According to our (Global Info Research) latest study, 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% 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 & 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. Key Features: Global Recommendation Engine market size and forecasts, in consumption value ($ Million), 2018-2029 Global Recommendation Engine market size and forecasts by region and country, in consumption value ($ Million), 2018-2029 Global Recommendation Engine market size and forecasts, by Type and by Application, in consumption value ($ Million), 2018-2029 Global Recommendation Engine market shares of main players, in revenue ($ 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. Key companies covered as a part of this study include IBM, Google, AWS, Microsoft and Salesforce, etc. This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals, COVID-19 and Russia-Ukraine War Influence. 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 consumption value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets. Market segment by Type Collaborative Filtering Content-based Filtering Hybrid Recommendation Market segment by Application Manufacturing Healthcare BFSI Media and entertainment Transportation Others Market segment by players, this report covers IBM Google AWS Microsoft Salesforce Sentient Technologies HPE Oracle Intel SAP Fuzzy.AI Infinite Analytics Market segment by regions, regional analysis covers North America (United States, Canada, and Mexico) Europe (Germany, France, UK, Russia, Italy, and Rest of Europe) Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific) South America (Brazil, Argentina and Rest of South America) Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa) The content of the study subjects, includes a total of 13 chapters: Chapter 1, to describe Recommendation Engine product scope, market overview, market estimation caveats and base year. Chapter 2, to profile the top players of Recommendation Engine, with revenue, gross margin and global market share of Recommendation Engine from 2018 to 2023. Chapter 3, the Recommendation Engine competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast. Chapter 4 and 5, to segment the market size by Type and application, with consumption value and growth rate by Type, application, from 2018 to 2029. Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2018 to 2023.and Recommendation Engine market forecast, by regions, type and application, with consumption value, from 2024 to 2029. Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis, and Influence of COVID-19 and Russia-Ukraine War Chapter 12, the key raw materials and key suppliers, and industry chain of Recommendation Engine. Chapter 13, to describe Recommendation Engine research findings and conclusion.
1 Market Overview 1.1 Product Overview and Scope of Recommendation Engine 1.2 Market Estimation Caveats and Base Year 1.3 Classification of Recommendation Engine by Type 1.3.1 Overview: Global Recommendation Engine Market Size by Type: 2018 Versus 2022 Versus 2029 1.3.2 Global Recommendation Engine Consumption Value Market Share by Type in 2022 1.3.3 Collaborati
