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市場調查報告書
商品編碼
2149622

邊緣人工智慧半導體市場預測（2034 年）—按半導體架構、邊緣設備、人工智慧工作負載、功耗概況、最終用戶和地區分類的全球分析

Edge AI Semiconductor Market Forecasts to 2034 - Global Analysis By Semiconductor Architecture, Edge Device, AI Workload, Power Profile, End User and Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

全球邊緣人工智慧半導體市場預計到 2026 年將達到 85 億美元，並在預測期內以 22.1% 的複合年成長率成長，到 2034 年將達到 420 億美元。

邊緣人工智慧半導體是指專為在邊緣設備或附近直接運行人工智慧工作負載而設計的處理器和積體電路，無需完全依賴集中式雲端基礎設施。這些半導體包括神經處理單元 (NPU)、支援人工智慧的微控制器、視覺處理器、人工智慧系統晶片(SoC) 和專用推理加速器。它們被應用於相機、工業設備、汽車、機器人、智慧家庭設備、醫療設備以及其他需要本地智慧的連網系統中。在邊緣處理人工智慧工作負載可以降低延遲和頻寬需求，並減少對持續雲端連線的依賴。即時電腦視覺、工業自動化、自主系統和智慧消費設備的日益普及正在推動市場需求。半導體開發商正致力於提升推理性能、能源效率、記憶體架構和整合安全性。異質架構正擴大將 CPU、GPU、NPU 和專用加速器整合到單一裝置中。

市場動態

對邊緣即時人工智慧處理的需求日益成長

對邊緣即時人工智慧處理日益成長的需求正在推動邊緣人工智慧半導體的普及，這些半導體無需雲端連接即可實現本地決策。人們對延遲、頻寬和隱私問題的日益關注也在推動邊緣人工智慧的採用。人工智慧在工業、汽車和消費領域的應用不斷擴展，也催生了對邊緣人工智慧處理器的需求。人工智慧模型最佳化技術的進步使得在功耗受限的邊緣設備上部署人工智慧成為可能。邊緣人工智慧開發平台的日益普及也為市場成長提供了支持。

功耗和性能限制

邊緣人工智慧設備的功耗和性能限制給半導體設計帶來了重大挑戰。邊緣設備上有限的運算資源會影響人工智慧模型的複雜性和準確性。邊緣人工智慧處理器的溫度控管難題也影響設備設計。經認證的邊緣人工智慧半導體供應有限，限制了其部署。邊緣人工智慧處理器的高昂開發成本也限制了其市場准入。

AI模型最佳化與新架構

人工智慧模型最佳化技術的進步使得在邊緣設備上運行更複雜的模型成為可能。新型邊緣人工智慧架構的開發正在提升效能和效率。邊緣人工智慧在新應用領域的拓展正在創造市場機會。邊緣人工智慧軟體和工具生態系統的不斷壯大，為市場成長提供了支撐。製程技術的進步則催生了性能更高的邊緣人工智慧處理器。

與雲端人工智慧和嵌入式處理器的競爭

與雲端人工智慧處理的競爭可能會限制邊緣人工智慧在某些應用領域的部署。與通用嵌入式處理器的競爭可能會限制對專用邊緣人工智慧半導體的需求。經濟壓力可能會影響對邊緣人工智慧的投資。技術複雜性可能會延緩部署進度。科技的快速發展會帶來技術過時的風險。

新型冠狀病毒（COVID-19）的影響：

新冠疫情加速了數位轉型和邊緣人工智慧的普及，推動了工業、醫療和消費應用領域對邊緣人工智慧半導體的需求。供應鏈中斷凸顯了邊緣處理在維持營運中的重要性。疫情後時期，對邊緣人工智慧能力的持續投資推動了市場成長。對即時洞察的日益重視也持續推動著邊緣人工智慧的普及。邊緣人工智慧半導體正日益被認為是智慧邊緣應用的關鍵要素。

