Global Recommendation Engine Market Research Report 2023

Publication ID:

PB502232474

Publication Date:

February 1, 2023

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

Internet [2]

Computing & Electronics [3]

Description:

Highlights
The global Recommendation Engine market was valued at US$ 2944.5 million in 2022 and is anticipated to reach US$ 16620 million by 2029, witnessing a CAGR of 33.4% during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
North American market for Recommendation Engine is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
Asia-Pacific market for Recommendation Engine is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The global market for Recommendation Engine in Manufacturing is estimated to increase from $ million in 2023 to $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The key global companies of Recommendation Engine include IBM, Google, AWS, Microsoft, Salesforce, Sentient Technologies, HPE, Oracle and Intel, etc. In 2022, the world's top three vendors accounted for approximately % of the revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Recommendation Engine, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Recommendation Engine.
The Recommendation Engine market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global Recommendation Engine market comprehensively. Regional market sizes, concerning products by type, by application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Recommendation Engine companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by type, by application, and by regions.
By Company
IBM
Google
AWS
Microsoft
Salesforce
Sentient Technologies
HPE
Oracle
Intel
SAP
Fuzzy.AI
Infinite Analytics
Segment by Type
Collaborative Filtering
Content-based Filtering
Hybrid Recommendation
Segment by Application
Manufacturing
Healthcare
BFSI
Media and entertainment
Transportation
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Core Chapters
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Recommendation Engine companies鈥� competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the key companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Recommendation Engine Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Collaborative Filtering
1.2.3 Content-based Filtering
1.2.4 Hybrid Recommendation
1.3 Market by Application
1.3.1 Global Recommendation Engine Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Manufacturing
1.3.3 Healthcare
1.3.4 BFSI
1.3.5 Media and entertainment
1.3.6 Transportation
1.3.7 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Recommendation Engine Market Perspective (2018-2029)
2.2 Recommendation Engine Growth Trends by Region
2.2.1 Global Recommendation Engine Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 Recommendation Engine Historic Market Size by Region (2018-2023)
2.2.3 Recommendation Engine Forecasted Market Size by Region (2024-2029)
2.3 Recommendation Engine Market Dynamics
2.3.1 Recommendation Engine Industry Trends
2.3.2 Recommendation Engine Market Drivers
2.3.3 Recommendation Engine Market Challenges
2.3.4 Recommendation Engine Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Recommendation Engine Players by Revenue
3.1.1 Global Top Recommendation Engine Players by Revenue (2018-2023)
3.1.2 Global Recommendation Engine Revenue Market Share by Players (2018-2023)
3.2 Global Recommendation Engine Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Recommendation Engine Revenue
3.4 Global Recommendation Engine Market Concentration Ratio
3.4.1 Global Recommendation Engine Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Recommendation Engine Revenue in 2022
3.5 Recommendation Engine Key Players Head office and Area Served
3.6 Key Players Recommendation Engine Product Solution and Service
3.7 Date of Enter into Recommendation Engine Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Recommendation Engine Breakdown Data by Type
4.1 Global Recommendation Engine Historic Market Size by Type (2018-2023)
4.2 Global Recommendation Engine Forecasted Market Size by Type (2024-2029)
5 Recommendation Engine Breakdown Data by Application
5.1 Global Recommendation Engine Historic Market Size by Application (2018-2023)
5.2 Global Recommendation Engine Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America Recommendation Engine Market Size (2018-2029)
