市場調查報告書
商品編碼
1017183

全球零售分析市場:2021∼2028年

Global Retail Analytics Market - 2021-2028

出版日期: | 出版商: DataM Intelligence | 英文 180 Pages | 商品交期: 約2個工作天內

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  • 全貌
  • 簡介
  • 目錄
簡介

全球零售分析的市場規模在預測期間(2021年∼2028年)預計將達到大幅成長。

零售業出現了前所未有的轉變,改變了客戶的期望,技術發展日新月異地圍繞零售格局快速發展。最近,客戶需要高度連接、引人入勝和個性化的豐富購物體驗。社交商務和移動等銷售和營銷渠道正在改變零售業的增長趨勢。

本報告提供全球零售分析市場相關調查,提供市場概要,以及各零件,部署,各零售店類型,各用途,各地區的趨勢,及加入此市場的主要企業簡介等資訊。

目錄

第1章 全球零售分析市場調查手法和範圍

  • 調查手法
  • 調查的目的和調查範圍

第2章 全球零售分析市場-市場定義和概要

第3章 全球零售分析市場-摘要整理

  • 各零件的市場明細
  • 各部署的市場明細
  • 各零售店類型的市場明細
  • 各用途的市場明細
  • 各地區的市場明細

第4章 全球零售分析市場-市場動態

  • 影響市場的要素
    • 促進因素
    • 阻礙因素
    • 市場機會
    • 影響分析

第5章 全球零售分析市場-產業分析

  • 波特的五力分析
  • 供應鏈分析
  • 價格分析
  • 法規分析

第6章 全球零售分析市場-COVID-19分析

  • 市場上的COVID-19分析
    • COVID-19前的市場方案
    • COVID-19目前市場方案
    • COVID-19後或未來方案
  • COVID-19的價格動態
  • 需求與供給的頻譜
  • 政府在COVID-19疫情下的市場相關措施
  • 製造商策略性舉措
  • 結論

第7章 全球零售分析市場-各零件

    • 各零件的市場規模分析及與前一年同期比較成長分析(%)
    • 各零件的市場魅力指數
  • 解決方案
    • 市場規模分析與與前一年同期比較成長分析(%)
  • 服務
    • 專業服務
    • 管理服務

第8章 全球零售分析市場-各部署

    • 市場規模分析及與前一年同期比較成長分析(%)、各部署
    • 各部署的市場魅力指數
  • 雲端
    • 市場規模分析與與前一年同期比較成長分析(%)
  • 內部部署

第9章 全球零售分析市場-各零售店類型

    • 各零售店類型的市場規模分析及與前一年同期比較成長分析(%)
    • 各零售店類型的市場魅力指數
  • 大賣場
    • 市場規模分析與與前一年同期比較成長分析(%)
  • 零售連鎖
  • 超級市場
  • 其他

第10章 全球零售分析市場-各用途

    • 市場規模分析及與前一年同期比較成長分析(%)、各用途
    • 各用途的市場魅力指數
  • 價格分析
    • 市場規模分析與與前一年同期比較成長分析(%)
  • 商品營銷分析
  • 推銷分析計劃
  • 庫存分析
  • 客戶分析
  • 產量比率分析
  • 其他

第11章 全球零售分析市場-各地區

    • 市場規模分析及與前一年同期比較成長分析(%)、各地區
    • 各地區的市場魅力指數
  • 北美
    • 主要地區具體動態
    • 市場規模分析及與前一年同期比較成長分析(%)、各零件
    • 市場規模分析及與前一年同期比較成長分析(%)、各部署
    • 市場規模分析及與前一年同期比較成長分析(%)、各零售店類型
    • 市場規模分析及與前一年同期比較成長分析(%)、各用途
    • 市場規模分析及與前一年同期比較成長分析(%)、各國
  • 歐洲
    • 主要地區具體動態
    • 市場規模分析及與前一年同期比較成長分析(%)、各零件
    • 市場規模分析及與前一年同期比較成長分析(%)、各部署
    • 市場規模分析及與前一年同期比較成長分析(%)、各零售店類型
    • 市場規模分析及與前一年同期比較成長分析(%)、各用途
    • 市場規模分析及與前一年同期比較成長分析(%)、各國
  • 南美
    • 主要地區具體動態
    • 市場規模分析及與前一年同期比較成長分析(%)、各零件
    • 市場規模分析及與前一年同期比較成長分析(%)、各部署
    • 市場規模分析及與前一年同期比較成長分析(%)、各零售店類型
    • 市場規模分析及與前一年同期比較成長分析(%)、各用途
    • 市場規模分析及與前一年同期比較成長分析(%)、各國
  • 亞太地區
    • 主要地區具體動態
    • 市場規模分析及與前一年同期比較成長分析(%)、各零件
    • 市場規模分析及與前一年同期比較成長分析(%)、各部署
    • 市場規模分析及與前一年同期比較成長分析(%)、各零售店類型
    • 市場規模分析及與前一年同期比較成長分析(%)、各用途
    • 市場規模分析及與前一年同期比較成長分析(%)、各國
  • 中東和非洲
    • 主要地區具體動態
    • 市場規模分析及與前一年同期比較成長分析(%)、各零件
    • 市場規模分析及與前一年同期比較成長分析(%)、各部署
    • 市場規模分析及與前一年同期比較成長分析(%)、各零售店類型
    • 市場規模分析及與前一年同期比較成長分析(%)、各用途