在預測期內，邊緣人工智慧SoC細分市場預計將佔據最大的市場佔有率。

預計在預測期內，邊緣人工智慧SoC（系統級晶片）細分市場將佔據最大的市場佔有率。這是因為SoC整合了人工智慧處理和其他功能，可為經濟高效的邊緣設備提供支援。智慧相機和工業控制器的日益普及正在推動市場擴張。 SoC設計的進步正在提升人工智慧的效能和效率。成熟的供應商關係和應用專業知識鞏固了該細分市場的領先地位。邊緣人工智慧SoC是邊緣人工智慧半導體需求的主要驅動力。

在預測期內，視覺識別細分市場預計將呈現最高的複合年成長率。

在預測期內，視覺識別領域預計將呈現最高的成長率，這主要得益於邊緣應用中電腦視覺技術的日益普及。對智慧相機和基於視覺的工業自動化日益成長的需求也推動了該領域的成長。用於視覺辨識的邊緣人工智慧處理器不斷進步，提高了效能和效率。視覺人工智慧在新應用領域的拓展正在創造市場機會。視覺辨識在邊緣人工智慧應用的重要性日益凸顯。

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、韓國和日本龐大的電子製造地。該地區擁有許多主要的家用電子電器和工業自動化公司，這些公司正在廣泛部署邊緣人工智慧。對智慧型設備和工業IoT日益成長的需求正在推動邊緣人工智慧半導體的消費。政府對人工智慧和半導體製造的支持正在鞏固該地區的市場領先地位。電子產品生產的持續成長正在促進市場擴張。

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，這主要得益於電子製造業的持續成長和人工智慧的廣泛應用。中國、韓國和日本正在拓展邊緣人工智慧在消費和工業應用領域的能力。智慧基礎設施和工業自動化投資的增加正在加速市場需求。該地區人工智慧生態系統的發展也為市場成長提供了支持。

免費客製化服務：

所有購買此報告的客戶均可從以下免費自訂選項中選擇一項：

  • 企業概況
    • 對其他市場參與者（最多 3 家公司）進行全面分析
    • 對主要公司進行SWOT分析（最多3家公司）
  • 區域分類
    • 根據客戶要求，我們可以提供主要國家的市場估算和預測，以及複合年成長率（註：需經可行性確認）。
  • 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領先公司進行基準分析。

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
  • 主要公司市佔率分析
  • 產品基準評效和效能比較

第5章：全球邊緣人工智慧半導體市場：以半導體架構分類

  • 邊緣AI SoC
  • 用於邊緣人工智慧的NPU
  • 用於邊緣人工智慧的GPU
  • 用於邊緣人工智慧的MCU
  • 用於邊緣人工智慧的微處理器
  • 其他半導體架構

第6章：全球邊緣人工智慧半導體市場：按邊緣設備分類

  • 智慧型相機
  • 工業控制器
  • 機器人設備
  • 智慧感測器
  • 穿戴式裝置
  • 其他邊緣設備

第7章 全球邊緣人工智慧半導體市場：以人工智慧工作負載分類

  • 視覺識別
  • 語音辨識
  • 預測分析
  • 異常檢測
  • 自主決策
  • 其他人工智慧工作負載

第8章：全球邊緣人工智慧半導體市場：按功耗概況

  • 超低功耗
  • 低功耗
  • 中等功耗
  • 高功耗
  • 超高性能
  • 其他電源設定檔

第9章：全球邊緣人工智慧半導體市場：依最終用戶分類

  • 工業自動化供應商
  • 家用電子電器製造商
  • 智慧基礎設施供應商
  • 醫療技術提供者
  • 機器人公司
  • 其他最終用戶

第10章：全球邊緣人工智慧半導體市場：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
  • Qualcomm Incorporated
  • Intel Corporation
  • Advanced Micro Devices, Inc.
  • Arm Holdings plc
  • Hailo Technologies Ltd.
  • Himax Technologies, Inc.
  • Ambarella, Inc.
  • NXP Semiconductors NV
  • Texas Instruments Incorporated
  • Renesas Electronics Corporation
  • STMicroelectronics NV
  • MediaTek Inc.
  • Synaptics Incorporated
  • Horizon Robotics, Inc.
Product Code: SMRC40083

