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市场调查报告书
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2007833

人工智慧机器人市场预测至2034年——全球机器人类型、技术、组件、应用、最终用户和区域分析

AI-Powered Robotics Market Forecasts to 2034 - Global Analysis By Robot Type (Industrial Robots, Service Robots, Mobile Robots, and Humanoid Robots), Technology, Component, Application, 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，全球人工智慧驱动的机器人市场将达到 171 亿美元，并在预测期内以 22.2% 的复合年增长率成长，到 2034 年达到 1,243 亿美元。

人工智慧机器人是指整合人工智慧技术的机器人系统，它使机器能够感知周围环境、从数据中学习，并在极少人工干预的情况下执行任务。这些机器人利用机器学习、电脑视觉、自然语言处理和先进感测器等功能进行决策、适应动态环境并不断提升效能。人工智慧机器人正被广泛应用于製造业、医疗保健、物流、农业和服务业等众多行业，协助实现复杂任务的自动化，提高效率和准确性，并打造更安全、更智慧的工作流程。

整个产业广泛采用自动化技术

为了提高营运效率和降低成本，人工智慧机器人正在製造业、物流业和医疗保健业广泛应用。各行各业都在利用这些系统来解决人手不足、提高生产精度并确保生产线的品质稳定。机器学习的整合使机器人能够优化工作流程、实施预测性维护并即时适应不断变化的环境。在全球竞争日益激烈的背景下，企业正大力投资智慧工厂和自动化供应链，以维持其市场竞争优势。后疫情时代对韧性的需求进一步加速了这一转变，使自动化成为实现永续成长的策略要务。

高昂的初始投资和整合成本

部署人工智慧机器人需要大量的初期资本投入，包括硬体、软体整合和专用基础设施成本。中小企业往往面临资金障碍，限制了它们采用此类先进系统的能力。此外，将机器人技术与现有旧有系统整合需要专业知识，这会导致更长的实施週期和隐性成本。持续的维护、网路安全和员工培训费用进一步加重了财务负担。这些成本相关的挑战会减缓市场渗透速度，尤其是在价格敏感的地区和利润率较低的行业。

协作机器人（cobot）的进展

旨在与人类安全协作的协作机器人的出现，正在为众多领域开闢新的机会。与传统工业机器人不同，协作机器人配备了先进的感测器和人工智慧驱动的安全功能，无需安全防护罩，使其成为中小企业的理想选择。其柔软性、易于编程和处理多样化任务的能力，正推动它们在组装、包装和品质检测等领域的应用。随着人工智慧学习能力的提升，协作机器人变得更加直觉且用户友好。这一趋势正在加速人机协作，并将自动化扩展到先前未充分利用的领域，例如物流和医疗保健。

网路安全漏洞与资料隐私风险

随着人工智慧驱动的机器人透过物联网 (IoT) 和云端平台连接日益紧密，它们面临的网路安全威胁也日益增加。机器人系统一旦遭到入侵，可能导致营运中断、智慧财产权被盗，甚至在工业环境中造成人员伤亡。营运技术 (OT) 和资讯科技 (IT) 网路的整合为恶意攻击者提供了多个入口点。此外，在医疗和国防领域处理敏感资料的机器人引发了严重的隐私担忧。製造商面临实施稳健安全通讯协定的持续挑战，这会增加系统复杂性和营运成本。如果不能保持持续的警惕，这些漏洞可能会破坏人们对自主系统的信任。

新冠疫情的影响

疫情加速了人工智慧机器人的应用，各行各业都在努力应对劳动力短缺和社交距离带来的挑战，以维持营运。在製造业和物流业，为了因应激增的电商需求和供应链波动，自主系统被迅速部署。在医疗保健领域，为了最大限度地减少人与人之间的接触，机器人助理在消毒、远距临场系统和药物配送等方面的应用日益广泛。然而，这场危机也暴露了全球半导体和机器人组件供应链的脆弱性，导致生产延误。疫情过后，在对弹性自动化策略和分散式製造模式的重新关注推动下，市场呈现持续成长态势。

在预测期内，工业机器人领域预计将占据最大的市场份额。

预计在预测期内，工业机器人领域将占据最大的市场份额，这主要得益于汽车、电子和重型机械行业的广泛应用。这些机器人能够在高产量生产环境中提供无与伦比的精度、速度和耐用性。人工智慧的进步正在提升它们在品管、预测性维护和自适应组装流程方面的能力。随着工厂向工业4.0标准演进，对互联工业机器人的需求正在激增。

