Recommendation Engine market is expected to be worth US$ 4.10 billion in 2022. Recommendation Engine Market is estimated to grow at a CAGR of 39.2% over the forecast period.Global Recommendation Engine Market Overview:
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. The recommendation engine is an important constituent of many ICT applications and software resolutions. E-commerce, social media, and content-based websites are all used for recommendation engines. The recommendation engine delivers a historical overview of the user's meetings with the engine to improve a personal profile. Recommending media stories based on media surfing is good and desirable to the consumer which is also suggested music, films, and products from various sites based upon his viewing history.To know about the Research Methodology :- Request Free Sample Report 2022 is considered as a base year to forecast the market from 2023 to 2029. 2022’s market size is estimated on real numbers and outputs of the key players and major players across the globe. Past five years' trends are considered while forecasting the market through 2029. 2021 is a year of exception and analysis, especially with the impact of lockdown by region.
Recommendation Engine Market Dynamics:
The rate of digitalization is increasing and manufacturers are also focusing on advanced technology: Several firms are endeavouring to integrate technologies such as artificial intelligence (AI) with their apps, businesses, analytics, and amenities as the number of businesses grows and also competition propagates. The majority of firms are pursuing digital transformation, fascinated by improving customer and employee experiences through automation technologies which are fuelling the growth of the market. Online buying has improved as a result of the growth of digitization and the appearance of new e-commerce platforms. These recommendation engines enable laid-back browsing and display products or information based on the customer's past search. In addition, mobile phone ownership is also contributing to e-commerce development and encouraging e-commerce platforms to use recommendation engines which are considered as a major factor for driving the growth of the recommendation engine market. The safety of customer information is critical: Consumers can attain more credible responses if a recommendation engine prevents more personal information. The recommender may achieve evidence such as the user's documentation, demographic profile, behavioural data, past purchases, ranking history, and many more. These details could be predominantly sensitive to issues of privacy. Providing this evidence to the recommender in plain sight could pose unbearable privacy issues. The data could be sold to a facility provider without the client's authorization, or it could be taken by unwavering attackers. In 2018, web-based attacks were the focus of 65% of enterprises which is a major restraining factor for the recommendation engine market. Manufacturers are concentrating on increasing client satisfaction: The increased focus on refining customer satisfaction is a primary factor subsidizing the growth of demand for recommendation engines. In addition, it is dangerous to recover consumer experience to upsurge customer engagement and retention, as well as revenue and return on investment (RoI). Upselling potentials arise naturally and logically as a result of effective product suggestions. Customers express interest via their behaviour and experiences, and the product recommendation engine associates the behaviour with the appropriate recommendations instantaneously. Small transactions will grow in size, and clients who were formerly undecided about making a purchase will now be eager to do so into the market. Customized recommendations, for example, account for 31% of e-commerce site revenue, and Amazon's recommendation engine accounts for over 36% of its revenue. Key Market Trends in Recommendation Engine Market: Manufacturers may now obtain huge volumes of geolocation data thanks to technological advancements. The problem is appropriately analyzing this data and merging it with prevailing consumer intelligence in positioned close to enhance the efficiency of the marketing efforts and deliver manageable and relevant products and rewards for better ROI. The IT and telecommunications industry is expected to increase through the forecast period. The high degree of social media implementation, together with the accumulative focus of firms in this end-use industry on making investments and activities to progress service and promote customer retention, may accelerate market development. With the usage of machine learning and artificial intelligence technologies, the IT industry is progressively implementing recommendation engines to construct product recommendation chatbots. Gnaniai delivers tailored suggestion chatbots constructed on the user's inclinations and chats history.Competitive Landscape in Recommendation Engine Market:
Manufacturers in the Recommendation Engine market use key enterprises and also include technological launches, expansion, and R&D. In 2022, the Recommendation Engine market was disjointed, with the top five companies contributing 35% of the market share. IBM, SAP, Oracle, Microsoft, Salesforce, HPE Google, Intel, and Sentient Technologies are the prominent vendors in the AI-based recommendation engine industry.Recommendation Engine Market Segment Analysis:
By Type, the market is segmented into Hybrid Recommendation, Collaborative Filtering, and Content-Based Filtering. The Hybrid Recommendation segment is expected to grow at a CAGR of 6.3% through the forecast period. Hybrid approaches can provide more precise approximations than pure collaboration and material methods. They also deal with challenges like cold start and data scarcity that are common in recommendation systems. To increase performance, hybrid recommender systems syndicate two or more recommendation methods. To overwhelm the ramp-up problem, collaborative purifying is frequently paired with another performance.By End User, the market is segmented into BFSI, Healthcare, Retail, Transportation, Media & Entertainment. The Retail segment held the largest market share accounting for 42% in 2022. This segment employs AI-powered reference engines to reap benefits such as improved client retention and revenue through the use of AI-powered recommendation engines. The National Retail Federation forecasts that retail sales in the United States would climb between 3.7% and 4.6% in 2022, to more than $3.75 trillion, although intimidations from the ongoing trade war, a volatile stock market, and the significances of the government shutdown. Since the retail sector makes considerable use of recommendation engines, this increase will assist in the development of the recommendation engine market.
