查看购物车
  • Traditional Chinese
  • English
  • Japanese
  • Korean
封面
市场调查报告书
商品编码
1560946

2024-2032 年按类型、技术、部署模式、应用程式、最终用户和区域分類的推荐引擎市场报告

Recommendation Engine Market Report by Type, Technology, Deployment Mode, Application, End User, and Region 2024-2032
出版日期: | 出版商: IMARC | 英文 143 Pages | 商品交期: 2-3个工作天内

价格

2023年全球推荐引擎市场IMARC Group达48亿美元。

推荐引擎是指一种资料过滤工具，使行销人员能够即时向客户提供相关产品推荐。它利用资料分析技术和先进演算法，例如机器学习 (ML) 和人工智慧 (AI)，可以向个人推荐相关产品目录。此外，它还可以根据客户偏好、过去的浏览器历史记录、属性和情境上下文在网站、应用程式和电子邮件上显示产品。目前，它广泛应用于企业对消费者（B2C）电子商务领域，例如娱乐、行动应用和教育等需要个人化策略的领域。

推荐引擎市场趋势：

冠状病毒病（COVID-19）大流行以及许多国家管理机构实施的全面封锁鼓励企业转向线上零售平台。这是促进推荐引擎需求的主要因素之一，以增加销售并维持正面的客户关係。除此之外，由于互联网的日益普及、对智慧型手机的日益依赖以及新兴的社交媒体趋势而蓬勃发展的电子商务行业也促进了市场的成长。这也可以归因于消费者消费习惯的变化以及购物过程中对便利性、即时性和简单性的需求不断增长。此外，越来越多地采用专注于提供无缝客户体验的全通路销售方法正在推动市场发展。此外，由于全球业务的快速扩张，对管理大量资料并积极吸引用户的推荐引擎的需求不断增加。它们也受到全球中小企业 (SME) 的欢迎，使它们能够透过向现有客户交叉销售新产品来增加整体销售额，并最大限度地提高平均订单价值。

本报告回答的关键问题

  • 全球推荐引擎市场有多大？ 2024-2032年全球推荐引擎市场的预期成长率是多少？
  • 推动全球推荐引擎市场的关键因素是什么？
  • COVID-19 对全球推荐引擎市场有何影响？
  • 全球推荐引擎市场按类型划分是怎样的？
  • 基于技术的全球推荐引擎市场格局如何？
  • 全球推荐引擎市场依部署模式划分是怎样的？
  • 基于应用的全球推荐引擎市场区隔如何？
  • 基于最终用户的全球推荐引擎市场的分化是什么？
  • 全球推荐引擎市场的重点区域有哪些？
  • 全球推荐引擎市场的主要参与者/公司有哪些？

目录

第一章：前言

第 2 章：范围与方法

  • 研究目的
  • 利害关係人
  • 数据来源
    • 主要来源
    • 二手资料
  • 市场预测
    • 自下而上的方法
    • 自上而下的方法
  • 预测方法

第 3 章：执行摘要

第 4 章：简介

  • 概述
  • 主要行业趋势

第 5 章：全球推荐引擎市场

  • 市场概况
  • 市场表现
  • COVID-19 的影响
  • 市场预测

第 6 章：市场区隔：按类型

  • 协同过滤
    • 市场趋势
    • 市场预测
  • 基于内容的过滤
    • 市场趋势
    • 市场预测
  • 混合推荐系统
    • 市场趋势
    • 市场预测
  • 其他的
    • 市场趋势
    • 市场预测

第 7 章：市场区隔：依技术

  • 情境感知
    • 市场趋势
    • 市场预测
  • 地理空间感知
    • 市场趋势
    • 市场预测

第 8 章：市场区隔：依部署模式

  • 本地
    • 市场趋势
    • 市场预测
  • 基于云端
    • 市场趋势
    • 市场预测

第 9 章：市场区隔：按应用

  • 策略和营运规划
    • 市场趋势
    • 市场预测
  • 产品规划与主动资产管理
    • 市场趋势
    • 市场预测
  • 个人化活动和客户发现
    • 市场趋势
    • 市场预测

