Recommendation Engine Market Size, Trends, Report 2033

Name: Recommendation Engine Market Size, Share, Growth and Industry Report
Creator: IMARC Group
License: https://www.imarcgroup.com/privacy-policy
Keywords: Recommendation Engine Market, Recommendation Engine Market Report

Recommendation Engine Market Report by Type (Collaborative Filtering, Content-based Filtering, Hybrid Recommendation Systems, and Others), Technology (Context Aware, Geospatial Aware), Deployment Mode (On-premises, Cloud-based), Application (Strategy and Operations Planning, Product Planning and Proactive Asset Management, Personalized Campaigns and Customer Discovery), End User (IT and Telecommunication, BFSI, Retail, Media and Entertainment, Healthcare, and Others), and Region 2025-2033

Report Format: PDF+Excel | Report ID: SR112025A4706

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Market Overview:

The global recommendation engine market size reached USD 6.3 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 72.6 Billion by 2033, exhibiting a growth rate (CAGR) of 29.62% during 2025-2033.

Report Attribute	Key Statistics
Base Year	2024
Forecast Years	2025-2033
Historical Years	2019-2024
Market Size in 2024	USD 6.3 Billion
Market Forecast in 2033	USD 72.6 Billion
Market Growth Rate 2025-2033	29.62%

Recommendation engine refers to a data filtering tool that enables marketers to offer relevant product recommendations to customers in real-time. It is leveraged with data analysis techniques and advanced algorithms, such as machine learning (ML) and artificial intelligence (AI), which can suggest relevant product catalogs to an individual. In addition, it can show products on websites, apps, and emails, based on customer preferences, past browser history, attributes, and situational context. At present, it is widely utilized in business-to-consumer (B2C) e-commerce fields, such as entertainment, mobile apps, and education, which require a personalization strategy.

Recommendation Engine Market Trends:

The coronavirus disease (COVID-19) pandemic and complete lockdowns imposed by governing agencies of numerous countries have encouraged enterprises to shift to online retail platforms. This represents one of the major factors catalyzing the demand for recommendation engines to increase sales and maintain a positive customer relationship. Apart from this, the thriving e-commerce industry on account of the increasing penetration of the Internet, the growing reliance on smartphones, and the emerging social media trend are contributing to the market growth. This can also be attributed to changing consumer spending habits and the rising need for convenience, immediacy, and simplicity during shopping. Moreover, the increasing adoption of the omnichannel approach to sales that focuses on providing a seamless customer experience is driving the market. Furthermore, due to the rapid expansion of businesses globally, there is a rise in the demand for recommendation engines to manage large volumes of data and engage users actively. They are also gaining traction in small and medium-sized enterprises (SMEs) worldwide to enable them to increase overall sales by cross-selling new products to existing customers and maximize average order value.

Key Market Segmentation:

IMARC Group provides an analysis of the key trends in each sub-segment of the global recommendation engine market report, along with forecasts at the global, regional and country level from 2025-2033. Our report has categorized the market based on type, technology, deployment mode, application and end user.

Breakup by Type:

Collaborative Filtering
Content-based Filtering
Hybrid Recommendation Systems
Others

Breakup by Technology:

Context Aware
Geospatial Aware

Breakup by Deployment Mode:

On-premises
Cloud-based

Breakup by Application:

Strategy and Operations Planning
Product Planning and Proactive Asset Management
Personalized Campaigns and Customer Discovery

Breakup by End User:

IT and Telecommunication
BFSI
Retail
Media and Entertainment
Healthcare
Others

Breakup by Region:

North America
- United States
- Canada
Asia-Pacific
- China
- Japan
- India
- South Korea
- Australia
- Indonesia
- Others
Europe
- Germany
- France
- United Kingdom
- Italy
- Spain
- Russia
- Others
Latin America
- Brazil
- Mexico
- Others
Middle East and Africa

Competitive Landscape:

The competitive landscape of the industry has also been examined along with the profiles of the key players being Adobe Inc., Amazon.com Inc., Dynamic Yield (McDonald's), Google LLC (Alphabet Inc.), Hewlett Packard Enterprise Development LP, Intel Corporation, International Business Machines Corporation, Kibo Software Inc., Microsoft Corporation, Oracle Corporation, Recolize GmbH, Salesforce.com Inc. and SAP SE.

