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Autonomous Mobile Robots Market size was valued at USD 2.7 billion in 2023 and is estimated to register a CAGR of over 15% between 2024 and 2032. Retailer and manufacturers are inclined towards the adoption of cutting-edge transport robots that seamlessly collaborate with operations and boast the ability to transport multiple loads simultaneously ensuring optimal performance and efficiency.
Thus, noticeable increase in the demand for autonomous mobile robots from retailers and manufacturers in order to automate the sorting and transportation process and parallelly attain high operational efficiency is a major factor expected to drive the growth of the global autonomous mobile robots’ market.
Also, AMR manufacturers are focusing on the introduction of new smart robots with high payload capacity, increased speed, and accuracy. This approach is expected to attract customers from various end-use industries such as 3PL and logistics, manufacturing e-commerce, and retail, which, in turn, is expected to support the growth of the target market. For instance, in February 2024, Omron Corporation, an electrical equipment manufacturer, announced the launch of the MD Series of autonomous mobile robots (AMR). This newly launched series is focused on providing greater efficiency at production sites.
Report Attribute | Details |
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Base Year: | 2023 |
Autonomous Mobile Robots Market Size in 2023: | USD 2.7 Billion |
Forecast Period: | 2024 - 2032 |
Forecast Period 2024 - 2032 CAGR: | 15% |
2032 Value Projection: | USD 9 Billion |
Historical Data for: | 2021 - 2023 |
No. of Pages: | 200 |
Tables, Charts & Figures: | 314 |
Segments covered: | Component, Type, Payload Capacity, Navigation Technology, Battery Type, Application, End use, and Region |
Growth Drivers: |
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Pitfalls & Challenges: |
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High cost associated with the product is a major factor that limits the adoption of autonomous mobile robot among end users. Likewise, end users are highly inclined towards the deployment of autonomous mobile robots in order to meet the growing demand of modern logistics and attain a competitive edge. Integration of new technology within complex and dynamic warehouse environments creates many challenges. Thus, swift integration, false positive, data processing are some other challenges faced by end users which limit the adoption of autonomous mobile robots.