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Recommendation Engine Market

Recommendation Engine Market by Type (Collaborative Filtering, Content-based Filtering and Hybrid Recommendation), Deployment Model (On-Premises and Cloud), Enterprise Size (Large Enterprises and Small & Medium Enterprises), Application (Product Planning, Strategy & Operations Planning, Proactive Asset Management and Others) and Industry Vertical (BFSI, Media & Entertainment, Transportation, Healthcare, Retail and Others): Global Opportunity Analysis and Industry Forecast, 2021–2030

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A recommendation engine is also referred to as a system, which recognizes and offers suggested content to the customers. The recommendation engine is regarded as an important chunk of applications and software products in the ICT domain. Recommendation engines are being used various sectors, including e-commerce, social media, and content-based websites. Content recommendation engine is an analytical tool to generate significant suggestions to certain users about products or items they may be interested in. Content recommendation engine makes the use of keywords searched by the user in assisting the products the user is looking for. The recommendation engine makes the use of search history of the users. Based upon recent searches, the recommendation engine shows up the relevant content accordingly, making it easier for the customers to view content of their choice, and thus enhance the customer experience.

Market scope and structure analysis:

Report Metric


  Market size available for years


  Base year considered


  Forecast period


  Forecast unit

  Value ($)

  Segments covered

Type, Deployment Model, Enterprise Size, Application, Industry Vertical and Region.

  Regions covered

North America (U.S. and Canada), Europe (Germany, UK, France, and rest of Europe), Asia-Pacific (China, Japan, India, and rest of Asia-Pacific), Latin America (Brazil, Mexico, and rest of LATAM) and Middle East & Africa

  Companies covered

International Business Machines Corporation, SAP SE, Inc., HP Inc., Oracle Corporation, Alphabet Inc., Microsoft Corporation, Intel Corporation, Amazon Web Services Inc., Sentient Technologies, LLC.


COVID-19 scenario analysis: 

  • The outbreak of COVID-19 virus adversely affected the global economies. With governments around the world enforcing lockdown to reduce the transmission of COVID-19, people are staying back at their homes, which led to an increase in online shopping and buying of goods and services. Consequently, supply chain players amongst retailers are considering deploying AI and smart analytics to ensure flexibility.
  • Digital transformation offers opportunities for suppliers to acquire new customers, interact with existing customers, reduce the cost of business operations, and enhance employee motivation. These advantages create a positive impact on the income and surpluses. This positive impact is likely to create significant opportunities for implementing recommendation engines during the forecast period.

Top impacting factors: Market Scenario Analysis, Trends, Drivers, and Impact Analysis

The increase in focus on enhancing customer experience and rapid adoption of recommendation engine platform among the enterprises for providing customers with enhanced experience are the major factors, which drive the growth of the recommendation engine market. In addition, majority of the companies worldwide are pursuing digital transformation, concentrating on improving the experience of customers and employees, which drive the growth of the market. However, protecting confidential information of customers, lack of technical expertise, and issues related to infrastructural and technological complexities are the factors hampering the growth of the market. Furthermore, rise in usage of artificial intelligence in recommendation engine to offer individual customer experience is expected to provide lucrative opportunities to the growth of recommendation engine market. 

The market trends for recommendation engine market are as follows:

Adoption of recommendation engine technology by IT & telecom segment

Advancement in technology allows the service providers to gather huge amount of relevant information about the geographical location. The main challenge is to effectively process the data and combine it with customer intelligence to improve the achievement of marketing campaigns and provide convenient and appropriate services to increase return on investment. The recommendation engine for the telecom is implemented to merge the collaborative filtering algorithms on a data collected consisting of consumer preferences on various services provided by the telecom sector.

Asia-Pacific is expected to observe growth during the forecast period

Asia-Pacific is expected to grow at recommendation engine market during the forecast period. Additionally, several factors, such as rapid expansion of enterprises, rise in infrastructure developments, and increase in the need to analyze customer data, have propelled the adoption of recommendation engines across different users. The key driving factors for the market are rise in need to understand consumer behavior & preferences and the need to attain business intuitions from a large amount of data to make several customer engagement strategies. 

Key segments covered:


Sub segments


  1. Collaborative Filtering
  2. Content-based Filtering
  3. Hybrid Recommendation

  Deployment Model

  1. On-Premises
  2. Cloud

  Enterprise Size

  1. Large Enterprises
  2. Small & Medium Enterprises


  1. Product Planning
  2. Strategy & Operations Planning
  3. Proactive Asset Management
  4. Others

  End User

  1. BFSI
  2. Media & Entertainment
  3. Transportation
  4. Healthcare
  5. Retail
  6. Others


Key benefits of the report:

  • This study presents analytical depiction of the recommendation engine market along with the current trends and future estimations to determine the imminent investment pockets.
  • The report presents information related to key drivers, restraints, and opportunities along with detailed analysis of the market share.
  • The current market is quantitatively analyzed from 2021 to 2030 to highlight the recommendation engine market growth scenario.
  • Porter’s five forces analysis illustrates the potency of buyers & suppliers in the recommendation engine market. 
  • The report provides a detailed market analysis based on the present and future competitive intensity of the market. 

Questions answered in the recommendation engine market research report:

  • Who are the leading market players active in recommendation engine market?
  • What would be the detailed impact of COVID-19 on recommendation engine market?
  • What current trends would influence the market in the next few years??
  • What are the driving factors, restraints, and opportunities in the recommendation engine market?
  • What are the projections for the future that would help in taking further strategic steps?
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