市场调查报告书
商品编码
1470964
零售分析市场:按组件、业务功能、部署模型、零售商店类型、应用程式、最终用户划分 - 2024-2030 年全球预测Retail Analytics Market by Component (Services, Software), Business Function (Finance, Human Resources, Marketing & Sales), Deployment Model, Retail Store Type, Application, End User - Global Forecast 2024-2030 |
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预计2023年零售分析市场规模为80.1亿美元,2024年将达93.7亿美元,2030年将达250.6亿美元,复合年增长率为17.69%。
零售分析是提供存量基准、供应链变动、消费者需求和销售等分析资料的过程,这对于零售业的关键决策至关重要。我们结合使用统计分析、预测建模和资料探勘工具来显着了解和增强您的零售业务,从而最大限度地提高销售额并最大限度地降低成本。电子商务的普及和网路购物的激增产生了大量资料,正在为零售分析市场创建一个平台。线上和线下销售管道的整合需要更全面的资料分析方法,以确保所有平台上一致且有效的客户参与。与使用零售分析解决方案相关的资料隐私和安全问题正在阻碍市场成长。先进分析、人工智慧和机器学习技术的整合可以实现更先进的资料分析并为零售商提供更深入的见解,预计将为市场成长创造机会。
主要市场统计 | |
---|---|
基准年[2023] | 80.1亿美元 |
预测年份 [2024] | 93.7亿美元 |
预测年份 [2030] | 250.6亿美元 |
复合年增长率(%) | 17.69% |
越来越多地使用零售分析,从而能够收集、处理和分析组件零售业务中产生的资料
零售分析服务是指企业为零售商提供的各种支援和活动,以增强其资料分析能力。这些服务对于帮助零售商做出明智的决策、优化营运和提高客户满意度至关重要。託管服务是与零售分析相关的特定业务和任务的外包。託管服务提供者代表零售商监控、管理和分析资料。此选项适合希望将复杂的资料管理业务留给专业公司并专注于核心业务活动的零售公司。专业服务包括零售分析解决方案的咨询、实施和培训等专业支援。这些服务由专家提供,他们指导零售商如何有效地利用分析工具、解释资料和利用见解来实现业务目标。无论是整合新软体还是优化现有分析策略,专业服务都可以在提高零售商的分析能力方面发挥关键作用。在零售分析中,软体可以处理、收集和分析零售业务中产生的大量资料。该软体提供了对客户行为、销售业绩、库存管理等的洞察。它们的范围从用于资料视觉化的简单仪表板工具到用于预测分析的复杂机器学习演算法。有了合适的软体,原始资料可以转化为可操作的见解,帮助零售商做出更明智的决策、预测趋势并提高产品质量,从而有效地满足客户需求,这将帮助您进行调整。
部署模型:云端部署可能是由于弹性、扩充性和易于存取性。
云端上也称为云端基础的部署,意味着您的零售分析软体和资料託管在服务供应商的远端伺服器上。使用者透过网路存取这些服务。该模型以其弹性、扩充性和可访问性而闻名。最重要的是,各种规模的零售商都可以利用强大的分析工具,而无需大量硬体投资或大量 IT 人员。资料管理、软体更新和基础设施维护由您的服务提供者负责,因此您的系统始终是最新且安全的。本地部署模型涉及直接在公司的伺服器和电脑上安装零售分析软体。这种方法使公司能够完全控制他们的资料和分析工具,使他们能够自订安全措施并与现有系统整合。具有严格资料安全要求或希望控制IT基础设施基础架构各个方面的组织通常会选择本地部署。虽然此模型提供了更好的控制和潜在的安全增强功能,但它需要在硬体、软体许可证以及可以管理和维护系统的 IT 团队方面进行大量前期投资。此外,更新和扩展需要额外的资源和时间。
区域洞察
零售分析解决方案在美洲已广泛普及,重点是采用人工智慧和机器学习等先进技术,以改善客户体验、简化营运并更好地了解消费行为。这些国家的零售公司正在投资分析工具来预测趋势、更有效地管理库存以及个人化行销策略。包括巴西和墨西哥在内的南美洲正在越来越多地利用这些解决方案,并正在推动数位转型工作。亚太地区的零售分析正在快速成长,特别是在中国、印度和东南亚等国家,由于其庞大的人口和不断成长的中产阶级。网路购物、行动普及和数位付款的激增迫使零售商实施分析解决方案来优化其线上和线下策略。这里的重点是了解消费者模式、优化供应链以及增强客户与资料的客户参与。亚太地区市场多样化的消费者偏好和行为使得分析成为该地区零售商的重要工具。在欧洲,合规性和资料保护很重要,需要提高客户满意度和业务效率。零售公司正在使用分析来了解客户偏好并根据 GDPR(一般资料保护规范)准则简化业务。中东正在经历数位转型,阿联酋和沙乌地阿拉伯等国家越来越多地采用零售分析来改善客户体验并整合线上和线下零售通路。在非洲,网路和智慧型手机的普及正在不断提高,尤其是南非和奈及利亚。
FPNV定位矩阵
FPNV 定位矩阵对于评估零售分析市场至关重要。我们检视与业务策略和产品满意度相关的关键指标,以对供应商进行全面评估。这种深入的分析使用户能够根据自己的要求做出明智的决策。根据评估,供应商被分为四个成功程度不同的像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市场占有率分析
市场占有率分析是一种综合工具,可以对零售分析市场中供应商的现状进行深入而深入的研究。全面比较和分析供应商在整体收益、基本客群和其他关键指标方面的贡献,以便更好地了解公司的绩效及其在争夺市场占有率时面临的挑战。此外,该分析还提供了对该行业竞争特征的宝贵见解,包括在研究基准年观察到的累积、分散主导地位和合併特征等因素。这种详细程度的提高使供应商能够做出更明智的决策并制定有效的策略,从而在市场上获得竞争优势。
1. 市场渗透率:提供有关主要企业所服务的市场的全面资讯。
2. 市场开拓:我们深入研究利润丰厚的新兴市场,并分析其在成熟细分市场的渗透率。
3. 市场多元化:提供有关新产品发布、开拓地区、最新发展和投资的详细资讯。
4.竞争力评估及资讯:对主要企业的市场占有率、策略、产品、认证、监管状况、专利状况、製造能力等进行全面评估。
5. 产品开发与创新:提供对未来技术、研发活动和突破性产品开发的见解。
1. 零售分析市场的市场规模与预测为何?
2.零售分析市场预测期内需要考虑投资的产品、细分市场、应用程式和领域有哪些?
3.零售分析市场的技术趋势与法规结构是什么?
4.零售分析市场主要供应商的市场占有率为何?
5. 进入零售分析市场的适当型态或策略手段是什么?
[189 Pages Report] The Retail Analytics Market size was estimated at USD 8.01 billion in 2023 and expected to reach USD 9.37 billion in 2024, at a CAGR 17.69% to reach USD 25.06 billion by 2030.
