零售分析市场 - 2023-2028 年预测
市场调查报告书
商品编码
1279569

零售分析市场 - 2023-2028 年预测

Retail Analytics Market - Forecasts from 2023 to 2028

出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 148 Pages | 商品交期: 最快1-2个工作天内

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简介目录

零售分析市场预计将从 2021 年的 83.64 亿美元增至 2028 年的 328.08 亿美元,复合年增长率为 21.56%。 零售分析是指用于分析零售行业数据的技术和工具。 它涉及收集、组织和分析来自各种来源的数据,例如销售交易、库存水平、客户行为和社交媒体互动。 此分析的见解可帮助零售商做出明智的决策并优化运营以获得更好的结果。 实时运营可见性是零售分析的一个关键优势,它使零售商能够快速识别可能影响其业务的趋势、模式和异常情况。 借助这些资讯,零售商可以做出决策来提高客户满意度、降低成本并增加利润。

此外,零售分析还可用于改善客户体验。 零售商可以分析客户数据以了解客户的偏好、行为和购买习惯。 这些信息使我们能够个性化我们的营销活动、改进我们的产品并增强您的购物体验。 通过提供个性化且令人满意的体验,零售商可以与客户建立更牢固的关係,从而提高销售额和忠诚度。

零售分析市场是由全渠道分析需求的增长和零售额的增长推动的。

对全渠道分析的需求不断增长 - 全渠道零售的兴起正在推动对零售分析的需求激增,零售分析可以深入了解各种渠道的客户行为。 这包括线上和线下销售、社交媒体、移动应用程序等。 因此,随着越来越多地采用全渠道分析以更好地了解客户行为和偏好,市场预计将经历显着增长。

零售额增长

零售额的激增是零售分析市场的主要增长动力。 不断增长的零售额推动了对先进工具和技术的需求,这些工具和技术可帮助零售商优化运营并提高业务绩效。 零售商可以利用零售分析功能来审查销售数据、库存水平、客户行为和其他相关指标,以获得关键业务洞察并做出明智的决策。美国人口普查局 2021 年年度零售贸易调查 (ARTS) 估计强调国内零售额激增 17.1%。 销售额从2020年的55,720亿美元增至2021年的65,226亿美元。 销量的增加给零售商带来了挑战,使其越来越难以获得有价值的见解。 采用零售分析将使零售商能够有效地分析数据、发现趋势和模式,并做出快速、数据驱动的决策。

从部署类型来看,零售分析市场预计云细分将出现增长。

采用云端部署的零售分析市场预计在预测期内将显着增长。 云部署具有可扩展性、灵活性和成本效益等多种优势,推动了云零售分析的采用。 由于对实时洞察的需求不断增长、智能手机和社交媒体的使用不断增加以及零售商越来越多地采用基于云的解决方案,预计该行业将出现显着增长。

北美在全球零售分析市场中占有很大份额。

零售分析市场分为北美、南美、欧洲、中东和非洲以及亚太地区。 由于该地区拥有许多零售商且互联网普及率较高,因此北美是零售分析软件的重要市场。 此外,该地区是尖端技术的早期采用者,这使其成为对零售分析解决方案提供商极具吸引力的市场。 美国拥有巨大的市场份额,是该地区最重要的零售分析市场之一。 此外,零售商越来越注重通过个性化营销和客户服务改善客户体验,推动了该地区的市场增长。 零售商使用零售分析来获得对客户行为和偏好的关键洞察,以帮助定制营销活动并增强客户服务。

