The global Customer Analytics in E-commerce market size was valued at USD million in 2023 and is forecast to a readjusted size of USD million by 2030 with a CAGR of % during review period.
Consumer analytics in e-commerce are tools that enables organizations to collect crucial data about all the aspects of their online store which allows to understands the trends and changes in consumer behavior. These tools provide insights to the organizations such as from where the customer landed on website, time spend of by visitors on the website, products browsed, and among others. Thus, consumer analytics in e-commerce enables organization to make data driven decision.
According to International Telecommunication Union (ITU), the global Internet users (online population) were more than 5 billion. And the number of online shoppers was also increasing. In 2022, the global e-commerce market penetration rate increased to 19.7%, and the e-commerce market reached $5.5 trillion. At the same time, the Asian e-commerce market ranked at the top of the revenue ranking, which has reached $1.8 trillion. According to the National Bureau of Statistics, China was the largest online retail market in 2022, with online retail sales of 13.79 trillion yuan and a year-on-year increase of 4%. Among them, the online retail sales of physical goods were 11.96 trillion yuan, with a year-on-year increase of 6.2%, which accounted for 27.2% of the total retail sales of consumer goods.
The publisher report includes an overview of the development of the Customer Analytics in E-commerce industry chain, the market status of SME (On Premise, Cloud), Large Enterprise (On Premise, Cloud), and key enterprises in developed and developing market, and analysed the cutting-edge technology, patent, hot applications and market trends of Customer Analytics in E-commerce.
Regionally, the report analyzes the Customer Analytics in E-commerce markets in key regions. North America and Europe are experiencing steady growth, driven by government initiatives and increasing consumer awareness. Asia-Pacific, particularly China, leads the global Customer Analytics in E-commerce market, with robust domestic demand, supportive policies, and a strong manufacturing base.
Key Features:
The report presents comprehensive understanding of the Customer Analytics in E-commerce market. It provides a holistic view of the industry, as well as detailed insights into individual components and stakeholders. The report analysis market dynamics, trends, challenges, and opportunities within the Customer Analytics in E-commerce industry.
The report involves analyzing the market at a macro level:
麻豆原创 Sizing and Segmentation: Report collect data on the overall market size, including the revenue generated, and market share of different by Type (e.g., On Premise, Cloud).
Industry Analysis: Report analyse the broader industry trends, such as government policies and regulations, technological advancements, consumer preferences, and market dynamics. This analysis helps in understanding the key drivers and challenges influencing the Customer Analytics in E-commerce market.
Regional Analysis: The report involves examining the Customer Analytics in E-commerce market at a regional or national level. Report analyses regional factors such as government incentives, infrastructure development, economic conditions, and consumer behaviour to identify variations and opportunities within different markets.
麻豆原创 Projections: Report covers the gathered data and analysis to make future projections and forecasts for the Customer Analytics in E-commerce market. This may include estimating market growth rates, predicting market demand, and identifying emerging trends.
The report also involves a more granular approach to Customer Analytics in E-commerce:
Company Analysis: Report covers individual Customer Analytics in E-commerce players, suppliers, and other relevant industry players. This analysis includes studying their financial performance, market positioning, product portfolios, partnerships, and strategies.
Consumer Analysis: Report covers data on consumer behaviour, preferences, and attitudes towards Customer Analytics in E-commerce This may involve surveys, interviews, and analysis of consumer reviews and feedback from different by Application (SME, Large Enterprise).
Technology Analysis: Report covers specific technologies relevant to Customer Analytics in E-commerce. It assesses the current state, advancements, and potential future developments in Customer Analytics in E-commerce areas.
Competitive Landscape: By analyzing individual companies, suppliers, and consumers, the report present insights into the competitive landscape of the Customer Analytics in E-commerce market. This analysis helps understand market share, competitive advantages, and potential areas for differentiation among industry players.
麻豆原创 Validation: The report involves validating findings and projections through primary research, such as surveys, interviews, and focus groups.
麻豆原创 Segmentation
Customer Analytics in E-commerce market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of value.
麻豆原创 segment by Type
On Premise
Cloud
麻豆原创 segment by Application
SME
Large Enterprise
麻豆原创 segment by players, this report covers
IBM
ADVERITY
Atos
Happiest Minds
Looker Data Sciences, Inc.
Microsoft Corp.
