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市場調查報告書
商品編碼
2007759

人工智慧機器人晶片市場預測至2034年——按晶片類型、組件、技術節點、應用、最終用戶和地區分類的全球分析

AI Robotics Chips Market Forecasts to 2034 - Global Analysis By Chip Type (CPU, GPU, FPGA, ASIC, Neural Processing Units (NPUs) and Other Chip Types), Component, Technology Node, 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，全球人工智慧機器人晶片市場規模將達到 80 億美元，並在預測期內以 31% 的複合年成長率成長，到 2034 年將達到 700 億美元。

人工智慧機器人晶片是專為機器人系統中的人工智慧功能而設計的專用半導體處理器。這些晶片能夠實現機器人的即時數據處理、電腦視覺、運動控制和決策。它們針對低延遲、高效率和邊緣運算進行了最佳化，使機器人能夠在不嚴重依賴雲端連接的情況下自主運作。應用領域包括工業自動化、自動駕駛汽車、服務機器人和無人機。對智慧自動化日益成長的需求正在推動人工智慧晶片的創新，使其成為下一代機器人和智慧機器的關鍵組件。

各行業自動化技術的進步

在製造業、物流業、醫療保健業和農業等領域，機器人技術的應用正迅速成長，以提高生產力和效率。人工智慧晶片在機器人系統中發揮著至關重要的作用，能夠實現即時決策、視覺處理和智慧控制。這些晶片支援機器學習、目標檢測和自主導航等高級功能。對智慧和自主系統日益成長的需求進一步加速了人工智慧機器人晶片的應用。因此，工業自動化的普及預計將強勁推動市場成長。

複雜晶片的設計與開發

設計專用人工智慧晶片需要先進的半導體技術、大量的研發投入和精密的晶片設計工具。將人工智慧功能整合到緊湊、節能的晶片中，則帶來了更多技術挑戰。開發週期可能很長，並且需要多個測試和檢驗階段。此外，在降低功耗的同時保持效能，也增加了設計的複雜性。因此，這些挑戰可能會限制創新速度和市場擴張。

自主系統和無人機的擴展

自主機器人和無人機高度依賴人工智慧晶片進行導航、障礙物檢測和即時數據處理。這些技術正日益廣泛地應用於國防、農業、監控和物流等領域。隨著自主應用的發展，對高效能、低延遲處理單元的需求也日益成長。此外，人工智慧演算法的不斷改進也提升了機器人系統的效能。因此，自主技術的快速發展預計將顯著推動對人工智慧機器人晶片的需求。

半導體供應鏈中斷

全球半導體供應鏈極為複雜，極易受到地緣政治緊張局勢、貿易限制和原料短缺的影響。晶片製造或元件供應的任何中斷都可能影響生產計劃並導致成本增加。此外，對少數半導體製造地的依賴也可能造成供應瓶頸。這些挑戰可能會影響用於機器人應用的AI晶片的供應。因此，供應鏈不穩定可能會阻礙市場成長。

新冠疫情的影響：

新冠疫情對人工智慧機器人晶片市場產生了重大影響。疫情初期，半導體生產和全球供應鏈受到衝擊，晶片供應受到影響。然而，疫情也加速了各行各業對自動化和機器人技術的應用。對非接觸式操作、遠端監控和自動化流程日益成長的需求，擴大了對人工智慧機器人系統的需求。醫療保健、物流和製造業等行業越來越依賴機器人技術來維持營運。自動化程度的提高進一步刺激了對人工智慧機器人晶片的需求。

在預測期內，加工單元部分預計將佔據最大佔有率。

處理單元是人工智慧機器人系統的核心組件，因此預計在預測期內將佔據最大的市場佔有率。這些單元負責執行機器學習演算法、處理資料和做出決策。高效能處理器使機器人能夠執行影像識別和即時分析等複雜任務。隨著機器人應用變得越來越複雜，對先進處理能力的需求也不斷成長。此外，晶片結構的持續創新正在提高處理效率和效能。

在預測期內，自主機器人領域預計將呈現最高的複合年成長率。

在預測期內，由於機器人和人工智慧技術的快速發展，自主機器人領域預計將呈現最高的成長率。自主機器人正被各行各業廣泛應用於物料輸送、偵測和配送等任務。這些系統需要先進的人工智慧晶片來進行即時決策和導航。對自動化、勞動效率和工作場所安全日益成長的需求正在推動自主機器人的應用。此外，智慧工廠和工業4.0計畫的擴展也進一步促進了這一成長。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率，這主要得益於大型半導體公司、人工智慧技術供應商和機器人製造商的強大實力。對研發的大量投入正在推動人工智慧晶片設計的創新。此外，整個產業對自動化技術的早期應用也促進了市場成長。政府措施和私營部門對先進技術的投資進一步鞏固了市場格局。

