 | • レポートコード：MRC2103D189 • 出版社/出版日：Mordor Intelligence / 2021年1月 • レポート形態：英文、PDF、120ページ • 納品方法：Eメール（受注後2-3営業日） • 産業分類：通信 |
| Single User | ￥629,000 (USD4,250) | ▷ お問い合わせ |
| Team User | ￥703,000 (USD4,750) | ▷ お問い合わせ |
| Corporate License | ￥1,110,000 (USD7,500) | ▷ お問い合わせ |
• お支払方法：銀行振込（納品後、ご請求書送付）
レポート概要
| 本調査レポートでは、世界の小売業におけるビッグデータ分析市場について調査し、イントロダクション、調査手法、エグゼクティブサマリー、市場動向、用途別（マーチャンダイジング・サプライチェーン分析、ソーシャルメディア分析、顧客分析、オペレーショナルインテリジェンス、その他）分析、ビジネスタイプ別（中小企業、大企業）分析、地域別分析、競争状況、投資分析、市場機会・将来動向など、以下の構成でお届けいたします。 ・イントロダクション ・調査手法 ・エグゼクティブサマリー ・市場動向 ・世界の小売業におけるビッグデータ分析市場規模：用途別（マーチャンダイジング・サプライチェーン分析、ソーシャルメディア分析、顧客分析、オペレーショナルインテリジェンス、その他） ・世界の小売業におけるビッグデータ分析市場規模：ビジネスタイプ別（中小企業、大企業） ・世界の小売業におけるビッグデータ分析市場規模：地域別 ・競争状況 ・投資分析 ・市場機会・将来動向 |
The big data analytics in retail market was estimated at USD 4.18 billion in 2020. This market is expected to reach USD 13.26 billion by the end of 2026, registering a CAGR of 21.20% during the forecast period (2021-2026). The retail industry is witnessing a major transformation through the use of advanced analytics and Big Data technologies. With the growth of e-commerce, online shopping, and high competition for customer loyalty, retailers are utilizing Big Data analytics to stay competitive in the market.
– Costco, an American retail company contacted all of its customers who shopped for stone fruits to warn them of possible listeria contamination. This was only possible as the company uses Big Data to track what the customers buy.
– Recently, fashion retailer H&M started using Big Data to tailor its merchandising mix in its brick-and-mortar stores. The fashion retailer is using algorithms to gain insights from returns, receipts, and data from loyalty cards to enhance its bottom line.
– Also, Walmart, one of the largest retailers in the world, is undergoing a digital transformation. It is in the process of building the world’s largest private cloud system, which is expected to have the capacity to manage 2.5 petabytes of data every hour.
– Therefore, as Big Data is helping retailers to cater to the customers in a more personalized way via targeted advertising, product recommendations, and pricing, the technology is being increasingly preferred by the retailers.
Key Market Trends
Merchandising and Supply Chain Analytics Segment Expected to Hold Significant Share
– E-commerce has had an impact on the traditional brick and mortar retailers, reducing their significance marking the data-driven revolution in the retail sector.
– An efficient supply chain, the optimized movement of goods from supplier to warehouse to store to the customer, is very critical to every business. Therefore, big data analytics is at the core of revolutionizing retail supply chain, i.e tracking and tracing product flow and stock levels in real-time, leveraging customer data to predict buying patterns, even using robots to tirelessly fulfill orders in vast automated warehouses.
– In the United Kingdom, the supply chain Big Data analytics for retail is expected to grow significantly over the forecast period, following the manufacturing and energy sector.
– Owing to this, it is further expected that predictive analytics and machine learning AI will revolutionize the retail supply chain.
North America Region Expected to Hold the Largest Share
– The retail sector in the region is huge and is witnessing an increase in sales. In the United States, according to the National Retail Federation (NRF), retail sales are expected to rise between 3.8% and 4.4% to more than USD 3.8 trillion in 2019, citing high consumer confidence, low unemployment, and rising wages.