第12章 全球零售分析市場-競爭情形

  • 競爭模式
  • 市場定位/股票分析
  • 合併和收購分析

第13章 全球零售分析市場-企業簡介

  • Oracle
    • 企業概要
    • 類型組合和概要
    • 主要的焦點
    • 財務概要
  • Microsoft
  • Salesforce
  • IBM
  • Bridgei2i
  • Information Builders
  • SAS Institute
  • Adobe Systems
  • Teradata Corporation
  • MicroStrategy Incorporated

清單並未網羅全面

第14章 全球零售分析-重要考察

第15章 全球零售分析-DataM

  • 附錄
  • 關於本公司·服務
  • 諮詢方式
目錄
Product Code: DMIC3485

Market Overview

The global retail analytics market size was worth US$ XX billion in 2020 and is projected to show significant growth by reaching up to US$ XX billion by 2028, growing at a CAGR of XX% within the forecast period (2021-2028).

Retail analytics provides analytical data critical for marketing and procurement decisions on inventory levels, supply chain movement, customer demand, pricing, etc. The demand and supply data analytics can be used to sustain the standard of procurement and make marketing decisions. Retail analytics offered customer analytical insights coupled with insights into the organization's business and process with the scope and required need for improvement.

The retail industry has shown an unprecedented shift that has changed customer expectations, and technological developments are rapidly revolving around the retail landscape day by day. In recent times customers are demanding rich shopping experiences that are hyper-connected, engaging, and personalized. The growing expansion of sales and marketing channels such as social commerce and mobile are transforming the retail industry's growing trend.

Few examples of how retail businesses that have successfully leveraged retail analytics to improve decision-making and increase market share are leveraging data to optimize the customer experience, streamlining the relationship between data and customer, gaining a 360-degree view of customer need, and delivering self-service, real-time access to data are few examples

Market Dynamics

The global retail analytics market is driven by increasing technological advancements such as machine learning, artificial intelligence, and augmented reality. Increasing internet penetration and the adoption of big data analytics and cloud-based services in retail processes to increase retailing's productivity and efficiency is creating demand for retail analytical tools in recent times. Vendors of retail analytics deliver cost-effective, scalable, and versatile solutions that are expected to further fuel the global retail analytics industry's growth.

Increasing technological advancements such as machine learning, artificial intelligence, and augmented reality

The growing advancements in technologies such as the arrival of machine learning, artificial intelligence, and augmented reality in retail analytics can attain a variety of business goals that include customer value, supplier management, and optimized revenue generation. Artificial intelligence and machine learning offer retailer intelligence insights that can improve sales coupled with customer experience. The integration of advanced technology with retail analytics helps gain insights from big data on retail to optimize customer operation and business operation. The technology also offers tracking of customer data from customer contact with online channels improves e-commerce strategies. On the other hand, machine learning and big analytics help to analyze the data and draw insights about the quality, price, and sales to reach the target customers.

For instance, in October 2018, Oracle corporation improved its Oracle retail insights cloud service suite by introducing three new services into the cloud. The improvement is made to provide a wide spectrum of analytics that would support the retail industry's key performance indicators. The advanced cloud service suite offers several advantages: a better understanding of the customer context, leveraging artificial intelligence, revealing merchandising intelligence, and machine learning.

Increasing internet penetration and the adoption of big data analytics and cloud-based services in retail processes to increase retailing's productivity and efficiency is creating demand for retail analytical tools in recent times.

