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市場調查報告書
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2021578

2034年機器人人工智慧市場預測：按組件、部署模式、機器人類型、技術、最終用戶和地區分類的全球分析

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

價格

根據 Stratistics MRC 的數據，預計到 2026 年，全球機器人人工智慧市場規模將達到 269.6 億美元，在預測期內將以 32.0% 的複合年成長率成長，到 2034 年將達到 2485.6 億美元。

機器人人工智慧是指將先進的計算演算法、機器學習模型和自主決策能力整合到機器人系統中，以提高其效率、適應性和功能性。這使得機器人能夠透過感測器感知環境、解讀複雜數據、從經驗中學習，並在極少人工干預的情況下執行任務。人工智慧驅動的機器人技術已廣泛應用於製造業、醫療保健、物流、國防和服務業等行業，能夠最佳化流程、提高精度、實現即時決策，並最終透過推動自動化創新，彌合智慧運算與物理操作之間的鴻溝。

自動化需求激增

全球範圍內提高營運效率和降低成本的趨勢正在推動各行各業對自動化需求的激增。製造商和服務供應商正擴大採用人工智慧驅動的機器人來簡化重複性任務、提高精度並最佳化生產週期。勞動力短缺、營運成本上升以及對高品質交付成果的需求進一步加劇了這種需求。具備自主決策和自適應學習能力的人工智慧機器人正成為企業在快速變化的產業環境中保持競爭力、創新能力和擴充性的關鍵工具。

高初始投資

儘管人工智慧在機器人領域具有變革性的優勢，但高昂的初始投資仍是其廣泛應用的主要障礙。部署、整合和維護先進機器人系統的成本，以及對人工智慧演算法、感測器和運算基礎設施的投資，對中小企業而言都是巨大的挑戰。企業必須權衡初始財務負擔與長期營運效益。此外，員工培訓和系統升級的相關成本也加劇了企業的猶豫，延緩了人工智慧驅動的機器人解決方案的普及。

機器學習和電腦視覺的進展

機器學習和電腦視覺的快速發展為人工智慧在機器人領域的應用創造了巨大的成長機會。這些技術賦予機器人先進的感知能力、情境察覺和自適應決策能力，使其能夠應用於從自主導航到即時品質檢測等廣泛領域。演算法效率和運算能力的持續提升正在加速醫療保健、製造業和物流等各行業的應用。透過利用這些創新技術，企業可以解鎖新的功能，並在全球範圍內建立智慧化的、情境察覺的機器人系統。

技術複雜性

將人工智慧整合到機器人系統中面臨巨大的技術複雜性，並對市場擴張構成重大威脅。設計和維護人工智慧機器人需要程式設計、感測器整合、機器學習模型以及系統間互通性的專業知識。複雜的架構會增加出錯、運行故障和網路安全漏洞的風險。此外，持續的軟體更新和硬體校準也需要專業技能。這些技術障礙可能會阻礙中小企業參與，導致採用率降低。

新冠疫情的影響：

新冠疫情加速了人工智慧在機器人領域的應用，尤其是在需要非接觸式操作的領域。在醫療保健、物流和製造業，自主系統被用於在保持社交距離和人手不足的情況下維持業務連續性。機器人協助執行遠端監控、社交距離、配送和組裝任務，凸顯了其強大的適應性和高效性。儘管供應鏈中斷導致初期部署速度放緩，但這場危機凸顯了機器人技術在降低人類感染風險和確保營運穩定性方面的重要作用。因此，疫情促使人們更廣泛地認知到，人工智慧驅動的機器人是未來工業和醫療保健流程的關鍵工具。

在預測期內，醫療保健產業預計將佔據最大的市場佔有率。

在預測期內，醫療保健產業預計將佔據最大的市場佔有率，這主要得益於對精準性和營運效率的需求。人工智慧機器人將輔助手術、診斷、病患監測和康復，從而減少人為錯誤並改善治療效果。先進的影像處理、機器學習和數據分析技術的融合，實現了即時決策和個人化治療。隨著患者數量的增加、人手不足以及對微創手術需求的成長，人工智慧機器人技術正逐漸成為全球創新、高效且擴充性的醫療保健解決方案的關鍵組成部分。

