Recommendation Engines Market Growth:
Washington, D.C., United States: The global recommendation engines market size is projected to reach USD 54 billion by 2030, from USD 3 billion in 2021, and is anticipated to register a CAGR of 37% during the forecast period (2022–2030). Straits Research's latest report on, Recommendation Engines Market - Global Industry Overview and Forecast 2022-2030, highlights potential, risk factor analyses, and enhanced with strategic and tactical decision-making assistance. The growth and regulatory factors impacting information consumption, the availability of highly dependable items in the market, and the improvement in operating efficiency of Recommendation Engines industry players. Recommendation Engines Market Scope report covers market trends and development, drivers, capacities, technologies, and the changing dynamics of the Recommendation Engines Market.
Competitive Landscape
Some of the prominent players operating in the Recommendation Engines market are IBM Corporation, Google LLC (Alphabet Inc), Amazon Web Services Inc, Microsoft Corporation, Salesforce.com Inc, Unbxd Inc, Oracle Corporation, Intel Corporation, SAP SE, Hewlett Packard Enterprise Co., Qubit Digital, Algonomy Software Pvt Ltd, Recolize GmbH, Adobe Inc.,
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Studies explore the effects of COVID-19 on the upstream, midstream, and downstream sectors of the industry. In addition, this analysis provides extensive market estimations by putting an emphasis on data covering numerous factors that encompass market dynamics such as market drivers, market barriers, market opportunities, market risks, and industry news and trends.
This research also provides a dashboard view of prominent Organization, highlighting their effective marketing tactics, market share and most recent advances in both historical and current settings.
Global Recommendation Engines Market: Segmentation
As a result of the Recommendation Engines market segmentation, the market is divided into sub-segments based on product type, application, as well as regional and country-level forecasts. By Deployment Mode On-premises Cloud By Type Collaborative Filtering Content-based Filtering Hybrid Recommendation Systems Other Types By End-user Industry IT and Telecommunication BFSI Retail Media and Entertainment Healthcare Others
The report forecasts revenue growth at all the geographic levels and provides an in-depth analysis of the latest industry trends and development patterns from 2022 to 2030 in each of the segments and sub-segments. Some of the major geographies included in the market are given below:
- North America (U.S., Canada)
- Europe (U.K., Germany, France, Italy)
- Asia Pacific (China, India, Japan, Singapore, Malaysia)
- Latin America (Brazil, Mexico)
- Middle East Africa
Report Scope
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The following are the report's key features:
- It gives useful information on the Global Recommendation Engines Market.
- Information for the years 2022-2030 is provided.
- Market-related important factors are highlighted.
- The latest technological innovations, government restrictions, and developments are presented.
- This paper investigates advertising and marketing techniques, market trends, and analysis.
- Growth projections and analyses by forecast 2030.
- The statistical analysis of the market's leading competitors is emphasised.
- Recommendation Engines Market summary based on extensive study.
Table of Content
- Introduction
- Market Definition
- Market Scope
- Research Methodology
- Primary Research
- Research Methodology
- Assumptions Exclusions
- Secondary Data Sources
- Market Overview
- Report Segmentation Scope
- Value Chain Analysis: Recommendation Engines Market
- Key Market Trends
- Drivers
- Restraints
- Opportunities
- Porter’s Five Forces Analysis
- Bargaining Power of Suppliers
- Bargaining Power of Buyers
- Threat of Substitution
- The threat of New Entrants
- Competitive Rivalry
- Market Share Analysis
- Component Overview
- Deployment Model Overview
- Regional Overview
- Introduction
- Market Size Forecast
- America
- Europe
- Asia Pacific
- Middle East Africa
- Company Profile
- Conclusion Recommendation
- Acronyms Abbreviations
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