8.3.4. Japan
8.3.4.1. Market Revenue and Forecast, by Application (2017-2030)
8.3.5. Rest of APAC
8.3.5.1. Market Revenue and Forecast, by Application (2017-2030)
8.4. MEA
8.4.1. Market Revenue and Forecast, by Application (2017-2030)
8.4.2. GCC
8.4.2.1. Market Revenue and Forecast, by Application (2017-2030)
8.4.3. North Africa
8.4.3.1. Market Revenue and Forecast, by Application (2017-2030)
8.4.4. South Africa
8.4.4.1. Market Revenue and Forecast, by Application (2017-2030)
8.4.5. Rest of MEA
8.4.5.1. Market Revenue and Forecast, by Application (2017-2030)
8.5. Latin America
8.5.1. Market Revenue and Forecast, by Application (2017-2030)
8.5.2. Brazil
8.5.2.1. Market Revenue and Forecast, by Application (2017-2030)
8.5.3. Rest of LATAM
8.5.3.1. Market Revenue and Forecast, by Application (2017-2030)
Chapter 9. Company Profiles
9.1. Amazon Web Services, Inc.
9.1.1. Company Overview
9.1.2. Product Offerings
9.1.3. Financial Performance
9.1.4. Recent Initiatives
9.2. Apple Inc.
9.2.1. Company Overview
9.2.2. Product Offerings
9.2.3. Financial Performance
9.2.4. Recent Initiatives
9.3. Google LLC
9.3.1. Company Overview
9.3.2. Product Offerings
9.3.3. Financial Performance
9.3.4. Recent Initiatives
9.4. IBM Corporation
9.4.1. Company Overview
9.4.2. Product Offerings
9.4.3. Financial Performance
9.4.4. Recent Initiatives
9.5. Intel Corporation
9.5.1. Company Overview
9.5.2. Product Offerings
9.5.3. Financial Performance
9.5.4. Recent Initiatives
9.6. Microsoft Corporation
9.6.1. Company Overview
9.6.2.Product Offerings
9.6.3. Financial Performance
9.6.4. Recent Initiatives
9.7. Nvidia
9.7.1. Company Overview
9.7.2. Product Offerings
9.7.3. Financial Performance
9.7.4. Recent Initiatives
9.8. Oracle Corporation
9.8.1. Company Overview
9.8.2. Product Offerings
9.8.3. Financial Performance
9.8.4. Recent Initiatives
9.9. SAP SE
9.9.1. Company Overview
9.9.2. Product Offerings
9.9.3. Financial Performance
9.9.4. Recent Initiatives
9.10. Siemens
9.10.1. Company Overview
9.10.2. Product Offerings
9.10.3. Financial Performance
9.10.4. Recent Initiatives
Chapter 10. Research Methodology
10.1. Primary Research
10.2. Secondary Research
10.3. Assumptions
Chapter 11. Appendix
11.1. About Us
11.2. Glossary of Terms
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