Recommendation Engine Market Regional Insights:
The Asia Pacific region held the largest market share accounting for 46.2% in 2022. Numerous causes have operated the acceptance of recommendation engines among diverse end-users, comprising fast expansion of local businesses, superior technological advancements, and growth in the need to appraise client data. Increased employment of content recommendation engine platforms is projected in the Asia Pacific region owing to factors such as the development of over-the-top (OTT) players and fast digitization. Small and medium-sized businesses in the Asia Pacific have a high demand for gratified recommendation engine solutions. E-commerce has shattered in India, with an ever-increasing number of operators. Recommendation engines are used by online e-commerce podiums to offer users highly appropriate and related product data based on their search which is a major factor for driving the growth of the recommendation engine market. The objective of the report is to present a comprehensive analysis of the market to the stakeholders in the industry. The past and current status of the industry with the forecasted market size and trends are presented in the report with the analysis of complicated data in simple language. The report covers all the aspects of the industry with a dedicated study of key players that include market leaders, followers, and new entrants. PORTER, PESTEL analysis with the potential impact of micro-economic factors of the market have been presented in the report. External as well as internal factors that are supposed to affect the business positively or negatively have been analyzed, which will give a clear futuristic view of the industry to the decision-makers. The reports also help in understanding the market dynamics, structure by analyzing the market segments and projecting the market size. Clear representation of competitive analysis of key players by Technology, price, financial position, product portfolio, growth strategies, and regional presence in the market makes the report investor's guide.Recommendation Engine Market Scope: Inquiry Before Buying
Recommendation Engine Market Report Coverage Details Base Year: 2022 Forecast Period: 2023-2029 Historical Data: 2018 to 2022 Market Size in 2022: US $ 4.10 Bn. Forecast Period 2023 to 2029 CAGR: 39.2% Market Size in 2029: US $ 41.58 Bn. Segments Covered: by Type Hybrid Recommendation Collaborative Filtering Content-Based Filtering by End-User BFSI Healthcare Retail Transportation Media & Entertainment by Deployment Mode On-Premises Cloud by Application Proactive Asset Management Personalized Campaigns & Customer Discovery Strategy & Operation Planning Product Planning Recommendation Engine Market by Region
North America (United States, Canada and Mexico) Europe (UK, France, Germany, Italy, Spain, Sweden, Austria and Rest of Europe) Asia Pacific (China, South Korea, Japan, India, Australia, Indonesia, Malaysia, Vietnam, Taiwan, Bangladesh, Pakistan and Rest of APAC) Middle East and Africa (South Africa, GCC, Egypt, Nigeria and Rest of ME&A) South America (Brazil, Argentina Rest of South America)Recommendation Engine Market Key Players
1.Salesforce 2.HPE 3.AWS 4.Oracle Corporation 5.Intel 6.Google 7.IBM 8.Microsoft 9.Sentient Technologies 10.SAP 11.Fuzzy.AI 12.Infinite Analytics 13.Adobe Inc. 14.Amazon Web Services, Inc. 15.Dynamic Yield, Inc. 16.Evergage Inc. Frequently Asked Questions: 1] What segments are covered in the Recommendation Engine Market report? Ans. The segments covered in the Recommendation Engine Market report are based on Type, End-User, Deployment Mode and Application. 2] Which region is expected to hold the highest share in the Recommendation Engine Market? Ans. The Asia Pacific region is expected to hold the highest share in the Recommendation Engine Market. 3] What is the market size of the Recommendation Engine Market by 2029? Ans. The market size of the Recommendation Engine Market is expected to be 41.58 Bn. by 2029. 4] What is the forecast period for the Recommendation Engine Market? Ans. The forecast period for the Recommendation Engine Market is 2023-2029. 5] What was the market size of the Recommendation Engine market in 2022? Ans. The market size of the Recommendation Engine market in 2022 was US$ 4.10 Bn.
