MRFR Press Release/- Market Research Future published a half cooked research report on the global firewall as a service market.
Recommendation search engine system predicts consumer needs based on previous purchase history, online behavior, ratings, reviews, and other personalized attributes. Nowadays companies are investing in real-time technologies to understand consumer behavior at a more granular level across channels and devices. The objective of recommendation search engine is to get more personalized recommendations, customer satisfaction, and increase the sales. Recommendation search engine solves common problems that general search engine face such as inability to scale, generate relevant recommendations, provide flexible processing plans, etc. The recommendation search engine market is gaining momentum to enhance the consumer experience and increase sales.
Some of the key players of Recommendation Search Engine market include Google (US), IBM (US), Microsoft (US), SAP (Germany), Salesforce (US), HPE (US), Oracle (US), Intel (US), AWS (US), and Sentient Technologies (US).
The prominent players keep innovating and investing in research and development to present cost-effective offerings. Merger and acquisitions among various players are changing the market structure. For instance, Google has acquired Jetpac, makers of an app that recommends destinations based on an analysis of publicly shared Instagram photos. The technology works automatically, extracting information from large numbers of publicly available photos instead of relying on curation or other manual processes.
The global recommendation search engine market is projected to reach approximately USD 13.3 Billion at a CAGR of 34.2% by the end of the forecast period 2022-2030
The geographical analysis of global recommendation market is done for regions like North America, Europe, Asia Pacific, and rest of the world. Among these regions, the market is expected to be mostly dominated by North America during the forecast period. The major growth drivers in this region are the presence of many enterprises and technological advancements. There is a rise in need to enhance the customer experience among the enterprises and accordingly formulate customer engagement strategies. For instance, eBay collects user feedback about its products which is then used to recommend products to users who have exhibited similar behaviors. Recommendation search engine helps enterprises quickly and efficiently turn vast amounts of data into actionable information. Asia Pacific region is expected to grow in forecast region due to rapid digitalization, the presence of SME’s and large enterprises, and growing adoption of cloud services. Also, the growth in need to analyze the consumer data has driven the adoption of recommendation engines across different end-users.