第 10 章：市场区隔：依最终用户

  • 资讯科技和电信
    • 市场趋势
    • 市场预测
  • BFSI
    • 市场趋势
    • 市场预测
  • 零售
    • 市场趋势
    • 市场预测
  • 媒体和娱乐
    • 市场趋势
    • 市场预测
  • 卫生保健
    • 市场趋势
    • 市场预测
  • 其他的
    • 市场趋势
    • 市场预测

第 11 章：市场区隔：按地区

  • 北美洲
    • 美国
    • 加拿大
  • 亚太
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳洲
    • 印尼
    • 其他的
  • 欧洲
    • 德国
    • 法国
    • 英国
    • 义大利
    • 西班牙
    • 俄罗斯
    • 其他的
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 其他的
  • 中东和非洲
    • 市场趋势
    • 市场细分：按国家/地区
    • 市场预测

第 12 章：SWOT 分析

  • 概述
  • 优势
  • 弱点
  • 机会
  • 威胁

第 13 章：价值链分析

第 14 章：波特五力分析

  • 概述
  • 买家的议价能力
  • 供应商的议价能力
  • 竞争程度
  • 新进入者的威胁
  • 替代品的威胁

第 15 章：价格分析

第16章：竞争格局

  • 市场结构
  • 关键参与者
  • 关键参与者简介
    • Adobe Inc.
    • Amazon.com Inc.
    • Dynamic Yield (McDonald's)
    • Google LLC (Alphabet Inc.)
    • Hewlett Packard Enterprise Development LP
    • Intel Corporation
    • International Business Machines Corporation
    • Kibo Software Inc.
    • Microsoft Corporation
    • Oracle Corporation
    • Recolize GmbH
    • Salesforce.com Inc.
    • SAP SE
Product Code: SR112024A4706

The global recommendation engine market size reached US$ 4.8 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 59.1 Billion by 2032, exhibiting a growth rate (CAGR) of 31.2% during 2024-2032.

Recommendation engine refers to a data filtering tool that enables marketers to offer relevant product recommendations to customers in real-time. It is leveraged with data analysis techniques and advanced algorithms, such as machine learning (ML) and artificial intelligence (AI), which can suggest relevant product catalogs to an individual. In addition, it can show products on websites, apps, and emails, based on customer preferences, past browser history, attributes, and situational context. At present, it is widely utilized in business-to-consumer (B2C) e-commerce fields, such as entertainment, mobile apps, and education, which require a personalization strategy.

Recommendation Engine Market Trends:

The coronavirus disease (COVID-19) pandemic and complete lockdowns imposed by governing agencies of numerous countries have encouraged enterprises to shift to online retail platforms. This represents one of the major factors catalyzing the demand for recommendation engines to increase sales and maintain a positive customer relationship. Apart from this, the thriving e-commerce industry on account of the increasing penetration of the Internet, the growing reliance on smartphones, and the emerging social media trend are contributing to the market growth. This can also be attributed to changing consumer spending habits and the rising need for convenience, immediacy, and simplicity during shopping. Moreover, the increasing adoption of the omnichannel approach to sales that focuses on providing a seamless customer experience is driving the market. Furthermore, due to the rapid expansion of businesses globally, there is a rise in the demand for recommendation engines to manage large volumes of data and engage users actively. They are also gaining traction in small and medium-sized enterprises (SMEs) worldwide to enable them to increase overall sales by cross-selling new products to existing customers and maximize average order value.

Key Market Segmentation:

IMARC Group provides an analysis of the key trends in each sub-segment of the global recommendation engine market report, along with forecasts at the global, regional and country level from 2024-2032. Our report has categorized the market based on type, technology, deployment mode, application and end user.

