In Recommendation Engine Market North America is expected to be the largest revenue-generating region

HTF MI recently introduced Global Recommendation Engine Market study with in-depth overview, describing about the Product / Industry Scope and elaborates market outlook and status to 2023. The market Study is segmented by key regions which is accelerating the marketization. At present, the market is developing its presence and some of the key players from the complete study are IBM, Google, AWS, Microsoft, Salesforce, Sentient Technologies, HPE, Oracle, Intel & SAP etc.

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A recommendation engine, also known as a recommender system, is software that analyzes available data to make suggestions for something that a website user might be interested in, such as a book, a video or a job, among other possibilities.

North America is expected to be the largest revenue-generating region, as there is a high focus on innovations in the US and Canada. These countries have the most competitive and rapidly changing market across the globe. APAC is expected to be the fastest-growing region in the market. Moreover, APAC is expected to be the highly potential market due to rise in the eCommerce market and enormous growth of data across all end-users.

In 2017, the global Recommendation Engine market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of xx% during 2018-2025.

This report studies the Global Recommendation Engine market size, industry status and forecast, competition landscape and growth opportunity. This research report categorizes the Global Recommendation Engine market by companies, region, type and end-use industry.

Browse 100+ market data Tables and Figures spread through Pages and in-depth TOC on " Recommendation Engine Market by Type (Collaborative filtering, Content-based filtering & Hybrid recommendation), by End-Users/Application (Manufacturing, Healthcare, BFSI, Media and entertainment, Transportation & Others), Organization Size, Industry, and Region - Forecast to 2023". Early buyers will receive 10% customization on comprehensive study.

In order to get a deeper view of Market Size, competitive landscape is provided i.e. Revenue (Million USD) by Players (2013-2018), Revenue Market Share (%) by Players (2013-2018) and further a qualitative analysis is made towards market concentration rate, product/service differences, new entrants and the technological trends in future.

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Competitive Analysis:
The key players are highly focusing innovation in production technologies to improve efficiency and shelf life. The best long-term growth opportunities for this sector can be captured by ensuring ongoing process improvements and financial flexibility to invest in the optimal strategies. Company profile section of players such as IBM, Google, AWS, Microsoft, Salesforce, Sentient Technologies, HPE, Oracle, Intel & SAP includes its basic information like legal name, website, headquarters, its market position, historical background and top 5 closest competitors by Market capitalization / revenue along with contact information. Each player/ manufacturer revenue figures, growth rate and gross profit margin is provided in easy to understand tabular format for past 5 years and a separate section on recent development like mergers, acquisition or any new product/service launch etc.

Market Segments:
The Global Recommendation Engine Market has been divided into type, application, and region.
On The Basis Of Type: Collaborative filtering, Content-based filtering & Hybrid recommendation.
On The Basis Of Application: Manufacturing, Healthcare, BFSI, Media and entertainment, Transportation & Others
On The Basis Of Region, this report is segmented into following key geographies, with production, consumption, revenue (million USD), and market share, growth rate of Recommendation Engine in these regions, from 2013 to 2023 (forecast), covering
• North America (U.S. & Canada) {Market Revenue (USD Billion), Growth Analysis (%) and Opportunity Analysis}
• Latin America (Brazil, Mexico & Rest of Latin America) {Market Revenue (USD Billion), Growth Share (%) and Opportunity Analysis}
• Europe (The U.K., Germany, France, Italy, Spain, Poland, Sweden & RoE) {Market Revenue (USD Billion), Growth Share (%) and Opportunity Analysis}
• Asia-Pacific (China, India, Japan, Singapore, South Korea, Australia, New Zealand, Rest of Asia) {Market Revenue (USD Billion), Growth Share (%) and Opportunity Analysis}
• Middle East & Africa (GCC, South Africa, North Africa, RoMEA) {Market Revenue (USD Billion), Growth Share (%) and Opportunity Analysis}
• Rest of World {Market Revenue (USD Billion), Growth Analysis (%) and Opportunity Analysis}

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Have a look at some extracts from Table of Content

Introduction about Global Recommendation Engine

Global Recommendation Engine Market Size (Sales) Market Share by Type (Product Category) in 2017
Recommendation Engine Market by Application/End Users
Global Recommendation Engine Sales (Volume) and Market Share Comparison by Applications
(2013-2023) table defined for each application/end-users like [Manufacturing, Healthcare, BFSI, Media and entertainment, Transportation & Others]
Global Recommendation Engine Sales and Growth Rate (2013-2023)
Recommendation Engine Competition by Players/Suppliers, Region, Type and Application
Recommendation Engine (Volume, Value and Sales Price) table defined for each geographic region defined.
Global Recommendation Engine Players/Suppliers Profiles and Sales Data

Additionally Company Basic Information, Manufacturing Base and Competitors list is being provided for each listed manufacturers

Market Sales, Revenue, Price and Gross Margin (2013-2018) table for each product type which include Collaborative filtering, Content-based filtering & Hybrid recommendation
Recommendation Engine Manufacturing Cost Analysis
Recommendation Engine Key Raw Materials Analysis
Recommendation Engine Chain, Sourcing Strategy and Downstream Buyers, Industrial Chain Analysis
Market Forecast (2018-2023)
........and more in complete table of Contents

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Thanks for reading this article; you can also get individual chapter wise section or region wise report version like North America, Europe or Asia.

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