1. Recommendation Engine Market Introduction 1.1. Study Assumption and Market Definition 1.2. Scope of the Study 1.3. Executive Summary 2. Recommendation Engine Market: Dynamics 2.1. Recommendation Engine Market Trends by Region 2.1.1. North America Recommendation Engine Market Trends 2.1.2. Europe Recommendation Engine Market Trends 2.1.3. Asia Pacific Recommendation Engine Market Trends 2.1.4. Middle East and Africa Recommendation Engine Market Trends 2.1.5. South America Recommendation Engine Market Trends 2.2. Recommendation Engine Market Dynamics by Region 2.2.1. North America 2.2.1.1. North America Recommendation Engine Market Drivers 2.2.1.2. North America Recommendation Engine Market Restraints 2.2.1.3. North America Recommendation Engine Market Opportunities 2.2.1.4. North America Recommendation Engine Market Challenges 2.2.2. Europe 2.2.2.1. Europe Recommendation Engine Market Drivers 2.2.2.2. Europe Recommendation Engine Market Restraints 2.2.2.3. Europe Recommendation Engine Market Opportunities 2.2.2.4. Europe Recommendation Engine Market Challenges 2.2.3. Asia Pacific 2.2.3.1. Asia Pacific Recommendation Engine Market Drivers 2.2.3.2. Asia Pacific Recommendation Engine Market Restraints 2.2.3.3. Asia Pacific Recommendation Engine Market Opportunities 2.2.3.4. Asia Pacific Recommendation Engine Market Challenges 2.2.4. Middle East and Africa 2.2.4.1. Middle East and Africa Recommendation Engine Market Drivers 2.2.4.2. Middle East and Africa Recommendation Engine Market Restraints 2.2.4.3. Middle East and Africa Recommendation Engine Market Opportunities 2.2.4.4. Middle East and Africa Recommendation Engine Market Challenges 2.2.5. South America 2.2.5.1. South America Recommendation Engine Market Drivers 2.2.5.2. South America Recommendation Engine Market Restraints 2.2.5.3. South America Recommendation Engine Market Opportunities 2.2.5.4. South America Recommendation Engine Market Challenges 2.3. PORTER’s Five Forces Analysis 2.4. PESTLE Analysis 2.5. Technology Roadmap 2.6. Regulatory Landscape by Region 2.6.1. North America 2.6.2. Europe 2.6.3. Asia Pacific 2.6.4. Middle East and Africa 2.6.5. South America 2.7. Key Opinion Leader Analysis For Recommendation Engine Industry 2.8. Analysis of Government Schemes and Initiatives For Recommendation Engine Industry 2.9. Recommendation Engine Market Trade Analysis 2.10. The Global Pandemic Impact on Recommendation Engine Market 3. Recommendation Engine Market: Global Market Size and Forecast by Segmentation by Demand and Supply Side (by Value in USD Million) 2022-2029 3.1. Recommendation Engine Market Size and Forecast, by Type (2022-2029) 3.1.1. Hybrid Recommendation 3.1.2. Collaborative Filtering 3.1.3. Content-Based Filtering 3.2. Recommendation Engine Market Size and Forecast, by End User (2022-2029) 3.2.1. BFSI 3.2.2. Healthcare 3.2.3. Retail 3.2.4. Transportation 3.2.5. Media & Entertainment 3.3. Recommendation Engine Market Size and Forecast, by Deployment Mode (2022-2029) 3.3.1. On-Premises 3.3.2. Cloud 3.4. Recommendation Engine Market Size and Forecast, by Application (2022-2029) 3.4.1. Proactive Asset Management 3.4.2. Personalized Campaigns & Customer Discovery 3.4.3. Strategy & Operation Planning 3.4.4. Product Planning 3.5. Recommendation Engine Market Size and Forecast, by Region (2022-2029) 