세계의 소매 빅 데이터 분석 시장 2020-2027 : 구성 요소별 (소프트웨어, 서비스), 전개별, 기업 규모별, 용도별

■ 영문 제목 : 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

Allied Market Research 회사가 출판한 조사자료로, 코드는 AMR20OC006 입니다.■ 상품코드 : AMR20OC006
■ 조사/발행회사 : Allied Market Research
■ 발행일 : 2020년 8월
■ 페이지수 : 274
■ 작성언어 : 영어
■ 보고서 형태 : PDF
■ 납품 방식 : E메일
■ 조사대상 지역 : 글로벌
■ 산업 분야 : IT
■ 판매가격 / 옵션 (부가세별도)
Single UserUSD5,769 ⇒환산₩6,345,900견적의뢰/주문/질문
5 UserUSD6,450 ⇒환산₩7,095,000견적의뢰/주문/질문
Enterprise UserUSD8,995 ⇒환산₩9,894,500견적의뢰/구입/질문
가격옵션 설명
- 지불하실 금액은 상기 원화금액에 부가세(10%)를 더한 금액입니다.
- 납기는 즉일~2일소요됩니다. 3일이상 소요되는 경우는 별도표기 또는 연락드립니다.
- 지불방법은 계좌이체/무통장입금 또는 카드결제이며, 세금계산서 발행 가능합니다.
본 조사 리포트는 세계의 소매 빅 데이터 분석시장을 조사/분석하여, 소개, 개요, 시장 동향, 구성 요소별 (소프트웨어, 서비스) 분석, 전개별 분석, 기업 규모별 분석, 용도별 분석, 지역별 분석, 경쟁 상황, 기업 정보 등의 항목을 게재하고 있습니다.

・ 소개
・ 개요
・ 시장 동향
・ 세계의 소매 빅 데이터 분석 시장규모 : 구성 요소별 (소프트웨어, 서비스)
・ 세계의 소매 빅 데이터 분석 시장규모 : 전개별
・ 세계의 소매 빅 데이터 분석 시장규모 : 기업 규모별
・ 세계의 소매 빅 데이터 분석 시장규모 : 용도별
・ 세계의 소매 빅 데이터 분석 시장규모 : 지역별
・ 경쟁 상황
・ 기업 정보
■ 보고서 개요

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

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

■ 보고서 목차

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

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 (%)
※본 조사보고서 [세계의 소매 빅 데이터 분석 시장 2020-2027 : 구성 요소별 (소프트웨어, 서비스), 전개별, 기업 규모별, 용도별] (코드 : AMR20OC006) 판매에 관한 면책사항을 반드시 확인하세요.
※본 조사보고서 [세계의 소매 빅 데이터 분석 시장 2020-2027 : 구성 요소별 (소프트웨어, 서비스), 전개별, 기업 규모별, 용도별] 에 대해서 E메일 문의는 여기를 클릭하세요.