Global Personalized Recommendation Engines Market Growth (Status and Outlook) 2025-2031

Publication ID:

LPI08255953

Publication Date:

August 8, 2025

Pages:

129

Publisher:

LPI

Countries:

Global [1]

USD 3,660.00

IT Services [2]

Software [3]

Computing & Electronics [4]

Description:

According to this study, the global Personalized Recommendation Engines market size will reach US$ 8411 million by 2031.
Personalized Recommendation Engines are advanced software systems that analyze user data鈥攕uch as browsing history, past purchases, preferences, and behavioral patterns鈥攖o deliver tailored product, content, or service suggestions. Using techniques like collaborative filtering, content-based filtering, and machine learning algorithms, these engines aim to enhance user engagement, improve satisfaction, and drive conversions by presenting highly relevant options to individual users in real-time. Commonly used across e-commerce, streaming services, online advertising, and digital publishing, they play a crucial role in personalizing the user experience and optimizing business outcomes.
The market for Personalized Recommendation Engines is expanding rapidly as businesses across diverse industries seek to enhance user engagement and deliver customized experiences. Driven by rising consumer expectations for relevant content and product suggestions, these engines are increasingly adopted in sectors such as e-commerce, media, finance, healthcare, and travel. Technological advancements, particularly in AI and machine learning, are enabling more precise, real-time, and context-aware recommendations. Hybrid and deep learning-based models are gaining traction, addressing challenges like data sparsity and cold-start problems. While the growth outlook remains strong, companies are also navigating hurdles such as data privacy regulations, integration complexity, and the need for ethical AI practices.
The 鈥淧ersonalized Recommendation Engines Industry Forecast鈥� looks at past sales and reviews total world Personalized Recommendation Engines sales in 2024, providing a comprehensive analysis by region and market sector of projected Personalized Recommendation Engines sales for 2025 through 2031. With Personalized Recommendation Engines sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Personalized Recommendation Engines industry.
This Insight Report provides a comprehensive analysis of the global Personalized Recommendation Engines landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on Personalized Recommendation Engines portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms鈥� unique position in an accelerating global Personalized Recommendation Engines market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Personalized Recommendation Engines and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Personalized Recommendation Engines.
This report presents a comprehensive overview, market shares, and growth opportunities of Personalized Recommendation Engines market by product type, application, key players and key regions and countries.
Segmentation by Type:
Collaborative Filtering
Content-Based Filtering
Hybrid Systems
Segmentation by Application:
E-commerce & Retail
Media & Entertainment
Online Advertising
Others
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
AWS
Google
Microsoft
IBM
Salesforce
Adobe
Oracle
SAP
Alibaba
Dynamic Yield
Algolia
Bloomreach
Optimizely
Twilio
Coveo
Nosto

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

Table Of Contents:

