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963633

小売業界向けビッグデータ分析の世界市場:コンポーネント別、デプロイメント形態別、企業規模別、用途別の機会分析と業界予測、2020年~2027年

Big Data Analytics in Retail Market by Component, Deployment, Enterprise Size, and Application : Global Opportunity Analysis and Industry Forecast, 2020-2027

出版日: | 発行: Allied Market Research | ページ情報: 英文 274 Pages | 納期: 2-3営業日

価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=105.49円
小売業界向けビッグデータ分析の世界市場:コンポーネント別、デプロイメント形態別、企業規模別、用途別の機会分析と業界予測、2020年~2027年
出版日: 2020年08月31日
発行: Allied Market Research
ページ情報: 英文 274 Pages
納期: 2-3営業日
  • 全表示
  • 概要
  • 図表
  • 目次
概要

小売業界向けのビッグデータ分析技術を使えば、顧客の行動を検出し、顧客がショッピングを行う際のパターンと動向を発見し、顧客サービスの品質を向上させ、顧客の満足度を向上させ、つなぎとめることができます。現在市場には、顧客のセグメンテーション、顧客ロイヤルティ分析、価格分析、クロスセル、サプライチェーン管理、需要予測、マーケットバスケット分析、財務管理、固定資産管理などの業務に対応するソリューションが投入されています。

市場拡大の原動力となるのは、ビッグデータ分析ツールへの支出増加、売り上げを伸ばすためパーソナル化されたカスタマーエクスペリエンスを提供する必要性、顧客中心の戦略の導入、小売業界でのビッグデータ分析の利点に関する認識の高まり、eコマース部門の成長などの要因です。また機械学習やAIなどの新技術をビッグデータ分析に統合することで新たな市場機会が生まれる可能性もあります。

当レポートは、世界の小売業界向けビッグデータ分析市場を調査したもので、市場の概要、コンポーネント別、デプロイメント形態別、企業規模別、用途別、地域別の分析、競合情勢、企業プロファイルなどの情報を提供しています。

目次

第1章 イントロダクション

第2章 エグゼクティブサマリー

第3章 市場の概要

  • 市場の定義と範囲
  • ポーターのファイブフォース分析
  • 主要企業のポジショニング
  • ケーススタディ
  • 市場の力学
    • 促進要因
      • ビッグデータ分析ツールへの支出の増加
      • パーソナル化されたカスタマーエクスペリエンスを提供する必要性
      • eコマース部門の成長
    • 抑制要因
      • 異なるシステムからのデータの収集と照合
      • 顧客データの収集
    • 市場機会
      • IoT、AI、機械学習などの新技術の統合
      • 小売業界における予測分析の需要拡大
  • 新型コロナウイルス感染症(COVID-19)の影響
    • 市場規模への影響
    • 消費者の動向、好み、予算への影響
    • 規制の枠組み
    • 経済的影響
    • マイナスの影響に取り組むための主要企業の戦略
    • 市場機会

第4章 市場分析:コンポーネント別

  • 概要
  • ソフトウェア
  • サービス

第5章 市場分析:デプロイメント形態別

  • 概要
  • オンプレミス
  • クラウド

第6章 市場分析:組織規模別

  • 概要
  • 大企業
  • 中小企業

第7章 市場分析:用途別

  • 概要
  • 販売、マーケティング分析
  • サプライチェーンの運用管理
  • マーチャンダイジング分析
  • 顧客分析
  • その他

第8章 市場分析:地域別

  • 概要
  • 北米
    • 米国
    • カナダ
  • 欧州
    • 英国
    • ドイツ
    • フランス
    • その他
  • アジア太平洋
    • 中国
    • インド
    • 日本
    • オーストラリア
    • その他
  • ラテンアメリカ、中東、アフリカ

第9章 競合情勢

  • 競合ダッシュボード
  • 主な成功戦略
  • 主な動き
    • 新製品発売
    • 提携
    • 買収
    • 製品開発
    • 事業拡大
    • 協力
    • 契約

第10章 企業プロファイル

  • ADOBE INC.
  • CISCO SYSTEMS, INC.
  • INTERNATIONAL BUSINESS MACHINES CORPORATION
  • ORACLE CORPORATION
  • SAP SE
  • SAS INSTITUTE INC.
  • SISENSE INC.
  • TERADATA CORPORATION
  • TIBCO SOFTWARE INC.
  • TABLEAU SOFTWARE
図表