The growing use of the internet in retail processes has increased the retailing's productivity and efficiency and generates demand for retail analytics resources. It allows retailers to gain insights into important data, consumer purchasing habits, improve customer experience, and provide real insight to enhance all in-store operations that create a huge demand for retail analytics tools. Increasing online shopping, utilization of social media, consecutive growth in big data and proliferation of smartphones owing to online shopping have uplifted the market of retail analytics in recent times. Additionally, due to the ease of shopping and mobile penetration in the market, which is expected to improve the market, the usage of e-commerce platforms is increasingly growing. Over the forecast era, the growing need for data analysis and incorporation of analytics is expected to propel the Internet of Things industry.

Stringent data regulation imposed by different governments across the globe is expected to hamper the retail analytics market's growth.

The government's general data protection regulation is expected to affect the retails solutions that use big data technology. Without breaking the data privacy, no retailer would be able to take efficient advantages even after introducing big data service in their business module. Hence, it made it difficult for the retailers to attain desirable goals despite the security protocols set by the data privacy regulations. These regulations are directly impacting the growth of many multinational companies and international retailers in recent times. Besides, lack of knowledge in some regions, high analytics expense, and inability to understand consumers' offline market behavior are hampering the global retail analytics market's growth. Furthermore, complex systems integration is a problem that is expected to hamper the development of the global market for retail analytics.

COVID-19 Impact Analysis

All aspects of the technology industry have been affected by COVID-19. Due to disturbances in the hardware supply chain and decreased manufacturing activities, IT infrastructure's construction has slowed down. The health crisis has had an unprecedented effect across sectors on businesses; although some are suffering, others prosper. Also, due to the lockdowns implemented worldwide, retail analytics companies are experiencing a slowdown in growth. As most upcoming analytics ventures have been placed on hold due to the pandemic, the competition between key retail analytics companies is expected to intensify. Businesses have also begun to make attempts to return to normal and face numerous consumer and organizational challenges. New practices, such as work-from-home and social distancing, have contributed to the need for remote patient and asset health tracking and smart payment technologies and to build digital infrastructures for large-scale implementations of technology. The implementation of lockdowns has led to an increased reliance on cloud-based solutions.

Segment Analysis

The global retail analytics market is segmented on component, deployment, application, retail store type and region.

Cloud-based retail analytics tools give retailers with on-demand computing capacity to manage vast amounts of data and provide valuable insights, thus expected to dominate the future retail analytics market.

In terms of deployment, the global retail analytics market is bifurcated into two types on-premise and cloud. Out of the two, the cloud segment is expected to show significant growth during the forecast period as cloud applications for retail analytics help organizations become flexible and able to maximize collaboration and connectivity with business partners and consumers. In a short timeframe, cloud-based retail analytics tools give retailers with on-demand computing capacity to manage vast amounts of data and provide valuable insights. In addition, current innovation in the retail landscape often combines the cloud and hybrid-cloud solutions with advanced data analytics to make the business more competitive for the key players. The cloud also establishes highly scalable and pay-for-use subscription models that are gaining popularity across various small retail chains.

On the other side, the traditional on-premise analytical model expects to show moderate adoption in the forecast period due to security assurance.

For instance, in May 2020, the European multi-brand fashion retailer Sportia Group adopted oracle cloud-based retail solutions to break the obstacle between brand and geographies, consecutively optimizing the customers' inventory availability. The above solution is estimated to provide full visibility about the inventory availability across channels, which would lower the transfer cost and increase stock rotation.

Geographical Analysis

The high implementation rate of retail analytics solutions on account of sophisticated systems and the increasing availability of high working capital at the disposal of several retailers in the North America region

North-America is expected to dominate the retail analytics market in the forecast period due to the high implementation rate of retail analytics solutions on account of sophisticated systems and the increasing availability of high working capital at the disposal of several retailers in the region. Most of the larger hypermarkets, supermarkets, and retail chains are showcasing their presence across different North-America countries. The large retail market giants such as Kroger, Walmart have majorly adopted retail analytical solutions to compete with other retail chains.

On the other side, APAC is expected to record the highest CAGR in the conjecture time span, as it is home to many developing and emerging economies, which offer significant opportunities for retail store growth and technology advancement. China, India and Japan focus on data management to facilitate data-based business decisions and improve retail brand business processes.

