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1390836

レコメンドエンジン市場：世界の産業動向、シェア、市場規模、成長、機会、2023～2028年予測

Recommendation Engine Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2023-2028
出版日: | 発行: IMARC | ページ情報: 英文 142 Pages | 納期: 2～3営業日

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価格
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レコメンドエンジン市場：世界の産業動向、シェア、市場規模、成長、機会、2023～2028年予測
出版日: 2023年11月24日
発行: IMARC
ページ情報: 英文 142 Pages
納期: 2～3営業日
  • 全表示
  • 概要
  • 図表
  • 目次
概要

概要

世界のレコメンドエンジン市場規模は2022年に35億米ドルに達しました。今後、IMARC Groupは、市場は2028年までに222億米ドルに達し、2022年から2028年の間に36.05%の成長率（CAGR）を示すと予測しています。

レコメンドエンジンとは、マーケティング担当者がリアルタイムで顧客に適切な商品推奨を提供できるようにするデータ・フィルタリング・ツールを指します。機械学習（ML）や人工知能（AI）などのデータ分析技術や高度なアルゴリズムが活用され、個人に関連する商品カタログを提案することができます。さらに、顧客の嗜好、過去のブラウザ履歴、属性、状況的なコンテキストに基づいて、ウェブサイト、アプリ、電子メールで商品を表示することができます。現在は、エンターテインメント、モバイルアプリ、教育など、パーソナライズ戦略が求められるB2C（Business to Consumer）のeコマース分野で広く活用されています。

レコメンドエンジンの市場動向：

コロナウイルス感染症（COVID-19）の大流行や、各国の政府機関による完全な営業停止措置は、企業にオンライン小売プラットフォームへの移行を促しています。これは、売上を増加させ、良好な顧客関係を維持するためのレコメンドエンジンの需要を喚起する主な要因の一つです。これとは別に、インターネットの普及に伴うeコマース業界の繁栄、スマートフォンへの依存度の高まり、ソーシャルメディアの新興動向が市場成長に寄与しています。これはまた、消費者の消費習慣の変化や、ショッピング時の利便性、即時性、簡便性に対するニーズの高まりにも起因しています。さらに、シームレスな顧客体験の提供に重点を置いたオムニチャネル・アプローチの採用が増加していることも、市場を牽引しています。さらに、ビジネスの世界の急速な拡大により、大量のデータを管理し、ユーザーを積極的に取り込むためのレコメンドエンジンに対する需要が高まっています。また、世界中の中小企業（SME）でも、既存顧客への新製品のクロスセリングや平均注文金額の最大化によって、全体的な売上の増加を可能にするレコメンドエンジンの支持が高まっています。

本レポートで扱う主な質問

  • レコメンドエンジンの世界市場規模は？
  • 2023-2028年におけるレコメンドエンジン世界市場の予想成長率は？
  • レコメンドエンジンの世界市場を牽引する主要因は？
  • COVID-19がレコメンドエンジンの世界市場に与えた影響は？
  • レコメンドエンジンの世界市場のタイプ別内訳は？
  • レコメンドエンジン世界市場の技術別内訳は？
  • レコメンドエンジンの世界市場内訳を展開形態別内訳は？
  • レコメンドエンジンの世界市場の用途別内訳は？
  • レコメンドエンジンの世界市場のエンドユーザー別内訳は？
  • レコメンドエンジンの世界市場における主要地域は？
  • レコメンドエンジンの世界市場における主要プレイヤー/企業は？

目次

第1章 序文

第2章 調査範囲と調査手法

  • 調査目的
  • 利害関係者
  • データソース
    • 一次情報
    • 二次情報
  • 市場推定
    • ボトムアップアプローチ
    • トップダウンアプローチ
  • 調査手法

第3章 エグゼクティブサマリー

第4章 イントロダクション

  • 概要
  • 主要業界動向

第5章 レコメンドエンジンの世界市場

  • 市場概要
  • 市場実績
  • COVID-19の影響
  • 市場予測

第6章 市場内訳：タイプ別

  • 協調フィルタリング
    • 市場動向
    • 市場予測
  • コンテンツベースフィルタリング
    • 市場動向
    • 市場予測
  • ハイブリッド推薦システム
    • 市場動向
    • 市場予測
  • その他
    • 市場動向
    • 市場予測