LIST OF TABLES

  • TABLE 01.BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY COMPONENT, 2019-2027 ($MILLION)
  • TABLE 02.BIG DATA ANALYTICS IN RETAIL MARKET REVENUE FOR SOFTWARE, BY REGION, 2019-2027 ($MILLION)
  • TABLE 03.BIG DATA ANALYTICS IN RETAIL MARKET REVENUE FOR SERVICE, BY REGION , 2019-2027 ($MILLION)
  • TABLE 04.BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY DEPLOYMENT 2019-2027 ($MILLION)
  • TABLE 05.BIG DATA ANALYTICS IN RETAIL MARKET REVENUE FOR ON PREMISE, BY REGION, 2019-2027 ($MILLION)
  • TABLE 06.BIG DATA ANALYTICS IN RETAIL MARKET REVENUE FOR CLOUD, BY REGION, 2019-2027 ($MILLION)
  • TABLE 07.BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY ORGANIZATION SIZE 2019-2027 ($MILLION)
  • TABLE 08.BIG DATA ANALYTICS IN RETAIL MARKET REVENUE FOR LARGE ENTERPRISES, BY REGION, 2019-2027 ($MILLION)
  • TABLE 09.BIG DATA ANALYTICS IN RETAIL MARKET REVENUE FOR SMES, BY REGION, 2019-2027 ($MILLION)
  • TABLE 10.BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY APPLICATION, 2019-2027 ($MILLION)
  • TABLE 11.BIG DATA ANALYTICS IN RETAIL MARKET REVENUE FOR SALES AND MARKETING ANALYTICS, BY REGION, 2019-2027 ($MILLION)
  • TABLE 12.BIG DATA ANALYTICS IN RETAIL MARKET REVENUE FOR SUPPLY CHAIN OPERATIONS MANAGEMENT, BY REGION, 2019-2027 ($MILLION)
  • TABLE 13.BIG DATA ANALYTICS IN RETAIL MARKET REVENUE FOR MERCHANDISING ANALYTICS, BY REGION, 2019-2027 ($MILLION)
  • TABLE 14.BIG DATA ANALYTICS IN RETAIL MARKET REVENUE FOR RISK AND CUSTOMER ANALYTICS, BY REGION, 2019-2027 ($MILLION)
  • TABLE 15.BIG DATA ANALYTICS IN RETAIL MARKET REVENUE FOR OTHERS, BY REGION, 2019-2027 ($MILLION)
  • TABLE 16.BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY REGION, 2019-2027 ($MILLION)
  • TABLE 17.NORTH AMERICA BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY COMPONENT 2019-2027 ($MILLION)
  • TABLE 18.NORTH AMERICA BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY DEPLOYMENT, 2019-2027 ($MILLION)
  • TABLE 19.NORTH AMERICA BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY ORGANIZATION SIZE 2019-2027 ($MILLION)
  • TABLE 20.NORTH AMERICA BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY APPLICATION, 2019-2027 ($MILLION)
  • TABLE 21.NORTH AMERICA BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY COUNTRY, 2019-2027 ($MILLION)
  • TABLE 22.U.S. BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY COMPONENT 2019-2027 ($MILLION)
  • TABLE 23.U.S. BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY DEPLOYMENT, 2019-2027 ($MILLION)
  • TABLE 24.U.S. BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY ORGANIZATION SIZE, 2019-2027 ($MILLION)
  • TABLE 25.U.S. BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY APPLICATION, 2019-2027 ($MILLION)
  • TABLE 26.CANADA BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY COMPONENT 2019-2027 ($MILLION)
  • TABLE 27.CANADA BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY DEPLOYMENT, 2019-2027 ($MILLION)
  • TABLE 28.CANADA BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY ORGANIZATION SIZE, 2019-2027 ($MILLION)
  • TABLE 29.CANADA BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY APPLICATION, 2019-2027 ($MILLION)
  • TABLE 30.EUROPE BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY COMPONENT 2019-2027 ($MILLION)
  • TABLE 31.EUROPE BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY DEPLOYMENT, 2019-2027 ($MILLION)
  • TABLE 32.EUROPE BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY ORGANIZATION SIZE 2019-2027 ($MILLION)
  • TABLE 33.EUROPE BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY APPLICATION, 2019-2027 ($MILLION)
  • TABLE 34.EUROPE BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY COUNTRY, 2019-2027 ($MILLION)
  • TABLE 35.UK BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY COMPONENT 2019-2027 ($MILLION)
  • TABLE 36.UK BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY DEPLOYMENT, 2019-2027 ($MILLION)
  • TABLE 37.UK BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY ORGANIZATION SIZE, 2019-2027 ($MILLION)
  • TABLE 38.UK BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY APPLICATION, 2019-2027 ($MILLION)
  • TABLE 39.GERMANY BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY COMPONENT 2019-2027 ($MILLION)
  • TABLE 40.GERMANY BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY DEPLOYMENT, 2019-2027 ($MILLION)
  • TABLE 41.GERMANY BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY ORGANIZATION SIZE, 2019-2027 ($MILLION)
  • TABLE 42.GERMANY BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY APPLICATION, 2019-2027 ($MILLION)
  • TABLE 43.FRANCE BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY COMPONENT 2019-2027 ($MILLION)
  • TABLE 44.FRANCE BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY DEPLOYMENT, 2019-2027 ($MILLION)
  • TABLE 45.FRANCE BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY ORGANIZATION SIZE, 2019-2027 ($MILLION)
  • TABLE 46.FRANCE BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY APPLICATION, 2019-2027 ($MILLION)
  • TABLE 47.REST OF EUROPE BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY COMPONENT 2019-2027 ($MILLION)
  • TABLE 48.REST OF EUROPE BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY DEPLOYMENT, 2019-2027 ($MILLION)
  • TABLE 49.REST OF EUROPE BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY ORGANIZATION SIZE, 2019-2027 ($MILLION)
  • TABLE 50.REST OF EUROPE BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY APPLICATION, 2019-2027 ($MILLION)
  • TABLE 51.ASIA-PACIFIC BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY COMPONENT 2019-2027 ($MILLION)
  • TABLE 52.ASIA-PACIFIC BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY DEPLOYMENT, 2019-2027 ($MILLION)
  • TABLE 53.ASIA-PACIFIC BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY ORGANIZATION SIZE 2019-2027 ($MILLION)
  • TABLE 54.ASIA-PACIFIC BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY APPLICATION, 2019-2027 ($MILLION)
  • TABLE 55.ASIA-PACIFIC BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY COUNTRY, 2019-2027 ($MILLION)
  • TABLE 56.CHINA BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY COMPONENT 2019-2027 ($MILLION)
