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The future of the smart retail market looks promising with opportunities in various applications, such as foot-traffic monitoring, inventory management, loyalty management and payment, predictive equipment maintenance, brand protection, and smart fitting rooms. The global smart retail market is expected to decline in 2020 due to the global economic recession led by the COVID-19 pandemic. However, the market will witness recovery in the year 2021, and it is expected grow with a CAGR of 23% to 25% from 2020 to 2025. The major drivers for this market are increasing demand for big data analytics, machine learning, and artificial intelligence technologies by retailers and growing usage of robots and automation to provide better customer services. 
 
A more than 150 page report is developed to help in your business decisions. Sample figures with some insights are shown below. To learn the scope of, benefits, companies researched and other details of smart retail market report download the report brochure.
 
The study includes trends and forecasts for the global smart retail market by system, application, retail offering, solution, and region as follows:
 
By System [$M shipment analysis for 2014 – 2025]:
  • Digital Signage Solutions
  • Smart Labels
  • Smart Payment Systems
  • Intelligent Vending Machines
  • Augmented Reality Solutions
  • Virtual Reality Solutions
  • POS Solutions
  • Smart Carts
  • Robotics
  • Analytics 
By Application [$M shipment analysis for 2014 – 2025]:
  • Foot-Traffic Monitoring
  • Inventory Management
  • Loyalty Management and Payment
  • Predictive Equipment Maintenance
  • Brand Protection
  • Smart Fitting Rooms
By Retail Offering [$M shipment analysis for 2014 – 2025]:
  • Apparel and Accessories
  • Fast-moving Consumer Goods
  • Hardlines and Leisure Goods
  • Others
By Solution [$M shipment analysis for 2014 – 2025]:
  • Hardware
  • Software
By Region [$M shipment analysis for 2014 – 2025]:
  • North America
  • United States
  • Canada
  • Mexico
  • Europe
  • Germany
  • United Kingdom
  • France
  • Italy
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • The Rest of the World
Some of the smart retail companies profiled in this report include IBM, Intel Corporation, Cisco Systems, Samsung Electronics, Amazon, Google, Nvidia, NXP Semiconductors N.V., and Microsoft.
 
Lucintel forecasts that robotics will remain the largest system segment over the forecast period due to the growing use of robots in supermarkets, hypermarkets, and other retail stores to make shopping convenient for customers.
 
Foot-traffic monitoring will remain the largest application segment during the forecast period due to growing awareness of foot- traffic monitoring among retailers.
 
North America will remain the largest region during the forecast period due to increasing adoption of POS solutions, automatic storage and retrieval systems, smart carts, and self-checkout systems by supermarket, hypermarkets, and other retail stores.
 
 
Features of Smart Retail Market
 
  • Market Size Estimates: Smart retail market size estimation in terms of value ($M)
  • Trend and Forecast Analysis: Market trends (2014-2019) and forecast (2020-2025) by various segments and regions.
  • Segmentation Analysis: Market size by system, application, retail offering, and solution
  • Regional Analysis: Smart retail market breakdown by North America, Europe, Asia Pacific, and the Rest of the World.
  • Growth Opportunities: Analysis on growth opportunities in different system, application, retail offering, and solution, and regions for smart retail market.
  • Strategic Analysis: This includes M&A, new product development, and competitive landscape for the smart retail market.
  • Analysis of competitive intensity of the industry based on Porter’s Five Forces model.
 
 
 
This report answers following 11 key questions
 
Q.1 What are some of the most promising potential, high-growth opportunities for the global smart retail market by system (digital signage solutions, smart labels, smart payment systems, intelligent vending machines, augmented reality solutions, virtual reality solutions, POS solutions, smart carts, robotics, analytics), application (foot-traffic monitoring, inventory management, loyalty management and payment, predictive equipment maintenance, brand protection, and smart fitting rooms), retail offering (apparel and accessories, fast-moving consumer goods, hardlines and leisure goods, and others), solution (hardware and software), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
Q.2 Which segments will grow at a faster pace and why?
Q.3 Which regions will grow at a faster pace and why?
Q.4 What are the key factors affecting market dynamics? What are the drivers and challenges of the smart retail market?
Q.5 What are the business risks and threats to the smart retail market?
Q.6 What are emerging trends in this smart retail market and the reasons behind them?
Q.7 What are some changing demands of customers in the smart retail market?
Q.8 What are the new developments in the smart retail market? Which companies are leading these developments?
Q.9 Who are the major players in the smart retail market? What strategic initiatives are being implemented by key players for business growth?
Q.10 What are some of the competitive products and processes in the smart retail market, and how big of a threat do they pose for loss of market share via material or product substitution?
Q.11 What M&A activities did take place in the last five years in the smart retail market?
 
