Global Recommendation Engine Market Competitive Landscape: The “Recommendation Engine Market” study report will provide a valuable insight with an emphasis on the global market including some of the major players such as IBM, Microsoft, Salesforce, HPE, Oracle, Google, AWS, Intel and SAP. Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight into the financial statements of all the major players, along with its product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share and market ranking analysis of the above-mentioned players globally.
What is a Recommendation Engine Market: A recommendation engine can be defined as a software that analyzes and scrutinize the available data to make propositions which may interest the website user. A recommendation engine can also be described as a system that recognizes and offers suggested content or for workers. For example, mobile apps and other advances made in technology continue to change the interest of users and utilize the given information. The recommendation engine is considered as an essential chunk of applications and software products in the ICT domain. Recommendation engines are used in e-commerce, social media, and content-based websites.
According to Planet Market Reports, the Global Recommendation Engine Market was valued at USD 1,123.10 Million in 2018 and is projected to grow at a CAGR of 38.59% to reach USD 15,460.01 Million by 2026, over the forecast period.
Global Recommendation Engine Market Outlook: In the report, the market outlook section mainly encompasses the fundamental dynamics of the market which include drivers, restraints, opportunities, and challenges faced by the industry. Drivers and Restraints are intrinsic factors whereas opportunities and challenges are extrinsic factors of the market.
The growing scope of digital transformation and increasing approaches made to satisfy customer experience are few of the major factors in the Global Recommendation Engine Market. Apart from this, concerns regarding infrastructure compatibility could affect the growth rate of global Recommendation Engine market.
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Planet Market Reports narrows down the available data using primary sources to validate the data and use it in compiling a full-fledged market research study. The report contains a quantitative and qualitative estimation of market elements which interests the client. The “Global Recommendation Engine Market” is mainly bifurcated into sub-segments which can provide classified data regarding the latest trends in the market. This can be of great use in gaining knowledge about cutting-edge technologies in the market.
Global Recommendation Engine Market Segmentation, by Type
On the basis of Type, Recommendation Engine Market is segmented into:
• Collaborative Filtering
• Content-Based Filtering
• Hybrid Recommendation
Global Recommendation Engine Market Segmentation, by Application
On the basis of Application, Recommendation Engine Market is segmented into:
• Strategy and Operations Planning
• Proactive Asset Management
• Personalized Campaigns and Customer Discovery
• Product Planning
Global Recommendation Engine Market Segmentation, by End-User
On the basis of End-User, Recommendation Engine Market is segmented into:
• Media and Entertainment
• Banking, Financial Services, and Insurance
Global Recommendation Engine Market Geographic Scope
• North America
o Rest of Europe
• Asia Pacific
o Rest of Asia Pacific
• Latin America
• Rest of the World
Reasons to Purchase this Report
• Qualitative and quantitative analysis of the market based on segmentation involving both economic as well as non-economic factors
• Provision of market value USD Billion data for each segment and sub-segment
• Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market
• Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region
• Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions and acquisitions in the past five years of companies profiled
• Extensive company profiles comprising of company overview, company insights, product benchmarking and SWOT analysis for the major market players
• The current as well as the future market outlook of the industry with respect to recent developments which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions
• Includes in-depth analysis of the market of various perspectives through Porter’s five forces analysis
• Provides insight into the market through Value Chain
• Market dynamics scenario, along with growth opportunities of the market in the years to come
• 6-month post sales analyst support
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Table of Content
1 INTRODUCTION OF RECOMMENDATION ENGINE MARKET
2 EXECUTIVE SUMMARY
3 RESEARCH METHODOLOGY OF Planet Market Reports
4 RECOMMENDATION ENGINE MARKET OUTLOOK
5 RECOMMENDATION ENGINE MARKET, BY TYPE
6 RECOMMENDATION ENGINE MARKET, BY APPLICATION
7 RECOMMENDATION ENGINE MARKET, BY END-USER
8 RECOMMENDATION ENGINE MARKET, BY GEOGRAPHY
9 RECOMMENDATION ENGINE MARKET COMPETITIVE LANDSCAPE
10 COMPANY PROFILES
- 10.1 Salesforce
10.2 Sentient Technologies
Recommendation Engine Market Report Highlights
- The report provides a detailed analysis on current and future market trends to identify the investment opportunities
- Market forecasts till 2026, using estimated market values as the base numbers
- Key market trends across the business segments, Regions and Countries
- Key developments and strategies observed in the market
- Market Dynamics such as Drivers, Restraints, Opportunities and other trends
- In-depth company profiles of key players and upcoming prominent players
- Growth prospects among the emerging nations through 2025
- Market opportunities and recommendations for new investments
Thanks for reading this article; you can also get individual chapter wise section or region wise report version like North America, Europe or Asia.
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- Further breakdown of the North American data-wrangling Market
- Further breakdown of the European Market
- Further breakdown of the APAC Market
- Further breakdown of the MEA Market
- Further breakdown of the Latin American Market
Please note that owing to the criticality of the Recommendation Engine Market and rapidly changing market attributes, we are in the middle of updating the report. The final report may require 2 to 3 working days post-confirmation in order to cater to the most recent updates.
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