  • TABLE 57.CHINA BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY DEPLOYMENT, 2019-2027 ($MILLION)
  • TABLE 58.CHINA BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY ORGANIZATION SIZE, 2019-2027 ($MILLION)
  • TABLE 59.CHINA BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY APPLICATION, 2019-2027 ($MILLION)
  • TABLE 60.INDIA BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY COMPONENT 2019-2027 ($MILLION)
  • TABLE 61.INDIA BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY DEPLOYMENT, 2019-2027 ($MILLION)
  • TABLE 62.INDIA BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY ORGANIZATION SIZE, 2019-2027 ($MILLION)
  • TABLE 63.INDIA BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY APPLICATION, 2019-2027 ($MILLION)
  • TABLE 64.JAPAN BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY COMPONENT 2019-2027 ($MILLION)
  • TABLE 65.JAPAN BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY DEPLOYMENT, 2019-2027 ($MILLION)
  • TABLE 66.JAPAN BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY ORGANIZATION SIZE, 2019-2027 ($MILLION)
  • TABLE 67.JAPAN BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY APPLICATION, 2019-2027 ($MILLION)
  • TABLE 68.AUSTRALIA BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY COMPONENT 2019-2027 ($MILLION)
  • TABLE 69.AUSTRALIA BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY DEPLOYMENT, 2019-2027 ($MILLION)
  • TABLE 70.AUSTRALIA BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY ORGANIZATION SIZE, 2019-2027 ($MILLION)
  • TABLE 71.AUSTRALIA BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY APPLICATION, 2019-2027 ($MILLION)
  • TABLE 72.REST OF ASIA-PACIFIC BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY COMPONENT 2019-2027 ($MILLION)
  • TABLE 73.REST OF ASIA-PACIFIC BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY DEPLOYMENT, 2019-2027 ($MILLION)
  • TABLE 74.REST OF ASIA-PACIFIC BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY ORGANIZATION SIZE, 2019-2027 ($MILLION)
  • TABLE 75.REST OF ASIA-PACIFIC BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY APPLICATION, 2019-2027 ($MILLION)
  • TABLE 76.LAMEA BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY COMPONENT 2019-2027 ($MILLION)
  • TABLE 77.LAMEA BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY DEPLOYMENT, 2019-2027 ($MILLION)
  • TABLE 78.LAMEA BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY ORGANIZATION SIZE 2019-2027 ($MILLION)
  • TABLE 79.LAMEA BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY APPLICATION, 2019-2027 ($MILLION)
  • TABLE 80.LAMEA BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY COUNTRY, 2017-2025 ($MILLION)
  • TABLE 81.LATIN AMERICA BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY COMPONENT 2019-2027 ($MILLION)
  • TABLE 82.LATIN AMERICA BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY DEPLOYMENT, 2019-2027 ($MILLION)
  • TABLE 83.LATIN AMERICA BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY ORGANIZATION SIZE, 2019-2027 ($MILLION)
  • TABLE 84.LATIN AMERICA BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY APPLICATION, 2019-2027 ($MILLION)
  • TABLE 85.MIDDLE EAST BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY COMPONENT 2019-2027 ($MILLION)
  • TABLE 86.MIDDLE EAST BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY DEPLOYMENT, 2019-2027 ($MILLION)
  • TABLE 87.MIDDLE EAST BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY ORGANIZATION SIZE, 2019-2027 ($MILLION)
  • TABLE 88.MIDDLE EAST BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY APPLICATION, 2019-2027 ($MILLION)
  • TABLE 89.AFRICA BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY COMPONENT 2019-2027 ($MILLION)
  • TABLE 90.AFRICA BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY DEPLOYMENT, 2019-2027 ($MILLION)
  • TABLE 91.AFRICA BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY ORGANIZATION SIZE, 2019-2027 ($MILLION)
  • TABLE 92.AFRICA BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY APPLICATION, 2019-2027 ($MILLION)
  • TABLE 93.KEY NEW PRODUCT LAUNCHES (2016-2019)
  • TABLE 94.PARTNERSHIP (2016-2019)
  • TABLE 95.ACQUISTION (2016-2019)
  • TABLE 96.PRODUCT DEVELOPMENT (2016-2019)
  • TABLE 97.KEY EXPANSIONS (2016-2019)
  • TABLE 98.COLLABORATION (2016-2019)
  • TABLE 99.AGREEMENT (2016-2019)
  • TABLE 100.ADOBE INC.: KEY EXECUTIVES
  • TABLE 101.ADOBE INC.: COMPANY SNAPSHOT
  • TABLE 102.ADOBE INC.: OPERATING SEGMENTS
  • TABLE 103.ADOBE INC.: PRODUCT PORTFOLIO
  • TABLE 104.CISCO SYSTEMS, INC.: KEY EXECUTIVES
  • TABLE 105.CISCO SYSTEMS, INC.: COMPANY SNAPSHOT
  • TABLE 106.CISCO SYSTEMS, INC.: PRODUCT PORTFOLIO
  • TABLE 107.INTERNATIONAL BUSINESS MACHINES CORPORATION: KEY EXECUTIVES
  • TABLE 108.INTERNATIONAL BUSINESS MACHINES CORPORATION: COMPANY SNAPSHOT
  • TABLE 109.INTERNATIONAL BUSINESS MACHINES CORPORATION: OPERATING SEGMENTS
  • TABLE 110.INTERNATIONAL BUSINESS MACHINES CORPORATION: PRODUCT PORTFOLIO
  • TABLE 111.ORACLE CORPORATION: KEY EXECUTIVES
  • TABLE 112.ORACLE CORPORATION: COMPANY SNAPSHOT
  • TABLE 113.ORACLE CORPORATION: OPERATING SEGMENTS
  • TABLE 114.ORACLE CORPORATION: PRODUCT PORTFOLIO
  • TABLE 115.ORACLE CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
  • TABLE 116.SAP SE: KEY EXECUTIVES
  • TABLE 117.SAP SE: COMPANY SNAPSHOT
  • TABLE 118.SAP SE: OPERATING SEGMENTS
  • TABLE 119.SAP SE: PRODUCT PORTFOLIO
  • TABLE 120.SAS INSTITUTE INC.: KEY EXECUTIVES
  • TABLE 121.SAS INSTITUTE INC.: COMPANY SNAPSHOT
  • TABLE 122.SAS INSTITUTE INC.: PRODUCT PORTFOLIO
  • TABLE 123.SISENSE INC.: KEY EXECUTIVES
  • TABLE 124.SISENSE INC.: COMPANY SNAPSHOT
  • TABLE 125.SISENSE INC.: PRODUCT PORTFOLIO
  • TABLE 126.TERADATA CORPORATION: COMPANY SNAPSHOT
  • TABLE 127.TERADATA CORPORATION: PRODUCT PORTFOLIO
  • TABLE 128.TIBCO SOFTWARE INC.: KEY EXECUTIVES
  • TABLE 129.TIBCO SOFTWARE INC.: COMPANY SNAPSHOT
  • TABLE 130.TIBCO SOFTWARE INC.: PRODUCT PORTFOLIO
  • TABLE 131.TABLEAU SOFTWARE: KEY EXECUTIVES
  • TABLE 132.TABLEAU SOFTWARE: COMPANY SNAPSHOT
  • TABLE 133.TABLEAU SOFTWARE: PRODUCT PORTFOLIO

