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市場調查報告書
商品編碼
2007945

人工智慧驅動的工業機器人市場預測至2034年——全球產品、機器人類型、部署模式、技術、最終用戶和區域分析

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個工作天內

價格

根據 Stratistics MRC 的數據，預計到 2026 年，全球人工智慧驅動的工業機器人市場將達到 180 億美元，並在預測期內以 7.1% 的複合年成長率成長，到 2034 年達到 311 億美元。

人工智慧驅動的工業機器人透過結合智慧演算法和機器人系統，正在革新現代製造業。這些機器人能夠有效率且精準地執行焊接、組裝、檢測和物料輸送等複雜任務，進而減少對人工的依賴。借助機器學習和即時分析技術，這些機器人能夠適應快速變化的生產環境，簡化流程，並提高生產效率。人工智慧的整合透過自動化危險任務來增強安全性，並最大限度地減少錯誤和營運成本。隨著人工智慧驅動的機器人在汽車、電子和物流等產業的應用日益廣泛，它們代表著自動化的未來，推動著更智慧、更有效率、更安全的工業運作。

根據國際機器人聯合會（IFR）的數據，2022年全球部署的工業機器人數量達到553,000台，其中亞洲約佔74%的需求，凸顯了人工智慧驅動的自動化在製造業的快速普及。

製造業對自動化日益成長的需求

製造業自動化需求的激增推動了整體人工智慧工業機器人的需求。企業正尋求提高生產效率、降低人事費用並提升精度。這些機器人能夠比人工更快地處理重複性和複雜任務，從而提高生產效率。透過自動化包裝、組裝和偵測等流程，各行業可減少錯誤、確保品質穩定並最佳化工作流程。隨著汽車、電子和消費品製造商越來越重視效率，人工智慧機器人正變得至關重要，並推動其在生產線上的廣泛應用。

熟練人員短缺

人工智慧驅動的工業機器人市場面臨的一大挑戰是熟練人才短缺。操作、程式設計和維護智慧機器人需要機器人技術、人工智慧和數據分析的專業知識，而這些人才在全球都十分匱乏。這種短缺限制了人工智慧機器人的有效部署和利用，導致企業面臨延誤、成本增加和營運風險。企業被迫投資培訓和招募專業人員，加重了財務和營運負擔。因此，儘管對工業效率和生產力的需求日益成長，但熟練人才的短缺正在減緩市場擴張，因為許多行業對採用人工智慧驅動的自動化技術仍然持謹慎態度。

利用人工智慧開發預測性維護

人工智慧驅動的預測性維護為工業機器人帶來了巨大的發展機會。這些機器人能夠持續監控設備，檢測異常情況並預測故障，從而最大限度地減少意外停機時間並降低維護成本。此類預測維修系統可防止生產中斷，延長機器壽命並最佳化資源利用。隨著製造商將營運效率和成本降低放在首位，人工智慧驅動的維護解決方案的重要性日益凸顯。透過整合這些功能，各行業可提高可靠性，提升整體效能並保持競爭優勢。這使得人工智慧機器人不僅在生產車間不可或缺，也是智慧工業管理和智慧工廠計畫的關鍵組成部分。

與低成本機器人的競爭

來自價格低廉、技術含量較低的機器人的競爭正在威脅人工智慧工業機器人市場。預算有限的公司可能會選擇滿足基本自動化需求的廉價傳統機器人，從而避免投資人工智慧解決方案。這可能會限制先進人工智慧機器人的普及，尤其是在中小企業中。新興供應商提供的具成本效益替代方案加劇了價格競爭，給老牌機器人製造商的利潤率帶來了壓力。儘管這些替代方案具有更高的精度、柔軟性和效率，但廉價替代方案的存在正在挑戰市場佔有率的擴張，​​並減緩先進人工智慧驅動型工業機器人解決方案的廣泛應用。

新冠疫情的影響：

新冠疫情對人工智慧驅動的工業機器人市場產生了重大影響。疫情期間的限制措施和嚴格的社交距離措施擾亂了傳統的製造流程，凸顯了自動化和非接觸式操作的重要性。疫情期間的勞動力短缺和延誤增加了對人工智慧機器人的需求，這些機器人能夠在最大限度減少人工干預的同時維持生產。此次危機也加速了數位轉型，促使企業採用人工智慧和機器人技術來提高營運效率和韌性。儘管供應鏈一度受到影響，但疫情最終加速了人工智慧機器人的應用，並刺激了對自動化領域的投資，以確保全球工業營運的安全和連續性。

