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시장보고서
상품코드
1603252
자율 이동 로봇 시장 규모, 점유율, 성장 분석 : 구성요소별, 유형별, 배터리 유형별, 용도별, 적재량별, 내비게이션 기술별, 최종사용자별, 지역별 - 산업 예측(2024-2031년)Autonomous Mobile Robot Market Size, Share, Growth Analysis, By Component, By Type, By Battery Type, By, Application, By Payload Capacity, By Navigation Technology, By End User and By Region - Industry Forecast 2024-2031 |
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자율 이동 로봇 세계 시장 규모는 2022년 25억 6,000만 달러로 평가되며, 2023년 31억 6,000만 달러에서 2031년 173억 3,000만 달러로 성장할 것으로 예상되며, 예측 기간(2024-2031년) 동안 23.7%의 CAGR을 기록할 것으로 예상됩니다.
자율 이동 로봇(AMR)은 사람의 손을 거치지 않고 제품 감지, 운반, 분류를 자동화함으로써 제조 및 물류센터 업무에 혁명을 일으키고 있습니다. 온보드 센서, 비전 카메라, 첨단 시설 맵을 탑재한 로봇은 창고 실행 소프트웨어(WES)를 통해 원자재 및 완제품 이동과 같은 작업을 효율적으로 관리합니다. 이 기술은 물류와 관련된 위험을 줄일 뿐만 아니라 협업을 통해 직원의 생산성을 높이고 보다 합리적인 작업 환경을 조성할 수 있습니다. AMR은 센서와 알고리즘을 사용하여 역동적인 주변 환경을 능숙하게 탐색할 수 있지만, 센서와 알고리즘을 사용하여 감각 데이터를 해석하는 데 있어서는 의사결정 능력에 한계가 있습니다. 의사결정 능력에 한계가 있습니다. 인공지능(AI)의 통합은 지능형 운송 로봇 개발의 중요한 진전이며, AI를 통합함으로써 이동 로봇은 생산성을 크게 향상시키고 다양한 운영 환경에 원활하게 적응할 수 있습니다. AI로 강화된 이 로봇은 3D 카메라, 레이저 스캐너, 가속도계, 자이로스코프, 휠 인코더 등 일련의 첨단 센서를 활용해 환경을 모니터링하고 제어하며 복잡한 상황에서도 정보에 입각한 판단을 내릴 수 있습니다. 이러한 자동화와 인텔리전스의 결합은 보다 효율적이고 적응력 있는 물류 솔루션으로의 매우 중요한 전환을 의미하며, AMR을 제조 및 유통 물류의 향후 전망에 있어 필수적인 구성요소로 자리매김하고 있습니다.
Global Autonomous Mobile Robot Market size was valued at USD 2.56 Billion in 2022 and is poised to grow from USD 3.16 Billion in 2023 to USD 17.33 Billion by 2031, growing at a CAGR of 23.7% in the forecast period (2024-2031).
Autonomous mobile robots (AMRs) are revolutionizing operations in manufacturing and distribution centers by automating the detection, transportation, and sorting of products without the need for manual intervention. Equipped with onboard sensors, vision cameras, and sophisticated facility maps, these robots utilize Warehouse Execution Software (WES) to efficiently manage tasks such as moving raw materials and finished goods. This technology not only reduces risks associated with logistics but also enhances employee productivity through collaboration, creating a more streamlined work environment. While AMRs can adeptly navigate dynamic surroundings using sensors and algorithms, their decision-making capabilities remain limited when it comes to interpreting sensory data. The integration of artificial intelligence (AI) represents a critical advancement in the development of intelligent transport robots. By incorporating AI, mobile robots can significantly boost productivity, adapting seamlessly to various operational settings. Enhanced with AI, these robots leverage a suite of advanced sensors-including 3D cameras, laser scanners, accelerometers, gyroscopes, and wheel encoders-to monitor and control their environment, allowing them to make informed decisions even in complex situations. This confluence of automation and intelligence marks a pivotal shift towards more efficient and adaptive logistics solutions, positioning AMRs as an essential component in the future landscape of manufacturing and distribution logistics.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Autonomous Mobile Robot market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Autonomous Mobile Robot Market Segmental Analysis
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.
Driver of the Global Autonomous Mobile Robot Market
The global autonomous mobile robot market is significantly driven by the rapid expansion of the e-commerce sector. As e-commerce continues to flourish, warehouse and distribution center operators are increasingly transitioning from manual operations to automated systems to adapt to evolving consumer purchasing behaviors. A prime example is Walmart Inc., which began deploying bot-operated automated warehouses across several stores in early 2021 to enhance operational efficiency and expedite fulfillment processes for customers. Similarly, Sam's Club introduced a Gray Orange autonomous mobile robot in its Southern California facility to streamline e-commerce order fulfillment, projecting a substantial rise in sales from $277 million to $363 million within a year, indicating robust market potential.
Restraints in the Global Autonomous Mobile Robot Market
Restraints in the Global Autonomous Mobile Robot market stem primarily from the substantial initial investments required to enhance automated retail and distribution facilities for optimal productivity and efficiency. This financial barrier poses significant challenges for small and medium-sized enterprises (SMEs), which often struggle with low productivity, insufficient returns on investment, and prolonged paths to profitability. Additionally, the high expenses linked to acquiring, integrating, configuring, and maintaining robotic systems further impede market growth. Suppliers face difficulties customizing robots to seamlessly fit existing operations, leading to potential disruptions in inventory management and overall operational efficiency, thereby limiting the market's expansion potential.
Market Trends of the Global Autonomous Mobile Robot Market
The Global Autonomous Mobile Robot (AMR) market is experiencing accelerated growth driven by advanced technologies in smart logistics and warehouse automation, fundamentally transforming the supply chain ecosystem. This shift enables participants to implement flexible and efficient solutions tailored to the dynamic demands of operations within warehouses and distribution centers. Innovations such as UPS Supply Chain Solutions' introduction of AMRs for streamlined order fulfillment exemplify this trend, showcasing the integration of highly sensitive video sensors and sophisticated navigation systems. As companies embrace these technologies, the market is poised for significant expansion, fueled by the increasing demand for enhanced operational efficiencies and supply chain optimization.