Recommendation Engine Market: size was US$ Bn in 2021 and is expected to reach US$ Bn by 2027, at a CAGR of % during the forecast period.

Recommendation Engine Market Overview: 

The purpose of this report is to provide a thorough examination of the Recommendation Engine Market by segments and geographics. The study goes into great detail on the primary factors influencing the Recommendation Engine market's growth. The study also offers a comprehensive analysis of the market's value chain. A recommendation engine is a technology that observes and scrutinises accessible data to produce suggestions that may be of attentiveness to a website visitor. A recommendation engine is frequently referred to as a technology that distinguishes and delivers information or suggestions for various employees. For example, mobile apps, and other technological advancements continue to transmute consumers' interests and they use basic information.

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Market Scope:

The "Global Recommendation Engine Market Analysis" is a detailed investigation of the Recommendation Engine market, with a focus on global market trends and analysis. The goal of this research is to provide an overview of the Recommendation Engine market as well as detailed market segmentation by application, end-use, and geography. The Recommendation Engine market is expected to develop substantially over the forecast period. The study contains critical information on the market positions of the leading Recommendation Engine players, as well as noteworthy industry trends and opportunities.

The research method used to assess and anticipate the Recommendation Engine market begins with secondary research using sources that collect revenue data from key suppliers. When calculating market segment estimation, the vendor offerings are also considered. Using the bottom-up method, the whole size of the Recommendation Engine market was calculated using the revenue of significant enterprises.

Segmentation: 

by Type

• Hybrid Recommendation
• Collaborative Filtering
• Content-Based Filtering

The market is divided into three types: collaborative filtering, content-based filtering, and hybrid recommendation. Through the forecast period, the Hybrid Recommendation category is anticipated to expand at a CAGR of 6.3%. In comparison to pure collaborative and material methods, hybrid approaches can offer more accurate approximations. They also address problems that are typical to recommendation systems, such as cold start and data scarcity. Hybrid recommender systems use two or more recommendation techniques to improve performance. Collaborative purification is frequently used with another performance to overwhelm the ramp-up issue.

by End-User

• BFSI
• Healthcare
• Retail
• Transportation
• Media & Entertainment

The market is divided into BFSI, Healthcare, Retail, Transportation, and Media & Entertainment based on end users. In 2021, the Retail sector had the highest market share (42%). By using AI-powered recommendation engines, this market uses reference engines to gain advantages like increased revenue and client retention. The National Retail Federation predicts that despite threats from the ongoing trade war, a volatile stock market, and the implications of the government shutdown, retail sales in the United States would increase by 3.7% to 4.6% in 2021 to reach more than $3.75 trillion. Given how extensively the retail industry uses recommendation engines, this growth will help the market for these tools to flourish.

by Deployment Mode

• On-Premises
• Cloud

by Application

• Proactive Asset Management
• Personalized Campaigns & Customer Discovery
• Strategy & Operation Planning
• Product Planning

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Key Players:

The major players covered in the Recommendation Engine market report are

• Salesforce
• HPE
• AWS
• Oracle Corporation
• Intel
• Google
• IBM
• Microsoft
• Sentient Technologies
• SAP
• Fuzzy.AI
• Infinite Analytics
• Adobe Inc.
• Amazon Web Services, Inc.
• Dynamic Yield, Inc.
• Evergage Inc.

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1. Recommendation Engine Market: Research Methodology

2. Recommendation Engine Market: Executive Summary

• Market Overview and Definitions
• Introduction to Recommendation Engine Market
• Summary
• Key Findings
• Recommendations for Investors
• Recommendations for Market Leaders
• Recommendations for New Market Entry

3. Recommendation Engine Market: Competitive Analysis

• MMR Competition Matrix
• Market Structure by region
• Competitive Benchmarking of Key Players
• Consolidation in the Market
• M&A by region
• Key Developments by Companies
• Market Drivers
• Market Restraints
• Market Opportunities
• Market Challenges
• Market Dynamics
• PORTERS Five Forces Analysis
• PESTLE
• Regulatory Landscape by region
• North America
• Europe
• Asia Pacific
• Middle East and Africa
• South America
• COVID-19 Impact 

4. Recommendation Engine Market Segmentation

• Recommendation Engine Market, by Type (2022-2029)
• Recommendation Engine Market, by Deployment Mode (2022-2029)
• Recommendation Engine Market, by Application (2022-2029)
• Recommendation Engine Market, by End-User (2022-2029)

5. Regional Residential Roofing Market(2022-2029)

• Regional Residential Roofing Market, by Type (2022-2029)
• Regional Residential Roofing Market, by Deployment Mode (2022-2029)
• Regional Residential Roofing Market, by Application (2022-2029)
• Regional Residential Roofing Market, by End-User (2022-2029)
• Regional Residential Roofing Market, by Country (2022-2029)

6. Company Profile: Key players

• Company Overview
• Financial Overview
• Global Presence
• Capacity Portfolio
• Business Strategy
• Recent Developments

Regional Analysis:

Global, North America, Europe, Asia-Pacific, the Middle East, Africa, and South America market share statistics are accessible individually. Analysts at Maximize evaluate competitive strengths and conduct competitive analysis for each competitor individually.

COVID-19 Impact Analysis on Recommendation Engine Market:

Aerospace and defense, agriculture, automobiles, retail and e-commerce, energy and power, healthcare, packaging, mining, electronics, banking, financial services, and insurance, among other industries, have all been affected by the COVID-19 outbreak. COVID-19 has had an impact on the Recommendation Engine market in general, as well as the growth rate in 2019-2020, as the impact of COVID-19 spread. Our most recent inquiry, opinions, and bits of knowledge on the market are critical to the businesses and associations in the Recommendation Engine industry, 

Key Questions Answered in the Recommendation Engine Market Report are: 

• Which segment grabbed the largest share in the Recommendation Engine market?
• What was the competitive scenario of the Recommendation Engine market in 2021?
• Which are the key factors responsible for the Recommendation Engine market growth?
• Which region held the maximum share in the Recommendation Engine market in 2021?