Autonomous Mobile Robot Market Size, Share,Trends, Growth, Applications and Forecast 2024-2032


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Autonomous Mobile Robot Market By Type (Goods-to-Person Picking Robots, & Self-Driving Forklifts), Battery Type (Lead, & Lithium-ion) Application (Telematics, Navigation, and Infotainment), Components (Hardware, Software), End-User (Warehouse Logistics, E-commerce) & Region for 2024-2031

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Autonomous Mobile Robot Market Valuation – 2024-2031

The growing usage of robots in various industrial sectors, technological advancement, the expansion of applications for autonomous robots, and greater public awareness of the benefits of such robots are all driving the market. Due to their adaptability and simplicity of integration into existing infrastructures, Autonomous Mobile Robots are quickly emerging as a valuable asset for businesses engaged in manufacturing, warehousing, and logistics. One of the major elements that drive market growth is the excessive use of robots in various industrial sectors.  The market size surpasses USD 2.96 Billion valued in 2024 to reach a valuation of around USD 16.04 Billion by 2031.

Increased demand for automation in industries to enhance operational efficiency and productivity the focus on workplace safety and the need to reduce the risk of workplace accidents are the key market drivers enhancing the market growth. The rising demand for autonomous mobile robots is enabling the market grow at a CAGR of 23.5% from 2024 to 2031.

Autonomous Mobile Robot Market: Definition/ Overview

Autonomous mobile robots are machines that are programmed to accomplish specified jobs and behaviors. The robot’s primary function is to offer navigation, mapping, localization, and locomotion. Autonomous robots are widely employed in transportation, inspection, and surveillance applications. Robots are also utilized in military services, mining and metals, electronics and electrical industries, oil and gas, and automobiles. These robots are meant to do jobs without human aid while also adjusting and adapting to new duties without causing damage to property, people, or the environment.

Robots employ sensors and algorithms to navigate dynamic situations, but they cannot make advanced decisions based on sensory inputs. Artificial intelligence is the next step in the evolution of AMRs, making them intelligent mobile robots. Integrating AI technology into mobile robots increases their efficiency. Many duties can be completed and simply adapted to a work environment. AI enables mobile robots that use sensors and software for control and observation. The robots use data from 3D cameras, laser scanners, accelerometers, gyroscopes, and wheel encoders which make decisions in crucial situations.Robots can move quickly and use their awareness of their surroundings to avoid objects and people in their route. AMRs with AI capabilities include strategically placed cameras that serve as extended robot sensors. AMRs are given knowledge about a location before entering it and learn to adjust their behaviour accordingly. This means they conduct studies on certain activities and minimize impediments such as high-traffic areas at specific times, such as when supplies are frequently delivered and transferred by truck or when there is a lot of human interaction during breaks or shift changes.

Additionally, Autonomous Mobile Robots (AMRs) are used by healthcare providers for essential tasks such as telepresence, medication delivery, and disinfection. This allows staff to spend more time with patients and maintain a safe environment for all. Secured delivery of medications and laboratory specimens and all environmental services are all moved autonomously. Expanding the uses of autonomous robots and raising awareness of their benefits in emerging economies are propelling the Autonomous Mobile Robot growth during the forecast period

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Will Rapid Advancements in Robotics and Artificial Intelligence Drive the Autonomous Mobile Robot Market?

The developing environment of autonomous mobile robots (AMRs) in the domain of Facility Management Services is experiencing tremendous expansion, owing to rapid advances in robotics and artificial intelligence (AI). This technological advancement has prepared the way for the development of very sophisticated AMRs capable of autonomously completing complex tasks across a wide range of commercial sectors. These robots have improved perception and navigation abilities by utilizing advanced sensor technologies such as cameras, ultrasonic sensors, and LIDAR systems, allowing them to recognize obstacles, map environments, and make real-time judgments to avoid collisions with precision.

Companies such as Velodyne, which specializes in LIDAR sensors, have led the way in sensor technology improvements, improving AMR perception and navigation capabilities in facility management situations.

Furthermore, AI algorithms and machine learning techniques enable AMRs to learn from and adapt to their surroundings, and computer vision capabilities enable them to perceive and interpret objects, people, and gestures, allowing for more sophisticated interactions inside facility environments. Innovations like as Boston Dynamics’ “Spot” demonstrate the integration of powerful computer vision algorithms, allowing AMRs to perform inspection, surveillance, and data collection duties with greater efficiency.

Furthermore, the incorporation of intelligent navigation systems powered by AI algorithms allows AMRs to design optimal routes, avoid obstacles, and adapt to changing environments flawlessly. Cloud computing extends their capability by allowing for real-time data processing, analysis, and remote monitoring and control, which improves their performance in facility management settings. Companies such as Mobile Industrial Robots are at the forefront of providing collaborative AMRs with AI-based navigation algorithms designed to improve efficiency and safety in industrial and warehousing environments.

Will High Initial Investment Hamper the Autonomous Mobile Robot Market?

