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市場調查報告書
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2007833

人工智慧機器人市場預測至2034年——全球機器人類型、技術、組件、應用、最終用戶和區域分析

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機器人市場將達到 171 億美元,並在預測期內以 22.2% 的複合年成長率成長,到 2034 年達到 1,243 億美元。

人工智慧機器人是指整合人工智慧技術的機器人系統,它使機器能夠感知周圍環境、從數據中學習,並在極少人工干預的情況下執行任務。這些機器人利用機器學習、電腦視覺、自然語言處理和先進感測器等功能進行決策、適應動態環境並不斷提升效能。人工智慧機器人正被廣泛應用於製造業、醫療保健、物流、農業和服務業等眾多行業,協助實現複雜任務的自動化,提高效率和準確性,並打造更安全、更智慧的工作流程。

整個產業廣泛採用自動化技術

為了提高營運效率和降低成本,人工智慧機器人正在製造業、物流業和醫療保健業廣泛應用。各行各業都在利用這些系統來解決人手不足、提高生產精度並確保生產線的品質穩定。機器學習的整合使機器人能夠最佳化工作流程、實施預測性維護並即時適應不斷變化的環境。在全球競爭日益激烈的背景下,企業正大力投資智慧工廠和自動化供應鏈,以維持其市場競爭優勢。後疫情時代對韌性的需求進一步加速了這一轉變,使自動化成為實現永續成長的策略要務。

高昂的初始投資和整合成本

部署人工智慧機器人需要大量的初期資本投入,包括硬體、軟體整合和專用基礎設施成本。中小企業往往面臨資金障礙,限制了它們採用此類先進系統的能力。此外,將機器人技術與現有舊有系統整合需要專業知識,這會導致更長的實施週期和隱性成本。持續的維護、網路安全和員工培訓費用進一步加重了財務負擔。這些成本相關的挑戰會減緩市場滲透速度,尤其是在價格敏感的地區和利潤率較低的行業。

協作機器人(cobot)的進展

旨在與人類安全協作的協作機器人的出現,正在為眾多領域開闢新的機會。與傳統工業機器人不同,協作機器人配備了先進的感測器和人工智慧驅動的安全功能,無需安全防護罩,使其成為中小企業的理想選擇。其柔軟性、易於編程和處理多樣化任務的能力,正推動它們在組裝、包裝和品質檢測等領域的應用。隨著人工智慧學習能力的提升,協作機器人變得更加直覺且方便用戶使用。這一趨勢正在加速人機協作,並將自動化擴展到先前未充分利用的領域,例如物流和醫療保健。

網路安全漏洞與資料隱私風險

隨著人工智慧驅動的機器人透過物聯網 (IoT) 和雲端平台連接日益緊密,它們面臨的網路安全威脅也日益增加。機器人系統一旦遭到入侵,可能導致營運中斷、智慧財產權被盜,甚至在工業環境中造成人員傷亡。營運技術 (OT) 和資訊科技 (IT) 網路的整合為惡意攻擊者提供了多個入口點。此外,在醫療和國防領域處理敏感資料的機器人引發了嚴重的隱私擔憂。製造商面臨實施穩健安全通訊協定的持續挑戰,這會增加系統複雜性和營運成本。如果不能保持持續的警惕,這些漏洞可能會破壞人們對自主系統的信任。

新冠疫情的影響

疫情加速了人工智慧機器人的應用,各行各業都在努力應對勞動力短缺和社交距離帶來的挑戰,以維持營運。在製造業和物流業,為了因應激增的電商需求和供應鏈波動,自主系統被迅速部署。在醫療保健領域,為了最大限度地減少人與人之間的接觸,機器人助理在消毒、遠距臨場系統和藥物配送等方面的應用日益廣泛。然而,這場危機也暴露了全球半導體和機器人組件供應鏈的脆弱性,導致生產延誤。疫情過後,在對彈性自動化策略和分散式製造模式的重新關注推動下,市場呈現持續成長態勢。

在預測期內,工業機器人領域預計將佔據最大的市場佔有率。

預計在預測期內,工業機器人領域將佔據最大的市場佔有率,這主要得益於汽車、電子和重型機械行業的廣泛應用。這些機器人能夠在高產量生產環境中提供無與倫比的精度、速度和耐用性。人工智慧的進步正在提升它們在品管、預測性維護和自適應組裝流程方面的能力。隨著工廠向工業4.0標準演進,對互聯工業機器人的需求正在激增。

預計在預測期內,醫療保健和醫療支援領域將呈現最高的複合年成長率。

在預測期內,受手術機器人、復健設備和醫院自動化需求不斷成長的推動,醫療保健和醫療支援領域預計將呈現最高的成長率。人工智慧機器人正透過微創手術的精準性和個人化治療方案的製定,革新患者照護。隨著全球人口老化,老年人照護和行動輔助機器人的需求日益成長。電腦視覺和觸覺回饋技術的進步正在拓展其臨床應用。

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,這主要得益於快速的工業化進程、強力的政府主導舉措以及對智慧製造的大量投資。中國、日本和韓國等國家在汽車和電子產業的機器人生產和部署方面處於領先地位。該地區強大的供應鏈基礎設施以及為解決勞動力短缺問題而對自動化的重視,正在推動進一步成長。政府補貼和促進技術自主的政策正在加速科技的應用。

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,這主要得益於人工智慧和機器人Start-Ups的強勁創新和創業投資投資。美國在開發用於國防、物流和醫療應用的先進自主系統方面處於領先地位。成熟的雲端運算和邊緣人工智慧基礎設施生態系統支援快速部署和擴充性。該地區致力於製造業回流和解決勞動力短缺問題,這正在推動對自動化解決方案的需求。

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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:全球人工智慧機器人市場:按機器人類型分類

  • 工業機器人
    • 關節機器人
    • SCARA機器人
    • 協作機器人(cobots)
    • 直角坐標機器人
  • 服務機器人
    • 商用服務機器人
    • 個人服務機器人
  • 移動機器人
    • 自主移動機器人(AMR)
    • 自動導引運輸車(AGV)
  • 人形機器人

第6章:全球人工智慧機器人市場:按技術分類

  • 機器學習(ML)與深度學習
  • 電腦視覺
  • 自然語言處理(NLP)
  • 人工智慧世代
  • 邊緣人工智慧
  • 強化學習
  • 感測器融合

第7章 全球人工智慧機器人市場:按組件分類

  • 硬體
    • 感應器
    • 處理器
    • 執行器和控制器
    • 電源系統
  • 軟體
    • 人工智慧平台和框架
    • 模擬和建模軟體
    • 車隊管理軟體
  • 服務
    • 整合與部署
    • 維護和支援

第8章 全球人工智慧機器人市場:按應用領域分類

  • 製造和組裝
  • 物流/倉儲業
  • 醫療保健和醫療支持
  • 國防與安全
  • 農業和農場工作
  • 零售和客戶服務
  • 飯店業
  • 建築和基礎設施
  • 檢查和維護
  • 教育/研究

第9章 全球人工智慧機器人市場:按最終用戶分類

  • 電子和半導體
  • 醫療和藥品
  • 食品/飲料
  • 電子商務與零售
  • 航太/國防
  • 農業
  • 物流/運輸
  • 飯店和娛樂

第10章:全球人工智慧機器人市場: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
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他南美國家
  • 中東和非洲
    • 沙烏地阿拉伯
    • UAE
    • 南非
    • 其他中東和非洲國家

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
  • 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.