Global Recommendation Engine Market Comprehensive Research Report 2023 | Latest Trends, Key Players, Opportunities, Risks Factors Analysis and Forecast to 2029

PRESS RELEASE
Published February 3, 2023

Recommendation Engine Market Analysis 2023-2029 | Segmented by Major Key Players (IBM, Google, AWS, Microsoft, Salesforce, Sentient Technologies, HPE, Oracle, Intel, SAP, Fuzzy.AI, Infinite Analytics and more) Research Report by Absolute Reports

"Final Report will add the analysis of the impact of COVID-19 on this industry."

Global “Recommendation Engine Market” research gives data of drive consolidations and securing procedures to grow market share and size for forecast period of 2023-2029. Report additionally furnishing industrial business with various boundaries like trend, future challenges, industry players, with geographical regions, segmentations. This report means to give a far reaching show of the worldwide market for Recommendation Engine Market, with both quantitative and qualitative analysis, to help readers develop business growth, SWOT analysis, assess the market competitive situation and current trends.

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Market Analysis and Insights: Global Recommendation Engine Market

The global Recommendation Engine market size was valued at USD 2200.2 million in 2022 and is forecast to a readjusted size of USD 15360 million by 2029 with a CAGR of 32.0 percentage during review period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
This report is a detailed and comprehensive analysis for global Recommendation Engine market. Both quantitative and qualitative analyses are presented by company, by region and country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2023, are provided.

Market segmentation

Recommendation Engine market is split by Type and by Application. For the period 2018-2029, the growth among segments provide accurate calculations and forecasts for sales by Type and by Application in terms of volume and value. This analysis can help you expand your business by targeting qualified niche markets.

The major players covered in the Recommendation Engine market report are:

  • IBM
  • Google
  • AWS
  • Microsoft
  • Salesforce
  • Sentient Technologies
  • HPE
  • Oracle
  • Intel
  • SAP
  • Fuzzy.AI
  • Infinite Analytics

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Market segment by Type, covers

  • Collaborative Filtering
  • Content-based Filtering
  • Hybrid Recommendation

Market segment by Application can be divided into

  • Manufacturing
  • Healthcare
  • BFSI
  • Media and entertainment
  • Transportation
  • Others

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Market segment by region, regional analysis covers

  • North America (United States, Canada and Mexico)
  • Europe (Germany, France, United Kingdom, Russia, Italy, and Rest of Europe)
  • Asia-Pacific (China, Japan, Korea, India, Southeast Asia, and Australia)
  • South America (Brazil, Argentina, Colombia, and Rest of South America)
  • Middle East and Africa (Saudi Arabia, UAE, Egypt, South Africa, and Rest of Middle East and Africa)

Key Features of Recommendation Engine Market:

  • Global Recommendation Engine market size and forecasts, in consumption value (USD Million), 2018-2029
  • Global Recommendation Engine market size and forecasts by region and country, in consumption value (USD Million), 2018-2029
  • Global Recommendation Engine market size and forecasts, by Type and by Application, in consumption value (USD Million), 2018-2029
  • Global Recommendation Engine market shares of main players, in revenue (USD Million), 2018-2023

The Primary Objectives in This Report Are:

  • To determine the size of the total market opportunity of global and key countries
  • To assess the growth potential for Recommendation Engine
  • To forecast future growth in each product and end-use market
  • To assess competitive factors affecting the marketplace
  • This report profiles key players in the global Recommendation Engine market based on the following parameters - company overview, production, value, price, gross margin, product portfolio, geographical presence, and key developments.
  • This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals, COVID-19 and Russia-Ukraine War Influence.

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The content of the study subjects, includes a total of 15 chapters:

Chapter 1, to describe Recommendation Engine product scope, market overview, market estimation caveats and base year.

Chapter 2, to profile the top manufacturers of Recommendation Engine, with price, sales, revenue and global market share of Recommendation Engine from 2018 to 2023.

Chapter 3, the Recommendation Engine competitive situation, sales quantity, revenue and global market share of top manufacturers are analyzed emphatically by landscape contrast.

Chapter 4, the Recommendation Engine breakdown data are shown at the regional level, to show the sales quantity, consumption value and growth by regions, from 2018 to 2029.

Chapter 5 and 6, to segment the sales by Type and application, with sales market share and growth rate by type, application, from 2018 to 2029.

Chapter 7, 8, 9, 10 and 11, to break the sales data at the country level, with sales quantity, consumption value and market share for key countries in the world, from 2017 to 2022.and Recommendation Engine market forecast, by regions, type and application, with sales and revenue, from 2024 to 2029.

Chapter 12, market dynamics, drivers, restraints, trends, Porters Five Forces analysis, and Influence of COVID-19 and Russia-Ukraine War.

Chapter 13, the key raw materials and key suppliers, and industry chain of Recommendation Engine.

Chapter 14 and 15, to describe Recommendation Engine sales channel, distributors, customers, research findings and conclusion.

