Recommendation Engine Market (By Type: Collaborative Filtering, Content-based Filtering, Hybrid Recommendation; By Deployment: On-premise, Cloud; By Application: Personalized Campaigns and Customer Delivery, Strategy Operations and Planning, Product Planning and Proactive Asset Management; By Organization: SMEs, Large Enterprise; By End-use: Information Technology, Healthcare, Retail) - Global Industry Analysis, Size, Share, Growth, Trends, Revenue, Regional Outlook 2021 – 2030

Published Date : Sep 2021 | No. of Pages : 150+ Pages | Category : ICT

The global recommendation engine market size is expected to be worth around US$ 20.3 billion by 2030, according to a new report by Vision Research Reports.

The global recommendation engine market size was valued at US$ 2.80 billion in 2020 and is anticipated to grow at a CAGR of 35.2% during forecast period 2021 to 2030.

Recommendation Engine Market Size 2021 to 2030

Report Coverage

Report Scope Details
Market Size USD 20.3 billion by 2030
Growth Rate CAGR of 35.2% From 2021 to 2030
Base Year 2020
Historic Data 2017 to 2020
Forecast Period 2021 to 2030
Segments Covered Type, Deployment, Application, Organization, End-use
Regional Scope North America, Europe, Asia Pacific, Latin America, Middle East & Africa
Companies Mentioned Adobe; Amazon Web Services, Inc.; Google LLC;  Hewlett Packard Enterprise Development LP; International Business Machines Corporation; Intel Corporation; Microsoft Corporation; Oracle; Salesforce.com, Inc.; SAP SE

Growth Factors

 The growing adoption of digital technologies among organizations is one of the key factors driving the market. In addition, the rising competition among organizations and the need to provide a better customer experience are increasing the demand for recommendation systems.

The increasing need to enhance customer experience is fueling the demand for recommendation engines. The growing adoption of digital technologies among organizations is also resulting in the increased demand for recommendation engine solutions.

Report Highlights

The collaborative filtering segment accounted for the largest revenue share of over 44.0% in 2020 and is projected to retain its lead over the forecast period. This can be attributed to the rising demand for reliable recommendation engines from e-commerce platforms to enhance their customers' shopping experience by suggesting products based on their tastes and preferences.  

The hybrid recommendation segment is projected to expand at the highest CAGR of 36.4% over the forecast period. The growth of this segment can be attributed to the increase in demand from organizations that need features of both collaborative filtering and content-based filtering.

The cloud segment accounted for the largest revenue share of over 88.0% in 2020 and is projected to register the highest CAGR over the forecast period. This can be attributed to the increase in demand from players adopting cloud technologies to integrate recommendation engines onto their web-based applications, including businesses across industries such as media and entertainment and retail.

The on-premise segment accounted for the second-largest revenue share in 2020. The growth of this segment can be attributed to the demand for on-premise recommendation systems from large enterprises owing to their higher spending capacity for on-premise infrastructure and data security solutions.

The personalized campaigns and customer delivery segment accounted for the largest revenue share of more than 42.0% in 2020. The dominance of this segment can be accredited to the increase in the need to provide better customer experience and services to customers.

The product planning and proactive asset management segment is anticipated to account for the second-largest revenue share by the end of the forecast period. Additionally, this segment is projected to expand at the highest CAGR of 36.1% during the forecast period. 

The retail segment accounted for the largest revenue share of nearly 28.0% in 2020 and is expected to retain its lead over the forecast period. This can be attributed to the growing adoption of recommendation systems by and retail organizations to provide better and quick services to their customers owing to the increasing competition in the industry.

The large enterprise segment accounted for the largest revenue share of more than 56.0% in 2020. This can be attributed to the higher demand for recommendation engines from large enterprises to make better decisions, efficiently manage their business portfolio, and gain a competitive edge in the global market.

The SMEs segment is projected to exhibit the highest CAGR of 34.6% during the forecast period. The rising need to offer a better user experience in the highly competitive market is driving this segment.

The North American regional market accounted for the largest revenue share of over 36.0% in 2020 and is expected to retain its lead over the forecast period. This can be attributed to the growing adoption of advanced technologies and increase in government support for emerging technologies in the region.

The Asia Pacific market is anticipated to expand at the highest CAGR of 38.5% over the forecast period. Factors such as the rising penetration of e-commerce, an upsurge in online shopping transactions, and an increase in the number of Over the Top (OTT) service providers are fueling the demand for recommendation engines in the region.

