Latest Update: Impact of current COVID-19 situation has been considered in this report while making the analysis.
Global Ecommerce Personalization Software Market by Type (Cloud, SaaS, Web, Mobile-Android Native, Mobile-iOS Native, Other), By Application (Large Enterprise, SMBs, Other) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030-report

Global Ecommerce Personalization Software Market by Type (Cloud, SaaS, Web, Mobile-Android Native, Mobile-iOS Native, Other), By Application (Large Enterprise, SMBs, Other) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030

Report ID: 239938 4200 Service & Software 377 212 Pages 4.5 (34)
                                          

Market Overview:


The global ecommerce personalization software market is expected to grow at a CAGR of 16.5% during the forecast period from 2018 to 2030. The growth in this market can be attributed to the increasing demand for personalized shopping experiences and the rising adoption of cloud-based solutions. By type, the cloud-based segment is expected to lead the market during the forecast period, owing to its advantages such as scalability and flexibility. By application, large enterprises are expected to lead the market during the forecast period, owing to their need for advanced personalization tools that can handle high volumes of data.


Global Ecommerce Personalization Software Industry Outlook


Product Definition:


Ecommerce personalization software is used to create a more personalized shopping experience for customers on ecommerce websites. The software uses customer data (such as purchase history and browsing behavior) to recommend products, provide customized recommendations, and present targeted content. The goal of ecommerce personalization is to make the shopping experience more relevant and engaging for customers, which can lead to increased sales and loyalty.


Cloud, SaaS, Web:


Cloud, SaaS, Web and it's usage in Ecommerce Personalization Software market. The global Ecommerce industry is expected to reach USD 3 trillion by 2020 from USD 1.5 trillion in 2015 owing to the increasing internet penetration coupled with rising consumer preference for online shopping over traditional retailing.


Mobile-Android Native:


The mobile-android native is a cross-platform software development kit that allows developers to develop applications for Android and iOS using C/C++ and Java. The primary benefits of this technology include reduced time to market, faster application development process, cost efficiency, increased productivity etc.


In the Ecommerce Personalization Software market; it has been used in various applications such as online store front end (Magento), customer relationship management (WooCommerce).


Application Insights:


The large enterprise segment accounted for the largest market share in 2017 and is expected to continue its dominance over the forecast period. The large enterprises are adopting ecommerce personalization software based on their requirements as they offer a flexible approach to delivering personalized content on various devices, including desktops, laptops, tablets and smartphones. This helps them improve customer engagement while increasing product sales.


Large enterprises can benefit from this technology by leveraging user data collected from multiple sources (e.g., transaction data) for improving product recommendations and marketing activities across all channels (including physical stores). In addition, these solutions help reduce cart abandonment rates by providing customized content based on past browsing behavior of customers which encourages them to continue shopping.


Regional Analysis:


North America dominated the global market in 2017. The growth of ecommerce and online retail sales in North America is attributed to the presence of a large number of players such as Amazon, Inc.; eBay Inc.; and Walmart. These companies are investing heavily in technology to enhance their product offerings and customer experience. For instance, in May 2018, Walmart Labs launched a new personalized recommendation engine for its mobile app that uses data about customers’ past shopping history on the site along with their current location to recommend products nearby based on store inventory levels and customer demand. This helps shoppers find items faster while minimizing search results; thereby increasing conversion rates for retailers (Walmart).


Asia Pacific is expected to be one of the fastest-growing regional markets over the forecast period owing to growing internet penetration coupled with increased spending by consumers on ecommerce sites across countries such as China, Japan, South Korea & India among others (APAC).


Growth Factors:


  • Increasing demand for customer personalization: A study by Boston Consulting Group reveals that nearly half of the customers are likely to switch brands if they do not receive personalized experiences. This is because customers today expect a more tailored experience, which ecommerce personalization software can provide.
  • Proliferation of digital channels: With the increasing number of digital channels such as social media, mobile commerce, and chatbots, businesses need to adopt ecommerce personalization software to provide a consistent customer experience across all channels.
  • Rise in cross-border ecommerce: The global cross-border ecommerce market is expected to grow at a CAGR of 20% from 2018 to 2024. This presents opportunities for businesses that want to expand their reach and offer localized experiences to their customers worldwide through ecommerce personalization software .

