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市场调查报告书
商品编码
2021578

2034年机器人人工智慧市场预测：按组件、部署模式、机器人类型、技术、最终用户和地区分類的全球分析

AI in Robotics Market Forecasts to 2034- Global Analysis By Component (Hardware and Software), Deployment, Robot Type, Technology, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，预计到 2026 年，全球机器人人工智慧市场规模将达到 269.6 亿美元，在预测期内将以 32.0% 的复合年增长率增长，到 2034 年将达到 2485.6 亿美元。

机器人人工智慧是指将先进的计算演算法、机器学习模型和自主决策能力整合到机器人系统中，以提高其效率、适应性和功能性。这使得机器人能够透过感测器感知环境、解读复杂数据、从经验中学习，并在极少人工干预的情况下执行任务。人工智慧驱动的机器人技术已广泛应用于製造业、医疗保健、物流、国防和服务业等行业，能够优化流程、提高精度、实现即时决策，并最终透过推动自动化创新，弥合智慧运算与物理操作之间的鸿沟。

自动化需求激增

全球范围内提高营运效率和降低成本的趋势正在推动各行各业对自动化需求的激增。製造商和服务供应商正越来越多地采用人工智慧驱动的机器人来简化重复性任务、提高精度并优化生产週期。劳动力短缺、营运成本上升以及对高品质交付成果的需求进一步加剧了这种需求。具备自主决策和自适应学习能力的人工智慧机器人正成为企业在快速变化的产业环境中保持竞争力、创新能力和扩充性的关键工具。

高初始投资

儘管人工智慧在机器人领域具有变革性的优势，但高昂的初始投资仍是其广泛应用的主要障碍。部署、整合和维护先进机器人系统的成本，以及对人工智慧演算法、感测器和运算基础设施的投资，对中小企业而言都是巨大的挑战。企业必须权衡初始财务负担与长期营运效益。此外，员工培训和系统升级的相关成本也加剧了企业的犹豫，延缓了人工智慧驱动的机器人解决方案的普及。

机器学习和电脑视觉的进展

机器学习和电脑视觉的快速发展为人工智慧在机器人领域的应用创造了巨大的成长机会。这些技术赋予机器人先进的感知能力、情境察觉和自适应决策能力，使其能够应用于从自主导航到即时品质检测等广泛领域。演算法效率和运算能力的持续提升正在加速医疗保健、製造业和物流等各行业的应用。透过利用这些创新技术，企业可以解锁新的功能，并在全球范围内建立智慧化的、情境察觉的机器人系统。

技术复杂性

将人工智慧整合到机器人系统中面临巨大的技术复杂性，并对市场扩张构成重大威胁。设计和维护人工智慧机器人需要程式设计、感测器整合、机器学习模型以及系统间互通性的专业知识。复杂的架构会增加出错、运行故障和网路安全漏洞的风险。此外，持续的软体更新和硬体校准也需要专业技能。这些技术障碍可能会阻碍中小企业参与，导致采用率降低。

新冠疫情的影响：

新冠疫情加速了人工智慧在机器人领域的应用，尤其是在需要非接触式操作的领域。在医疗保健、物流和製造业，自主系统被用于在保持社交距离和人手不足的情况下维持业务连续性。机器人协助执行远端监控、社交距离、配送和组装任务，凸显了其强大的适应性和高效性。儘管供应链中断导致初期部署速度放缓，但这场危机凸显了机器人技术在降低人类感染风险和确保营运稳定性方面的重要作用。因此，疫情促使人们更广泛地认识到，人工智慧驱动的机器人是未来工业和医疗保健流程的关键工具。

在预测期内，医疗保健产业预计将占据最大的市场份额。

在预测期内，医疗保健产业预计将占据最大的市场份额，这主要得益于对精准性和营运效率的需求。人工智慧机器人将辅助手术、诊断、病患监测和康復，从而减少人为错误并改善治疗效果。先进的影像处理、机器学习和数据分析技术的融合，实现了即时决策和个人化治疗。随着患者数量的增加、人手不足以及对微创手术需求的增长，人工智慧机器人技术正逐渐成为全球创新、高效且扩充性的医疗保健解决方案的关键组成部分。