预计在预测期内，医疗保健和医疗支援领域将呈现最高的复合年增长率。

在预测期内，受手术机器人、復健设备和医院自动化需求不断增长的推动，医疗保健和医疗支援领域预计将呈现最高的成长率。人工智慧机器人正透过微创手术的精准性和个人化治疗方案的製定，革新患者照护。随着全球人口老化，老年人照护和行动辅助机器人的需求日益增长。电脑视觉和触觉回馈技术的进步正在拓展其临床应用。

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，这主要得益于快速的工业化进程、强有力的政府主导倡议以及对智慧製造的大量投资。中国、日本和韩国等国家在汽车和电子产业的机器人生产和部署方面处于领先地位。该地区强大的供应链基础设施以及为解决劳动力短缺问题而对自动化的重视，正在推动进一步成长。政府补贴和促进技术自主的政策正在加速科技的应用。

复合年增长率最高的地区：

在预测期内，北美预计将呈现最高的复合年增长率，这主要得益于人工智慧和机器人Start-Ups的强劲创新和创业投资投资。美国在开发用于国防、物流和医疗应用的先进自主系统方面处于领先地位。成熟的云端运算和边缘人工智慧基础设施生态系统支援快速部署和扩充性。该地区致力于製造业回流和解决劳动力短缺问题，这正在推动对自动化解决方案的需求。

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）
  • 区域细分
    • 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：全球人工智慧机器人市场：按机器人类型划分

  • 工业机器人
    • 关节机器人
    • SCARA机器人
    • 协作机器人（cobots）
    • 直角坐标机器人
  • 服务机器人
    • 商用服务机器人
    • 个人服务机器人
  • 移动机器人
    • 自主移动机器人（AMR）
    • 自动导引运输车（AGV）
  • 人形机器人

第六章：全球人工智慧机器人市场：按技术划分

  • 机器学习（ML）与深度学习
  • 电脑视觉
  • 自然语言处理（NLP）
  • 人工智慧世代
  • 边缘人工智慧
  • 强化学习
  • 感测器融合

第七章 全球人工智慧机器人市场：按组件划分

  • 硬体
    • 感应器
    • 处理器
    • 执行器和控制器
    • 电源系统
  • 软体
    • 人工智慧平台和框架
    • 模拟和建模软体
    • 车队管理软体
  • 服务
    • 整合与部署
    • 维护和支援

第八章 全球人工智慧机器人市场：按应用领域划分

  • 製造和组装
  • 物流/仓储业
  • 医疗保健和医疗支持
  • 国防与安全
  • 农业和农场工作
  • 零售和客户服务
  • 饭店业
  • 建筑和基础设施
  • 检查和维护
  • 教育/研究

第九章 全球人工智慧机器人市场：按最终用户划分

  • 车
  • 电子和半导体
  • 医疗和药品
  • 食品/饮料
  • 电子商务与零售
  • 航太/国防
  • 农业
  • 物流/运输
  • 饭店和娱乐

第十章：全球人工智慧机器人市场：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
    • 其他欧洲国家
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳洲
    • 其他亚太国家
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他南美国家
  • 中东和非洲
    • 沙乌地阿拉伯
    • UAE
    • 南非
    • 其他中东和非洲国家

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

  • ABB Ltd.
  • Fanuc Corporation
  • KUKA AG
  • Yaskawa Electric Corporation
  • Mitsubishi Electric Corporation
  • NVIDIA Corporation
  • Intel Corporation
  • Tesla, Inc.
  • Boston Dynamics
  • Universal Robots A/S
  • Zebra Technologies Corporation
  • Omron Corporation
  • Teradyne, Inc.
  • Amazon Robotics
  • Microsoft Corporation
Product Code: SMRC34708

According to Stratistics MRC, the Global AI-Powered Robotics Market is accounted for $17.1 billion in 2026 and is expected to reach $124.3 billion by 2034 growing at a CAGR of 22.2% during the forecast period. AI-Powered Robotics describes robotic systems integrated with artificial intelligence technologies that enable machines to perceive their surroundings, learn from data, and perform tasks with minimal human intervention. These robots utilize capabilities such as machine learning, computer vision, natural language processing, and advanced sensors to make decisions, adapt to dynamic environments, and continuously improve performance. AI-powered robots are widely deployed across industries including manufacturing, healthcare, logistics, agriculture, and service sectors to automate complex operations, enhance efficiency, improve accuracy, and support safer, smarter workflows.

