Retail Industry Robots

Speeding up sales, cutting costs, and preparing for the future of retail—whether brick-and-mortar or online.

Overview

Retailers are increasingly seeking to improve operational efficiency through robots to carry out tasks such as micro-fulfillment operations, inventory management, cleaning, and customer assistance. Pressure to enter the e-commerce market, optimize efficiency, and increase sales drives demand for retail robots. Advancement in sensor technology and retail availability of advanced chips facilitates adoption of these technologies. 

Industry Updates

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Market Sizing

The US Retail Industry Robots market could reach USD 4.8 billion–6.3 billion by 2028

Conservative case

USD 0.0 Bn

Base case

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Expansion case

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Use cases


Robotics technologies have been adopted across various industries in the retail sector, mainly within Consumer staples and Consumer discretionary segments. Micro-fulfillment solutions, inventory management robots, floor-cleaning robots, and customer analytics solutions are popular among grocery and supermarket retailers, clothing and textile retailers, and consumer electronics retailers. 

Retailers use automated order fulfillment to increase order accuracy and enhance on-time deliveries, leveraging IoT and sensor vision-powered solutions to gather customer and store insights. They’re also employing computer vision and RFID technologies for inventory management, reducing stockouts, and preventing inventory losses. Autonomous floor-cleaning robots are also freeing up staff time and cutting cleaning costs. Additionally, robotic solutions are being deployed for customer assistance, handling tasks like answering queries and carrying baggage. 

We have identified the key retail industry robot use cases below:

Market Mapping


The majority of incumbents and disruptors in the retail robotics space provide offerings in inventory management and in customer assistance and analytics. The micro-fulfillment segment is witnessing increased interest with several companies entering the market through partnerships with retailers such as Walmart and Ahold Delhaize. Incumbents are likely to gain access to technology through acquisition and partnerships as well as development of in-house technology. The majority of disruptors develop proprietary technology in-house.

The Disruptors


The micro-fulfillment centers segment is the highest-funded segment in the industry, despite a limited number of disruptors operating in this segment. Micro-fulfillment disruptors such as Exotec Solutions and Fabric have secured the majority of funding in this segment and are the largest-funded disruptors in the industry. Several disruptors operating within inventory management, floor cleaning, and customer assistance and analytics operate across multiple segments, including companies such as MetraLabs, Techmetics Robotics, and Keonn Technologies technologies. 

Inventory management is the second highest-funded segment, with Telexistence being the highest-funded inventory management disruptor. Even though the floor cleaning segment has a low number of disruptors, it has managed to secure a significant amount of funding, with Brain Corp being the largest-funded company in the segment. The customer assistance and analytics segment is the least funded in this industry.

Funding History

Competitive Analysis


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Product Overview
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Product Metrics
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Incumbents


Most incumbents already operate as business-to-business robotic providers with acquisitions and partnerships used as the most common market entry strategies Most retail robotics industry incumbents develop technology in-house or partner with companies that provide related services to obtain and co-develop their technology. Most of these companies already operate as established robotic suppliers focusing on the business-to-business (B2B) market. There are also some retailers—such as Amazon and Ocado—who have developed their own technology, especially in the micro-fulfillment area, while also selling their technology to other retailers. Several incumbents such as FANUC Corporation and Vargo that were already developing robots in related areas such as warehouse robots have recognized the opportunity and entered the micro-fulfillment space.

In House Development
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Investment
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Notable Investors


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Overview

Robotics optimize order fulfillment, inventory management, and cleaning 

Retailers are increasingly seeking to improve operational efficiency through robots to carry out tasks such as online order fulfillment operations, inventory management, cleaning, and customer assistance. Pressure to enter the e-commerce market, optimize efficiency, and increase sales, drives demand for retail robots. Advancement in sensor technology and retail availability of advanced chips facilitates adoption of these technologies.
Autonomous and semi-autonomous robotics are used in the retail industry for automated micro-fulfillment operations, inventory management, cleaning, and customer assistance, among other applications. Industry players are focused largely on improving operational efficiency and, to a lesser extent, on improving customer experience. The industry has both fully fledged operators specializing in hardware and system, as well as pure play, specialized autonomous system providers. 

Robot usage landscape in retail industries

The new generation of retail robots expands upon the routine industrial task capabilities of previous technologies, implementing smart sensors, cloud-based data processing, and artificial intelligence (AI)-driven decision making for navigation, pickup, and customer interaction. Continuous data aggregation on operational environments and consumer behavior improves decision making practices across the supply chain.

Advancement in sensor technology and retail availability of AI chips enables vast deployment of retail robots

Autonomous retail robots rely on several types of sensor technologies such as LiDAR, odometry, and 3D-sensing RGB cameras. Improvements in sensor technology and its gains in scale economies over the past decade have lowered its costs drastically. For example, the cost of LiDAR fell as low as USD 100 in 2020 from USD 80,000 in 2007.
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