市場調查報告書
商品編碼
1452861
全球零售分析市場規模、佔有率、成長分析、按類型、部署 - 2024-2031 年產業預測Global Retail Analytics Market Size, Share, Growth Analysis, By Type(Software and Hardware), By Deployment(On-Premise and Cloud-Based) - Industry Forecast 2024-2031 |
2022年全球零售分析市場規模為72億美元,預計從2023年的84.1億美元成長到2031年的291.3億美元,預測期(2024-2031)年複合成長率為16.80%。
零售業最近的變化凸顯了零售分析日益成長的重要性。數位化的出現為消費者提供了更多選擇、簡化了購買流程並節省了時間。結果,產生了豐富而大量的資料,在速度、數量和種類方面顯著影響市場動態。網路購物的激增、社交媒體的整合以及智慧型手機的普及等因素推動零售分析的成長並簡化消費者的購物流程。企業利用 Facebook 等社群媒體平台來深入了解客戶需求、品牌認知、忠誠度和回饋。庫存管理、策略規劃和了解客戶購買行為方面對零售分析的需求不斷成長,預計將推動市場成長。零售分析市場包括各種類別,例如分析軟體、解決方案、服務、業務功能、部署、資料管理軟體、視覺化工具和行動應用程式。鑑於了解線下消費者行為的高成本和複雜性,傳統商店型零售商依賴最佳化、庫存管理和叢集規劃等領域的零售分析,預計將從中受益。由於零售分析解決方案和先進系統的普及,預計北美將引領市場。全球零售分析市場的主要企業包括 Adobe Systems、Oracle、IBM、SAS Institute 和 SAP AG,它們提供跨各種業務業務的全面解決方案,包括行銷、客戶分析、供應鏈管理和商店分析。
Global Retail Analytics Market size was valued at USD 7.2 billion in 2022 and is poised to grow from USD 8.41 billion in 2023 to USD 29.13 billion by 2031, growing at a CAGR of 16.80% during the forecast period (2024-2031).
Recent shifts in the retail sector have highlighted the growing importance of retail analytics, which plays a crucial role in driving expansion and fostering stronger connections with customers. The advent of digitalization has empowered consumers with more choices, streamlining purchases and saving time. Consequently, a wealth of extensive data has been generated, significantly impacting market dynamics in terms of speed, volume, and diversity. Factors such as the surge in online shopping, integration of social media, and widespread smartphone usage have propelled the growth of retail analytics, simplifying the shopping process for consumers. Enterprises have leveraged social media platforms like Facebook to gain deeper insights into customer needs, brand perception, loyalty, and feedback. The increasing demand for retail analytics in inventory management, strategic planning, and understanding customer purchasing behaviors is expected to drive positive market growth. The retail analytics market encompasses various categories such as analytics software, solutions, services, business functions, deployments, data management software, visualization tools, and mobile applications. Despite challenges such as high costs and complexities in understanding offline consumer actions, traditional brick-and-mortar retailers are expected to benefit from retail analytics in areas like optimization, inventory management, and cluster planning. North America is projected to lead the market due to widespread adoption of retail analytics solutions and advanced systems. Major players in the global retail analytics market include Adobe Systems, Oracle, IBM, SAS Institute, and SAP AG, offering comprehensive solutions across various corporate operations such as marketing, customer analytics, supply chain management, and store analytics.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Retail Analytics Market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Retail Analytics Market Segmental Analysis
The Global Retail Analytics market is segmented by type, deployment, and region. Based on type, the market can be segmented into software and hardware. Based on deployment, the market is segmented into on-premise and cloud-based deployment. Based on region, the market is segmented into North America, Europe, Asia Pacific, Middle East and Africa, and Latin America.
Drivers of the Global Retail Analytics Market
The global retail analytics market is propelled by the growing embrace of digitalization and the widespread use of smartphones, simplifying the shopping experience for consumers. With the surge in online shopping, retailers are turning to retail analytics tools to understand customer behavior, preferences, and purchasing trends. This empowers retailers to tailor the shopping journey for each customer and implement focused marketing strategies. Consequently, the market for retail analytics solutions is anticipated to expand significantly in the foreseeable future.
Restraints in the Global Retail Analytics Market
The primary obstacle facing the global retail analytics market is the considerable expense associated with implementation and the shortage of qualified individuals to oversee it. Deploying retail analytics solutions necessitates substantial investments in both hardware and software, along with the recruitment and training of proficient personnel. Moreover, the challenge of understanding offline consumer behavior further compounds these difficulties, potentially impeding market advancement. These factors collectively pose entry barriers for small and medium-sized retailers, thereby constraining market expansion.
Market Trends of the Global Retail Analytics Market
A prominent trend in the global retail analytics market involves a growing reliance on artificial intelligence (AI) and machine learning (ML) to sift through the extensive data produced by retailers. By leveraging AI and ML, retailers can swiftly uncover valuable insights into customer habits and preferences, facilitating personalized shopping experiences. Furthermore, these technologies aid in demand prediction, inventory optimization, and cost reduction, enhancing operational efficiency. The seamless integration of AI and ML into retail analytics solutions is poised to fuel market expansion in the foreseeable future.