Competitive Landscape

The retail analytics market is highly competitive with the presence of local as well as global companies. Some of the key players contributing to the market's growth include Microsoft, Oracle, Salesforce, IBM, Bridgei2i, Information Builders, SAS Institute, Adobe Systems, Teradata Corporation, MicroStrategy Incorporated and others.

The key players are adopting several growth strategies such as product launches, acquisitions, and collaborations, contributing to the retail analytics market's growth globally. However, company expansion and collaboration are the prime growth strategies followed by the market's major players.

  • For instance, in May 2019, Adobe Inc. extended its relationship with Prada Group, a leading fashion company, by introducing innovative experience management tools at its stores on a global scale. This latest deployment has helped the company support Prada's marketing efforts and customer communication through its global retail network. The retail industry is undergoing digital transformation through the adoption of different analytical tools.

Oracle Corporation

Overview: The company is among the leading players in delivering advanced retail solutions the retailers. The company is a multinational American computer technology corporation headquarter based in Texas. The company focuses on developing a retail solution platform by introducing predictive analytical, cloud, artificial intelligence, and others. Oracle is strengthening its retail solution platform by combing multiple retail solutions and services on Oracle Retail Solution Suite.

Product Portfolio: The company has a product portfolio of retail analytical includes:

  • Oracle Cloud: Oracle Cloud is a cloud computing service provided by Oracle Corporation via a global network of data centers operated by Oracle Corporation, offering servers, storage, networks, applications and services. The business allows these services to be delivered over the Internet on demand. Oracle Cloud offers Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS) and Data as a Service (DaaS). These services are used to build, deploy, integrate and extend applications in the cloud.

Key Development:

  • For instance, in October 2018, Oracle corporation improved its Oracle retail insights cloud service suite by introducing three new services into the cloud. The improvement is made to provide a wide spectrum of analytics that would support the retail industry's key performance indicators. The advanced cloud service suite offers several advantages: a better understanding of the customer context, leveraging artificial intelligence, revealing merchandising intelligence, and machine learning.

Why Purchase the Report?

  • Visualize the retail analytics market segmentation by component, deployment, application, retail store type and highlight key commercial assets and players.
  • Identify commercial opportunities in the retail analytics market by analyzing trends and co-development deals.
  • Excel data sheet with thousands of data points of retail analytics market-level 4/5 segmentation.
  • PDF report with the most relevant analysis cogently put together after exhaustive qualitative interviews and in-depth market study.
  • Product mapping in excel for the key product of all major market players

The global retail analytics market report would provide access to an approx.: 69 market data table, 65 figures and 252 pages.

Target Audience 2022

  • Service Providers/ Buyers
  • Industry Investors/Investment Bankers
  • Education & Research Institutes
  • Research Professionals
  • Emerging Companies
  • Manufacturers

Table of Contents

1. Global Retail analytics market Methodology and Scope

  • 1.1. Research Methodology
  • 1.2. Research Objective and Scope of the Report

2. Global Retail analytics market - Market Definition and Overview

3. Global Retail analytics market - Executive Summary

  • 3.1. Market Snippet by Component
  • 3.2. Market Snippet by Deployment
  • 3.3. Market Snippet by Retail Store Type
  • 3.4. Market Snippet by Application
  • 3.5. Market Snippet by Region

4. Global Retail analytics market-Market Dynamics

  • 4.1. Market Impacting Factors
    • 4.1.1. Drivers
      • 4.1.1.1. Increasing technological advancements such as machine learning, artificial intelligence, and augmented reality.
      • 4.1.1.2. Increasing internet penetration and the adoption of big data analytics and cloud-based services in retail processes to increase retailing's productivity and efficiency is creating demand for retail analytical tools in recent times.
    • 4.1.2. Restraints:
      • 4.1.2.1. Stringent data regulation imposed by different governments across the globe is expected to hamper the retail analytics market growth.
    • 4.1.3. Opportunity
      • 4.1.3.1. XX
    • 4.1.4. Impact Analysis

5. Global Retail analytics market - Industry Analysis

  • 5.1. Porter's Five Forces Analysis
  • 5.2. Supply Chain Analysis
  • 5.3. Pricing Analysis
  • 5.4. Regulatory Analysis

6. Global Retail analytics market - COVID-19 Analysis

  • 6.1. Analysis of COVID-19 on the Market
    • 6.1.1. Before COVID-19 Market Scenario
    • 6.1.2. Present COVID-19 Market Scenario
    • 6.1.3. After COVID-19 or Future Scenario
  • 6.2. Pricing Dynamics Amid COVID-19
  • 6.3. Demand-Supply Spectrum
  • 6.4. Government Initiatives Related to the Market During Pandemic
  • 6.5. Manufacturers Strategic Initiatives
  • 6.6. Conclusion