The adoption of Autonomous Mobile Robots (AMRs), and facility management services, the formidable obstacle of high initial investment presents a significant restraint. The integration of AMRs into facility management processes necessitates a significant upfront financial investment, which includes expenses for hardware purchases, infrastructure modifications, and software development.

Organizations embarking on AMR implementation programs must devote significant resources to procuring robotics, sensors, and supporting equipment, as well as facilitating infrastructure modifications such as navigation and charging stations. Furthermore, customizing software to smoothly connect AMRs with current enterprise systems, such as Warehouse Management Systems or ERP systems, increases the budgetary load.

Furthermore, enterprises must spend money for human training in order to effectively engage with AMRs, as well as manage ongoing operating costs such as maintenance, repairs, and upgrades. These cumulative expenditures considerably contribute to the substantial initial investment necessary for AMR adoption in the facility management sector. This price barrier is especially important for small and medium-sized businesses with limited budgets, since it poses hurdles to wider adoption, potentially inhibiting the realization of the efficiency and productivity benefits promised by AMR technology in facility management situations.

Category-Wise Acumens

Will the Manufacturers Sector Emerge the Dynamics of the Autonomous Mobile Robot Market?

In the autonomous mobile robot market in 2022, the manufacturing sector emerged as a dominant force in the global market landscape, commanding over 75% of worldwide revenue. This commanding presence can largely be attributed to the relentless march of process automation within the industry. Across diverse segments such as automotive, aircraft, electronics, chemicals, pharmaceuticals, plastics, defense, FMCG, and more, automation has become the linchpin of operational efficiency and competitive advantage.

Within this expansive manufacturing domain, the automotive segment stood out prominently, claiming a significant market share. This prominence can be attributed to the sector’s proactive embrace of Advanced Mobile Robots (AMRs) across various critical tasks. These tasks encompass a wide spectrum of activities ranging from assembly, painting, sealing, coating, machine tending, and part transfer to materials removal.

Furthermore, the integration of AMRs has revolutionized internal logistics within automotive manufacturing, seamlessly dovetailing with lean manufacturing practices. By deploying AMRs strategically, automotive manufacturers have not only optimized their production processes but also bolstered agility and responsiveness in a rapidly evolving market landscape. This concerted effort to leverage automation technologies underscores the automotive industry’s commitment to innovation and operational excellence, setting a benchmark for other manufacturing segments to emulate in the quest for sustained growth and competitiveness.

Will the Paper-Based and Manual Picking System Drive the Autonomous Mobile Robots Market?

In the autonomous mobile robots market, the goods-to-person picking robots segment led the market, accounting for more than 48% of global sales in 2022. This high percentage is due to the continuous deployment of autonomous robots to replace paper-based and manual picking systems. Goods-to-person picking robots can be trained to transport carts and follow variable paths between workers and stations. Several robotics companies, including Bleum, Grey Orange, and IAM Robotics, provide autonomous mobile robotic picking systems, which have the potential to significantly improve production and warehousing productivity. For example, Locus Robotics, a robotic process automation business, claims that its picking robots may boost productivity by 3-5 times by lowering labor costs such as “task interleaving,” travel time, overtime, and training.

The self-driving forklift industry is likely to see a significant shift in demand over the forecast period. Self-driving forklifts are useful for repetitive load-handling activities over vast distances. Linde Material Handling, a German-based manufacturer of forklift trucks and warehouse equipment, provides automated forklifts with front and rear scanners, navigation lasers, auditory and visual warning signs, and 3D camera vision.

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Country/Region-wise Acumens

Will the Rich History of Europe Propel the Autonomous Mobile Robot Market?

Europe currently leads the global market in autonomous mobile robots (AMRs) for several key reasons. Europe boasts a rich history as a manufacturing powerhouse. This well-established industrial base naturally gravitates towards automation solutions like AMRs to enhance efficiency in tasks such as material handling.

Numerous European governments actively promote research and development in robotics and automation. This proactive support fosters a conducive environment for the advancement and adoption of AMRs through funding and initiatives aimed at driving technological progress.

Currently Europe is facing the demographic challenges, including an aging population and labour shortages. In such a situation AMRs offer a solution by alleviating the strain on the workforce through the automation of repetitive tasks, thereby enabling human workers to focus on more intricate responsibilities.

The culture of Europe puts emphasis on Efficiency and Productivity. European industries prioritize efficiency and productivity optimization. AMRs align seamlessly with this objective by streamlining workflows and minimizing errors, ultimately leading to significant cost savings and enhanced operational performance.

These factors have contributed to the growth of local market for manufacturing of autonomous mobile robots and also expansion to other nations in need.

Will Asia Pacific Emerge the Autonomous Mobile Robot Market?

Asia-Pacific had the largest market share in 2022 and is predicted to experience the fastest growth. The booming e-commerce business in Asia-Pacific’s emerging nations promotes the use of autonomous mobile robots for inventory management. China has been a major user of industrial robots. Its innovative manufacturing facilities have received attention due to its abundant, low-cost labour and generally sufficient safety rules than North America or Europe. However, the country wants to expand its research capacities in robots, artificial intelligence (AI), and cloud data technologies as a result of different government initiatives such as “Made in China 2025”.

