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Report Overview

The global recommendation engine market size reached nearly USD 4.34 Billion in 2025. The market is projected to grow at a CAGR of 15.50% between 2026 and 2035 to reach a value of around USD 18.34 Billion by 2035.

2025

Base Year

2019-2025

Historical Period

2026-2035

Forecast Period

Compound Annual Growth Rate

15.5%

Value in USD Billion

2026-2035


*this image is indicative*

Key Trends in the Market

A recommendation engine refers to a technology which offers recommendations based on the behaviour patterns and preferences of consumers. This type of system uses statistical modelling and predictive analysis to provide a personalised experience to end users.

  • The increasing popularity of OTT platforms, the growing demand for high-quality content across entertainment websites, and the increasing availability of linguistically diverse content are propelling the recommendation engine market growth.
  • Technological advancements in the BFSI sector are heightening the usage of recommendation algorithms and personalised banking systems to enhance customer satisfaction. Moreover, the rising demand for personalised services in various end-use sectors, including healthcare, BFSI, and retail, among others, is driving the market.
  • One of the key recommendation engine market trends is the increasing adoption of consumer devices such as smartphones, tablets, and laptops, among others. Furthermore, in the forecast period, the expansion of the e-commerce sector is expected to drive the deployment of recommendation engines to track consumer behaviour and improve their experiences.

Market Segmentation

The EMR’s report titled “Recommendation Engine Market Report and Forecast 2026-2035” offers a detailed analysis of the market based on the following segments:

Market Breakup by Type

  • Collaborative Filtering
  • Content-Based Filtering
  • Hybrid Recommendation Systems
  • Others

Market Breakup by Deployment Type

  • Cloud Based
  • On-premises

Market Breakup by Technology

  • Context Aware
  • Geospatial Aware

Market Breakup by Application

  • Strategy and Operations Planning
  • Product Planning and Proactive Asset Management
  • Personalised Campaigns and Customer Discovery

Market Breakup by End Use

  • IT and Telecommunication
  • BFSI
  • Retail
  • Media and Entertainment
  • Healthcare
  • Others

Market Breakup by Region

  • North America
  • Europe
  • Asia Pacific
  • Latin America
  • Middle East and Africa

Market Share by Application

Personalised campaigns and customer discovery account for a significant portion of the recommendation engine market share. Personalised campaigns and customer discovery curate specific content and videos for the target audience, improving the user experience. This also leads to a higher subscription rate across websites and content delivery platforms. Furthermore, increasing investments by various end users towards personalising their product and service recommendations in order to enhance their scalability and profitability are fuelling the segment’s growth.

Market Share by End Use

According to the recommendation engine market analysis, the retail sector is likely to represent a substantial market share in the forecast period. There is a heightening adoption of recommendation engines by retailers to better analyse their customers’ interests and preferences and cultivate customer loyalty.

Rapid digitalisation in the retail sector, along with a swift transition from traditional to technologically advanced retailing strategies, is expected to further garner the segment’s growth in the forecast period.

Competitive Landscape

The comprehensive EMR report provides an in-depth assessment of the market based on the Porter's five forces model along with giving a SWOT analysis. The report gives a detailed analysis of the key players in the global recommendation engine market, covering their competitive landscape and latest developments like mergers, acquisitions, investments and expansion plans.

Netflix, Inc

Netflix, Inc is a company which offers high-quality streaming services. This company provides content of diverse genres, including anime, docu-dramas, and movies, among others. It was founded in 1997 and is headquartered in California, the United States.

Amazon Web Services, Inc.

Amazon Web Services, Inc. is a leading company which offers technological solutions, including cloud-based recommendation systems. The company also offers APIs to several end-use sectors as well as individuals. It was established in 2006 and is headquartered in Washington, the United States.

Tinder

Tinder is an online dating company which also offers geosocial networking applications. The services provided by this company are based on personalised user recommendations. The company was founded in 2012 and is headquartered in California, the United States.

