세계의 스마트 리테일 시장 규모 조사 및 예측 : 솔루션별(하드웨어, 소프트웨어), 용도별(시각적 마케팅, 스마트 라벨, 스마트 결제 시스템, 지능형 시스템, 기타), 지역별 분석(2022-2029년)

Global Smart Retail Market is valued approximately USD XXX billion in 2021 and is anticipated to grow with a healthy growth rate of more than XX% over the forecast period 2022-2029. Smart retail refers to the use of advanced technologies, such as artificial intelligence (AI), machine learning, and the Internet of Things (IoT), to enhance the customer shopping experience, optimize inventory management, and streamline operational processes. Smart retail solutions typically leverage data analytics to gain insights into customer behavior, preferences, and buying patterns, which can be used to create personalized experiences and offer targeted promotions. The key factor driving the market growth is growing adoption of big data analytics, machine learning, blockchain, and artificial intelligence technologies by retailers, rising use of robots and automation to offer shopping convenience to customers, and changing customer expectations leading to increased use of smart technologies by retailers is anticipated to create the lucrative demand for the market during forecast period. However, one of the key trends fueling market growth is the growing adoption of technologies like artificial intelligence (AI), virtual reality (VR), augmented reality (AR), and the internet of things (IoT) to improve the shopping experience for consumers, enable accurate inventory management, and enhance store operations. Because technology enables brands to interact with customers via their mobile devices, augmented reality is particularly transforming the retail sector. Adopting augmented reality (AR) in marketing aids in fostering customer relationships, improving the customer experience, and ultimately boosting sales.

Moreover, the rising adoption of robots and automation in retail stores to offer convenience shopping experience to customers is anticipated to boost the market growth. In Jan. 2020, Bossa Nova Robotics, a company based in the Bay area, has announced the collaboration with Walmart Inc. to deliver shelf-scanning inventory robots to 1,000 Walmart shops across the US. Additionally, rising investment by the market players for the development of smart stores and growing adoption of connected devices is anticipated to create the lucrative opportunity for the market during forecast period. However, the rising maintenance costs of advanced high-end computing systems and high risks of customer data thefts stifles market growth throughout the forecast period of 2022-2029.

The key regions considered for the Global Smart Retail Market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America is the dominating region across the world in terms of market share, owing to the presence of key market players, growing adoption of connected devices and rising number of retail stores in the region. Whereas, Asia Pacific is also anticipated to exhibit highest growth rate over the forecast period, owing to factors such as increasing deployment of smart retail solutions such as big data analytics, reception robots, intelligent dressing mirrors, and shopping guide robots in countries such as China and Japan would create lucrative growth prospects for the Smart Retail market across Asia Pacific region.

Major market players included in this report are:

• Amazon.com, Inc.
• NCR Corporation
• PAX Global Technology Limited
• Ingenico, Fiserv, Inc.
• Google LLC
• Honeywell International Inc.
• Huawei Technologies Co., Ltd.
• LG Display Co., Ltd.
• Intel Corporation
• Samsung Electronics

Recent Developments in the Market:

• In January 2020, Intel Corporation collaborated with Sensormatic Solutions, a Johnson Controls division, to provide merchants scalable, AI-powered solutions. Sensormatic Solutions will also use the Intel Distribution of OpenVINO toolkits and Intel models when distributing its products to retailers.

Global Smart Retail Market Report Scope:

• Historical Data: 2019-2020-2021
• Base Year for Estimation: 2021
• Forecast period: 2022-2029
• Report Coverage: Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
• Segments Covered: Solution, Application, Region
• Regional Scope: North America; Europe; Asia Pacific; Latin America; Rest of the World
• Customization Scope: Free report customization (equivalent up to 8 analyst's working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below.

By Solution:

• Hardware
• Software

By Application:

• Visual Marketing
• Smart Label
• Smart Payment System
• Intelligent System
• Others

By Region:

• North America
• U.S.
• Canada
• Europe
• UK
• Germany
• France
• Spain
• Italy
• ROE
• Asia Pacific
• China
• India
• Japan
• Australia
• South Korea
• RoAPAC
• Latin America
• Brazil
• Mexico
• RoLA
• Rest of the World

Table of Contents

Chapter 1. Executive Summary

• 1.1. Market Snapshot
• 1.2. Global & Segmental Market Estimates & Forecasts, 2019-2029 (USD Billion)
  • 1.2.1. Smart Retail Market, by Region, 2019-2029 (USD Billion)
  • 1.2.2. Smart Retail Market, by Solution, 2019-2029 (USD Billion)
  • 1.2.3. Smart Retail Market, by Application, 2019-2029 (USD Billion)
• 1.3. Key Trends
• 1.4. Estimation Methodology
• 1.5. Research Assumption

Chapter 2. Global Smart Retail Market Definition and Scope

• 2.1. Objective of the Study
• 2.2. Market Definition & Scope
  • 2.2.1. Scope of the Study
  • 2.2.2. Industry Evolution
• 2.3. Years Considered for the Study
• 2.4. Currency Conversion Rates