By focusing on these economic areas, China hopes to develop technologies that will contribute to a better manufacturing future. According to Japan’s “New Robot Strategy,” the country intends to become the world’s leading robot manufacturer. Robot development will primarily focus on the manufacturing, service, nursing and medical, infrastructure, disaster response, agriculture, and construction industries.

India, like China and Japan, is a potential market for robotics and automation. Though India lags far behind the rest of the globe, it is increasing its automation level. According to the International Federation of Robotics, or IFR, sales of industrial robots were

India achieved a new record in 2021, with 4,945 units deployed, up 54% from 3,215 in 2020. According to the IFR’s World Robotics report, India now ranks ninth internationally in terms of annual installations.

Competitive Landscape

The autonomous mobile robot market is a dynamic and competitive space, characterized by a diverse range of players vying for market share. These players are on the run for solidifying their presence through the adoption of strategic plans such as collaborations, mergers, acquisitions, and political support.

The organizations are focusing on innovating their product line to serve the vast population in diverse regions. Some of the prominent players operating in the market include:

  • ABB
  • Bleum
  • Boston Dynamics
  • Clearpath Robotics, Inc.
  • Grey Orange
  • Harvest Automation
  • IAM Robotics
  • inVia Robotics, Inc.
  • KUKA AG
  • Teradyne Inc.
  • Simcorp Automation
  • Locus Robotics
  • Aviation Industry Corporation of China,
  • Omron Adept
  • General Atomics Aeronautical Systems
  • SMP Robotics
  • Softbank Robotics
  • Hi-Tech Robotic Systemz
  • Aethon

Latest Developments

  • In May 2023, Mitsubishi Electric Corporation, a global leader in factory automation solutions, announced a strategic investment in Clearpath Robotics, the parent company of autonomous mobile robot leader OTTO Motors. The investment will likely expand the strategic relationship between OTTO Motors and Mitsubishi Electric and strengthen the two companies’ commercial collaboration.
  • In April 2023, Radial, Inc. announced a collaboration with Geek+ to provide automation and robotics for its new 601,045-square-foot fulfilment center in Indianapolis, Indiana. Radial will be able to support high-volume order fulfillment for a well-known clothing and apparel brand thanks to the new state-of-the-art facility at 8838 East County Road. Radial is expected to ensure seamless Commerce fulfillment operations while creating over 100 new jobs in the local community by deploying nearly 200 P800 autonomous mobile robots (AMR).

Report Scope

REPORT ATTRIBUTES DETAILS
Study Period

2021-2031

Growth Rate

CAGR of ~23.5% from 2024 to 2031

Base Year for Valuation

2024

Historical Period

2021-2023

Forecast Period

2024-2031

Quantitative Units

Value in USD Billion

Report Coverage

Historical and Forecast Revenue Forecast, Historical and Forecast Volume, Growth Factors, Trends, Key Players, Segmentation Analysis

Segments Covered
  • Product
  • Battery Type
  • Components
  • End User
Regions Covered
  • North America
  • Europe
  • Asia Pacific
  • Rest of the World
Key Players

ABB, Bleum, Boston Dynamics, Clearpath Robotics, Inc. , Grey Orange, Harvest Automation, IAM Robotics inVia Robotics, Inc. , KUKA AG, Teradyne Inc., Simcorp Automation, Locus Robotics, Aviation Industry Corporation of China, Omron Adept, General Atomics Aeronautical Systems, SMP Robotics, Softbank Robotics, Hi-Tech Robotic Systemz, Aethon, Others

Customization

Report customization along with purchase available upon request

Autonomous Mobile Robot Market, By Category

Product:

  • Goods-To-Person Picking Robots
  • Inventory Robots
  • Self-Driving Forklifts

Component:

  • Hardware
  • Software

Battery Type:

  • Lead
  • Lithium-ion (Li-ion)
  • Nickel-based

Application:

  • Telematics
  • Navigation
  • Infotainment

End-User:

  • Warehousing & Logistics
  • E-commerce & Retail
  • Manufacturing
  • Healthcare
  • Hospitality

Region:

  • North America
  • Europe
  • Asia-Pacific
  • Rest of the World

Research Methodology of Market Research

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Reasons to Purchase this Report

• Qualitative and quantitative analysis of the market based on segmentation involving both economic as well as non-economic factors• Provision of market value (USD Billion) data for each segment and sub-segment• Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market• Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region• Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions and acquisitions in the past five years of companies profiled• Extensive company profiles comprising of company overview, company insights, product benchmarking and SWOT analysis for the major market players• The current as well as the future market outlook of the industry with respect to recent developments (which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions• Includes an in-depth analysis of the market of various perspectives through Porter’s five forces analysis• Provides insight into the market through Value Chain• Market dynamics scenario, along with growth opportunities of the market in the years to come• 6-month post-sales analyst support

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Pivotal Questions Answered in the Study