1 Scope of the Report
1.1 Market Introduction
1.2 Years Considered
1.3 Research Objectives
1.4 Market Research Methodology
1.5 Research Process and Data Source
1.6 Economic Indicators
1.7 Currency Considered
1.8 Market Estimation Caveats
2 Executive Summary
2.1 World Market Overview
2.1.1 Global Personalized Recommendation Engines Market Size (2020-2031)
2.1.2 Personalized Recommendation Engines Market Size CAGR by Region (2020 VS 2024 VS 2031)
2.1.3 World Current & Future Analysis for Personalized Recommendation Engines by Country/Region (2020, 2024 & 2031)
2.2 Personalized Recommendation Engines Segment by Type
2.2.1 Collaborative Filtering
2.2.2 Content-Based Filtering
2.2.3 Hybrid Systems
2.3 Personalized Recommendation Engines Market Size by Type
2.3.1 Personalized Recommendation Engines Market Size CAGR by Type (2020 VS 2024 VS 2031)
2.3.2 Global Personalized Recommendation Engines Market Size Market Share by Type (2020-2025)
2.4 Personalized Recommendation Engines Segment by Application
2.4.1 E-commerce & Retail
2.4.2 Media & Entertainment
2.4.3 Online Advertising
2.4.4 Others
2.5 Personalized Recommendation Engines Market Size by Application
2.5.1 Personalized Recommendation Engines Market Size CAGR by Application (2020 VS 2024 VS 2031)
2.5.2 Global Personalized Recommendation Engines Market Size Market Share by Application (2020-2025)
3 Personalized Recommendation Engines Market Size by Player
3.1 Personalized Recommendation Engines Market Size Market Share by Player
3.1.1 Global Personalized Recommendation Engines Revenue by Player (2020-2025)
3.1.2 Global Personalized Recommendation Engines Revenue Market Share by Player (2020-2025)
3.2 Global Personalized Recommendation Engines Key Players Head office and Products Offered
3.3 Market Concentration Rate Analysis
3.3.1 Competition Landscape Analysis
3.3.2 Concentration Ratio (CR3, CR5 and CR10) & (2023-2025)
3.4 New Products and Potential Entrants
3.5 Mergers & Acquisitions, Expansion
4 Personalized Recommendation Engines by Region
4.1 Personalized Recommendation Engines Market Size by Region (2020-2025)
4.2 Global Personalized Recommendation Engines Annual Revenue by Country/Region (2020-2025)
4.3 Americas Personalized Recommendation Engines Market Size Growth (2020-2025)
4.4 APAC Personalized Recommendation Engines Market Size Growth (2020-2025)
4.5 Europe Personalized Recommendation Engines Market Size Growth (2020-2025)
4.6 Middle East & Africa Personalized Recommendation Engines Market Size Growth (2020-2025)
5 Americas
5.1 Americas Personalized Recommendation Engines Market Size by Country (2020-2025)
5.2 Americas Personalized Recommendation Engines Market Size by Type (2020-2025)
5.3 Americas Personalized Recommendation Engines Market Size by Application (2020-2025)
5.4 United States
5.5 Canada
5.6 Mexico
5.7 Brazil
6 APAC
6.1 APAC Personalized Recommendation Engines Market Size by Region (2020-2025)
6.2 APAC Personalized Recommendation Engines Market Size by Type (2020-2025)
6.3 APAC Personalized Recommendation Engines Market Size by Application (2020-2025)
6.4 China
6.5 Japan
6.6 South Korea
6.7 Southeast Asia
6.8 India
6.9 Australia
7 Europe
7.1 Europe Personalized Recommendation Engines Market Size by Country (2020-2025)
7.2 Europe Personalized Recommendation Engines Market Size by Type (2020-2025)
7.3 Europe Personalized Recommendation Engines Market Size by Application (2020-2025)
7.4 Germany
7.5 France
7.6 UK
7.7 Italy
7.8 Russia
8 Middle East & Africa
8.1 Middle East & Africa Personalized Recommendation Engines by Region (2020-2025)
8.2 Middle East & Africa Personalized Recommendation Engines Market Size by Type (2020-2025)
8.3 Middle East & Africa Personalized Recommendation Engines Market Size by Application (2020-2025)
8.4 Egypt
8.5 South Africa
8.6 Israel
8.7 Turkey
8.8 GCC Countries
9 Market Drivers, Challenges and Trends
9.1 Market Drivers & Growth Opportunities
9.2 Market Challenges & Risks
9.3 Industry Trends
10 Global Personalized Recommendation Engines Market Forecast
10.1 Global Personalized Recommendation Engines Forecast by Region (2026-2031)
10.1.1 Global Personalized Recommendation Engines Forecast by Region (2026-2031)
10.1.2 Americas Personalized Recommendation Engines Forecast
10.1.3 APAC Personalized Recommendation Engines Forecast
10.1.4 Europe Personalized Recommendation Engines Forecast
10.1.5 Middle East & Africa Personalized Recommendation Engines Forecast
10.2 Americas Personalized Recommendation Engines Forecast by Country (2026-2031)
10.2.1 United States Market Personalized Recommendation Engines Forecast
10.2.2 Canada Market Personalized Recommendation Engines Forecast
10.2.3 Mexico Market Personalized Recommendation Engines Forecast
10.2.4 Brazil Market Personalized Recommendation Engines Forecast
10.3 APAC Personalized Recommendation Engines Forecast by Region (2026-2031)
10.3.1 China Personalized Recommendation Engines Market Forecast
10.3.2 Japan Market Personalized Recommendation Engines Forecast
10.3.3 Korea Market Personalized Recommendation Engines Forecast
10.3.4 Southeast Asia Market Personalized Recommendation Engines Forecast
10.3.5 India Market Personalized Recommendation Engines Forecast
10.3.6 Australia Market Personalized Recommendation Engines Forecast
10.4 Europe Personalized Recommendation Engines Forecast by Country (2026-2031)
10.4.1 Germany Market Personalized Recommendation Engines Forecast
10.4.2 France Market Personalized Recommendation Engines Forecast
10.4.3 UK Market Personalized Recommendation Engines Forecast
