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市場調査レポート
商品コード
1656009
リテールアナリティクス市場規模、シェア、成長分析:提供別、ビジネス機能別、用途別、地域別 - 産業予測 2025~2032年Retail Analytics Market Size, Share, and Growth Analysis, By Offering (Software, Services), By Business Function (Sales & Marketing, Finance & Accounting), By Application, By Region - Industry Forecast 2025-2032 |
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リテールアナリティクス市場規模、シェア、成長分析:提供別、ビジネス機能別、用途別、地域別 - 産業予測 2025~2032年 |
出版日: 2025年02月11日
発行: SkyQuest
ページ情報: 英文 197 Pages
納期: 3~5営業日
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リテールアナリティクス市場規模は2023年に81億米ドルとなり、予測期間(2025-2032年)のCAGRは24.3%で、2024年の100億7,000万米ドルから2032年には573億8,000万米ドルに成長する見通しです。
リテールアナリティクス市場は、ビッグデータ、データマイニング、機械学習などの先進技術に後押しされ、大きな成長を遂げています。これらの技術革新により、企業は膨大なデータセットから貴重な洞察を得ることができ、消費者の行動パターンに基づいたデータ主導の意思決定や業務の最適化が可能になります。企業が市場動向や顧客の嗜好をより深く洞察することで、収益創出と販売実績が強化されます。オムニチャネルコマースへのシフトは、この傾向をさらに後押ししています。AIを活用したアナリティクスによって、小売企業は顧客の需要を予測し、オファーをパーソナライズし、在庫管理を合理化することが可能になり、最終的に収益と顧客満足度を高めることができます。さらに、デジタル決済システムやeコマースの台頭により、企業は購買動向の把握やサプライチェーンの最適化にアナリティクスを活用することに熱心になっており、今日のダイナミックな市場で競争力を獲得するためには高度なリテールアナリティクスが不可欠となっています。
Retail Analytics Market size was valued at USD 8.1 billion in 2023 and is poised to grow from USD 10.07 billion in 2024 to USD 57.38 billion by 2032, growing at a CAGR of 24.3% during the forecast period (2025-2032).
The retail analytics market is witnessing significant growth, fueled by advanced technologies like big data, data mining, and machine learning. These innovations allow businesses to glean valuable insights from vast datasets, enabling data-driven decision-making and operational optimization around consumer behavior patterns. As firms gain deeper insights into market trends and customer preferences, they enhance revenue generation and sales performance. The shift towards omnichannel commerce further supports this trend, as AI-enabled analytics empower retailers to anticipate client demand, personalize offers, and streamline inventory management, ultimately boosting revenue and customer satisfaction. Moreover, with the rise of digital payment systems and e-commerce, companies are keen to leverage analytics for identifying buying trends and optimizing supply chains, making advanced retail analytics essential for gaining a competitive edge in today's dynamic market.
Top-down and bottom-up approaches were used to estimate and validate the size of the 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.
Retail Analytics Market Segments Analysis
Global Retail Analytics Market is segmented by Offering, Business Function, Application and region. Based on Offering, the market is segmented into Software and Services. Based on Business Function, the market is segmented into Sales & Marketing, Finance & Accounting, Operations & Supply Chain and HR. Based on Application, the market is segmented into Order Fulfillment & Returns Management, Customer Relationship Management, Price Recommendation & Optimization, Merchandise Planning, Supply Chain Management, Fraud Detection & Prevention and Other Applications. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Retail Analytics Market
The retail analytics market is significantly propelled by the rapid expansion of e-commerce platforms. As online shopping continues to surge, retailers are increasingly utilizing analytics to enhance the customer experience by personalizing shopping interactions, optimizing inventory management, and gaining insights into consumer preferences. The ability to leverage data-driven decision-making not only helps retailers stay competitive but also allows them to capitalize on the growing trend of online purchases facilitated by improved mobile connectivity and advanced digital payment solutions. Consequently, retail analytics emerges as a crucial tool for businesses aiming to thrive in a dynamic retail landscape.
Restraints in the Retail Analytics Market
The Retail Analytics market faces several restraints due to the difficulties retailers encounter when integrating analytics technologies with various data sources and legacy systems. The challenge of synchronizing data from multiple channels, such as supply chains, brick-and-mortar stores, and online platforms, poses significant complications. This intricate process can result in delays during implementation, negatively impact operational efficiency, and hinder the smooth adoption of retail analytics solutions. Consequently, these barriers may deter retailers from fully leveraging advanced analytics capabilities, ultimately limiting their ability to optimize operations and enhance decision-making based on real-time insights.
Market Trends of the Retail Analytics Market
The Retail Analytics market is experiencing significant growth driven by the rise of omnichannel retailing, where retailers integrate physical stores, online platforms, and mobile applications to create a seamless shopping experience. This trend underscores the importance of retail analytics in tracking and analyzing customer behavior across multiple touchpoints, allowing retailers to optimize operations, manage inventory effectively, and personalize customer interactions. As retailers increasingly recognize the need for a unified and tailored approach to service delivery, investment in advanced analytics solutions has surged, positioning retail analytics as a vital component for enhancing customer satisfaction and maintaining competitive advantage in a dynamic market landscape.