The ‘Global Recommendation Engine Market’ published by Reports and Data is an all-encompassing study of the global Recommendation Engine industry, with a 360-degree view the industry and accurate information on the industry annual sales and revenues. The latest industry analysis report provides the reader with vital data information pertaining to the Recommendation Engine market and precisely calculates the market size and revenue growth rate over the forecast years. One of the specialties of the report is an in-depth analysis of the important market dynamics including drivers, opportunities, restraints, latest and upcoming market trends, potential challenges risks, supply demand ratios, production consumption patterns, technological innovations, gross profits, sales statistics, manufacturing distribution costs, and micro-economic and macro-economic growth indicators. The key market projections provided in the report are entirely based on historical and current market data. The Recommendation Engine market report is inclusive of quantitative and qualitative market analyses, in-depth research studies, critical market surveys, and expert interviews.

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Detailed Overview of the Recommendation Engine Market:

According to the latest report published by Reports and Data, the global ICT (information communications technology) market is estimated to register an impressive XX% CAGR during the forecast period and reach a market value of USD XX billion in 2026 from USD XX billion in 2020. Information and communications technology refers to telecommunication technologies, computer networks, and signal distribution management. The technologies enable storage, transmission, access, or reception of information by electronic means in a digital format. Major factors driving the global ICT industry revenue growth are fast-paced digitalization, increased penetration of mobile devices including smartphones and tablets, and rapid integration of emerging technologies such as artificial intelligence, machine learning, Big Data, and Internet of Things (IoT) in various industries including the BFSI, healthcare, automotive, education, construction, and agriculture industries. 

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Deployment Type Outlook (Volume, Kilo Tons; Revenue, USD Billion; 2016-2026)

• On-Premise
• Cloud

Application Type Outlook (Volume, Kilo Tons; Revenue, USD Billion; 2016-2026)

• Collaborative Filtering
• Content-Based Filtering
• Hybrid Recommendation
• Others

End-Users Outlook (Volume, Kilo Tons; Revenue, USD Billion; 2016-2026)

• Retail
• Media and Entertainment
• Transportation
• Healthcare
• BFSI
• Others

Key Regions of the Global Recommendation Engine Market:

• North America
  • S.
  • Canada
  • Mexico
• Europe
  • Germany
  • K.
  • Italy
  • France
  • BENELUX
  • Rest of Europe
• Asia Pacific
  • China
  • India
  • Japan
  • South Korea
  • Rest of Asia Pacific
• Latin America
  • Brazil
  • Rest of Latin America
• Middle East Africa
  • Saudi Arabia
  • A.E.
  • South Africa
  • Rest of Middle East Africa

Top Companies Profiled in the Report:

IBM, SAP, Salesforce, HPE, Oracle, Google, Microsoft, Intel, AWS, and Sentient Technologies, among others.

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Key Takeaways of the Recommendation Engine Market Report:

• The report offers a detailed analysis of the global Recommendation Engine market and its major and niche segments
• The report helps the reader identify the key growth trends and opportunities for the leading market players, as well as new entrants
• Regional outlook of the market is one of the key highlights of the report, and it directs readers’ attention towards the leading regional markets and their respective contributions to market revenue growth
• The study elaborates on the competitive landscape of the Recommendation Engine market, as well as the product portfolios of each of the market players
• The report offers information on the strategic developments taking place in the global Recommendation Engine market, including partnerships collaborations, mergers acquisitions, new product launches, and government deals.
• Moreover, the report provides a brief analysis of the COVID-19 impact on the Recommendation Engine market

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