Global Smart Shopping Carts
Market Report
2024
The global Smart Shopping Carts market was valued at USD 1.41 billion in 2022 and is projected to reach USD 9.77 billion by 2030, registering a CAGR of 27.31% for the forecast period 2023-2030
The base year for the calculation is 2023 and 2019 to 2023 will be historical period. The year 2024 will be estimated one while the forecasted data will be from year 2025 to 2031. When we deliver the report that time we updated report data till the purchase date.
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The global Smart Shopping Carts market was valued at USD 1.41 billion in 2022 and is projected to reach USD 9.77 billion by 2030, registering a CAGR of 27.31% for the forecast period 2023-2030
Base Year | 2023 |
Historical Data Time Period | 2019-2023 |
Forecast Period | 2024-2031 |
Global Smart Shopping Carts Market Sales Revenue 2022 | $ 1.41 Billion |
Global Smart Shopping Carts Market Sales Revenue 2030 | $ 9.77 Billion |
Global Smart Shopping Carts Market Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 27.31% |
Market Split by Technology |
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Market Split by Application |
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Market Split by Sales Channel |
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Market Split by Product Type | |
List of Competitors |
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Regional Analysis |
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Country Analysis |
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Key Qualitative Information Covered |
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Smart Shopping Carts Market is Segmented as below. Particular segment of your interest can be provided without any additional cost. Download the Sample Pages!
A smart shopping cart is a technologically advanced version of the traditional shopping cart used in retail stores. It incorporates various technologies such as sensors, cameras, RFID (Radio Frequency Identification), IoT (Internet of Things), and artificial intelligence to enhance the shopping experience for customers and provide benefits to both shoppers and retailers. Smart shopping cart features, automatic item scanning, real-time product information, navigation assistance, personalized recommendations, virtual shopping lists, checkout and payment, promotions and offers, customer insights for retailers, contactless shopping, and many other features that led to an increase in the adoption of smart shopping carts across the world.
During the peak shopping season, supermarkets face long queues. These long queues cost both shoppers and mall attendants. Nowadays, consumers become accustomed to seamless digital experiences in various aspects of their lives, and their expectations for similar experiences in physical retail environments also increase. Smart shopping carts meet these expectations by offering a blend of digital and physical interactions. Smart shopping carts are designed to make shopping more efficient and convenient for customers. These carts are comprised of cutting-edge technologies such as the Internet of Things, Radio Frequency Identification (RFID) sensors, Arduino microcontrollers, Bluetooth modules, and artificial intelligence. They can provide real-time navigation assistance to locate items within the store, offer digital shopping lists, and even suggest relevant products based on purchase history or preferences. This eliminates the need for customers to wait in long lines at traditional checkout counters, leading to a faster and smoother shopping experience. Furthermore, implementing innovative technology like smart shopping carts can set retailers apart from their competitors, attracting tech-savvy customers who value modern shopping experiences is another major factor driving the adoption of smart shopping carts.
Moreover, increasing partnerships of retailers with technology providers and start-ups to introduce smart shopping cart solutions into their stores. Such partnerships can drive market growth by combining the expertise of both industries. For instance, in January 2021, Caper partnered with Kroger to introduce a smart shopping cart offering for Kroger customers. This partnership extends its reach in the autonomous checkout space and expands in-store digital solutions.
The cost of a smart shopping cart is higher than ordinary shopping cart costs which may prevent some retailers from investing in the technology. These carts contain costs of both hardware costs and software costs which makes it expensive than ordinary shopping carts. This may hamper the growth of the global smart shopping carts market. However, this technical product has various advantages such as this can replace the cashier’s work, helping to increase per-customer transactions, and improving the overall customer shopping experience which led to increased market growth.
The sudden outbreak of the COVID-19 pandemic slowed down the adoption of smart shopping carts due to shifting priorities, safety concerns, and financial challenges. The pandemic has forced people to limit their physical interactions, which has led to accelerating the demand for contactless shopping experiences. Consumers became more cautious about touching surfaces, and smart shopping carts offered a way to scan items and make payments without needing to interact with store employees or traditional checkout systems. Smart shopping carts offer a way for customers to shop without physically interacting with store staff or surfaces, reducing the risk of transmission. Additionally, the heightened focus on hygiene and safety prompted smart cart manufacturers to innovate. Some companies started integrating features such as UV-C light disinfection systems or antimicrobial materials into their carts to reduce the risk of virus transmission through cart handles and surfaces. Thus, these technological innovations by manufacturers further expanded the growth of the market.