*Please note that this is only a partial list; the complete list of key players is available in the full report. Additionally, the list of key players can be customized to better suit your needs.*

Other players considered in the recommendation engine market report include Google LLC, SAP SE, Adobe Inc., Microsoft Corporation, Salesforce Inc., Oracle Corporation, Nosto Solutions Oy, and Dynamic Yield, among others.

*While we strive to always give you current and accurate information, the numbers depicted on the website are indicative and may differ from the actual numbers in the main report. At Expert Market Research, we aim to bring you the latest insights and trends in the market. Using our analyses and forecasts, stakeholders can understand the market dynamics, navigate challenges, and capitalize on opportunities to make data-driven strategic decisions.*

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Key Questions Answered in the Report

The market reached a value of nearly USD 4.34 Billion in 2025.

The market is estimated to grow at a CAGR of 15.50% in between 2026 and 2035.

The market is estimated to witness a healthy growth in the forecast period of 2026-2035 to reach a value of around USD 18.34 Billion by 2035.

The increasing popularity of OTT platforms, rising smartphone ownership, and growing expansion of the e-commerce sector are the major drivers of the market.

The key trends driving the recommendation engine market demand include the digitisation of the retail sector and technological advancements in the BFSI sector to provide more personalised banking services to clients.

Collaborative filtering, content-based filtering, and hybrid recommendation systems, among others, are the different types of recommendation engines.

Cloud based and on-premises are the major deployment types of recommendation engine.

Netflix, Inc, Amazon Web Services, Inc., Tinder, Google LLC, SAP SE, Adobe Inc., Microsoft Corporation, Salesforce Inc., Oracle Corporation, Nosto Solutions Oy, and Dynamic Yield, among others, are the key market players.

Report Summary

Explore our key highlights of the report and gain a concise overview of key findings, trends, and actionable insights that will empower your strategic decisions.

Key Highlights of the Report

Please note that the figures mentioned in the description serve as estimates and may vary from the actual figures presented in the final report.

REPORT FEATURES DETAILS
Base Year 2025
Historical Period 2019-2025
Forecast Period 2026-2035
Scope of the Report

Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment:

  • Type
  • Deployment Type
  • Technology
  • Application
  • End Use
  • Region
Breakup by Type
  • Collaborative Filtering
  • Content-Based Filtering
  • Hybrid Recommendation Systems
  • Others
Breakup by Deployment Type
  • Cloud Based
  • On-premises
Breakup by Technology
  • Context Aware
  • Geospatial Aware
Breakup by Application
  • Strategy and Operations Planning
  • Product Planning and Proactive Asset Management
  • Personalised Campaigns and Customer Discovery
Breakup by End Use
  • IT and Telecommunication
  • BFSI
  • Retail
  • Media and Entertainment
  • Healthcare
  • Others
Breakup by Region
  • North America
    • United States of America 
    • Canada
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Others
  • Asia Pacific
    • China
    • Japan
    • India
    • ASEAN
    • Australia
    • Others
  • Latin America
    • Brazil
    • Argentina
    • Mexico
    • Others
  • Middle East and Africa
    • Saudi Arabia
    • United Arab Emirates
    • Nigeria
    • South Africa
    • Others
Market Dynamics
  • SWOT Analysis
  • Porter's Five Forces Analysis
  • Key Indicators for Demand
  • Key Indicators for Price
Competitive Landscape
  • Market Structure
  • Company Profiles
    • Company Overview
    • Product Portfolio
    • Demographic Reach and Achievements
    • Certifications
Companies Covered
  • Netflix, Inc
  • Amazon Web Services, Inc.
  • Tinder
  • Google LLC
  • SAP SE
  • Adobe Inc.
  • Microsoft Corporation
  • Salesforce Inc.
  • Oracle Corporation
  • Nosto Solutions Oy
  • Dynamic Yield
  • Others

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