Market Dynamics:

Driver:

Increasing adoption of automation across industries

The push for operational efficiency and cost reduction is driving widespread adoption of AI-powered robotics across manufacturing, logistics, and healthcare sectors. Industries are leveraging these systems to address labor shortages, enhance precision, and ensure consistent quality in production lines. The integration of machine learning enables robots to optimize workflows, perform predictive maintenance, and adapt to changing environments in real-time. As global competition intensifies, companies are investing heavily in smart factories and automated supply chains to maintain market relevance. This shift is further accelerated by the need for resilience post-pandemic, making automation a strategic imperative for sustainable growth.

Restraint:

High initial investment and integration costs

The deployment of AI-powered robotics involves substantial upfront capital expenditure, including costs for hardware, software integration, and specialized infrastructure. Small and medium-sized enterprises often face financial barriers, limiting their ability to adopt these advanced systems. Additionally, the complexity of integrating robotics with existing legacy systems requires specialized expertise, leading to extended implementation timelines and hidden costs. Ongoing expenses related to maintenance, cybersecurity, and workforce training further compound the financial burden. These cost-related challenges can slow market penetration, particularly in price-sensitive regions and industries with tight operational margins.

Opportunity:

Advancements in collaborative robots (Cobots)

The emergence of collaborative robots designed to work safely alongside humans is unlocking new opportunities across diverse sectors. Unlike traditional industrial robots, cobots are equipped with advanced sensors and AI-driven safety features that eliminate the need for safety cages, making them ideal for small and medium enterprises. Their flexibility, ease of programming, and ability to handle variable tasks are driving adoption in assembly, packaging, and quality inspection roles. As AI improves their learning capabilities, cobots are becoming more intuitive and accessible. This trend is fostering human-robot collaboration, expanding automation into previously underserved areas like logistics and healthcare.

Threat:

Cybersecurity vulnerabilities and data privacy risks

As AI-powered robotics become increasingly connected through the Internet of Things (IoT) and cloud platforms, they are exposed to heightened cybersecurity threats. A breach in robotic systems can lead to operational shutdowns, intellectual property theft, or even physical harm in industrial settings. The convergence of operational technology with IT networks creates multiple entry points for malicious actors. Additionally, robots processing sensitive data in healthcare and defense applications raise significant privacy concerns. Manufacturers face the ongoing challenge of implementing robust security protocols, which can increase system complexity and operational costs. Without continuous vigilance, these vulnerabilities could undermine trust in autonomous systems.

Covid-19 Impact

The pandemic accelerated the adoption of AI-powered robotics as industries sought to maintain operations amidst workforce disruptions and social distancing mandates. Manufacturing and logistics sectors rapidly deployed autonomous systems to manage surging e-commerce demands and supply chain volatility. Healthcare witnessed increased utilization of robotic assistants for disinfection, telepresence, and medication delivery to minimize human exposure. However, the crisis also exposed vulnerabilities in global supply chains for semiconductor components and robotic parts, causing production delays. Post-pandemic, the market is witnessing sustained growth driven by a renewed focus on resilient automation strategies and decentralized manufacturing models.

The industrial robots segment is expected to be the largest during the forecast period

The industrial robots segment is expected to account for the largest market share during the forecast period, driven by extensive adoption in automotive, electronics, and heavy machinery sectors. These robots deliver unparalleled precision, speed, and endurance in high-volume manufacturing environments. Advances in AI are enhancing their capabilities in quality control, predictive maintenance, and adaptive assembly processes. As factories evolve toward Industry 4.0 standards, the demand for interconnected industrial robots is surging.

