Customer Analytics in E-commerce - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB510245187

Publication Date:

October 25, 2024

Pages:

106

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

IT Services [2]

Computing & Electronics [3]

Description:

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.
The global market for Customer Analytics in E-commerce was estimated to be worth US$ million in 2023 and is forecast to a readjusted size of US$ million by 2030 with a CAGR of % during the forecast period 2024-2030.
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 $1.8 trillion. According to the National Bureau of Statistics, China was the largest online retail market in 2022, with online retail sales of 13.79 trillion yuan and a year-on-year increase of 4%. Among them, the online retail sales of physical goods were 11.96 trillion yuan, with a year-on-year increase of 6.2%, which accounted for 27.2% of the total retail sales of consumer goods.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Customer Analytics in E-commerce, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Customer Analytics in E-commerce by region & country, by Type, and by Application.
The Customer Analytics in E-commerce market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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 Customer Analytics in E-commerce.
Market Segmentation
By Company
IBM
ADVERITY
Atos
Happiest Minds
Looker Data Sciences, Inc.
Microsoft Corp.
Oracle Corporation
SavvyCube
Wigzo
Woopra, Inc.
Segment by Type:
On Premise
Cloud
Segment by Application
SME
Large Enterprise
By Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Customer Analytics in E-commerce manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: 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 4: 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 5: Revenue of Customer Analytics in E-commerce in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Customer Analytics in E-commerce in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Market Overview
1.1 Customer Analytics in E-commerce Product Introduction
1.2 Global Customer Analytics in E-commerce Market Size Forecast
1.3 Customer Analytics in E-commerce Market Trends & Drivers
1.3.1 Customer Analytics in E-commerce Industry Trends
1.3.2 Customer Analytics in E-commerce Market Drivers & Opportunity
1.3.3 Customer Analytics in E-commerce Market Challenges
1.3.4 Customer Analytics in E-commerce Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Customer Analytics in E-commerce Players Revenue Ranking (2023)
2.2 Global Customer Analytics in E-commerce Revenue by Company (2019-2024)
2.3 Key Companies Customer Analytics in E-commerce Manufacturing Base Distribution and Headquarters
2.4 Key Companies Customer Analytics in E-commerce Product Offered
2.5 Key Companies Time to Begin Mass Production of Customer Analytics in E-commerce
2.6 Customer Analytics in E-commerce Market Competitive Analysis
2.6.1 Customer Analytics in E-commerce Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Customer Analytics in E-commerce Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Customer Analytics in E-commerce as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 On Premise
3.1.2 Cloud
3.2 Global Customer Analytics in E-commerce Sales Value by Type
3.2.1 Global Customer Analytics in E-commerce Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Customer Analytics in E-commerce Sales Value, by Type (2019-2030)
3.2.3 Global Customer Analytics in E-commerce Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 SME
4.1.2 Large Enterprise
4.2 Global Customer Analytics in E-commerce Sales Value by Application
4.2.1 Global Customer Analytics in E-commerce Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Customer Analytics in E-commerce Sales Value, by Application (2019-2030)
4.2.3 Global Customer Analytics in E-commerce Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Customer Analytics in E-commerce Sales Value by Region
5.1.1 Global Customer Analytics in E-commerce Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Customer Analytics in E-commerce Sales Value by Region (2019-2024)
5.1.3 Global Customer Analytics in E-commerce Sales Value by Region (2025-2030)
5.1.4 Global Customer Analytics in E-commerce Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Customer Analytics in E-commerce Sales Value, 2019-2030
5.2.2 North America Customer Analytics in E-commerce Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Customer Analytics in E-commerce Sales Value, 2019-2030
5.3.2 Europe Customer Analytics in E-commerce Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Customer Analytics in E-commerce Sales Value, 2019-2030
5.4.2 Asia Pacific Customer Analytics in E-commerce Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Customer Analytics in E-commerce Sales Value, 2019-2030
5.5.2 South America Customer Analytics in E-commerce Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Customer Analytics in E-commerce Sales Value, 2019-2030
5.6.2 Middle East & Africa Customer Analytics in E-commerce Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Customer Analytics in E-commerce Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Customer Analytics in E-commerce Sales Value
6.3 United States
6.3.1 United States Customer Analytics in E-commerce Sales Value, 2019-2030
6.3.2 United States Customer Analytics in E-commerce Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Customer Analytics in E-commerce Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Customer Analytics in E-commerce Sales Value, 2019-2030
6.4.2 Europe Customer Analytics in E-commerce Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Customer Analytics in E-commerce Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Customer Analytics in E-commerce Sales Value, 2019-2030
6.5.2 China Customer Analytics in E-commerce Sales Value by Type (%), 2023 VS 2030
6.5.3 China Customer Analytics in E-commerce Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Customer Analytics in E-commerce Sales Value, 2019-2030
6.6.2 Japan Customer Analytics in E-commerce Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Customer Analytics in E-commerce Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Customer Analytics in E-commerce Sales Value, 2019-2030
6.7.2 South Korea Customer Analytics in E-commerce Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Customer Analytics in E-commerce Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Customer Analytics in E-commerce Sales Value, 2019-2030
6.8.2 Southeast Asia Customer Analytics in E-commerce Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Customer Analytics in E-commerce Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Customer Analytics in E-commerce Sales Value, 2019-2030
6.9.2 India Customer Analytics in E-commerce Sales Value by Type (%), 2023 VS 2030
6.9.3 India Customer Analytics in E-commerce Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 IBM
7.1.1 IBM Profile
7.1.2 IBM Main Business
7.1.3 IBM Customer Analytics in E-commerce Products, Services and Solutions
7.1.4 IBM Customer Analytics in E-commerce Revenue (US$ Million) & (2019-2024)
7.1.5 IBM Recent Developments
7.2 ADVERITY
7.2.1 ADVERITY Profile
7.2.2 ADVERITY Main Business
7.2.3 ADVERITY Customer Analytics in E-commerce Products, Services and Solutions
7.2.4 ADVERITY Customer Analytics in E-commerce Revenue (US$ Million) & (2019-2024)
7.2.5 ADVERITY Recent Developments
7.3 Atos
7.3.1 Atos Profile
7.3.2 Atos Main Business
7.3.3 Atos Customer Analytics in E-commerce Products, Services and Solutions
7.3.4 Atos Customer Analytics in E-commerce Revenue (US$ Million) & (2019-2024)
7.3.5 Happiest Minds Recent Developments
7.4 Happiest Minds
7.4.1 Happiest Minds Profile
7.4.2 Happiest Minds Main Business
7.4.3 Happiest Minds Customer Analytics in E-commerce Products, Services and Solutions
7.4.4 Happiest Minds Customer Analytics in E-commerce Revenue (US$ Million) & (2019-2024)
7.4.5 Happiest Minds Recent Developments
7.5 Looker Data Sciences, Inc.
7.5.1 Looker Data Sciences, Inc. Profile
7.5.2 Looker Data Sciences, Inc. Main Business
7.5.3 Looker Data Sciences, Inc. Customer Analytics in E-commerce Products, Services and Solutions
7.5.4 Looker Data Sciences, Inc. Customer Analytics in E-commerce Revenue (US$ Million) & (2019-2024)
7.5.5 Looker Data Sciences, Inc. Recent Developments
7.6 Microsoft Corp.
7.6.1 Microsoft Corp. Profile
7.6.2 Microsoft Corp. Main Business
7.6.3 Microsoft Corp. Customer Analytics in E-commerce Products, Services and Solutions
7.6.4 Microsoft Corp. Customer Analytics in E-commerce Revenue (US$ Million) & (2019-2024)
7.6.5 Microsoft Corp. Recent Developments
7.7 Oracle Corporation
7.7.1 Oracle Corporation Profile
7.7.2 Oracle Corporation Main Business
7.7.3 Oracle Corporation Customer Analytics in E-commerce Products, Services and Solutions
7.7.4 Oracle Corporation Customer Analytics in E-commerce Revenue (US$ Million) & (2019-2024)
7.7.5 Oracle Corporation Recent Developments
7.8 SavvyCube
7.8.1 SavvyCube Profile
7.8.2 SavvyCube Main Business
7.8.3 SavvyCube Customer Analytics in E-commerce Products, Services and Solutions
7.8.4 SavvyCube Customer Analytics in E-commerce Revenue (US$ Million) & (2019-2024)
7.8.5 SavvyCube Recent Developments
7.9 Wigzo
7.9.1 Wigzo Profile
7.9.2 Wigzo Main Business
7.9.3 Wigzo Customer Analytics in E-commerce Products, Services and Solutions
7.9.4 Wigzo Customer Analytics in E-commerce Revenue (US$ Million) & (2019-2024)
7.9.5 Wigzo Recent Developments
7.10 Woopra, Inc.
7.10.1 Woopra, Inc. Profile
7.10.2 Woopra, Inc. Main Business
7.10.3 Woopra, Inc. Customer Analytics in E-commerce Products, Services and Solutions
7.10.4 Woopra, Inc. Customer Analytics in E-commerce Revenue (US$ Million) & (2019-2024)
7.10.5 Woopra, Inc. Recent Developments
8 Industry Chain Analysis
8.1 Customer Analytics in E-commerce Industrial Chain
8.2 Customer Analytics in E-commerce Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Customer Analytics in E-commerce Sales Model
8.5.2 Sales Channel
8.5.3 Customer Analytics in E-commerce Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer

