The global recommendation engine market size is expected to reach USD 33.23 billion by 2030, registering a CAGR of 36.3% from 2024 to 2030, according to a new report by Grand View Research, Inc. The growing adoption of digital technologies among organizations is one of the key factors driving the market. In addition, the rising competition among organizations and the need to provide a better customer experience are increasing the demand for recommendation systems.
The COVID-19 pandemic compelled governments across various countries to take immediate actions and impose partial or full lockdowns. This impacted various industries in numerous ways. Social distancing rules and traveling restrictions shifted people away from physical shops for buying essentials to the digital medium, which resulted in the increased demand for online shopping platforms. Hence, the pandemic created a lucrative opportunity for the market.
A recommendation engine, a type of data filtering tool, uses Machine Learning (ML)-based processes to suggest relevant and specific items to customers. It typically comprises two types of systems, namely a personalized recommendation system and a non-personalized recommendation system. The tool gathers consumer behavior data to find patterns in it, based on which it offers numerous recommendations to users.
The market has also benefitted from the growth in digitization trends across numerous industries, especially retail, e-commerce, and media and entertainment. For instance, according to a survey by Episerver, approximately 44% of the U.S. population shops using Amazon.com, Inc.’s recommendations.
Recommendation engine system providers are investing in research & development activities to introduce innovations in the market and offer a better experience to users. Additionally, the growing competition is driving innovations in the market.
Request a free sample copy or view report summary: Recommendation Engine Market Report
Collaborative filtering held the dominant market share in 2023 owing to the increasing demand for personalized user experiences across various industries.
The cloud segment dominated the market with 87.7% in 2023. Cloud-based recommendation engines allow businesses to scale their operations seamlessly, accommodating growing data volumes and user bases without significant infrastructure investments.
Large enterprises held the largest market share in 2023 owing to the growing need to make better decisions, efficiently manage their business portfolio, and gain a competitive edge in the global market.
The personalized campaigns and customer delivery segment accounted for the largest revenue share of 42.0% in 2023.
The retail segment dominated the market with 25.0% share in 2023. The market surge can be attributed to the rapid digital transformation within the retail industry that has led to an increased adoption of recommendation engines to enhance customer experience and engagement.
Grand View Research has segmented global recommendation engine market report based on, type, deployment, organization, application, end-use and region:
Recommendation Engine Type Outlook (Revenue, USD Million, 2018 - 2030)
Collaborative Filtering
Content Based Filtering
Hybrid Recommendation
Recommendation Engine Deployment Outlook (Revenue, USD Million, 2018 - 2030)
Cloud
On-Premise
Recommendation Engine Organization Outlook (Revenue, USD Million, 2018 - 2030)
SMEs
Large Enterprises
Recommendation Engine Application Outlook (Revenue, USD Million, 2018 - 2030)
Personalized Campaigns and Customer Delivery
Strategy Operations and Planning
Product Planning and Proactive Asset Management
Recommendation Engine End-use Outlook (Revenue, USD Million, 2018 - 2030)
Information Technology
Healthcare
Retail
BFSI
Media & Entertainment
Others
Recommendation Engine Regional Outlook (Revenue, USD Million, 2018 - 2030)
North America
U.S.
Canada
Mexico
Europe
UK
Germany
France
Asia Pacific
China
Japan
India
Australia
South Korea
Latin America
Brazil
Middle East and Africa (MEA)
South Africa
Saudi Arabia
UAE
List of Key Players of Recommendation Engine Market
Adobe
Amazon Web Services, Inc.
Google LLC
Hewlett Packard Enterprise Development LP
International Business Machines Corporation
Intel Corporation
Microsoft Corporation
Oracle
Salesforce, Inc.
SAP SE
"The quality of research they have done for us has been excellent..."