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(IT-NEWSWIRE.COM, June 11, 2018 ) The Global Recommendation Engine Market to Grow steadily at a CAGR of +42% during the forecast period.
The growth in focus toward enhancing the customer experience is a major factor driving the growth of the recommendation engine market. Moreover, enhancing customer experience is important to achieve customer engagement and retention, thereby achieving higher sales and Return on Investment (RoI). However, designing of targeted campings, as well as relevant product and content recommendations, could help organizations engage more customers. Hence, analysis of customer data here plays a vital role to understand the customer behavior and preferences.
This market research report delves deep into the Global Recommendation Engine Market. It highlights the recent market scenario, growth in the past few years, and opportunities for manufacturers in the future. The research methods and tools used in the completion of this study are both primary and secondary research. The study further presents details on the investments initiated by several organizations, institutions, government, and non-government bodies.
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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.
The objective of the study is to define, describe, and forecast the recommendation engine market powered by AI, on the basis of types (collaborative filtering, content-based filtering, and hybrid recommendations) deployment modes (cloud and on-premises), technologies (context aware and geospatial aware), applications (personalized campaigns and customer discovery, product planning, strategy and operations planning, and proactive asset management), end-users (Banking, Financial Services, and Insurance (BFSI); media and entertainement; healthcare; retail; and transportation), and regions. Moreover, the report aims at providing detailed information about the major factors influencing the growth of market, such as drivers, restraints, opportunities, and challenges.
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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Source: EmailWire.Com 
Source: EmailWire.com
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