Key Players

  • Adobe

  • Amazon Web Services, Inc.

  • Google LLC

  • Hewlett Packard Enterprise Development LP

  • International Business Machines Corporation

  • Intel Corporation

  • Microsoft Corporation

  • Oracle

  • Salesforce.com, Inc.

  • SAP SE

Market Segmentation

  • Type

    • Collaborative Filtering

    • Content-based Filtering

    • Hybrid Recommendation

  • Deployment

    • On-premise

    • Cloud

  • Application

    • Personalized Campaigns and Customer Delivery

    • Strategy Operations and Planning

    • Product Planning and Proactive Asset Management

  • Organization

    • SMEs

    • Large Enterprise

  • End-use

    • Information Technology

    • Healthcare

    • Retail

    • BFSI

    • Media & Entertainment

    • Others

  • Regional

    • North America

      • U.S.

      • Canada

    • Europe

      • U.K.

      • Germany

      • France

      • Italy

    • Asia Pacific

      • China

      • India

      • Japan

    • Latin America

      • Brazil

      • Mexico

    • Middle East & Africa

The Recommendation Engine market research report covers definition, classification, product classification, product application, development trend, product technology, competitive landscape, industrial chain structure, industry overview, national policy and planning analysis of the industry, the latest dynamic analysis, etc., and also includes major. The study includes drivers and restraints of the global market. It covers the impact of these drivers and restraints on the demand during the forecast period. The report also highlights opportunities in the market at the global level.

The report provides size (in terms of volume and value) of Recommendation Engine market for the base year 2020 and the forecast between 2021 and 2030. Market numbers have been estimated based on form and application. Market size and forecast for each application segment have been provided for the global and regional market.

This report focuses on the global Recommendation Engine market status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Recommendation Engine market development in United States, Europe and China.

It is pertinent to consider that in a volatile global economy, we haven’t just conducted Recommendation Engine market forecasts in terms of CAGR, but also studied the market based on key parameters, including Year-on-Year (Y-o-Y) growth, to comprehend the certainty of the market and to find and present the lucrative opportunities in market.

In terms of production side, this report researches the Recommendation Engine capacity, production, value, ex-factory price, growth rate, market share for major manufacturers, regions (or countries) and type.

In terms of consumption side, this report focuses on the consumption of Recommendation Engine by regions (countries) and application.

Buyers of the report will have access to verified market figures, including global market size in terms of revenue and volume. As part of production analysis, the authors of the report have provided reliable estimations and calculations for global revenue and volume by Type segment of the global Recommendation Engine market. These figures have been provided in terms of both revenue and volume for the period 2017 to 2030. Additionally, the report provides accurate figures for production by region in terms of revenue as well as volume for the same period. The report also includes production capacity statistics for the same period.

With regard to production bases and technologies, the research in this report covers the production time, base distribution, technical parameters, research and development trends, technology sources, and sources of raw materials of major Recommendation Engine market companies.

Regarding the analysis of the industry chain, the research of this report covers the raw materials and equipment of Recommendation Engine market upstream, downstream customers, marketing channels, industry development trends and investment strategy recommendations. The more specific analysis also includes the main application areas of market and consumption, major regions and Consumption, major Chinese producers, distributors, raw material suppliers, equipment providers and their contact information, industry chain relationship analysis.

The research in this report also includes product parameters, production process, cost structure, and data information classified by region, technology and application. Finally, the paper model new project SWOT analysis and investment feasibility study of the case model.

Overall, this is an in-depth research report specifically for the Recommendation Engine industry. The research center uses an objective and fair way to conduct an in-depth analysis of the development trend of the industry, providing support and evidence for customer competition analysis, development planning, and investment decision-making. In the course of operation, the project has received support and assistance from technicians and marketing personnel in various links of the industry chain.

Recommendation Engine market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies’ focus related to Recommendation Engine market.

Prominent players in the market are predicted to face tough competition from the new entrants. However, some of the key players are targeting to acquire the startup companies in order to maintain their dominance in the global market. For a detailed analysis of key companies, their strengths, weaknesses, threats, and opportunities are measured in the report by using industry-standard tools such as the SWOT analysis. Regional coverage of key companies is covered in the report to measure their dominance. Key manufacturers of Recommendation Engine market are focusing on introducing new products to meet the needs of the patrons. The feasibility of new products is also measured by using industry-standard tools.