3.5.1. North America 3.5.2. Europe 3.5.3. Asia Pacific 3.5.4. Middle East and Africa 3.5.5. South America 4. North America Recommendation Engine Market Size and Forecast by Segmentation (by Value in USD Million) 2022-2029 4.1. North America Recommendation Engine Market Size and Forecast, by Type (2022-2029) 4.1.1. Hybrid Recommendation 4.1.2. Collaborative Filtering 4.1.3. Content-Based Filtering 4.2. North America Recommendation Engine Market Size and Forecast, by End User (2022-2029) 4.2.1. BFSI 4.2.2. Healthcare 4.2.3. Retail 4.2.4. Transportation 4.2.5. Media & Entertainment 4.3. North America Recommendation Engine Market Size and Forecast, by Deployment Mode (2022-2029) 4.3.1. On-Premises 4.3.2. Cloud 4.4. North America Recommendation Engine Market Size and Forecast, by Application (2022-2029) 4.4.1. Proactive Asset Management 4.4.2. Personalized Campaigns & Customer Discovery 4.4.3. Strategy & Operation Planning 4.4.4. Product Planning 4.5. North America Recommendation Engine Market Size and Forecast, by Country (2022-2029) 4.5.1. United States 4.5.1.1. United States Recommendation Engine Market Size and Forecast, by Type (2022-2029) 4.5.1.1.1. Hybrid Recommendation 4.5.1.1.2. Collaborative Filtering 4.5.1.1.3. Content-Based Filtering 4.5.1.2. United States Recommendation Engine Market Size and Forecast, by End User (2022-2029) 4.5.1.2.1. BFSI 4.5.1.2.2. Healthcare 4.5.1.2.3. Retail 4.5.1.2.4. Transportation 4.5.1.2.5. Media & Entertainment 4.5.1.3. United States Recommendation Engine Market Size and Forecast, by Deployment Mode (2022-2029) 4.5.1.3.1. On-Premises 4.5.1.3.2. Cloud 4.5.1.4. United States Recommendation Engine Market Size and Forecast, by Application (2022-2029) 4.5.1.4.1. Proactive Asset Management 4.5.1.4.2. Personalized Campaigns & Customer Discovery 4.5.1.4.3. Strategy & Operation Planning 4.5.1.4.4. Product Planning 4.5.2. Canada 4.5.2.1. Canada Recommendation Engine Market Size and Forecast, by Type (2022-2029) 4.5.2.1.1. Hybrid Recommendation 4.5.2.1.2. Collaborative Filtering 4.5.2.1.3. Content-Based Filtering 4.5.2.2. Canada Recommendation Engine Market Size and Forecast, by End User (2022-2029) 4.5.2.2.1. BFSI 4.5.2.2.2. Healthcare 4.5.2.2.3. Retail 4.5.2.2.4. Transportation 4.5.2.2.5. Media & Entertainment 4.5.2.3. Canada Recommendation Engine Market Size and Forecast, by Deployment Mode (2022-2029) 4.5.2.3.1. On-Premises 4.5.2.3.2. Cloud 4.5.2.4. Canada Recommendation Engine Market Size and Forecast, by Application (2022-2029) 4.5.2.4.1. Proactive Asset Management 4.5.2.4.2. Personalized Campaigns & Customer Discovery 4.5.2.4.3. Strategy & Operation Planning 4.5.2.4.4. Product Planning 4.5.3. Mexico 4.5.3.1. Mexico Recommendation Engine Market Size and Forecast, by Type (2022-2029) 4.5.3.1.1. Hybrid Recommendation 4.5.3.1.2. Collaborative Filtering 4.5.3.1.3. Content-Based Filtering 4.5.3.2. Mexico Recommendation Engine Market Size and Forecast, by End User (2022-2029) 4.5.3.2.1. BFSI 4.5.3.2.2. Healthcare 4.5.3.2.3. Retail 4.5.3.2.4. Transportation 4.5.3.2.5. Media & Entertainment 4.5.3.3. Mexico Recommendation Engine Market Size and Forecast, by Deployment Mode (2022-2029) 4.5.3.3.1. On-Premises 4.5.3.3.2. Cloud 4.5.3.4. Mexico Recommendation Engine Market Size and Forecast, by Application (2022-2029) 4.5.3.4.1. Proactive Asset Management 