이 보고서에서는 산업용/협동 로보틱스용 AI 시장을 조사 분석하고, AI 기반 로봇의 성숙도 매핑, 로봇공학의 AI TAM 평가, 산업용/협업 로봇의 채택 패턴 비교 등을 조사 분석했습니다.
중요한 질문에 대한 답변
- 로봇공학 연구개발을 촉진하는 새로운 AI 기법은 무엇이며, 상용화에 얼마나 근접해 있는가?
- AI 기반 로봇공학의 미래를 만들어갈 벤더와 파트너십, 그리고 산업용과 협업 애플리케이션의 차이점은 무엇인가?
- 로봇공학에서 AI의 도입 일정은 어떻게 될 것이며, 기술 격차, 통합의 복잡성, 레거시 인프라 등의 과제가 보급에 어떤 영향을 미치는가?
- 로봇공학에서 AI는 성숙도 및 가치 제공 측면에서 다른 실현 기술(예: 디지털 트윈, 자동화 플랫폼, 산업용 IoT(IIoT)와 어떻게 비교되는가?
목차
주요 조사 결과
주요 예측
주요 기업, 에코시스템
로보틱스에서의 AI 성숙도 지수
로보틱스 DPA 소프트웨어 벤더
로보틱스 비전 하드웨어 벤더
로보틱스에서의 에이전트 AI
로보틱스 기반 모델
월드 모델
새로운 SLAM
결론
KSA
Actionable Benefits:
- Gain a clear understanding of how Artificial Intelligence (AI) is shaping robotics Research and Development (R&D), commercial maturity, and deployment strategies.
- Identify the most critical opportunities and risks in adopting AI-driven robotics across manufacturing, operations, and industrial settings.
- Benchmark vendor ecosystems, strategic partnerships, and competitive positioning to inform partnership and procurement strategies.
- Understand Total Addressable Market (TAM) dynamics for AI in robotics across Operational Technology (OT) and Information Technology (IT) domains, and how to align investment priorities accordingly.
Critical Questions Answered:
- What emerging AI methodologies are advancing robotics R&D, and how close are they to commercial readiness?
- Which vendors and partnerships are defining the future of AI-enabled robotics, and how do they differ across industrial and collaborative applications?
- What are the adoption timelines for AI in robotics, and how do challenges such as skills gaps, integration complexity, and legacy infrastructure affect uptake?
- How does AI in robotics compare with other enabling technologies (e.g., digital twins, automation platforms, and Industrial Internet of Things (IIoT)) in terms of maturity and value delivery?
Research Highlights:
- Mapping of AI-driven robotics maturity, from cutting-edge research methodologies to commercially deployed solutions.
- Analysis of vendor ecosystems, partnerships, and technology enablers shaping adoption pathways.
- TAM assessment for AI in robotics, segmented by OT and IT approaches.
- Insights into collaborative versus industrial robotics adoption patterns, with AI as the differentiator in productivity, flexibility, and safety outcomes.
Who Should Read This?
- C-level executives and strategy leaders in manufacturing, logistics, and industrial organizations evaluating robotics investment and AI integration.
- Product managers and R&D leaders at robotics, AI, and automation technology suppliers seeking quantitative support for roadmaps and partnerships.
- Innovation and digital transformation leaders exploring the intersection of AI, robotics, and Industry 4.0/5.0 technologies.
- Investors and market analysts assessing the growth potential, TAM, and maturity of AI in robotics across industrial ecosystems.
TABLE OF CONTENTS
Key Findings
Key Forecasts
Key Companies and Ecosystems
Maturity Index AI in Robotics
Robotics DPA Software Vendors
Robotics Vision Hardware Vendors
Agentic AI in Robotics
Robotics Foundation Models
World Models
The New SLAM
Final Thoughts