预计在预测期内，工业机器人领域将呈现最高的复合年增长率。

在预测期内，由于製造业的快速普及，工业机器人领域预计将呈现最高的成长率。人工智慧的整合提高了复杂生产环境中的营运效率和柔软性。配备机器学习演算法的机器人能够适应动态工作流程，优化物料输送，并在最大限度减少人工干预的情况下执行品质检测。对智慧工厂日益增长的关注以及对扩充性自动化解决方案的需求，进一步推动了市场成长，使工业人工智慧驱动的机器人成为下一代製造业的关键工具。

市占率最大的地区：

在预测期内，亚太地区预计将占据最大的市场份额。这主要得益于中国、日本和韩国等国家对人工智慧机器人在製造业、物流和医疗应用领域的大量投资。政府支持智慧工厂和技术主导医疗解决方案的倡议进一步加速了市场渗透。此外，主要机器人製造商的存在以及人工智慧和工程领域人才的不断涌现，也加速了该地区人工智慧机器人技术的应用，巩固了亚太地区作为全球领先的人工智慧机器人创新中心的地位。

复合年增长率最高的地区：

在预测期内，亚太地区预计将呈现最高的复合年增长率。这是因为人工智慧、机器学习和感测器技术的持续进步正在推动先进机器人应用的发展，从自主生产线到人工智慧辅助手术，无所不包。人们对营运效率、劳动力优化和竞争优势的日益重视，正在推动机器人的广泛应用。加之良好的投资环境以及研究机构与产业界的密切合作，该地区的人工智慧驱动型机器人预计将快速成长，其成长速度将超过全球市场的平均水平。

免费客製化服务：

所有购买此报告的客户均可享受以下免费自订选项之一：

  • 企业概况
    • 对其他市场参与者（最多 3 家公司）进行全面分析
    • 对主要企业进行SWOT分析（最多3家公司）
  • 区域划分
    • 应客户要求，我们提供主要国家和地区的市场估算和预测，以及复合年增长率（註：需进行可行性检查）。
  • 竞争性标竿分析
    • 根据产品系列、地理覆盖范围和策略联盟对主要企业进行基准分析。

目录

第一章执行摘要

  • 市场概览及主要亮点
  • 驱动因素、挑战与机会
  • 竞争格局概述
  • 战略洞察与建议

第二章：研究框架

  • 研究目标和范围
  • 相关人员分析
  • 研究假设和限制
  • 调查方法

第三章 市场动态与趋势分析

  • 市场定义与结构
  • 主要市场驱动因素
  • 市场限制与挑战
  • 投资成长机会和重点领域
  • 产业威胁与风险评估
  • 技术与创新展望
  • 新兴市场/高成长市场
  • 监管和政策环境
  • 新冠疫情的影响及復苏前景

第四章：竞争环境与策略评估

  • 波特五力分析
    • 供应商的议价能力
    • 买方的议价能力
    • 替代品的威胁
    • 新进入者的威胁
    • 竞争公司之间的竞争
  • 主要企业市占率分析
  • 产品基准评效和效能比较