内容

第 1 章简介

  • 市场概览
  • 市场定义
  • 调查范围
  • 市场细分
  • 货币
  • 先决条件
  • 基准年和预测年时间表

第 2 章研究方法

  • 调查数据
  • 调查设计
  • 验证

第 3 章执行摘要

  • 调查要点

第 4 章市场动态

  • 市场促进因素
  • 市场抑制因素
  • 波特五力分析
  • 行业价值链分析

第 5 章零售分析市场:按类型

  • 简介
  • 软件
  • 服务

第 6 章零售分析市场:按部署划分

  • 简介
  • 本地

第 7 章零售分析市场:按最终用户划分

  • 简介
  • 推销
  • 供应链
  • 战略和规划
  • 店铺运营
  • 营销

第 8 章零售分析市场:按地区

  • 简介
  • 北美
    • 美国
    • 加拿大
    • 墨西哥
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他
  • 欧洲
    • 德国
    • 法国
    • 英国
    • 西班牙
    • 其他
  • 中东和非洲
    • 沙特阿拉伯
    • 阿拉伯联合酋长国
    • 以色列
    • 其他
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 韩国
    • 印度尼西亚
    • 台湾
    • 其他

第 9 章竞争格局与分析

  • 主要公司及战略分析
  • 新兴公司和市场盈利能力
  • 合併、收购、协议与合作
  • 供应商竞争力矩阵

第 10 章公司简介

  • SAP SE
  • Salesforce
  • Oracle
  • Microsoft Corporation
  • HCL Technologies Limited
  • IBM
  • Qlik
  • Cloud Software Group, Inc.
  • Sisense Inc.
  • Wipro
  • Zoho Corporation
  • ALTERYX
简介目录
Product Code: KSI061615238

The retail analytics market is projected to grow at a CAGR of 21.56% to reach US$32.808 billion in 2028 from US$8.364 billion in 2021. Retail analytics refers to techniques and tools used to analyze data within the retail industry. This involves collecting, organizing, and analyzing data from various sources, such as sales transactions, inventory levels, customer behavior, and social media interactions. The insights gained from this analysis can assist retailers in making informed decisions and optimizing their operations for better outcomes. Real-time visibility into operations is a key benefit of retail analytics, allowing retailers to quickly identify trends, patterns, and anomalies that may impact their business. This information will enable retailers to make informed decisions that enhance customer satisfaction, reduce costs, and increase profits.

In addition, retail analytics can be used to improve the customer experience. Retailers can analyze customer data to understand their preferences, behaviors, and purchasing habits. This information can personalize marketing campaigns, refine product offerings, and enhance the shopping experience. By providing customers with tailored and satisfying experiences, retailers can build stronger relationships with their customers, leading to increased sales and loyalty.

The retail analytics market is driven by growing demand for omnichannel analytics and rising retail sales.

Growing demand for omnichannel analytics- The rise of omnichannel retailing has led to a surge in demand for retail analytics that can provide insights into customer behavior across various channels. This includes online and offline sales, social media, mobile apps, and more. As a result, the market is expected to witness significant growth due to the increasing adoption of omnichannel analytics to better understand customer behavior and preferences.

Rising retail sales

The burgeoning retail sales segment is a significant growth driver in the retail analytics market. The upswing in retail sales has necessitated the demand for sophisticated tools and techniques enabling retailers to optimize their operations and enhance their performance. Retailers can leverage the capabilities of retail analytics to scrutinize sales data, inventory levels, customer behavior, and other pertinent metrics to obtain crucial insights into their business and make well-informed decisions. Estimates from the 2021 Annual Retail Trade Survey (ARTS) by the US Census Bureau highlight a surge of 17.1% in retail sales in the country. The sales increased from $5,572.0 billion in 2020 to $6,522.6 billion in 2021. This increase in sales volume challenges retailers, making it increasingly difficult to derive valuable insights. In such a scenario, adopting retail analytics can empower retailers to analyze data effectively, discern trends and patterns, and make quick and data-driven decisions.

Based on deployment, the retail analytics market is expected to witness positive growth in the cloud segment.

The retail analytics market through cloud deployment is expected to grow significantly during the projected period. Cloud deployment offers various advantages, such as scalability, flexibility, and cost-effectiveness, which drive the adoption of retail analytics on the cloud. The segment is expected to witness significant growth due to the increasing demand for real-time insights, the growing use of smartphones and social media, and retailers' increasing adoption of cloud-based solutions.