Breakup by Type:

  • Collaborative Filtering
  • Content-based Filtering
  • Hybrid Recommendation Systems
  • Others

Breakup by Technology:

  • Context Aware
  • Geospatial Aware

Breakup by Deployment Mode:

  • On-premises
  • Cloud-based

Breakup by Application:

  • Strategy and Operations Planning
  • Product Planning and Proactive Asset Management
  • Personalized Campaigns and Customer Discovery

Breakup by End User:

  • IT and Telecommunication
  • BFSI
  • Retail
  • Media and Entertainment
  • Healthcare
  • Others

Breakup by Region:

  • North America
    • United States
    • Canada
  • Asia-Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Others
  • Europe
    • Germany
    • France
    • United Kingdom
    • Italy
    • Spain
    • Russia
    • Others
  • Latin America
    • Brazil
    • Mexico
    • Others
  • Middle East and Africa

Competitive Landscape:

The competitive landscape of the industry has also been examined along with the profiles of the key players being Adobe Inc., Amazon.com Inc., Dynamic Yield (McDonald's), Google LLC (Alphabet Inc.), Hewlett Packard Enterprise Development LP, Intel Corporation, International Business Machines Corporation, Kibo Software Inc., Microsoft Corporation, Oracle Corporation, Recolize GmbH, Salesforce.com Inc. and SAP SE.

Key Questions Answered in This Report

  • 1. How big is the global recommendation engine market?
  • 2. What is the expected growth rate of the global recommendation engine market during 2024-2032?
  • 3. What are the key factors driving the global recommendation engine market?
  • 4. What has been the impact of COVID-19 on the global recommendation engine market?
  • 5. What is the breakup of the global recommendation engine market based on the type?
  • 6. What is the breakup of the global recommendation engine market based on the technology?
  • 7. What is the breakup of the global recommendation engine market based on the deployment mode?
  • 8. What is the breakup of the global recommendation engine market based on the application?
  • 9. What is the breakup of the global recommendation engine market based on the end user?
  • 10. What are the key regions in the global recommendation engine market?
  • 11. Who are the key players/companies in the global recommendation engine market?

Table of Contents

1 Preface

2 Scope and Methodology

  • 2.1 Objectives of the Study
  • 2.2 Stakeholders
  • 2.3 Data Sources
    • 2.3.1 Primary Sources
    • 2.3.2 Secondary Sources
  • 2.4 Market Estimation
    • 2.4.1 Bottom-Up Approach
    • 2.4.2 Top-Down Approach
  • 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

  • 4.1 Overview
  • 4.2 Key Industry Trends

5 Global Recommendation Engine Market

  • 5.1 Market Overview
  • 5.2 Market Performance
  • 5.3 Impact of COVID-19
  • 5.4 Market Forecast

6 Market Breakup by Type

  • 6.1 Collaborative Filtering
    • 6.1.1 Market Trends
    • 6.1.2 Market Forecast
  • 6.2 Content-based Filtering
    • 6.2.1 Market Trends
    • 6.2.2 Market Forecast
  • 6.3 Hybrid Recommendation Systems
    • 6.3.1 Market Trends
    • 6.3.2 Market Forecast
  • 6.4 Others
    • 6.4.1 Market Trends
    • 6.4.2 Market Forecast

7 Market Breakup by Technology

  • 7.1 Context Aware
    • 7.1.1 Market Trends
    • 7.1.2 Market Forecast
  • 7.2 Geospatial Aware
    • 7.2.1 Market Trends
    • 7.2.2 Market Forecast

8 Market Breakup by Deployment Mode

  • 8.1 On-premises
    • 8.1.1 Market Trends
    • 8.1.2 Market Forecast
  • 8.2 Cloud-based
    • 8.2.1 Market Trends
    • 8.2.2 Market Forecast

9 Market Breakup by Application

  • 9.1 Strategy and Operations Planning
    • 9.1.1 Market Trends
    • 9.1.2 Market Forecast
  • 9.2 Product Planning and Proactive Asset Management
    • 9.2.1 Market Trends
    • 9.2.2 Market Forecast
  • 9.3 Personalized Campaigns and Customer Discovery
    • 9.3.1 Market Trends
    • 9.3.2 Market Forecast