4.5.3.4.2. Personalized Campaigns & Customer Discovery 4.5.3.4.3. Strategy & Operation Planning 4.5.3.4.4. Product Planning 5. Europe Recommendation Engine Market Size and Forecast by Segmentation (by Value in USD Million) 2022-2029 5.1. Europe Recommendation Engine Market Size and Forecast, by Type (2022-2029) 5.2. Europe Recommendation Engine Market Size and Forecast, by End User (2022-2029) 5.3. Europe Recommendation Engine Market Size and Forecast, by Deployment Mode (2022-2029) 5.4. Europe Recommendation Engine Market Size and Forecast, by Application (2022-2029) 5.5. Europe Recommendation Engine Market Size and Forecast, by Country (2022-2029) 5.5.1. United Kingdom 5.5.1.1. United Kingdom Recommendation Engine Market Size and Forecast, by Type (2022-2029) 5.5.1.2. United Kingdom Recommendation Engine Market Size and Forecast, by End User (2022-2029) 5.5.1.3. United Kingdom Recommendation Engine Market Size and Forecast, by Deployment Mode(2022-2029) 5.5.1.4. United Kingdom Recommendation Engine Market Size and Forecast, by Application (2022-2029) 5.5.2. France 5.5.2.1. France Recommendation Engine Market Size and Forecast, by Type (2022-2029) 5.5.2.2. France Recommendation Engine Market Size and Forecast, by End User (2022-2029) 5.5.2.3. France Recommendation Engine Market Size and Forecast, by Deployment Mode(2022-2029) 5.5.2.4. France Recommendation Engine Market Size and Forecast, by Application (2022-2029) 5.5.3. Germany 5.5.3.1. Germany Recommendation Engine Market Size and Forecast, by Type (2022-2029) 5.5.3.2. Germany Recommendation Engine Market Size and Forecast, by End User (2022-2029) 5.5.3.3. Germany Recommendation Engine Market Size and Forecast, by Deployment Mode (2022-2029) 5.5.3.4. Germany Recommendation Engine Market Size and Forecast, by Application (2022-2029) 5.5.4. Italy 5.5.4.1. Italy Recommendation Engine Market Size and Forecast, by Type (2022-2029) 5.5.4.2. Italy Recommendation Engine Market Size and Forecast, by End User (2022-2029) 5.5.4.3. Italy Recommendation Engine Market Size and Forecast, by Deployment Mode(2022-2029) 5.5.4.4. Italy Recommendation Engine Market Size and Forecast, by Application (2022-2029) 5.5.5. Spain 5.5.5.1. Spain Recommendation Engine Market Size and Forecast, by Type (2022-2029) 5.5.5.2. Spain Recommendation Engine Market Size and Forecast, by End User (2022-2029) 5.5.5.3. Spain Recommendation Engine Market Size and Forecast, by Deployment Mode (2022-2029) 5.5.5.4. Spain Recommendation Engine Market Size and Forecast, by Application (2022-2029) 5.5.6. Sweden 5.5.6.1. Sweden Recommendation Engine Market Size and Forecast, by Type (2022-2029) 5.5.6.2. Sweden Recommendation Engine Market Size and Forecast, by End User (2022-2029) 5.5.6.3. Sweden Recommendation Engine Market Size and Forecast, by Deployment Mode (2022-2029) 5.5.6.4. Sweden Recommendation Engine Market Size and Forecast, by Application (2022-2029) 5.5.7. Austria 5.5.7.1. Austria Recommendation Engine Market Size and Forecast, by Type (2022-2029) 5.5.7.2. Austria Recommendation Engine Market Size and Forecast, by End User (2022-2029) 5.5.7.3. Austria Recommendation Engine Market Size and Forecast, by Deployment Mode (2022-2029) 5.5.7.4. Austria Recommendation Engine Market Size and Forecast, by Application (2022-2029) 5.5.8. Rest of Europe 5.5.8.1. Rest