報告摘要

The Global Edge AI Hardware Market was valued at USD 26,541.44 million in 2025 and is projected to reach USD 133,252.46 million by 2035. The market is expected to expand at a robust CAGR of 17.6% during the forecast period, driven by growing demand for real-time AI processing at the edge. Rising Adoption of Autonomous Systems Across Industries More autonomous vehicles, logistics drones, collaborative robots, and surgical systems are being rolled out that rely on specialized edge AI hardware to carry out real-time, low-latency inference. Such devices require high-performance on-device processing, compliance with safety standards, and energy-efficient operation. Therefore, the use of dedicated AI accelerators is a must. Segment-Wise Market Insights By Edge Layer • MicrEdge: Enables ultra-fast processing directly at sensors. • Deep Edge: Supports localized AI workloads near devices. • Meta Edge: Coordinates intelligence across distributed edge networks. By Processor Type • CPUs (AI-optimized): Provide versatile computing for AI applications. • GPUs (Edge GPUs): Accelerate parallel AI and vision workloads. • NPUs (Neural Processing Units): Deliver efficient neural network inference. • TPUs (Tensor Processing Units): Optimize tensor-based AI computations efficiently. • FPGAs (AI-configurable acceleration): Offer flexible acceleration for evolving workloads. • ASICs (Application-Specific AI Chips): Enable high-performance dedicated AI processing. • Vision Processing Units (VPUs): Enhance computer vision and imaging tasks. • DSPs (Digital Signal Processors): Improve real-time signal processing capabilities. By Heterogeneous Architecture • CPU + GPU Integration: Balances general and parallel processing. • CPU + NPU Integration: Enhances AI inference with efficiency. • GPU + NPU Hybrid SoCs: Supports demanding AI and graphics workloads. • CPU + FPGA Combinations: Combines flexibility with processing power. • ASIC + NPU Architectures: Maximizes AI performance and power efficiency. • Multi-NPU AI SoCs: Handles multiple AI tasks simultaneously. • Chiplet-Based AI Architectures: Improves scalability and design flexibility. • 2.5D or 3D Heterogeneous Integration: Increases performance through advanced packaging. By Hybrid Computing Solutions • AI SoCs with Dedicated Inference Engines: Deliver optimized AI execution performance. • Reconfigurable AI Hardware: Adapts efficiently to changing workloads. • Neuromorphic Processors: Mimic brain-like processing for efficiency. • Edge AI Accelerators with Low-Power AI Cores: Enable energy-efficient edge intelligence. • AI-Enabled Network Processors: Improve intelligent network traffic management. • Hybrid CPU–AI Accelerator Modules: Combine computing versatility with acceleration. • AI Co-Processors Integrated with Storage or Network Controllers: Enhance system-wide AI performance. By End Use Industry • Manufacturing and Industry 4.0: Drives automation and predictive maintenance. • Automotive and Mobility: Supports autonomous and connected transportation. • Telecommunications: Enhances network optimization and edge analytics. • Healthcare and Medical Devices: Enables intelligent diagnostics and monitoring. • Retail and Consumer Electronics: Improves personalized user experiences. • Energy and Utilities: Strengthens smart grid and asset management. • Aerospace and Defence: Supports mission-critical autonomous systems. • Others: Expands adoption across diverse emerging sectors. North America and Europe continue to lead the Global Edge AI Hardware Market as they boast highly advanced semiconductor ecosystems and industrial automation, along with the widespread adoption of AI. Meanwhile, the Asia-Pacific region is rapidly developing and, thanks to its digital transformation journey and electronics manufacturing capabilities, it has become the fastest-growing area. Gradually, South America and the Middle East & Africa are coming up as more investments in smart infrastructure, connected devices, digital modernization, etc. take place. Strengthening Edge AI Processing Capabilities In March 2026, Texas Instruments Incorporated launched the MSPM0G5187 and AM13Ex microcontrollers with the TinyEngine NPU that drastically improve edge AI processing capacity. The launch is a green light for the development of healthcare wearable devices, smart electrical systems, and robots through on-device AI inference that is both efficient and low in power consumption. Expansion of On-Device Generative AI As large language models continue to be compressed and quantized, their capability to perform complex AI tasks on consumer and industrial edge devices is dramatically increasing. Therefore, the transformation of edge AI hardware from performing simple inference to natural language and generative AI applications is taking place on an enormous scale. Key Report Attributes • Market Size 2025: USD 26,541.44 Million • Market Size 2035: USD 133,252.46 Million • CAGR (2025-2035): 17.6% • Base Year: 2024 • Market Forecast Period: 2025-2035 Industry Segmentations Growth • By Edge Layer: MicrEdge - 17.6%, Deep Edge - 17.0%. • By Processor Type: CPUs (AI-optimized) - 16.1%, GPUs (Edge GPUs) - 17.6%. • By Heterogeneous Architecture: CPU + GPU Integration - 16.6%, CPU + NPU Integration - 17.2%. • By Hybrid Computing Solutions: AI SoCs with dedicated inference engines - 18.0%, Reconfigurable AI hardware - 16.4%. • By End Use Industry: Manufacturing and Industry 4.0 - 17.2%, Automotive and Mobility - 18.8%.