第五章：全球机器人人工智慧市场：按组件划分

  • 硬体
  • 软体

第六章：全球机器人人工智慧市场：以部署方式划分

  • 现场
  • 云

第七章：全球机器人人工智慧市场：按机器人类型划分

  • 工业机器人
  • 服务机器人
  • 协作机器人（cobots）
  • 自主移动机器人（AMR）
  • 人形机器人
  • 人工智慧无人机

第八章：全球机器人人工智慧市场：按技术划分

  • 机器学习
  • 深度学习
  • 电脑视觉
  • 自然语言处理
  • 情境意识
  • 边缘运算

第九章：全球机器人人工智慧市场：按最终用户划分

  • 卫生保健
  • 零售与电子商务
  • 製造业
  • 资讯科技/通讯
  • 车
  • 能源公用事业
  • 其他最终用户

第十章：全球机器人人工智慧市场：按地区划分

  • 北美洲
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 荷兰
    • 比利时
    • 瑞典
    • 瑞士
    • 波兰
    • 其他欧洲国家
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳洲
    • 印尼
    • 泰国
    • 马来西亚
    • 新加坡
    • 越南
    • 其他亚太国家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥伦比亚
    • 智利
    • 秘鲁
    • 其他南美国家
  • 世界其他地区（RoW）
    • 中东
      • 沙乌地阿拉伯
      • 阿拉伯聯合大公国
      • 卡达
      • 以色列
      • 其他中东国家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲国家

第十一章 策略市场资讯

  • 工业价值网络和供应链评估
  • 空白区域和机会地图
  • 产品演进与市场生命週期分析
  • 通路、经销商和打入市场策略的评估

第十二章 产业趋势与策略倡议

  • 併购
  • 伙伴关係、联盟和合资企业
  • 新产品发布和认证
  • 扩大生产能力和投资
  • 其他策略倡议

第十三章：公司简介

  • NVIDIA Corporation
  • IBM Corporation
  • Microsoft Corporation
  • ABB Ltd.
  • FANUC Corporation
  • KUKA AG
  • Yaskawa Electric Corporation
  • Universal Robots A/S
  • Boston Dynamics
  • SoftBank Robotics Group Corp.
  • Covariant
  • Figure AI
  • Palladyne AI
  • Skild AI
  • Persona AI Inc.
Product Code: SMRC34918

According to Stratistics MRC, the Global AI in Robotics Market is accounted for $26.96 billion in 2026 and is expected to reach $248.56 billion by 2034 growing at a CAGR of 32.0% during the forecast period. Artificial Intelligence in Robotics refers to the integration of advanced computational algorithms, machine learning models, and autonomous decision-making capabilities into robotic systems to enhance their efficiency, adaptability, and functionality. It enables robots to perceive their environment through sensors, interpret complex data, learn from experiences, and perform tasks with minimal human intervention. AI-driven robotics are employed across industries such as manufacturing, healthcare, logistics, defense, and service sectors, optimizing processes, improving precision, enabling real-time decision-making, and fostering innovation in automation, ultimately bridging the gap between intelligent computation and physical action.

Market Dynamics:

Driver:

Surging Demand for Automation

The global push for operational efficiency and cost reduction has fueled the surging demand for automation across industries. Manufacturers and service providers increasingly adopt AI-driven robotics to streamline repetitive tasks, enhance precision, and optimize production cycles. This demand is amplified by labor shortages, rising operational costs, and the need for high-quality outputs. AI-enabled robots, capable of autonomous decision-making and adaptive learning, are positioned as essential tools for organizations striving to maintain competitiveness, innovation, and scalability in a rapidly evolving industrial landscape.

Restraint:

High Initial Investment

Despite the transformative benefits, high initial capital expenditure remains a key restraint for AI in robotics adoption. The cost of acquiring, integrating, and maintaining sophisticated robotic systems, coupled with investments in AI algorithms, sensors, and computing infrastructure, poses a barrier for small and medium enterprises. Organizations must balance the upfront financial burden against long-term operational gains. Additionally, expenses related to workforce training and system upgrades further contribute to hesitation, slowing the widespread adoption of AI-enabled robotic solutions.

Opportunity:

Advances in Machine Learning & Computer Vision

Rapid advancements in machine learning and computer vision present significant growth opportunities for AI in robotics. These technologies empower robots with enhanced perception, situational awareness, and adaptive decision-making capabilities, enabling applications ranging from autonomous navigation to real-time quality inspection. Continuous improvements in algorithm efficiency and computational power facilitate deployment across diverse sectors, including healthcare, manufacturing, and logistics. By leveraging these innovations, companies can unlock new functionalities and create intelligent, context-aware robotic systems globally.