Key companies are increasing their investments in research and development activities for the discovery of new products. There has also been a rise in the government funding for the introduction of new Recommendation Engine market. These factors have benefited the growth of the global market for Recommendation Engine. Going forward, key companies are predicted to benefit from the new product launches and the adoption of technological advancements. Technical advancements have benefited many industries and the global industry is not an exception.

New product launches and the expansion of already existing business are predicted to benefit the key players in maintaining their dominance in the global market for Recommendation Engine. The global market is segmented on the basis of region, application, en-users and product type. Based on region, the market is divided into North America, Europe, Asia-Pacific, Latin America and Middle East and Africa (MEA).

In this study, the years considered to estimate the market size of Recommendation Engine are as follows:

  • History Year: 2017-2020
  • Base Year: 2021
  • Forecast Year 2021 to 2030

Reasons to Purchase this Report:


- Market segmentation analysis including qualitative and quantitative research incorporating the impact of economic and policy aspects
- Regional and country level analysis integrating the demand and supply forces that are influencing the growth of the market.
- Market value USD Million and volume Units Million data for each segment and sub-segment
- Competitive landscape involving the market share of major players, along with the new projects and strategies adopted by players in the past five years
- Comprehensive company profiles covering the product offerings, key financial information, recent developments, SWOT analysis, and strategies employed by the major market players

Research Methodology:

In-depth interviews and discussions were conducted with several key market participants and opinion leaders to compile the research report.

This research study involved the extensive usage of both primary and secondary data sources. The research process involved the study of various factors affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry, and market risks, opportunities, market barriers and challenges. The following illustrative figure shows the market research methodology applied in this report.

Market Size Estimation

Top-down and bottom-up approaches are used to estimate and validate the global market size for company, regional division, product type and application (end users).

The market estimations in this report are based on the selling price (excluding any discounts provided by the manufacturer, distributor, wholesaler or traders). Market share analysis, assigned to each of the segments and regions are achieved through product utilization rate and average selling price.

Major manufacturers & their revenues, percentage splits, market shares, growth rates and breakdowns of the product markets are determined through secondary sources and verified through the primary sources.

All possible factors that influence the markets included in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. The market size for top-level markets and sub-segments is normalized, and the effect of inflation, economic downturns, and regulatory & policy changes or others factors are accounted for in the market forecast. This data is combined and added with detailed inputs and analysis from Vision Research Reports and presented in this report.

Market Breakdown and Data Triangulation

After complete market engineering with calculations for market statistics; market size estimations; market forecasting; market breakdown; and data triangulation. Extensive primary research was conducted to gather information and verify and validate the critical numbers arrived at. In the complete market engineering process, both top-down and bottom-up approaches were extensively used, along with several data triangulation methods, to perform market estimation and market forecasting for the overall market segments and sub-segments listed in this report.

Secondary Sources

Secondary Sources occupies approximately 25% of data sources, such as press releases, annual reports, Non-Profit organizations, industry associations, governmental agencies and customs data, and so on. This research study includes secondary sources; directories; databases such as Bloomberg Business, Wind Info, Hoovers, Factiva (Dow Jones & Company), TRADING ECONOMICS, and avention; Investing News Network; statista; Federal Reserve Economic Data; annual reports; investor presentations; and SEC filings of companies.

Primary Sources

In the primary research process, various sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information for this report. The primary sources from the supply side include product manufacturers (and their competitors), opinion leaders, industry experts, research institutions, distributors, dealer and traders, as well as the raw materials suppliers and producers, etc.

The primary sources from the demand side include industry experts such as business leaders, marketing and sales directors, technology and innovation directors, supply chain executive, end users (product buyers), and related key executives from various key companies and organizations operating in the global market.

The study objectives of this report are:

  • To analyze and study the global market capacity, production, value, consumption, status (2017-2020) and forecast (2021-2030);
  • Focuses on the key manufacturers, to study the capacity, production, value, market share and development plans in future.
  • Comprehensive company profiles covering the product offerings, key financial information, recent developments, SWOT analysis, and strategies employed by the major market players
  • To define, describe and forecast the market by type, application and region.
  • To analyze the global and key regions market potential and advantage, opportunity and challenge, restraints and risks.
  • To identify significant trends and factors driving or inhibiting the market growth.
  • To analyze the opportunities in the market for stakeholders by identifying the high growth segments.
  • To strategically analyze each submarket with respect to individual growth trend and their contribution to the market
  • To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market
  • To strategically profile the key players and comprehensively analyze their growth strategies.

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