LIST OF FIGURES

  • FIGURE 01.KEY MARKET SEGMENTS
  • FIGURE 02.BIG DATA ANALYTICS IN RETAIL MARKET, 2019-2027
  • FIGURE 03.BIG DATA ANALYTICS IN RETAIL MARKET, BY REGION, 2019-2027
  • FIGURE 04.TOP IMPACTING FACTORS
  • FIGURE 05.TOP INVESTMENT POCKETS
  • FIGURE 06.MODERATE BARGAINING POWER OF SUPPLIERS
  • FIGURE 07.LOW-TO-MODERATE BARGAINING POWER OF BUYERS
  • FIGURE 08.LOW-TO-MODERATE THREAT OF SUBSTITUTES
  • FIGURE 09.MODERATE-TO-HIGH THREAT OF NEW ENTRANTS
  • FIGURE 10.LOW-TO-HIGH COMPETITIVE RIVALRY
  • FIGURE 11.BIG DATA ANALYTICS IN RETAIL ANLYTICS MARKET: KEY PLAYER POSITIONING
  • FIGURE 12.BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY COMPONENT, 2019-2027($BILLION)
  • FIGURE 13.COMPARATIVE SHARE ANALYSIS OF BIG DATA ANALYTICS IN RETAIL MARKET FOR SOFTWARE, BY REGION, 2019 & 2027 (%)
  • FIGURE 14.COMPARATIVE SHARE ANALYSIS OF BIG DATA ANALYTICS IN RETAIL MARKET FOR SERVICE, BY REGION, 2019 & 2027 (%)
  • FIGURE 15.BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY DEPLOYMENT, 2019-2027($BILLION)
  • FIGURE 16.COMPARATIVE SHARE ANALYSIS OF BIG DATA ANALYTICS IN RETAIL MARKET FOR ON PREMISE, BY REGION, 2019 & 2027 (%)
  • FIGURE 17.COMPARATIVE SHARE ANALYSIS OF BIG DATA ANALYTICS IN RETAIL MARKET FOR CLOUD, BY REGION, 2019 & 2027 (%)
  • FIGURE 18.BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY ORGANIZATION SIZE, 2019-2027($BILLION)
  • FIGURE 19.COMPARATIVE SHARE ANALYSIS OF BIG DATA ANALYTICS IN RETAIL MARKET FOR LARGE ENTERPRISES, BY REGION, 2019 & 2027 (%)
  • FIGURE 20.COMPARATIVE SHARE ANALYSIS OF BIG DATA ANALYTICS IN RETAIL MARKET FOR SMES, BY REGION, 2019 & 2027 (%)
  • FIGURE 21.BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, BY APPLICATION, 2019-2027($BILLION)
  • FIGURE 22.COMPARATIVE SHARE ANALYSIS OF BIG DATA ANALYTICS IN RETAIL MARKET FOR SALES AND MARKETING ANALYTICS, BY REGION, 2019 & 2027 (%)
  • FIGURE 23.COMPARATIVE SHARE ANALYSIS OF BIG DATA ANALYTICS IN RETAIL MARKET FOR SUPPLY CHAIN OPERATIONS MANAGEMENT, BY REGION, 2019 & 2027 (%)
  • FIGURE 24.COMPARATIVE SHARE ANALYSIS OF BIG DATA ANALYTICS IN RETAIL MARKET FOR MERCHANDISING ANALYTICS, BY REGION, 2019 & 2027 (%)
  • FIGURE 25.COMPARATIVE SHARE ANALYSIS OF BIG DATA ANALYTICS IN RETAIL MARKET FOR CUSTOMER ANALYTICS, BY REGION, 2019 & 2027 (%)
  • FIGURE 26.COMPARATIVE SHARE ANALYSIS OF BIG DATA ANALYTICS IN RETAIL MARKET FOR OTHERS, BY REGION, 2019 & 2027 (%)
  • FIGURE 27.U.S. BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, 2019-2027 ($MILLION)
  • FIGURE 28.CANADA BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, 2019-2027 ($MILLION)
  • FIGURE 29.UK BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, 2019-2027 ($MILLION)
  • FIGURE 30.GERMANY BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, 2019-2027 ($MILLION)
  • FIGURE 31.FRANCE BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, 2019-2027 ($MILLION)
  • FIGURE 32.REST OF EUROPE BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, 2019-2027 ($MILLION)
  • FIGURE 33.CHINA BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, 2019-2027 ($MILLION)
  • FIGURE 34.INDIA BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, 2019-2027 ($MILLION)