10 Market Breakup by End User

  • 10.1 IT and Telecommunication
    • 10.1.1 Market Trends
    • 10.1.2 Market Forecast
  • 10.2 BFSI
    • 10.2.1 Market Trends
    • 10.2.2 Market Forecast
  • 10.3 Retail
    • 10.3.1 Market Trends
    • 10.3.2 Market Forecast
  • 10.4 Media and Entertainment
    • 10.4.1 Market Trends
    • 10.4.2 Market Forecast
  • 10.5 Healthcare
    • 10.5.1 Market Trends
    • 10.5.2 Market Forecast
  • 10.6 Others
    • 10.6.1 Market Trends
    • 10.6.2 Market Forecast

11 Market Breakup by Region

  • 11.1 North America
    • 11.1.1 United States
      • 11.1.1.1 Market Trends
      • 11.1.1.2 Market Forecast
    • 11.1.2 Canada
      • 11.1.2.1 Market Trends
      • 11.1.2.2 Market Forecast
  • 11.2 Asia-Pacific
    • 11.2.1 China
      • 11.2.1.1 Market Trends
      • 11.2.1.2 Market Forecast
    • 11.2.2 Japan
      • 11.2.2.1 Market Trends
      • 11.2.2.2 Market Forecast
    • 11.2.3 India
      • 11.2.3.1 Market Trends
      • 11.2.3.2 Market Forecast
    • 11.2.4 South Korea
      • 11.2.4.1 Market Trends
      • 11.2.4.2 Market Forecast
    • 11.2.5 Australia
      • 11.2.5.1 Market Trends
      • 11.2.5.2 Market Forecast
    • 11.2.6 Indonesia
      • 11.2.6.1 Market Trends
      • 11.2.6.2 Market Forecast
    • 11.2.7 Others
      • 11.2.7.1 Market Trends
      • 11.2.7.2 Market Forecast
  • 11.3 Europe
    • 11.3.1 Germany
      • 11.3.1.1 Market Trends
      • 11.3.1.2 Market Forecast
    • 11.3.2 France
      • 11.3.2.1 Market Trends
      • 11.3.2.2 Market Forecast
    • 11.3.3 United Kingdom
      • 11.3.3.1 Market Trends
      • 11.3.3.2 Market Forecast
    • 11.3.4 Italy
      • 11.3.4.1 Market Trends
      • 11.3.4.2 Market Forecast
    • 11.3.5 Spain
      • 11.3.5.1 Market Trends
      • 11.3.5.2 Market Forecast
    • 11.3.6 Russia
      • 11.3.6.1 Market Trends
      • 11.3.6.2 Market Forecast
    • 11.3.7 Others
      • 11.3.7.1 Market Trends
      • 11.3.7.2 Market Forecast
  • 11.4 Latin America
    • 11.4.1 Brazil
      • 11.4.1.1 Market Trends
      • 11.4.1.2 Market Forecast
    • 11.4.2 Mexico
      • 11.4.2.1 Market Trends
      • 11.4.2.2 Market Forecast
    • 11.4.3 Others
      • 11.4.3.1 Market Trends
      • 11.4.3.2 Market Forecast
  • 11.5 Middle East and Africa
    • 11.5.1 Market Trends
    • 11.5.2 Market Breakup by Country
    • 11.5.3 Market Forecast

12 SWOT Analysis

  • 12.1 Overview
  • 12.2 Strengths
  • 12.3 Weaknesses
  • 12.4 Opportunities
  • 12.5 Threats

13 Value Chain Analysis

14 Porters Five Forces Analysis

  • 14.1 Overview
  • 14.2 Bargaining Power of Buyers
  • 14.3 Bargaining Power of Suppliers
  • 14.4 Degree of Competition
  • 14.5 Threat of New Entrants
  • 14.6 Threat of Substitutes