According to Stratistics MRC, the Global Edge AI Semiconductor Market is accounted for $8.5 billion in 2026 and is expected to reach $42.0 billion by 2034 growing at a CAGR of 22.1% during the forecast period. Edge AI Semiconductors are processors and integrated circuits designed to execute artificial intelligence workloads directly on or near edge devices rather than relying entirely on centralized cloud infrastructure. These semiconductors include neural processing units, AI-enabled microcontrollers, vision processors, AI system-on-chips, and specialized inference accelerators. They are used in cameras, industrial equipment, vehicles, robots, smart appliances, healthcare devices, and other connected systems requiring localized intelligence. Processing AI workloads at the edge can reduce latency, bandwidth requirements, and dependence on continuous cloud connectivity. Growing adoption of real-time computer vision, industrial automation, autonomous systems, and intelligent consumer devices is driving demand. Semiconductor developers are focusing on improving inference performance, energy efficiency, memory architecture, and integrated security. Heterogeneous architectures are increasingly combining CPUs, GPUs, NPUs, and specialized accelerators within a single device.

Market Dynamics

Driver:

Growing demand for real-time AI processing at the edge

Increasing demand for real-time AI processing at the edge is driving adoption of edge AI semiconductors that enable local decision-making without cloud connectivity. Growing concerns about latency, bandwidth, and privacy support edge AI adoption. Expansion of AI to industrial, automotive, and consumer applications creates demand for edge AI processors. Advances in AI model optimization enable deployment on power-constrained edge devices. Growing availability of edge AI development platforms supports market growth.

Restraint:

Power and performance constraints

Power and performance constraints for edge AI devices present significant challenges for semiconductor design. Limited computational resources on edge devices affect AI model complexity and accuracy. Thermal management challenges for edge AI processors affect device design. Limited availability of qualified edge AI semiconductors constrains adoption. High development costs for edge AI processors limit market entry.

Opportunity:

AI model optimization and new architectures

Advances in AI model optimization enable more complex models to run on edge devices. Development of new edge AI architectures improves performance and efficiency. Expansion of edge AI to new applications creates market opportunities. Growing ecosystem of edge AI software and tools supports market development. Advances in process technology enable more capable edge AI processors.

Threat:

Competition from cloud AI and embedded processors

Competition from cloud AI processing may limit edge AI adoption in certain applications. Competition from general-purpose embedded processors may limit demand for specialized edge AI semiconductors. Economic pressures may affect edge AI investment. Technology complexity may slow adoption timelines. Rapid technology evolution creates obsolescence risk.

Covid-19 Impact:

The COVID-19 pandemic accelerated digital transformation and edge AI adoption, driving demand for edge AI semiconductors in industrial, healthcare, and consumer applications. Supply chain disruptions highlighted the importance of edge processing for maintaining operations. The post-pandemic period has witnessed sustained investment in edge AI capabilities, supporting market growth. Growing focus on real-time insights continues driving edge AI adoption. Edge AI semiconductors are increasingly recognized as critical for intelligent edge applications.

The edge AI SoCs segment is expected to be the largest during the forecast period

The edge AI SoCs segment is expected to account for the largest market share during the forecast period as SoCs offer integrated AI processing with other functions for cost-effective edge devices. Growing adoption in smart cameras and industrial controllers drives market expansion. Advances in SoC design improve AI performance and efficiency. Established vendor relationships and application expertise support segment leadership. Edge AI SoCs are the primary driver of edge AI semiconductor demand.

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

Over the forecast period, the visual recognition segment is predicted to witness the highest growth rate driven by increasing adoption of computer vision in edge applications. Growing demand for smart cameras and vision-based industrial automation supports segment growth. Advances in edge AI processors for visual recognition improve performance and efficiency. Expansion of visual AI to new applications creates market opportunities. Visual recognition is increasingly critical for edge AI applications.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share owing to dominant electronics manufacturing base in China, South Korea, and Japan. The region hosts major consumer electronics and industrial automation companies with extensive edge AI adoption. Growing demand for smart devices and industrial IoT drives edge AI semiconductor consumption. Government support for AI and semiconductor manufacturing reinforces regional market leadership. Continued electronics production growth drives market expansion.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR driven by continued electronics manufacturing growth and AI adoption. China, South Korea, and Japan are expanding edge AI capabilities in consumer and industrial applications. Growing investment in smart infrastructure and industrial automation accelerates demand. Regional AI ecosystem development supports market growth.

