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市場調査レポート
商品コード
1676895
協働作用ロボットの世界市場:部品別、ロボットタイプ別、可搬質量別、機能別、用途別、エンドユーザー別、産業分野別-2025-2030年予測Collaborative Laboratory Robot Market by Component, Robot Type, Payload Capacity, Functionality, Application, End User, Industry Vertical - Global Forecast 2025-2030 |
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協働作用ロボットの世界市場:部品別、ロボットタイプ別、可搬質量別、機能別、用途別、エンドユーザー別、産業分野別-2025-2030年予測 |
出版日: 2025年03月09日
発行: 360iResearch
ページ情報: 英文 188 Pages
納期: 即日から翌営業日
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協働作用ロボット市場は、2024年には7億6,584万米ドルとなり、2025年には8億1,431万米ドルに成長し、CAGRは6.58%、2030年には11億2,303万米ドルに達すると予測されています。
主な市場の統計 | |
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基準年 2024 | 7億6,584万米ドル |
推定年 2025 | 8億1,431万米ドル |
予測年 2030 | 11億2,303万米ドル |
CAGR(%) | 6.58% |
協働作用ロボット市場は、急速な技術進歩と実験室作業の複雑化によってダイナミックな成長を遂げています。科学的な要求が進化する中、研究室の自動化は現在、精度、安全性、効率を高めるために高度なロボット工学を統合しています。本レポートでは、市場動向、競合力学、研究環境を変革する戦略的機会を詳細に調査しています。
ハードウェアとソフトウェアのイノベーションを活用した協働ロボットは、研究室環境においてかつてないレベルの柔軟性と適応性を提供します。学術・研究機関、製薬会社、そして様々な産業部門が業務の最適化を目指す中、最先端の自動化システムの必要性はますます重要になってきています。コラボレーティブ・ソリューションの出現は、従来の業務パラダイムを転換するだけでなく、世界中の研究室業務の進化を加速させています。
主な促進要因としては、人工知能の採用の増加、リアルタイムのデータ分析に対する需要、手動介入から自動化プロセスへの移行などが挙げられます。これらの動向は、スループットの向上、オペレーショナルリスクの低減、結果の再現性の向上を約束するロボットシステムへの投資に対する意思決定者の自信を強めています。この入門的な概要は、技術革新とエンドユーザーの要求の両方が、研究と自動化の分野を再形成するためにどのように収束しているかを強調し、市場の状況を包括的に理解するための段階を設定します。
協働作用ロボット市場の変革
過去数年間、研究室ロボット業界は、調査方法の設計と実行方法を変える大きな変革期を経験してきました。高度な機械学習アルゴリズムとリアルタイムモニタリングシステムの統合は、協働作用ロボットの運用の青写真を再定義し、最小限の人間の介入で複雑なタスクを実行することを可能にしました。
コネクティビティとセンサー技術の革新は、より正確にデータを収集するだけでなく、運用の信頼性を向上させる情報に基づいた意思決定を行うラボオートメーションに力を与えました。この変革は、コンポーネント性能の漸進的改善と、ソフトウェアとハードウェア機能を統合する破壊的イノベーションの両方によって推進されてきました。その結果、かつては異質であった機械設計、ソフトウェア工学、プロセス統合の各分野が融合し、多用途で適応性の高いロボットシステムが生み出されるようになっています。
さらに、情報技術とロボット工学の融合は、システムの相互運用性と柔軟性を高める道を開いた。孤立した単機能の機械から、様々なラボ環境に自律的に適応できるインテリジェント・デバイスへの移行は、パラダイム・シフトを意味します。この進化は、手作業でミスの起こりやすいプロセスから、スループットと精度の両方を向上させる合理化されたデータ主導の自動化への移行を特徴としています。
さらに、協働ロボットは、人間のオペレーターと一緒に安全に作業する能力を提供し、精度と適応性が最も重要な環境において、その有用性を拡大します。こうしたシフトは、業務効率を再定義するだけでなく、幅広い科学分野における戦略的投資決定や調査手法にも影響を及ぼしています。
協働作用ロボット市場の主要セグメンテーション洞察
協働作用ロボット市場の広範な分析により、技術的コンポーネントと運用アプリケーションの多様性を反映した複雑なセグメンテーション構造が明らかになりました。市場セグメンテーションはいくつかの軸で定義され、まずコンポーネント分析から始まり、市場はハードウェア、サービス、ソフトウェアに分解されます。ハードウェアのカテゴリーでは、コントローラー、モーター、電源、センサーを分析することでさらに細分化し、サービスでは、統合サービスやサポートサービスに範囲を広げ、ソフトウェアでは、機械学習ソフトウェア、ミドルウェア、ロボットオペレーティングシステム(ROS)などを主要な側面としています。
