Global Content Recommendation Engine Market Size, Growth Analysis Report, Forecast to 2027


Posted September 12, 2021 by TanveerAhmed005

The global market for content recommendation engine is projected to have considerable CAGR of around 34.5% during the forecast period.

 
The global market for content recommendation engine is projected to have considerable CAGR of around 34.5% during the forecast period. The market growth mainly backed by the increasing adoption of various digital solutions by the companies to improve customer experience and growing demand of management of large consumer data for proper customer experience insights. The growing trend for a better understanding of the customer as the customer engagement strategy further propels the demand for content recommendation solutions in various industries such as retail & e-commerce, telecom and BFSI. The content recommendation solutions are essential part of these industries as these solutions provide focus on improving customer experience and brand reinforcement. The content recommendation engine becomes increasingly important to customers’ expectations for choice between products, services, and preferred channels are growing across various industries such as retail and others.
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Segmental Outlook
The global content recommendation engine market is segmented based on product type and industry. Based on the product type, the market is further classified into solutions and services. The services segment is projected to have considerable growth owing to the growing demand of content recommendations services for better understanding of customer experience by the companies. On the basis of industry the market is further segregated into BFSI, retail & e-commerce, media & entertainment, hospitality, IT & telecom, and others.
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Global content recommendation engine market to be driven by Retail & E-commerce Industry
Among Industry, the retail & e-commerce industry segment held a considerable share in the market. The increasing organized retail and e-commerce market is one of the major factors which is providing a significant market to the segment. The content recommendation engine for retail & e-commerce is used for various applications including visitors' interactions, dispute resolutions, browsers level experience, fraud investigations and so on. Apart from this, the engine offer content based on survey/poll management, feedback management, customer analysis, sentiment analysis, text analysis and so on. Organized retail is increasing significantly globally due to which a huge data is generating from customer feedback and purchasing pattern. Retail chains, cosmetic & apparel brands, furniture, books are included in the segment. Walmart is the largest retailer globally which is handling around 265 million customers each week and has more than 11,200 stored in 27 countries. Therefore the presence of large retail and e-commerce companies further increases the demand of content recommendation engine.

Regional Outlook
Geographically, the global content recommendation engine market is further classified into North America, Europe, Asia-Pacific and the Rest of the World. Asia-Pacific is estimated to have considerable market growth in the global market during the forecast period. The market growth is attributed to the significant adoption of content recommendation engine in economies such as China, Japan, India, South Korea, Thailand, and Australia. Further, growth in the industry vertical in these countries and increasing adoption digital solution in various industries such as retail & e-commerce is also driving the market growth.

North America to hold a considerable share in the global content recommendation engine market
Geographically, North America is projected to hold a significant market share in the global content recommendation engine market. Major economies which are anticipated to contribute to the North America content recommendation engine market are the US and Canada. North America is dominating the content recommendation engine market owing to wide adoption of content recommendation engine solutions, significant presence of content recommendation engine vendors and growing demand of data centric solutions. The e-commerce market share is increasing significantly in the US as in 2018 the e-commerce had 14.3% share of total retail sales as compared to 12.9% and 11.6% in 2017 and 2016 respectively. Moreover, The Canada e-commerce industry is growing significantly owing to the development in technological infrastructure, and increasing e-commerce sale. A major factor for the growth of the e-commerce market is high penetration of the internet which was around 96% in 2018 as per the International Trade Administration. In 2018, there were around 19.8 million e-commerce customers in the country and around 5.21 million users are expected to add by 2021.

Market Players Outlook
The key players in the content recommendation engine market contributing significantly by providing different types of products and increasing their geographical presence across the globe. The key players of the market include Amazon Web Services, Inc., IBM Corp., Kibo Software, Inc., Muvi LLC, Flyp Technologies Inc, Revcontent, Taboola, Inc and others. These market players adopt various strategies such as product launch, partnerships, collaborations, mergers, and acquisitions to sustain a strong position in the market.

The Report Covers
Market value data analysis of 2019 and forecast to 2026.
Annualized market revenues ($ million) for each market segment.
Country-wise analysis of major geographical regions.
Key companies operating in the global content recommendation engine market. Based on the availability of data, information related to pipeline products, and relevant news is also available in the report.
Analysis of business strategies by identifying the key market segments positioned for strong growth in the future.
Analysis of market-entry and market expansion strategies.
Competitive strategies by identifying ‘who-stands-where’ in the market.
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Last Updated September 12, 2021