Recommendation Engine Market - Industry Analysis, Market Size, Share, Trends,Application Analysis, Growth and Forecast 2020 - 2025

Report Code: ITR 92809 Report Format: PDF + Excel (Delivery in 48 Hrs)
The recommendation system uses data analysis techniques to identify items which match the user's taste and preferences. There are different types of recommendation engines for different applications. These include the product recommendation engine, the content recommendation engine, the e-commerce product recommendation and the movie recommendation engine. Recommendation Engine Market size is projected to reach $12.03 billion by 2025 from $ 1.14 billion in 2018, with a CAGR of 32.39% during 2020-2025.Growing emphasis on improving consumer experience and increasing trend of digitalization are some of the main driving factors for the demand of recommendation engines. In addition to these factors, the increase in demand for analyzing large volumes of data and increasing use of deep learning technology in recommendation engine is anticipated to provide the market with growth opportunities.

Key Takeaways
  • Asia Pacific Region holds the largest Recommendation engine market share owing to increasing demand from small and medium sized enterprises. 
  • The Hybrid Recommendation Engine Segment is expected to grow at a higher CAGR during the forecast period.
  • The Retail End User Segment account for the maximum market share in the Global Recommendation Engine Market.

By Type - Segment Analysis

During the forecast period the hybrid recommendation type is projected to grow at a CAGR of 36.65%. The recommendation engine market depending on type includes collaborative filtering, content-based filtering and hybrid recommendation. The hybrid recommendation type helps different organizations to incorporate two different types of data filtering to make more reliable recommendations. This leads to the adoption of hybrid recommendation type in the AI-powered recommendation systems. Netflix use hybrid recommendation engine. The website makes suggestions by analyzing the viewing and browsing behaviors of similar users (i.e. collaborative filtering) as well as by providing films that share features with highly rated films (content-based filtering) by an user. Netflix subscribers in United States have increased by more than 11% during 2017-2019. This has led to increased demand for the recommendation engine market in this region.

By End User - Segment Analysis

During 2020-2025, the retail sector is projected to be grow at a CAGR of 34.65% during 2020-2025. The segment uses AI-powered recommendation engines to gain advantages, such as customer retention and increased revenue through the implementation of recommendation engines based by AI. For instance, The National Retail Federation predicts that U.S. retail sales will rise between 3.8% and 4.4% in 2019 to more than $3.8 trillion amid risks from the continuing trade war, volatile stock market, and government shutdown effects. As the retail sector uses the recommendation engines extensively, this increase will help the recommendation engine market to grow.

Geography - Segment Analysis

Asia Pacific held the largest market share of 32.25% in 2018.  Several factors, such as rapid expansion of local businesses, increased technology advancements, and growth in need to analyze customer data, have driven the adoption of recommendation engines across various end-users. Determinants such as the increase of Over the Top (OTT) players and rapid digitization are expected to drive to increasing deployment of content recommendation engine platforms in the Asia Pacific region. In the Asia Pacific region, demand for content recommendation engine solutions is significant in small and medium-sized enterprises. In India, e-commerce has grown rapidly with an increasing number of users. Online e-commerce platforms use the recommendation engines to provide users with highly relevant and related product details as per their search. For instance, According to India Brand Equity Foundation (IBEF), India's e-commerce revenue is projected to rise from $39 billion in 2017 to $120 billion in 2020, increasing at the world's highest annual rate of 51%.This will in turn increase the demand for the recommendation engines in the APAC region.

Drivers – Recommendation Engine Market

  • Increase in Digitalization Rate 
With the rise in digitalization, online shopping has increased across rising e-commerce platforms. Such recommendation engines allow user-friendly browsing and show the products or information to the customer as per the previous search. In addition, mobile phone ownership is rapidly contributing to e-commerce growth and prompting e-commerce websites to embrace recommendation engines. According to Global System for Mobile Communications Association (GSMA), the number of mobile subscribers are expected to reach 5.8 billion in 2025, from 5.1 billion in 2018. This anticipated rise would boost the growth of the e-commerce industry, which is driving the market for the Recommendation Engine.

