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市场调查报告书
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2007945

人工智慧驱动的工业机器人市场预测至2034年——全球产品、机器人类型、部署模式、技术、最终用户和区域分析

AI Powered Industrial Robots Market Forecasts to 2034 - Global Analysis By Offering (Hardware, Software Platforms and Services), Robot Type, Deployment, 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，全球人工智慧驱动的工业机器人市场将达到 180 亿美元，并在预测期内以 7.1% 的复合年增长率增长，到 2034 年达到 311 亿美元。

人工智慧驱动的工业机器人透过结合智慧演算法和机器人系统，正在革新现代製造业。这些机器人能够有效率且精准地执行焊接、组装、检测和物料输送等复杂任务，进而减少对人工的依赖。借助机器学习和即时分析技术，这些机器人能够适应快速变化的生产环境，简化流程，并提高生产效率。人工智慧的整合透过自动化危险任务来增强安全性，并最大限度地减少错误和营运成本。随着人工智慧驱动的机器人在汽车、电子和物流等产业的应用日益广泛，它们代表着自动化的未来，推动着更智慧、更有效率、更安全的工业运作。

根据国际机器人联合会（IFR）的数据，2022年全球部署的工业机器人数量达到553,000台，其中亚洲约占74%的需求，凸显了人工智慧驱动的自动化在製造业的快速普及。

製造业对自动化日益增长的需求

製造业自动化需求的激增推动了整体人工智慧工业机器人的需求。企业正寻求提高生产效率、降低人事费用并提升精度。这些机器人能够比人工更快地处理重复性和复杂任务，从而提高生产效率。透过自动化包装、组装和侦测等流程，各行业可减少错误、确保品质稳定并优化工作流程。随着汽车、电子和消费品製造商越来越重视效率，人工智慧机器人正变得至关重要，并推动其在生产线上的广泛应用。

熟练人员短缺

人工智慧驱动的工业机器人市场面临的一大挑战是熟练人才短缺。操作、程式设计和维护智慧机器人需要机器人技术、人工智慧和数据分析的专业知识，而这些人才在全球都十分匮乏。这种短缺限制了人工智慧机器人的有效部署和利用，导致企业面临延误、成本增加和营运风险。企业被迫投资培训和招募专业人员，加重了财务和营运负担。因此，儘管对工业效率和生产力的需求日益增长，但熟练人才的短缺正在减缓市场扩张，因为许多行业对采用人工智慧驱动的自动化技术仍然持谨慎态度。

利用人工智慧开发预测性维护

人工智慧驱动的预测性维护为工业机器人带来了巨大的发展机会。这些机器人能够持续监控设备，检测异常情况并预测故障，从而最大限度地减少意外停机时间并降低维护成本。此类预测维修系统可防止生产中断，延长机器寿命并优化资源利用。随着製造商将营运效率和成本降低放在首位，人工智慧驱动的维护解决方案的重要性日益凸显。透过整合这些功能，各行业可提高可靠性，提升整体效能并保持竞争优势。这使得人工智慧机器人不仅在生产车间不可或缺，也是智慧工业管理和智慧工厂计画的关键组成部分。

与低成本机器人的竞争

来自价格低廉、技术含量较低的机器人的竞争正在威胁人工智慧工业机器人市场。预算有限的公司可能会选择满足基本自动化需求的廉价传统机器人，从而避免投资人工智慧解决方案。这可能会限制先进人工智慧机器人的普及，尤其是在中小企业中。新兴供应商提供的高性价比替代方案加剧了价格竞争，给老牌机器人製造商的利润率带来了压力。儘管这些替代方案具有更高的精度、柔软性和效率，但廉价替代方案的存在正在挑战市场份额的扩张，​​并减缓先进人工智慧驱动型工业机器人解决方案的广泛应用。

新冠疫情的影响：

新冠疫情对人工智慧驱动的工业机器人市场产生了重大影响。疫情期间的限制措施和严格的社交距离措施扰乱了传统的製造流程，凸显了自动化和非接触式操作的重要性。疫情期间的劳动力短缺和延误增加了对人工智慧机器人的需求，这些机器人能够在最大限度减少人工干预的同时维持生产。此次危机也加速了数位转型，促使企业采用人工智慧和机器人技术来提高营运效率和韧性。儘管供应链一度受到影响，但疫情最终加速了人工智慧机器人的应用，并刺激了对自动化领域的投资，以确保全球工业营运的安全和连续性。

