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1560946

2024-2032 年按類型、技術、部署模式、應用程式、最終用戶和區域分類的推薦引擎市場報告

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個工作天內

價格

2023年全球推薦引擎市場IMARC Group達48億美元。

推薦引擎是指一種資料過濾工具，使行銷人員能夠即時向客戶提供相關產品推薦。它利用資料分析技術和先進演算法，例如機器學習 (ML) 和人工智慧 (AI)，可以向個人推薦相關產品目錄。此外，它還可以根據客戶偏好、過去的瀏覽器歷史記錄、屬性和情境上下文在網站、應用程式和電子郵件上顯示產品。目前，它廣泛應用於企業對消費者（B2C）電子商務領域，例如娛樂、行動應用和教育等需要個人化策略的領域。

推薦引擎市場趨勢：

冠狀病毒病（COVID-19）大流行以及許多國家管理機構實施的全面封鎖鼓勵企業轉向線上零售平台。這是促進推薦引擎需求的主要因素之一，以增加銷售並維持正面的客戶關係。除此之外，由於網際網路的日益普及、對智慧型手機的日益依賴以及新興的社交媒體趨勢而蓬勃發展的電子商務行業也促進了市場的成長。這也可以歸因於消費者消費習慣的變化以及購物過程中對便利性、即時性和簡單性的需求不斷成長。此外，擴大採用專注於提供無縫客戶體驗的全通路銷售方法正在推動市場發展。此外，由於全球業務的快速擴張，對管理大量資料並積極吸引用戶的推薦引擎的需求不斷增加。它們也受到全球中小企業 (SME) 的歡迎，使它們能夠透過向現有客戶交叉銷售新產品來增加整體銷售額，並最大限度地提高平均訂單價值。

本報告回答的關鍵問題

  • 全球推薦引擎市場有多大？ 2024-2032年全球推薦引擎市場的預期成長率是多少？
  • 推動全球推薦引擎市場的關鍵因素是什麼？
  • COVID-19 對全球推薦引擎市場有何影響？
  • 全球推薦引擎市場按類型分類是怎樣的？
  • 基於技術的全球推薦引擎市場格局如何？
  • 全球推薦引擎市場依部署模式分類是怎樣的？
  • 基於應用的全球推薦引擎市場區隔如何？
  • 基於最終用戶的全球推薦引擎市場的分化是什麼？
  • 全球推薦引擎市場的重點區域有哪些？
  • 全球推薦引擎市場的主要參與者/公司有哪些？

目錄

第1章：前言

第 2 章：範圍與方法

  • 研究目的
  • 利害關係人
  • 數據來源
    • 主要來源
    • 二手資料
  • 市場預測
    • 自下而上的方法
    • 自上而下的方法
  • 預測方法

第 3 章：執行摘要

第 4 章：簡介

  • 概述
  • 主要行業趨勢

第 5 章：全球推薦引擎市場

  • 市場概況
  • 市場表現
  • COVID-19 的影響
  • 市場預測

第 6 章：市場區隔：按類型

  • 協同過濾
    • 市場趨勢
    • 市場預測
  • 基於內容的過濾
    • 市場趨勢
    • 市場預測
  • 混合推薦系統
    • 市場趨勢
    • 市場預測
  • 其他
    • 市場趨勢
    • 市場預測

第 7 章：市場區隔：依技術

  • 情境感知
    • 市場趨勢
    • 市場預測
  • 地理空間感知
    • 市場趨勢
    • 市場預測

第 8 章：市場區隔：依部署模式

  • 本地
    • 市場趨勢
    • 市場預測
  • 基於雲端
    • 市場趨勢
    • 市場預測

第 9 章：市場區隔：按應用

  • 策略和營運規劃
    • 市場趨勢
    • 市場預測
  • 產品規劃與主動資產管理
    • 市場趨勢
    • 市場預測
  • 個人化活動和客戶發現
    • 市場趨勢
    • 市場預測

第 10 章：市場區隔：依最終用戶

  • 資訊科技和電信
    • 市場趨勢
    • 市場預測
  • BFSI
    • 市場趨勢
    • 市場預測
  • 零售
    • 市場趨勢
    • 市場預測
  • 媒體和娛樂
    • 市場趨勢
    • 市場預測
  • 衛生保健
    • 市場趨勢
    • 市場預測
  • 其他
    • 市場趨勢
    • 市場預測

第 11 章：市場區隔：按地區

  • 北美洲
    • 美國
    • 加拿大
  • 亞太
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 其他
  • 歐洲
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙
    • 俄羅斯
    • 其他
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 其他
  • 中東和非洲
    • 市場趨勢
    • 市場細分：按國家/地區
    • 市場預測

第 12 章：SWOT 分析

  • 概述
  • 優勢
  • 弱點
  • 機會
  • 威脅

第 13 章：價值鏈分析

第 14 章：波特五力分析

  • 概述
  • 買家的議價能力
  • 供應商的議價能力
  • 競爭程度
  • 新進入者的威脅
  • 替代品的威脅

第 15 章：價格分析

第16章：競爭格局

  • 市場結構
  • 關鍵參與者
  • 關鍵參與者簡介
    • 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