Recommendation Engine Market Overview by Technological Growth, Emerging Trends and Forecast to 2023 | IBM, Google, AWS, Microsoft, Salesforce

This report provides in depth study of “Recommendation Engine Market” using SWOT analysis i.e. Strength, Weakness, Opportunities and Threat to the organization. The Recommendation Engine Market report also provides an in-depth survey of key players in the market organization.

Global Recommendation Engine Market Synopsis:

The Global “Recommendation Engine Market” research 2019 highlights the major details and provides in-depth analysis of the market along with the future growth, prospects and Industry demands analysis explores with the help of complete report with 90 Pages, figures, graphs and table of contents to analyze the situations of global Recommendation Engine Market and Assessment to 2023.

Get Exclusive Sample Study Papers of “Global Recommendation Engine Market” @ https://www.businessindustryreports.com/sample-request/179877 .

This report studies the Global Recommendation Engine Market over the forecast period of 2019 to 2023. The Global Recommendation Engine Market is expected to grow at an impressive Compound Annual Growth Rate (CAGR) from 2019 to 2023.

The report begins from overview of Industry Chain structure, and describes industry environment, then analyses market size and forecast of Recommendation Engine Market by product, region and application, in addition, this report introduces market competition situation among the vendors and company profile, besides, market price analysis and value chain features are covered in this report. The scope of the report includes a detailed study of Recommendation Engine Market with the reasons given for variations in the growth of the industry in certain regions.

The global Recommendation Engine market is bifurcated on the basis of products (Collaborative filtering, Content-based filtering, Hybrid recommendation), application (Manufacturing, Healthcare, BFSI, Media and entertainment, Transportation) and regions. The technologies used are Context aware and Geospatial aware. The regions include North America, Europe, Asia-Pacific, Latin America, and The Middle East and Africa.

Key growth factors

A large volume of customer data generated through smartphones, web, and various touch points requires filtering to create personalized recommendations. Collaborative filtering type used in recommendation engines filter data based on the similarity of user interests. Hence, various end-users have deployed recommendation engine solution based on AI, with collaborative filtering type to categorize the customers with similar interests to deliver personalized recommendations.

The demand for recommendation engine based on AI, is expected to grow across various end-users with the increase in need to understand customer behavior and formulate various customer retention strategies. Specifically, the media and entertainment segment is expected to record the highest growth rate during the forecast period. The market for media and entertainment is expected to grow at a faster rate, owing to the increase in need for deployment of recommendation engine solution either on cloud or on-premises.

Major Players profiled in the Recommendation Engine Market report incorporate: IBM, Google, AWS, Microsoft, Salesforce, Sentient Technologies, HPE, Oracle, Intel, SAP

Latest Industry News

AWS announced Amazon Personalize, which allows you to get your first recommendation engine running quickly, to deliver immediate value to your end user or business. As your understanding increases (or if you are already familiar with data science), you can take advantage of the deep capabilities of Amazon Personalize to improve your recommendations.

The most well-known and successful ML use cases have been retail websites, music streaming apps, and social media platforms. For years, they’ve been embedding ML technologies into the heart of their user experience. They commonly provide each user with an individual personalized recommendation, based on both historic data points and real-time activity.

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Significant points in table of contents: Market Definition, Market Overview, Business Introduction, Segmentation (Region Level), Segmentation (Type Level), Segmentation (Industry Level), Segmentation (Channel Level), Market Forecast Year, Segmentation Type, Segmentation Industry, Market Cost Analysis, and Conclusion.

Report contents include

1 Analysis of the Recommendation Engine Market including revenues, future growth, market outlook

2 Historical data and forecast

3 Regional analysis including growth estimates

4 Analyzes the end user markets including growth estimates.

5 Profiles on Recommendation Engine Market including products, sales/revenues, and market position

6 Market structure, market drivers and restraints.

Table of Content

Section 1 Recommendation Engine Product Definition

Section 2 Global Recommendation Engine Market Manufacturer Share and Market Overview

2.1 Global Manufacturer Recommendation Engine Shipments

2.2 Global Manufacturer Recommendation Engine Business Revenue

2.3 Global Recommendation Engine Market Overview

Section 3 Manufacturer Recommendation Engine Business Introduction

3.1 IBM Recommendation Engine Business Introduction

3.1.1 IBM Recommendation Engine Shipments, Price, Revenue and Gross profit 2014-2018

3.1.2 IBM Recommendation Engine Business Distribution by Region

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