第7章 市場内訳：技術別

  • コンテキストアウェア
    • 市場動向
    • 市場予測
  • 空間認識
    • 市場動向
    • 市場予測

第8章 市場内訳：展開モード別

  • オンプレミス
    • 市場動向
    • 市場予測
  • クラウドベース
    • 市場動向
    • 市場予測

第9章 市場内訳：用途別

  • 戦略・事業計画
    • 市場動向
    • 市場予測
  • 商品企画とプロアクティブ資産管理
    • 市場動向
    • 市場予測
  • パーソナライズキャンペーンと顧客発見
    • 市場動向
    • 市場予測

第10章 市場内訳：エンドユーザー別

  • IT・通信
    • 市場動向
    • 市場予測
  • BFSI
    • 市場動向
    • 市場予測
  • 小売
    • 市場動向
    • 市場予測
  • メディアとエンターテイメント
    • 市場動向
    • 市場予測
  • ヘルスケア
    • 市場動向
    • 市場予測
  • その他
    • 市場動向
    • 市場予測

第11章 市場内訳：地域別

  • 北米
    • 米国
      • 市場動向
      • 市場予測
    • カナダ
      • 市場動向
      • 市場予測
  • アジア太平洋
    • 中国
      • 市場動向
      • 市場予測
    • 日本
      • 市場動向
      • 市場予測
    • インド
      • 市場動向
      • 市場予測
    • 韓国
      • 市場動向
      • 市場予測
    • オーストラリア
      • 市場動向
      • 市場予測
    • インドネシア
      • 市場動向
      • 市場予測
    • その他
      • 市場動向
      • 市場予測
  • 欧州
    • ドイツ
      • 市場動向
      • 市場予測
    • フランス
      • 市場動向
      • 市場予測
    • 英国
      • 市場動向
      • 市場予測
    • イタリア
      • 市場動向
      • 市場予測
    • スペイン
      • 市場動向
      • 市場予測
    • ロシア
      • 市場動向
      • 市場予測
    • その他
      • 市場動向
      • 市場予測
  • ラテンアメリカ
    • ブラジル
      • 市場動向
      • 市場予測
    • メキシコ
      • 市場動向
      • 市場予測
    • その他
      • 市場動向
      • 市場予測
  • 中東・アフリカ地域
    • 市場動向
    • 市場内訳：国別
    • 市場予測

第12章 SWOT分析

  • 概要
  • 強み
  • 弱み
  • 機会
  • 脅威

第13章 バリューチェーン分析

第14章 ポーターのファイブフォース分析

  • 概要
  • 買い手の交渉力
  • 供給企業の交渉力
  • 競合の程度
  • 新規参入業者の脅威
  • 代替品の脅威

第15章 価格分析

第16章 競合情勢

  • 市場構造
  • 主要企業
  • 主要企業のプロファイル
    • 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
図表