目錄 Table of Contents

TABLE OF CONTENTS 1 EXECUTIVE SUMMARY ......... 22 2 MARKET INTRODUCTION ...... 25 2.1 DEFINITION .......................... 25 2.2 SCOPE OF THE STUDY ...... 25 2.3 RESEARCH OBJECTIVE .... 25 2.4 MARKET STRUCTURE ...... 26 3 RESEARCH METHODOLOGY .................................. 27 3.1 OVERVIEW ............................ 27 3.2 DATA FLOW .......................... 29 3.2.1 DATA MINING PROCESS ........................... 29 3.3 PURCHASED DATABASE: ................................... 30 3.4 SECONDARY SOURCES: .... 31 3.4.1 SECONDARY RESEARCH DATA FLOW: ....... 32 3.5 PRIMARY RESEARCH: ....... 33 3.5.1 PRIMARY RESEARCH DATA FLOW: ........... 34 3.5.2 PRIMARY RESEARCH: NUMBER OF INTERVIEWS CONDUCTED ..... 35 3.5.3 PRIMARY RESEARCH: REGIONAL COVERAGE .............................. 35 3.6 APPROACHES FOR MARKET SIZE ESTIMATION: ....................... 36 3.6.1 REVENUE ANALYSIS APPROACH ............... 36 3.7 DATA FORECASTING......... 37 3.7.1 DATA FORECASTING TECHNIQUE .............. 37 3.8 DATA MODELING ................ 38 3.8.1 MICROECONOMIC FACTOR ANALYSIS: ...... 38 3.8.2 DATA MODELING: ..................................... 39 3.9 TEAMS AND ANALYST CONTRIBUTION ..... 41 4 MARKET DYNAMICS .............. 43 4.1 INTRODUCTION ................... 43 4.2 DRIVERS ................................. 44 4.2.1 GROWTH IN AIOT DEVICES AND INDUSTRIAL AUTOMATION ......... 44 4.2.2 AUTONOMOUS VEHICLE AND ROBOTICS PLATFORM PROLIFERATION ............................ 44 4.2.3 ENTERPRISE DIGITAL TRANSFORMATION AND REAL-TIME OPERATIONAL INTELLIGENCE ................................. 45 4.2.4 MATURATION OF DEDICATED EDGE AI SILICON ECOSYSTEMS ..... 45 4.3 RESTRAINTS ........................ 47 4.3.1 HIGH NRE INVESTMENT AND SILICON DESIGN COMPLEXITY ....... 47 4.3.2 POWER AND THERMAL LIMITATIONS IN EMBEDDED ENVIRONMENTS ............................ 47 4.3.3 GEOPOLITICAL RISK AND SEMICONDUCTOR SUPPLY CHAIN CONCENTRATION .............. 48 4.4 OPPORTUNITY ..................... 49 4.4.1 HEALTHCARE EDGE AI: REMOTE DIAGNOSTICS AND WEARABLE INTELLIGENCE ............. 49 4.4.2 SMART CITY AND INTELLIGENT INFRASTRUCTURE CAPITAL PROGRAMMES .................. 49 4.4.3 ON-DEVICE GENERATIVE AI AND PRIVATE LLM INFERENCE AT THE EDGE ...................... 50 4.4.4 EMERGING MARKET INFRASTRUCTURE LEAPFROGGING VIA EDGE-NATIVE AI ................ 50 4.4.5 DEFENCE AND NATIONAL SECURITY SOVEREIGN AI HARDWARE PROGRAMMES ............. 50 4.5 IMPACT OF TRADE TARIFFS ............................ 52 4.5.1 IMPACT ON OVERALL SEMICONDUCTORS ................................... 52 4.5.2 IMPACT ON GLOBAL EDGE AI HARDWARE MARKET ..................... 52 4.5.3 IMPACT ON SUPPLY CHAIN OF EDGE AI HARDWARE MARKET ...... 52 4.5.4 IMPACT ON MARKET DEMAND OF EDGE AI HARDWARE MARKET ................................... 53 4.5.5 IMPACT ON PRICING OF EDGE AI HARDWARE MARKET ................ 