
Software and services that analyze e-commerce through big data.
Highlights
The global Big Data in E-commerce market was valued at US$ million in 2022 and is anticipated to reach US$ million by 2029, witnessing a CAGR of % during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
Software and services that analyze e-commerce through big data.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Big Data in E-commerce, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Big Data in E-commerce.
The Big Data in E-commerce market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global Big Data in E-commerce market comprehensively. Regional market sizes, concerning products by type, by application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Big Data in E-commerce companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by type, by application, and by regions.
By Company
Amazon Web Services, Inc.
Data Inc
Dell Inc.
Hewlett Packard Enterprise
Hitachi, Ltd.
IBM Corp.
Microsoft Corp.
Oracle Corp.
Palantir Technologies, Inc.
SAS Institute Inc.
Splunk Inc.
Teradata Corp.
Segment by Type
Structured Big Data
Unstructured Big Data
Semi-structured Big Data
Segment by Application
Online Classifieds
Online Education
Online Financials
Online Retail
Online Travel and Leisure
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Core Chapters
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Big Data in E-commerce companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the key companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Big Data in E-commerce Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Structured Big Data
1.2.3 Unstructured Big Data
1.2.4 Semi-structured Big Data
1.3 Market by Application
1.3.1 Global Big Data in E-commerce Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Online Classifieds
1.3.3 Online Education
1.3.4 Online Financials
1.3.5 Online Retail
1.3.6 Online Travel and Leisure
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Big Data in E-commerce Market Perspective (2018-2029)
2.2 Big Data in E-commerce Growth Trends by Region
2.2.1 Global Big Data in E-commerce Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 Big Data in E-commerce Historic Market Size by Region (2018-2023)
2.2.3 Big Data in E-commerce Forecasted Market Size by Region (2024-2029)
2.3 Big Data in E-commerce Market Dynamics
2.3.1 Big Data in E-commerce Industry Trends
2.3.2 Big Data in E-commerce Market Drivers
2.3.3 Big Data in E-commerce Market Challenges
2.3.4 Big Data in E-commerce Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Big Data in E-commerce Players by Revenue
3.1.1 Global Top Big Data in E-commerce Players by Revenue (2018-2023)
3.1.2 Global Big Data in E-commerce Revenue Market Share by Players (2018-2023)
3.2 Global Big Data in E-commerce Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Big Data in E-commerce Revenue
3.4 Global Big Data in E-commerce Market Concentration Ratio
3.4.1 Global Big Data in E-commerce Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Big Data in E-commerce Revenue in 2022
3.5 Big Data in E-commerce Key Players Head office and Area Served
3.6 Key Players Big Data in E-commerce Product Solution and Service
3.7 Date of Enter into Big Data in E-commerce Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Big Data in E-commerce Breakdown Data by Type
4.1 Global Big Data in E-commerce Historic Market Size by Type (2018-2023)
4.2 Global Big Data in E-commerce Forecasted Market Size by Type (2024-2029)
5 Big Data in E-commerce Breakdown Data by Application
5.1 Global Big Data in E-commerce Historic Market Size by Application (2018-2023)
5.2 Global Big Data in E-commerce Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America Big Data in E-commerce Market Size (2018-2029)
6.2 North America Big Data in E-commerce Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Big Data in E-commerce Market Size by Country (2018-2023)
6.4 North America Big Data in E-commerce Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Big Data in E-commerce Market Size (2018-2029)
7.2 Europe Big Data in E-commerce Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Big Data in E-commerce Market Size by Country (2018-2023)
7.4 Europe Big Data in E-commerce Market Size by Country (2024-2029)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Big Data in E-commerce Market Size (2018-2029)
8.2 Asia-Pacific Big Data in E-commerce Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Big Data in E-commerce Market Size by Region (2018-2023)
8.4 Asia-Pacific Big Data in E-commerce Market Size by Region (2024-2029)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Big Data in E-commerce Market Size (2018-2029)
9.2 Latin America Big Data in E-commerce Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Big Data in E-commerce Market Size by Country (2018-2023)
9.4 Latin America Big Data in E-commerce Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Big Data in E-commerce Market Size (2018-2029)
10.2 Middle East & Africa Big Data in E-commerce Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Big Data in E-commerce Market Size by Country (2018-2023)
10.4 Middle East & Africa Big Data in E-commerce Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Amazon Web Services, Inc.
