USD 30.30 billion
Report ID:
SQMIG25Z2010 |
Region:
Global |
Published Date: August, 2024
Pages:
223
|Tables:
91
|Figures:
76
Smart Retail Market size was valued at USD 39.05 Billion in 2023 and is poised to grow from USD 50.41 Billion in 2024 to USD 389.03 Billion by 2032, growing at a CAGR of 29.10% during the forecast period (2025-2032).
Growing emphasis of retail organizations on improving the user shopping experience and rising demand for personalized shopping experiences are projected to drive smart retail market growth. Increasing penetration of digital technologies in the retail industry and emphasis on improving efficiency of retail operations are also creating new opportunities for smart retail companies. Evolving consumer preferences, advancements in retail technologies, and growing acceptance of smart retail solutions are also expected to boost smart retail market development in the future. Moreover, rising volumes of data and demand for data-driven decision-making in retail businesses will also promote the sales of smart retail solutions and systems in the long run. However, high costs of deployment, data privacy concerns, and dependence of reliable internet connectivity are some restraints that could hinder smart retail market growth potential going forward.
Global Market Size
USD 30.30 billion
Largest Segment
Hardware
Fastest Growth
Software
Growth Rate
29% CAGR
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Global Smart Retail Market is segmented by system, application, retail offering, technology, and region. Based on system, the market can be segmented into Digital signage solutions, Smart Labels, Smart Payment Systems, Intelligent Vending Machines, Augmented Reality Solutions, Virtual Reality Solutions, POS Solutions, Smart Cards, Robotics, and Analytics (AI). Based on retail offering market is segmented into Apparel and accessories, fast moving consumer goods, hardlines and leisure goods, others. Based on application, the market is segmented into Visual Marketing, Smart Label, Smart Payment System, Intelligent System and others. Based on technology, the market is segmented into Visual Recognition, Blockchain, Artificial Intelligence (AI), and Mobile. Based on region, the market is segmented into North America, Europe, Asia Pacific, Middle East and Africa, and Latin America.
Analysis by Technology
Artificial intelligence is projected to emerge as the most widely used technology in the global smart retail market. Wide application scope and rapid advancements in artificial intelligence technologies help the dominance of this segment. Growing demand for automation and emphasis on improving retail shopping experiences are also forecasted to benefit market development going forward.
On the other hand, the demand for visual recognition technologies is projected to increase at a rapid pace across the forecast period and beyond. Growing adoption of contactless payments, self-checkout terminals, and high demand for personalized shopping experiences are projected to help this segment boost market growth at a rapid pace. Advancements in visual recognition technologies and their integration with artificial intelligence and machine learning will offer new business scope for smart retail companies.
Analysis by System
Digital signage systems are estimated to account for a prominent chunk of the global smart retail market share. Growing emphasis of retail businesses to improve their marketing and attract more customers is projected to promote the demand for digital signage systems in the future. Moreover, increasing affordability and availability of novel digital signage systems that are more capable of getting better customer engagement is also expected to help the dominance of this segment.
On the other hand, the demand for smart payment systems is projected to increase rapidly over the coming years. Growing demand for faster and more efficient payment systems around the world will drive market growth via this segment. Rising popularity of contactless payment systems and advancements in payment authentication technologies will also help generate new opportunities for smart retail companies through this segment.
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Presence of a strong retail infrastructure and willingness of retail organizations to opt for smart retail solutions has allowed North America to hold a dominant stance in the global market. Canada and the United States are slated to remain the most opportune markets for smart retail companies in this region. Presence of an aware consumer base and high consumer spending potential are also encouraging the adoption of smart retail solutions and services in this region. Integration of artificial intelligence to provide personalized customer experience and gain valuable insights on consumer behavior will also generate good revenue for smart retail companies.
The Asia Pacific region is projected to emerge as the fastest-growing market for smart retail companies in the world. Rapid urbanization and evolving consumer preferences are projected remain the primary factors driving up the demand for smart retail in this region. China, India, and Japan are estimated to spearhead smart retail demand owing to the presence of a massive retail consumer base in these countries. Investments in retail infrastructure development, growing disposable income, and boom in e-commerce activity are factors that influence the adoption of smart retail in this region.
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Drivers
Personalized Shopping Experience
Growing e-Commerce Activity
Restraints
High Costs of Implementation
Data Privacy Concerns
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Smart retail companies should invest in the development of solutions and services that enhance the shopping experience for retail customers. Integrating artificial intelligence with smart retail solutions will be a major trend that no company should miss out on going forward. Collaborations, mergers, and acquisitions will also be common strategies used by smart retail companies to expand their market share and business presence on a global level.
Smart Retail Market Top Player’s Company Profiles
Smart Retail Market Recent Developments
Personalization of Retail Experience
Use of AI for Analytics
SkyQuest’s ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Correlates, and Analyses the Data collected by means of Primary Exploratory Research backed by robust Secondary Desk research.
As per SkyQuest analysis, evolving consumer preferences and growing proliferation of digital technologies in the retail industry are projected to drive the demand for smart retail over the coming years. On the contrary, high costs of deployment and data privacy concerns are key issues that slow down the global smart retail market development. Presence of strong retail infrastructure and early adoption of advanced technologies helps North America remain the top market for smart retail companies. Integration of artificial intelligence and high demand for personalized shopping experiences will bolster the demand for smart retail over the coming years.
Report Metric | Details |
---|---|
Market size value in 2022 | USD 30.25 billion |
Market size value in 2031 | USD 301.34 billion |
Growth Rate | 29.10% |
Base year | 2023 |
Forecast period | 2024-2031 |
Forecast Unit (Value) | USD Billion |
Segments covered |
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Regions covered | North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA) |
Companies covered |
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Customization scope | Free report customization with purchase. Customization includes:-
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Executive Summary
Market overview
Parent Market Analysis
Market overview
Market size
KEY MARKET INSIGHTS
COVID IMPACT
MARKET DYNAMICS & OUTLOOK
Market Size by Region
KEY COMPANY PROFILES
For the Smart Retail Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:
1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.
2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the Smart Retail Market.
3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.
4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.
Customization Options
With the given market data, our dedicated team of analysts can offer you the following customization options are available for the Smart Retail Market:
Product Analysis: Product matrix, which offers a detailed comparison of the product portfolio of companies.
Regional Analysis: Further analysis of the Smart Retail Market for additional countries.
Competitive Analysis: Detailed analysis and profiling of additional Market players & comparative analysis of competitive products.
Go to Market Strategy: Find the high-growth channels to invest your marketing efforts and increase your customer base.
Innovation Mapping: Identify racial solutions and innovation, connected to deep ecosystems of innovators, start-ups, academics, and strategic partners.
Category Intelligence: Customized intelligence that is relevant to their supply Markets will enable them to make smarter sourcing decisions and improve their category management.
Public Company Transcript Analysis: To improve the investment performance by generating new alpha and making better-informed decisions.
Social Media Listening: To analyze the conversations and trends happening not just around your brand, but around your industry as a whole, and use those insights to make better Marketing decisions.
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Report ID: SQMIG25Z2010
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