15 Price Analysis

16 Competitive Landscape

  • 16.1 Market Structure
  • 16.2 Key Players
  • 16.3 Profiles of Key Players
    • 16.3.1 Adobe Inc.
      • 16.3.1.1 Company Overview
      • 16.3.1.2 Product Portfolio
      • 16.3.1.3 Financials
      • 16.3.1.4 SWOT Analysis
    • 16.3.2 Amazon.com Inc.
      • 16.3.2.1 Company Overview
      • 16.3.2.2 Product Portfolio
      • 16.3.2.3 Financials
      • 16.3.2.4 SWOT Analysis
    • 16.3.3 Dynamic Yield (McDonald's)
      • 16.3.3.1 Company Overview
      • 16.3.3.2 Product Portfolio
    • 16.3.4 Google LLC (Alphabet Inc.)
      • 16.3.4.1 Company Overview
      • 16.3.4.2 Product Portfolio
      • 16.3.4.3 SWOT Analysis
    • 16.3.5 Hewlett Packard Enterprise Development LP
      • 16.3.5.1 Company Overview
      • 16.3.5.2 Product Portfolio
      • 16.3.5.3 Financials
      • 16.3.5.4 SWOT Analysis
    • 16.3.6 Intel Corporation
      • 16.3.6.1 Company Overview
      • 16.3.6.2 Product Portfolio
      • 16.3.6.3 Financials
      • 16.3.6.4 SWOT Analysis
    • 16.3.7 International Business Machines Corporation
      • 16.3.7.1 Company Overview
      • 16.3.7.2 Product Portfolio
      • 16.3.7.3 Financials
      • 16.3.7.4 SWOT Analysis
    • 16.3.8 Kibo Software Inc.
      • 16.3.8.1 Company Overview
      • 16.3.8.2 Product Portfolio
    • 16.3.9 Microsoft Corporation
      • 16.3.9.1 Company Overview
      • 16.3.9.2 Product Portfolio
      • 16.3.9.3 Financials
      • 16.3.9.4 SWOT Analysis
    • 16.3.10 Oracle Corporation
      • 16.3.10.1 Company Overview
      • 16.3.10.2 Product Portfolio
      • 16.3.10.3 Financials
      • 16.3.10.4 SWOT Analysis
    • 16.3.11 Recolize GmbH
      • 16.3.11.1 Company Overview
      • 16.3.11.2 Product Portfolio
    • 16.3.12 Salesforce.com Inc.
      • 16.3.12.1 Company Overview
      • 16.3.12.2 Product Portfolio
      • 16.3.12.3 Financials
      • 16.3.12.4 SWOT Analysis
    • 16.3.13 SAP SE
      • 16.3.13.1 Company Overview
      • 16.3.13.2 Product Portfolio
      • 16.3.13.3 Financials
      • 16.3.13.4 SWOT Analysis