Key players in the market

Some of the key players in the Edge AI Semiconductor Market include NVIDIA Corporation, Qualcomm Incorporated, Intel Corporation, Advanced Micro Devices, Inc., Arm Holdings plc, Hailo Technologies Ltd., Himax Technologies, Inc., Ambarella, Inc., NXP Semiconductors N.V., Texas Instruments Incorporated, Renesas Electronics Corporation, STMicroelectronics N.V., MediaTek Inc., Synaptics Incorporated, and Horizon Robotics, Inc.

Key Developments:

In August 2026, NVIDIA Corporation launched a new edge AI platform for industrial and robotics applications, offering improved performance and efficiency for real-time AI processing.

In April 2026, Qualcomm Incorporated introduced a new edge AI processor for smart cameras and IoT devices, featuring improved visual recognition capabilities.

In December 2025, Hailo Technologies Ltd. launched a new edge AI accelerator for industrial automation applications.

In June 2025, Ambarella, Inc. introduced a new edge AI SoC for smart city and retail applications.

In February 2025, NXP Semiconductors N.V. announced the launch of a new edge AI processor for automotive and industrial applications.

Semiconductor Architectures Covered:

  • Edge AI SoCs
  • Edge AI NPUs
  • Edge AI GPUs
  • Edge AI MCUs
  • Edge AI MPUs
  • Other Semiconductor Architectures

Edge Devices Covered:

  • Smart Cameras
  • Industrial Controllers
  • Robotic Devices
  • Smart Sensors
  • Wearable Devices
  • Other Edge Devices

AI Workloads Covered:

  • Visual Recognition
  • Speech Recognition
  • Predictive Analytics
  • Anomaly Detection
  • Autonomous Decision-Making
  • Other AI Workloads

Power Profiles Covered:

  • Ultra-Low Power
  • Low Power
  • Medium Power
  • High Power
  • Ultra-High Performance
  • Other Power Profiles

End Users Covered:

  • Industrial Automation Providers
  • Consumer Electronics Manufacturers
  • Smart Infrastructure Providers
  • Healthcare Technology Providers
  • Robotics Companies
  • 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 Edge AI Semiconductor Market, By Semiconductor Architecture

  • 5.1 Edge AI SoCs
  • 5.2 Edge AI NPUs
  • 5.3 Edge AI GPUs
  • 5.4 Edge AI MCUs
  • 5.5 Edge AI MPUs
  • 5.6 Other Semiconductor Architectures

6 Global Edge AI Semiconductor Market, By Edge Device

  • 6.1 Smart Cameras
  • 6.2 Industrial Controllers
  • 6.3 Robotic Devices
  • 6.4 Smart Sensors
  • 6.5 Wearable Devices
  • 6.6 Other Edge Devices

7 Global Edge AI Semiconductor Market, By AI Workload

  • 7.1 Visual Recognition
  • 7.2 Speech Recognition
  • 7.3 Predictive Analytics
  • 7.4 Anomaly Detection
  • 7.5 Autonomous Decision-Making
  • 7.6 Other AI Workloads

8 Global Edge AI Semiconductor Market, By Power Profile

  • 8.1 Ultra-Low Power
  • 8.2 Low Power
  • 8.3 Medium Power
  • 8.4 High Power
  • 8.5 Ultra-High Performance
  • 8.6 Other Power Profiles

9 Global Edge AI Semiconductor Market, By End User

  • 9.1 Industrial Automation Providers
  • 9.2 Consumer Electronics Manufacturers
  • 9.3 Smart Infrastructure Providers
  • 9.4 Healthcare Technology Providers
  • 9.5 Robotics Companies
  • 9.6 Other End Users

10 Global Edge AI Semiconductor 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 Qualcomm Incorporated
  • 13.3 Intel Corporation
  • 13.4 Advanced Micro Devices, Inc.
  • 13.5 Arm Holdings plc
  • 13.6 Hailo Technologies Ltd.
  • 13.7 Himax Technologies, Inc.
  • 13.8 Ambarella, Inc.
  • 13.9 NXP Semiconductors N.V.
  • 13.10 Texas Instruments Incorporated
  • 13.11 Renesas Electronics Corporation
  • 13.12 STMicroelectronics N.V.
  • 13.13 MediaTek Inc.
  • 13.14 Synaptics Incorporated
  • 13.15 Horizon Robotics, Inc.