  • FIGURE 35.JAPAN BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, 2019-2027 ($MILLION)
  • FIGURE 36.AUSTRALIA BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, 2019-2027 ($MILLION)
  • FIGURE 37.REST OF ASIA-PACIFIC BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, 2019-2027 ($MILLION)
  • FIGURE 38.LATIN AMERICA BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, 2019-2027 ($MILLION)
  • FIGURE 39.MIDDLE EAST BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, 2019-2027 ($MILLION)
  • FIGURE 40.AFRICA BIG DATA ANALYTICS IN RETAIL MARKET REVENUE, 2019-2027 ($MILLION)
  • FIGURE 41.COMPETITIVE DASHBOARD
  • FIGURE 42.COMPETITIVE DASHBOARD
  • FIGURE 43.COMPETITIVE HEATMAP OF KEY PLAYERS
  • FIGURE 44.TOP WINNING STRATEGIES, BY YEAR, 2016-2019
  • FIGURE 45.TOP WINNING STRATEGIES, BY DEVELOPMENT, 2016-2019
  • FIGURE 46.TOP WINNING STRATEGIES, BY COMPANY, 2016-2019
  • FIGURE 47.R&D EXPENDITURE, 2016-2018 ($MILLION)
  • FIGURE 48.ADOBE INC.: REVENUE, 2016-2018 ($MILLION)
  • FIGURE 49.ADOBE INC.: REVENUE SHARE BY SEGMENT, 2018 (%)
  • FIGURE 50.ADOBE INC.: REVENUE SHARE BY REGION, 2018 (%)
  • FIGURE 51.R&D EXPENDITURE, 2016-2018 ($MILLION)
  • FIGURE 52.CISCO SYSTEMS, INC.: REVENUE, 2016-2018 ($MILLION)
  • FIGURE 53.CISCO SYSTEMS, INC.: REVENUE SHARE BY REGION, 2018 (%)
  • FIGURE 54.R&D EXPENDITURE, 2016-2018 ($MILLION)
  • FIGURE 55.INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE, 2016-2018 ($MILLION)
  • FIGURE 56.INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE SHARE BY SEGMENT, 2018 (%)
  • FIGURE 57.INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE SHARE BY REGION, 2018 (%)
  • FIGURE 58.R&D EXPENDITURE, 2016-2018 ($MILLION)
  • FIGURE 59.ORACLE CORPORATION: REVENUE, 2016-2018 ($MILLION)
  • FIGURE 60.ORACLE CORPORATION: REVENUE SHARE BY SEGMENT, 2018 (%)
  • FIGURE 61.ORACLE CORPORATION: REVENUE SHARE BY REGION, 2018 (%)
  • FIGURE 62.R&D EXPENDITURE, 2016-2018 ($MILLION)
  • FIGURE 63.SAP SE: REVENUE, 2016-2018 ($MILLION)
  • FIGURE 64.SAP SE: REVENUE SHARE BY SEGMENT, 2018 (%)
  • FIGURE 65.SAP SE: REVENUE SHARE BY REGION, 2018 (%)
  • FIGURE 66.SAS INSTITUTE INC.: REVENUE, 2016-2018 ($MILLION)
  • FIGURE 67.TERADATA CORPORATION: KEY EXECUTIVES
  • FIGURE 68.R&D EXPENDITURE, 2016-2018 ($MILLION)
  • FIGURE 69.TABLEAU SOFTWARE: REVENUE, 2016-2018 ($MILLION)
  • FIGURE 70.TABLEAU SOFTWARE: REVENUE SHARE BY REGION, 2018 (%)
目次
Product Code: A02451

Title:
Big Data Analytics in Retail Market by Component (Software and Services), Deployment (On-premise and Cloud), Enterprise Size (Large Enterprises and Small & Medium-sized Enterprises), and Application (Sales & Marketing Analytics, Supply Chain Operations Management, Merchandising Analytics, Customer Analytics, and Others): Global Opportunity Analysis and Industry Forecast, 2020-2027.

Big data analytics in retail can enable detecting customer behavior, discovering customer shopping patterns and trends, improving the quality of customer service, and achieving better customer retention and satisfaction. It can be used by retailers for customer segmentation, customer loyalty analysis, pricing analysis, cross selling, supply chain management, demand forecasting, market basket analysis, finance and fixed asset management and more.