  • Focus on improving customer satisfaction
Development in emphasis to improve customer experience is a major factor driving the development of the demand for the recommendation engine. In addition, it is important to enhance customer experience to achieve customer engagement and retention, higher sales and return on investment (RoI). Smart product recommendations also allow natural, logical opportunities for upselling and cross-selling. Customers show interest through their actions and experience, and the product recommendation system automatically matches the behavior with the right recommendations. Small transactions will become larger, and customers who may not have been on the track to make a purchase are suddenly interested in doing so. For instance, 31% of ecommerce site revenue is generated from customized recommendations and almost 35% of Amazon’s revenue is generated by its recommendation engine.

Challenges – Recommendation Engine Market

  • Protection of sensitive customer data 
The more personal data generated by a recommendation engine, the more reliable feedback can be received by consumers. User data obtained by the recommender may include user identity information, demographic profile, behavioral data and history of purchase, ranking history, and more. This information may be highly sensitive to privacy. Providing this information in the clear to the recommender could present unacceptable risks in terms of privacy. The recommender might sell the data to a third party without the permission of the client or even stolen by motivated attackers. In 2018, 64% of the businesses were targets of web-based attacks. Also, it is estimated that around $6 trillion will be spent on cybersecurity worldwide by 2021. Therefore, it is important to protect user data in recommendation systems. But the lack of efficient systems for the data protection will cause a hindrance to the rapidly growing Recommendation Engine Market.

Market Landscape

Technology launches, expansion and R&D activities are key strategies adopted by players in the Recommendation Engine market. In 2018, the market of Recommendation Engine has been fragmented by the top five players accounting for 35% of the share. The major vendors in the global recommendation engine market based on AI are IBM, SAP, Salesforce, HPE, Oracle, Google, Microsoft, Intel, AWS, and Sentient Technologies.