Oracle Corporation
SavvyCube
Wigzo
Woopra, Inc.
麻豆原创 segment by regions, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, UK, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific)
South America (Brazil, Argentina and Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe Customer Analytics in E-commerce product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Customer Analytics in E-commerce, with revenue, gross margin and global market share of Customer Analytics in E-commerce from 2019 to 2024.
Chapter 3, the Customer Analytics in E-commerce competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and application, with consumption value and growth rate by Type, application, from 2019 to 2030.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2019 to 2024.and Customer Analytics in E-commerce market forecast, by regions, type and application, with consumption value, from 2025 to 2030.
Chapter 11, market dynamics, drivers, restraints, trends and Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of Customer Analytics in E-commerce.
Chapter 13, to describe Customer Analytics in E-commerce research findings and conclusion.
Please Note - This is an on demand report and will be delivered in 2 business days (48 Hours) post payment.
1 麻豆原创 Overview
1.1 Product Overview and Scope of Customer Analytics in E-commerce
1.2 麻豆原创 Estimation Caveats and Base Year
1.3 Classification of Customer Analytics in E-commerce by Type
1.3.1 Overview: Global Customer Analytics in E-commerce 麻豆原创 Size by Type: 2019 Versus 2023 Versus 2030
1.3.2 Global Customer Analytics in E-commerce Consumption Value 麻豆原创 Share by Type in 2023
1.3.3 On Premise
1.3.4 Cloud
1.4 Global Customer Analytics in E-commerce 麻豆原创 by Application
1.4.1 Overview: Global Customer Analytics in E-commerce 麻豆原创 Size by Application: 2019 Versus 2023 Versus 2030
1.4.2 SME
1.4.3 Large Enterprise
1.5 Global Customer Analytics in E-commerce 麻豆原创 Size & Forecast
1.6 Global Customer Analytics in E-commerce 麻豆原创 Size and Forecast by Region
1.6.1 Global Customer Analytics in E-commerce 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
1.6.2 Global Customer Analytics in E-commerce 麻豆原创 Size by Region, (2019-2030)
1.6.3 North America Customer Analytics in E-commerce 麻豆原创 Size and Prospect (2019-2030)
1.6.4 Europe Customer Analytics in E-commerce 麻豆原创 Size and Prospect (2019-2030)
1.6.5 Asia-Pacific Customer Analytics in E-commerce 麻豆原创 Size and Prospect (2019-2030)
1.6.6 South America Customer Analytics in E-commerce 麻豆原创 Size and Prospect (2019-2030)
1.6.7 Middle East and Africa Customer Analytics in E-commerce 麻豆原创 Size and Prospect (2019-2030)
2 Company Profiles
2.1 IBM
2.1.1 IBM Details
2.1.2 IBM Major Business
2.1.3 IBM Customer Analytics in E-commerce Product and Solutions
2.1.4 IBM Customer Analytics in E-commerce Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.1.5 IBM Recent Developments and Future Plans
2.2 ADVERITY
2.2.1 ADVERITY Details
2.2.2 ADVERITY Major Business
2.2.3 ADVERITY Customer Analytics in E-commerce Product and Solutions
2.2.4 ADVERITY Customer Analytics in E-commerce Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.2.5 ADVERITY Recent Developments and Future Plans
2.3 Atos
2.3.1 Atos Details
2.3.2 Atos Major Business
2.3.3 Atos Customer Analytics in E-commerce Product and Solutions
2.3.4 Atos Customer Analytics in E-commerce Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.3.5 Atos Recent Developments and Future Plans
2.4 Happiest Minds
2.4.1 Happiest Minds Details
2.4.2 Happiest Minds Major Business
2.4.3 Happiest Minds Customer Analytics in E-commerce Product and Solutions
2.4.4 Happiest Minds Customer Analytics in E-commerce Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.4.5 Happiest Minds Recent Developments and Future Plans
2.5 Looker Data Sciences, Inc.
2.5.1 Looker Data Sciences, Inc. Details
2.5.2 Looker Data Sciences, Inc. Major Business
2.5.3 Looker Data Sciences, Inc. Customer Analytics in E-commerce Product and Solutions
2.5.4 Looker Data Sciences, Inc. Customer Analytics in E-commerce Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.5.5 Looker Data Sciences, Inc. Recent Developments and Future Plans