Increase in spending on big data analytics tools, rise in need to deliver personalized customer experience to increase sales, surge in adoption of customer-centric strategies as well as rise in awareness about the benefits of big data analytics in retail are the major factors that fuel the growth of the big data analytics in retail market. In addition, increasing growth of e-commerce sector is also propelling the growth of this market. However, issues in collecting and collating the data from disparate systems is expected to hinder the big data analytics in retail market growth. On the contrary, integration of new technologies such as machine learning and AI in big data analytics in retail is expected to provide lucrative opportunities for the market growth in the coming years.

The big data analytics in retail market is segmented on the basis of component, deployment, organization size, application, and region. By component, the market is categorized into software and service. On the basis of deployment, it is classified into on-premise and cloud. As per organization size, market is divided into large enterprises and small & medium sized enterprises (SMEs). Depending on application, it is divided into sales & marketing analytics, supply chain operations management, merchandising analytics, customer analytics and others. By region, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

The company profiles in the big data analytics in retail market players included in this report are Alteryx Inc., IBM, Microsoft, Microstrategy Inc., Oracle Corporation, Qlik Technologies Inc., RetailNext, SAP SE, SAS institute, and Teradata.

KEY BENEFITS FOR STAKEHOLDERS

The study provides an in-depth analysis of the global big data analytics in retail market along with the current & future trends to elucidate the imminent investment pockets.

Information about key drivers, restrains, and opportunities and their impact analyses on the market size is provided in the report.

Porter's five forces analysis illustrates the potency of buyers and suppliers operating in the industry.

The quantitative analysis of the global big data analytics in retail market from 2019 to 2027 is provided to determine the market potential.

KEY MARKET SEGMENTS

By Component

  • Software
  • Services

By Deployment

  • On-premise
  • Cloud

By Enterprise Size

  • Large Enterprises
  • Small & Medium Enterprises (SMEs)

By Application

  • Sales and marketing analytics
  • Supply chain operations management
  • Merchandising analytics
  • Customer analytics
  • Others

By Region

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Rest of Europe
  • Asia-Pacific
  • China
  • India
  • Japan
  • Australia
  • Rest of Asia-Pacific
  • LAMEA
  • Latin America
  • Middle East
  • Africa

KEY MARKET PLAYERS

  • Alteryx Inc.
  • IBM
  • Microsoft
  • Microstrategy Inc.
  • Oracle Corporation
  • Qlik Technologies Inc.
  • RetailNext
  • SAP SE
  • SAS Institute, Inc.
  • Teradata

TABLE OF CONTENTS

CHAPTER 1:INTRODUCTION

  • 1.1.REPORT DESCRIPTION
  • 1.2.KEY BENEFITS FOR STAKEHOLDERS
  • 1.3.KEY MARKET SEGMENTS
  • 1.4.RESEARCH METHODOLOGY
    • 1.4.1.Secondary research
    • 1.4.2.Primary research
    • 1.4.3.Analyst tools & models

CHAPTER 2:EXECUTIVE SUMMARY

  • 2.1.KEY FINDINGS
    • 2.1.1.Top impacting factors
    • 2.1.2.Top investment pockets
  • 2.2.CXO PERSPECTIVE

CHAPTER 3:MARKET OVERVIEW

  • 3.1.MARKET DEFINITION AND SCOPE
  • 3.2.PORTER'S FIVE FORCES ANALYSIS
  • 3.3.KEY PLAYER POSITIONING
  • 3.4.CASE STUDIES
    • 3.4.1.Case Study 01
    • 3.4.2.Case Study 02
  • 3.5.MARKET DYNAMICS
    • 3.5.1.Drivers
      • 3.5.1.1.Increase in spending on big data analytics tools
      • 3.5.1.2.Rise in need to deliver personalized customer experience to increase sales
      • 3.5.1.3.Increasing growth of e-commerce sector
    • 3.5.2.Restraints
      • 3.5.2.1.Collecting and collating the data from disparate systems
      • 3.5.2.2.To capture customer data
    • 3.5.3.Opportunity
      • 3.5.3.1.Integration of new technologies such as IoT, AI and machine learning in big data analytics in retail
      • 3.5.3.2.Growing demand of predictive analytics in retail
  • 3.6.IMPACT ANALYSIS: COVID-19 ON BIG DATA IN RETAIL ANALYTICS MARKET
    • 3.6.1.Impact on market size
    • 3.6.2.Consumer trends, preferences, and budget impact
    • 3.6.3.Regulatory framework
    • 3.6.4.Economic impact
    • 3.6.5.Key player strategies to tackle negative impact
    • 3.6.6.Opportunity window (due to COVID outbreak)

CHAPTER 4:BIG DATA ANALYTICS IN RETAIL MARKET, BY COMPONENT

  • 4.1.OVERVIEW
  • 4.2.SOFTWARE
    • 4.2.1.Key market trends, growth factors, and opportunities
    • 4.2.2.Market size and forecast, by region
    • 4.2.3.Market analysis, by region
  • 4.3.SERVICE
    • 4.3.1.Key market trends, growth factors, and opportunities
    • 4.3.2.Market size and forecast, by region
    • 4.3.3.Market analysis, by region

CHAPTER 5:BIG DATA ANALYTICS IN RETAIL MARKET, BY DEPLOYMENT

  • 5.1.OVERVIEW
  • 5.2.ON PREMISE
    • 5.2.1.Key market trends, growth factors, and opportunities
    • 5.2.2.Market size and forecast, by region
    • 5.2.3.Market analysis, by region
  • 5.3.CLOUD
    • 5.3.1.Key market trends, growth factors, and opportunities
    • 5.3.2.Market size and forecast, by region
    • 5.3.3.Market analysis, by region

