 | • レポートコード：B-MOR-040718 • 出版社/出版日：Mordor Intelligence / 2018年2月 • レポート形態：英文、PDF、109ページ • 納品方法：Eメール（受注後2営業日） • 産業分類：IT・通信 |
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レポート概要
| 本資料は、小売業におけるアナリティクスの世界市場について調べ、小売業におけるアナリティクスの世界規模、市場動向、市場環境、導入モード別（オンプレミス、オンデマンド）分析、タイプ別（ソリューション、サービス）分析、モジュールタイプ別分析、ビジネスタイプ別分析、アメリカ市場規模、ヨーロッパ市場規模、アジア市場規模、日本市場規模、中国市場規模、産業バリューチェーン分析、関連企業情報などをまとめた調査レポートです。 ・イントロダクション ・エグゼクティブサマリー ・小売業におけるアナリティクスの世界市場インサイト ・小売業におけるアナリティクスの世界市場環境 ・小売業におけるアナリティクスの世界市場動向 ・小売業におけるアナリティクスの世界市場規模 ・小売業におけるアナリティクスの世界市場規模：導入モード別（オンプレミス、オンデマンド） ・小売業におけるアナリティクスの世界市場規模：タイプ別（ソリューション、サービス） ・小売業におけるアナリティクスの世界市場規模：モジュールタイプ別 ・小売業におけるアナリティクスの世界市場規模：ビジネスタイプ別 ・小売業におけるアナリティクスの世界市場：地域別市場規模・分析 ・小売業におけるアナリティクスの北米市場規模・予測 ・小売業におけるアナリティクスのアメリカ市場規模・予測 ・小売業におけるアナリティクスのヨーロッパ市場規模・予測 ・小売業におけるアナリティクスのアジア市場規模・予測 ・小売業におけるアナリティクスの日本市場規模・予測 ・小売業におけるアナリティクスの中国市場規模・予測 ・小売業におけるアナリティクスのインド市場規模・予測 ・小売業におけるアナリティクスの韓国市場規模・予測 ・関連企業情報・競争状況 |
The global retail analytics market was valued at USD 3.78 billion in 2017, and is projected to reach USD 10.34 billion by 2023, registering a CAGR of 18.26% over the forecast period of 2018-2023.
Retailers have to analyze terabytes of data to accurately understand consumer needs. Retail analytics helps predict a range of consumer preferences, from simple demands to unique tastes. Organizations in the retail sector are using business intelligence (BI) and retail analytics tools, in areas of customer intelligence, merchandising intelligence, and operational intelligence. Factors, such as the need to develop competitive strategies and reduce expenses and operational costs are driving the market. This has accelerated the interest of organizations in the retail sector, in assessing the performance of business operations, such as the supply chain, human resources, and financial performance, from the perspectives of enterprises as well as consumers.
Increased Emphasis on Predictive Analytics
The requirement of accurate forecasts and optimized business processes has increased after the 2008-2013 global economic recession. Most vendors have introduced applications to integrate statistics, predictive analytics models, and forecasting algorithms, into reports, dashboards, and analytics applications. Predictive analytical tools in the retail sector offer customer interaction, in addition to more capabilities for managing back-end activities, such as order management, warehouse logistics, CRM, data analytics, mobile support, and tracking. The growth of the Big Data and Internet of Things is further boosting the use of predictive analysis in the retail analytics market.
Store Operation Segment Accounts for a Significant Market Share
Retail analytics solutions allow organizations to monitor store performance, analyze multiple store functions, improve category management, and increase the efficiency of sales management and marketing promotions, operations, and budgeting. Organizations in the retail sector focus on store operations, in order to access detailed reports in a timely manner and make actionable decisions based on labor planning, store performance management, store profitability, general ledger, category management, inventory, and sales and margins.
Asia-Pacific Occupied a Significant Market Share
Asia-Pacific is expected to lead in terms of growth rate. An increase in the number of organizations in the retail sector has directly impacted the demand for analytics tools. In countries such as India and China, the retail sector is growing and companies are trying to achieve a competitive advantage with the help of innovative technologies. The constant need for organizations in the retail sector to obtain insights about current trends and new market opportunities, together with a complete view on suppliers, distributors, and customers, is driving the demand for retail analytics. IoT is predicted to undergo massive growth in Asia-Pacific in the coming years, and analytical tools play a vital role in enabling the growth of the retail analytics market.
Key Developments in the Market
• Nov 2017 – IBM and Salesforce announced the expansion of their partnership, to deliver new Artificial Intelligence predictive analytics.