53 5 MARKET FACTOR ANALYSIS .................................. 55 5.1 SUPPLY CHAIN ANALYSIS ............................... 55 5.1.1 RAW MATERIALS, SPECIALTY CHEMICALS, AND SUBSTRATE PROCUREMENT ................ 55 5.1.2 CHIP ARCHITECTURE DESIGN AND ADVANCED WAFER FABRICATION ............................ 56 5.1.3 ADVANCED PACKAGING, MEMORY INTEGRATION, AND ELECTRICAL TESTING ............... 56 5.1.4 BOARD-LEVEL ASSEMBLY, MODULE MANUFACTURING, AND COMPONENT INTEGRATION ................................. 56 5.1.5 SYSTEM INTEGRATION, SOFTWARE ENABLEMENT, AND END-USER DEPLOYMENT .......... 57 5.2 PORTER'S FIVE FORCES MODEL ..................... 58 5.2.1 THREAT OF NEW ENTRANTS (MODERATE) .................................. 59 5.2.2 BARGAINING POWER OF SUPPLIERS (HIGH) ................................ 59 5.2.3 BARGAINING POWER OF BUYERS (MODERATE) ............................ 59 5.2.4 THREAT OF SUBSTITUTES (MODERATE) .... 60 5.2.5 INTENSITY OF RIVALRY (HIGH) ................. 60 5.3 PRICING & REVENUE INTELLIGENCE ........... 61 5.3.1 PRICING MODELS AND STRUCTURES (ONE-TIME, SUBSCRIPTION, USAGE-BASED) .......... 61 5.3.1.1 ONE-TIME (CAPEX) HARDWARE SALES ............................... 61 5.3.1.2 SUBSCRIPTION & SOFTWARE-ENABLED HARDWARE ............ 61 5.3.1.3 USAGE-BASED & AS-A-SERVICE MODELS ............................. 61 5.3.2 AVERAGE SELLING PRICE (ASP) TRENDS AND BENCHMARKING ..................................... 62 5.3.3 REGIONAL PRICING VARIATIONS AND LOCALIZATION STRATEGIES ............................... 62 5.3.4 TIERED PRICING AND FEATURE-BASED PRICING ANALYSIS .......... 63 5.3.5 DYNAMIC AND AI-DRIVEN PRICING STRATEGIES.......................... 64 5.3.6 PRICE SENSITIVITY AND ELASTICITY ANALYSIS .......................... 64 5.3.7 DISCOUNTING, BUNDLING, AND PROMOTIONAL PRICING TRENDS ................................. 65 5.4 COST STRUCTURE & ECONOMICS .................. 66 5.4.1 COST BREAKDOWN ANALYSIS .................. 66 5.4.2 TOTAL COST OF OWNERSHIP (TCO) ANALYSIS ............................ 67 5.4.3 LIFECYCLE COST ANALYSIS (CAPEX VS OPEX) ............................ 68 5.4.4 COST OPTIMIZATION AND MARGIN IMPROVEMENT STRATEGIES................................... 68 5.4.5 ECONOMIES OF SCALE AND LEARNING CURVE EFFECTS ............. 69 5.4.6 SUPPLY CHAIN COST DRIVERS AND VOLATILITY IMPACT ............ 69 5.5 COMPETITIVE & MARKET INTELLIGENCE ................................... 70 5.5.1 COMPETITIVE PRICING POSITIONING AND PRICE WARS ANALYSIS ................................ 70 5.5.2 SUBSTITUTE AND ALTERNATIVE TECHNOLOGY COST COMPARISON.............................. 71 5.5.3 VENDOR PRICING STRATEGIES AND NEGOTIATION LEVERAGE ..... 71 5.5.4 ENTRY BARRIER ANALYSIS BASED ON COST AND PRICING .......... 72 5.6 CUSTOMER & DEMAND INTELLIGENCE ....... 73 5.6.1 WILLINGNESS-TO-PAY (WTP) ASSESSMENT ................................ 73 5.6.2 PRICE–PERFORMANCE RATIO BENCHMARKING .......................... 