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The key market players included in the report are AiFi Inc., Caper Inc., Cart Technologies LLC, Cust2mate Ltd., Focal Systems Inc., Fujitsu Limited, Grabango Co, IMAGR Limited, International Business Machines Corporation, Microsoft Corporation, Retail AI Inc., SAP SE, SK Telecom Co. Ltd, Standard Cognition Corp., Tracxpoint Inc, V-Mark Enterprise Limited, Veeve Inc, Walmart Inc, Wanzl India Pvt Ltd., ZooZ by PayU Company and others. Major players are mainly focusing on launching and developing new products. In addition, companies are striving to come up with new strategies such as joint ventures, mergers and acquisitions, and joint ventures to expand their footprints across the globe.
Top Companies Market Share in Smart Shopping Carts Industry: (In no particular order of Rank)
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North America accounted for the largest share of the smart shopping cart market in the year 2022. This largest share is attributed to the increasing adoption of advanced technologies, the presence of a large number of players, and a strong retail sector with tech-savvy consumers. The demand for sensor-based technology in shopping trolleys is increasing because it provides real-time navigation assistance to locate items within the store, offer digital shopping lists, and even suggest relevant products based on purchase history or preferences. Additionally, this sensor-based technology eliminates the need for customers to wait in long lines at traditional checkout counters, leading to a faster and smoother shopping experience. Moreover, increasing collaborations and partnerships between retailers and technology providers further supporting the growth of the market in the region.
The current report Scope analyzes Smart Shopping Carts Market on 5 major region Split (In case you wish to acquire a specific region edition (more granular data) or any country Edition data then please write us on info@cognitivemarketresearch.com
The above graph is for illustrative purposes only. To learn more about geographical trends request the free sample pages. Contact US!
Global Smart Shopping Carts Market Report 2024 Edition talks about crucial market insights with the help of segments and sub-segments analysis. In this section, we reveal an in-depth analysis of the key factors influencing Smart Shopping Carts Industry growth. Smart Shopping Carts market has been segmented with the help of its Technology, Application Sales Channel, and others. Smart Shopping Carts market analysis helps to understand key industry segments, and their global, regional, and country-level insights. Furthermore, this analysis also provides information pertaining to segments that are going to be most lucrative in the near future and their expected growth rate and future market opportunities. The report also provides detailed insights into factors responsible for the positive or negative growth of each industry segment.
Based on the technology, Radio Frequency Identification (RFID) was dominating the segment in the year 2022. This was due to factors such as allowing the smart shopping cart to automatically update the inventory as items are added or removed. This real-time tracking helps retailers maintain accurate stock levels and reduces the likelihood of out-of-stock situations. This technology also enables the fast and contactless scanning of items making shopping more efficient and convenient for customers.
The above Chart is for representative purposes and does not depict actual sale statistics. Access/Request the quantitative data to understand the trends and dominating segment of Smart Shopping Carts Industry. Request a Free Sample PDF!
The shopping Malls segment held the major share of the smart shopping carts market in the year 2022. This is due to the increasing usage of shopping carts in shopping malls which enhances the overall shopping experience for both customers and retailers. These smart technology-based shopping carts provide personalized shopping experiences, streamline checkout processes, and enhance customer engagement. Therefore, the demand for smart carts from shopping malls is increasing.
The above Graph is for representation purposes only. This chart does not depict actual Market share. Please purchase the Smart Shopping Carts market report 2024 Edition by contacting our team.
Research Analyst at Cognitive Market Research
I am a research analyst working in various domains including the Consumer Goods domain, and my primary responsibility is to conduct thorough research on various subjects and provide valuable insights to support client requirements. I have knowledge of research methodologies, and data mining which enables me to analyze large data sets, draw meaningful conclusions, and communicate them effectively. I stay up-to-date with the latest research trends, methodologies, and technologies to ensure that my research is accurate, relevant, and impactful.
I am a research analyst working in various domains including the Consumer Goods domain, and my primary responsibility is to conduct thorough research on various subjects and provide valuable insights to support client requirements. I have knowledge of research methodologies, and data mining which enables me to analyze large data sets, draw meaningful conclusions, and communicate them effectively. I stay up-to-date with the latest research trends, methodologies, and technologies to ensure that my research is accurate, relevant, and impactful.
I am committed to continuous learning and staying abreast of emerging trends in research methodologies. Regular participation in workshops, webinars, and industry conferences ensures that my skills remain sharp and relevant. I spearheaded research initiatives focused on market trends, customer behavior, and competitive landscapes. I have a demonstrated ability to transform complex data sets into clear and concise narratives that inform key business strategies. Collaborating with cross-functional teams, I played a pivotal role in shaping successful projects that hinged on robust research and analysis.
