Content Recommendation Engine is Estimated to Grow at a 29.50 billion during 2023–2030 :

MRFR Press Release/— Market Research Future published a half-cooked research report on content recommendation engine market.

Market Highlights

The rise in the digitalization has increased the utilization of online shopping

With the rise in the digitalization, there has been an increase in online shopping via various e-commerce platforms in the Asia-Pacific region that has encouraged websites to utilize the content recommendation engines to provide enhanced user experience and expand their customer base. These recommendation engines enable the search to be user-friendly and show consumer with the products or information as per the previous search. Additionally, the increasing ownership of mobile phones is contributing to the growth of e-commerce and fueling the adoption of recommendation engines by e-commerce websites. Additionally, developments in the SME segment are expected to increase the adoption of content recommendation engine by enterprises, as these solutions enable ventures to attain benefits, of monitoring the number of users viewing the product, searching the services, and others.

Key players

The prominent players in the market of content recommendation market is Amazon Web Services (US), Boomtrain (US), Certona (US), Curata (US), Cxense (Norway), Dynamic Yield (US), IBM (US), Kibo Commerce (US), Outbrain (US), Revcontent (US), Taboola (US), and ThinkAnalytics (UK).

Regional Analysis

The global market for content recommendation engine is estimated to grow at a significant rate during the forecast period from 2018 to 2023. The geographical analysis of content recommendation market is covered for North America, Europe, Asia-Pacific, and the rest of the world. Asia-Pacific is considered to be the fastest growing region in the global content recommendation engine market during the forecast period. In addition, a few factors that tend to drive the market are the rapid expansion of enterprises, development in infrastructure, and development to analyze consumer information, which has driven the content recommendation engine across different end-use applications. North America is expected to be the dominating region for content recommendation engine market during the forecast period. The significant driving factor for the market is the increasing need to comprehend the client behaviour and preference and, filter a large amount of information related to a subject or business insights as per the consumer requirement.