74 5.6.3 BUYER PROCUREMENT BEHAVIOR AND CONTRACTING TRENDS .................................... 75 5.7 STRATEGIC & FORWARD-LOOKING INTELLIGENCE .................. 76 5.7.1 FUTURE PRICING OUTLOOK AND FORECAST SCENARIOS ............. 76 5.7.1.1 SCENARIO A: ACCELERATED COMMODITIZATION (BASE CASE, 60% PROBABILITY) .................................. 76 5.7.1.2 SCENARIO B: SUPPLY CONSTRAINT INFLATION (UPSIDE SCENARIO, 25% PROBABILITY) .......................... 76 5.7.1.3 SCENARIO C: DISRUPTIVE TECHNOLOGY RESET (DOWNSIDE SCENARIO, 15% PROBABILITY) .................... 76 5.7.2 COST REDUCTION ROADMAP AND TECHNOLOGY IMPACT ........... 77 5.7.3 MONETIZATION OPPORTUNITIES AND NEW REVENUE STREAMS ................................... 77 5.7.4 PRICING RISK ASSESSMENT AND MITIGATION STRATEGIES ........ 78 6 GLOBAL EDGE AI HARDWARE MARKET, BY EDGE LAYER .................... 82 6.1 INTRODUCTION ................... 82 6.2.1 MICROCONTROLLERS (MCUS) WITH AI ACCELERATION ............... 84 6.2.2 AI-AI-ENABLED PROCESSORS .................... 84 6.2.3 AI-ENABLED SENSORS (VISION, AUDIO, MOTION) ........................ 85 6.2.4 EDGE AI SOCS FOR WEARABLES................ 85 6.2.5 INDUSTRIAL SENSOR NODES .................... 85 6.2.6 SMART CAMERAS (ON-DEVICE INFERENCE) ................................ 86 6.2.7 EMBEDDED AI MODULES FOR MEDICAL DEVICES ......................... 86 6.3.1 SMARTPHONE AI CHIPSETS (INTEGRATED NPUS) ....................... 86 6.3.2 AI-ENABLED PLCS (PROGRAMMABLE LOGIC CONTROLLERS) ....... 87 6.3.3 INDUSTRIAL GATEWAYS WITH AI ACCELERATION ....................... 87 6.3.4 ROBOTICS CONTROLLERS WITH ONBOARD AI ............................. 87 6.3.5 EDGE AI MODULES FOR DRONES ............... 88 6.3.6 RETAIL EDGE SYSTEMS (SMART POS, KIOSKS) ............................ 88 6.3.7 AUTOMOTIVE ECUS WITH AI PROCESSORS.................................. 88 6.4.1 EDGE AI SERVERS (MICRO DATA CENTERS) ................................. 89 6.4.2 VEHICLE-BASED AI COMPUTE PLATFORMS (AUTONOMOUS VEHICLES, FLEET EDGE)...... 89 6.4.3 5G MEC (MULTI-ACCESS EDGE COMPUTING) HARDWARE ............ 89 6.4.4 RUGGEDIZED AI EDGE SERVERS ................ 90 6.4.5 TELCO EDGE AI INFRASTRUCTURE ............ 90 6.4.6 SMART CITY AI INFRASTRUCTURE NODES ................................... 90 7 GLOBAL EDGE AI HARDWARE MARKET, BY PROCESSOR TYPE ......... 91 7.1 INTRODUCTION ................... 91 7.2 CPUS (AI-OPTIMIZED) ....... 92 7.3 GPUS (EDGE GPUS) ............. 93 7.4 NPUS (NEURAL PROCESSING UNITS) ........... 93 7.5 TPUS (TENSOR PROCESSING UNITS) ............ 93 7.6 FPGAS (AI-CONFIGURABLE ACCELERATION) .............................. 94 7.7 ASICS (APPLICATION-SPECIFIC AI CHIPS) .................................... 94 7.8 VISION PROCESSING UNITS (VPUS) .............. 94 7.9 DSPS (DIGITAL SIGNAL PROCESSORS) .......... 95 8 GLOBAL EDGE AI HARDWARE MARKET, BY HETEROGENEOUS ARCHITECTURE ............... 