The healthcare and medical assistance segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the healthcare and medical assistance segment is predicted to witness the highest growth rate, fueled by rising demand for surgical robotics, rehabilitation devices, and hospital automation. AI-powered robots are transforming patient care through precision in minimally invasive surgeries and personalized therapy regimens. The aging global population is increasing the need for assistive robots in elder care and mobility support. Technological advancements in computer vision and haptic feedback are expanding clinical applications.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share, supported by rapid industrialization, strong government initiatives, and significant investments in smart manufacturing. Countries like China, Japan, and South Korea are leading in robotics production and adoption across automotive and electronics sectors. The region's robust supply chain infrastructure and focus on automation to counter labor shortages further drive growth. Government subsidies and policies promoting technological self-sufficiency are accelerating deployment.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, driven by technological innovation and strong venture capital investment in AI and robotics startups. The United States is at the forefront of developing advanced autonomous systems for defense, logistics, and healthcare applications. A mature ecosystem of cloud computing and edge AI infrastructure supports rapid deployment and scalability. The region's focus on reshoring manufacturing and addressing labor shortages is fueling demand for automated solutions.

Key players in the market

Some of the key players in AI-Powered Robotics Market include ABB Ltd., Fanuc Corporation, KUKA AG, Yaskawa Electric Corporation, Mitsubishi Electric Corporation, NVIDIA Corporation, Intel Corporation, Tesla, Inc., Boston Dynamics, Universal Robots A/S, Zebra Technologies Corporation, Omron Corporation, Teradyne, Inc., Amazon Robotics, and Microsoft Corporation.

Key Developments:

In March 2026, NVIDIA and Emerald AI announced that they are working with AES, Constellation, Invenergy, NextEra Energy, Nscale Energy & Power and Vistra to power and advance a new class of AI factories that connect to the grid faster, generate valuable AI tokens and intelligence, and operate as flexible energy assets that can support the grid.

In March 2026, Intel announced the launch of its new Intel(R) Core(TM) Ultra 200HX Plus series mobile processors, giving gamers and professionals new high-performance options in the Core Ultra 200 series family. Optimized for advanced gaming, streaming, content creation, and workstation use, the Intel Core Ultra 200HX Plus series introduces two new processors - Intel Core Ultra 9 290HX Plus and Intel Core Ultra 7 270HX Plus.

Robot Types Covered:

  • Industrial Robots
  • Service Robots
  • Mobile Robots
  • Humanoid Robots

Technologies Covered:

  • Machine Learning (ML) & Deep Learning
  • Computer Vision
  • Natural Language Processing (NLP)
  • Generative AI
  • Edge AI
  • Reinforcement Learning
  • Sensor Fusion

Components Covered:

  • Hardware
  • Software
  • Services

Applications Covered:

  • Manufacturing and Assembly
  • Logistics and Warehousing
  • Healthcare and Medical Assistance
  • Defense and Security
  • Agriculture and Farming
  • Retail and Customer Service
  • Hospitality
  • Construction and Infrastructure
  • Inspection and Maintenance
  • Education and Research

End Users Covered:

  • Automotive
  • Electronics and Semiconductors
  • Healthcare and Pharmaceuticals
  • Food and Beverage
  • E-commerce and Retail
  • Aerospace and Defense
  • Agriculture
  • Logistics and Transportation
  • Hospitality and Entertainment

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-Powered Robotics Market, By Robot Type

  • 5.1. Industrial Robots
    • 5.1.1. Articulated Robots
    • 5.1.2. SCARA Robots
    • 5.1.3. Collaborative Robots (Cobots)
    • 5.1.4. Cartesian Robots
  • 5.2. Service Robots
    • 5.2.1. Professional Service Robots
    • 5.2.2. Personal Service Robots
  • 5.3. Mobile Robots
    • 5.3.1. Autonomous Mobile Robots (AMRs)
    • 5.3.2. Automated Guided Vehicles (AGVs)
  • 5.4. Humanoid Robots

6 Global AI-Powered Robotics Market, By Technology

  • 6.1. Machine Learning (ML) & Deep Learning
  • 6.2. Computer Vision
  • 6.3. Natural Language Processing (NLP)
  • 6.4. Generative AI
  • 6.5. Edge AI
  • 6.6. Reinforcement Learning
  • 6.7. Sensor Fusion

7 Global AI-Powered Robotics Market, By Component

  • 7.1. Hardware
    • 7.1.1. Sensors
    • 7.1.2. Processors
    • 7.1.3. Actuators and Controllers
    • 7.1.4. Power Systems
  • 7.2. Software
    • 7.2.1. AI Platforms and Frameworks
    • 7.2.2. Simulation and Modeling Software
    • 7.2.3. Fleet Management Software
  • 7.3. Services
    • 7.3.1. Integration and Deployment
    • 7.3.2. Maintenance and Support