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Detailed TOC of Global Recommendation Engine Market 2023 by Manufacturers, Regions, Typeand Application, Forecast to 2029

1 Market Overview

1.1 Product Overview and Scope of Recommendation Engine

1.2 Market Estimation Caveats and Base Year

1.3 Market Analysis by Type

1.3.1 Overview: Global Recommendation Engine Consumption Value by Type: 2018 Versus 2022 Versus 2029

1.4 Market Analysis by Application

1.4.1 Overview: Global Recommendation Engine Consumption Value by Application: 2018 Versus 2022 Versus 2029

1.5 Global Recommendation Engine Market Size and Forecast

1.5.1 Global Recommendation Engine Consumption Value (2018 and 2022 and 2029)

1.5.2 Global Recommendation Engine Sales Quantity (2018-2029)

1.5.3 Global Recommendation Engine Average Price (2018-2029)

2 Manufacturers Profiles

2.1 Manufacture 1

2.1.1 Manufacture 1 Details

2.1.2 Manufacture 1 Major Business

2.1.3 Manufacture 1 Recommendation Engine Product and Services

2.1.4 Manufacture 1 Recommendation Engine Sales Quantity, Average Price, Revenue, Gross Margin and Market Share (2018-2023)

2.1.5 Manufacture 1 Recent Developments/Updates

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3 Competitive Environment: Recommendation Engine by Manufacturer

3.1 Global Recommendation Engine Sales Quantity by Manufacturer (2018-2023)

3.2 Global Recommendation Engine Revenue by Manufacturer (2018-2023)

3.3 Global Recommendation Engine Average Price by Manufacturer (2018-2023)

3.4 Market Share Analysis (2022)

3.4.1 Producer Shipments of Recommendation Engine by Manufacturer Revenue (USD MM) and Market Share (percentage): 2022

3.4.2 Top 3 Recommendation Engine Manufacturer Market Share in 2022

3.4.2 Top 6 Recommendation Engine Manufacturer Market Share in 2022

3.5 Recommendation Engine Market: Overall Company Footprint Analysis

3.5.1 Recommendation Engine Market: Region Footprint

3.5.2 Recommendation Engine Market: Company Product Type Footprint

3.5.3 Recommendation Engine Market: Company Product Application Footprint

3.6 New Market Entrants and Barriers to Market Entry

3.7 Mergers, Acquisition, Agreements, and Collaborations

4 Consumption Analysis by Region

4.1 Global Recommendation Engine Market Size by Region

4.1.1 Global Sales Quantity by Region (2018-2029)

4.1.2 Global Consumption Value by Region (2018-2029)

4.1.3 Global Average Price by Region (2018-2029)

4.2 North America Consumption Value (2018-2029)

4.3 Europe Consumption Value (2018-2029)

4.4 Asia-Pacific Consumption Value (2018-2029)

4.5 South America Consumption Value (2018-2029)

4.6 Middle East and Africa Consumption Value (2018-2029)

5 Market Segment by Type

5.1 Global Recommendation Engine Sales Quantity by Type (2018-2029)

5.2 Global Recommendation Engine Consumption Value by Type (2018-2029)

5.3 Global Recommendation Engine Average Price by Type (2018-2029)

6 Market Segment by Application

6.1 Global Recommendation Engine Sales Quantity by Application (2018-2029)

6.2 Global Recommendation Engine Consumption Value by Application (2018-2029)

6.3 Global Recommendation Engine Average Price by Application (2018-2029)

7 North America

7.1 North America Recommendation Engine Sales Quantity by Type (2018-2029)

7.2 North America Sales Quantity by Application (2018-2029)

7.3 North America Market Size by Country

7.3.1 North America Sales Quantity by Country (2018-2029)

7.3.2 North America Consumption Value by Country (2018-2029)

7.3.3 United States Market Size and Forecast (2018-2029)

7.3.4 Canada Market Size and Forecast (2018-2029)

7.3.5 Mexico Market Size and Forecast (2018-2029)

8 Europe

8.1 Europe Recommendation Engine Sales Quantity by Type (2018-2029)

8.2 Europe Sales Quantity by Application (2018-2029)

8.3 Europe Market Size by Country

8.3.1 Europe Sales Quantity by Country (2018-2029)

8.3.2 Europe Consumption Value by Country (2018-2029)

8.3.3 Germany Market Size and Forecast (2018-2029)

8.3.4 France Market Size and Forecast (2018-2029)

8.3.5 United Kingdom Market Size and Forecast (2018-2029)

8.3.6 Russia Market Size and Forecast (2018-2029)

8.3.7 Italy Market Size and Forecast (2018-2029)

12.1 Recommendation Engine Market Drivers

12.2 Recommendation Engine Market Restraints

12.3 Recommendation Engine Trends Analysis

12.4 Porters Five Forces Analysis

12.4.1 Threat of New Entrants

12.4.2 Bargaining Power of Suppliers

12.4.3 Bargaining Power of Buyers

12.4.4 Threat of Substitutes

12.4.5 Competitive Rivalry

12.5 Influence of COVID-19 and Russia-Ukraine War

12.5.1 Influence of COVID-19

12.5.2 Influence of Russia-Ukraine War

13 Raw Material and Industry Chain

13.1 Raw Material of Recommendation Engine and Key Manufacturers

13.2 Manufacturing Costs Percentage of Recommendation Engine

13.3 Recommendation Engine Production Process

13.4 Recommendation Engine Industrial Chain

14 Shipments by Distribution Channel

14.1 Sales Channel

14.1.1 Direct to End-User

14.1.2 Distributors

14.2 Recommendation Engine Typical Distributors

14.3 Recommendation Engine Typical Customers

15 Research Findings and Conclusion

16 Appendix

16.1 Methodology

16.2 Research Process and Data Source

16.3 Disclaimer

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