 

Table of Contents
 
1. Executive Summary
2. Market Background and Classifications
2.1: Introduction, Background, and Classifications
2.2: Supply Chain
2.3: Industry Drivers and Challenges
 
3. Market Trends and Forecast Analysis from 2014 to 2025
3.1: Macroeconomic Trends (2014-2019) and Forecast (2020-2025)
3.2: Global Smart Retail Market Trends (2014-2019) and Forecast (2020-2025)
3.3: Global Smart Retail Market by System
3.3.1: Digital Signage Solutions
3.3.2: Smart Labels
3.3.3: Smart Payment Systems
3.3.4: Intelligent Vending Machines
3.3.5: Augmented Reality Solutions
3.3.6: Virtual Reality Solutions
3.3.7: POS Solutions
3.3.8: Smart Carts
3.3.9: Robotics
3.3.10: Analytics 
3.4: Global Smart Retail Market by Application
3.4.1: Foot-Traffic Monitoring
3.4.2: Inventory Management
3.4.3: Loyalty Management and Payment
3.4.4: Predictive Equipment Maintenance
3.4.5: Brand Protection
3.4.6: Smart Fitting Rooms 
3.5: Global Smart Retail Market by Retail Offering
3.5.1: Apparel and Accessories
3.5.2: Fast-moving Consumer Goods
3.5.3: Hardlines and Leisure Goods
3.5.4: Others 
3.6: Global Smart Retail Market by Solution
3.6.1: Hardware
3.6.2: Software
 
4. Market Trends and Forecast Analysis by Region from 2014 to 2025
4.1: Global Smart Retail Market by Region
4.2: North American Smart Retail Market
4.2.1: Market by System
4.2.2: Market by Application
4.2.3: Market by Retail Offering
4.2.4: Market by Solution
4.2.5: The US Smart Retail Market
4.2.6: The Canadian Smart Retail Market
4.2.7: The Mexican Smart Retail Market
4.3: European Smart Retail Market
4.3.1: Market by System
4.3.2: Market by Application
4.3.3: Market by Retail Offering
4.3.4: Market by Solution
4.3.5: German Smart Retail Market
4.3.6: United Kingdom Smart Retail Market
4.3.7: French Smart Retail Market
4.3.8: Italian Smart Retail Market
4.4: APAC Smart Retail Market
4.4.1: Market by System
4.4.2: Market by Application
4.4.3: Market by Retail Offering
4.4.4: Market by Solution
4.4.5: Chinese Smart Retail Market
4.4.6: Japanese Smart Retail Market
4.4.7: Indian Smart Retail Market
4.4.8: South Korean Smart Retail Market
4.5: ROW Smart Retail Market
4.5.1: Market by System
4.5.2: Market by Application
4.5.3: Market by Retail Offering
4.5.4: Market by Solution
 
5. Competitor Analysis
5.1: Product Portfolio Analysis
5.2: Geographical Reach
5.3: Porter’s Five Forces Analysis
 
6. Growth Opportunities and Strategic Analysis
6.1: Growth Opportunity Analysis
6.1.1: Growth Opportunities for the Global Smart Retail Market by System
6.1.2: Growth Opportunities for the Global Smart Retail Market by Application
6.1.3: Growth Opportunities for the Global Smart Retail Market by Retail Offering
6.1.4: Growth Opportunities for the Global Smart Retail Market by Solution
6.1.5: Growth Opportunities for the Global Smart Retail Market by Region 
6.2: Emerging Trends in the Global Smart Retail Market
6.3: Strategic Analysis
6.3.1: New Product Development
6.3.2: Capacity Expansion of the Global Smart Retail Market
6.3.3: Technology Development
6.3.4: Mergers and Acquisitions in the Global Smart Retail Industry
 
7. Company Profiles of Leading Players
7.1: IBM
7.2: Intel Corporation
7.3: Cisco Systems
7.4: Samsung Electronics
7.5: Amazon
7.6: Google
7.7: Nvidia
7.8: NXP Semiconductors N.V.
7.9: Microsoft
 
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Full Report: Smart Retail Market: Trends, Forecast and Competitive Analysis Full Report $ 4,850
150 - page report
Lucintel has been in the business of market research and management consulting since 2000 and has published over 600 market intelligence reports in various markets / applications and served over 1,000 clients worldwide. This study is a culmination of four months of full-time effort performed by Lucintel's analyst team. The analysts used the following sources for the creation and completion of this valuable report:
 
In-depth interviews of the major players in this market
Detailed secondary research from competitors’ financial statements and published data 
Extensive searches of published works, market, and database information pertaining to industry news, company press releases, and customer intentions
A compilation of the experiences, judgments, and insights of Lucintel’s professionals, who have analyzed and tracked this market over the years.
 
Below is a brief summary of the primary interviews that were conducted by job function for this report.
 
 
Thus, Lucintel compiles vast amounts of data from numerous sources, validates the integrity of that data, and performs a comprehensive analysis. Lucintel then organizes the data, its findings, and insights into a concise report designed to support the strategic decision-making process. The figure below is a graphical representation of Lucintel’s research process.
 

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