Scope Of The Report

Report Attributes

Report Details

Report Title

Ecommerce Personalization Software Market Research Report

By Type

Cloud, SaaS, Web, Mobile-Android Native, Mobile-iOS Native, Other

By Application

Large Enterprise, SMBs, Other

By Companies

RichRelevance, OptinMonster, Nosto Solutions Oy, Evergage,Inc, Cxense, Optimizely, Segmentify, Episerver Inc, Monetate Inc, Socital, Algolia, PushCrew, EMARSYS, iZooto, Yusp(Gravity R&D), Omniconvert, GeoFli, AB Tasty, Intellimize, Personyze

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

212

Number of Tables & Figures

149

Customization Available

Yes, the report can be customized as per your need.


Global Ecommerce Personalization Software Market Report Segments:

The global Ecommerce Personalization Software market is segmented on the basis of:

Types

Cloud, SaaS, Web, Mobile-Android Native, Mobile-iOS Native, 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

Large Enterprise, SMBs, Other

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:

  1. RichRelevance
  2. OptinMonster
  3. Nosto Solutions Oy
  4. Evergage,Inc
  5. Cxense
  6. Optimizely
  7. Segmentify
  8. Episerver Inc
  9. Monetate Inc
  10. Socital
  11. Algolia
  12. PushCrew
  13. EMARSYS
  14. iZooto
  15. Yusp(Gravity R&D)
  16. Omniconvert
  17. GeoFli
  18. AB Tasty
  19. Intellimize
  20. Personyze

Global Ecommerce Personalization Software Market Overview


Highlights of The Ecommerce Personalization Software Market Report:

  1. The market structure and projections for the coming years.
  2. Drivers, restraints, opportunities, and current trends of market.
  3. Historical data and forecast.
  4. Estimations for the forecast period 2030.
  5. Developments and trends in the market.
  6. By Type:

    1. Cloud, SaaS, Web
    2. Mobile-Android Native
    3. Mobile-iOS Native
    4. Other
  1. By Application:

    1. Large Enterprise
    2. SMBs
    3. Other
  1. Market scenario by region, sub-region, and country.
  2. Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
  3. Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
  4. Government Policies, Macro & Micro economic factors are also included in the report.

We have studied the Ecommerce Personalization Software 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

Global Ecommerce Personalization Software Market Statistics

8 Reasons to Buy This Report

  1. Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
  2. Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
  3. Implemented Robust Methodology to Prepare the Report
  4. Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
  5. Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
  6. Provides Information About the Top-winning Strategies Implemented by Industry Players.
  7. In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
  8. Customization of the Report Available

Frequently Asked Questions?


Ecommerce personalization software is a tool that helps online retailers customize the shopping experience for their customers. This includes things like adding products to customer Wish Lists, suggesting similar items they may be interested in, and providing personalized recommendations based on past purchases.

Some of the key players operating in the ecommerce personalization software market are RichRelevance, OptinMonster, Nosto Solutions Oy, Evergage,Inc, Cxense, Optimizely, Segmentify, Episerver Inc, Monetate Inc, Socital, Algolia, PushCrew, EMARSYS, iZooto, Yusp(Gravity R&D), Omniconvert, GeoFli, AB Tasty, Intellimize, Personyze.

The ecommerce personalization software market is expected to grow at a compound annual growth rate of 16.5%.

                                            
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Ecommerce Personalization Software 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 Ecommerce Personalization Software Market Dynamics       4.2.1 Market Drivers       4.2.2 Market Restraints       4.2.3 Market Opportunity    4.3 Ecommerce Personalization Software 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 Ecommerce Personalization Software 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 Ecommerce Personalization Software Market Size & Forecast, 2018-2028       4.5.1 Ecommerce Personalization Software Market Size and Y-o-Y Growth       4.5.2 Ecommerce Personalization Software Market Absolute $ Opportunity

Chapter 5 Global Ecommerce Personalization Software 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 Ecommerce Personalization Software Market Size Forecast by Type
      5.2.1 Cloud
      5.2.2  SaaS
      5.2.3  Web
      5.2.4 Mobile-Android Native
      5.2.5 Mobile-iOS Native
      5.2.6 Other
   5.3 Market Attractiveness Analysis by Type

