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市場調査レポート
商品コード
1498589
協働ロボットの市場規模、シェア、成長分析、ペイロード別、用途別、エンドユーザー別、コンポーネント別、地域別 - 産業予測、2024~2031年Collaborative Robot Market Size, Share, Growth Analysis, By Payload, By Application(Handling ), By End-user, By Component, By Region - Industry Forecast 2024-2031 |
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協働ロボットの市場規模、シェア、成長分析、ペイロード別、用途別、エンドユーザー別、コンポーネント別、地域別 - 産業予測、2024~2031年 |
出版日: 2024年06月11日
発行: SkyQuest
ページ情報: 英文 157 Pages
納期: 3~5営業日
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協働ロボットの市場規模は、2022年に8億1,540万米ドルとなり、2023年の9億1,488万米ドルから、2031年までには22億9,777万米ドルに成長し、予測期間(2024~2031年)のCAGRは12.20%で成長すると予測されています。
協働ロボット(コボット)は、ロボットシステムがますます人間社会に溶け込むにつれて、今後数年間で大きな成長率を記録すると予測されています。こうしたインテリジェント・システムは、人間の行動を認識し、それに応じて行動を適応させることが極めて重要です。近い将来、人間の単純な行動を識別し、複雑なタスクに対して適切な反応を示すことができるロボット・システムの開発に大きな期待が寄せられています。この進歩の促進力となるのは、デジタル・ツイン、バーチャル・リアリティ、拡張現実、オフライン・プログラミングやシミュレーション・ソフトウェア・ソリューションの強化といった先進技術です。これらの技術革新により、ロボット性能の最適化や、特定の企業要件を満たすための各種コンポーネントのカスタマイズが可能になります。さらに、エッジ・コンピューティング・システムの採用は、従来のクラウド・ネットワーク・システムから脱却し、ロボット・システムの運用とタスク実行の方法を再構築しています。エッジコンピューティングは、多様な環境に対応する自己駆動型ロボットや医療用センサーの開発を促進し、タスク実行の精度と効率を高めることで、協働ロボット市場に革命をもたらすと考えられています。人工知能(AI)は協働ロボット市場において極めて重要な役割を果たしており、AIを統合したコボットは様々なアプリケーションでメーカーを支援し、業務の効率化と生産性の向上を実現します。これらのAI駆動型コボットは、材料の向きを認識し、試験と検査を実施し、動的なピックアンドプレース作業を実行し、検査結果を解釈し、それに応じて意思決定を行う能力を有しています。労働力不足、時間のかかるトレーニングや入社プロセス、より高い福利厚生や報酬の必要性などを背景とした自動化への需要の高まりは、倉庫、配送、フルフィルメントセンターにおける協働ロボットの採用を促進すると予想されます。その結果、協働ロボット市場は、技術が進歩し、より広範な製造アプリケーションに適応するにつれて、各地域で旺盛な需要が見込まれます。しかし、協働ロボットに高度な技術を活用するには、堅牢なハードウェアや効率的なソフトウェアの購入・設置、自動化設備への多額の設備投資など、従来のロボットシステムと比較して高いコストが必要となります。しかしながら、協働ロボットが生産性、効率性、安全性を向上させるために提供する機能の拡大は、今後も市場にプラスの影響を与え続けると予想されます。
Collaborative Robot size was valued at USD 815.40 million in 2022 and is poised to grow from USD 914.88 million in 2023 to USD 2297.77 million by 2031, growing at a CAGR of 12.20% during the forecast period (2024-2031).
