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Content Recommendation Engine Global Market Report 2024

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    Report

  • 200 Pages
  • January 2024
  • Region: Global
  • The Business Research Company
  • ID: 5767669
The content recommendation engine is a platform that uses data collection, data storage, data analysis, and data filtering to provide personalized content and suggestions to website visitors to optimize their experience, which leads to increased viewership and purchases. The content recommendation engine is used for predicting user behavior based on user visits to a website or user profile and then recommending content, products, or services a customer is likely to consume or engage with.

The main components of a content recommendation engine include solution and service. Content recommendation engine solutions include website development services, application development services for devices, software developments, and others. The different content recommendation engine filtration approaches include collaborative filtering, content-based filtering and hybrid filtering. The organization size for content recommendation engines is small and medium enterprises and large enterprises. The content recommendation engine verticals include e-commerce, media, entertainment, gaming, retail and consumer goods, hospitality, IT and telecommunication, BFSI, education and training, healthcare and pharmaceutical and other verticals.

The content recommendation engine market research report is one of a series of new reports that provides content recommendation engine market statistics, including content recommendation engine industry global market size, regional shares, competitors with an content recommendation engine market share, detailed content recommendation engine market segments, market trends and opportunities, and any further data you may need to thrive in the content recommendation engine industry. This content recommendation engine market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The content recommendation engine market size has grown exponentially in recent years. It will grow from $5.95 billion in 2023 to $8.08 billion in 2024 at a compound annual growth rate (CAGR) of 35.7%. The growth in the historic period can be attributed to increasing volume of digital content, user engagement and retention, personalization trends, competition in streaming services.

The content recommendation engine market size is expected to see exponential growth in the next few years. It will grow to $28.19 billion in 2028 at a compound annual growth rate (CAGR) of 36.7%. The growth in the forecast period can be attributed to cross-platform integration, integration with voice and conversational interfaces, ai explainability and transparency, contextual recommendations, enhanced privacy measures, dynamic user profiles. Major trends in the forecast period include rise of personalization, data analytics and machine learning advances, integration with streaming platforms, cross-platform recommendations, context-aware recommendations.

The rapid digitalization is expected to propel the growth of the content recommendation engine market. Digitalization is the use of various digital technologies and the increase in digital access to change a business model and value-producing opportunities to generate high revenue. For instance, in March 2023, according to the International Energy Agency (IEA), a France-based intergovernmental organization, in advanced economies, the level of digitalization, on average, increased by 6%. Notably, in sectors with greater digitalization, there was a substantial reduction of 20% in labor productivity losses when comparing the 75th percentile to the 25th percentile of digitalization levels. Content recommendation engines are widely used in many firms to optimize business operations and attract maximum customers, improve customer engagement and drive higher revenues. According to the article published by Barilliance Ltd., an Israel-based company that provides personalized solutions for e-commerce platforms and email marketing, in September 2021, approximately 31% of e-commerce revenue is generated from product recommendations. Therefore, rapid digitalization in businesses is driving the content recommendation engine market growth.

The growing internet user is expected to boost the growth of the content recommendation engine market going forward. An internet user refers to an individual who accesses and utilizes the internet for various purposes, such as browsing websites, sending and receiving emails, using online applications, engaging in social media, conducting research, and accessing digital content. The growing number of internet users provides content recommendation engines with more data, better opportunities for personalization, and a broader user base, which collectively leads to increased demand for these systems in a variety of sectors. For instance, in November 2022, according to a report published by the International Telecommunication Union, a Switzerland-based specialized agency, an estimated 5.3 billion people, accounting for 66 percent of the global population, use the Internet in 2022. This reflects a 6.1% growth rate from 2021. Therefore, the growing internet user is driving the growth of the content recommendation engine market.