Our study will explain complete manufacturing process along with major raw materials required to manufacture end-product. This report helps to make effective decisions determining product position and will assist you to understand opportunities and threats around the globe.
The Global Smart Shopping Carts Market is witnessing significant growth in the near future.
In 2023, the Barcodes segment accounted for noticeable share of global Smart Shopping Carts Market and is projected to experience significant growth in the near future.
The Supermarket segment is expected to expand at the significant CAGR retaining position throughout the forecast period.
Some of the key companies AiFi Inc, Cart Technologies LLC and others are focusing on its strategy building model to strengthen its product portfolio and expand its business in the global market.
Disclaimer:
Technology | Barcodes, Radio-Frequency Identification (RFID), Zigbee |
Application | Supermarket, Shopping Malls, Others |
Sales Channel | Direct, Distributor |
Product Type | |
List of Competitors | AiFi Inc, Caper Inc, Cart Technologies LLC, Cust2mate Ltd., Focal Systems Inc, Fujitsu Limited, Grabango Co, IMAGR Limited, International Business Machines Corporation, Microsoft Corporation, Retail AI Inc., SAP SE, SK Telecom Co. Ltd, Standard Cognition Corp., Tracxpoint Inc, V-Mark Enterprise Limited, Veeve Inc, Walmart Inc, Wanzl India Pvt Ltd., ZooZ by PayU Company |
This chapter will help you gain GLOBAL Market Analysis of Smart Shopping Carts. Further deep in this chapter, you will be able to review Global Smart Shopping Carts Market Split by various segments and Geographical Split.
Chapter 1 Global Market Analysis
Global Market has been segmented on the basis 5 major regions such as North America, Europe, Asia-Pacific, Middle East & Africa, and Latin America.
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Global Market Dynamics, Trends, Drivers, Restraints, Opportunities, Only Pointers will be deliverable
Chapter 2 North America Market Analysis
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Qualitative Analysis for the North America Market: North America Smart Shopping Carts Market Trends North America Smart Shopping Carts Technological Road Map North America Smart Shopping Carts Market Drivers North America Smart Shopping Carts Market Restraints North America Smart Shopping Carts Market Opportunity Market Attractiveness Analysis COVID – 19 Impact Analysis PESTEL Analysis Porter’s Five Forces Analysis Product Life Cycle Industrial Chain Analysis
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Chapter 3 Europe Market Analysis
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Chapter 4 Asia-Pacific Market Analysis
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Chapter 5 South America Market Analysis
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Chapter 6 Middle East and Africa Market Analysis
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Only Available with Corporate User License
Chapter 7 Top 10 Countries Analysis
Competitor's Market Share and Revenue (Subject to Data Availability for Private Players)
Chapter 8 Competitor Analysis (Subject to Data Availability (Private Players))
(Subject to Data Availability (Private Players))
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Chapter 9 Qualitative Analysis (Subject to Data Availability)
Segmentation Technology Analysis 2019 -2031, will provide market size split by Technology. This Information is provided at Global Level, Regional Level and Top Countries Level The report with the segmentation perspective mentioned under this chapters will be delivered to you On Demand. So please let us know if you would like to receive this additional data as well. No additional cost will be applicable for the same.
Chapter 10 Market Split by Technology Analysis 2019 -2031
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Chapter 11 Market Split by Application Analysis 2019 -2031
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Chapter 12 Market Split by Sales Channel Analysis 2019 -2031
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Chapter 13 Market Split by Product Type Analysis 2019 -2031
This chapter helps you understand the Key Takeaways and Analyst Point of View of the global Smart Shopping Carts market
Chapter 14 Research Findings
Here the analyst will summarize the content of entire report and will share his view point on the current industry scenario and how the market is expected to perform in the near future. The points shared by the analyst are based on his/her detailed in-depth understanding of the market during the course of this report study. You will be provided exclusive rights to interact with the concerned analyst for unlimited time pre purchase as well as post purchase of the report.
Why Barcodes have a significant impact on Smart Shopping Carts market? |
What are the key factors affecting the Barcodes and Radio-Frequency Identification (RFID) of Smart Shopping Carts Market? |
What is the CAGR/Growth Rate of Supermarket during the forecast period? |
By type, which segment accounted for largest share of the global Smart Shopping Carts Market? |
Which region is expected to dominate the global Smart Shopping Carts Market within the forecast period? |
Segmentation Level Customization |
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Region level Data Customization |
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Country level Data Customization |
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Company Level |
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Additional Data Analysis |
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Additional Qualitative Data |
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Additional Quantitative Data |
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Service Level Customization |
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