96 8.1 INTRODUCTION ................... 96 8.2 CPU + GPU INTEGRATION ................................. 97 8.3 CPU + NPU INTEGRATION ................................. 97 8.4 GPU + NPU HYBRID SOCS ................................... 98 8.5 CPU + FPGA COMBINATIONS ........................... 98 8.6 ASIC + NPU ARCHITECTURES ......................... 98 8.7 MULTI-NPU AI SOCS ......... 99 8.8 CHIPLET-BASED AI ARCHITECTURES .......... 99 8.9 2.5D OR 3D HETEROGENEOUS INTEGRATION .............................. 99 9 GLOBAL EDGE AI HARDWARE MARKET, BY HYBRID COMPUTING SOLUTIONS ................... 100 9.1 INTRODUCTION ................... 100 9.2 AI SOCS WITH DEDICATED INFERENCE ENGINES ..................... 101 9.3 RECONFIGURABLE AI HARDWARE (FPGA-BASED HYBRID) ..................................... 102 9.4 NEUROMORPHIC PROCESSORS ....................... 102 9.5 EDGE AI ACCELERATORS WITH LOW-POWER AI CORES ........ 102 9.6 AI-ENABLED NETWORK PROCESSORS ......... 103 9.7 HYBRID CPU–AI ACCELERATOR MODULES ................................. 103 9.8 AI CO-PROCESSORS INTEGRATED WITH STORAGE OR NETWORK CONTROLLERS .......................... 103 10 GLOBAL EDGE AI HARDWARE MARKET, BY END-USER INDUSTRY ..... 104 10.1 INTRODUCTION ................... 104 10.2 MANUFACTURING AND INDUSTRY 4.0 ....... 105 10.3 AUTOMOTIVE AND MOBILITY ........................ 105 10.4 TELECOMMUNICATIONS .................................. 106 10.5 HEALTHCARE AND MEDICAL DEVICES ....... 106 10.6 RETAIL AND CONSUMER ELECTRONICS ..... 106 10.7 ENERGY AND UTILITIES .................................... 107 10.8 AEROSPACE AND DEFENSE .............................. 107 10.9 OTHERS .................................. 107 11 GLOBAL EDGE AI HARDWARE MARKET, BY REGION ............................ 108 11.1 INTRODUCTION ................... 108 11.2 NORTH AMERICA ............... 109 11.2.1 U.S......................... 115 11.2.2 CANADA ................ 119 11.2.3 MEXICO ................. 122 11.3 EUROPE .................................. 125 11.3.1 GERMANY .............. 130 11.3.2 UK ......................... 133 11.3.3 FRANCE ................. 136 11.3.4 ITALY ..................... 139 11.3.5 SPAIN .................... 142 11.3.6 REST OF EUROPE .... 145 11.4 ASIA PACIFIC ....................... 148 11.4.1 CHINA .................... 153 11.4.2 INDIA ..................... 157 11.4.3 JAPAN ................... 160 11.4.4 SOUTH KOREA ........ 163 11.4.5 MALAYSIA ............. 166 11.4.6 THAILAND .............. 169 11.4.7 INDONESIA ............. 172 11.4.8 REST OF APAC ....... 175 11.5 SOUTH AMERICA ............... 178 11.5.1 BRAZIL ................... 183 11.5.2 ARGENTINA ........... 186 11.5.3 REST OF SOUTH AMERICA ........................ 189 11.6 MIDDLE EAST & AFRICA .................................... 192 11.6.1 GCC COUNTRIES..... 197 11.6.2 SOUTH AFRICA ....... 