CHAPTER 6:BIG DATA ANALYTICS IN RETAIL MARKET, BY ORGANIZATION SIZE

  • 6.1.OVERVIEW
  • 6.2.LARGE ENTERPRISES
    • 6.2.1.Key market trends, growth factors, and opportunities
    • 6.2.2.Market size and forecast, by region
    • 6.2.3.Market analysis, by region
  • 6.3.SMES
    • 6.3.1.Key market trends, growth factors, and opportunities
    • 6.3.2.Market size and forecast, by region
    • 6.3.3.Market analysis, by region

CHAPTER 7:BIG DATA ANALYTICS IN RETAIL MARKET, BY APPLICATION

  • 7.1.OVERVIEW
  • 7.2.SALES AND MARKETING ANALYTICS
    • 7.2.1.Key market trends, growth factors, and opportunities
    • 7.2.2.Market size and forecast, by region
    • 7.2.3.Market analysis, by region
  • 7.3.SUPPLY CHAIN OPERATIONS MANAGEMENT
    • 7.3.1.Key market trends, growth factors, and opportunities
    • 7.3.2.Market size and forecast, by region
    • 7.3.3.Market analysis, by region
  • 7.4.MERCHANDISING ANALYTICS
    • 7.4.1.Key market trends, growth factors, and opportunities
    • 7.4.2.Market size and forecast, by region
    • 7.4.3.Market analysis, by region
  • 7.5.CUSTOMER ANALYTICS
    • 7.5.1.Key market trends, growth factors, and opportunities
    • 7.5.2.Market size and forecast, by region
    • 7.5.3.Market analysis, by region
  • 7.6.OTHERS
    • 7.6.1.Key market trends, growth factors, and opportunities
    • 7.6.2.Market size and forecast, by region
    • 7.6.3.Market analysis, by region

CHAPTER 8:BIG DATA ANALYTICS IN RETAIL MARKET, BY REGION

  • 8.1.OVERVIEW
  • 8.2.NORTH AMERICA
    • 8.2.1.Key market trends, growth factors and opportunities
    • 8.2.2.Market size and forecast, by component
    • 8.2.3.Market size and forecast, by deployment
    • 8.2.4.Market size and forecast, by organization size
    • 8.2.5.Market size and forecast, by application
    • 8.2.6.Market analysis by country
      • 8.2.6.1.U.S.
      • 8.2.6.1.1.Market size and forecast, by component
      • 8.2.6.1.2.Market size and forecast, by deployment
      • 8.2.6.1.3.Market size and forecast, by organization size
      • 8.2.6.1.4.Market size and forecast, by application
      • 8.2.6.2.Canada
      • 8.2.6.2.1.Market size and forecast, by component
      • 8.2.6.2.2.Market size and forecast, by deployment
      • 8.2.6.2.3.Market size and forecast, by organization size
      • 8.2.6.2.4.Market size and forecast, by application
  • 8.3.EUROPE
    • 8.3.1.Key market trends, growth factors and opportunities
    • 8.3.2.Market size and forecast, by component
    • 8.3.3.Market size and forecast, by deployment
    • 8.3.4.Market size and forecast, by organization size
    • 8.3.5.Market size and forecast, by application
    • 8.3.6.Market analysis by country
      • 8.3.6.1.UK
      • 8.3.6.1.1.Market size and forecast, by component
      • 8.3.6.1.2.Market size and forecast, by deployment
      • 8.3.6.1.3.Market size and forecast, by organization size
      • 8.3.6.1.4.Market size and forecast, by application
      • 8.3.6.2.Germany
      • 8.3.6.2.1.Market size and forecast, by component
      • 8.3.6.2.2.Market size and forecast, by deployment
      • 8.3.6.2.3.Market size and forecast, by organization size
      • 8.3.6.2.4.Market size and forecast, by application
      • 8.3.6.3.France
      • 8.3.6.3.1.Market size and forecast, by component
      • 8.3.6.3.2.Market size and forecast, by deployment
      • 8.3.6.3.3.Market size and forecast, by organization size
      • 8.3.6.3.4.Market size and forecast, by application
      • 8.3.6.4.Rest of Europe
      • 8.3.6.4.1.Market size and forecast, by component
      • 8.3.6.4.2.Market size and forecast, by deployment
      • 8.3.6.4.3.Market size and forecast, by organization size
      • 8.3.6.4.4.Market size and forecast, by application
  • 8.4.ASIA-PACIFIC
    • 8.4.1.Key market trends, growth factors and opportunities
    • 8.4.2.Market size and forecast, by component
    • 8.4.3.Market size and forecast, by deployment
    • 8.4.4.Market size and forecast, by organization size
    • 8.4.5.Market size and forecast, by application
    • 8.4.6.Market analysis by country
      • 8.4.6.1.China
      • 8.4.6.1.1.Market size and forecast, by component
      • 8.4.6.1.2.Market size and forecast, by deployment
      • 8.4.6.1.3.Market size and forecast, by organization size
      • 8.4.6.1.4.Market size and forecast, by application
      • 8.4.6.2.India
      • 8.4.6.2.1.Market size and forecast, by component
      • 8.4.6.2.2.Market size and forecast, by deployment
      • 8.4.6.2.3.Market size and forecast, by organization size
      • 8.4.6.2.4.Market size and forecast, by application
      • 8.4.6.3.Japan
      • 8.4.6.3.1.Market size and forecast, by component
      • 8.4.6.3.2.Market size and forecast, by deployment
      • 8.4.6.3.3.Market size and forecast, by organization size
      • 8.4.6.3.4.Market size and forecast, by application
      • 8.4.6.4.Australia
      • 8.4.6.4.1.Market size and forecast, by component
      • 8.4.6.4.2.Market size and forecast, by deployment
      • 8.4.6.4.3.Market size and forecast, by organization size
      • 8.4.6.4.4.Market size and forecast, by application
      • 8.4.6.5.Rest of Asia-Pacific
      • 8.4.6.5.1.Market size and forecast, by component
      • 8.4.6.5.2.Market size and forecast, by deployment
      • 8.4.6.5.3.Market size and forecast, by organization size
      • 8.4.6.5.4.Market size and forecast, by application
  • 8.5.LAMEA
    • 8.5.1.Key market trends, growth factors and opportunities
    • 8.5.2.Market size and forecast, by component
    • 8.5.3.Market size and forecast, by deployment
    • 8.5.4.Market size and forecast, by organization size
    • 8.5.5.Market size and forecast, by application
    • 8.5.6.Market analysis by country
      • 8.5.6.1.Latin America
      • 8.5.6.1.1.Market size and forecast, by component
      • 8.5.6.1.2.Market size and forecast, by deployment
      • 8.5.6.1.3.Market size and forecast, by organization size
      • 8.5.6.1.4.Market size and forecast, by application
      • 8.5.6.2.Middle East
      • 8.5.6.2.1.Market size and forecast, by component
      • 8.5.6.2.2.Market size and forecast, by deployment
      • 8.5.6.2.3.Market size and forecast, by organization size
      • 8.5.6.2.4.Market size and forecast, by application
      • 8.5.6.3.Africa
      • 8.5.6.3.1.Market size and forecast, by component
      • 8.5.6.3.2.Market size and forecast, by deployment
      • 8.5.6.3.3.Market size and forecast, by organization size
      • 8.5.6.3.4.Market size and forecast, by application

