Content Recommendation Engine Market Set to Witness Growth 2018 – 2022 | Top Worldwide Key Players – AWS, Boomtrain, Certona, Curata, Cxense, Dynamic Yield, IBM, Outbrain

“Global Content Recommendation Engine Market Report 2018” report provides the newest industry data and industry future trends, allowing you to identify the products and end users driving Revenue growth and profitability. The industry report lists the leading competitors and provides the insights strategic industry Analysis of the key factors influencing the market.

Global Content Recommendation Engine Market Overview:

The report spread across 120 pages is an overview of the Global Content Recommendation Engine Market Report 2018. The Global Content Recommendation Engine Market is projected to grow at a healthy growth rate from 2018 to 2022 according to new research. The study focuses on market trends, leading players, supply chain trends, technological innovations, key developments, and future strategies.

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With the slowdown in world economic growth, the Content Recommendation Engine industry has also suffered a certain impact, but still maintained a relatively optimistic growth, the past four years, Content Recommendation Engine market size to maintain the average annual growth rate of 25.99% from 560 Million $ in 2014 to 1120 Million $ in 2017, market research analysts believe that in the next few years, Content Recommendation Engine market size will be further expanded, we expect that by 2022, The market size of the Content Recommendation Engine will reach 4510 Million $.

The Global Content Recommendation Engine Market is segmented on the basis of Component, Filtering Approach, Organization Size, Vertical and Region. Based on Organization Size, the small and medium enterprises segment of the content recommendation engine market is estimated to witness the highest growth during the forecast period.

On the basis of Component, the service segment is expected to witness the highest growth during the forecast period. The high growth of the service segment can be attributed to the growing need to simplify the implementation and maintenance of recommendation solution. Complexities in implementing recommendation solution powered by advanced technologies, such as AI and deep learning, are also supporting the growth of the service segment.

Regionally, North America is estimated to lead the Content Recommendation Engine Market in 2017. The growth of the Content Recommendation Engine Market can be attributed to continuous technological innovation in the region.

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Major Key Players:

1 Amazon Web Services (US)

2 Boomtrain (US)

3 Certona (US)

4 Curata (US)

5 Cxense (Norway)

6 Dynamic Yield (US)

7 IBM (US)

8 Kibo Commerce (US)

9 Outbrain (US)

10 Revcontent (US)

11 Taboola (US)

12 ThinkAnalytics (UK)

Market segment by Regions/Countries, this report covers:

1 North America Country (United States, Canada)

2 South America

3 Asia Country (China, Japan, India, Korea)

4 Europe Country (Germany, UK, France, Italy)

5 Other Country (Middle East, Africa, GCC)

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This study answers to the below key questions:

1 What will the market size be in 2022 and what will the growth rate be?

2 What are the key market trends?

3 What is driving this market?

4 What are the challenges to market growth?

5 Who are the key vendors in this market space?

6 What are the market opportunities and threats faced by the key vendors?

7 What are the strengths and weaknesses of the key vendors?

Major Points in Table of Contents:

Global Content Recommendation Engine Market Report 2018

1 Content Recommendation Engine Product Definition

2 Global Content Recommendation Engine  Market Manufacturer Share and Market Overview

3 Manufacturer Content Recommendation Engine  Business Introduction

4 Global Content Recommendation Engine  Segmentation (Region Level)

5 Global Content Recommendation Engine  Market Segmentation (Product Type Level)

6 Global Content Recommendation Engine  Market Segmentation (Industry Level)

7 Global Content Recommendation Engine  Market Segmentation (Channel Level)

8 Content Recommendation Engine  Market Forecast 2018-2022

9 Content Recommendation Engine  Segmentation Product Type

10 Content Recommendation Engine  Segmentation Industry

11 Content Recommendation Engine  Cost of Production Analysis

12 Conclusion

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