在預測期內，關節型機器人領域預計將佔據最大的市場佔有率。

由於其柔軟性和精準執行複雜任務的能力，關節型機器人預計將在預測期內佔據最大的市場佔有率。這些機器人配備多個關節，廣泛應用於汽車、電子和金屬加工行業的焊接、組裝和物料輸送等領域。其強大的適應性使其能夠在各種工業環境中運行，並執行其他類型機器人無法完成的複雜功能。高效、多功能和人工智慧整合相結合，使關節型機器人成為製造商的理想選擇，鞏固了其在工業機器人市場中的重要地位。

在預測期內，醫療保健產業預計將呈現最高的複合年成長率。

在預測期內，醫療保健產業預計將呈現最高的成長率。由於人工智慧機器人具有精準高效的特點，其在醫療保健和製藥領域的應用日益廣泛，例如藥物生產、實驗室自動化、手術輔助和病患管理等。對創新醫療保健解決方案日益成長的需求，以及人工智慧和機器人技術的進步，正在推動其快速普及。醫院、實驗室和製藥公司擴大採用機器人來提高營運效率和改善患者照護，這使得醫療保健產業成為工業機器人市場的主要驅動力。

市佔率最大的地區：

在預測期內，亞太地區預計將佔據最大的市場佔有率，這主要得益於其快速的工業成長、強大的製造業基礎以及政府對自動化發展的激勵政策。中國、日本和韓國等主要國家是人工智慧機器人的領先應用者，尤其是在汽車、電子和金屬產業。生產效率的提高、人事費用的降低以及人工智慧技術的進步等因素正在鞏固該地區的市場地位。此外，智慧工廠和工業4.0標準的推廣應用也加速了人工智慧機器人的普及。憑藉工業擴張、創新能力和政策支持，亞太地區已成為人工智慧工業機器人市場中規模最大、最具影響力的市場。

複合年成長率最高的地區：

在預測期內，北美預計將呈現最高的複合年成長率，這主要得益於先進技術的應用以及對人工智慧和自動化領域的大力投資。美國和加拿大正在汽車、電子、醫療保健和物流行業快速採用人工智慧機器人。智慧製造、預測性維護和工業4.0等相關措施正在推動這一成長。該地區擁有領先的機器人公司和研究機構，其創新生態系統為人工智慧機器人的廣泛應用提供了支援。有利的政府政策，加上對營運效率和精度的日益成長的需求，使北美成為全球人工智慧工業機器人成長最快的地區。

免費客製化服務：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

  • 企業概況
    • 對其他市場參與者（最多 3 家公司）進行全面分析
    • 對主要企業進行SWOT分析（最多3家公司）
  • 區域細分
    • 應客戶要求，我們提供主要國家和地區的市場估算和預測，以及複合年成長率（註：需進行可行性檢查）。
  • 競爭性標竿分析
    • 根據產品系列、地理覆蓋範圍和策略聯盟對主要企業進行基準分析。

目錄

第1章執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要企業市佔率分析
  • 產品基準評效和效能比較

第5章 全球人工智慧驅動型工業機器人市場：依產品/服務分類

  • 硬體
  • 軟體平台
  • 服務

第6章 全球人工智慧驅動型工業機器人市場：依機器人類型分類

  • 關節機器人
  • SCARA機器人
  • 直角坐標機器人
  • 協作機器人（cobots）
  • 並聯機器人

第7章 全球人工智慧驅動型工業機器人市場：依部署方式分類

  • 現場
  • 雲

第8章 全球人工智慧驅動型工業機器人市場：依技術分類

  • 機器學習
  • 電腦視覺
  • 自然語言處理

第9章 全球人工智慧驅動工業機器人市場：依最終用戶分類

  • 車
  • 電子和半導體
  • 衛生保健
  • 物流/倉儲業
  • 食品/飲料
  • 金屬和機械

第10章 全球人工智慧工業機器人市場：按地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第11章 策略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第12章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第13章：公司簡介

  • 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.