Major Players: SAP SE, Oracle Corporation, Qlik Technologies Inc., Zoho Corporation, IBM Corporation, Retail Next Inc., Alteryx Inc., Tableau Software Inc., Adobe Systems Incorporated, MicroStrategy Inc., Prevedere Software Inc., TARGIT A/S, Pentaho Corporation, ZAP Business Intelligence, and Fuzzy Logix, amongst others
Reasons to Purchase this Report
• Impact of the emergence of SaaS-based tools on analytics providers and the growing demand for mobile-based BI and analytics tools.
• Analyze various perspectives of the market, with the help of Porter’s five forces analysis.
• Growth of various module types, such as strategy & planning, supply chain management, and financial management.
• Regional analysis of the market.
• Identify the latest developments, market shares, and strategies employed by the major market players.
• 3 months analyst support, along with the Market Estimate sheet (in excel)
Customization of the Report
• This report can be customized to meet your requirements. Please connect with our representative, who will ensure that you get a report that suits your needs.
レポート目次1. Introduction
1.1 Key Deliverables of the Study
1.2 Study Assumptions
1.3 Market Definition
1.4 Key Findings of the Study
2. Research Approach and Methodology
3. Executive Summary
4. Market Dynamics
4.1 Market Overview
4.2 Factors Driving the Market
4.2.1 Increased Emphasis on Predictive Analysis
4.2.2 Sustained Increase in the Volume of Data
4.2.3 Growing Demand for Sales Forecasting
4.3 Factors Restraining the Market
4.3.1 Lack of General Awareness and Expertise in Emerging Regions
4.3.2 Standardization and Integration Issues
4.4 Industry Value Chain Analysis
4.5 Industry Attractiveness – Porter’s Five Forces Analysis
4.5.1 Bargaining Power of Suppliers
4.5.2 Bargaining Power of Consumers
4.5.3 Threat of New Entrants
4.5.4 Threat of Substitute Products or Services
4.5.5 Competitive Rivalry among Existing Competitors
5. Global Retail Analytics Market Segmentation
5.1 By Mode of Deployment
5.1.1 On-premise
5.1.2 On-demand
5.2 By Type
5.2.1 Solutions (Analytics, Visualization Tools, Data Management, etc.)
5.2.2 Services (Integration, Support & Consulting)
5.3 By Module Type
5.3.1 Strategy & Planning (Macro Trends, KPI, Value Analysis)
5.3.2 Marketing (Pricing, Loyalty, and Segment Analysis)
5.3.3 Financial Management (Accounts Management)
5.3.4 Store Operations (Fraud Detection, Workforce Analytics)
5.3.5 Merchandising (Assortment Optimization, Shopper Path Analytics)
5.3.6 Supply Chain Management (Inventory, Vendor, and Supply-Demand Modelling)
5.3.7 Other Module Types
5.4 By Business Type
5.4.1 Small & Medium Enterprises
5.4.2 Large-scale Organizations
5.5 By Geography
5.5.1 North America
5.5.1.1 United States
5.5.1.2 Canada
5.5.2 Europe
5.5.2.1 United Kingdom
5.5.2.2 France
5.5.2.3 Germany
5.5.2.4 Spain
5.5.2.5 Rest of Europe
5.5.3 Asia-Pacific
5.5.3.1 China
5.5.3.2 India
5.5.3.3 Japan
5.5.3.4 South Korea
5.5.3.5 Rest of Asia-Pacific
5.5.4 Latin America
5.5.4.1 Brazil
5.5.4.2 Mexico
5.5.4.3 Argentina
5.5.4.4 Rest of Latin America
5.5.5 Middle East & Africa
5.5.5.1 Saudi Arabia
5.5.5.2 UAE
5.5.5.3 South Africa
5.5.5.4 Turkey
5.5.5.5 Rest of Middle East & Africa
6. Competitive Intelligence – Company Profiles
6.1 SAP SE
6.2 Oracle Corporation
6.3 Qlik Technologies Inc.
6.4 Zoho Corporation
6.5 IBM Corporation
6.6 Retail Next Inc.
6.7 Alteryx Inc.
6.8 Tableau Software Inc.
6.9 Adobe Systems Incorporated
6.10 MicroStrategy Inc.
6.11 Prevedere Software Inc.
6.12 TARGIT A/S
6.13 Pentaho Corporation
6.14 ZAP Business Intelligence
6.15 Fuzzy Logix
7. Investment Analysis
8. Outlook of the Retail Analytics Market