8 Global AI-Powered Robotics Market, By Application

  • 8.1. Manufacturing and Assembly
  • 8.2. Logistics and Warehousing
  • 8.3. Healthcare and Medical Assistance
  • 8.4. Defense and Security
  • 8.5. Agriculture and Farming
  • 8.6. Retail and Customer Service
  • 8.7. Hospitality
  • 8.8. Construction and Infrastructure
  • 8.9. Inspection and Maintenance
  • 8.10. Education and Research

9 Global AI-Powered Robotics Market, By End User

  • 9.1. Automotive
  • 9.2. Electronics and Semiconductors
  • 9.3. Healthcare and Pharmaceuticals
  • 9.4. Food and Beverage
  • 9.5. E-commerce and Retail
  • 9.6. Aerospace and Defense
  • 9.7. Agriculture
  • 9.8. Logistics and Transportation
  • 9.9. Hospitality and Entertainment

10 Global AI-Powered 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. 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. Rest of Asia Pacific
  • 10.4. South America
    • 10.4.1. Brazil
    • 10.4.2. Argentina
    • 10.4.3. Rest of South America
  • 10.5. Middle East & Africa
    • 10.5.1. Saudi Arabia
    • 10.5.2. UAE
    • 10.5.3. South Africa
    • 10.5.4. Rest of MEA

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 ABB Ltd.
  • 13.2 Fanuc Corporation
  • 13.3 KUKA AG
  • 13.4 Yaskawa Electric Corporation
  • 13.5 Mitsubishi Electric Corporation
  • 13.6 NVIDIA Corporation
  • 13.7 Intel Corporation
  • 13.8 Tesla, Inc.
  • 13.9 Boston Dynamics
  • 13.10 Universal Robots A/S
  • 13.11 Zebra Technologies Corporation
  • 13.12 Omron Corporation
  • 13.13 Teradyne, Inc.
  • 13.14 Amazon Robotics
  • 13.15 Microsoft Corporation

