市場調查報告書
商品編碼
1470964
零售分析市場:按組件、業務功能、部署模型、零售商店類型、應用程式、最終用戶分類 - 2024-2030 年全球預測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 |
※ 本網頁內容可能與最新版本有所差異。詳細情況請與我們聯繫。
預計2023年零售分析市場規模為80.1億美元,2024年將達93.7億美元,2030年將達250.6億美元,複合年成長率為17.69%。
零售分析是提供存量基準、供應鏈變動、消費者需求和銷售等分析資料的過程,這對於零售業的關鍵決策至關重要。我們結合使用統計分析、預測建模和資料探勘工具來顯著了解和增強您的零售業務,從而最大限度地提高銷售額並最大限度地降低成本。電子商務的普及和網路購物的激增產生了大量資料,正在為零售分析市場創建一個平台。線上和線下銷售管道的整合需要更全面的資料分析方法,以確保所有平台上一致且有效的客戶參與。與使用零售分析解決方案相關的資料隱私和安全問題正在阻礙市場成長。先進分析、人工智慧和機器學習技術的整合可以實現更先進的資料分析並為零售商提供更深入的見解,預計將為市場成長創造機會。
主要市場統計 | |
---|---|
基準年[2023] | 80.1億美元 |
預測年份 [2024] | 93.7億美元 |
預測年份 [2030] | 250.6億美元 |
複合年成長率(%) | 17.69% |
擴大使用零售分析,從而能夠收集、處理和分析組件零售業務中產生的資料
零售分析服務是指企業為零售商提供的各種支援和活動,以增強其資料分析能力。這些服務對於幫助零售商做出明智的決策、最佳化營運和提高客戶滿意度至關重要。託管服務是與零售分析相關的特定業務和任務的外包。託管服務提供者代表零售商監控、管理和分析資料。此選項適合希望將複雜的資料管理業務留給專業公司並專注於核心業務活動的零售公司。專業服務包括零售分析解決方案的諮詢、實施和培訓等專業支援。這些服務由專家提供,他們指導零售商如何有效地利用分析工具、解釋資料和利用見解來實現業務目標。無論是整合新軟體還是最佳化現有分析策略,專業服務都可以在提高零售商的分析能力方面發揮關鍵作用。在零售分析中,軟體可以處理、收集和分析零售業務中產生的大量資料。該軟體提供了對客戶行為、銷售業績、庫存管理等的洞察。它們的範圍從用於資料視覺化的簡單儀表板工具到用於預測分析的複雜機器學習演算法。有了合適的軟體,原始資料可以轉化為可操作的見解,幫助零售商做出更明智的決策、預測趨勢並提高產品質量,從而有效地滿足客戶需求,這將幫助您進行調整。
部署模型:雲端部署可能是由於彈性、擴充性和易於存取性。
雲端上也稱為雲端基礎的部署,意味著您的零售分析軟體和資料託管在服務供應商的遠端伺服器上。使用者透過網路存取這些服務。該模型以其彈性、擴充性和可訪問性而聞名。最重要的是,各種規模的零售商都可以利用強大的分析工具,而無需大量硬體投資或大量 IT 人員。資料管理、軟體更新和基礎設施維護由您的服務提供者負責,因此您的系統始終是最新且安全的。本地部署模型涉及直接在公司的伺服器和電腦上安裝零售分析軟體。這種方法使公司能夠完全控制他們的資料和分析工具,使他們能夠自訂安全措施並與現有系統整合。具有嚴格資料安全要求或希望控制IT基礎設施基礎架構各個方面的組織通常會選擇本地部署。雖然此模型提供了更好的控制和潛在的安全增強功能,但它需要在硬體、軟體許可證以及可以管理和維護系統的 IT 團隊方面進行大量前期投資。此外,更新和擴展需要額外的資源和時間。
區域洞察
零售分析解決方案在美洲已廣泛普及,重點是採用人工智慧和機器學習等先進技術,以改善客戶體驗、簡化營運並更好地了解消費行為。這些國家的零售公司正在投資分析工具來預測趨勢、更有效地管理庫存以及個人化行銷策略。包括巴西和墨西哥在內的南美洲正在擴大利用這些解決方案,並正在推動數位轉型工作。亞太地區的零售分析正在快速成長,特別是在中國、印度和東南亞等國家,由於其龐大的人口和不斷成長的中產階級。網路購物、行動普及和數位付款的激增迫使零售商實施分析解決方案來最佳化其線上和線下策略。這裡的重點是了解消費者模式、最佳化供應鏈以及增強客戶與資料的客戶參與。亞太地區市場多樣化的消費者偏好和行為使得分析成為該地區零售商的重要工具。在歐洲,合規性和資料保護很重要,需要提高客戶滿意度和業務效率。零售公司正在使用分析來了解客戶偏好並根據 GDPR(一般資料保護規範)準則簡化業務。中東正在經歷數位轉型,阿拉伯聯合大公國和沙烏地阿拉伯等國家擴大採用零售分析來改善客戶體驗並整合線上和線下零售通路。在非洲,網路和智慧型手機的普及正在不斷提高,尤其是南非和奈及利亞。
FPNV定位矩陣
FPNV 定位矩陣對於評估零售分析市場至關重要。我們檢視與業務策略和產品滿意度相關的關鍵指標,以對供應商進行全面評估。這種深入的分析使用戶能夠根據自己的要求做出明智的決策。根據評估,供應商被分為四個成功程度不同的像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市場佔有率分析
市場佔有率分析是一種綜合工具,可以對零售分析市場中供應商的現狀進行深入而深入的研究。全面比較和分析供應商在整體收益、基本客群和其他關鍵指標方面的貢獻,以便更好地了解公司的績效及其在爭奪市場佔有率時面臨的挑戰。此外,該分析還提供了對該行業競爭特徵的寶貴見解,包括在研究基準年觀察到的累積、分散主導地位和合併特徵等因素。這種詳細程度的提高使供應商能夠做出更明智的決策並制定有效的策略,從而在市場上獲得競爭優勢。
1. 市場滲透率:提供有關主要企業所服務的市場的全面資訊。
2. 市場開拓:我們深入研究利潤豐厚的新興市場,並分析其在成熟細分市場的滲透率。
3. 市場多元化:提供有關新產品發布、開拓地區、最新發展和投資的詳細資訊。
4.競爭力評估及資訊:對主要企業的市場佔有率、策略、產品、認證、監管狀況、專利狀況、製造能力等進行全面評估。
5. 產品開發與創新:提供對未來技術、研發活動和突破性產品開發的見解。
1. 零售分析市場的市場規模與預測為何?
2.零售分析市場預測期內需要考慮投資的產品、細分市場、應用程式和領域有哪些?
3.零售分析市場的技術趨勢與法規結構是什麼?
4.零售分析市場主要供應商的市場佔有率為何?
5. 進入零售分析市場的適當型態或策略手段是什麼?
[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?