Global Recommendation Engine Market

Global recommendation engine market by deployment mode (on-premise, cloud), by type (collaborative filtering, content-based filtering, hybrid recommendation system, others), by end user (telecommunication, financial, retail, media, medical, others), by region (North America, Europe, Asia-Pacific, MEA (Middle East and Africa), Latin America), outlook & forecast, 2022-2028

Report Code: GT03632R Industry: Region:
Description

The global recommendation engine market is expected to increase by USD 21.5 billion, at a compound annual growth rate (CAGR) of 33.2% from 2022 to 2028, according to the latest edition of the Global Recommendation Engine Market Report.

The report covers market size and growth, segmentation, regional breakdowns, competitive landscape, trends and strategies for global recommendation engine market. It traces the market’s historic and forecast market growth. The report identifies top segments for opportunities and strategies based on market trends and leading competitors’ approaches. This study also provides an analysis of the impact of the COVID-19 crisis on the recommendation engine industry.

This industry report offers market estimates and forecasts of the global market, followed by a detailed analysis of the deployment mode, type, end user, and region. The global market for recommendation engine can be segmented by deployment mode: on-premise, cloud. The cloud segment held the largest share of the global recommendation engine market in 2021 and is anticipated to hold its share during the forecast period. Recommendation engine market is further segmented by type: collaborative filtering, content-based filtering, hybrid recommendation system, others. Globally, the hybrid recommendation system segment made up the largest share of the recommendation engine market. Based on end user, the recommendation engine market is segmented into: telecommunication, financial, retail, media, medical, others. The retail segment was the largest contributor to the global recommendation engine market in 2021. On the basis of region, the recommendation engine market also can be divided into: North America, Europe, Asia-Pacific, MEA (Middle East and Africa), Latin America. Asia-Pacific is estimated to account for the largest share of the global recommendation engine market.

Market Segmentation
By deployment mode: on-premise, cloud
By type: collaborative filtering, content-based filtering, hybrid recommendation system, others
By end user: telecommunication, financial, retail, media, medical, others
By region: North America, Europe, Asia-Pacific, MEA (Middle East and Africa), Latin America

The report also provides a detailed analysis of several leading recommendation engine market vendors that include Adobe Inc., Alphabet Inc., Amazon Web Services Inc., Hewlett Packard Enterprise Co., IBM Corporation, Intel Corporation, Kibo Software, Inc., Microsoft Corporation, Netflix Inc., Oracle Corporation, Salesforce.com Inc., SAP SE, among others.
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Historical & Forecast Period
This research report provides analysis for each segment from 2018 to 2028 considering 2021 to be the base year.

Scope of the Report
– To analyze and forecast the market size of the global recommendation engine market.
– To classify and forecast the global recommendation engine market based on deployment mode, type, end user, region.
– To identify drivers and challenges for the global recommendation engine market.
– To examine competitive developments such as mergers & acquisitions, agreements, collaborations and partnerships, etc., in the global recommendation engine market.
– To identify and analyze the profile of leading players operating in the global recommendation engine market.

Why Choose This Report
– Gain a reliable outlook of the global recommendation engine market forecasts from 2022 to 2028 across scenarios.
– Identify growth segments for investment.
– Stay ahead of competitors through company profiles and market data.
– The market estimate for ease of analysis across scenarios in Excel format.
– Strategy consulting and research support for three months.
– Print authentication provided for the single-user license.

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Code: GT03632R Industry: Region:

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Global Recommendation Engine Market

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