New product innovation is the key trend gaining popularity in the content recommendation engine market. Major companies operating in the content recommendation engine market are focused on product innovations that could give better recommendation solutions used online business platforms and strengthen their position in the market. For instance, in June 2022, Algolia, a US-based company providing personalized solutions for e-commerce platforms, introduced its advanced recommendation platform based on hybrid filtering combined with artificial intelligence known as Algolia recommend spring. Hybrid filtering technology uses both filtering methods to fill gaps in prediction processes, such as content-based filtering for users’ current interests and collaborative filtering for preferences and behaviours of users this combination can provide an accurate prediction. The platform is an artificial intelligence-based recommendations engine integrated with a search and discovery platform to connect with users to provide relevant, actionable recommendations to enhance customer engagement.

Major companies operating in the content recommendation engine market are developing innovative products such as personalized content recommendation products to meet larger customer bases, more sales, and increase revenue. A personalized content recommendation product refers to a technology or software solution that uses algorithms and user data to suggest specific content, products, or services to individuals based on their preferences, behaviours, and past interactions. For instance, in February 2023, Amplitude Inc., a US-based software company, launched Amplitude Audiences. A distinctive aspect of this product is its ability to seamlessly integrate AI-powered recommendations with robust audience management features, all within a user-friendly, self-service solution. Amplitude Audiences offers a range of distinctive features, including behavioral segmentation through cohort analysis and computations, predictive modeling and segmentation based on predictions, activation through syncs and profile API, seamless integrations with over 30 destinations such as Braze, HubSpot, Intercom, Iterable, and Marketo, as well as powerful recommendations for achieving personalized 1:1 content experiences.

In April 2022, Taboola, a US-based company operating in content recommendation engine, acquired Gravity R&D for an undisclosed amount. Through this acquisition, Taboola aims to strengthen its product in the portfolio in content recommendations by providing personalized offers to customers to drive sales, increase average order sizes, and build customer loyalty to increase its market presence. Gravity R&D is a Hungry-based company operating in a content recommendation engine market.

Major companies operating in the in the content recommendation engine market report are International Business Machines Corporation (IBM), Amazon Web Services Inc, RevContent, Taboola, Outbrain Inc, Cxense ASA, Dynamic Yield Ltd, Curata Inc., Adobe Systems Inc., Salesforce. com Inc., Kibo Commerce, BloomReach Inc., Certona Corporation, RichRelevance Inc., Reflektion Inc., Barilliance Inc., Strands Labs Inc., Qubit Digital Ltd., ThinkAnalytics Ltd., Episerver Inc., Uberflip, Acquia Inc., Sailthru Inc., Zeta Global, Monetate Inc., Emarsys eMarketing Systems AG, IgnitionOne Inc., Boxever Ltd., BlueConic Inc., Sitecore Corporation A/S

North America was the largest region in the content recommendation engine market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the content recommendation engine market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

The countries covered in the content recommendation engine market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Italy, Canada, Spain.

The content recommendation engine market consists of revenues earned by entities by providing content recommendation engine that are used for data collection and analysis based on user behavior. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified)).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.


