소매업 빅데이터 분석 시장 규모, 점유율, 성장 분석 : 컴포넌트별, 전개 형태별, 조직 규모별, 용도별, 지역별 - 산업 예측(2025-2032년)
Big Data Analytics in Retail Market Size, Share, and Growth Analysis, By Component (Software, Service), By Deployment (On-Premise, Cloud), By Organization Size, By Applications, By Region - Industry Forecast 2025-2032
상품코드:1670413
리서치사:SkyQuest
발행일:2025년 02월
페이지 정보:영문 183 Pages
라이선스 & 가격 (부가세 별도)
한글목차
소매업 빅데이터 분석 세계 시장 규모는 2023년 52억 6,000만 달러, 2024년 63억 8,000만 달러에서 2032년에는 296억 8,000만 달러로 성장하고, 예측 기간(2025-2032년) 동안 21.2%의 연평균 복합 성장률(CAGR)을 보일 것으로 예상됩니다.
예측 분석은 기업이 과거 데이터를 활용하여 진화하는 소비자 행동과 시장 동향에 따른 매출 성장을 예측할 수 있도록 함으로써 소매 업계의 판도를 바꾸고 있습니다. 이러한 선제적 전략을 통해 소매업체는 경쟁력을 유지하고 세계 빅데이터 분석 분야에서 큰 시장 점유율을 확보할 수 있습니다. 프로모션 전략 강화, 교차 판매 촉진, 고객 관계 육성 등 예측 분석은 수익성 향상에 중요한 역할을 하고 있습니다. 온라인과 오프라인을 막론하고 소매업체들은 소비자의 구매 패턴을 파악하고, 상품 선호도를 파악하며, 마케팅 전략을 정교화하기 위해 데이터 기반 방식을 채택하는 추세입니다. 통합 생산 시스템(IPS), 셀프 계산대 자동화, 로봇 공학 등의 혁신 기술은 체계적인 거버넌스를 통해 관리할 수 있는 데이터 통합의 잠재적 과제에도 불구하고 시장을 더욱 발전시키고 있습니다.
목차
서론
조사 목적
조사 범위
정의
조사 방법
정보 조달
2차와 1차 데이터 방법
시장 규모 예측
시장 전제조건과 제한
주요 요약
세계 시장 전망
공급과 수요 동향 분석
부문별 기회 분석
시장 역학과 전망
시장 개요
시장 규모
시장 역학
성장 촉진요인과 기회
성장 억제요인과 과제
Porter의 Five Forces 분석
주요 시장 인사이트
중요 성공 요인
경쟁 정도
주요 투자 기회
시장 생태계
시장의 매력 지수(2024년)
PESTEL 분석
거시경제 지표
밸류체인 분석
가격 분석
기술 진보
소매업 빅데이터 분석 시장 규모 : 구성요소`별&CAGR(2025-2032)
시장 개요
소프트웨어
서비스
소매업 빅데이터 분석 시장 규모 : 전개 형태별&CAGR(2025-2032)
시장 개요
온프레미스
클라우드
소매업 빅데이터 분석 시장 규모 : 조직 규모별&CAGR(2025-2032)
시장 개요
대기업
중소기업
소매업 빅데이터 분석 시장 규모 : 용도별&CAGR(2025-2032)
시장 개요
영업 및 마케팅 분석
공급망 운영 관리
머천다이징 분석
고객 분석
기타
소매업 빅데이터 분석 시장 규모 : 지역별&CAGR(2025-2032)
북미
미국
캐나다
유럽
독일
스페인
프랑스
영국
이탈리아
기타 유럽
아시아태평양
중국
인도
일본
한국
기타 아시아태평양
라틴아메리카
브라질
기타 라틴아메리카
중동 및 아프리카
GCC 국가
남아프리카공화국
기타 중동 및 아프리카
경쟁 정보
주요 5개사 비교
주요 기업의 시장 포지셔닝(2024년)
주요 시장 기업이 채택한 전략
최근 시장 동향
기업의 시장 점유율 분석(2024년)
주요 기업 개요
기업 상세
제품 포트폴리오 분석
기업 부문별 점유율 분석
전년대비 매출 비교(2022-2024년)
주요 기업 개요
Microsoft Corporation(United States)
IBM Corporation(United States)
Oracle Corporation(United States)
SAS Institute Inc.(United States)
SAP SE(Germany)
Salesforce.com Inc.(United States)
Adobe Inc.(United States)
MicroStrategy Incorporated(United States)
Teradata Corporation(United States)
Alteryx Inc.(United States)
Altair Engineering Inc.(United States)
Cloudera Inc.(United States)
Talend S.A.(France)
Splunk Inc.(United States)
EDITED(United Kingdom)
Synerise S.A.(Poland)
RetailNext Inc.(United States)
CARTO(United States)
eSite Analytics(United States)
Buxton(United States)
결론과 제안
LSH
영문 목차
영문목차
Global Big Data Analytics in Retail Market size was valued at USD 5.26 billion in 2023 and is poised to grow from USD 6.38 billion in 2024 to USD 29.68 billion by 2032, growing at a CAGR of 21.2% during the forecast period (2025-2032).
