USD 2.56 Billion
Report ID:
SQMIG45A2375 |
Region:
Global |
Published Date: November, 2024
Pages:
201
|Tables:
91
|Figures:
70
Autonomous Mobile Robot Market size was valued at USD 3.16 Billion in 2023 and is poised to grow from USD 3.91 Billion in 2024 to USD 21.44 Billion by 2032, growing at a CAGR of 23.7% during the forecast period (2025-2032).
Autonomous mobile robots (AMRs) can detect, transport and sort products in manufacturing and distribution centers without manual intervention. AMRs use onboard sensors, vision cameras, and facility maps in conjunction with Warehouse Execution Software (WES) to accomplish a variety of tasks, including the movement of raw materials and manufactured goods within the facility Reversible It is believed to provide greater risk and logistics and empower employees by working together to create a more productive work environment.
Robots use sensors and algorithms to navigate dynamic environments but cannot make detailed decisions with sensory input. Artificial intelligence is the next step in developing AMRs for intelligent transport robots. Adding AI technology to mobile robots improves productivity. Versatile and easily adaptable to the work environment. AI enables mobile robots equipped with sensors and software to control and monitor objects. The robots can collect data from 3D cameras, laser scanners, accelerometers, gyroscopes and wheel encoders to make better decisions in difficult situations.
Global Market Size
USD 2.56 Billion
Largest Segment
Goods-to-Person Picking
Fastest Growth
Self-Driving Forklift
Growth Rate
23.7% CAGR
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Global Autonomous Mobile Robot Market is segmented by Component, Type, Battery Type, Application, Payload Capacity, Navigation Technology, End User and region. Based on component, the market is segmented into software, service, and hardware. Based on Type, the market is segmented into Unmanned Ground Vehicle, Humanoid, Unmanned Aerial Vehicle, and Unmanned Marine Vehicles. Based on Battery Type, the market is segmented into Lead Battery, Lithium-Ion Battery, Nickel-based Battery, Others. Based on application, the market is segmented into Sorting, Transportation, Assembly, Inventory Management, Others. Based on Payload Capacity, the market is segmented into Below 100 kg, 100 kg - 500 kg, More than 500 kg. Based on Navigation Technology, the market is segmented into Laser/LiDAR, Vision Guidance, Others. Based on end user, the market is segmented into Manufacturing (Automotive, Aerospace, Electronics, Chemical, Pharmaceuticals, Plastics, Defense, FMCG, Others), Wholesale & Distribution (E-commerce, Retail Chains/Conveyance Stores, Others). Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & and Africa.
Analysis by Type
The goods-to-person picking robots segment led the market and accounted for more than 48% of the global revenue by 2022. Products can attribute this high share to the continuous use of autonomous robots for this purpose manual selection of paper-based materials. Human pickup robots can be programmed to move carts and use convenient routes to move materials between personnel stations. Many roboticums including Bleum, Greyorrange. Robotics and more will offer autonomous mobile motion picking systems that can be used at another language level, for example, the folk robotic system of the robot. Transfer", travel time, extra time, can increase productivity by 3-5 times by reducing labor costs such as training costs.
The self-driving forklift segment is expected to show a remarkable change in demand over the forecast period. Self-propelled forklifts are ideal for repetitive loading that typically involves long distances. Linde Material Handling, a German-based manufacturer of forklift trucks and warehouse equipment, offers automated forklifts equipped with front & rear scanners, navigation lasers, acoustic and visual warning signs, and 3D camera vision.
Analysis by End-Use
Aerospace and Defense segments are expected to witness significant growth during the forecast period. The manufacturing operations associated with the aerospace and defense industry verticals are large because they must handle large components such as nacelles, fuselage, wings, and engine pods but access to these parts is in the manufacturing industry in is quite narrow. To avoid any possible accidents and disasters caused by human error while transporting heavy loads in narrow passages, aerospace & defense companies are aggressively implementing autonomous robotic carriers move heavy materials into the plant along predetermined routes or dynamic routes.
By 2022, the manufacturing sector will lead the market, accounting for more than 75% of global revenues. This high share can be attributed to the continuous automation of manufacturing processes worldwide. The segment is further segmented into automotive, aerospace, electronics, pharmaceuticals, pharmaceuticals, plastics, defense, FMCG, and others. The automotive segment also gained significant market share owing to the rapid adoption of AMR for various industries, such as assembly, painting, sealing, coatings, mechanical inspection & part installation, and material removal, as well in-house logistics of car manufacturing.