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Table of Contents

1. Executive Summary2. Content Recommendation Engine Market Characteristics3. Content Recommendation Engine Market Trends And Strategies
4. Content Recommendation Engine Market - Macro Economic Scenario
4.1. Impact Of High Inflation On The Market
4.2. Ukraine-Russia War Impact On The Market
4.3. COVID-19 Impact On The Market
5. Global Content Recommendation Engine Market Size and Growth
5.1. Global Content Recommendation Engine Market Drivers and Restraints
5.1.1. Drivers Of The Market
5.1.2. Restraints Of The Market
5.2. Global Content Recommendation Engine Historic Market Size and Growth, 2018 - 2023, Value ($ Billion)
5.3. Global Content Recommendation Engine Forecast Market Size and Growth, 2023 - 2028, 2033F, Value ($ Billion)
6. Content Recommendation Engine Market Segmentation
6.1. Global Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
Solution
Service
6.2. Global Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
Collaborative Filtering
Content-Based Filtering
Hybrid Filtering
6.3. Global Content Recommendation Engine Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
Small And Medium Enterprises
Large Enterprises
6.4. Global Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
E-Commerce
Media, Entertainment, And Gaming
Retail And Consumer Goods
Hospitality
IT And Telecommunication
BFSI
Education And Training
Healthcare And Pharmaceutical
Other Verticals
7. Content Recommendation Engine Market Regional And Country Analysis
7.1. Global Content Recommendation Engine Market, Split By Region, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
7.2. Global Content Recommendation Engine Market, Split By Country, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
8. Asia-Pacific Content Recommendation Engine Market
8.1. Asia-Pacific Content Recommendation Engine Market Overview
Region Information, Impact Of COVID-19, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
8.2. Asia-Pacific Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
8.3. Asia-Pacific Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
8.4. Asia-Pacific Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
9. China Content Recommendation Engine Market
9.1. China Content Recommendation Engine Market Overview
9.2. China Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
9.3. China Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
9.4. China Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
10. India Content Recommendation Engine Market
10.1. India Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
10.2. India Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
10.3. India Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
11. Japan Content Recommendation Engine Market
11.1. Japan Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
11.2. Japan Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
11.3. Japan Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
12. Australia Content Recommendation Engine Market
12.1. Australia Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
12.2. Australia Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
12.3. Australia Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
13. Indonesia Content Recommendation Engine Market
13.1. Indonesia Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
13.2. Indonesia Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
13.3. Indonesia Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
14. South Korea Content Recommendation Engine Market
14.1. South Korea Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
14.2. South Korea Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
14.3. South Korea Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
15. Western Europe Content Recommendation Engine Market
15.1. Western Europe Content Recommendation Engine Market Overview
15.2. Western Europe Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
15.3. Western Europe Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
15.4. Western Europe Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
16. UK Content Recommendation Engine Market
16.1. UK Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
16.2. UK Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
16.3. UK Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
17. Germany Content Recommendation Engine Market
17.1. Germany Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
17.2. Germany Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
17.3. Germany Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
18. France Content Recommendation Engine Market
18.5. France Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
18.6. France Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
18.7. France Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
19. Italy Content Recommendation Engine Market
19.9. Italy Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
19.10. Italy Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
19.11. Italy Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
20. Spain Content Recommendation Engine Market
20.13. Spain Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
20.14. Spain Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
20.15. Spain Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
21. Eastern Europe Content Recommendation Engine Market
21.1. Eastern Europe Content Recommendation Engine Market Overview
21.2. Eastern Europe Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
21.3. Eastern Europe Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
21.4. Eastern Europe Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
22. Russia Content Recommendation Engine Market
22.1. Russia Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
22.2. Russia Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
22.3. Russia Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
23. North America Content Recommendation Engine Market
23.1. North America Content Recommendation Engine Market Overview
23.2. North America Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
23.3. North America Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
23.4. North America Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
24. USA Content Recommendation Engine Market
24.1. USA Content Recommendation Engine Market Overview
24.2. USA Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
24.3. USA Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
24.4. USA Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
25. Canada Content Recommendation Engine Market
25.1. Canada Content Recommendation Engine Market Overview
25.2. Canada Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
25.3. Canada Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
25.4. Canada Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
26. South America Content Recommendation Engine Market
26.1. South America Content Recommendation Engine Market Overview
26.2. South America Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
26.3. South America Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
26.4. South America Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
27. Brazil Content Recommendation Engine Market
27.1. Brazil Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
27.2. Brazil Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
27.3. Brazil Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
28. Middle East Content Recommendation Engine Market
28.1. Middle East Content Recommendation Engine Market Overview
28.2. Middle East Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
28.3. Middle East Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
28.4. Middle East Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
29. Africa Content Recommendation Engine Market
29.1. Africa Content Recommendation Engine Market Overview
29.2. Africa Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
29.3. Africa Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
29.4. Africa Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
30. Content Recommendation Engine Market Competitive Landscape And Company Profiles
30.1. Content Recommendation Engine Market Competitive Landscape
30.2. Content Recommendation Engine Market Company Profiles
30.2.1. International Business Machines Corporation (IBM)
30.2.1.1. Overview
30.2.1.2. Products and Services
30.2.1.3. Strategy
30.2.1.4. Financial Performance
30.2.2. Amazon Web Services Inc
30.2.2.1. Overview
30.2.2.2. Products and Services
30.2.2.3. Strategy
30.2.2.4. Financial Performance
30.2.3. RevContent
30.2.3.1. Overview
30.2.3.2. Products and Services
30.2.3.3. Strategy
30.2.3.4. Financial Performance
30.2.4. Taboola
30.2. 4.1. Overview
30.2. 4.2. Products and Services
30.2. 4.3. Strategy
30.2.4.4. Financial Performance
30.2.5. Outbrain Inc
30.2. 5.1. Overview
30.2. 5.2. Products and Services
30.2. 5.3. Strategy
30.2.5.4. Financial Performance
31. Global Content Recommendation Engine Market Competitive Benchmarking32. Global Content Recommendation Engine Market Competitive Dashboard33. Key Mergers And Acquisitions In The Content Recommendation Engine Market
34. Content Recommendation Engine Market Future Outlook and Potential Analysis
34.1 Content Recommendation Engine Market In 2028 - Countries Offering Most New Opportunities
34.2 Content Recommendation Engine Market In 2028 - Segments Offering Most New Opportunities
34.3. Content Recommendation Engine Market In 2028 - Growth Strategies
34.3.1 Market Trend Based Strategies
34.3.2 Competitor Strategies
35. Appendix
35.1. Abbreviations
35.2. Currencies
35.3. Historic And Forecast Inflation Rates
35.4. Research Inquiries
35.5. The Business Research Company
35.6. Copyright And Disclaimer