of Europe Recommendation Engine Market Size and Forecast, by Type (2022-2029) 5.5.8.2. Rest of Europe Recommendation Engine Market Size and Forecast, by End User (2022-2029) 5.5.8.3. Rest of Europe Recommendation Engine Market Size and Forecast, by Deployment Mode (2022-2029) 5.5.8.4. Rest of Europe Recommendation Engine Market Size and Forecast, by Application (2022-2029) 6. Asia Pacific Recommendation Engine Market Size and Forecast by Segmentation (by Value in USD Million) 2022-2029 6.1. Asia Pacific Recommendation Engine Market Size and Forecast, by Type (2022-2029) 6.2. Asia Pacific Recommendation Engine Market Size and Forecast, by End User (2022-2029) 6.3. Asia Pacific Recommendation Engine Market Size and Forecast, by Deployment Mode (2022-2029) 6.4. Asia Pacific Recommendation Engine Market Size and Forecast, by Application (2022-2029) 6.5. Asia Pacific Recommendation Engine Market Size and Forecast, by Country (2022-2029) 6.5.1. China 6.5.1.1. China Recommendation Engine Market Size and Forecast, by Type (2022-2029) 6.5.1.2. China Recommendation Engine Market Size and Forecast, by End User (2022-2029) 6.5.1.3. China Recommendation Engine Market Size and Forecast, by Deployment Mode (2022-2029) 6.5.1.4. China Recommendation Engine Market Size and Forecast, by Application (2022-2029) 6.5.2. S Korea 6.5.2.1. S Korea Recommendation Engine Market Size and Forecast, by Type (2022-2029) 6.5.2.2. S Korea Recommendation Engine Market Size and Forecast, by End User (2022-2029) 6.5.2.3. S Korea Recommendation Engine Market Size and Forecast, by Deployment Mode (2022-2029) 6.5.2.4. S Korea Recommendation Engine Market Size and Forecast, by Application (2022-2029) 6.5.3. Japan 6.5.3.1. Japan Recommendation Engine Market Size and Forecast, by Type (2022-2029) 6.5.3.2. Japan Recommendation Engine Market Size and Forecast, by End User (2022-2029) 6.5.3.3. Japan Recommendation Engine Market Size and Forecast, by Deployment Mode (2022-2029) 6.5.3.4. Japan Recommendation Engine Market Size and Forecast, by Application (2022-2029) 6.5.4. India 6.5.4.1. India Recommendation Engine Market Size and Forecast, by Type (2022-2029) 6.5.4.2. India Recommendation Engine Market Size and Forecast, by End User (2022-2029) 6.5.4.3. India Recommendation Engine Market Size and Forecast, by Deployment Mode (2022-2029) 6.5.4.4. India Recommendation Engine Market Size and Forecast, by Application (2022-2029) 6.5.5. Australia 6.5.5.1. Australia Recommendation Engine Market Size and Forecast, by Type (2022-2029) 6.5.5.2. Australia Recommendation Engine Market Size and Forecast, by End User (2022-2029) 6.5.5.3. Australia Recommendation Engine Market Size and Forecast, by Deployment Mode (2022-2029) 6.5.5.4. Australia Recommendation Engine Market Size and Forecast, by Application (2022-2029) 6.5.6. Indonesia 6.5.6.1. Indonesia Recommendation Engine Market Size and Forecast, by Type (2022-2029) 6.5.6.2. Indonesia Recommendation Engine Market Size and Forecast, by End User (2022-2029) 6.5.6.3. Indonesia Recommendation Engine Market Size and Forecast, by Deployment Mode (2022-2029) 6.5.6.4. Indonesia Recommendation Engine Market Size and Forecast, by Application (2022-2029) 6.5.7. Malaysia 6.5.7.1. Malaysia Recommendation Engine Market Size and Forecast, by Type (2022-2029) 6.5.7.2. Malaysia Recommendation