Chapter 6 Global Ecommerce Personalization Software 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 Ecommerce Personalization Software Market Size Forecast by Applications
      6.2.1 Large Enterprise
      6.2.2 SMBs
      6.2.3 Other
   6.3 Market Attractiveness Analysis by Applications

Chapter 7 Global Ecommerce Personalization Software 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 Ecommerce Personalization Software 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 Ecommerce Personalization Software Analysis and Forecast
   9.1 Introduction
   9.2 North America Ecommerce Personalization Software 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 Ecommerce Personalization Software Market Size Forecast by Type
      9.6.1 Cloud
      9.6.2  SaaS
      9.6.3  Web
      9.6.4 Mobile-Android Native
      9.6.5 Mobile-iOS Native
      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 Ecommerce Personalization Software Market Size Forecast by Applications
      9.10.1 Large Enterprise
      9.10.2 SMBs
      9.10.3 Other
   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 Ecommerce Personalization Software Analysis and Forecast
   10.1 Introduction
   10.2 Europe Ecommerce Personalization Software 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 Ecommerce Personalization Software Market Size Forecast by Type
      10.6.1 Cloud
      10.6.2  SaaS
      10.6.3  Web
      10.6.4 Mobile-Android Native
      10.6.5 Mobile-iOS Native
      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 Ecommerce Personalization Software Market Size Forecast by Applications
      10.10.1 Large Enterprise
      10.10.2 SMBs
      10.10.3 Other
   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 Ecommerce Personalization Software Analysis and Forecast
   11.1 Introduction
   11.2 Asia Pacific Ecommerce Personalization Software 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 Ecommerce Personalization Software Market Size Forecast by Type
      11.6.1 Cloud
      11.6.2  SaaS
      11.6.3  Web
      11.6.4 Mobile-Android Native
      11.6.5 Mobile-iOS Native
      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 Ecommerce Personalization Software Market Size Forecast by Applications
      11.10.1 Large Enterprise
      11.10.2 SMBs
      11.10.3 Other
   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 Ecommerce Personalization Software Analysis and Forecast
   12.1 Introduction
   12.2 Latin America Ecommerce Personalization Software 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 Ecommerce Personalization Software Market Size Forecast by Type
      12.6.1 Cloud
      12.6.2  SaaS
      12.6.3  Web
      12.6.4 Mobile-Android Native
      12.6.5 Mobile-iOS Native
      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 Ecommerce Personalization Software Market Size Forecast by Applications
      12.10.1 Large Enterprise
      12.10.2 SMBs
      12.10.3 Other
   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) Ecommerce Personalization Software Analysis and Forecast
   13.1 Introduction
   13.2 Middle East & Africa (MEA) Ecommerce Personalization Software 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) Ecommerce Personalization Software Market Size Forecast by Type
      13.6.1 Cloud
      13.6.2  SaaS
      13.6.3  Web
      13.6.4 Mobile-Android Native
      13.6.5 Mobile-iOS Native
      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) Ecommerce Personalization Software Market Size Forecast by Applications
      13.10.1 Large Enterprise
      13.10.2 SMBs
      13.10.3 Other
   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 Ecommerce Personalization Software Market: Competitive Dashboard
   14.2 Global Ecommerce Personalization Software Market: Market Share Analysis, 2019
   14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy) 
      14.3.1 RichRelevance
      14.3.2 OptinMonster
      14.3.3 Nosto Solutions Oy
      14.3.4 Evergage,Inc
      14.3.5 Cxense
      14.3.6 Optimizely
      14.3.7 Segmentify
      14.3.8 Episerver Inc
      14.3.9 Monetate Inc
      14.3.10 Socital
      14.3.11 Algolia
      14.3.12 PushCrew
      14.3.13 EMARSYS
      14.3.14 iZooto
      14.3.15 Yusp(Gravity R&D)
      14.3.16 Omniconvert
      14.3.17 GeoFli
      14.3.18 AB Tasty
      14.3.19 Intellimize
      14.3.20 Personyze

Our Trusted Clients

Contact Us