2.6 Microsoft Corp.
2.6.1 Microsoft Corp. Details
2.6.2 Microsoft Corp. Major Business
2.6.3 Microsoft Corp. Customer Analytics in E-commerce Product and Solutions
2.6.4 Microsoft Corp. Customer Analytics in E-commerce Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.6.5 Microsoft Corp. Recent Developments and Future Plans
2.7 Oracle Corporation
2.7.1 Oracle Corporation Details
2.7.2 Oracle Corporation Major Business
2.7.3 Oracle Corporation Customer Analytics in E-commerce Product and Solutions
2.7.4 Oracle Corporation Customer Analytics in E-commerce Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.7.5 Oracle Corporation Recent Developments and Future Plans
2.8 SavvyCube
2.8.1 SavvyCube Details
2.8.2 SavvyCube Major Business
2.8.3 SavvyCube Customer Analytics in E-commerce Product and Solutions
2.8.4 SavvyCube Customer Analytics in E-commerce Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.8.5 SavvyCube Recent Developments and Future Plans
2.9 Wigzo
2.9.1 Wigzo Details
2.9.2 Wigzo Major Business
2.9.3 Wigzo Customer Analytics in E-commerce Product and Solutions
2.9.4 Wigzo Customer Analytics in E-commerce Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.9.5 Wigzo Recent Developments and Future Plans
2.10 Woopra, Inc.
2.10.1 Woopra, Inc. Details
2.10.2 Woopra, Inc. Major Business
2.10.3 Woopra, Inc. Customer Analytics in E-commerce Product and Solutions
2.10.4 Woopra, Inc. Customer Analytics in E-commerce Revenue, Gross Margin and 麻豆原创 Share (2019-2024)
2.10.5 Woopra, Inc. Recent Developments and Future Plans
3 麻豆原创 Competition, by Players
3.1 Global Customer Analytics in E-commerce Revenue and Share by Players (2019-2024)
3.2 麻豆原创 Share Analysis (2023)
3.2.1 麻豆原创 Share of Customer Analytics in E-commerce by Company Revenue
3.2.2 Top 3 Customer Analytics in E-commerce Players 麻豆原创 Share in 2023
3.2.3 Top 6 Customer Analytics in E-commerce Players 麻豆原创 Share in 2023
3.3 Customer Analytics in E-commerce 麻豆原创: Overall Company Footprint Analysis
3.3.1 Customer Analytics in E-commerce 麻豆原创: Region Footprint
3.3.2 Customer Analytics in E-commerce 麻豆原创: Company Product Type Footprint
3.3.3 Customer Analytics in E-commerce 麻豆原创: Company Product Application Footprint
3.4 New 麻豆原创 Entrants and Barriers to 麻豆原创 Entry
3.5 Mergers, Acquisition, Agreements, and Collaborations
4 麻豆原创 Size Segment by Type
4.1 Global Customer Analytics in E-commerce Consumption Value and 麻豆原创 Share by Type (2019-2024)
4.2 Global Customer Analytics in E-commerce 麻豆原创 Forecast by Type (2025-2030)
5 麻豆原创 Size Segment by Application
5.1 Global Customer Analytics in E-commerce Consumption Value 麻豆原创 Share by Application (2019-2024)
5.2 Global Customer Analytics in E-commerce 麻豆原创 Forecast by Application (2025-2030)
6 North America
6.1 North America Customer Analytics in E-commerce Consumption Value by Type (2019-2030)
6.2 North America Customer Analytics in E-commerce Consumption Value by Application (2019-2030)
6.3 North America Customer Analytics in E-commerce 麻豆原创 Size by Country
6.3.1 North America Customer Analytics in E-commerce Consumption Value by Country (2019-2030)
6.3.2 United States Customer Analytics in E-commerce 麻豆原创 Size and Forecast (2019-2030)
6.3.3 Canada Customer Analytics in E-commerce 麻豆原创 Size and Forecast (2019-2030)
6.3.4 Mexico Customer Analytics in E-commerce 麻豆原创 Size and Forecast (2019-2030)
7 Europe
7.1 Europe Customer Analytics in E-commerce Consumption Value by Type (2019-2030)
7.2 Europe Customer Analytics in E-commerce Consumption Value by Application (2019-2030)