Expansion/Technology Launches
  • Amazon revealed in June 2019 the general availability of Amazon Personalize, an AWS platform which enables the creation of websites, mobile apps, content management and email marketing systems that recommend products, offer personalized search results and customize funnels on the fly.
  • In September 2019, Alibaba-owned UCWeb has announced that they are planning to expand into e-commerce by creating a recommendation engine that will create product listings alongside existing company offerings such as videos.
1. Recommendation Engine Market - Overview
        1.1 Definitions and Scope
2. Recommendation Engine Market - Executive summary
        2.1 Market Revenue, Market Size and Key Trends by Company
        2.2 Key Trends by type of Application
        2.3 Key Trends segmented by Geography
3. Recommendation Engine Market
        3.1 Comparative analysis
            3.1.1 Product Benchmarking - Top 10 companies
            3.1.2 Top 5 Financials Analysis
            3.1.3 Market Value split by Top 10 companies
            3.1.4 Patent Analysis - Top 10 companies
            3.1.5 Pricing Analysis
4. Recommendation Engine Market - Startup companies Scenario Premium
        4.1 Top 10 startup company Analysis by
            4.1.1 Investment
            4.1.2 Revenue
            4.1.3 Market Shares
            4.1.4 Market Size and Application Analysis
            4.1.5 Venture Capital and Funding Scenario
5. Recommendation Engine Market - Industry Market Entry Scenario Premium
        5.1 Regulatory Framework Overview
        5.2 New Business and Ease of Doing business index
        5.3 Case studies of successful ventures
        5.4 Customer Analysis - Top 10 companies
6. Recommendation Engine Market Forces
        6.1 Drivers
        6.2 Constraints
        6.3 Challenges
        6.4 Porters five force model
            6.4.1 Bargaining power of suppliers
            6.4.2 Bargaining powers of customers
            6.4.3 Threat of new entrants
            6.4.4 Rivalry among existing players
            6.4.5 Threat of substitutes
7. Recommendation Engine Market -Strategic analysis
        7.1 Value chain analysis
        7.2 Opportunities analysis
        7.3 Product life cycle
        7.4 Suppliers and distributors Market Share
8. Recommendation Engine Market - By Product Type(Market Size -$Million / $Billion)
        8.1 Market Size and Market Share Analysis
        8.2 Application Revenue and Trend Research
        8.3 Product Segment Analysis
            8.3.1 Collaborative Filtering
            8.3.2 Content-Based Filtering
            8.3.3 Hybrid Recommendation
        8.4 AI Recommendation Engine Market By Deployment Mode
            8.4.1 Cloud
            8.4.2 On-Premises
9. Recommendation Engine Market - By Technology(Market Size -$Million / $Billion)
9.1 Context Aware
9.1.1 Machine Learning & Deep Learning
9.1.2 Natural Language Processing
9.2 Geospatial Aware
10. Recommendation Engine Market By End-User
10.1 Retail
10.2 Media & Entertainment
10.3 Transportation
10.4 Healthcare
10.5 Banking, Financial Services, and Insurance 
10.6 Others
11. Recommendation Engine - By Application Type(Market Size -$Million / $Billion)
        11.1 Segment type Size and Market Share Analysis
        11.2 Application Revenue and Trends by type of Application
        11.3 Application Segment Analysis by Type
            11.3.1 Personalized Campaigns & Customer Discovery
            11.3.2 Product Planning
            11.3.3 Strategy & Operations Planning
            11.3.4 Proactive Asset Management
            11.3.5 Others
12. Recommendation Engine- By Geography (Market Size -$Million / $Billion)
        12.1 Recommendation Engine Market - North America Segment Research
        12.2 North America Market Research (Million / $Billion)
            12.2.1 Segment type Size and Market Size Analysis
            12.2.2 Revenue and Trends
            12.2.3 Application Revenue and Trends by type of Application
            12.2.4 Company Revenue and Product Analysis
            12.2.5 North America Product type and Application Market Size
                  12.2.5.1 U.S
                  12.2.5.2 Canada
                  12.2.5.3 Mexico
                  12.2.5.4 Rest of North America
        12.3 Recommendation Engine- South America Segment Research
        12.4 South America Market Research (Market Size -$Million / $Billion)
            12.4.1 Segment type Size and Market Size Analysis