在预测期内，关节型机器人领域预计将占据最大的市场份额。

由于其柔软性和精准执行复杂任务的能力，关节型机器人预计将在预测期内占据最大的市场份额。这些机器人配备多个关节，广泛应用于汽车、电子和金属加工行业的焊接、组装和物料输送等领域。其强大的适应性使其能够在各种工业环境中运行，并执行其他类型机器人无法完成的复杂功能。高效、多功能和人工智慧整合相结合，使关节型机器人成为製造商的理想选择，巩固了其在工业机器人市场中的重要地位。

在预测期内，医疗保健产业预计将呈现最高的复合年增长率。

在预测期内，医疗保健产业预计将呈现最高的成长率。由于人工智慧机器人具有精准高效的特点，其在医疗保健和製药领域的应用日益广泛，例如药物生产、实验室自动化、手术辅助和病患管理等。对创新医疗保健解决方案日益增长的需求，以及人工智慧和机器人技术的进步，正在推动其快速普及。医院、实验室和製药公司越来越多地采用机器人来提高营运效率和改善患者照护，这使得医疗保健产业成为工业机器人市场的主要驱动力。

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，这主要得益于其快速的工业成长、强大的製造业基础以及政府对自动化发展的激励政策。中国、日本和韩国等主要国家是人工智慧机器人的领先应用者，尤其是在汽车、电子和金属产业。生产效率的提高、人事费用的降低以及人工智慧技术的进步等因素正在巩固该地区的市场地位。此外，智慧工厂和工业4.0标准的推广应用也加速了人工智慧机器人的普及。凭藉工业扩张、创新能力和政策支持，亚太地区已成为人工智慧工业机器人市场中规模最大、最具影响力的市场。

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，这主要得益于先进技术的应用以及对人工智慧和自动化领域的大力投资。美国和加拿大正在汽车、电子、医疗保健和物流行业快速采用人工智慧机器人。智慧製造、预测性维护和工业4.0等相关措施正在推动这一成长。该地区拥有领先的机器人公司和研究机构，其创新生态系统为人工智慧机器人的广泛应用提供了支援。有利的政府政策，加上对营运效率和精度的日益增长的需求，使北美成为全球人工智慧工业机器人成长最快的地区。

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 全球人工智慧驱动型工业机器人市场：依产品/服务分类

  • 硬体
  • 软体平台
  • 服务

第六章 全球人工智慧驱动型工业机器人市场：依机器人类型划分

  • 关节机器人
  • SCARA机器人
  • 直角坐标机器人
  • 协作机器人（cobots）
  • 并联机器人

第七章 全球人工智慧驱动型工业机器人市场：依部署方式划分

  • 现场
  • 云

第八章 全球人工智慧驱动型工业机器人市场：依技术划分

  • 机器学习
  • 电脑视觉
  • 自然语言处理

第九章 全球人工智慧驱动工业机器人市场：依最终用户划分

  • 车
  • 电子和半导体
  • 卫生保健
  • 物流/仓储业
  • 食品/饮料
  • 金属和机械

第十章 全球人工智慧工业机器人市场：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
    • 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

  • ABB Ltd
  • FANUC Corporation
  • Yaskawa Electric Corporation
  • KUKA SE & Co. KGaA
  • Kawasaki Heavy Industries Ltd.
  • Teradyne, Inc.
  • NVIDIA Corporation
  • Omron Corporation
  • Standard Bots
  • Bright Machines
  • Nabtesco Corporation
  • Panasonic Corporation
  • Siemens AG
  • Rockwell Automation Inc.
  • Honeywell International Inc.
  • NIDEC Corporation
  • Addverb Technologies
  • Vecna Robotics
Product Code: SMRC34815

According to Stratistics MRC, the Global AI Powered Industrial Robots Market is accounted for $18.0 billion in 2026 and is expected to reach $31.1 billion by 2034 growing at a CAGR of 7.1% during the forecast period. Industrial robots powered by AI are revolutionizing modern manufacturing by combining intelligent algorithms with robotic systems. They execute intricate operations like welding, assembly, inspection, and material handling efficiently and accurately, reducing reliance on human labor. Using machine learning and real-time analytics, these robots adjust to dynamic production environments, streamline processes, and boost productivity. The integration of AI enhances safety by performing dangerous tasks and minimizes errors and operational costs. Increasingly deployed in sectors such as automotive, electronics, and logistics, AI-driven robots exemplify the future of automation, driving smarter, faster, and safer industrial operations.