List of Figures

  • Figure 1: Global: Recommendation Engine Market: Major Drivers and Challenges
  • Figure 2: Global: Recommendation Engine Market: Sales Value (in Billion US$), 2017-2022
  • Figure 3: Global: Recommendation Engine Market Forecast: Sales Value (in Billion US$), 2023-2028
  • Figure 4: Global: Recommendation Engine Market: Breakup by Type (in %), 2022
  • Figure 5: Global: Recommendation Engine Market: Breakup by Technology (in %), 2022
  • Figure 6: Global: Recommendation Engine Market: Breakup by Deployment Mode (in %), 2022
  • Figure 7: Global: Recommendation Engine Market: Breakup by Application (in %), 2022
  • Figure 8: Global: Recommendation Engine Market: Breakup by End User (in %), 2022
  • Figure 9: Global: Recommendation Engine Market: Breakup by Region (in %), 2022
  • Figure 10: Global: Recommendation Engine (Collaborative Filtering) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 11: Global: Recommendation Engine (Collaborative Filtering) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 12: Global: Recommendation Engine (Content-based Filtering) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 13: Global: Recommendation Engine (Content-based Filtering) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 14: Global: Recommendation Engine (Hybrid Recommendation Systems) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 15: Global: Recommendation Engine (Hybrid Recommendation Systems) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 16: Global: Recommendation Engine (Other Types) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 17: Global: Recommendation Engine (Other Types) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 18: Global: Recommendation Engine (Context Aware) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 19: Global: Recommendation Engine (Context Aware) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 20: Global: Recommendation Engine (Geospatial Aware) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 21: Global: Recommendation Engine (Geospatial Aware) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 22: Global: Recommendation Engine (On-premises) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 23: Global: Recommendation Engine (On-premises) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 24: Global: Recommendation Engine (Cloud-based) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 25: Global: Recommendation Engine (Cloud-based) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 26: Global: Recommendation Engine (Strategy and Operations Planning) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 27: Global: Recommendation Engine (Strategy and Operations Planning) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 28: Global: Recommendation Engine (Product Planning and Proactive Asset Management) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 29: Global: Recommendation Engine (Product Planning and Proactive Asset Management) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 30: Global: Recommendation Engine (Personalized Campaigns and Customer Discovery) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 31: Global: Recommendation Engine (Personalized Campaigns and Customer Discovery) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 32: Global: Recommendation Engine (IT and Telecommunication) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 33: Global: Recommendation Engine (IT and Telecommunication) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 34: Global: Recommendation Engine (BFSI) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 35: Global: Recommendation Engine (BFSI) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 36: Global: Recommendation Engine (Retail) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 37: Global: Recommendation Engine (Retail) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 38: Global: Recommendation Engine (Media and Entertainment) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 39: Global: Recommendation Engine (Media and Entertainment) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 40: Global: Recommendation Engine (Healthcare) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 41: Global: Recommendation Engine (Healthcare) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 42: Global: Recommendation Engine (Other End Users) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 43: Global: Recommendation Engine (Other End Users) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 44: North America: Recommendation Engine Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 45: North America: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 46: United States: Recommendation Engine Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 47: United States: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 48: Canada: Recommendation Engine Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 49: Canada: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 50: Asia-Pacific: Recommendation Engine Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 51: Asia-Pacific: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 52: China: Recommendation Engine Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 53: China: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 54: Japan: Recommendation Engine Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 55: Japan: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 56: India: Recommendation Engine Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 57: India: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 58: South Korea: Recommendation Engine Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 59: South Korea: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 60: Australia: Recommendation Engine Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 61: Australia: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 62: Indonesia: Recommendation Engine Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 63: Indonesia: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 64: Others: Recommendation Engine Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 65: Others: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 66: Europe: Recommendation Engine Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 67: Europe: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 68: Germany: Recommendation Engine Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 69: Germany: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 70: France: Recommendation Engine Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 71: France: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 72: United Kingdom: Recommendation Engine Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 73: United Kingdom: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 74: Italy: Recommendation Engine Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 75: Italy: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 76: Spain: Recommendation Engine Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 77: Spain: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 78: Russia: Recommendation Engine Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 79: Russia: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 80: Others: Recommendation Engine Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 81: Others: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 82: Latin America: Recommendation Engine Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 83: Latin America: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 84: Brazil: Recommendation Engine Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 85: Brazil: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 86: Mexico: Recommendation Engine Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 87: Mexico: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 88: Others: Recommendation Engine Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 89: Others: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 90: Middle East and Africa: Recommendation Engine Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 91: Middle East and Africa: Recommendation Engine Market: Breakup by Country (in %), 2022
  • Figure 92: Middle East and Africa: Recommendation Engine Market Forecast: Sales Value (in Million US$), 2023-2028
  • 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, 2022 and 2028
  • Table 2: Global: Recommendation Engine Market Forecast: Breakup by Type (in Million US$), 2023-2028
  • Table 3: Global: Recommendation Engine Market Forecast: Breakup by Technology (in Million US$), 2023-2028
  • Table 4: Global: Recommendation Engine Market Forecast: Breakup by Deployment Mode (in Million US$), 2023-2028
  • Table 5: Global: Recommendation Engine Market Forecast: Breakup by Application (in Million US$), 2023-2028
  • Table 6: Global: Recommendation Engine Market Forecast: Breakup by End User (in Million US$), 2023-2028
  • Table 7: Global: Recommendation Engine Market Forecast: Breakup by Region (in Million US$), 2023-2028
  • Table 8: Global: Recommendation Engine Market: Competitive Structure
  • Table 9: Global: Recommendation Engine Market: Key Players
目次
Product Code: SR112023A4706

Abstract

The global recommendation engine market size reached US$ 3.5 Billion in 2022. Looking forward, IMARC Group expects the market to reach US$ 22.2 Billion by 2028, exhibiting a growth rate (CAGR) of 36.05% during 2022-2028.

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 2023-2028. 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 2023-2028?
  • 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