Companies Mentioned:

IBM
ADVERITY
Atos
Happiest Minds
Looker Data Sciences, Inc.
Microsoft Corp.
Oracle Corporation
SavvyCube
Wigzo
Woopra, Inc.

License Types:

Single User License (PDF)

This license allows for use of a publication by one person.
This person may print out a single copy of the publication.
This person can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
This person cannot share the publication (or any information contained therein) with any other person or persons.
Unless a Enterprise License is purchased, a Single User License must be purchased for every person that wishes to use the publication within the same organization.
Customers who infringe these license terms are liable for a Global license fee.

听

Site License (PDF)*

This license allows for use of a publication by all users within one corporate location, e.g. a regional office.
These users may print out a single copy of the publication.
These users can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
These users cannot share the publication (or any information contained therein) with any other person or persons outside the corporate location for which the publication is purchased.
Unless a Enterprise License is purchased, a Site User License must be purchased for every corporate location by an organization that wishes to use the publication within the same organization.
Customers who infringe these license terms are liable for a Global license fee.

听

Global License (PDF)*

This license allows for use of a publication by unlimited users within the purchasing organization e.g. all employees of a single company.
Each of these people may use the publication on any computer, and may print out the report, but may not share the publication (or any information contained therein) with any other person or persons outside of the organization.
These employees of purchasing organization can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.

*If Applicable.

91制片厂