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市場調査レポート
商品コード
1498585
倉庫ロボットの市場規模、シェア、成長分析、タイプ別、機能別、積載量別、用途別、地域別- 産業予測、2024年~2031年Warehouse Robotics Market Size, Share, Growth Analysis, By Type, By Function, By Payload Capacity, By Application, By Region - Industry Forecast 2024-2031 |
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倉庫ロボットの市場規模、シェア、成長分析、タイプ別、機能別、積載量別、用途別、地域別- 産業予測、2024年~2031年 |
出版日: 2024年06月18日
発行: SkyQuest
ページ情報: 英文 202 Pages
納期: 3~5営業日
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倉庫ロボット 2022年の市場規模は53億9,000万米ドルで、予測期間中のCAGRは13.2%を示し、2023年の61億米ドルから2031年には164億5,000万米ドルに成長すると予測されています。(2024-2031).
eコマースや小売業界の成長に加え、労働力不足や倉庫の効率化ニーズが倉庫ロボット市場の拡大を後押ししています。倉庫ロボットは、人手では危険な作業を処理することで、安全性を向上させます。eコマース分野は、オンラインプラットフォームや選択肢の多さに後押しされて急成長しており、現在の技術的進歩を凌駕しています。VR、AR、ブロックチェーン、ML、AIなどのイノベーションは、ショッピング体験を向上させる。倉庫ロボットの企業は、コスト、配送時間、労働者の危険を削減する革新的な方法を継続的に模索しています。ロボットによるeコマース倉庫の自動化は、費用対効果が高くインテリジェントな代替労働力を提供し、市場のさらなる成長を後押しします。ロボットは、荷物の積み下ろしなどの梱包・出荷作業を自動化することで、人手への依存を減らし、反復作業によるミスを最小限に抑えます。ロボットは、作業員が重量物や危険な作業を管理することを可能にし、安全性と生産性を高める。市場関係者は、倉庫業務の最適化、コスト削減、配送ミスやピッキングエラーなどの問題に起因するパフォーマンスのボトルネックの解消を目指しています。倉庫の自動化を採用することで、企業はプロセスを合理化し、注文の品質基準を満たし、全体的な生産性を高めることができます。
Warehouse Robotics Market size was valued at USD 5.39 billion in 2022 and is projected to grow from USD 6.10 billion in 2023 to USD 16.45 billion by 2031, exhibiting a CAGR of 13.2% during the forecast period. (2024-2031).
The growth of the e-commerce and retail industries, combined with labour shortages and the need for increased warehouse efficiency, is driving the expansion of the warehouse robotics market. Warehouse robotics improve safety by handling hazardous tasks that would otherwise pose risks to human workers. As the e-commerce sector grows rapidly, driven by a plethora of online platforms and choices, it surpasses current technological advancements. Innovations like VR, AR, blockchain, ML, and AI enhance the shopping experience. Companies in warehouse robotics continuously seek innovative ways to reduce costs, delivery times, and worker hazards. Automating e-commerce warehouses with robots offers cost-effective and intelligent labour alternatives, fuelling further market growth. Robots automate tasks in packing and shipping, such as loading and unloading, reducing reliance on human labour and minimizing errors in repetitive tasks. They allow workers to manage heavy and dangerous jobs, enhancing safety and productivity. Market players aim to optimize warehouse operations, cut costs, and eliminate performance bottlenecks caused by issues like delivery faults and picking errors. By adopting warehouse automation, companies can streamline processes, meet order quality standards, and boost overall productivity.
Top-down and bottom-up approaches were used to estimate and validate the size of the Warehouse Robotics 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.
Warehouse Robotics Market Segmental Analysis
Warehouse Robotics Market is segmented based on Type, Function, Payload Capacity, Industry, and region. Based on Type, the market is segmented into Autonomous Mobile Robots (AMRs), Automated Guided Vehicles (AGVs), Articulated Robots, Cylindrical & SCARA Robots, COBOTS, and Others. Based on Function, the market is segmented into Pick & Place, Palletizing & De-palletizing, Transportation, and Packaging. Based on Payload Capacity, the market is segmented into Less than 20kg, 20-100kg,100-200kg, and Greater than 200kg. Based on Industry, the market is segmented into Automotive, Semiconductor & Electronics, Chemical, E-Commerce & 3PL, Food & Beverage, Healthcare, Metals & Heavy Machinery, and Others. Based on region, the Warehouse Robotics Market is segmented into North America, Europe, Asia-Pacific, South America, and MEA.
Drivers of the Warehouse Robotics Market
The surge in e-commerce has significantly heightened the demand for warehouse automation and robotics. As online shopping becomes more prevalent, warehouses face the challenge of processing and fulfilling orders with increased speed, efficiency, and accuracy. To meet these demands, there has been substantial investment in advanced robotic systems. These systems are designed to handle the growing volume of e-commerce orders, ensuring that warehouses can operate smoothly and keep pace with consumer expectations. Consequently, the integration of robotics in warehousing is becoming essential for managing the complexities and high throughput of modern e-commerce logistics.
Restraints in the Warehouse Robotics Market
Integrating robotics into warehouse operations requires a significant capital investment, which can be a substantial financial burden for some companies, especially those with limited warehouse space or low order volumes. This high cost can make it difficult for these enterprises to justify the expenditure. Consequently, businesses must carefully evaluate the cost-effectiveness of this technology to optimize operational efficiency while managing financial constraints. For many, the challenge lies in balancing the potential benefits of automation with the upfront costs, ensuring that the investment aligns with their long-term strategic goals and operational capabilities.
Market Trends of the Warehouse Robotics Market
Integrating artificial intelligence (AI) with machine learning (ML) has become crucial for advancing warehouse robotics systems. AI and ML algorithms analyze data from various sensors and sources to optimize robot movements, resulting in seamless coordination and improved efficiency. This intelligent data processing allows robots to adapt and perform tasks more accurately and swiftly, significantly boosting overall productivity in warehouse operations. By continuously learning and refining their actions, these AI-driven robots can manage inventory, fulfil orders, and navigate complex environments with greater precision, ultimately transforming the landscape of warehouse management and logistics.