Threat:

Technical Complexity

The integration of AI into robotic systems brings substantial technical complexity, representing a notable threat to market expansion. Designing and maintaining AI-enabled robots requires expertise in programming, sensor integration, machine learning models, and system interoperability. Complex architectures increase the risk of errors, operational failures, and cybersecurity vulnerabilities. Furthermore, ongoing software updates and hardware calibration demand specialized skills. This technical barrier can deter smaller enterprises and slow adoption rates.

Covid-19 Impact:

The COVID-19 pandemic accelerated the adoption of AI in robotics, especially in sectors requiring contactless operations. Healthcare, logistics, and manufacturing relied on autonomous systems to maintain continuity amid social distancing and labor shortages. Robots facilitated remote monitoring, disinfection, delivery, and assembly tasks, highlighting resilience and efficiency. While supply chain disruptions initially slowed deployment, the crisis underscored robotics' role in mitigating human exposure and ensuring operational stability. Consequently, the pandemic catalyzed broader recognition of AI-enabled robotics as essential tools for future-proofing industrial and healthcare processes.

The healthcare segment is expected to be the largest during the forecast period

The healthcare segment is expected to account for the largest market share during the forecast period, due to demand for precision and operational efficiency. AI-powered robots assist in surgeries, diagnostics, patient monitoring, and rehabilitation, reducing human error and enhancing outcomes. Integration of advanced imaging, machine learning, and data analytics enables real-time decision-making and personalized treatment. Rising patient volumes, labor shortages, and the need for minimally invasive procedures further drive adoption, positioning AI robotics as critical enablers of innovative, efficient, and scalable healthcare solutions globally.

The industrial robot's segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the industrial robot's segment is predicted to witness the highest growth rate, due to rapid adoption in manufacturing, sectors. AI integration enhances operational efficiency and flexibility in complex production environments. Robots equipped with machine learning algorithms adapt to dynamic workflows, optimize material handling, and perform quality inspections with minimal human intervention. The growing emphasis on smart factories and the demand for scalable automation solutions further propel market growth, positioning industrial AI-driven robots as pivotal tools for next-generation manufacturing.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share, as Countries like China, Japan, and South Korea are investing heavily in AI robotics for manufacturing, logistics, and medical applications. Government initiatives supporting smart factories and technology-driven healthcare solutions further stimulate market penetration. Additionally, the presence of leading robotics manufacturers and a growing talent pool in AI and engineering accelerates regional adoption, solidifying Asia Pacific as the dominant hub for AI-enabled robotic innovations globally.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, as continuous advancements in AI, machine learning, and sensor technologies enable sophisticated robotics applications, from autonomous production lines to AI-assisted surgeries. Increasing awareness of operational efficiency, labor optimization, and competitive advantages encourages widespread deployment. Coupled with a favorable investment climate and collaboration between research institutions and industry, the region is poised for exponential growth in AI-driven robotics, outpacing global market expansion.

Key players in the market

Some of the key players in AI in Robotics Market include NVIDIA Corporation, IBM Corporation, Microsoft Corporation, ABB Ltd., FANUC Corporation, KUKA AG, Yaskawa Electric Corporation, Universal Robots A/S, Boston Dynamics, SoftBank Robotics Group Corp., Covariant, Figure AI, Palladyne AI, Skild AI and Persona AI Inc.

Key Developments:

In February 2026, IBM introduced the next-generation autonomous storage portfolio featuring IBM Flash System 5600, 7600, and 9600, powered by agentic AI. The systems automate storage management, improve cyber-resilience, and optimize enterprise data operations, helping organizations manage AI workloads more efficiently. This launch strengthens IBM's hybrid cloud and AI infrastructure ecosystem by reducing manual IT operations and enabling autonomous data storage environments.

In January 2026, IBM partnered with telecom group e& to deploy enterprise-grade agentic AI solutions for governance and regulatory compliance. The collaboration focuses on implementing advanced AI agents capable of automating compliance monitoring, operational decision-making, and enterprise analytics. Announced at the World Economic Forum in Davos, the initiative demonstrates IBM's growing focus on enterprise AI ecosystems.

