Smart Retail

Global Smart Retail Market to Reach US$143.1 Billion by 2030

The global market for Smart Retail estimated at US$43.1 Billion in the year 2024, is expected to reach US$143.1 Billion by 2030, growing at a CAGR of 22.2% over the analysis period 2024-2030. Visual Marketing, one of the segments analyzed in the report, is expected to record a 19.1% CAGR and reach US$5.8 Billion by the end of the analysis period. Growth in the Intelligent System segment is estimated at 21.4% CAGR over the analysis period.

The U.S. Market is Estimated at US$10.6 Billion While China is Forecast to Grow at 23.9% CAGR

The Smart Retail market in the U.S. is estimated at US$10.6 Billion in the year 2024. China, the world`s second largest economy, is forecast to reach a projected market size of US$20.2 Billion by the year 2030 trailing a CAGR of 23.9% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 17.8% and 22.8% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 20.7% CAGR.

Global Smart Retail Market - Key Trends & Drivers Summarized

What Is Smart Retail and How Is It Transforming Shopping Experiences?

Smart retail refers to the integration of advanced digital technologies into traditional retail settings to enhance both operational efficiencies and customer experiences. At its core, smart retail employs IoT devices, artificial intelligence (AI), big data analytics, and augmented reality (AR) to create a seamless, personalized shopping journey. This technology-driven approach helps retailers understand consumer behaviors at a granular level, allowing them to tailor products, services, and promotions to individual preferences and historical data. Smart shelves, for instance, not only monitor inventory in real time but also gather data on shopper interactions with products, providing insights that can lead to better stock management and personalized marketing. Additionally, smart retail facilitates the use of mobile checkout processes, interactive kiosks, and virtual fitting rooms, significantly enhancing the in-store customer experience and reducing friction points.

How Does Technology Propel Operational Excellence in Smart Retail?

The deployment of AI and machine learning algorithms marks a significant milestone in the evolution of smart retail. These technologies automate complex processes such as demand forecasting, pricing optimization, and customer service management, leading to increased accuracy and operational efficiency. AI-powered chatbots and virtual assistants provide 24/7 customer service, handling inquiries and resolving issues faster than traditional methods. Moreover, the integration of blockchain technology ensures transparency and security in transactions, building trust among consumers. Data analytics play a pivotal role as well, enabling retailers to extract valuable insights from large volumes of consumer data, which can be used to optimize supply chains, enhance product placements, and predict future buying patterns. These technological advancements collectively reduce costs, increase sales, and improve the overall health of retail operations.

What Trends Are Shaping the Future of Smart Retail?

Several trends are currently shaping the future of smart retail, each driven by technological advancements and changing consumer expectations. One of the most significant trends is the rise of omnichannel retailing, where the distinction between online and offline shopping blurs, creating a cohesive customer experience across multiple platforms. This model relies heavily on technology to ensure that inventory and pricing information is consistent across all channels. Another trend is the increasing use of AR and VR to enhance the physical retail experience, allowing customers to visualize products in their own space or try on clothes virtually before making a purchase. Additionally, the growing emphasis on sustainability has led to the adoption of smart technologies that minimize waste and improve energy efficiency within retail operations. These trends not only cater to the immediate needs of consumers but also address broader societal concerns, making smart retail a dynamic and evolving field.

What Drives the Growth in the Smart Retail Market?

The growth in the smart retail market is driven by several factors that reflect the changing landscape of technology, consumer behavior, and economic conditions. Technological innovations, such as AI, IoT, and big data analytics, are crucial as they provide the backbone for creating efficient and personalized shopping experiences. Consumer demand for convenience, speed, and personalization in shopping experiences influences retailers to adopt smart technologies that meet these expectations. Moreover, the COVID-19 pandemic accelerated the adoption of contactless services and digital solutions in retail, a trend that is likely to continue post-pandemic. The economic benefits associated with smart retail, including reduced operational costs and increased sales through targeted marketing and optimized stock management, also contribute to its growth. Additionally, as consumers become more tech-savvy, there is a natural progression towards embracing digital solutions in retail settings, further driving the market forward. These drivers ensure the sustained relevance and expansion of smart retail in the global market.

SCOPE OF STUDY:

The report analyzes the Smart Retail market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:
Component (Hardware, Software); Application (Visual Marketing, Intelligent System, Smart Payment System, Smart Label, Other Applications)

Geographic Regions/Countries:
World; USA; Canada; Japan; China; Europe; France; Germany; Italy; UK; Rest of Europe; Asia-Pacific; Rest of World.

Select Competitors (Total 61 Featured) -

• Hitachi Ltd.
• Honeywell International, Inc.
• Google LLC
• Amazon.com, Inc.
• Amazon Web Services, Inc.
• Capgemini SE
• Avnet, Inc.
• Deloitte Touche Tohmatsu Ltd.
• Google Cloud Platform
• Hitachi Vantara LLC
• Bossa Nova Robotics, Inc.
• Diebold Nixdorf, Inc.
• Estimote, Inc.
• Focal Systems Inc.
• Clovity

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