List of Tables

  • Table 1 Global AI Powered Robotics Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global AI Powered Robotics Market Outlook, By Robot Type (2023-2034) ($MN)
  • Table 3 Global AI Powered Robotics Market Outlook, By Industrial Robots (2023-2034) ($MN)
  • Table 4 Global AI Powered Robotics Market Outlook, By Articulated Robots (2023-2034) ($MN)
  • Table 5 Global AI Powered Robotics Market Outlook, By SCARA Robots (2023-2034) ($MN)
  • Table 6 Global AI Powered Robotics Market Outlook, By Collaborative Robots (Cobots) (2023-2034) ($MN)
  • Table 7 Global AI Powered Robotics Market Outlook, By Cartesian Robots (2023-2034) ($MN)
  • Table 8 Global AI Powered Robotics Market Outlook, By Service Robots (2023-2034) ($MN)
  • Table 9 Global AI Powered Robotics Market Outlook, By Professional Service Robots (2023-2034) ($MN)
  • Table 10 Global AI Powered Robotics Market Outlook, By Personal Service Robots (2023-2034) ($MN)
  • Table 11 Global AI Powered Robotics Market Outlook, By Mobile Robots (2023-2034) ($MN)
  • Table 12 Global AI Powered Robotics Market Outlook, By Autonomous Mobile Robots (AMRs) (2023-2034) ($MN)
  • Table 13 Global AI Powered Robotics Market Outlook, By Automated Guided Vehicles (AGVs) (2023-2034) ($MN)
  • Table 14 Global AI Powered Robotics Market Outlook, By Humanoid Robots (2023-2034) ($MN)
  • Table 15 Global AI Powered Robotics Market Outlook, By Technology (2023-2034) ($MN)
  • Table 16 Global AI Powered Robotics Market Outlook, By Machine Learning (ML) & Deep Learning (2023-2034) ($MN)
  • Table 17 Global AI Powered Robotics Market Outlook, By Computer Vision (2023-2034) ($MN)
  • Table 18 Global AI Powered Robotics Market Outlook, By Natural Language Processing (NLP) (2023-2034) ($MN)
  • Table 19 Global AI Powered Robotics Market Outlook, By Generative AI (2023-2034) ($MN)
  • Table 20 Global AI Powered Robotics Market Outlook, By Edge AI (2023-2034) ($MN)
  • Table 21 Global AI Powered Robotics Market Outlook, By Reinforcement Learning (2023-2034) ($MN)
  • Table 22 Global AI Powered Robotics Market Outlook, By Sensor Fusion (2023-2034) ($MN)
  • Table 23 Global AI Powered Robotics Market Outlook, By Component (2023-2034) ($MN)
  • Table 24 Global AI Powered Robotics Market Outlook, By Hardware (2023-2034) ($MN)
  • Table 25 Global AI Powered Robotics Market Outlook, By Sensors (2023-2034) ($MN)
  • Table 26 Global AI Powered Robotics Market Outlook, By Processors (2023-2034) ($MN)
  • Table 27 Global AI Powered Robotics Market Outlook, By Actuators and Controllers (2023-2034) ($MN)
  • Table 28 Global AI Powered Robotics Market Outlook, By Power Systems (2023-2034) ($MN)
  • Table 29 Global AI Powered Robotics Market Outlook, By Software (2023-2034) ($MN)
  • Table 30 Global AI Powered Robotics Market Outlook, By AI Platforms and Frameworks (2023-2034) ($MN)
  • Table 31 Global AI Powered Robotics Market Outlook, By Simulation and Modeling Software (2023-2034) ($MN)
  • Table 32 Global AI Powered Robotics Market Outlook, By Fleet Management Software (2023-2034) ($MN)
  • Table 33 Global AI Powered Robotics Market Outlook, By Services (2023-2034) ($MN)
  • Table 34 Global AI Powered Robotics Market Outlook, By Integration and Deployment (2023-2034) ($MN)
  • Table 35 Global AI Powered Robotics Market Outlook, By Maintenance and Support (2023-2034) ($MN)
  • Table 36 Global AI Powered Robotics Market Outlook, By Application (2023-2034) ($MN)
  • Table 37 Global AI Powered Robotics Market Outlook, By Manufacturing and Assembly (2023-2034) ($MN)
  • Table 38 Global AI Powered Robotics Market Outlook, By Logistics and Warehousing (2023-2034) ($MN)
  • Table 39 Global AI Powered Robotics Market Outlook, By Healthcare and Medical Assistance (2023-2034) ($MN)
  • Table 40 Global AI Powered Robotics Market Outlook, By Defense and Security (2023-2034) ($MN)
  • Table 41 Global AI Powered Robotics Market Outlook, By Agriculture and Farming (2023-2034) ($MN)
  • Table 42 Global AI Powered Robotics Market Outlook, By Retail and Customer Service (2023-2034) ($MN)
  • Table 43 Global AI Powered Robotics Market Outlook, By Hospitality (2023-2034) ($MN)
  • Table 44 Global AI Powered Robotics Market Outlook, By Construction and Infrastructure (2023-2034) ($MN)
  • Table 45 Global AI Powered Robotics Market Outlook, By Inspection and Maintenance (2023-2034) ($MN)
  • Table 46 Global AI Powered Robotics Market Outlook, By Education and Research (2023-2034) ($MN)
  • Table 47 Global AI Powered Robotics Market Outlook, By End User (2023-2034) ($MN)
  • Table 48 Global AI Powered Robotics Market Outlook, By Automotive (2023-2034) ($MN)
  • Table 49 Global AI Powered Robotics Market Outlook, By Electronics and Semiconductors (2023-2034) ($MN)
  • Table 50 Global AI Powered Robotics Market Outlook, By Healthcare and Pharmaceuticals (2023-2034) ($MN)
  • Table 51 Global AI Powered Robotics Market Outlook, By Food and Beverage (2023-2034) ($MN)
  • Table 52 Global AI Powered Robotics Market Outlook, By E-commerce and Retail (2023-2034) ($MN)
  • Table 53 Global AI Powered Robotics Market Outlook, By Aerospace and Defense (2023-2034) ($MN)
  • Table 54 Global AI Powered Robotics Market Outlook, By Agriculture (2023-2034) ($MN)
  • Table 55 Global AI Powered Robotics Market Outlook, By Logistics and Transportation (2023-2034) ($MN)
  • Table 56 Global AI Powered Robotics Market Outlook, By Hospitality and Entertainment (2023-2034) ($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.