            12.4.2 Revenue and Trends
            12.4.3 Application Revenue and Trends by type of Application
            12.4.4 Company Revenue and Product Analysis
            12.4.5 South America Product type and Application Market Size
                  12.4.5.1 Brazil
                  12.4.5.2 Venezuela
                  12.4.5.3 Argentina
                  12.4.5.4 Ecuador
                  12.4.5.5 Peru
                  12.4.5.6 Colombia
                  12.4.5.7 Costa Rica
                  12.4.5.8 Rest of South America
        12.5 Recommendation Engine- Europe Segment Research
        12.6 Europe Market Research (Market Size -$Million / $Billion)
            12.6.1 Segment type Size and Market Size Analysis
            12.6.2 Revenue and Trends
            12.6.3 Application Revenue and Trends by type of Application
            12.6.4 Company Revenue and Product Analysis
            12.6.5 Europe Segment Product type and Application Market Size
                  12.6.5.1 U.K
                  12.6.5.2 Germany
                  12.6.5.3 Italy
                  12.6.5.4 France
                  12.6.5.5 Netherlands
                  12.6.5.6 Belgium
                  12.6.5.7 Denmark
                  12.6.5.8 Spain
                  12.6.5.9 Rest of Europe
        12.7 Recommendation Engine - APAC Segment Research
        12.8 APAC Market Research (Market Size -$Million / $Billion)
            12.8.1 Segment type Size and Market Size Analysis
            12.8.2 Revenue and Trends
            12.8.3 Application Revenue and Trends by type of Application
            12.8.4 Company Revenue and Product Analysis
            12.8.5 APAC Segment - Product type and Application Market Size
                  12.8.5.1 China
                  12.8.5.2 Australia
                  12.8.5.3 Japan
                  12.8.5.4 South Korea
                  12.8.5.5 India
                  12.8.5.6 Taiwan
                  12.8.5.7 Malaysia
                  12.8.5.8 Hong kong
                  12.8.5.9 Rest of APAC
        12.9 Recommendation Engine - Middle East Segment and Africa Segment Research
        12.10 Middle East & Africa Market Research (Market Size -$Million / $Billion)
            12.10.1 Segment type Size and Market Size Analysis
            12.10.2 Revenue and Trend Analysis
            12.10.3 Application Revenue and Trends by type of Application
            12.10.4 Company Revenue and Product Analysis
            12.10.5 Middle East Segment Product type and Application Market Size
                  12.10.5.1 Israel
                  12.10.5.2 Saudi Arabia
                  12.10.5.3 UAE
            12.10.6 Africa Segment Analysis
                  12.10.6.1 South Africa
                  12.10.6.2 Rest of Middle East & Africa
13. Recommendation Engine Market - Entropy
        13.1 New product launches
        13.2 M&A s, collaborations, JVs and partnerships
14. Recommendation Engine Market - Industry / Segment Competition landscape Premium
        14.1 Market Share Analysis
            14.1.1 Market Share by Country- Top companies
            14.1.2 Market Share by Region- Top 10 companies
            14.1.3 Market Share by type of Application - Top 10 companies
            14.1.4 Market Share by type of Product / Product category- Top 10 companies
            14.1.5 Market Share at global level - Top 10 companies
            14.1.6 Best Practises for companies
15. Recommendation Engine Market - Key Company List by Country Premium
15. Recommendation Engine Market Company Analysis
15.1 Market Share, Company Revenue, Products, M&A, Developments
15.2 AWS
15.3 Fuzzy.AI
15.4 Google
15.5 HPE
15.6 IBM
15.7 Infinite Analytics
15.8 Intel
15.9 Microsoft
15.10 Oracle
15.11 Salesforce
15.12 SAP
15.13 Sentient Technologies
15.14 Company 13
15.15 Company 14 & More
*Financials would be provided on a best efforts basis for private companies
16. Recommendation Engine Market - Appendix
        16.1 Abbreviations
        16.2 Sources
17. Recommendation Engine Market - Methodology
        17.1 Research Methodology
            17.1.1 Company Expert Interviews
            17.1.2 Industry Databases
            17.1.3 Associations
            17.1.4 Company News
            17.1.5 Company Annual Reports
            17.1.6 Application Trends
            17.1.7 New Products and Product database
            17.1.8 Company Transcripts
            17.1.9 R&D Trends
            17.1.10 Key Opinion Leaders Interviews
            17.1.11 Supply and Demand Trends