Engine Market Size and Forecast, by End User (2022-2029) 6.5.7.3. Malaysia Recommendation Engine Market Size and Forecast, by Deployment Mode (2022-2029) 6.5.7.4. Malaysia Recommendation Engine Market Size and Forecast, by Application (2022-2029) 6.5.8. Vietnam 6.5.8.1. Vietnam Recommendation Engine Market Size and Forecast, by Type (2022-2029) 6.5.8.2. Vietnam Recommendation Engine Market Size and Forecast, by End User (2022-2029) 6.5.8.3. Vietnam Recommendation Engine Market Size and Forecast, by Deployment Mode(2022-2029) 6.5.8.4. Vietnam Recommendation Engine Market Size and Forecast, by Application (2022-2029) 6.5.9. Taiwan 6.5.9.1. Taiwan Recommendation Engine Market Size and Forecast, by Type (2022-2029) 6.5.9.2. Taiwan Recommendation Engine Market Size and Forecast, by End User (2022-2029) 6.5.9.3. Taiwan Recommendation Engine Market Size and Forecast, by Deployment Mode (2022-2029) 6.5.9.4. Taiwan Recommendation Engine Market Size and Forecast, by Application (2022-2029) 6.5.10. Rest of Asia Pacific 6.5.10.1. Rest of Asia Pacific Recommendation Engine Market Size and Forecast, by Type (2022-2029) 6.5.10.2. Rest of Asia Pacific Recommendation Engine Market Size and Forecast, by End User (2022-2029) 6.5.10.3. Rest of Asia Pacific Recommendation Engine Market Size and Forecast, by Deployment Mode (2022-2029) 6.5.10.4. Rest of Asia Pacific Recommendation Engine Market Size and Forecast, by Application (2022-2029) 7. Middle East and Africa Recommendation Engine Market Size and Forecast by Segmentation (by Value in USD Million) 2022-2029 7.1. Middle East and Africa Recommendation Engine Market Size and Forecast, by Type (2022-2029) 7.2. Middle East and Africa Recommendation Engine Market Size and Forecast, by End User (2022-2029) 7.3. Middle East and Africa Recommendation Engine Market Size and Forecast, by Deployment Mode (2022-2029) 7.4. Middle East and Africa Recommendation Engine Market Size and Forecast, by Application (2022-2029) 7.5. Middle East and Africa Recommendation Engine Market Size and Forecast, by Country (2022-2029) 7.5.1. South Africa 7.5.1.1. South Africa Recommendation Engine Market Size and Forecast, by Type (2022-2029) 7.5.1.2. South Africa Recommendation Engine Market Size and Forecast, by End User (2022-2029) 7.5.1.3. South Africa Recommendation Engine Market Size and Forecast, by Deployment Mode (2022-2029) 7.5.1.4. South Africa Recommendation Engine Market Size and Forecast, by Application (2022-2029) 7.5.2. GCC 7.5.2.1. GCC Recommendation Engine Market Size and Forecast, by Type (2022-2029) 7.5.2.2. GCC Recommendation Engine Market Size and Forecast, by End User (2022-2029) 7.5.2.3. GCC Recommendation Engine Market Size and Forecast, by Deployment Mode (2022-2029) 7.5.2.4. GCC Recommendation Engine Market Size and Forecast, by Application (2022-2029) 7.5.3. Nigeria 7.5.3.1. Nigeria Recommendation Engine Market Size and Forecast, by Type (2022-2029) 7.5.3.2. Nigeria Recommendation Engine Market Size and Forecast, by End User (2022-2029) 7.5.3.3. Nigeria Recommendation Engine Market Size and Forecast, by Deployment Mode (2022-2029) 7.5.3.4. Nigeria Recommendation Engine Market Size and Forecast, by Application (2022-2029) 7.5.4. Rest of ME&A 7.5.4.1. Rest of ME&A Recommendation Engine Market Size and Forecast, by Type (2022-2029) 7.5.4.2. Rest