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市場調查報告書

零售行業大數據分析的全球市場:按組件,部署類型,公司規模,應用,2020-2027的機會分析和行業預測

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

出版商 Allied Market Research 商品編碼 963633
出版日期 內容資訊 英文 274 Pages
商品交期: 2-3個工作天內
價格
零售行業大數據分析的全球市場:按組件,部署類型,公司規模,應用,2020-2027的機會分析和行業預測 Big Data Analytics in Retail Market by Component, Deployment, Enterprise Size, and Application : Global Opportunity Analysis and Industry Forecast, 2020-2027
出版日期: 2021年05月27日內容資訊: 英文 274 Pages
簡介

零售行業的大數據分析技術可用於檢測客戶行為,發現客戶購物時的模式和趨勢,提高客戶服務質量並提高客戶滿意度。可以固定住。如今,市場已經為客戶細分,客戶忠誠度分析,價格分析,交叉銷售,供應鏈管理,需求預測,市場籃子分析,財務管理和固定資產管理等運營解決方案。

市場擴張的動力是在大數據分析工具上的支出增加,提供個性化客戶體驗以增加銷售的需求,引入以客戶為中心的策略以及零售業中的大數據。諸如提高對電子商務部門分析和增長優勢的認識等因素。將機器學習和AI等新技術集成到大數據分析中也可能會創造新的市場機會。

本報告調查了零售行業的全球大數據分析市場,包括市場概況,組成,部署類型,公司規模,應用,區域分析,競爭狀況,公司概況我們提供諸如此類的信息。

目錄

第1章簡介

第2章執行摘要

第3章市場概述

  • 市場定義和範圍
  • 波特的五力分析
  • 主要公司的定位
  • 案例研究
  • 市場動態
    • 促進因素
      • 增加在大數據分析工具上的支出
      • 需要提供個性化的客戶體驗
      • 電子商務領域的增長
    • 抑製器
      • 從不同系統收集和整理數據
      • 收集客戶數據
    • 市場機會
      • 集成新技術,例如物聯網,人工智能和機器學習
      • 零售行業對預測分析的需求不斷增長
  • 新的冠狀病毒感染(COVID-19)的影響
    • 對市場規模的影響
    • 消費者趨勢,偏好,對預算的影響
    • 監管框架
    • 經濟影響
    • 大公司應對負面影響的策略
    • 市場機會

第4章市場分析:按組成部分

  • 概述
  • 軟件
  • 服務

第5章市場分析:按部署類型

  • 概述
  • 內部部署

第6章市場分析:按組織規模

  • 概述
  • 大公司
  • 中小企業

第7章市場分析:按應用

  • 概述
  • 銷售和市場分析
  • 供應鏈運作管理
  • 商品分析
  • 客戶分析
  • 其他

第8章市場分析:按地區

  • 概述
  • 北美
    • 美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 其他
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 澳大利亞
    • 其他
  • 拉丁美洲,中東,非洲

第9章競爭情況

  • 競爭儀表板
  • 主要成功策略
  • 主要動作
    • 新產品發佈
    • 聯盟
    • 收購
    • 產品開發
    • 業務擴展
    • 合作
    • 合同

第10章公司簡介

  • 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
目錄
Product Code: A02451

Big data analytics in retail enables detecting customer behavior, discovering customer shopping patterns and trends, improving 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, and finance and fixed asset management.

Rise in spending on big data analytics tools, increase in need to deliver personalized customer experience to increase sales, surge in adoption of customer-centric strategies, and rise in awareness regarding benefits of big data analytics in retail are major factors that fuel growth of the big data analytics in retail market. In addition, rise in growth of the e-commerce sector also propels growth of this market. However, issues in collecting and collating data from disparate systems are 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 services. 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 big data in retail market along with current trends and future estimations to elucidate imminent investment pockets.
  • Information about key drivers, restrains, and opportunities and their impact analysis 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 big data in retail storage market for the period 2020-2028 is provided to determine the market potential.

KEY MARKET SEGMENTS

BY COMPONENT

  • Software
  • Services

BY DEPLOYMENT TYPE

  • On-Premise
  • Cloud

BY Organization Size

  • Large Enterprise
  • Small & Medium Enterprise

By Applications

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

BY REGION

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

KEY MARKET PLAYERS

  • Alteryx Inc
  • IBM Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • Qlik Technologies Inc.,
  • RetailNext
  • SAP SE
  • SAS Institute
  • 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
  • 2.1.2Top 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

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 (%)