According to the International Federation of Robotics (IFR), global industrial robot installations reached 553,000 units in 2022, with Asia accounting for nearly 74% of demand, highlighting the rapid adoption of AI-driven automation in manufacturing.

Market Dynamics:

Driver:

Increasing demand for automation in manufacturing

The surge in automation requirements across manufacturing sectors is propelling the demand for AI-driven industrial robots. Companies aim to boost efficiency, cut labor expenses, and achieve higher accuracy in production operations. These robots can handle repetitive and intricate tasks more rapidly than human workers, facilitating increased output. Automating processes such as packaging, assembly, and inspection allows industries to reduce errors, ensure uniform quality, and optimize workflows. As manufacturers in automotive, electronics, and consumer goods increasingly prioritize efficiency, AI-powered robotics are becoming essential, driving widespread adoption across production lines.

Restraint:

Lack of skilled workforce

A major challenge for the AI-powered industrial robots market is the lack of skilled personnel. Operating, programming, and maintaining intelligent robots requires expertise in robotics, AI, and data analytics, which is scarce worldwide. This shortage limits effective deployment and utilization of AI robotics, causing delays, higher costs, and operational risks for companies. Organizations must invest in training or hire specialized staff, adding financial and logistical burdens. Consequently, the talent gap slows market expansion, as many industries remain cautious in adopting AI-driven automation technologies despite the rising demand for industrial efficiency and productivity.

Opportunity:

Development of AI-powered predictive maintenance

AI-powered predictive maintenance presents significant opportunities for industrial robotics. These robots can continuously monitor equipment, identify anomalies, and forecast failures, minimizing unplanned downtime and reducing maintenance expenses. Such predictive systems ensure uninterrupted production, extend the life of machinery, and optimize resource usage. As manufacturers prioritize operational efficiency and cost reduction, AI-driven maintenance solutions gain importance. Integrating these capabilities enables industries to enhance reliability, improve overall performance, and maintain a competitive advantage, making AI robots essential not just for production but also as key elements in intelligent industrial management and smart factory initiatives.

Threat:

Competition from low-cost robotics

Competition from affordable, low-tech robots threatens the AI industrial robotics market. Businesses with limited budgets may choose inexpensive conventional robots that fulfill basic automation requirements, avoiding investment in AI-enabled solutions. This can restrict the adoption of advanced AI robots, especially among SMEs. Emerging providers offering cost-effective alternatives increase price competition, pressuring profit margins for established robotics firms. Despite AI robots delivering higher precision, flexibility, and efficiency, the presence of cheaper substitute's challenges market share growth and slows the broader adoption of sophisticated AI-driven industrial robotics solutions.

Covid-19 Impact:

The COVID-19 outbreak had a notable impact on the AI-driven industrial robots market. Restrictions and social distancing disrupted conventional manufacturing processes, emphasizing the importance of automation and minimal-contact operations. Labour shortages and delays during the pandemic boosted demand for AI robots that can sustain production without heavy human involvement. The crisis also accelerated digital transformation, motivating companies to implement AI and robotics to improve operational efficiency and resilience. Although supply chains were temporarily affected, the pandemic ultimately accelerated the adoption of AI-powered robotics, driving investments in automation to ensure safe and continuous industrial operations worldwide.

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

The articulated robots segment is expected to account for the largest market share during the forecast period because of their flexibility and capability to execute intricate tasks accurately. With multiple rotational joints, these robots are extensively applied in automotive, electronics, and metalworking sectors for welding, assembly, and handling materials. Their adaptability enables operation in varied industrial settings, performing complex functions beyond the scope of other robot types. The combination of efficiency, versatility, and AI integration has made articulated robots the preferred choice for manufacturers, securing their position as the leading segment in the industrial robotics market.