LIST OF TABLES

1.Global AI Recommendation Engine Market By Type Market 2019-2024 ($M)
1.1 Collaborative Filtering Market 2019-2024 ($M) - Global Industry Research
1.2 Content-Based Filtering Market 2019-2024 ($M) - Global Industry Research
1.3 Hybrid Recommendation Market 2019-2024 ($M) - Global Industry Research
2.Global Market By Technology Market 2019-2024 ($M)
2.1 Context Aware Market 2019-2024 ($M) - Global Industry Research
2.1.1 Machine Learning & Deep Learning Market 2019-2024 ($M)
2.1.2 Natural Language Processing Market 2019-2024 ($M)
2.2 Geospatial Aware Market 2019-2024 ($M) - Global Industry Research
3.Global AI Recommendation Engine Market By Deployment Mode Market 2019-2024 ($M)
3.1 Cloud Market 2019-2024 ($M) - Global Industry Research
3.2 On-Premises Market 2019-2024 ($M) - Global Industry Research
4.Global AI Recommendation Engine Market By End-User Market 2019-2024 ($M)
4.1 Retail Market 2019-2024 ($M) - Global Industry Research
4.2 Media & Entertainment Market 2019-2024 ($M) - Global Industry Research
4.3 Transportation Market 2019-2024 ($M) - Global Industry Research
4.4 Healthcare Market 2019-2024 ($M) - Global Industry Research
5.Global AI Recommendation Engine Market By Type Market 2019-2024 (Volume/Units)
5.1 Collaborative Filtering Market 2019-2024 (Volume/Units) - Global Industry Research
5.2 Content-Based Filtering Market 2019-2024 (Volume/Units) - Global Industry Research
5.3 Hybrid Recommendation Market 2019-2024 (Volume/Units) - Global Industry Research
6.Global Market By Technology Market 2019-2024 (Volume/Units)
6.1 Context Aware Market 2019-2024 (Volume/Units) - Global Industry Research
6.1.1 Machine Learning & Deep Learning Market 2019-2024 (Volume/Units)
6.1.2 Natural Language Processing Market 2019-2024 (Volume/Units)
6.2 Geospatial Aware Market 2019-2024 (Volume/Units) - Global Industry Research
7.Global AI Recommendation Engine Market By Deployment Mode Market 2019-2024 (Volume/Units)
7.1 Cloud Market 2019-2024 (Volume/Units) - Global Industry Research
7.2 On-Premises Market 2019-2024 (Volume/Units) - Global Industry Research
8.Global AI Recommendation Engine Market By End-User Market 2019-2024 (Volume/Units)
8.1 Retail Market 2019-2024 (Volume/Units) - Global Industry Research
8.2 Media & Entertainment Market 2019-2024 (Volume/Units) - Global Industry Research
8.3 Transportation Market 2019-2024 (Volume/Units) - Global Industry Research
8.4 Healthcare Market 2019-2024 (Volume/Units) - Global Industry Research
9.North America AI Recommendation Engine Market By Type Market 2019-2024 ($M)
9.1 Collaborative Filtering Market 2019-2024 ($M) - Regional Industry Research
9.2 Content-Based Filtering Market 2019-2024 ($M) - Regional Industry Research
9.3 Hybrid Recommendation Market 2019-2024 ($M) - Regional Industry Research
10.North America Market By Technology Market 2019-2024 ($M)
10.1 Context Aware Market 2019-2024 ($M) - Regional Industry Research
10.1.1 Machine Learning & Deep Learning Market 2019-2024 ($M)
10.1.2 Natural Language Processing Market 2019-2024 ($M)
10.2 Geospatial Aware Market 2019-2024 ($M) - Regional Industry Research
11.North America AI Recommendation Engine Market By Deployment Mode Market 2019-2024 ($M)
11.1 Cloud Market 2019-2024 ($M) - Regional Industry Research
11.2 On-Premises Market 2019-2024 ($M) - Regional Industry Research
12.North America AI Recommendation Engine Market By End-User Market 2019-2024 ($M)
12.1 Retail Market 2019-2024 ($M) - Regional Industry Research
12.2 Media & Entertainment Market 2019-2024 ($M) - Regional Industry Research
12.3 Transportation Market 2019-2024 ($M) - Regional Industry Research
12.4 Healthcare Market 2019-2024 ($M) - Regional Industry Research
13.South America AI Recommendation Engine Market By Type Market 2019-2024 ($M)
13.1 Collaborative Filtering Market 2019-2024 ($M) - Regional Industry Research
13.2 Content-Based Filtering Market 2019-2024 ($M) - Regional Industry Research
13.3 Hybrid Recommendation Market 2019-2024 ($M) - Regional Industry Research
14.South America Market By Technology Market 2019-2024 ($M)
14.1 Context Aware Market 2019-2024 ($M) - Regional Industry Research
14.1.1 Machine Learning & Deep Learning Market 2019-2024 ($M)
