The Global Recommendation Engine Market is expected to Grow steadily at a CAGR of +42% during the forecast period.
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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.
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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 collaborative filtering segment is expected to account for the largest market size during the forecast period. The collaborative filtering technique uses a large volume of information, such as users’ behavior, preferences, and activities from the past records to segment users based on similarity of likings.
Several industry verticals, such as retail, media and entertainment, transportation, Banking, Financial Services, and Insurance (BFSI), healthcare, energy and utilities, manufacturing, and education have deployed recommendation engines powered by AI for various applications, including personalized campaigns and customer discovery, product planning, strategy and operations planning, and proactive asset management.
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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