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

Over the forecast period, the healthcare segment is predicted to witness the highest growth rate. The adoption of AI robots in medical and pharmaceutical applications, including drug production, laboratory automation, surgical support, and patient management, is increasing due to their accuracy and efficiency. Rising demand for innovative healthcare solutions, along with advances in AI and robotics technology, is fuelling rapid deployment. Hospitals, laboratories, and pharmaceutical firms are increasingly integrating robots to streamline operations and enhance patient care, making the healthcare sector the leading growth driver within the industrial robotics market.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share due to its rapid industrial growth, robust manufacturing base, and government incentives for automation. Leading nations such as China, Japan, and South Korea are major adopters of AI robots, especially in automotive, electronics, and metal sectors. Factors like the need for higher production efficiency, labor cost reduction, and AI technological advancements strengthen the region's market position. Furthermore, efforts to implement smart factories and Industry 4.0 standards promote widespread AI robot deployment. Industrial expansion, innovation readiness, and policy support collectively make Asia-Pacific the largest and most influential market for AI industrial robotics.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, driven by advanced technology adoption and strong investment in AI and automation. The United States and Canada are rapidly deploying AI robots across automotive, electronics, healthcare, and logistics industries. Initiatives in smart manufacturing, predictive maintenance, and Industry 4.0 are boosting growth. The region's innovative ecosystem, with leading robotics companies and research institutions, supports widespread adoption. Favourable government policies, combined with the need for operational efficiency and precision, make North America the fastest-growing region for AI-powered industrial robots globally.

Key players in the market

Some of the key players in AI Powered Industrial Robots Market include ABB Ltd, FANUC Corporation, Yaskawa Electric Corporation, KUKA SE & Co. KGaA, Kawasaki Heavy Industries Ltd., Teradyne, Inc., NVIDIA Corporation, Omron Corporation, Standard Bots, Bright Machines, Nabtesco Corporation, Panasonic Corporation, Siemens AG, Rockwell Automation Inc., Honeywell International Inc., NIDEC Corporation, Addverb Technologies and Vecna Robotics.

Key Developments:

In December 2025, ABB and HDF Energy have signed a joint development agreement (JDA) to co-develop a high-power, megawatt-class hydrogen fuel cell system designed for use in marine vessels. The project targets use of the system on various vessel types, including large seagoing ships such as container feeder vessels and liquefied hydrogen carriers.

In November 2025, Rockwell Automation and SLB announced that, following a strategic review, both companies have agreed to pursue an orderly dissolution of their Sensia joint venture. Under the agreement, Rockwell Automation will assume one hundred percent ownership of the Process Automation Business that it contributed to the joint venture, while SLB will fully regain ownership of its contributed assets, including Lift Control and Measurements.

In September 2025, Siemens and leading machine tools and laser manufacturer TRUMPF today announced a partnership that promises to elevate industrial production by harnessing advanced digital manufacturing solutions. The collaboration joins Siemens' Xcelerator portfolio with TRUMPF's renowned machine-building and software expertise.

Offerings Covered:

  • Hardware
  • Software Platforms
  • Services

Robot Types Covered:

  • Articulated Robots
  • SCARA Robots
  • Cartesian Robots
  • Collaborative Robots (Cobots)
  • Parallel Robots

Deployments Covered:

  • On-Premise
  • Cloud

Technologies Covered:

  • Machine Learning
  • Computer Vision
  • Natural Language Processing

End Users Covered:

  • Automotive
  • Electronics & Semiconductors
  • Healthcare
  • Logistics & Warehousing
  • Food & Beverage
  • Metals & Machinery

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 Industrial Robots Market, By Offering

  • 5.1 Hardware
  • 5.2 Software Platforms
  • 5.3 Services

6 Global AI Powered Industrial Robots Market, By Robot Type

  • 6.1 Articulated Robots
  • 6.2 SCARA Robots
  • 6.3 Cartesian Robots
  • 6.4 Collaborative Robots (Cobots)
  • 6.5 Parallel Robots

7 Global AI Powered Industrial Robots Market, By Deployment

  • 7.1 On-Premise
  • 7.2 Cloud

8 Global AI Powered Industrial Robots Market, By Technology

  • 8.1 Machine Learning
  • 8.2 Computer Vision
  • 8.3 Natural Language Processing