For example, in August 2022, Israeli manufacturer of AI-enabled control towers MAESTRO signed an agreement with auto parts manufacturer Musashi Seimitsu for the installation of a mobile robot (AMR) 200 by MAESTRO will be installed. Musashi Seimitsu has 35 manufacturing facilities worldwide. MAESTRO-powered AMRs from the 634AI.
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North America is likely to grow rapidly due to the rising e-commerce sales witnessed in this region. Additionally, the rapid adoption of technology, the presence of leading manufacturers in this sector, and substantial investments from regulatory agencies to build automated warehouses and distribution centers are providing market growth has further increased.
Asia-Pacific is expected to grow significantly in the coming years. Especially due to empowered and unpowered regional players using marketing strategies to expand its territories thereby creating a potential impact on the global market. Moreover, the presence of major countries such as China, Japan, South Korea, India, and others, is focused on the integration of advanced technologies especially 5G connectivity, A-based route mapping and localization, and development another with potential impact on the market.
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Drivers
Growing E-commerce Industry to Work to Support Market Growth
Rise in Need to Meet Changing Demand
Restraints
High Setup Costs to Hinder Market Growth
High Investment Costs
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The competitive environment of the Global Autonomous Mobile Robot Market is dynamic and characterized by the presence of a mix of well-established brands, emerging players, and niche producers. Innovation is a key competitive factor. Established organizations within the industry leverage techniques inclusive of product innovation, strategic partnerships, and mergers and acquisitions to strengthen their market position. Additionally, the market is witnessing elevated opposition from local and neighborhood producers supplying cost-powerful options.
Top Player’s Company Profiles
Recent Developments
SkyQuest’s ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Correlates, and Analyses the Data collected by means of Primary Exploratory Research backed by robust Secondary Desk research.
The growing development of robotics, autonomous technology and IoT has created a favorable environment for the adoption of autonomous connected vehicles in various industries These autonomous vehicles are expected to change the technological landscape affecting technology depending on the continued adoption of utility vehicles and public transport. This increase in autonomous technology vehicles is expected to fuel further growth of the market in the future.
In addition to labor-related challenges, security is another important driver of the transition to using AMR for warehouse automation. For example, according to the Occupational Safety and Health Administration (OSHA) and the U.S. Department of Health and Human Services. According to the Department of Labor, more than 11% of forklifts typically used to haul and move pallets to warehouses are likely to be involved in accidents for assistance reduces reliance on forklifts and is expected to improve warehouse-related safety has been very effective. The upfront cost of AMR can be prohibitive, especially if it is evaluated on a short-term outcome basis. The AGV system is more expensive than hiring labor and uses additional equipment such as hand lifts. But AMR can achieve a positive return on investment (ROI) over the long term and increase both productivity and efficiency, resulting in financial returns.
Report Metric | Details |
---|---|
Market size value in 2022 | USD 2.56 Billion |
Market size value in 2031 | USD 17.33 Billion |
Growth Rate | 23.7% |
Base year | 2023 |
Forecast period | 2024-2031 |
Forecast Unit (Value) | USD Billion |
Segments covered |
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Regions covered | North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA) |
Companies covered |
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Customization scope | Free report customization with purchase. Customization includes:-
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Executive Summary
Market overview
Parent Market Analysis
Market overview
Market size
KEY MARKET INSIGHTS
COVID IMPACT
MARKET DYNAMICS & OUTLOOK
Market Size by Region
KEY COMPANY PROFILES
For the Autonomous Mobile Robot Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:
1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.
2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the Autonomous Mobile Robot Market.
3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.
4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.
Customization Options
With the given market data, our dedicated team of analysts can offer you the following customization options are available for the Autonomous Mobile Robot Market:
Product Analysis: Product matrix, which offers a detailed comparison of the product portfolio of companies.
Regional Analysis: Further analysis of the Autonomous Mobile Robot Market for additional countries.
Competitive Analysis: Detailed analysis and profiling of additional Market players & comparative analysis of competitive products.
Go to Market Strategy: Find the high-growth channels to invest your marketing efforts and increase your customer base.
Innovation Mapping: Identify racial solutions and innovation, connected to deep ecosystems of innovators, start-ups, academics, and strategic partners.
Category Intelligence: Customized intelligence that is relevant to their supply Markets will enable them to make smarter sourcing decisions and improve their category management.
Public Company Transcript Analysis: To improve the investment performance by generating new alpha and making better-informed decisions.
Social Media Listening: To analyze the conversations and trends happening not just around your brand, but around your industry as a whole, and use those insights to make better Marketing decisions.
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Report ID: SQMIG45A2375
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