Poland Smart Retail Market Overview, 2030

The smart retail market in Poland is undergoing a profound transformation, driven by the rapid adoption of advanced technologies, evolving consumer expectations, and a shifting competitive landscape. As the retail sector increasingly embraces digitalization, businesses are leveraging a diverse array of technologies to enhance customer experiences, optimize supply chain operations, and maintain competitive advantages. Retailers are integrating new tools and solutions, such as automated checkout systems, AI-powered recommendation engines, and IoT-enabled devices, to create a more seamless and personalized shopping experience. The growing demand for omnichannel retailing, where customers can shop seamlessly across both physical and digital platforms, has prompted the integration of digital touchpoints within traditional brick-and-mortar stores. This integration enables retailers to provide more convenience and personalization, fostering deeper consumer engagement. Additionally, the expansion of e-commerce and the global shift toward digital-first shopping have accelerated the need for physical stores to complement online shopping platforms rather than compete with them. These developments are also supported by favorable government policies that encourage innovation, further propelling the adoption of smart retail solutions. The increased focus on data protection and consumer privacy continues to shape the design and implementation of digital retail technologies, ensuring that consumer trust is maintained while technological advancements are pursued. As the retail industry embraces these changes, smart retail is no longer seen as a passing trend but is fast becoming a standard for modern retail operations.

According to the research report "Poland Smart Retail Market Overview, 2030," published by Bonafide Research, the Poland Smart Retail Market is anticipated to grow at more than 25.62% CAGR from 2025 to 2030. With digitalization progressing rapidly, the smart retail market is becoming increasingly sophisticated, offering a wide range of solutions tailored to meet diverse business needs and consumer demands. The use of smart technologies in retail is no longer limited to automation; it now includes advanced tools like predictive analytics, behavioral tracking, and real-time inventory management. These technologies are enabling retailers to enhance operational efficiency while gaining deeper insights into customer preferences and behaviors. In-store solutions, including digital signage, interactive kiosks, and smart shelves, are transforming physical retail environments into dynamic spaces where digital and physical experiences come together. On the back end, AI-driven platforms and cloud computing are streamlining supply chain processes by enabling real-time tracking of inventory, forecasting demand, and automating stock replenishment. The rise of mobile commerce and the widespread adoption of contactless payments and loyalty programs further illustrate the shift toward smarter retail models. Beyond operational efficiency, there is a growing emphasis on sustainability, with retailers increasingly adopting smart solutions to monitor and reduce their environmental impact while ensuring transparency in their supply chains. The convergence of global technology providers and the rise of local retail tech startups are fostering continuous innovation, creating opportunities for retailers to co-develop solutions tailored to meet the unique needs of their markets.

Hardware solutions are fundamental to the physical manifestation of the smart retail experience, encompassing devices such as point-of-sale terminals, interactive kiosks, smart shelves, digital signage, and various sensors. These devices enable real-time communication with customers, enhancing in-store experiences while automating processes like checkout and inventory tracking. The hardware plays a pivotal role in connecting the physical retail environment with digital technologies, bridging the gap between traditional shopping experiences and the evolving needs of modern consumers. On the software side, applications for customer relationship management (CRM), enterprise resource planning (ERP), inventory management, and data analytics form the backbone of intelligent retail operations. These software platforms enable retailers to personalize interactions, optimize pricing strategies, automate supply chain management, and derive insights from vast amounts of data to drive decision-making. Services, including consulting, system integration, cloud hosting, and maintenance, are vital for ensuring the smooth operation of hardware and software systems. Service providers work alongside retailers to implement customized solutions that meet specific business needs, ensuring compliance with local regulations and addressing concerns such as data privacy and security. The combination of hardware, software, and services creates a robust and adaptable smart retail ecosystem, allowing retailers to deliver enhanced experiences while maintaining operational efficiency and security.

The Internet of Things (IoT) plays a crucial role in connecting devices and platforms, enabling real-time data sharing and communication between physical objects such as shelves, sensors, and point-of-sale systems. IoT applications help retailers manage inventory, monitor customer behavior, and reduce loss through smart tracking and automated restocking. Artificial intelligence (AI) is another cornerstone of the smart retail landscape, offering capabilities such as personalized product recommendations, demand forecasting, and dynamic pricing strategies. AI also supports automation in customer service, with tools like chatbots and virtual assistants enhancing customer interactions and resolving inquiries in real time. Cloud computing serves as the backbone for many of these technologies, providing scalable and flexible infrastructure for data storage, application hosting, and cross-store collaboration. Big data analytics further strengthens the smart retail ecosystem by allowing retailers to analyze large volumes of data to uncover actionable insights, optimize supply chains, and predict customer needs. Robotics is making inroads in areas such as warehouse automation, order fulfillment, and even customer-facing roles, offering opportunities to increase operational efficiency. Emerging technologies like augmented reality (AR), virtual reality (VR), blockchain, 5G, and edge computing are also being explored for their potential to offer immersive shopping experiences, secure transactions, fast connectivity, and localized data processing.

Cloud-based deployment has become the preferred choice for many retailers due to its flexibility, ease of implementation, and cost-efficiency. By leveraging cloud solutions, retailers can deploy software applications quickly, manage multiple locations remotely, and access real-time data without significant upfront investment in physical infrastructure. Cloud solutions are particularly beneficial for smaller retailers and those operating across multiple channels, as they provide seamless integration between e-commerce platforms, mobile apps, and brick-and-mortar stores. Cloud-based solutions also allow for easy updates and scalability as retailers expand their operations. On-premise deployment continues to be relevant for certain businesses that prioritize control over sensitive data and require localized processing capabilities, such as high-end retailers or those dealing with proprietary information. On-premise systems offer greater customization options and allow for more direct control over security and privacy measures. Many retailers are adopting hybrid deployment models, combining the best aspects of both cloud-based and on-premise solutions. This allows them to store sensitive data on-premise while leveraging the scalability and flexibility of the cloud for less critical operations.



Considered in this report
• Historic Year: 2019
• Base year: 2024
• Estimated year: 2025
• Forecast year: 2030

Aspects covered in this report
• Smart Retail Market with its value and forecast along with its segments
• Various drivers and challenges
• On-going trends and developments
• Top profiled companies
• Strategic recommendation

By Solution Type
• Hardware
• Software
• Services

By Technology
• IoT
• Artificial Intelligence (AI)
• Cloud Computing
• Big Data Analytics
• Robotics
• Others (AR/VR, blockchain, 5G, edge computing, and digital twins)

By Deployment Mode
• Cloud-Based
• On-Premise

The approach of the report:
This report consists of a combined approach of primary as well as secondary research. Initially, secondary research was used to get an understanding of the market and listing out the companies that are present in the market. The secondary research consists of third-party sources such as press releases, annual report of companies, analyzing the government generated reports and databases. After gathering the data from secondary sources primary research was conducted by making telephonic interviews with the leading players about how the market is functioning and then conducted trade calls with dealers and distributors of the market. Post this we have started doing primary calls to consumers by equally segmenting consumers in regional aspects, tier aspects, age group, and gender. Once we have primary data with us we have started verifying the details obtained from secondary sources.

Intended audience
This report can be useful to industry consultants, manufacturers, suppliers, associations & organizations related to agriculture industry, government bodies and other stakeholders to align their market-centric strategies. In addition to marketing & presentations, it will also increase competitive knowledge about the industry.