9 Global AI Powered Industrial Robots Market, By End User

  • 9.1 Automotive
  • 9.2 Electronics & Semiconductors
  • 9.3 Healthcare
  • 9.4 Logistics & Warehousing
  • 9.5 Food & Beverage
  • 9.6 Metals & Machinery

10 Global AI Powered Industrial Robots 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 ABB Ltd
  • 13.2 FANUC Corporation
  • 13.3 Yaskawa Electric Corporation
  • 13.4 KUKA SE & Co. KGaA
  • 13.5 Kawasaki Heavy Industries Ltd.
  • 13.6 Teradyne, Inc.
  • 13.7 NVIDIA Corporation
  • 13.8 Omron Corporation
  • 13.9 Standard Bots
  • 13.10 Bright Machines
  • 13.11 Nabtesco Corporation
  • 13.12 Panasonic Corporation
  • 13.13 Siemens AG
  • 13.14 Rockwell Automation Inc.
  • 13.15 Honeywell International Inc.
  • 13.16 NIDEC Corporation
  • 13.17 Addverb Technologies
  • 13.18 Vecna Robotics

List of Tables

  • Table 1 Global AI Powered Industrial Robots Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global AI Powered Industrial Robots Market Outlook, By Offering (2023-2034) ($MN)
  • Table 3 Global AI Powered Industrial Robots Market Outlook, By Hardware (2023-2034) ($MN)
  • Table 4 Global AI Powered Industrial Robots Market Outlook, By Software Platforms (2023-2034) ($MN)
  • Table 5 Global AI Powered Industrial Robots Market Outlook, By Services (2023-2034) ($MN)
  • Table 6 Global AI Powered Industrial Robots Market Outlook, By Robot Type (2023-2034) ($MN)
  • Table 7 Global AI Powered Industrial Robots Market Outlook, By Articulated Robots (2023-2034) ($MN)
  • Table 8 Global AI Powered Industrial Robots Market Outlook, By SCARA Robots (2023-2034) ($MN)
  • Table 9 Global AI Powered Industrial Robots Market Outlook, By Cartesian Robots (2023-2034) ($MN)
  • Table 10 Global AI Powered Industrial Robots Market Outlook, By Collaborative Robots (Cobots) (2023-2034) ($MN)
  • Table 11 Global AI Powered Industrial Robots Market Outlook, By Parallel Robots (2023-2034) ($MN)
  • Table 12 Global AI Powered Industrial Robots Market Outlook, By Deployment (2023-2034) ($MN)
  • Table 13 Global AI Powered Industrial Robots Market Outlook, By On-Premise (2023-2034) ($MN)
  • Table 14 Global AI Powered Industrial Robots Market Outlook, By Cloud (2023-2034) ($MN)
  • Table 15 Global AI Powered Industrial Robots Market Outlook, By Technology (2023-2034) ($MN)
  • Table 16 Global AI Powered Industrial Robots Market Outlook, By Machine Learning (2023-2034) ($MN)
  • Table 17 Global AI Powered Industrial Robots Market Outlook, By Computer Vision (2023-2034) ($MN)
  • Table 18 Global AI Powered Industrial Robots Market Outlook, By Natural Language Processing (2023-2034) ($MN)
  • Table 19 Global AI Powered Industrial Robots Market Outlook, By End User (2023-2034) ($MN)
  • Table 20 Global AI Powered Industrial Robots Market Outlook, By Automotive (2023-2034) ($MN)
  • Table 21 Global AI Powered Industrial Robots Market Outlook, By Electronics & Semiconductors (2023-2034) ($MN)
  • Table 22 Global AI Powered Industrial Robots Market Outlook, By Healthcare (2023-2034) ($MN)
  • Table 23 Global AI Powered Industrial Robots Market Outlook, By Logistics & Warehousing (2023-2034) ($MN)
  • Table 24 Global AI Powered Industrial Robots Market Outlook, By Food & Beverage (2023-2034) ($MN)
  • Table 25 Global AI Powered Industrial Robots Market Outlook, By Metals & Machinery (2023-2034) ($MN)

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