10.4.4 Italy Market Personalized Recommendation Engines Forecast
10.4.5 Russia Market Personalized Recommendation Engines Forecast
10.5 Middle East & Africa Personalized Recommendation Engines Forecast by Region (2026-2031)
10.5.1 Egypt Market Personalized Recommendation Engines Forecast
10.5.2 South Africa Market Personalized Recommendation Engines Forecast
10.5.3 Israel Market Personalized Recommendation Engines Forecast
10.5.4 Turkey Market Personalized Recommendation Engines Forecast
10.6 Global Personalized Recommendation Engines Forecast by Type (2026-2031)
10.7 Global Personalized Recommendation Engines Forecast by Application (2026-2031)
10.7.1 GCC Countries Market Personalized Recommendation Engines Forecast
11 Key Players Analysis
11.1 AWS
11.1.1 AWS Company Information
11.1.2 AWS Personalized Recommendation Engines Product Offered
11.1.3 AWS Personalized Recommendation Engines Revenue, Gross Margin and Market Share (2020-2025)
11.1.4 AWS Main Business Overview
11.1.5 AWS Latest Developments
11.2 Google
11.2.1 Google Company Information
11.2.2 Google Personalized Recommendation Engines Product Offered
11.2.3 Google Personalized Recommendation Engines Revenue, Gross Margin and Market Share (2020-2025)
11.2.4 Google Main Business Overview
11.2.5 Google Latest Developments
11.3 Microsoft
11.3.1 Microsoft Company Information
11.3.2 Microsoft Personalized Recommendation Engines Product Offered
11.3.3 Microsoft Personalized Recommendation Engines Revenue, Gross Margin and Market Share (2020-2025)
11.3.4 Microsoft Main Business Overview
11.3.5 Microsoft Latest Developments
11.4 IBM
11.4.1 IBM Company Information
11.4.2 IBM Personalized Recommendation Engines Product Offered
11.4.3 IBM Personalized Recommendation Engines Revenue, Gross Margin and Market Share (2020-2025)
11.4.4 IBM Main Business Overview
11.4.5 IBM Latest Developments
11.5 Salesforce
11.5.1 Salesforce Company Information
11.5.2 Salesforce Personalized Recommendation Engines Product Offered
11.5.3 Salesforce Personalized Recommendation Engines Revenue, Gross Margin and Market Share (2020-2025)
11.5.4 Salesforce Main Business Overview
11.5.5 Salesforce Latest Developments
11.6 Adobe
11.6.1 Adobe Company Information
11.6.2 Adobe Personalized Recommendation Engines Product Offered
11.6.3 Adobe Personalized Recommendation Engines Revenue, Gross Margin and Market Share (2020-2025)
11.6.4 Adobe Main Business Overview
11.6.5 Adobe Latest Developments
11.7 Oracle
11.7.1 Oracle Company Information
11.7.2 Oracle Personalized Recommendation Engines Product Offered
11.7.3 Oracle Personalized Recommendation Engines Revenue, Gross Margin and Market Share (2020-2025)
11.7.4 Oracle Main Business Overview
11.7.5 Oracle Latest Developments
11.8 SAP
11.8.1 SAP Company Information
11.8.2 SAP Personalized Recommendation Engines Product Offered
11.8.3 SAP Personalized Recommendation Engines Revenue, Gross Margin and Market Share (2020-2025)
11.8.4 SAP Main Business Overview
11.8.5 SAP Latest Developments
11.9 Alibaba
11.9.1 Alibaba Company Information
11.9.2 Alibaba Personalized Recommendation Engines Product Offered
11.9.3 Alibaba Personalized Recommendation Engines Revenue, Gross Margin and Market Share (2020-2025)
11.9.4 Alibaba Main Business Overview
11.9.5 Alibaba Latest Developments
11.10 Dynamic Yield
11.10.1 Dynamic Yield Company Information
11.10.2 Dynamic Yield Personalized Recommendation Engines Product Offered
11.10.3 Dynamic Yield Personalized Recommendation Engines Revenue, Gross Margin and Market Share (2020-2025)
11.10.4 Dynamic Yield Main Business Overview
11.10.5 Dynamic Yield Latest Developments
11.11 Algolia
11.11.1 Algolia Company Information
11.11.2 Algolia Personalized Recommendation Engines Product Offered
11.11.3 Algolia Personalized Recommendation Engines Revenue, Gross Margin and Market Share (2020-2025)
11.11.4 Algolia Main Business Overview
11.11.5 Algolia Latest Developments
11.12 Bloomreach
11.12.1 Bloomreach Company Information
11.12.2 Bloomreach Personalized Recommendation Engines Product Offered
11.12.3 Bloomreach Personalized Recommendation Engines Revenue, Gross Margin and Market Share (2020-2025)
11.12.4 Bloomreach Main Business Overview
11.12.5 Bloomreach Latest Developments
11.13 Optimizely
11.13.1 Optimizely Company Information
11.13.2 Optimizely Personalized Recommendation Engines Product Offered
11.13.3 Optimizely Personalized Recommendation Engines Revenue, Gross Margin and Market Share (2020-2025)
11.13.4 Optimizely Main Business Overview
11.13.5 Optimizely Latest Developments
11.14 Twilio
11.14.1 Twilio Company Information
11.14.2 Twilio Personalized Recommendation Engines Product Offered
11.14.3 Twilio Personalized Recommendation Engines Revenue, Gross Margin and Market Share (2020-2025)
11.14.4 Twilio Main Business Overview
11.14.5 Twilio Latest Developments
11.15 Coveo
11.15.1 Coveo Company Information
11.15.2 Coveo Personalized Recommendation Engines Product Offered
11.15.3 Coveo Personalized Recommendation Engines Revenue, Gross Margin and Market Share (2020-2025)
11.15.4 Coveo Main Business Overview
11.15.5 Coveo Latest Developments
11.16 Nosto
11.16.1 Nosto Company Information
11.16.2 Nosto Personalized Recommendation Engines Product Offered
11.16.3 Nosto Personalized Recommendation Engines Revenue, Gross Margin and Market Share (2020-2025)
11.16.4 Nosto Main Business Overview
11.16.5 Nosto Latest Developments
12 Research Findings and Conclusion

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