Components Covered:

  • Hardware
  • Software

Deployments Covered:

  • On Premise
  • Cloud

Robot Types Covered:

  • Industrial Robots
  • Service Robots
  • Collaborative Robots (Cobots)
  • Autonomous Mobile Robots (AMRs)
  • Humanoid Robots
  • AI-powered Drones

Technologies Covered:

  • Machine Learning
  • Deep Learning
  • Computer Vision
  • Natural Language Processing
  • Context Awareness
  • Edge Computing

End Users Covered:

  • Healthcare
  • Retail & E-commerce
  • Manufacturing
  • IT & Telecom
  • Automotive
  • Energy & Utilities
  • Other End Users

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global AI in Robotics Market, By Component

  • 5.1 Hardware
  • 5.2 Software

6 Global AI in Robotics Market, By Deployment

  • 6.1 On Premise
  • 6.2 Cloud

7 Global AI in Robotics Market, By Robot Type

  • 7.1 Industrial Robots
  • 7.2 Service Robots
  • 7.3 Collaborative Robots (Cobots)
  • 7.4 Autonomous Mobile Robots (AMRs)
  • 7.5 Humanoid Robots
  • 7.6 AI-powered Drones

8 Global AI in Robotics Market, By Technology

  • 8.1 Machine Learning
  • 8.2 Deep Learning
  • 8.3 Computer Vision
  • 8.4 Natural Language Processing
  • 8.5 Context Awareness
  • 8.6 Edge Computing

9 Global AI in Robotics Market, By End User

  • 9.1 Healthcare
  • 9.2 Retail & E-commerce
  • 9.3 Manufacturing
  • 9.4 IT & Telecom
  • 9.5 Automotive
  • 9.6 Energy & Utilities
  • 9.7 Other End Users

10 Global AI in Robotics Market, By Geography

  • 10.1 North America
    • 10.1.1 United States
    • 10.1.2 Canada
    • 10.1.3 Mexico
  • 10.2 Europe
    • 10.2.1 United Kingdom
    • 10.2.2 Germany
    • 10.2.3 France
    • 10.2.4 Italy
    • 10.2.5 Spain
    • 10.2.6 Netherlands
    • 10.2.7 Belgium
    • 10.2.8 Sweden
    • 10.2.9 Switzerland
    • 10.2.10 Poland
    • 10.2.11 Rest of Europe
  • 10.3 Asia Pacific
    • 10.3.1 China
    • 10.3.2 Japan
    • 10.3.3 India
    • 10.3.4 South Korea
    • 10.3.5 Australia
    • 10.3.6 Indonesia
    • 10.3.7 Thailand
    • 10.3.8 Malaysia
    • 10.3.9 Singapore
    • 10.3.10 Vietnam
    • 10.3.11 Rest of Asia Pacific
  • 10.4 South America
    • 10.4.1 Brazil
    • 10.4.2 Argentina
    • 10.4.3 Colombia
    • 10.4.4 Chile
    • 10.4.5 Peru
    • 10.4.6 Rest of South America
  • 10.5 Rest of the World (RoW)
    • 10.5.1 Middle East
      • 10.5.1.1 Saudi Arabia
      • 10.5.1.2 United Arab Emirates
      • 10.5.1.3 Qatar
      • 10.5.1.4 Israel
      • 10.5.1.5 Rest of Middle East
    • 10.5.2 Africa
      • 10.5.2.1 South Africa
      • 10.5.2.2 Egypt
      • 10.5.2.3 Morocco
      • 10.5.2.4 Rest of Africa

11 Strategic Market Intelligence

  • 11.1 Industry Value Network and Supply Chain Assessment
  • 11.2 White-Space and Opportunity Mapping
  • 11.3 Product Evolution and Market Life Cycle Analysis
  • 11.4 Channel, Distributor, and Go-to-Market Assessment

