Recommendation Engine Market Outlook 2020 by Technology Development, Research Study, Growth Factors, Statistics, Forecasting 2026 | BASF SE, Dairen Chemical Corporation, INVISTA, Mitsubishi Chemical Holdings Corporation

The Global Recommendation Engine Market is forecast to reach USD 16.13 Billion by 2026, according to a new report by Reports and Data. Content recommendation engine is a tool to generate meaningful recommendations to particular users about products or items they might be intrigued in. Content recommendation engine works on the search keywords practiced by the user, which help in explaining the items the user is viewing for, as well as on the user profile, which later helps in symbolizing the type of items or products the user prefers. In order to create an immersive user profile, the recommendation engine focuses on the history of the user’s interactions with the recommendation engine. Recommending news articles on the basis of browsing of news is useful. However, what is desirable is when music, videos, and products from different services are also recommended to the user based on their browsing history.

The report focuses on the important geographies of sale of the Recommendation Engine (SFC) such as North America, Europe and Asia-Pacific, South America, Middle East and Africa. The entire Recommendation Engine (SFC) market has been categorized into three segments in this report, namely- manufacturers, regions, type and application.        

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The report includes the latest coverage of the impact of COVID-19 on the Recommendation Engine industry. The incidence has affected nearly every aspect of the business domain. This study evaluates the current scenario and predicts future outcomes of the pandemic on the global economy.

Companies considered and profiled in this market study:

BASF SE, Dairen Chemical Corporation, INVISTA, Mitsubishi Chemical Holdings Corporation, LyondellBasell Industries N.V., Saudi International Petrochemical Company, Penn A Kem LLC, Ashland Global Specialty Chemicals Inc., Nova Molecular Technologies, and BioAmber Inc. 

For the purpose of this report, Reports and Data has segmented the Recommendation Engine market on the basis of type, source, animal, application, and region:    

Process Type (Revenue in USD Million; Volume in Tons, 2016–2026)

Acetylene-based Process
Butadiene-based Process
Maleic Anhydride-based Process
Propylene-Based Process via Allyl Alcohol
Propylene Oxide-based Process

Application (Revenue in USD Million; Volume in Tons, 2016–2026)

Polytetramethylene Ether Glycol (PTMEG)
Solvent applications
Other Applications

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End-Use (Revenue in USD Million; Volume in Tons, 2016–2026)

Polymer
PVC
Pharmaceutical
Sealants & Adhesives
Others

Regional Outlook (Revenue in USD Million; 2016–2026)

North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia and Italy)
Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
South America (Brazil, Argentina, Colombia)

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Objectives of the study:

Our panel of expert analysts specializing in the value chain has conducted an exhaustive, industry-wide study to offer readers accurate insights into the future of the Recommendation Engine market and give key market players authentic information derived via both primary and secondary sources of data collection. Additionally, the report also comprises of inputs from our consultants, which can help companies make the most of the available market opportunities. It also offers a detailed breakdown of the sales of Recommendation Engine and the factors that could potentially influence the growth of the industry. The information provided in this report will be able to help readers capitalize on the available growth prospects.

Further key findings from the report suggest:

-Cloud segment is set to experience the highest CAGR of 39.9% during the forecast period. The cloud-based solutions offer comprehensive and agile solutions to end-users in the recommendation engine market.

-Content-based filtering held a market share of 28.9% in the year 2018. In content-based recommendation system, keywords are utilized to describe the items. However, a user profile is built to declare the type of item this user likes. The algorithms try to recommend products which are related to the ones that a user has chosen in the past.

-The media and entertainment segment from among the end-users is set to experience the highest CAGR of 40.9% during the forecast period. They are utilizing recommendation engines powered by AI to acquire benefits, such as customer retention and increased revenue generation.

-Asia Pacific is forecasted to experience the highest CAGR of 40.6% during the forecast period. This region is expected to hold a lucrative market for content recommendation engine through the forecast period due to the rapid digitization pursuits in the region.

The insights that are offered by this report of the Recommendation Engine market are:

– Detailed Overview of Global Recommendation Engine market helps deliver clients and businesses making strategies.

– Influential factors driving demand and constraints in the market.

– What is market concentration? Is it fragmented or highly concentrated?

– What trends, challenges, and barriers will impact the development and sizing of the Recommendation Engine market?

– SWOT Analysis of each key players mentioned along with its company profile with the help of Porter’s five forces tool mechanism to compliment the same.

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This release was published on openPR.