14.1.2 Natural Language Processing Market 2019-2024 ($M)
14.2 Geospatial Aware Market 2019-2024 ($M) - Regional Industry Research
15.South America AI Recommendation Engine Market By Deployment Mode Market 2019-2024 ($M)
15.1 Cloud Market 2019-2024 ($M) - Regional Industry Research
15.2 On-Premises Market 2019-2024 ($M) - Regional Industry Research
16.South America AI Recommendation Engine Market By End-User Market 2019-2024 ($M)
16.1 Retail Market 2019-2024 ($M) - Regional Industry Research
16.2 Media & Entertainment Market 2019-2024 ($M) - Regional Industry Research
16.3 Transportation Market 2019-2024 ($M) - Regional Industry Research
16.4 Healthcare Market 2019-2024 ($M) - Regional Industry Research
17.Europe AI Recommendation Engine Market By Type Market 2019-2024 ($M)
17.1 Collaborative Filtering Market 2019-2024 ($M) - Regional Industry Research
17.2 Content-Based Filtering Market 2019-2024 ($M) - Regional Industry Research
17.3 Hybrid Recommendation Market 2019-2024 ($M) - Regional Industry Research
18.Europe Market By Technology Market 2019-2024 ($M)
18.1 Context Aware Market 2019-2024 ($M) - Regional Industry Research
18.1.1 Machine Learning & Deep Learning Market 2019-2024 ($M)
18.1.2 Natural Language Processing Market 2019-2024 ($M)
18.2 Geospatial Aware Market 2019-2024 ($M) - Regional Industry Research
19.Europe AI Recommendation Engine Market By Deployment Mode Market 2019-2024 ($M)
19.1 Cloud Market 2019-2024 ($M) - Regional Industry Research
19.2 On-Premises Market 2019-2024 ($M) - Regional Industry Research
20.Europe AI Recommendation Engine Market By End-User Market 2019-2024 ($M)
20.1 Retail Market 2019-2024 ($M) - Regional Industry Research
20.2 Media & Entertainment Market 2019-2024 ($M) - Regional Industry Research
20.3 Transportation Market 2019-2024 ($M) - Regional Industry Research
20.4 Healthcare Market 2019-2024 ($M) - Regional Industry Research
21.APAC AI Recommendation Engine Market By Type Market 2019-2024 ($M)
21.1 Collaborative Filtering Market 2019-2024 ($M) - Regional Industry Research
21.2 Content-Based Filtering Market 2019-2024 ($M) - Regional Industry Research
21.3 Hybrid Recommendation Market 2019-2024 ($M) - Regional Industry Research
22.APAC Market By Technology Market 2019-2024 ($M)
22.1 Context Aware Market 2019-2024 ($M) - Regional Industry Research
22.1.1 Machine Learning & Deep Learning Market 2019-2024 ($M)
22.1.2 Natural Language Processing Market 2019-2024 ($M)
22.2 Geospatial Aware Market 2019-2024 ($M) - Regional Industry Research
23.APAC AI Recommendation Engine Market By Deployment Mode Market 2019-2024 ($M)
23.1 Cloud Market 2019-2024 ($M) - Regional Industry Research
23.2 On-Premises Market 2019-2024 ($M) - Regional Industry Research
24.APAC AI Recommendation Engine Market By End-User Market 2019-2024 ($M)
24.1 Retail Market 2019-2024 ($M) - Regional Industry Research
24.2 Media & Entertainment Market 2019-2024 ($M) - Regional Industry Research
24.3 Transportation Market 2019-2024 ($M) - Regional Industry Research
24.4 Healthcare Market 2019-2024 ($M) - Regional Industry Research
25.MENA AI Recommendation Engine Market By Type Market 2019-2024 ($M)
25.1 Collaborative Filtering Market 2019-2024 ($M) - Regional Industry Research
25.2 Content-Based Filtering Market 2019-2024 ($M) - Regional Industry Research
25.3 Hybrid Recommendation Market 2019-2024 ($M) - Regional Industry Research
26.MENA Market By Technology Market 2019-2024 ($M)
26.1 Context Aware Market 2019-2024 ($M) - Regional Industry Research
26.1.1 Machine Learning & Deep Learning Market 2019-2024 ($M)
26.1.2 Natural Language Processing Market 2019-2024 ($M)
26.2 Geospatial Aware Market 2019-2024 ($M) - Regional Industry Research
27.MENA AI Recommendation Engine Market By Deployment Mode Market 2019-2024 ($M)
27.1 Cloud Market 2019-2024 ($M) - Regional Industry Research
27.2 On-Premises Market 2019-2024 ($M) - Regional Industry Research
28.MENA AI Recommendation Engine Market By End-User Market 2019-2024 ($M)
28.1 Retail Market 2019-2024 ($M) - Regional Industry Research
28.2 Media & Entertainment Market 2019-2024 ($M) - Regional Industry Research
28.3 Transportation Market 2019-2024 ($M) - Regional Industry Research
28.4 Healthcare Market 2019-2024 ($M) - Regional Industry Research