ロボットのタイプでは、市場は多関節ロボット、直交ロボット、協働ロボット、デルタロボット、デュアルアームロボット、選択コンプライアンス組立ロボットアームに分類され、それぞれが研究室の用途に応じて明確な利点を提供します。この分類は、機能性や適応性が設計によって大きく異なる研究ニーズに、適切なロボット構成を適合させることの重要性を強調しています。
ペイロード容量は、もう一つの重要なセグメンテーション・パラメーターです。ここでは、5Kgまでのロボット、5~10Kgのロボット、10Kg以上のロボットに分類しています。このセグメンテーションは、精密なハンドリングやデリケートなサンプルやマテリアルの移動が要求されるアプリケーションに特に関連します。
機能性は、自動化の度合いに基づいて市場をさらに細分化し、完全な自律運転から半自律運転まです。この区分は、様々なレベルの人間の介入と意思決定能力を必要とする検査室にとって重要です。さらに、アプリケーションベースのセグメンテーションは、データ解析のためのAI統合、自動分注、精密液体ハンドリング、ラピッドプロトタイピング、リアルタイムデータモニタリングなど、ロボットが果たす特定の役割に対処するもので、現代のラボで遭遇する多様な運用環境を反映しています。
エンドユーザーに基づく分類からは、ドライラボ、説明用ラボ、ウェットラボを区別することで、さらなる洞察が得られ、個別の環境課題に対応したロボットシステムの必要性が強調されています。最後に、業界別セグメンテーションは、学術・研究機関、化学研究所、飲食品試験施設、ヘルスケア、製薬・バイオテクノロジー部門におけるこれらの技術の分布を捉えています。全体として、このような包括的なセグメンテーションは、市場プレーヤーが、正確な研究室の要件と運用上の課題に、どのように戦略的に自社の製品を合わせることができるかを説明しています。
The Collaborative Laboratory Robot Market was valued at USD 765.84 million in 2024 and is projected to grow to USD 814.31 million in 2025, with a CAGR of 6.58%, reaching USD 1,123.03 million by 2030.
KEY MARKET STATISTICS | |
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Base Year [2024] | USD 765.84 million |
Estimated Year [2025] | USD 814.31 million |
Forecast Year [2030] | USD 1,123.03 million |
CAGR (%) | 6.58% |
The collaborative laboratory robot market is experiencing dynamic growth fueled by rapid technological advancements and the increasing complexity of laboratory tasks. Amid evolving scientific demands, laboratory automation is now integrating advanced robotics to enhance precision, safety, and efficiency. This report provides an in-depth exploration of market trends, competitive dynamics, and the strategic opportunities that are transforming research environments.
Leveraging innovations in hardware and software, collaborative robots offer an unprecedented level of flexibility and adaptability in laboratory settings. As academic and research institutions, pharmaceutical organizations, and various industry sectors seek to optimize their operations, the need for cutting-edge automation systems is becoming critical. The emergence of collaborative solutions is not only shifting traditional operational paradigms but also accelerating the evolution of laboratory practices worldwide.