11.1.1 Amazon Web Services, Inc. Company Detail
11.1.2 Amazon Web Services, Inc. Business Overview
11.1.3 Amazon Web Services, Inc. Big Data in E-commerce Introduction
11.1.4 Amazon Web Services, Inc. Revenue in Big Data in E-commerce Business (2018-2023)
11.1.5 Amazon Web Services, Inc. Recent Development
11.2 Data Inc
11.2.1 Data Inc Company Detail
11.2.2 Data Inc Business Overview
11.2.3 Data Inc Big Data in E-commerce Introduction
11.2.4 Data Inc Revenue in Big Data in E-commerce Business (2018-2023)
11.2.5 Data Inc Recent Development
11.3 Dell Inc.
11.3.1 Dell Inc. Company Detail
11.3.2 Dell Inc. Business Overview
11.3.3 Dell Inc. Big Data in E-commerce Introduction
11.3.4 Dell Inc. Revenue in Big Data in E-commerce Business (2018-2023)
11.3.5 Dell Inc. Recent Development
11.4 Hewlett Packard Enterprise
11.4.1 Hewlett Packard Enterprise Company Detail
11.4.2 Hewlett Packard Enterprise Business Overview
11.4.3 Hewlett Packard Enterprise Big Data in E-commerce Introduction
11.4.4 Hewlett Packard Enterprise Revenue in Big Data in E-commerce Business (2018-2023)
11.4.5 Hewlett Packard Enterprise Recent Development
11.5 Hitachi, Ltd.
11.5.1 Hitachi, Ltd. Company Detail
11.5.2 Hitachi, Ltd. Business Overview
11.5.3 Hitachi, Ltd. Big Data in E-commerce Introduction
11.5.4 Hitachi, Ltd. Revenue in Big Data in E-commerce Business (2018-2023)
11.5.5 Hitachi, Ltd. Recent Development
11.6 IBM Corp.
11.6.1 IBM Corp. Company Detail
11.6.2 IBM Corp. Business Overview
11.6.3 IBM Corp. Big Data in E-commerce Introduction
11.6.4 IBM Corp. Revenue in Big Data in E-commerce Business (2018-2023)
11.6.5 IBM Corp. Recent Development
11.7 Microsoft Corp.
11.7.1 Microsoft Corp. Company Detail
11.7.2 Microsoft Corp. Business Overview
11.7.3 Microsoft Corp. Big Data in E-commerce Introduction
11.7.4 Microsoft Corp. Revenue in Big Data in E-commerce Business (2018-2023)
11.7.5 Microsoft Corp. Recent Development
11.8 Oracle Corp.
11.8.1 Oracle Corp. Company Detail
11.8.2 Oracle Corp. Business Overview
11.8.3 Oracle Corp. Big Data in E-commerce Introduction
11.8.4 Oracle Corp. Revenue in Big Data in E-commerce Business (2018-2023)
11.8.5 Oracle Corp. Recent Development
11.9 Palantir Technologies, Inc.
11.9.1 Palantir Technologies, Inc. Company Detail
11.9.2 Palantir Technologies, Inc. Business Overview
11.9.3 Palantir Technologies, Inc. Big Data in E-commerce Introduction
11.9.4 Palantir Technologies, Inc. Revenue in Big Data in E-commerce Business (2018-2023)
11.9.5 Palantir Technologies, Inc. Recent Development
11.10 SAS Institute Inc.
11.10.1 SAS Institute Inc. Company Detail
11.10.2 SAS Institute Inc. Business Overview
11.10.3 SAS Institute Inc. Big Data in E-commerce Introduction
11.10.4 SAS Institute Inc. Revenue in Big Data in E-commerce Business (2018-2023)
11.10.5 SAS Institute Inc. Recent Development
11.11 Splunk Inc.
11.11.1 Splunk Inc. Company Detail
11.11.2 Splunk Inc. Business Overview
11.11.3 Splunk Inc. Big Data in E-commerce Introduction
11.11.4 Splunk Inc. Revenue in Big Data in E-commerce Business (2018-2023)
11.11.5 Splunk Inc. Recent Development
11.12 Teradata Corp.
11.12.1 Teradata Corp. Company Detail
11.12.2 Teradata Corp. Business Overview
11.12.3 Teradata Corp. Big Data in E-commerce Introduction
11.12.4 Teradata Corp. Revenue in Big Data in E-commerce Business (2018-2023)
11.12.5 Teradata Corp. Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Amazon Web Services, Inc.
Data Inc
Dell Inc.
Hewlett Packard Enterprise
Hitachi, Ltd.
IBM Corp.
Microsoft Corp.
Oracle Corp.
Palantir Technologies, Inc.
SAS Institute Inc.
Splunk Inc.
Teradata Corp.
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*If Applicable.