List of Figures

  • Figure 1: Global: Recommendation Engine Market: Major Drivers and Challenges
  • Figure 2: Global: Recommendation Engine Market: Sales Value (in Billion US$), 2018-2023
  • Figure 3: Global: Recommendation Engine Market Forecast: Sales Value (in Billion US$), 2024-2032
  • Figure 4: Global: Recommendation Engine Market: Breakup by Type (in %), 2023
  • Figure 5: Global: Recommendation Engine Market: Breakup by Technology (in %), 2023
  • Figure 6: Global: Recommendation Engine Market: Breakup by Deployment Mode (in %), 2023
  • Figure 7: Global: Recommendation Engine Market: Breakup by Application (in %), 2023
  • Figure 8: Global: Recommendation Engine Market: Breakup by End User (in %), 2023
  • Figure 9: Global: Recommendation Engine Market: Breakup by Region (in %), 2023
  • Figure 10: Global: Recommendation Engine (Collaborative Filtering) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 11: Global: Recommendation Engine (Collaborative Filtering) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 12: Global: Recommendation Engine (Content-based Filtering) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 13: Global: Recommendation Engine (Content-based Filtering) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 14: Global: Recommendation Engine (Hybrid Recommendation Systems) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 15: Global: Recommendation Engine (Hybrid Recommendation Systems) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 16: Global: Recommendation Engine (Other Types) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 17: Global: Recommendation Engine (Other Types) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 18: Global: Recommendation Engine (Context Aware) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 19: Global: Recommendation Engine (Context Aware) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 20: Global: Recommendation Engine (Geospatial Aware) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 21: Global: Recommendation Engine (Geospatial Aware) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 22: Global: Recommendation Engine (On-premises) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 23: Global: Recommendation Engine (On-premises) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 24: Global: Recommendation Engine (Cloud-based) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 25: Global: Recommendation Engine (Cloud-based) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 26: Global: Recommendation Engine (Strategy and Operations Planning) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 27: Global: Recommendation Engine (Strategy and Operations Planning) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 28: Global: Recommendation Engine (Product Planning and Proactive Asset Management) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 29: Global: Recommendation Engine (Product Planning and Proactive Asset Management) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 30: Global: Recommendation Engine (Personalized Campaigns and Customer Discovery) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 31: Global: Recommendation Engine (Personalized Campaigns and Customer Discovery) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 32: Global: Recommendation Engine (IT and Telecommunication) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 33: Global: Recommendation Engine (IT and Telecommunication) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 34: Global: Recommendation Engine (BFSI) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 35: Global: Recommendation Engine (BFSI) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 36: Global: Recommendation Engine (Retail) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 37: Global: Recommendation Engine (Retail) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 38: Global: Recommendation Engine (Media and Entertainment) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 39: Global: Recommendation Engine (Media and Entertainment) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 40: Global: Recommendation Engine (Healthcare) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 41: Global: Recommendation Engine (Healthcare) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 42: Global: Recommendation Engine (Other End Users) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 43: Global: Recommendation Engine (Other End Users) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 44: North America: Recommendation Engine Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 45: North America: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 46: United States: Recommendation Engine Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 47: United States: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 48: Canada: Recommendation Engine Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 49: Canada: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 50: Asia-Pacific: Recommendation Engine Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 51: Asia-Pacific: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 52: China: Recommendation Engine Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 53: China: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 54: Japan: Recommendation Engine Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 55: Japan: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 56: India: Recommendation Engine Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 57: India: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 58: South Korea: Recommendation Engine Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 59: South Korea: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 60: Australia: Recommendation Engine Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 61: Australia: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 62: Indonesia: Recommendation Engine Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 63: Indonesia: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 64: Others: Recommendation Engine Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 65: Others: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 66: Europe: Recommendation Engine Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 67: Europe: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 68: Germany: Recommendation Engine Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 69: Germany: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 70: France: Recommendation Engine Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 71: France: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 72: United Kingdom: Recommendation Engine Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 73: United Kingdom: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 74: Italy: Recommendation Engine Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 75: Italy: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 76: Spain: Recommendation Engine Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 77: Spain: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 78: Russia: Recommendation Engine Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 79: Russia: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 80: Others: Recommendation Engine Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 81: Others: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 82: Latin America: Recommendation Engine Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 83: Latin America: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 84: Brazil: Recommendation Engine Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 85: Brazil: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 86: Mexico: Recommendation Engine Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 87: Mexico: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 88: Others: Recommendation Engine Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 89: Others: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 90: Middle East and Africa: Recommendation Engine Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 91: Middle East and Africa: Recommendation Engine Market: Breakup by Country (in %), 2023
  • Figure 92: Middle East and Africa: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 93: Global: Recommendation Engine Industry: SWOT Analysis
  • Figure 94: Global: Recommendation Engine Industry: Value Chain Analysis
  • Figure 95: Global: Recommendation Engine Industry: Porter's Five Forces Analysis

List of Tables

  • Table 1: Global: Recommendation Engine Market: Key Industry Highlights, 2023 and 2032
  • Table 2: Global: Recommendation Engine Market Forecast: Breakup by Type (in Million US$), 2024-2032
  • Table 3: Global: Recommendation Engine Market Forecast: Breakup by Technology (in Million US$), 2024-2032
  • Table 4: Global: Recommendation Engine Market Forecast: Breakup by Deployment Mode (in Million US$), 2024-2032
  • Table 5: Global: Recommendation Engine Market Forecast: Breakup by Application (in Million US$), 2024-2032
  • Table 6: Global: Recommendation Engine Market Forecast: Breakup by End User (in Million US$), 2024-2032
  • Table 7: Global: Recommendation Engine Market Forecast: Breakup by Region (in Million US$), 2024-2032
  • Table 8: Global: Recommendation Engine Market: Competitive Structure
  • Table 9: Global: Recommendation Engine Market: Key Players