Key drivers include the rising adoption of artificial intelligence, the demand for real-time data analysis, and the shift from manual interventions to automated processes. These trends are reinforcing confidence among decision makers to invest in robotic systems that promise increased throughput, reduced operational risks, and enhanced reproducibility of results. This introductory overview sets the stage for a comprehensive understanding of the market landscape, highlighting how both technological innovation and end-user demands are converging to reshape the research and automation arena.
Transformative Shifts in the Collaborative Laboratory Robot Landscape
Over the past few years, the laboratory robotics industry has experienced significant transformative shifts that have altered how research processes are designed and executed. The integration of advanced machine learning algorithms with real-time monitoring systems has redefined the operational blueprint of collaborative laboratory robots, enabling them to perform complex tasks with minimal human intervention.
Innovations in connectivity and sensor technologies have empowered laboratory automation to not only collect data more accurately but also to make informed decisions that enhance operational reliability. This transformation has been driven by both incremental improvements in component performance and disruptive innovations that amalgamate software with hardware capabilities. As a result, the once disparate fields of mechanical design, software engineering, and process integration are now converging to create versatile and adaptive robotic systems.
Furthermore, the convergence of information technology with robotics has paved the way for enhanced system interoperability and flexibility. The transition from isolated, single-function machines to intelligent devices that can autonomously adjust to varying lab environments signifies a paradigm shift. This evolution is characterized by a move from manual, error-prone processes to streamlined, data-driven automation that improves both throughput and precision.
In addition, collaborative robotics provide the ability to work alongside human operators safely, a feature that expands their utility in environments where precision and adaptability are paramount. These shifts are not only redefining operational efficiency but also influencing strategic investment decisions and research methodologies across a broad range of scientific disciplines.
Key Segmentation Insights for Collaborative Laboratory Robot Market
An extensive analysis of the collaborative laboratory robot market reveals a complex segmentation structure that mirrors the diversity of technological components and operational applications. The market segmentation is defined across several axes, beginning with the component analysis, which dissects the market into hardware, services, and software. In the hardware category, further granularity is achieved by analyzing controllers, motors, power supplies, and sensors; for services, the scope extends to integration services and support services; and for software, key aspects include machine learning software, middleware, and the robot operating system (ROS).
In terms of robot type, the market is classified into articulated robots, Cartesian robots, collaborative robots, delta robots, dual-arm robots, and selective compliance assembly robot arms, each offering distinct advantages depending on the laboratory application. This classification underlines the importance of matching the right robotic configuration with specific research needs, where functionality and adaptability vary widely among different designs.
Payload capacity represents another critical segmentation parameter. Here, the market is studied by categorizing robots into those handling up to 5 Kg, those operating in the 5-10 Kg range, and those designed for loads over 10 Kg. This segmentation is particularly relevant for applications that demand precision handling and the movement of delicate samples or materials.
Functionality further segments the market based on the degree of automation, ranging from fully autonomous operations to semi-autonomous ones. This distinction is important for laboratories that require varying levels of human intervention and decision-making capabilities. Furthermore, application-based segmentation addresses the specific roles robots play, such as AI integration for data analysis, automated pipetting, precision liquid handling, rapid prototyping, and real-time data monitoring, reflecting the diverse operational environments encountered in modern laboratories.
Additional insights arise from the categorization based on end users, which differentiates between dry laboratories, expository laboratories, and wet laboratories, emphasizing the need for tailored robotic systems that meet distinct environmental challenges. Finally, industry vertical segmentation captures the distribution of these technologies across academic and research institutes, chemical laboratories, food and beverage testing facilities, healthcare, and pharmaceutical and biotechnology sectors. Overall, such comprehensive segmentation explains how market players can strategically align their offerings with precise laboratory requirements and operational challenges.
Based on Component, market is studied across Hardware, Services, and Software. The Hardware is further studied across Controllers, Motors, Power Supply, and Sensors. The Services is further studied across Integration Services and Support Services. The Software is further studied across Machine Learning Software, Middleware, and Robot Operating System (ROS).