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，這主要得益於快速的工業化進程和電子製造業的強勁成長。中國、日本和韓國等國家是半導體生產和機器人研發的主要中心。製造業和物流業自動化程度的不斷提高，正在推動對人工智慧機器人晶片的需求。該地區各國政府也積極推動數位轉型和智慧產業計畫。此外，對人工智慧和機器人技術的投資增加也為市場擴張提供了支持。

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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：全球人工智慧機器人晶片市場：按晶片類型分類

  • CPU
  • GPU
  • FPGA
  • ASIC
  • 神經處理單元（NPU）
  • 其他類型的噴嘴

第6章 全球人工智慧機器人晶片市場：按組件分類

  • 處理單元
  • 記憶體模組
  • 聯繫
  • 電源管理積體電路
  • 其他規則

第7章 全球人工智慧機器人晶片市場：依製程技術分類

  • 7奈米或更小
  • 10nm～14nm
  • 16nm～28nm
  • 28奈米或以上

第8章：全球人工智慧與機器人晶片市場：按應用分類

  • 工業機器人
  • 服務機器人
  • 自主機器人
  • 人形機器人
  • 農業機器人
  • 其他用途

第9章 全球人工智慧機器人晶片市場：按最終用戶分類

  • 製造業
  • 衛生保健
  • 物流/倉儲業
  • 國防與安全
  • 零售
  • 其他最終用戶

第10章：全球人工智慧機器人晶片市場：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
  • Intel Corporation
  • Advanced Micro Devices, Inc.
  • Qualcomm Incorporated
  • Samsung Electronics Co., Ltd.
  • Taiwan Semiconductor Manufacturing Company
  • Broadcom Inc.
  • Texas Instruments Incorporated
  • STMicroelectronics NV
  • NXP Semiconductors NV
  • Renesas Electronics Corporation
  • MediaTek Inc.
  • Apple Inc.
  • Google LLC
  • Graphcore Ltd.
  • Horizon Robotics
  • Cambricon Technologies
Product Code: SMRC34631

According to Stratistics MRC, the Global AI Robotics Chips Market is accounted for $8 billion in 2026 and is expected to reach $70 billion by 2034 growing at a CAGR of 31% during the forecast period. AI Robotics Chips are specialized semiconductor processors designed to power artificial intelligence capabilities in robotic systems. These chips enable real-time data processing, computer vision, motion control, and decision-making in robots. They are optimized for low latency, high efficiency, and edge computing, allowing robots to operate autonomously without relying heavily on cloud connectivity. Applications include industrial automation, autonomous vehicles, service robots, and drones. Increasing demand for intelligent automation is driving innovation in AI chips, making them essential components in next-generation robotics and smart machines.

Market Dynamics:

Driver:

Increasing automation across industries

Sectors such as manufacturing, logistics, healthcare, and agriculture are rapidly integrating robotics to enhance productivity and efficiency. AI-enabled chips play a critical role in enabling real-time decision-making, vision processing, and intelligent control in robotic systems. These chips support advanced functionalities such as machine learning, object detection, and autonomous navigation. The growing demand for smart and autonomous systems is further accelerating the deployment of AI robotics chips. Therefore, the widespread adoption of industrial automation is expected to strongly propel market growth.

Restraint:

Complex chip design and development

Designing AI-specific chips requires advanced semiconductor expertise, high research and development investments, and sophisticated design tools. The integration of AI capabilities into compact and energy-efficient chips presents additional technical challenges. Development cycles can be lengthy, involving multiple testing and validation stages. Additionally, maintaining performance while reducing power consumption adds to design complexity. Consequently, these challenges may limit the speed of innovation and market expansion.

Opportunity:

Expansion in autonomous systems and drones

Autonomous robots and unmanned aerial vehicles rely heavily on AI chips for navigation, obstacle detection, and real-time data processing. These technologies are increasingly being used in sectors such as defense, agriculture, surveillance, and logistics. The demand for high-performance, low-latency processing units is growing with the advancement of autonomous applications. Furthermore, continuous improvements in AI algorithms are enhancing the capabilities of robotic systems. Therefore, the rapid expansion of autonomous technologies is expected to drive significant demand for AI robotics chips.

Threat:

Supply chain disruptions in semiconductors

The global semiconductor supply chain is highly complex and sensitive to geopolitical tensions, trade restrictions, and raw material shortages. Any disruption in chip manufacturing or component supply can impact production timelines and increase costs. Additionally, dependence on a limited number of semiconductor manufacturing hubs can create supply bottlenecks. These challenges may affect the availability of AI chips for robotics applications. As a result, supply chain instability could hinder market growth.