Report Coverage:

Report Features	Details
Base Year of the Analysis	2024
Historical Period	2019-2024
Forecast Period	2025-2033
Units	Billion USD
Segment Coverage	Type, Technology, Deployment Mode, Application, End User, Region
Region Covered	Asia Pacific, Europe, North America, Latin America, Middle East and Africa
Countries Covered	United States, Canada, Germany, France, United Kingdom, Italy, Spain, Russia, China, Japan, India, South Korea, Australia, Indonesia, Brazil, Mexico
Companies Covered	Adobe Inc., Amazon.com Inc., Dynamic Yield (McDonald's), Google LLC (Alphabet Inc.), Hewlett Packard Enterprise Development LP, Intel Corporation, International Business Machines Corporation, Kibo Software Inc., Microsoft Corporation, Oracle Corporation, Recolize GmbH, Salesforce.com Inc., SAP SE
Customization Scope	10% Free Customization
Post-Sale Analyst Support	10-12 Weeks
Delivery Format	PDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request)

Key Questions Answered in This Report

The global recommendation engine market was valued at USD 6.3 Billion in 2024.

We expect the global recommendation engine market to exhibit a CAGR of 29.62% during 2025-2033.

The escalating deployment of recommendation engines, as they aid businesses in promoting content on multiple platforms, delivering customized and relevant content, offering a consistent brand experience, etc., is primarily driving the global recommendation engine market.

The sudden outbreak of the COVID-19 pandemic has led to the growing adoption of recommendation engines to increase sales and maintain a positive customer relationship, owing to their changing consumer inclination towards online retail platforms for the purchase of various products and services.

Based on the type, the global recommendation engine market can be segmented into collaborative filtering, content-based filtering, hybrid recommendation systems, and others. Currently, collaborative filtering holds the majority of the total market share.

Based on the technology, the global recommendation engine market has been divided into context aware and geospatial aware, where context aware currently exhibits a clear dominance in the market.

Based on the deployment mode, the global recommendation engine market can be categorized into on-premises and cloud-based. Currently, cloud-based accounts for the majority of the global market share.

Based on the application, the global recommendation engine market has been segregated into strategy and operations planning, product planning and proactive asset management, and personalized campaigns and customer discovery. Among these, personalized campaigns and customer discovery currently holds the largest market share.

Based on the end user, the global recommendation engine market can be bifurcated into IT and telecommunication, BFSI, retail, media and entertainment, healthcare, and others. Currently, IT and telecommunication exhibits a clear dominance in the market.

On a regional level, the market has been classified into North America, Asia-Pacific, Europe, Latin America, and Middle East and Africa, where North America currently dominates the global market.

Some of the major players in the global recommendation engine market include Adobe Inc., Amazon.com Inc., Dynamic Yield (McDonald's), Google LLC (Alphabet Inc.), Hewlett Packard Enterprise Development LP, Intel Corporation, International Business Machines Corporation, Kibo Software Inc., Microsoft Corporation, Oracle Corporation, Recolize GmbH, Salesforce.com Inc., and SAP SE.

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Recommendation Engine Market

Market Overview:

Recommendation Engine Market Trends:

Key Market Segmentation:

Competitive Landscape:

Report Coverage:

Key Questions Answered in This Report

1. How big is the global recommendation engine market?

2. What is the expected growth rate of the global recommendation engine market during 2025-2033?

3. What are the key factors driving the global recommendation engine market?

4. What has been the impact of COVID-19 on the global recommendation engine market?

5. What is the breakup of the global recommendation engine market based on the type?

6. What is the breakup of the global recommendation engine market based on the technology?

7. What is the breakup of the global recommendation engine market based on the deployment mode?

8. What is the breakup of the global recommendation engine market based on the application?

9. What is the breakup of the global recommendation engine market based on the end user?

10. What are the key regions in the global recommendation engine market?

11. Who are the key players/companies in the global recommendation engine market?