Based on Robot Type, market is studied across Articulated Robots, Cartesian Robots, Collaborative Robots, Delta Robots, Dual-Arm Robots, and Selective Compliance Assembly Robot Arm.
Based on Payload Capacity, market is studied across 5-10 Kg, Over 10 Kg, and Up to 5 Kg.
Based on Functionality, market is studied across Autonomous Operation and Semi-Autonomous Operation.
Based on Application, market is studied across AI Integration for Data Analysis, Automated Pipetting, Precision Liquid Handling, Rapid Prototyping, and Real-time Data Monitoring.
Based on End User, market is studied across Dry Laboratories, Expository Laboratories, and Wet Laboratories.
Based on Industry Vertical, market is studied across Academic & Research Institutes, Chemical Laboratories, Food & Beverage Testing, Healthcare, and Pharmaceutical & Biotechnology.
Key Regional Insights for Collaborative Laboratory Robot Adoption
Geographical trends underscore the differential pace and nature of collaborative laboratory robot adoption across various regions. In the Americas, a mature market ecosystem combined with robust research infrastructure propels the integration of sophisticated robotics in laboratory environments. The high rate of technology adoption here is closely linked to the presence of leading research institutions and a well-established industrial base that values precision and efficiency.
Meanwhile, the Europe, Middle East & Africa region is witnessing an accelerated uptake of collaborative robotics, driven by significant investments in research and development, regulatory support, and government initiatives aimed at promoting science and innovation. This region is characterized by a blend of mature and emerging markets where strategic collaborations between academic institutions and industrial players are commonplace.
The Asia-Pacific region, known for its rapid industrialization and a keen focus on technological innovation, is emerging as a dynamic market for collaborative laboratory robots. The region is marked by high growth potential, driven by a surge in research activities, increasing government investment in healthcare and biotechnology, and a vibrant start-up ecosystem that fosters innovation. These regional insights highlight the varying degrees of market maturity and investment, indicating that regional strategies must be finely tuned to local conditions to effectively capture growth opportunities in the collaborative robotics landscape.
Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.
Key Companies Shaping the Collaborative Laboratory Robot Market
The market is witnessing robust competition and innovation, marked by the strategic moves of several key industry players. Numerous companies have been instrumental in advancing the technological frontiers within laboratory robotics. These include renowned global leaders such as ABB Ltd. and Agilent Technologies Inc. as well as dedicated industry associations like the Association for Advancing Automation. Other influential participants include AUBO (BEIJING) ROBOTICS TECHNOLOGY CO., LTD., Beckman Coulter by Danaher Corporation, Brooks Automation US, LCC, and Eppendorf SE, who continue to expand their portfolios with state-of-the-art solutions.
Furthermore, companies such as FANUC America Corporation, Gilson Inc., and Hamilton Robotics Inc. have made significant strides in integrating advanced control systems with innovative robotics platforms. The industry also sees contributions from well-respected names like JANOME Corporation and KUKA AG by Midea Group, who have been pioneers in the design and development of versatile robotic arms ideal for laboratory applications. Additional noteworthy players include Labman Automation Ltd., Laboratory Services International B.V by Intertek, Merel d.o.o., and Peak Analysis & Automation Ltd by Directech, whose innovations are further complemented by the technological prowess of QIAGEN N.V and Rethink Robotics, Inc. by HAHN Group.
Other industry titans, such as Siemens Healthcare Private Limited, Southwest Research Institute, and Staubli International AG, are redefining the paradigms of laboratory automation with integrated solutions that emphasize reliability and adaptability. Complementing these efforts, Tecan Group Ltd., Thermo Fisher Scientific Inc., and Universal Robots A/S by Teradyne Inc, alongside Yaskawa America, Inc., are setting new benchmarks in performance and operational versatility. Collectively, these companies are not only diversifying the competitive landscape but are also driving the continuous evolution of collaborative laboratory robots through innovation, strategic partnerships, and dedicated research and development initiatives.