Covid-19 Impact:

The COVID-19 pandemic had a notable impact on the AI Robotics Chips Market. During the initial phase, semiconductor production and global supply chains experienced disruptions, affecting chip availability. However, the pandemic also accelerated the adoption of automation and robotics across industries. Increased demand for contactless operations, remote monitoring, and automated processes boosted the need for AI-enabled robotic systems. Industries such as healthcare, logistics, and manufacturing increasingly relied on robotics to maintain operations. This surge in automation created additional demand for AI robotics chips.

The processing units segment is expected to be the largest during the forecast period

The processing units segment is expected to account for the largest market share during the forecast period as it forms the core component of AI-enabled robotic systems. These units are responsible for executing machine learning algorithms, data processing, and decision-making functions. High-performance processors enable robots to perform complex tasks such as image recognition and real-time analytics. The increasing complexity of robotic applications is driving demand for advanced processing capabilities. Additionally, continuous innovation in chip architecture is enhancing processing efficiency and performance.

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

Over the forecast period, the autonomous robots segment is predicted to witness the highest growth rate due to rapid advancements in robotics and artificial intelligence technologies. Autonomous robots are being widely adopted across industries for tasks such as material handling, inspection, and delivery. These systems require advanced AI chips for real-time decision-making and navigation. Increasing demand for automation, labor efficiency, and operational safety is driving the adoption of autonomous robots. Additionally, the expansion of smart factories and Industry 4.0 initiatives is further supporting growth.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share owing to the region has a strong presence of leading semiconductor companies, AI technology providers, and robotics manufacturers. Significant investments in research and development are driving innovation in AI chip design. Additionally, early adoption of automation technologies across industries supports market growth. Government initiatives and private sector investments in advanced technologies further strengthen the market landscape.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR driven by rapid industrialization and strong growth in electronics manufacturing. Countries such as China, Japan, and South Korea are major hubs for semiconductor production and robotics development. Increasing adoption of automation in manufacturing and logistics is driving demand for AI robotics chips. Governments in the region are also promoting digital transformation and smart industry initiatives. Additionally, expanding investments in AI and robotics technologies are supporting market expansion.

Key players in the market

Some of the key players in AI Robotics Chips Market include NVIDIA Corporation, Intel Corporation, Advanced Micro Devices, Inc., Qualcomm Incorporated, Samsung Electronics Co., Ltd., Taiwan Semiconductor Manufacturing Company, Broadcom Inc., Texas Instruments Incorporated, STMicroelectronics N.V., NXP Semiconductors N.V., Renesas Electronics Corporation, MediaTek Inc., Apple Inc., Google LLC, Graphcore Ltd., Horizon Robotics and Cambricon Technologies.

Key Developments:

In January 2026, Intel signed a formal cooperation memorandum with JAKA Robotics to establish a deep strategic partnership centered on "computing power and operational capability integration" for embodied AI applications. The collaboration focuses on developing customized technology integrations for industrial manufacturing and commercial service scenarios using Intel Core Ultra processors to create rapidly deployable intelligent robotics solutions.

In September 2025, NVIDIA launched the Newton open-source physics engine in collaboration with Google DeepMind and Disney Research to enable more accurate simulation of complex robotic movements, such as walking on uneven terrain or manipulating delicate objects.

Chip Types Covered:

  • CPU
  • GPU
  • FPGA
  • ASIC
  • Neural Processing Units (NPUs)
  • Other Chip Types

Components Covered:

  • Processing Units
  • Memory Modules
  • Connectivity ICs
  • Power Management ICs
  • Other Components

Technology Node Covered:

  • 7nm and Below
  • 10nm-14nm
  • 16nm-28nm
  • Above 28nm

Applications Covered:

  • Industrial Robots
  • Service Robots
  • Autonomous Robots
  • Humanoid Robots
  • Agricultural Robots
  • Other Applications

End Users Covered:

  • Manufacturing
  • Healthcare
  • Logistics & Warehousing
  • Defense & Security
  • Retail
  • 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 Robotics Chips Market, By Chip Type

  • 5.1 CPU
  • 5.2 GPU
  • 5.3 FPGA
  • 5.4 ASIC
  • 5.5 Neural Processing Units (NPUs)
  • 5.6 Other Chip Types

6 Global AI Robotics Chips Market, By Component

  • 6.1 Processing Units
  • 6.2 Memory Modules
  • 6.3 Connectivity ICs
  • 6.4 Power Management ICs
  • 6.5 Other Components