Chapter 3. Global Smart Retail Market Dynamics

• 3.1. Smart Retail Market Impact Analysis (2019-2029)
  • 3.1.1. Market Drivers
    • 3.1.1.1. Growing adoption of big data analytics, machine learning, blockchain, and artificial intelligence technologies by retailers
    • 3.1.1.2. Rising use of robots and automation to offer shopping convenience to customers
    • 3.1.1.3. Changing customer expectations leading to increased use of smart technologies by retailers
  • 3.1.2. Market Challenges
    • 3.1.2.1. Rising maintenance costs of advanced high-end computing systems
    • 3.1.2.2. High risks of customer data thefts
  • 3.1.3. Market Opportunities
    • 3.1.3.1. Rising investment by the market players for the development of smart stores
    • 3.1.3.2. Growing adoption of connected devices

Chapter 4. Global Smart Retail Market Industry Analysis

• 4.1. Porter's 5 Force Model
  • 4.1.1. Bargaining Power of Suppliers
  • 4.1.2. Bargaining Power of Buyers
  • 4.1.3. Threat of New Entrants
  • 4.1.4. Threat of Substitutes
  • 4.1.5. Competitive Rivalry
• 4.2. Futuristic Approach to Porter's 5 Force Model (2019-2029)
• 4.3. PEST Analysis
  • 4.3.1. Political
  • 4.3.2. Economical
  • 4.3.3. Social
  • 4.3.4. Technological
• 4.4. Top investment opportunity
• 4.5. Top winning strategies
• 4.6. Industry Experts Prospective
• 4.7. Analyst Recommendation & Conclusion

Chapter 5. Risk Assessment: COVID-19 Impact

• 5.1. Assessment of the overall impact of COVID-19 on the industry
• 5.2. Pre COVID-19 and post COVID-19 Market scenario

Chapter 6. Global Smart Retail Market, by Solution

• 6.1. Market Snapshot
• 6.2. Global Smart Retail Market by Solution, Performance - Potential Analysis
• 6.3. Global Smart Retail Market Estimates & Forecasts by Solution 2019-2029 (USD Billion)
• 6.4. Smart Retail Market, Sub Segment Analysis
  • 6.4.1. Hardware
  • 6.4.2. Software

Chapter 7. Global Smart Retail Market, by Application

• 7.1. Market Snapshot
• 7.2. Global Smart Retail Market by Application, Performance - Potential Analysis
• 7.3. Global Smart Retail Market Estimates & Forecasts by Application 2019-2029 (USD Billion)
• 7.4. Smart Retail Market, Sub Segment Analysis
  • 7.4.1. Visual Marketing
  • 7.4.2. Smart Label
  • 7.4.3. Smart Payment System
  • 7.4.4. Intelligent System
  • 7.4.5. Others

Chapter 8. Global Smart Retail Market, Regional Analysis

• 8.1. Smart Retail Market, Regional Market Snapshot
• 8.2. North America Smart Retail Market
  • 8.2.1. U.S. Smart Retail Market
    • 8.2.1.1. Solution breakdown estimates & forecasts, 2019-2029
    • 8.2.1.2. Application breakdown estimates & forecasts, 2019-2029
  • 8.2.2. Canada Smart Retail Market
• 8.3. Europe Smart Retail Market Snapshot
  • 8.3.1. U.K. Smart Retail Market
  • 8.3.2. Germany Smart Retail Market
  • 8.3.3. France Smart Retail Market
  • 8.3.4. Spain Smart Retail Market
  • 8.3.5. Italy Smart Retail Market
  • 8.3.6. Rest of Europe Smart Retail Market
• 8.4. Asia-Pacific Smart Retail Market Snapshot
  • 8.4.1. China Smart Retail Market
  • 8.4.2. India Smart Retail Market
  • 8.4.3. Japan Smart Retail Market
  • 8.4.4. Australia Smart Retail Market
  • 8.4.5. South Korea Smart Retail Market
  • 8.4.6. Rest of Asia Pacific Smart Retail Market
• 8.5. Latin America Smart Retail Market Snapshot
  • 8.5.1. Brazil Smart Retail Market
  • 8.5.2. Mexico Smart Retail Market
  • 8.5.3. Rest of Latin America Smart Retail Market
• 8.6. Rest of The World Smart Retail Market

Chapter 9. Competitive Intelligence

• 9.1. Top Market Strategies
• 9.2. Company Profiles
  • 9.2.1. Amazon.com, Inc.
    • 9.2.1.1. Key Information
    • 9.2.1.2. Overview
    • 9.2.1.3. Financial (Subject to Data Availability)
    • 9.2.1.4. Product Summary
    • 9.2.1.5. Recent Developments
  • 9.2.2. NCR Corporation
  • 9.2.3. PAX Global Technology Limited
  • 9.2.4. Ingenico, Fiserv, Inc.
  • 9.2.5. Google LLC
  • 9.2.6. Honeywell International Inc.
  • 9.2.7. Huawei Technologies Co., Ltd.
  • 9.2.8. LG Display Co., Ltd.
  • 9.2.9. Intel Corporation
  • 9.2.10. Samsung Electronics

Chapter 10. Research Process

• 10.1. Research Process
  • 10.1.1. Data Mining
  • 10.1.2. Analysis
  • 10.1.3. Market Estimation
  • 10.1.4. Validation
  • 10.1.5. Publishing
• 10.2. Research Attributes
• 10.3. Research Assumption