– Besides, North America is among the leading innovators and pioneers, in terms of adoption, for Big Data analytics. The region boasts of a strong foothold of Big Data analytics vendors, which further contributes to the growth of the market. Some of them include IBM Corporation, SAS Institute Inc., Alteryx Inc., and Microstrategy Incorporated among others.
– With this increase in the creation and consumption of data in retail (with increased sales) that continues to grow rapidly calls for more significant investments in big data analytics hardware, software, and services.
Competitive Landscape
The big data analytics in the retail market is fragmented. The growth of e-commerce, online shopping, and high competition for customer loyalty, provides lucrative opportunities in big data analytics in the retail market. Overall, the competitive rivalry among existing competitors is high. Moving forward, different kind of innovation strategies of large companies boosting the market growth effectively. Some of the key developments in the area are:
– May 2019 – Oracle partnered with Gap Inc. to deploy Oracle Retail Merchandising Cloud Service and Oracle Retail Integration Cloud Service, powered by Oracle Cloud Infrastructure, to drive operational agility and furnish the Banana Republic business teams with better intelligence to meet the evolving needs of its global customers and providing them with an excellent platform for shopping.
– May 2019 – SAP SE announced that NPC International (NPC), the world’s largest Pizza Hut and Wendy’s franchisee, has implemented SAP SuccessFactors solutions for human capital management (HCM) and SAP S/4HANA Cloud for enterprise resource planning (ERP). With the solutions rolled out to 40,000 US employees, NPC has successfully streamlined operations and created a digital path for the future.
Reasons to Purchase this report:
– The market estimate (ME) sheet in Excel format
– 3 months of analyst support
1 INTRODUCTION
1.1 Study Deliverables
1.2 Study Assumptions
1.3 Scope of the Study
2 RESEARCH METHODOLOGY
2.1 Analysis Methodology
2.2 Research Phases
3 EXECUTIVE SUMMARY
4 MARKET DYNAMICS
4.1 Market Overview
4.2 Introduction to Market Drivers and Restraints
4.3 Market Drivers
4.3.1 Increased Emphasis on Predictive Analytics
4.3.2 Increased Innovations in Retail Digitalization Techniques
4.4 Market Restraints
4.4.1 Complexities in Collecting and Collating the Data From Disparate Systems
4.5 Industry Attractiveness – Porter’s Five Force Analysis
4.5.1 Threat of New Entrants
4.5.2 Bargaining Power of Buyers/Consumers
4.5.3 Bargaining Power of Suppliers
4.5.4 Threat of Substitute Products
4.5.5 Intensity of Competitive Rivalry
5 MARKET SEGMENTATION
5.1 By Application
5.1.1 Merchandising and Supply Chain Analytics
5.1.2 Social Media Analytics
5.1.3 Customer Analytics
5.1.4 Operational Intelligence
5.1.5 Other Applications
5.2 By Business Type
5.2.1 Small and Medium Enterprises
5.2.2 Large-scale Organizations
5.3 Geography
5.3.1 North America
5.3.2 Europe
5.3.3 Asia-Pacific
5.3.4 Rest of the World
6 COMPETITIVE LANDSCAPE
6.1 Company Profiles
6.1.1 SAP SE
6.1.2 Oracle Corporation
6.1.3 Qlik Technologies Inc.
6.1.4 Zoho Corporation
6.1.5 IBM Corporation
6.1.6 Retail Next Inc.
6.1.7 Alteryx Inc.
6.1.8 Salesforce.com Inc. (Tableau Software Inc.)
6.1.9 Adobe Systems Incorporated
6.1.10 Microstrategy Inc.
6.1.11 Hitachi Vantara Corporation
6.1.12 Fuzzy Logix LLC
7 INVESTMENT ANALYSIS
8 MARKET OPPORTUNITIES AND FUTURE TRENDS