7 Global AI Robotics Chips Market, By Technology Node

  • 7.1 7nm and Below
  • 7.2 10nm-14nm
  • 7.3 16nm-28nm
  • 7.4 Above 28nm

8 Global AI Robotics Chips Market, By Application

  • 8.1 Industrial Robots
  • 8.2 Service Robots
  • 8.3 Autonomous Robots
  • 8.4 Humanoid Robots
  • 8.5 Agricultural Robots
  • 8.6 Other Applications

9 Global AI Robotics Chips Market, By End User

  • 9.1 Manufacturing
  • 9.2 Healthcare
  • 9.3 Logistics & Warehousing
  • 9.4 Defense & Security
  • 9.5 Retail
  • 9.6 Other End Users

10 Global AI Robotics Chips 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 Intel Corporation
  • 13.3 Advanced Micro Devices, Inc.
  • 13.4 Qualcomm Incorporated
  • 13.5 Samsung Electronics Co., Ltd.
  • 13.6 Taiwan Semiconductor Manufacturing Company
  • 13.7 Broadcom Inc.
  • 13.8 Texas Instruments Incorporated
  • 13.9 STMicroelectronics N.V.
  • 13.10 NXP Semiconductors N.V.
  • 13.11 Renesas Electronics Corporation
  • 13.12 MediaTek Inc.
  • 13.13 Apple Inc.
  • 13.14 Google LLC
  • 13.15 Graphcore Ltd.
  • 13.16 Horizon Robotics
  • 13.17 Cambricon Technologies

List of Tables

  • Table 1 Global AI Robotics Chips Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global AI Robotics Chips Market, By Chip Type (2023-2034) ($MN)
  • Table 3 Global AI Robotics Chips Market, By CPU (2023-2034) ($MN)
  • Table 4 Global AI Robotics Chips Market, By GPU (2023-2034) ($MN)
  • Table 5 Global AI Robotics Chips Market, By FPGA (2023-2034) ($MN)
  • Table 6 Global AI Robotics Chips Market, By ASIC (2023-2034) ($MN)
  • Table 7 Global AI Robotics Chips Market, By Neural Processing Units (NPUs) (2023-2034) ($MN)
  • Table 8 Global AI Robotics Chips Market, By Other Chip Types (2023-2034) ($MN)
  • Table 9 Global AI Robotics Chips Market, By Component (2023-2034) ($MN)
  • Table 10 Global AI Robotics Chips Market, By Processing Units (2023-2034) ($MN)
  • Table 11 Global AI Robotics Chips Market, By Memory Modules (2023-2034) ($MN)
  • Table 12 Global AI Robotics Chips Market, By Connectivity ICs (2023-2034) ($MN)
  • Table 13 Global AI Robotics Chips Market, By Power Management ICs (2023-2034) ($MN)
  • Table 14 Global AI Robotics Chips Market, By Other Components (2023-2034) ($MN)
  • Table 15 Global AI Robotics Chips Market, By Technology Node (2023-2034) ($MN)
  • Table 16 Global AI Robotics Chips Market, By 7nm and Below (2023-2034) ($MN)
  • Table 17 Global AI Robotics Chips Market, By 10nm-14nm (2023-2034) ($MN)
  • Table 18 Global AI Robotics Chips Market, By 16nm-28nm (2023-2034) ($MN)
  • Table 19 Global AI Robotics Chips Market, By Above 28nm (2023-2034) ($MN)
  • Table 20 Global AI Robotics Chips Market, By Application (2023-2034) ($MN)
  • Table 21 Global AI Robotics Chips Market, By Industrial Robots (2023-2034) ($MN)
  • Table 22 Global AI Robotics Chips Market, By Service Robots (2023-2034) ($MN)
  • Table 23 Global AI Robotics Chips Market, By Autonomous Robots (2023-2034) ($MN)
  • Table 24 Global AI Robotics Chips Market, By Humanoid Robots (2023-2034) ($MN)
  • Table 25 Global AI Robotics Chips Market, By Agricultural Robots (2023-2034) ($MN)
  • Table 26 Global AI Robotics Chips Market, By Other Applications (2023-2034) ($MN)
  • Table 27 Global AI Robotics Chips Market, By End User (2023-2034) ($MN)
  • Table 28 Global AI Robotics Chips Market, By Manufacturing (2023-2034) ($MN)
  • Table 29 Global AI Robotics Chips Market, By Healthcare (2023-2034) ($MN)
  • Table 30 Global AI Robotics Chips Market, By Logistics & Warehousing (2023-2034) ($MN)
  • Table 31 Global AI Robotics Chips Market, By Defense & Security (2023-2034) ($MN)
  • Table 32 Global AI Robotics Chips Market, By Retail (2023-2034) ($MN)
  • Table 33 Global AI Robotics Chips Market, 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.