CHAPTER 9:COMPETITIVE LANDSCAPE

  • 9.1.COMPETITIVE DASHBOARD
  • 9.2.TOP WINNING STRATEGIES
  • 9.3.KEY DEVELOPMENTS
    • 9.3.1.New product launches
    • 9.3.2.Partnership
    • 9.3.3.Acquisition
    • 9.3.4.Product development
    • 9.3.5.Business expansion
    • 9.3.6.Collaboration
    • 9.3.7.Agreement

CHAPTER 10:COMPANY PROFILE

  • 10.1.ADOBE INC.
    • 10.1.1.Company overview
    • 10.1.2.Key Executives
    • 10.1.3.Company snapshot
    • 10.1.4.Operating business segments
    • 10.1.5.Product portfolio
    • 10.1.6.R&D Expenditure
    • 10.1.7.Business performance
    • 10.1.8.Key strategic moves and developments
  • 10.2.CISCO SYSTEMS, INC.
    • 10.2.1.Company overview
    • 10.2.2.Key Executives
    • 10.2.3.Company snapshot
    • 10.2.4.Product portfolio
    • 10.2.5.R&D Expenditure
    • 10.2.6.Business performance
    • 10.2.7.Key strategic moves and developments
  • 10.3.INTERNATIONAL BUSINESS MACHINES CORPORATION
    • 10.3.1.Company overview
    • 10.3.2.Key Executives
    • 10.3.3.Company snapshot
    • 10.3.4.Operating business segments
    • 10.3.5.Product portfolio
    • 10.3.6.R&D Expenditure
    • 10.3.7.Business performance
    • 10.3.8.Key strategic moves and developments
  • 10.4.ORACLE CORPORATION
    • 10.4.1.Company overview
    • 10.4.2.Key executives
    • 10.4.3.Company snapshot
    • 10.4.4.Operating business segments
    • 10.4.5.Product portfolio
    • 10.4.6.R&D expenditure
    • 10.4.7.Business performance
    • 10.4.8.Key strategic moves and developments
  • 10.5.SAP SE
    • 10.5.1.Company overview
    • 10.5.2.Key Executives
    • 10.5.3.Company snapshot
    • 10.5.4.Operating business segments
    • 10.5.5.Product portfolio
    • 10.5.6.R&D Expenditure
    • 10.5.7.Business performance
    • 10.5.8.Key strategic moves and developments
  • 10.6.SAS INSTITUTE INC.
    • 10.6.1.Company overview
    • 10.6.2.Key Executives
    • 10.6.3.Company snapshot
    • 10.6.4.Product portfolio
    • 10.6.5.Business performance
    • 10.6.6.Key strategic moves and developments
  • 10.7.SISENSE INC.
    • 10.7.1.Company overview
    • 10.7.2.Key Executives
    • 10.7.3.Company snapshot
    • 10.7.4.Product portfolio
    • 10.7.5.Key strategic moves and developments
  • 10.8.TERADATA CORPORATION
    • 10.8.1.Company overview
    • 10.8.2.Key Executives
    • 10.8.3.Company snapshot
    • 10.8.4.Product portfolio
    • 10.8.5.Key strategic moves and developments
  • 10.9.TIBCO SOFTWARE INC.
    • 10.9.1.Company overview
    • 10.9.2.Key Executives
    • 10.9.3.Company snapshot
    • 10.9.4.Product portfolio
    • 10.9.5.Key strategic moves and developments
  • 10.10.TABLEAU SOFTWARE
    • 10.10.1.Company overview
    • 10.10.2.Key Executives
    • 10.10.3.Company snapshot
    • 10.10.4.Product portfolio
    • 10.10.5.R&D Expenditure
    • 10.10.6.Business performance
    • 10.10.7.Key strategic moves and developments
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