預計在預測期內，工業機器人領域將呈現最高的複合年成長率。

在預測期內，由於製造業的快速普及，工業機器人領域預計將呈現最高的成長率。人工智慧的整合提高了複雜生產環境中的營運效率和柔軟性。配備機器學習演算法的機器人能夠適應動態工作流程，最佳化物料輸送，並在最大限度減少人工干預的情況下執行品質檢測。對智慧工廠日益成長的關注以及對擴充性自動化解決方案的需求，進一步推動了市場成長，使工業人工智慧驅動的機器人成為下一代製造業的關鍵工具。

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。這主要得益於中國、日本和韓國等國家對人工智慧機器人在製造業、物流和醫療應用領域的大量投資。政府支持智慧工廠和技術主導醫療解決方案的舉措進一步加速了市場滲透。此外，主要機器人製造商的存在以及人工智慧和工程領域人才的不斷湧現，也加速了該地區人工智慧機器人技術的應用，鞏固了亞太地區作為全球領先的人工智慧機器人創新中心的地位。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率。這是因為人工智慧、機器學習和感測器技術的持續進步正在推動先進機器人應用的發展，從自主生產線到人工智慧輔助手術，無所不包。人們對營運效率、勞動力最佳化和競爭優勢的日益重視，正在推動機器人的廣泛應用。加之良好的投資環境以及研究機構與產業界的密切合作，該地區的人工智慧驅動型機器人預計將快速成長，其成長速度將超過全球市場的平均水平。

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  • 區域分類
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    • 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：全球機器人人工智慧市場：按組件分類

  • 硬體
  • 軟體

第6章：全球機器人人工智慧市場：以部署方式分類

  • 現場
  • 雲

第7章：全球機器人人工智慧市場：按機器人類型分類

  • 工業機器人
  • 服務機器人
  • 協作機器人（cobots）
  • 自主移動機器人（AMR）
  • 人形機器人
  • 人工智慧無人機

第8章：全球機器人人工智慧市場：按技術分類

  • 機器學習
  • 深度學習
  • 電腦視覺
  • 自然語言處理
  • 情境意識
  • 邊緣運算

第9章：全球機器人人工智慧市場：按最終用戶分類

  • 衛生保健
  • 零售與電子商務
  • 製造業
  • 資訊科技/通訊
  • 車
  • 能源公用事業
  • 其他最終用戶

第10章：全球機器人人工智慧市場：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

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

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

Market Dynamics:

Driver:

Surging Demand for Automation

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

Restraint:

High Initial Investment

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

Opportunity:

Advances in Machine Learning & Computer Vision

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

Threat:

Technical Complexity

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

Covid-19 Impact:

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

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

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

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

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

Region with largest share:

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

Region with highest CAGR:

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

Key players in the market

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

Key Developments:

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

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

Components Covered:

  • Hardware
  • Software

Deployments Covered:

  • On Premise
  • Cloud

Robot Types Covered:

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

Technologies Covered:

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

End Users Covered:

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

Regions Covered:

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

What our report offers:

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

Free Customization Offerings:

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

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

Table of Contents

1 Executive Summary

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

2 Research Framework

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

3 Market Dynamics and Trend Analysis

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

4 Competitive and Strategic Assessment

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

5 Global AI in Robotics Market, By Component

  • 5.1 Hardware
  • 5.2 Software

6 Global AI in Robotics Market, By Deployment

  • 6.1 On Premise
  • 6.2 Cloud

7 Global AI in Robotics Market, By Robot Type

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

8 Global AI in Robotics Market, By Technology

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

9 Global AI in Robotics Market, By End User

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

10 Global AI in Robotics Market, By Geography

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

11 Strategic Market Intelligence

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

12 Industry Developments and Strategic Initiatives

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

13 Company Profiles

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

List of Tables

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

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