7.3 Europe Customer Analytics in E-commerce 麻豆原创 Size by Country
7.3.1 Europe Customer Analytics in E-commerce Consumption Value by Country (2019-2030)
7.3.2 Germany Customer Analytics in E-commerce 麻豆原创 Size and Forecast (2019-2030)
7.3.3 France Customer Analytics in E-commerce 麻豆原创 Size and Forecast (2019-2030)
7.3.4 United Kingdom Customer Analytics in E-commerce 麻豆原创 Size and Forecast (2019-2030)
7.3.5 Russia Customer Analytics in E-commerce 麻豆原创 Size and Forecast (2019-2030)
7.3.6 Italy Customer Analytics in E-commerce 麻豆原创 Size and Forecast (2019-2030)
8 Asia-Pacific
8.1 Asia-Pacific Customer Analytics in E-commerce Consumption Value by Type (2019-2030)
8.2 Asia-Pacific Customer Analytics in E-commerce Consumption Value by Application (2019-2030)
8.3 Asia-Pacific Customer Analytics in E-commerce 麻豆原创 Size by Region
8.3.1 Asia-Pacific Customer Analytics in E-commerce Consumption Value by Region (2019-2030)
8.3.2 China Customer Analytics in E-commerce 麻豆原创 Size and Forecast (2019-2030)
8.3.3 Japan Customer Analytics in E-commerce 麻豆原创 Size and Forecast (2019-2030)
8.3.4 South Korea Customer Analytics in E-commerce 麻豆原创 Size and Forecast (2019-2030)
8.3.5 India Customer Analytics in E-commerce 麻豆原创 Size and Forecast (2019-2030)
8.3.6 Southeast Asia Customer Analytics in E-commerce 麻豆原创 Size and Forecast (2019-2030)
8.3.7 Australia Customer Analytics in E-commerce 麻豆原创 Size and Forecast (2019-2030)
9 South America
9.1 South America Customer Analytics in E-commerce Consumption Value by Type (2019-2030)
9.2 South America Customer Analytics in E-commerce Consumption Value by Application (2019-2030)
9.3 South America Customer Analytics in E-commerce 麻豆原创 Size by Country
9.3.1 South America Customer Analytics in E-commerce Consumption Value by Country (2019-2030)
9.3.2 Brazil Customer Analytics in E-commerce 麻豆原创 Size and Forecast (2019-2030)
9.3.3 Argentina Customer Analytics in E-commerce 麻豆原创 Size and Forecast (2019-2030)
10 Middle East & Africa
10.1 Middle East & Africa Customer Analytics in E-commerce Consumption Value by Type (2019-2030)
10.2 Middle East & Africa Customer Analytics in E-commerce Consumption Value by Application (2019-2030)
10.3 Middle East & Africa Customer Analytics in E-commerce 麻豆原创 Size by Country
10.3.1 Middle East & Africa Customer Analytics in E-commerce Consumption Value by Country (2019-2030)
10.3.2 Turkey Customer Analytics in E-commerce 麻豆原创 Size and Forecast (2019-2030)
10.3.3 Saudi Arabia Customer Analytics in E-commerce 麻豆原创 Size and Forecast (2019-2030)
10.3.4 UAE Customer Analytics in E-commerce 麻豆原创 Size and Forecast (2019-2030)
11 麻豆原创 Dynamics
11.1 Customer Analytics in E-commerce 麻豆原创 Drivers
11.2 Customer Analytics in E-commerce 麻豆原创 Restraints
11.3 Customer Analytics in E-commerce Trends Analysis
11.4 Porters Five Forces Analysis
11.4.1 Threat of New Entrants
11.4.2 Bargaining Power of Suppliers
11.4.3 Bargaining Power of Buyers
11.4.4 Threat of Substitutes
11.4.5 Competitive Rivalry
12 Industry Chain Analysis
12.1 Customer Analytics in E-commerce Industry Chain
12.2 Customer Analytics in E-commerce Upstream Analysis
12.3 Customer Analytics in E-commerce Midstream Analysis
12.4 Customer Analytics in E-commerce Downstream Analysis
13 Research Findings and Conclusion
14 Appendix
14.1 Methodology
14.2 Research Process and Data Source
14.3 Disclaimer
IBM
ADVERITY
Atos
Happiest Minds
Looker Data Sciences, Inc.
Microsoft Corp.
Oracle Corporation
SavvyCube
Wigzo
Woopra, Inc.
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*If Applicable.