Collaborative robots (cobots) are projected to witness significant growth rates in the coming years, as robotic systems increasingly integrate into human societies. It's crucial for these intelligent systems to recognize human behaviors and adapt their actions accordingly. Expectations are high for the development of robotic systems capable of identifying simple human activities and formulating appropriate responses for complex tasks in the near future. This progress will be driven by advanced technologies such as digital twinning, virtual reality, augmented reality, and enhancements in offline programming and simulation software solutions. These innovations enable the optimization of robot performance and customization of various components to meet specific company requirements. Furthermore, the adoption of edge computing systems is reshaping the way robotic systems operate and execute tasks, moving away from conventional cloud-networked systems. Edge computing is set to revolutionize the collaborative robot market by facilitating the development of self-driven robots and medical sensors for diverse environments, enhancing precision and efficiency in task execution. Artificial intelligence (AI) plays a pivotal role in the collaborative robot market, with AI-integrated cobots assisting manufacturers in various applications to streamline operations and boost productivity. These AI-driven cobots possess the ability to recognize material orientation, conduct testing and inspection, perform dynamic pick-and-place tasks, interpret inspection results, and make decisions accordingly. The increasing demand for automation driven by workforce shortages, time-consuming training and onboarding processes, and the need for higher benefits and remuneration is expected to drive the adoption of collaborative robots in warehouses, distribution, and fulfillment centers. Consequently, the collaborative robot market is poised for robust demand across regions as technology advances and adapts to a broader range of manufacturing applications. However, the utilization of advanced technologies in collaborative robots entails higher costs compared to conventional robotic systems, including expenses related to purchasing and installing robust hardware, efficient software, and substantial capital investments in automation equipment. Nonetheless, the expanded capabilities offered by collaborative robots for enhancing productivity, efficiency, and safety are anticipated to continue positively influencing the market in the future.
Top-down and bottom-up approaches were used to estimate and validate the size of the Collaborative 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.
Collaborative Robot Market Segmental Analysis
Collaborative Robots market is segmented by payload, component, application, end-user, and region. Based on payload, the market is segmented into up to 5 kg, 5-10 kg, 10-25 kg, and more than 25 kg. Based on component, the market is segmented into hardware and software. Based on application, the market is segmented into Handling (pick-and-place, material handling, packaging & palletizing, machine tending), assembling & dissembling (nut fastening, and screwdriving), welding & soldering, pick & place, positioning, Processing (grinding, milling, and cutting) and others. Based on end-user, the market is segmented into automotive, electronics & semiconductors, metals & machining, plastics & polymers, food & beverages, healthcare, logistics, and others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Middle East and Africa, and Latin America.
Drivers of the Collaborative Robot Market
The upward trend of urbanization is expected to drive market growth in the forthcoming years. For instance, data from the World Bank in 2021 revealed that nearly 55% of the global population, amounting to 4.2 billion individuals, reside in urban areas. Estimates indicate that approximately 2 billion people currently inhabit urban regions. Presently, half of the world's population resides in cities, with projections suggesting that within the next 50 years, seven out of ten individuals will be urban dwellers. Factors such as the population surge in urban locales and the growing demand for affordable housing options are anticipated to fuel market expansion. This surge in urban activity necessitates construction, particularly in the housing sector, and the heightened demand for homes is expected to foster a burgeoning market for collaborative robots in the future.
Restraints in the Collaborative Robot Market
The significant expense associated with setting up and maintaining equipment poses challenges for the adoption of technologies such as collaborative robots. Procuring collaborative robots and the necessary tools incurs substantial costs, leading to overall increased expenses. Consequently, only companies and firms with high turnovers and strong competitiveness in the market can afford to integrate these collaborative robots. This situation is expected to dampen the growth of the global collaborative robot market throughout the forecast period.
Market Trends of the Collaborative Robot Market
The increasing need for automation across various industries, including healthcare, automotive, food and beverage, metalworking, plastics, retail, and more, is anticipated to drive growth in the global collaborative robot market. These industries utilize collaborative robots in various processes such as manufacturing assembly, packaging, labeling, pumping, welding, painting, spraying, and material handling. For example, in the food and beverage industry, collaborative robots are employed to swiftly pack large quantities of food within minutes. Similarly, in manufacturing industries, collaborative robots are utilized for assembling product parts.