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New Research: Recommendation Engine Market Exibit to Grow at CAGR of+40% by 2025- Key Futuristic Trends, Standardization, Competitive Analysis, Technology aspects, future outlook, And Key Players

Recommendation Engine Market by Type (Collaborative Filtering, Content-Based Filtering, and Hybrid Recommendation), Deployment Mode (Cloud and On-Premises), Technology, Application, End-User, and Region - Global Forecast to 2025
Published 27 June 2018
The Global Recommendation Engine Market to Grow steadily at a CAGR of +40% during the forecast period. 

The recommendation engine market based on AI, is projected to grow at a significant rate over the next 5 years, due to the need to retain old customers and attract new customers, achieve higher sales and Return on Investment (RoI), and analyze large volumes of customer data to create recommendations. Increase in focus to enhance the customer experience and growth in the digitalization trend are some of the major driving factors for the market. The market size based on AI, is expected to grow from USD 588.9 Million in 2016 to USD 4414.8 Million by 2022, at a Compound Annual Growth Rate (CAGR) of +40% during the forecast period. The base year considered for this study is 2016, and the forecast period considered is from 2018 to 2025.

The objective of the report is to gather important market data and offer insights into the trends and opportunities of the global Recommendation Engine market to its readers. The report categorizes the market in a detailed manner to offer comprehensive insights into the factors responsible for enhancing as well as confining the market growth. The statistical surveying report on the global market also inspects the indicators in the market that are vital to represent the revenue forecast of the market over the given forecast period.

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 Companies Profiled in this report includes, IBM, Google, AWS, Microsoft, Salesforce, entient Technologies, HPE, Oracle, Intel, SAP, Fuzzy.AI, Infinite Analytics.

Furthermore, to analyze a large volume of data and automate the manual and tedious process of designing recommendations, enterprises need to design and lay out a plan of action. This could be accomplished by appropriate implementation of AI recommendation engine solutions into their operations. Further, concerns related to infrastructure compatibility is expected to be a major restraint for the growth of recommendation engine market. As technological compatibility is linked to proper implementation of AI-based recommendation engines, improper implementation could lead to damages in the working mechanism of AI recommendation engine software and solutions.

The first section of the research report defines the segments of the market and presents its various classifications. The several applications of Global Recommendation Engine Market have been further discussed in this section. The status of the key regions along with the industry chain structure has been highlighted. The second chapter offers an outlook of the equipment suppliers, manufacturing cost structure, price of raw materials, key raw material suppliers, and cost of labor.

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This market research report emphasizes on the key players in this market everywhere throughout the world. This segment of the report comprises the organization backgrounds, prerequisites, and product portfolios, proficiency, manufacturing cost, contact data, overall cost, and revenue. Likewise, the program assembly, upstream raw materials, and downstream demand analysis are similarly supervised.

A majority of players in the Global Recommendation Engine Market are focusing towards product differentiation in order to stay ahead. Several key players are collaborating and partnering as go-to strategies to maintain their position in the market. Besides this, players are also banking on unconventional production technologies, which is projected to unfold immense opportunities for market growth.

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Table of Contents

Global Recommendation Engine Market Research Report 2018

Chapter 1        Global Recommendation Engine Market Overview
Chapter 2        Global Economic Impact on Industry
Chapter 3        Global Market Competition by Manufacturers
Chapter 4        Global Production, Revenue (Value) by Region
Chapter 5        Global Supply (Production), Consumption, Export, Import by Regions
Chapter 6        Global Production, Revenue (Value), Price Trend by Type
Chapter 7        Global Market Analysis by Application
Chapter 8        Manufacturing Cost Analysis
Chapter 9        Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter 10      Marketing Strategy Analysis, Distributors/Traders
Chapter 11      Market Effect Factors Analysis
Chapter 12     Global Market Forecast

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