LIST OF FIGURES

1.US Recommendation Engine Market Revenue, 2019-2024 ($M)
2.Canada Recommendation Engine Market Revenue, 2019-2024 ($M)
3.Mexico Recommendation Engine Market Revenue, 2019-2024 ($M)
4.Brazil Recommendation Engine Market Revenue, 2019-2024 ($M)
5.Argentina Recommendation Engine Market Revenue, 2019-2024 ($M)
6.Peru Recommendation Engine Market Revenue, 2019-2024 ($M)
7.Colombia Recommendation Engine Market Revenue, 2019-2024 ($M)
8.Chile Recommendation Engine Market Revenue, 2019-2024 ($M)
9.Rest of South America Recommendation Engine Market Revenue, 2019-2024 ($M)
10.UK Recommendation Engine Market Revenue, 2019-2024 ($M)
11.Germany Recommendation Engine Market Revenue, 2019-2024 ($M)
12.France Recommendation Engine Market Revenue, 2019-2024 ($M)
13.Italy Recommendation Engine Market Revenue, 2019-2024 ($M)
14.Spain Recommendation Engine Market Revenue, 2019-2024 ($M)
15.Rest of Europe Recommendation Engine Market Revenue, 2019-2024 ($M)
16.China Recommendation Engine Market Revenue, 2019-2024 ($M)
17.India Recommendation Engine Market Revenue, 2019-2024 ($M)
18.Japan Recommendation Engine Market Revenue, 2019-2024 ($M)
19.South Korea Recommendation Engine Market Revenue, 2019-2024 ($M)
20.South Africa Recommendation Engine Market Revenue, 2019-2024 ($M)
21.North America Recommendation Engine By Application
22.South America Recommendation Engine By Application
23.Europe Recommendation Engine By Application
24.APAC Recommendation Engine By Application
25.MENA Recommendation Engine By Application
26.IBM, Sales /Revenue, 2015-2018 ($Mn/$Bn)
27.Google, Sales /Revenue, 2015-2018 ($Mn/$Bn)
28.AWS, Sales /Revenue, 2015-2018 ($Mn/$Bn)
29.Microsoft, Sales /Revenue, 2015-2018 ($Mn/$Bn)
30.Salesforce, Sales /Revenue, 2015-2018 ($Mn/$Bn)
31.Sentient Technologies, Sales /Revenue, 2015-2018 ($Mn/$Bn)
32.HPE, Sales /Revenue, 2015-2018 ($Mn/$Bn)
33.Oracle, Sales /Revenue, 2015-2018 ($Mn/$Bn)
34.Intel, Sales /Revenue, 2015-2018 ($Mn/$Bn)
35.SAP, Sales /Revenue, 2015-2018 ($Mn/$Bn)
36.Key Innovators, Sales /Revenue, 2015-2018 ($Mn/$Bn)