200 11.6.3 REST OF MEA ......... 203 12 COMPETITIVE LANDSCAPE .................................... 207 12.1 INTRODUCTION ................... 207 12.2 COMPETITOR DASHBOARD............................... 208 12.3 COMPANY MARKET SHARE ANALYSIS, 2025 (VALUE) ........... 209 12.4 PUBLIC PLAYERS STOCK SUMMARY ........... 209 12.5 COMPARATIVE ANALYSIS: KEY PLAYERS FINANCIAL .......... 210 12.6 KEY DEVELOPMENTS & GROWTH STRATEGIES ........................ 211 12.6.1 NEW PRODUCT LAUNCH/ DEVELOPMENT/INVESTMENT .............. 211 12.6.2 PARTNERSHIP/ACQUISITION/COLLABORATION........................... 212 13 COMPANY PROFILES ............ 214 13.1 STMICROELECTRONICS ..................................... 214 13.1.1 COMPANY OVERVIEW ............................... 214 13.1.2 FINANCIAL OVERVIEW .............................. 215 13.1.3 PRODUCTS/SOLUTIONS/SERVICES OFFERED ............................... 215 13.1.4 KEY DEVELOPMENTS ................................ 217 13.1.5 SWOT ANALYSIS .... 217 13.1.6 KEY STRATEGIES .... 218 13.2 AMBIQ MICRO ...................... 219 13.2.1 COMPANY OVERVIEW ............................... 219 13.2.2 FINANCIAL OVERVIEW .............................. 220 13.2.3 PRODUCTS/SOLUTIONS/SERVICES OFFERED ............................... 220 13.2.4 KEY DEVELOPMENTS ................................ 223 13.2.5 SWOT ANALYSIS .... 223 13.2.6 KEY STRATEGIES .... 224 13.3 QUALCOMM .......................... 225 13.3.1 COMPANY OVERVIEW ............................... 225 13.3.2 FINANCIAL OVERVIEW .............................. 226 13.3.3 PRODUCTS/SOLUTIONS/SERVICES OFFERED ............................... 226 13.3.4 KEY DEVELOPMENTS ................................ 228 13.3.5 SWOT ANALYSIS .... 228 13.3.6 KEY STRATEGIES .... 229 13.4 NVIDIA .................................... 230 13.4.1 COMPANY OVERVIEW ............................... 230 13.4.2 FINANCIAL OVERVIEW .............................. 231 13.4.3 PRODUCTS/SOLUTIONS/SERVICES OFFERED ............................... 231 13.4.4 KEY DEVELOPMENTS ................................ 232 13.4.5 SWOT ANALYSIS .... 233 13.4.6 KEY STRATEGIES .... 233 13.5 INTEL .... 234 13.5.1 COMPANY OVERVIEW ............................... 234 13.5.2 FINANCIAL OVERVIEW .............................. 235 13.5.3 PRODUCTS/SOLUTIONS/SERVICES OFFERED ............................... 235 13.5.4 KEY DEVELOPMENTS ................................ 236 13.5.5 SWOT ANALYSIS .... 237 13.5.6 KEY STRATEGIES .... 237 13.6 GRAPHCORE – IPU ARCHITECTURE ............. 238 13.6.1 COMPANY OVERVIEW ............................... 238 13.6.2 FINANCIAL OVERVIEW .............................. 239 13.6.3 PRODUCTS/SOLUTIONS/SERVICES OFFERED ............................... 239 13.6.4 KEY DEVELOPMENTS ................................ 240 13.6.5 SWOT ANALYSIS .... 241 13.6.6 KEY STRATEGIES .... 241 13.7 HAILO TECHNOLOGIES LTD. ............................. 