of ME&A Recommendation Engine Market Size and Forecast, by End User (2022-2029) 7.5.4.3. Rest of ME&A Recommendation Engine Market Size and Forecast, by Deployment Mode (2022-2029) 7.5.4.4. Rest of ME&A Recommendation Engine Market Size and Forecast, by Application (2022-2029) 8. South America Recommendation Engine Market Size and Forecast by Segmentation (by Value in USD Million) 2022-2029 8.1. South America Recommendation Engine Market Size and Forecast, by Type (2022-2029) 8.2. South America Recommendation Engine Market Size and Forecast, by End User (2022-2029) 8.3. South America Recommendation Engine Market Size and Forecast, by Deployment Mode(2022-2029) 8.4. South America Recommendation Engine Market Size and Forecast, by Application (2022-2029) 8.5. South America Recommendation Engine Market Size and Forecast, by Country (2022-2029) 8.5.1. Brazil 8.5.1.1. Brazil Recommendation Engine Market Size and Forecast, by Type (2022-2029) 8.5.1.2. Brazil Recommendation Engine Market Size and Forecast, by End User (2022-2029) 8.5.1.3. Brazil Recommendation Engine Market Size and Forecast, by Deployment Mode (2022-2029) 8.5.1.4. Brazil Recommendation Engine Market Size and Forecast, by Application (2022-2029) 8.5.2. Argentina 8.5.2.1. Argentina Recommendation Engine Market Size and Forecast, by Type (2022-2029) 8.5.2.2. Argentina Recommendation Engine Market Size and Forecast, by End User (2022-2029) 8.5.2.3. Argentina Recommendation Engine Market Size and Forecast, by Deployment Mode (2022-2029) 8.5.2.4. Argentina Recommendation Engine Market Size and Forecast, by Application (2022-2029) 8.5.3. Rest Of South America 8.5.3.1. Rest Of South America Recommendation Engine Market Size and Forecast, by Type (2022-2029) 8.5.3.2. Rest Of South America Recommendation Engine Market Size and Forecast, by End User (2022-2029) 8.5.3.3. Rest Of South America Recommendation Engine Market Size and Forecast, by Deployment Mode (2022-2029) 8.5.3.4. Rest Of South America Recommendation Engine Market Size and Forecast, by Application (2022-2029) 9. Global Recommendation Engine Market: Competitive Landscape 9.1. MMR Competition Matrix 9.2. Competitive Landscape 9.3. Key Players Benchmarking 9.3.1. Company Name 9.3.2. Business Segment 9.3.3. End-user Segment 9.3.4. Revenue (2022) 9.3.5. Company Locations 9.4. Leading Recommendation Engine Market Companies, by market capitalization 9.5. Market Structure 9.5.1. Market Leaders 9.5.2. Market Followers 9.5.3. Emerging Players 9.6. Mergers and Acquisitions Details 10. Company Profile: Key Players 10.1. Salesforce 10.1.1. Company Overview 10.1.2. Business Portfolio 10.1.3. Financial Overview 10.1.4. SWOT Analysis 10.1.5. Strategic Analysis 10.1.6. Scale of Operation (small, medium, and large) 10.1.7. Details on Partnership 10.1.8. Regulatory Accreditations and Certifications Received by Them 10.1.9. Awards Received by the Firm 10.1.10. Recent Developments 10.2. HPE 10.3. AWS 10.4. Oracle Corporation 10.5. Intel 10.6. Google 10.7. IBM 10.8. Microsoft 10.9. Sentient Technologies 10.10. SAP 10.11. Fuzzy.AI 10.12. Infinite Analytics 10.13. Adobe Inc. 10.14. Amazon Web Services, Inc. 10.15. Dynamic Yield, Inc. 10.16. Evergage Inc. 11. Key Findings 12. Industry Recommendations 13. Recommendation Engine Market: Research Methodology 14. Terms and Glossary