List of Tables

  • Table 1 Global Edge AI Semiconductor Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Edge AI Semiconductor Market, By Semiconductor Architecture (2023-2034) ($MN)
  • Table 3 Global Edge AI Semiconductor Market, By Edge AI SoCs (2023-2034) ($MN)
  • Table 4 Global Edge AI Semiconductor Market, By Edge AI NPUs (2023-2034) ($MN)
  • Table 5 Global Edge AI Semiconductor Market, By Edge AI GPUs (2023-2034) ($MN)
  • Table 6 Global Edge AI Semiconductor Market, By Edge AI MCUs (2023-2034) ($MN)
  • Table 7 Global Edge AI Semiconductor Market, By Edge AI MPUs (2023-2034) ($MN)
  • Table 8 Global Edge AI Semiconductor Market, By Other Semiconductor Architectures (2023-2034) ($MN)
  • Table 9 Global Edge AI Semiconductor Market, By Edge Device (2023-2034) ($MN)
  • Table 10 Global Edge AI Semiconductor Market, By Smart Cameras (2023-2034) ($MN)
  • Table 11 Global Edge AI Semiconductor Market, By Industrial Controllers (2023-2034) ($MN)
  • Table 12 Global Edge AI Semiconductor Market, By Robotic Devices (2023-2034) ($MN)
  • Table 13 Global Edge AI Semiconductor Market, By Smart Sensors (2023-2034) ($MN)
  • Table 14 Global Edge AI Semiconductor Market, By Wearable Devices (2023-2034) ($MN)
  • Table 15 Global Edge AI Semiconductor Market, By Other Edge Devices (2023-2034) ($MN)
  • Table 16 Global Edge AI Semiconductor Market, By AI Workload (2023-2034) ($MN)
  • Table 17 Global Edge AI Semiconductor Market, By Visual Recognition (2023-2034) ($MN)
  • Table 18 Global Edge AI Semiconductor Market, By Speech Recognition (2023-2034) ($MN)
  • Table 19 Global Edge AI Semiconductor Market, By Predictive Analytics (2023-2034) ($MN)
  • Table 20 Global Edge AI Semiconductor Market, By Anomaly Detection (2023-2034) ($MN)
  • Table 21 Global Edge AI Semiconductor Market, By Autonomous Decision-Making (2023-2034) ($MN)
  • Table 22 Global Edge AI Semiconductor Market, By Other AI Workloads (2023-2034) ($MN)
  • Table 23 Global Edge AI Semiconductor Market, By Power Profile (2023-2034) ($MN)
  • Table 24 Global Edge AI Semiconductor Market, By Ultra-Low Power (2023-2034) ($MN)
  • Table 25 Global Edge AI Semiconductor Market, By Low Power (2023-2034) ($MN)
  • Table 26 Global Edge AI Semiconductor Market, By Medium Power (2023-2034) ($MN)
  • Table 27 Global Edge AI Semiconductor Market, By High Power (2023-2034) ($MN)
  • Table 28 Global Edge AI Semiconductor Market, By Ultra-High Performance (2023-2034) ($MN)
  • Table 29 Global Edge AI Semiconductor Market, By Other Power Profiles (2023-2034) ($MN)
  • Table 30 Global Edge AI Semiconductor Market, By End User (2023-2034) ($MN)
  • Table 31 Global Edge AI Semiconductor Market, By Industrial Automation Providers (2023-2034) ($MN)
  • Table 32 Global Edge AI Semiconductor Market, By Consumer Electronics Manufacturers (2023-2034) ($MN)
  • Table 33 Global Edge AI Semiconductor Market, By Smart Infrastructure Providers (2023-2034) ($MN)
  • Table 34 Global Edge AI Semiconductor Market, By Healthcare Technology Providers (2023-2034) ($MN)
  • Table 35 Global Edge AI Semiconductor Market, By Robotics Companies (2023-2034) ($MN)
  • Table 36 Global Edge AI Semiconductor Market, By Other End Users (2023-2034) ($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.