242 13.7.1 COMPANY OVERVIEW ............................... 242 13.7.2 FINANCIAL OVERVIEW .............................. 243 13.7.3 PRODUCTS/SOLUTIONS/SERVICES OFFERED ............................... 243 13.7.4 KEY DEVELOPMENTS ................................ 244 13.7.5 SWOT ANALYSIS .... 245 13.7.6 KEY STRATEGIES .... 245 13.8 TEXAS INSTRUMENTS INCORPORATED ..... 246 13.8.1 COMPANY OVERVIEW ............................... 246 13.8.2 FINANCIAL OVERVIEW .............................. 247 13.8.3 PRODUCTS/SOLUTIONS/SERVICES OFFERED ............................... 247 13.8.4 KEY DEVELOPMENTS ................................ 248 13.8.5 SWOT ANALYSIS .... 249 13.8.6 KEY STRATEGIES .... 249 13.9 ROCKCHIP ELECTRONICS CO., LTD. ................ 250 13.9.1 COMPANY OVERVIEW ............................... 250 13.9.2 FINANCIAL OVERVIEW .............................. 251 13.9.3 PRODUCTS/SOLUTIONS/SERVICES OFFERED ............................... 251 13.9.4 KEY DEVELOPMENTS ................................ 253 13.9.5 SWOT ANALYSIS .... 253 13.9.6 KEY STRATEGIES .... 254 13.10 MEDIATEK ............................ 255 13.10.1 COMPANY OVERVIEW ............................... 255 13.10.2 FINANCIAL OVERVIEW .............................. 256 13.10.3 PRODUCTS/SOLUTIONS/SERVICES OFFERED ............................... 256 13.10.4 KEY DEVELOPMENTS ................................ 258 13.10.5 SWOT ANALYSIS .... 259 13.10.6 KEY STRATEGIES .... 259

圖表清單 List of Tables & Figures

LIST OF TABLES TABLE 1 QFD MODELING FOR MARKET SHARE ASSESSMENT 40 TABLE 2 AVERAGE SELLING PRICE (ASP) TRENDS AND BENCHMARKING 62 TABLE 3 TIERED PRICING AND FEATURE-BASED PRICING ANALYSIS 63 TABLE 4 PRICE SENSITIVITY AND ELASTICITY ANALYSIS 64 TABLE 5 COST BREAKDOWN ANALYSIS 66 TABLE 6 TOTAL COST OF OWNERSHIP (TCO) ANALYSIS 67 TABLE 7 SUBSTITUTE AND ALTERNATIVE TECHNOLOGY COST COMPARISON 71 TABLE 8 WILLINGNESS-TO-PAY (WTP) ASSESSMENT 73 TABLE 9 PRICE–PERFORMANCE RATIO BENCHMARKING 74 TABLE 10 FUTURE PRICING OUTLOOK AND FORECAST SCENARIOS 76 TABLE 11 FUTURE PRICING OUTLOOK AND FORECAST SCENARIOS 78 TABLE 12 GLOBAL EDGE AI HARDWARE MARKET, BY EDGE LAYER, 2019-2035 (USD MILLION) 82 TABLE 13 GLOBAL EDGE AI HARDWARE MARKET, BY PROCESSOR TYPE, 2019-2035 (USD MILLION) 91 TABLE 14 GLOBAL EDGE AI HARDWARE MARKET, BY HETEROGENEOUS ARCHITECTURE, 2019-2035 (USD MILLION) 96 TABLE 15 GLOBAL EDGE AI HARDWARE MARKET, BY HYBRID COMPUTING SOLUTIONS, 2019-2035 (USD MILLION) 100 TABLE 16 GLOBAL EDGE AI HARDWARE MARKET, BY END-USE INDUSTRY, 2019-2035 (USD MILLION) 104 TABLE 17 GLOBAL EDGE AI HARDWARE MARKET, BY REGION, 2019-2035 (USD MILLION) 108 TABLE 18 NORTH AMERICA EDGE AI HARDWARE MARKET, BY COUNTRY, 2019-2035 (USD MILLION) 110 TABLE 19 NORTH AMERICA EDGE AI HARDWARE MARKET, BY EDGE LAYER, 2019-2035 (USD MILLION) 112 TABLE 20 NORTH AMERICA EDGE AI HARDWARE MARKET, BY PROCESSOR TYPE, 2019-2035 (USD MILLION) 113 TABLE 21 NORTH