Industry Growth Insights published a new data on “E-Commerce Personalization Platform Market”. The research report is titled “E-Commerce Personalization Platform Market research by Types (Apparel & Footwear, Groceries & Food, Home & Furniture, Electronics & Jewelry, Beauty & Personal Care, Other), By Applications (SMEs, Large Enterprises), By Players/Companies SearchSpring, SLI Systems, Nosto, Apptus, Oracle, SAP, Bluecore, Prediggo, Clerk.io, Klevu, Lucidworks, ChapsVision (Octipas), Paraspar, Algolia, Reflektion”.
Scope Of The Report
Report Attributes
Report Details
Report Title
E-Commerce Personalization Platform Market Research Report
By Type
Apparel & Footwear, Groceries & Food, Home & Furniture, Electronics & Jewelry, Beauty & Personal Care, Other
By Application
SMEs, Large Enterprises
By Companies
SearchSpring, SLI Systems, Nosto, Apptus, Oracle, SAP, Bluecore, Prediggo, Clerk.io, Klevu, Lucidworks, ChapsVision (Octipas), Paraspar, Algolia, Reflektion
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
219
Number of Tables & Figures
154
Customization Available
Yes, the report can be customized as per your need.
Global E-Commerce Personalization Platform Market Report Segments:
The global E-Commerce Personalization Platform market is segmented on the basis of:
Types
Apparel & Footwear, Groceries & Food, Home & Furniture, Electronics & Jewelry, Beauty & Personal Care, Other
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
SMEs, Large Enterprises
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- SearchSpring
- SLI Systems
- Nosto
- Apptus
- Oracle
- SAP
- Bluecore
- Prediggo
- Clerk.io
- Klevu
- Lucidworks
- ChapsVision (Octipas)
- Paraspar
- Algolia
- Reflektion
Highlights of The E-Commerce Personalization Platform Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Apparel & Footwear
- Groceries & Food
- Home & Furniture
- Electronics & Jewelry
- Beauty & Personal Care
- Other
- By Application:
- SMEs
- Large Enterprises
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the E-Commerce Personalization Platform Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
- Market Entry Strategies
- Business Expansion Strategies
- Consumer Insights
- Understanding Competition Scenario
- Product & Brand Management
- Channel & Customer Management
- Identifying Appropriate Advertising Appeals
8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
E-Commerce Personalization Platform is a web application that helps online retailers personalize the shopping experience for their customers. It allows retailers to create custom product pages, add personalized content, and track customer engagement data.
Some of the major companies in the e-commerce personalization platform market are SearchSpring, SLI Systems, Nosto, Apptus, Oracle, SAP, Bluecore, Prediggo, Clerk.io, Klevu, Lucidworks, ChapsVision (Octipas), Paraspar, Algolia, Reflektion.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 E-Commerce Personalization Platform Market Overview 4.1 Introduction 4.1.1 Market Taxonomy 4.1.2 Market Definition 4.1.3 Macro-Economic Factors Impacting the Market Growth 4.2 E-Commerce Personalization Platform Market Dynamics 4.2.1 Market Drivers 4.2.2 Market Restraints 4.2.3 Market Opportunity 4.3 E-Commerce Personalization Platform Market - Supply Chain Analysis 4.3.1 List of Key Suppliers 4.3.2 List of Key Distributors 4.3.3 List of Key Consumers 4.4 Key Forces Shaping the E-Commerce Personalization Platform Market 4.4.1 Bargaining Power of Suppliers 4.4.2 Bargaining Power of Buyers 4.4.3 Threat of Substitution 4.4.4 Threat of New Entrants 4.4.5 Competitive Rivalry 4.5 Global E-Commerce Personalization Platform Market Size & Forecast, 2018-2028 4.5.1 E-Commerce Personalization Platform Market Size and Y-o-Y Growth 4.5.2 E-Commerce Personalization Platform Market Absolute $ Opportunity
Chapter 5 Global E-Commerce Personalization Platform Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 E-Commerce Personalization Platform Market Size Forecast by Type
5.2.1 Apparel & Footwear
5.2.2 Groceries & Food
5.2.3 Home & Furniture
