The Recommendation Engine Market was valued at $1.2 billion in 2020 with a CAGR of over 34% over the forecast period (2021-2027). As the amount of information over the Internet increases and the number of users increases significantly, it is essential for businesses to search, map, and present relevant information based on preferences and tastes. It is expected that the demand for the recommendation engine market will increase as the demand for customer retention by deploying AI-powered recommendation engines increases and the revenue and return on investment (RoI) increase. Along with the rise of the e-commerce market, advances in digitization in emerging economies have led to an increase in demand for recommendation engines. Integrating machine learning models across AI-powered cloud platforms is driving automation across multiple end-user industrial terminals.
A full report of Recommendation Engine Market available at: https://www.orionmarketreports.com/recommendation-engine-market/48946/
The prominent players in the Recommendation Engine Market are Amazon Web Services (US), Boomtrain (US), Certona (US), Curata (US), Cxense (Norway), Dynamic Yield (US), IBM (US), Kibo Commerce (US), Outbrain (US), Revcontent (US), Taboola (US), and ThinkAnalytics (UK).
Recommendation Engine Market- Segmentation
By Type:
• Collaborative filtering
• Content-based filtering
• Hybrid recommendation
By Deployment Mode:
• Cloud
• On-premises
By Technology:
• Context aware
• Geospatial aware
By Application:
• Personalized campaigns and customer discovery
• Product planning
• Strategy and operations planning
• Proactive asset management
By End-user:
• Manufacturing
• Healthcare
• BFSI
• Media and entertainment
• Transportation
• Others (telecom, energy and utilities, manufacturing, and education)
Recent Developments
o Market Overview and growth analysis
o Import and Export Overview
o Volume Analysis
o Current Market Trends and Future Outlook
o Market Opportunistic and Attractive Investment Segment
Key Questions Answered by Recommendation Engine Market Report
• What was the Recommendation Engine Market in 2020 and 2021; what are the estimated growth trends and market forecast (2021-2027).
• What will be the CAGR of Recommendation Engine Market during the forecast period (2021-2027)?
• Which segments (product type/applications/end-user) were most attractive for investments in 2018? How are these segments are expected to grow during the forecast period (2021-2027)?
• Which manufacturer/vendor/players in the Recommendation Engine Market was the market leader in 2018?
• Overview on the existing product portfolio, products in the pipeline, and strategic initiatives taken by key vendors in the market.
(This release has been published on OMR Industry Journal. OMR Industry Journal is not responsible for any content included in this release.)