Predictive analytics is revolutionizing the retail landscape by enabling businesses to leverage historical data to forecast sales growth driven by evolving consumer behaviors and market trends. This proactive strategy empowers retailers to maintain a competitive edge and capture significant market share within the global big data analytics sector. By enhancing promotional strategies, facilitating cross-selling, and nurturing customer relationships, predictive analytics plays a crucial role in driving profitability. Retailers, both online and offline, are increasingly adopting data-driven methodologies to decipher consumer buying patterns, aligning products with preferences, and refining marketing initiatives. Innovative technologies like Integrated Production Systems (IPS), self-checkout automation, and robotics are further propelling the market forward, despite potential data integration challenges that can be managed through systematic governance.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Big Data Analytics In Retail market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Big Data Analytics In Retail Market Segments Analysis
Global Big Data Analytics in Retail Market is segmented by Component, Deployment, Organization Size, Applications and region. Based on Component, the market is segmented into Software and Service. Based on Deployment, the market is segmented into On-Premise and Cloud. Based on Organization Size, the market is segmented into Large Enterprises and SMEs. Based on Applications, the market is segmented into Sales and Marketing Analytics, Supply Chain Operations Management, Merchandising Analytics, Customer Analytics and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Global Big Data Analytics In Retail Market
The Global Big Data Analytics in Retail market is significantly driven by the transformative effects of e-commerce on traditional brick-and-mortar retailing, diminishing their dominance and highlighting the importance of data-driven strategies. A streamlined supply chain, which facilitates the efficient transition of products from suppliers to warehouses and ultimately to customers, is essential for any retail business. Big data analytics plays a pivotal role in this transformation by enabling real-time tracking of inventory and product movement, analyzing customer data to forecast purchasing trends, and even employing robotic systems for order fulfillment in expansive automated warehouses, ensuring operational efficiency and responsiveness to consumer needs.
Restraints in the Global Big Data Analytics In Retail Market
The Global Big Data Analytics in Retail market faces significant restraints primarily due to pressing security issues. Concerns surrounding fake data generation, the demand for real-time security measures, and the protection of customer data privacy are paramount. Additionally, vulnerabilities arise from remote data storage, inadequate identity governance, insufficient investments in system and network security, human errors, and the proliferation of connected devices and Internet of Things (IoT) applications. Addressing these challenges is crucial for organizations. Moreover, the rising frequency of data breaches and cyberattacks targeting customer information across various sectors poses a substantial threat to market growth.
Market Trends of the Global Big Data Analytics In Retail Market
The global Big Data analytics market in retail is experiencing significant growth, driven by the rise of edge computing solutions. With an unprecedented surge in the number of connected IoT devices-projected by the International Data Corporation (IDC) to reach 152,200 connections per minute by 2025-retailers are increasingly leveraging Machine Learning (ML) and Artificial Intelligence (AI) to analyze data in real-time. This shift towards edge computing enables faster data processing and insights generation, enhancing customer experiences and operational efficiency. As a result, demand for advanced Big Data analytics tools is set to rise, transforming the retail landscape into a data-driven ecosystem.
Table of Contents
Introduction
Objectives of the Study
Scope of the Report
Definitions
Research Methodology
Information Procurement
Secondary & Primary Data Methods
Market Size Estimation
Market Assumptions & Limitations
Executive Summary
Global Market Outlook
Supply & Demand Trend Analysis
Segmental Opportunity Analysis
Market Dynamics & Outlook
Market Overview
Market Size
Market Dynamics
Drivers & Opportunities
Restraints & Challenges
Porters Analysis
Competitive rivalry
Threat of substitute
Bargaining power of buyers
Threat of new entrants
Bargaining power of suppliers
Key Market Insights
Key Success Factors
Degree of Competition
Top Investment Pockets
Market Ecosystem
Market Attractiveness Index, 2024
PESTEL Analysis
Macro-Economic Indicators
Value Chain Analysis
Pricing Analysis
Technological Advancement
Global Big Data Analytics in Retail Market Size by Component & CAGR (2025-2032)
Market Overview
Software
Service
Global Big Data Analytics in Retail Market Size by Deployment & CAGR (2025-2032)
Market Overview
On-Premise
Cloud
Global Big Data Analytics in Retail Market Size by Organization Size & CAGR (2025-2032)
Market Overview
Large Enterprises
SMEs
Global Big Data Analytics in Retail Market Size by Applications & CAGR (2025-2032)
Market Overview
Sales and Marketing Analytics
Supply Chain Operations Management
Merchandising Analytics
Customer Analytics
Others
Global Big Data Analytics in Retail Market Size & CAGR (2025-2032)
North America (Component, Deployment, Organization Size, Applications)
US
Canada
Europe (Component, Deployment, Organization Size, Applications)
Germany
Spain
France
UK
Italy
Rest of Europe
Asia Pacific (Component, Deployment, Organization Size, Applications)
China
India
Japan
South Korea
Rest of Asia-Pacific
Latin America (Component, Deployment, Organization Size, Applications)
Brazil
Rest of Latin America
Middle East & Africa (Component, Deployment, Organization Size, Applications)