7. Global Retail analytics market - By Component

  • 7.1. Introduction
    • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 7.1.2. Market Attractiveness Index, By Component
  • 7.2. Solution*
    • 7.2.1. Introduction
    • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 7.3. Services
    • 7.3.1. Professional Services
    • 7.3.2. Managed Services

8. Global Retail analytics market - By Deployment

  • 8.1. Introduction
    • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 8.1.2. Market Attractiveness Index, By Deployment
  • 8.2. Cloud*
    • 8.2.1. Introduction
    • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 8.3. On-Premise

9. Global Retail analytics market - By Retail Store Type

  • 9.1. Introduction
    • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Retail Store Type
    • 9.1.2. Market Attractiveness Index, By Retail Store Type
  • 9.2. Hypermarket *
    • 9.2.1. Introduction
    • 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 9.3. Retail Chains
  • 9.4. Supermarkets
  • 9.5. Others

10. Global Retail analytics market - By Application

  • 10.1. Introduction
    • 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 10.1.2. Market Attractiveness Index, By Application
  • 10.2. Pricing Analysis *
    • 10.2.1. Introduction
    • 10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 10.3. Merchandising Analysis
  • 10.4. Promotional Anaylsis Planning
  • 10.5. Inventory Analysis
  • 10.6. Customer Analysis
  • 10.7. Yield Analysis
  • 10.8. Others

11. Global Retail analytics market - By Region

  • 11.1. Introduction
    • 11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
    • 11.1.2. Market Attractiveness Index, By Region
  • 11.2. North America
    • 11.2.1. Introduction
    • 11.2.2. Key Region-Specific Dynamics
    • 11.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 11.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 11.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Retail Store Type
    • 11.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 11.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.2.7.1. U.S.
      • 11.2.7.2. Canada
      • 11.2.7.3. Mexico
  • 11.3. Europe
    • 11.3.1. Introduction
    • 11.3.2. Key Region-Specific Dynamics
    • 11.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 11.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 11.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Retail Store Type
    • 11.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 11.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.3.7.1. Germany
      • 11.3.7.2. U.K.
      • 11.3.7.3. France
      • 11.3.7.4. Italy
      • 11.3.7.5. Russia
      • 11.3.7.6. Rest of Europe
  • 11.4. South America
    • 11.4.1. Introduction
    • 11.4.2. Key Region-Specific Dynamics
    • 11.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 11.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 11.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Retail Store Type
    • 11.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 11.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.4.7.1. Brazil
      • 11.4.7.2. Argentina
      • 11.4.7.3. Rest of South America
  • 11.5. Asia-Pacific
    • 11.5.1. Introduction
    • 11.5.2. Key Region-Specific Dynamics
    • 11.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 11.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 11.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Retail Store Type
    • 11.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
    • 11.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 11.5.7.1. China
      • 11.5.7.2. India
      • 11.5.7.3. Japan
      • 11.5.7.4. Australia
      • 11.5.7.5. Rest of Asia Pacific
  • 11.6. Middle East and Africa
    • 11.6.1. Introduction
    • 11.6.2. Key Region-Specific Dynamics
    • 11.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 11.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
    • 11.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Retail Store Type
    • 11.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application

12. Global Retail analytics market - Competitive Landscape

  • 12.1. Competitive Scenario
  • 12.2. Market Positioning/Share Analysis
  • 12.3. Mergers and Acquisitions Analysis

13. Global Retail analytics market- Company Profiles

  • 13.1. Oracle*
    • 13.1.1. Company Overview
    • 13.1.2. Type Portfolio and Description
    • 13.1.3. Key Highlights
    • 13.1.4. Financial Overview
  • 13.2. Microsoft
  • 13.3. Salesforce
  • 13.4. IBM
  • 13.5. Bridgei2i
  • 13.6. Information Builders
  • 13.7. SAS Institute
  • 13.8. Adobe Systems
  • 13.9. Teradata Corporation
  • 13.10. MicroStrategy Incorporated

LIST NOT EXHAUSTIVE

14. Global Retail Analytical - Premium Insights

15. Global Retail Analytical - DataM

  • 15.1. Appendix
  • 15.2. About Us and Services
  • 15.3. Contact Us