6.2 North America Recommendation Engine Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Recommendation Engine Market Size by Country (2018-2023)
6.4 North America Recommendation Engine Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Recommendation Engine Market Size (2018-2029)
7.2 Europe Recommendation Engine Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Recommendation Engine Market Size by Country (2018-2023)
7.4 Europe Recommendation Engine Market Size by Country (2024-2029)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Recommendation Engine Market Size (2018-2029)
8.2 Asia-Pacific Recommendation Engine Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Recommendation Engine Market Size by Region (2018-2023)
8.4 Asia-Pacific Recommendation Engine Market Size by Region (2024-2029)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Recommendation Engine Market Size (2018-2029)
9.2 Latin America Recommendation Engine Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Recommendation Engine Market Size by Country (2018-2023)
9.4 Latin America Recommendation Engine Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Recommendation Engine Market Size (2018-2029)
10.2 Middle East & Africa Recommendation Engine Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Recommendation Engine Market Size by Country (2018-2023)
10.4 Middle East & Africa Recommendation Engine Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 IBM
11.1.1 IBM Company Detail
11.1.2 IBM Business Overview
11.1.3 IBM Recommendation Engine Introduction
11.1.4 IBM Revenue in Recommendation Engine Business (2018-2023)
11.1.5 IBM Recent Development
11.2 Google
11.2.1 Google Company Detail
11.2.2 Google Business Overview
11.2.3 Google Recommendation Engine Introduction
11.2.4 Google Revenue in Recommendation Engine Business (2018-2023)
11.2.5 Google Recent Development
11.3 AWS
11.3.1 AWS Company Detail
11.3.2 AWS Business Overview
11.3.3 AWS Recommendation Engine Introduction
11.3.4 AWS Revenue in Recommendation Engine Business (2018-2023)
11.3.5 AWS Recent Development
11.4 Microsoft
11.4.1 Microsoft Company Detail
11.4.2 Microsoft Business Overview
11.4.3 Microsoft Recommendation Engine Introduction
11.4.4 Microsoft Revenue in Recommendation Engine Business (2018-2023)
11.4.5 Microsoft Recent Development
11.5 Salesforce
11.5.1 Salesforce Company Detail
11.5.2 Salesforce Business Overview
11.5.3 Salesforce Recommendation Engine Introduction
11.5.4 Salesforce Revenue in Recommendation Engine Business (2018-2023)
11.5.5 Salesforce Recent Development
11.6 Sentient Technologies
11.6.1 Sentient Technologies Company Detail
11.6.2 Sentient Technologies Business Overview
11.6.3 Sentient Technologies Recommendation Engine Introduction
11.6.4 Sentient Technologies Revenue in Recommendation Engine Business (2018-2023)
11.6.5 Sentient Technologies Recent Development
11.7 HPE
11.7.1 HPE Company Detail
11.7.2 HPE Business Overview
11.7.3 HPE Recommendation Engine Introduction
11.7.4 HPE Revenue in Recommendation Engine Business (2018-2023)
11.7.5 HPE Recent Development
11.8 Oracle
11.8.1 Oracle Company Detail
11.8.2 Oracle Business Overview
11.8.3 Oracle Recommendation Engine Introduction
11.8.4 Oracle Revenue in Recommendation Engine Business (2018-2023)
11.8.5 Oracle Recent Development
11.9 Intel
11.9.1 Intel Company Detail
11.9.2 Intel Business Overview
11.9.3 Intel Recommendation Engine Introduction
11.9.4 Intel Revenue in Recommendation Engine Business (2018-2023)
11.9.5 Intel Recent Development
11.10 SAP
11.10.1 SAP Company Detail
11.10.2 SAP Business Overview
11.10.3 SAP Recommendation Engine Introduction
11.10.4 SAP Revenue in Recommendation Engine Business (2018-2023)
11.10.5 SAP Recent Development
11.11 Fuzzy.AI
11.11.1 Fuzzy.AI Company Detail
11.11.2 Fuzzy.AI Business Overview
11.11.3 Fuzzy.AI Recommendation Engine Introduction
11.11.4 Fuzzy.AI Revenue in Recommendation Engine Business (2018-2023)
11.11.5 Fuzzy.AI Recent Development
11.12 Infinite Analytics
11.12.1 Infinite Analytics Company Detail
11.12.2 Infinite Analytics Business Overview
11.12.3 Infinite Analytics Recommendation Engine Introduction
11.12.4 Infinite Analytics Revenue in Recommendation Engine Business (2018-2023)
11.12.5 Infinite Analytics Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details

Companies Mentioned:

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

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