Executive Summary

Content Recommendation Engine Global Market Report 2024 provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on content recommendation engine market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

  • Gain a truly global perspective with the most comprehensive report available on this market covering 50+ geographies.
  • Understand how the market has been affected by the COVID-19 and how it is responding as the impact of the virus abates.
  • Assess the Russia - Ukraine war’s impact on agriculture, energy and mineral commodity supply and its direct and indirect impact on the market.
  • Measure the impact of high global inflation on market growth.
  • Create regional and country strategies on the basis of local data and analysis.
  • Identify growth segments for investment.
  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on the latest market shares.
  • Benchmark performance against key competitors.
  • Suitable for supporting your internal and external presentations with reliable high quality data and analysis
  • All data from the report will also be delivered in an excel dashboard format.

Description:

Where is the largest and fastest growing market for content recommendation engine? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? This report answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.

Scope

  • Markets Covered: 1) By Component: Solution; Service 2) By Filtering Approach: Collaborative Filtering; Content-Based Filtering; Hybrid Filtering 3) By Organization Size: Small And Medium Enterprises; Large Enterprises 4) By Vertical: E-Commerce; Media, Entertainment, And Gaming; Retail And Consumer Goods; Hospitality; IT And Telecommunication; BFSI; Education And Training; Healthcare And Pharmaceutical; Other Verticals
  • Companies Mentioned: International Business Machines Corporation (IBM); Amazon Web Services Inc; RevContent; Taboola; Outbrain Inc
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery format: PDF, Word and Excel Data Dashboard.

Companies Mentioned (Partial List)

A selection of companies mentioned in this report includes, but is not limited to:

  • International Business Machines Corporation (IBM)
  • Amazon Web Services Inc
  • RevContent
  • Taboola
  • Outbrain Inc
  • Cxense ASA
  • Dynamic Yield Ltd
  • Curata Inc.
  • Adobe Systems Inc.
  • Salesforce. com Inc.
  • Kibo Commerce
  • BloomReach Inc.
  • Certona Corporation
  • RichRelevance Inc.
  • Reflektion Inc.
  • Barilliance Inc.
  • Strands Labs Inc.
  • Qubit Digital Ltd.
  • ThinkAnalytics Ltd.
  • Episerver Inc.
  • Uberflip
  • Acquia Inc.
  • Sailthru Inc.
  • Zeta Global
  • Monetate Inc.
  • Emarsys eMarketing Systems AG
  • IgnitionOne Inc.
  • Boxever Ltd.
  • BlueConic Inc.
  • Sitecore Corporation A/S

Methodology

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