Retail analytics involves the process of providing analytical data on inventory levels, supply chain movement, consumer demand, and sales, which is crucial for making critical decisions within the retail sector. It uses a mix of statistical analysis, predictive modeling, and data-mining tools to understand and enhance retail operations significantly, aiming to maximize sales and minimize costs. Increased E-commerce adoption with the surge in online shopping that produces vast amounts of data is creating a platform for the retail analytics market. The blending of online and offline sales channels necessitates a more integrated approach to data analysis to ensure consistent and effective customer engagement across all platforms. Data privacy and security concerns with the usage of retail analytics solutions hampers the market growth. The integration of advanced analytics, AI, and machine learning technologies that enable more sophisticated data analysis and provide deeper insights for retailers are expected to create opportunities for market growth.
KEY MARKET STATISTICS | |
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Base Year [2023] | USD 8.01 billion |
Estimated Year [2024] | USD 9.37 billion |
Forecast Year [2030] | USD 25.06 billion |
CAGR (%) | 17.69% |
Component: Rising usage of retail analytics that enables the collection, processing, and analysis of data generated in the retail sector
In the retail analytics, services pertain to various support and activities provided by firms to retailers, aiming to enhance their data analysis capabilities. These services are crucial for retailers to make informed decisions, optimize operations, and improve customer satisfaction. Managed services is the outsourcing of certain tasks or operations related to retail analytics. Providers of managed services take on the responsibility of monitoring, managing, and analyzing data on behalf of the retailer. This option is suitable for retailers that focuses on their vital business activities while leaving the complex data management tasks to specialized companies. Professional services include specialized support such as consultation, implementation, and training related to retail analytics solutions. These services are offered by experts who guide retailers on how to effectively utilize analytics tools, interpret data, and apply insights to achieve business goals. Whether it's integrating new software or optimizing existing analytics strategies, professional services play a key role in enhancing a retailer's analytical capabilities. In retail analytics, software enables the processing, collection, and analysis of huge amounts of data generated in the retail sector. This software provides insights into customer behavior, sales performance, inventory management, and more. It ranges from simple dashboard tools for data visualization to complex machine learning algorithms for predictive analytics. The right software can transform raw data into actionable insights, helping retailers to make smarter decisions, forecast trends, and tailor their offerings to meet customer needs effectively.
