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市場調査レポート
商品コード
1603252
自律移動ロボットの市場規模、シェア、成長分析、コンポーネント別、タイプ別、バッテリータイプ別、用途別、積載量別、ナビゲーション技術別、エンドユーザー別、地域別 - 産業予測、2024年~2031年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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自律移動ロボットの市場規模、シェア、成長分析、コンポーネント別、タイプ別、バッテリータイプ別、用途別、積載量別、ナビゲーション技術別、エンドユーザー別、地域別 - 産業予測、2024年~2031年 |
出版日: 2024年11月26日
発行: SkyQuest
ページ情報: 英文 201 Pages
納期: 3~5営業日
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自律移動ロボットの世界市場規模は2022年に25億6,000万米ドルと評価され、2023年の31億6,000万米ドルから2031年には173億3,000万米ドルに成長し、予測期間(2024-2031年)のCAGRは23.7%で成長する見通しです。
自律移動ロボット(AMR)は、人手を介さずに製品の検出、搬送、仕分けを自動化することで、製造業や物流センターの業務に革命をもたらしています。オンボードセンサー、ビジョンカメラ、高度な施設マップを装備したこれらのロボットは、倉庫実行ソフトウェア(WES)を利用して、原材料や完成品の移動などのタスクを効率的に管理します。このテクノロジーは、物流に関連するリスクを軽減するだけでなく、コラボレーションを通じて従業員の生産性を高め、より合理的な作業環境を実現します。AMRはセンサーとアルゴリズムを使ってダイナミックな周囲環境を巧みにナビゲートできるが、感覚データの解釈に関しては意思決定能力に限界があります。人工知能(AI)の統合は、インテリジェントな輸送ロボットの開発における重要な進歩です。AIを組み込むことで、移動ロボットは生産性を大幅に向上させ、さまざまな運用環境にシームレスに適応することができます。AIによって強化されたこれらのロボットは、3Dカメラ、レーザースキャナー、加速度計、ジャイロスコープ、ホイールエンコーダなど、一連の高度なセンサーを活用して環境を監視・制御し、複雑な状況でも情報に基づいた判断を下せるようになります。この自動化とインテリジェンスの融合は、より効率的で適応力のあるロジスティクス・ソリューションへの極めて重要なシフトを示し、AMRを製造・流通ロジスティクスの将来の展望における不可欠なコンポーネントとして位置づけています。
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.