12 Industry Developments and Strategic Initiatives

  • 12.1 Mergers and Acquisitions
  • 12.2 Partnerships, Alliances, and Joint Ventures
  • 12.3 New Product Launches and Certifications
  • 12.4 Capacity Expansion and Investments
  • 12.5 Other Strategic Initiatives

13 Company Profiles

  • 13.1 NVIDIA Corporation
  • 13.2 IBM Corporation
  • 13.3 Microsoft Corporation
  • 13.4 ABB Ltd.
  • 13.5 FANUC Corporation
  • 13.6 KUKA AG
  • 13.7 Yaskawa Electric Corporation
  • 13.8 Universal Robots A/S
  • 13.9 Boston Dynamics
  • 13.10 SoftBank Robotics Group Corp.
  • 13.11 Covariant
  • 13.12 Figure AI
  • 13.13 Palladyne AI
  • 13.14 Skild AI
  • 13.15 Persona AI Inc.

List of Tables

  • Table 1 Global AI in Robotics Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global AI in Robotics Market Outlook, By Component (2023-2034) ($MN)
  • Table 3 Global AI in Robotics Market Outlook, By Hardware (2023-2034) ($MN)
  • Table 4 Global AI in Robotics Market Outlook, By Software (2023-2034) ($MN)
  • Table 5 Global AI in Robotics Market Outlook, By Deployment (2023-2034) ($MN)
  • Table 6 Global AI in Robotics Market Outlook, By On Premise (2023-2034) ($MN)
  • Table 7 Global AI in Robotics Market Outlook, By Cloud (2023-2034) ($MN)
  • Table 8 Global AI in Robotics Market Outlook, By Robot Type (2023-2034) ($MN)
  • Table 9 Global AI in Robotics Market Outlook, By Industrial Robots (2023-2034) ($MN)
  • Table 10 Global AI in Robotics Market Outlook, By Service Robots (2023-2034) ($MN)
  • Table 11 Global AI in Robotics Market Outlook, By Collaborative Robots (Cobots) (2023-2034) ($MN)
  • Table 12 Global AI in Robotics Market Outlook, By Autonomous Mobile Robots (AMRs) (2023-2034) ($MN)
  • Table 13 Global AI in Robotics Market Outlook, By Humanoid Robots (2023-2034) ($MN)
  • Table 14 Global AI in Robotics Market Outlook, By AI-powered Drones (2023-2034) ($MN)
  • Table 15 Global AI in Robotics Market Outlook, By Technology (2023-2034) ($MN)
  • Table 16 Global AI in Robotics Market Outlook, By Machine Learning (2023-2034) ($MN)
  • Table 17 Global AI in Robotics Market Outlook, By Deep Learning (2023-2034) ($MN)
  • Table 18 Global AI in Robotics Market Outlook, By Computer Vision (2023-2034) ($MN)
  • Table 19 Global AI in Robotics Market Outlook, By Natural Language Processing (2023-2034) ($MN)
  • Table 20 Global AI in Robotics Market Outlook, By Context Awareness (2023-2034) ($MN)
  • Table 21 Global AI in Robotics Market Outlook, By Edge Computing (2023-2034) ($MN)
  • Table 22 Global AI in Robotics Market Outlook, By End User (2023-2034) ($MN)
  • Table 23 Global AI in Robotics Market Outlook, By Healthcare (2023-2034) ($MN)
  • Table 24 Global AI in Robotics Market Outlook, By Retail & E-commerce (2023-2034) ($MN)
  • Table 25 Global AI in Robotics Market Outlook, By Manufacturing (2023-2034) ($MN)
  • Table 26 Global AI in Robotics Market Outlook, By IT & Telecom (2023-2034) ($MN)
  • Table 27 Global AI in Robotics Market Outlook, By Automotive (2023-2034) ($MN)
  • Table 28 Global AI in Robotics Market Outlook, By Energy & Utilities (2023-2034) ($MN)
  • Table 29 Global AI in Robotics Market Outlook, By Other End Users (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) are also represented in the same manner as above.