Deployment Model: High potential for on-cloud deployment due to its flexibility, scalability, and ease of access
On-cloud, also known as cloud-based deployment, means that the retail analytics software and data are hosted on the service provider's remote servers. Users access these services over the Internet. This model is known for its flexibility, scalability, and ease of access. Notably, it allows retail businesses of all sizes to leverage powerful analytics tools without the need for substantial hardware investments or an extensive IT staff. The data management, software updates, and infrastructure maintenance are handled by the service provider, ensuring that the system is always up-to-date and secure. The on-premises deployment model involves installing the retail analytics software directly on the company's own servers and computers. This approach gives businesses complete control over their data and analytics tools, allowing for customized security measures and integration with existing systems. On-premises deployment is often chosen by organizations that have strict data security requirements or those that prefer to manage all aspects of their IT infrastructure. While offering higher levels of control and potentially enhanced security, this model requires significant upfront investment in hardware, software licenses, and an IT team capable of managing and maintaining the system. Additionally, updates and scaling require additional resources and time.
Regional Insights
In the Americas, retail analytics solutions have a significant adoption with a strong emphasis on enhancing customer experience, streamlining operations, and employing advanced technologies, including AI and ML, to understand consumer behavior better. Retailers in these countries are investing in analytics tools to forecast trends, manage inventory more effectively, and personalize marketing strategies. South America, with countries including Brazil and Mexico, is increasingly leveraging these solutions and is propelled by digital transformation initiatives. The APAC region is witnessing rapid growth in retail analytics, fueled by its vast population and the rising middle class, especially in countries such as China, India, and Southeast Asia. The surge in online shopping, mobile penetration, and digital payments pushes retailers to adopt analytics solutions to optimize their online and offline strategies. The focus here is on understanding consumer patterns, optimizing supply chains, and enhancing customer engagement through data. The diversity of the APAC market, with its varied consumer preferences and behaviors, makes analytics an essential tool for retailers operating in this region. In Europe, there's a strong focus on compliance and data protection and the need to enhance customer satisfaction and operational efficiency. Retailers are leveraging analytics to gain insights into customer preferences and streamline their operations, aligning with GDPR (General Data Protection Regulation) guidelines. The Middle East is witnessing a digital transformation, with countries including the UAE and Saudi Arabia leading the adoption of retail analytics to enhance customer experiences and integrate online and offline retail channels. Africa shows promise, particularly in South Africa and Nigeria, driven by increasing internet and smartphone penetration.
FPNV Positioning Matrix
The FPNV Positioning Matrix is pivotal in evaluating the Retail Analytics Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
Market Share Analysis
The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Retail Analytics Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Key Company Profiles
The report delves into recent significant developments in the Retail Analytics Market, highlighting leading vendors and their innovative profiles. These include 1010data, Inc. by SymphonyAI LLC, Amazon Web Services, Inc., Amazon.com, Inc., Analytics8, LLC, CARTO, DataWeave Software Private Limited, Domo, Inc., Fractal Analytics Inc., Fujitsu Limited, Google, LLC by Alphabet Inc., HCL Technologies Ltd., Intelligence Node, International Business Machines Corporation, LatentView Analytics, Microsoft Corporation, MicroStrategy Incorporated, Oracle Corporation, QlikTech International AB, RetailNext Inc., Salesforce, Inc., SAP SE, Sisense Ltd., Standard Cognition, Corp., Teledyne FLIR LLC, and Teradata Corporation.
Market Segmentation & Coverage
1. Market Penetration: It presents comprehensive information on the market provided by key players.
2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.
1. What is the market size and forecast of the Retail Analytics Market?
2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Retail Analytics Market?
3. What are the technology trends and regulatory frameworks in the Retail Analytics Market?
4. What is the market share of the leading vendors in the Retail Analytics Market?
5. Which modes and strategic moves are suitable for entering the Retail Analytics Market?