5.2.4 Electronics & Jewelry
5.2.5 Beauty & Personal Care
5.2.6 Other
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global E-Commerce Personalization Platform Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 E-Commerce Personalization Platform Market Size Forecast by Applications
6.2.1 SMEs
6.2.2 Large Enterprises
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global E-Commerce Personalization Platform Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 E-Commerce Personalization Platform Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America E-Commerce Personalization Platform Analysis and Forecast
9.1 Introduction
9.2 North America E-Commerce Personalization Platform Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America E-Commerce Personalization Platform Market Size Forecast by Type
9.6.1 Apparel & Footwear
9.6.2 Groceries & Food
9.6.3 Home & Furniture
9.6.4 Electronics & Jewelry
9.6.5 Beauty & Personal Care
9.6.6 Other
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America E-Commerce Personalization Platform Market Size Forecast by Applications
9.10.1 SMEs
9.10.2 Large Enterprises
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe E-Commerce Personalization Platform Analysis and Forecast
10.1 Introduction
10.2 Europe E-Commerce Personalization Platform Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe E-Commerce Personalization Platform Market Size Forecast by Type
10.6.1 Apparel & Footwear
10.6.2 Groceries & Food
10.6.3 Home & Furniture
10.6.4 Electronics & Jewelry
10.6.5 Beauty & Personal Care
10.6.6 Other
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe E-Commerce Personalization Platform Market Size Forecast by Applications
10.10.1 SMEs
10.10.2 Large Enterprises
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific E-Commerce Personalization Platform Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific E-Commerce Personalization Platform Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific E-Commerce Personalization Platform Market Size Forecast by Type
11.6.1 Apparel & Footwear
11.6.2 Groceries & Food
11.6.3 Home & Furniture
11.6.4 Electronics & Jewelry
11.6.5 Beauty & Personal Care
11.6.6 Other
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific E-Commerce Personalization Platform Market Size Forecast by Applications
11.10.1 SMEs
11.10.2 Large Enterprises
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America E-Commerce Personalization Platform Analysis and Forecast
12.1 Introduction
12.2 Latin America E-Commerce Personalization Platform Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America E-Commerce Personalization Platform Market Size Forecast by Type
12.6.1 Apparel & Footwear
12.6.2 Groceries & Food
12.6.3 Home & Furniture
12.6.4 Electronics & Jewelry
12.6.5 Beauty & Personal Care
12.6.6 Other
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America E-Commerce Personalization Platform Market Size Forecast by Applications
12.10.1 SMEs
12.10.2 Large Enterprises
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) E-Commerce Personalization Platform Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) E-Commerce Personalization Platform Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) E-Commerce Personalization Platform Market Size Forecast by Type
13.6.1 Apparel & Footwear
13.6.2 Groceries & Food
13.6.3 Home & Furniture
13.6.4 Electronics & Jewelry
13.6.5 Beauty & Personal Care
13.6.6 Other
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) E-Commerce Personalization Platform Market Size Forecast by Applications
13.10.1 SMEs
13.10.2 Large Enterprises
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 E-Commerce Personalization Platform Market: Competitive Dashboard
14.2 Global E-Commerce Personalization Platform Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 SearchSpring
14.3.2 SLI Systems
14.3.3 Nosto
14.3.4 Apptus
14.3.5 Oracle
14.3.6 SAP
14.3.7 Bluecore
14.3.8 Prediggo
14.3.9 Clerk.io
14.3.10 Klevu
14.3.11 Lucidworks
14.3.12 ChapsVision (Octipas)
14.3.13 Paraspar
14.3.14 Algolia
14.3.15 Reflektion