North America accounted for a significant share of the global retail analytics market.

The retail analytics market is segmented into North America, South America, Europe, Middle East and Africa, and Asia Pacific regions. North America is a significant market for retail analytics software, owing to numerous established retail companies and high internet penetration rates in the region. Furthermore, the region has been an early adopter of cutting-edge technologies, making it a highly attractive market for retail analytics solution providers. The United States, with its large market share, is one of the most important markets for retail analytics in the region. Moreover, the region's market growth can be attributed to retailers' increasing emphasis on improving the customer experience through personalized marketing and customer service. Retailers are utilizing retail analytics to gain critical insights into customer behavior and preferences, which can be used to tailor marketing campaigns and enhance customer service.

Market Segmentation

BY TYPE

  • Software
  • Services

BY DEPLOYMENT

  • Cloud
  • On-premise

BY END-USER

  • Merchandising
  • Supply Chain
  • Strategy & Planning
  • Store Operations
  • Marketing

BY GEOGRAPHY

  • North America
    • USA
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Others
  • Europe
    • Germany
    • France
    • United Kingdom
    • Spain
    • Others
  • Middle East and Africa
    • Saudi Arabia
    • UAE
    • Israel
    • Others
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Indonesia
    • Taiwan
    • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base and Forecast Years Timeline

2. RESEARCH METHODOLOGY

  • 2.1. Research Data
  • 2.2. Research Design
  • 2.3. Validation

3. EXECUTIVE SUMMARY

  • 3.1. Research Highlights

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis

5. RETAIL ANALYTICS MARKET BY TYPE

  • 5.1. Introduction
  • 5.2. Software
  • 5.3. Services

6. RETAIL ANALYTICS MARKET BY DEPLOYMENT

  • 6.1. Introduction
  • 6.2. Cloud
  • 6.3. On-premise

7. RETAIL ANALYTICS MARKET BY END-USER

  • 7.1. Introduction
  • 7.2. Merchandising
  • 7.3. Supply Chain
  • 7.4. Strategy & Planning
  • 7.5. Store Operations
  • 7.6. Marketing

8. RETAIL ANALYTICS MARKET BY GEOGRAPHY

  • 8.1. Introduction
  • 8.2. North America
    • 8.2.1. USA
    • 8.2.2. Canada
    • 8.2.3. Mexico
  • 8.3. South America
    • 8.3.1. Brazil
    • 8.3.2. Argentina
    • 8.3.3. Others
  • 8.4. Europe
    • 8.4.1. Germany
    • 8.4.2. France
    • 8.4.3. United Kingdom
    • 8.4.4. Spain
    • 8.4.5. Others
  • 8.5. Middle East and Africa
    • 8.5.1. Saudi Arabia
    • 8.5.2. UAE
    • 8.5.3. Israel
    • 8.5.4. Others
  • 8.6. Asia Pacific
    • 8.6.1. China
    • 8.6.2. Japan
    • 8.6.3. India
    • 8.6.4. South Korea
    • 8.6.5. Indonesia
    • 8.6.6. Taiwan
    • 8.6.7. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 9.1. Major Players and Strategy Analysis
  • 9.2. Emerging Players and Market Lucrativeness
  • 9.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 9.4. Vendor Competitiveness Matrix

10. COMPANY PROFILES

  • 10.1. SAP SE
  • 10.2. Salesforce
  • 10.3. Oracle
  • 10.4. Microsoft Corporation
  • 10.5. HCL Technologies Limited
  • 10.6. IBM
  • 10.7. Qlik
  • 10.8. Cloud Software Group, Inc.
  • 10.9. Sisense Inc.
  • 10.10. Wipro
  • 10.11. Zoho Corporation
  • 10.12. ALTERYX