The report delves into recent significant developments in the Collaborative Laboratory Robot Market, highlighting leading vendors and their innovative profiles. These include ABB Ltd., Agilent Technologies Inc., Association for Advancing Automation, AUBO (BEIJING) ROBOTICS TECHNOLOGY CO., LTD, Beckman Coulter by Danaher Corporation, Brooks Automation US, LCC, Eppendorf SE, FANUC America Corporation, Gilson Inc., Hamilton Robotics Inc., JANOME Corporation, KUKA AG by Midea Group, Labman Automation Ltd., Laboratory Services International B.V by Intertek, Merel d.o.o., Peak Analysis & Automation Ltd by Directech, QIAGEN N.V, Rethink Robotics, Inc. by HAHN Group, Siemens Healthcare Private Limited, Southwest Research Institute, Staubli International AG, Tecan Group Ltd., Thermo Fisher Scientific Inc., Universal Robots A/S by Teradyne Inc, and Yaskawa America, Inc.. Actionable Recommendations for Industry Leaders in Collaborative Laboratory Robotics
Industry leaders are advised to embrace a proactive approach in responding to evolving market dynamics and technological innovations in the laboratory robotics arena. It is imperative to invest in research and development initiatives that support the convergence of hardware, software, and service-based solutions. By focusing on integrated system design, companies can leverage synergies between machine learning algorithms and robust sensor technologies, thereby enhancing product reliability and operational efficiency.
Adopting a customer-centric strategy by aligning product development with specific laboratory needs is another critical recommendation. Companies should conduct in-depth user research to tailor robotic capabilities to different laboratory settings, considering factors such as the nuances of handling delicate samples, the need for precise control in automated pipetting, and real-time data monitoring requirements. This approach not only strengthens user engagement but also helps in building customized solutions that provide a competitive edge.
Fostering cross-industry collaborations is also essential for accelerating innovation. Strategic partnerships with academic institutions and research laboratories can provide valuable insights and testing platforms, thereby enabling rapid prototyping and iterative refinement of robotic solutions. Additionally, alliances with technology providers in software, sensor technology, and data analytics can drive the development of more intelligent, adaptive, and secure systems.
Leaders should also maintain a keen focus on regulatory compliance and standardization to ensure that emerging robotic solutions can be deployed seamlessly across different global markets. Investing in scalable, modular designs that can be upgraded with the latest advancements is critical to ensuring long-term sustainability. Finally, leveraging digital marketing and robust sales channels to target emerging markets will help in capturing untapped opportunities, driving both market penetration and revenue growth.
Conclusion of Collaborative Laboratory Robot Market Analysis
In conclusion, the collaborative laboratory robot market is at a pivotal juncture, characterized by rapid technological advancements, evolving laboratory requirements, and a competitive landscape driven by innovation. The integration of hardware and software technologies is redefining operational processes in laboratories, making automated systems indispensable for achieving higher precision, efficiency, and safety. With diverse applications spanning AI-driven data analysis, automated pipetting, and precision liquid handling, the market segmentation reveals a complex ecosystem tailored to varied operational needs.
Geographical and strategic insights further emphasize the nuanced differences in technology adoption across the Americas, Europe, Middle East & Africa, and Asia-Pacific regions. Such diversity necessitates a tailored approach to product development and market strategies, ensuring that regional nuances are fully exploited to capture growth opportunities. Company strategies and key technological advancements have underscored the competitive dynamics that are reshaping the robotics landscape, paving the way for enhanced integration and collaboration across different industrial sectors.
Ultimately, the journey towards comprehensive laboratory automation is bolstered by an ecosystem rich in innovation, strategic partnerships, and forward-thinking business models. Companies that successfully blend technological expertise with user-centric design will be well-positioned to lead the transition towards more intelligent, efficient, and resilient laboratory environments.