AMERICA EDGE AI HARDWARE MARKET, BY HETEROGENEOUS ARCHITECTURE, 2019-2035 (USD MILLION) 113 TABLE 22 NORTH AMERICA EDGE AI HARDWARE MARKET, BY HYBRID COMPUTING SOLUTIONS, 2019-2035 (USD MILLION) 114 TABLE 23 NORTH AMERICA EDGE AI HARDWARE MARKET, BY END-USE INDUSTRY, 2019-2035 (USD MILLION) 114 TABLE 24 U.S. EDGE AI HARDWARE MARKET, BY EDGE LAYER, 2019-2035 (USD MILLION) 115 TABLE 25 U.S. EDGE AI HARDWARE MARKET, BY PROCESSOR TYPE, 2019-2035 (USD MILLION) 116 TABLE 26 U.S. EDGE AI HARDWARE MARKET, BY HETEROGENEOUS ARCHITECTURE, 2019-2035 (USD MILLION) 117 TABLE 27 U.S. EDGE AI HARDWARE MARKET, BY HYBRID COMPUTING SOLUTIONS, 2019-2035 (USD MILLION) 117 TABLE 28 U.S. EDGE AI HARDWARE MARKET, BY END-USE INDUSTRY, 2019-2035 (USD MILLION) 118 TABLE 29 CANADA EDGE AI HARDWARE MARKET, BY EDGE LAYER, 2019-2035 (USD MILLION) 119 TABLE 30 CANADA EDGE AI HARDWARE MARKET, BY PROCESSOR TYPE, 2019-2035 (USD MILLION) 120 TABLE 31 CANADA EDGE AI HARDWARE MARKET, BY HETEROGENEOUS ARCHITECTURE, 2019-2035 (USD MILLION) 120 TABLE 32 CANADA EDGE AI HARDWARE MARKET, BY HYBRID COMPUTING SOLUTIONS, 2019-2035 (USD MILLION) 121 TABLE 33 CANADA EDGE AI HARDWARE MARKET, BY END-USE INDUSTRY, 2019-2035 (USD MILLION) 121 TABLE 34 MEXICO EDGE AI HARDWARE MARKET, BY EDGE LAYER, 2019-2035 (USD MILLION) 122 TABLE 35 MEXICO EDGE AI HARDWARE MARKET, BY PROCESSOR TYPE, 2019-2035 (USD MILLION) 123 TABLE 36 MEXICO EDGE AI HARDWARE MARKET, BY HETEROGENEOUS ARCHITECTURE, 2019-2035 (USD MILLION) 123 TABLE 37 MEXICO EDGE AI HARDWARE MARKET, BY HYBRID COMPUTING SOLUTIONS, 2019-2035 (USD MILLION) 124 TABLE 38 MEXICO EDGE AI HARDWARE MARKET, BY END-USE INDUSTRY, 2019-2035 (USD MILLION) 124 TABLE 39 EUROPE EDGE AI HARDWARE MARKET, BY COUNTRY, 2019-2035 (USD MILLION) 126 TABLE 40 EUROPE EDGE AI HARDWARE MARKET, BY EDGE LAYER, 2019-2035 (USD MILLION) 127 TABLE 41 EUROPE EDGE AI HARDWARE MARKET, BY PROCESSOR TYPE, 2019-2035 (USD MILLION) 128 TABLE 42 EUROPE EDGE AI HARDWARE MARKET, BY HETEROGENEOUS ARCHITECTURE, 2019-2035 (USD MILLION) 128 TABLE 43 EUROPE EDGE AI HARDWARE MARKET, BY HYBRID COMPUTING SOLUTIONS, 2019-2035 (USD MILLION) 129 TABLE 44 EUROPE EDGE AI HARDWARE MARKET, BY END-USE INDUSTRY, 2019-2035 (USD MILLION) 129 TABLE 45 GERMANY EDGE AI HARDWARE MARKET, BY EDGE LAYER, 2019-2035 (USD MILLION) 130 TABLE 46 GERMANY EDGE AI HARDWARE MARKET, BY PROCESSOR TYPE, 2019-2035 (USD MILLION) 131 TABLE 47 GERMANY EDGE AI HARDWARE MARKET, BY HETEROGENEOUS ARCHITECTURE, 2019-2035 (USD MILLION) 131 TABLE 48 GERMANY EDGE AI HARDWARE MARKET, BY HYBRID COMPUTING SOLUTIONS, 2019-2035 (USD MILLION) 132 TABLE 49 GERMANY EDGE AI HARDWARE MARKET, BY END-USE INDUSTRY, 2019-2035 (USD MILLION) 132 TABLE 50 UK EDGE AI HARDWARE MARKET, BY EDGE LAYER, 2019-2035 (USD MILLION) 133 TABLE 51 UK EDGE AI HARDWARE MARKET, BY PROCESSOR TYPE, 2019-2035 (USD MILLION) 134 TABLE 52 UK EDGE AI HARDWARE MARKET, BY HETEROGENEOUS ARCHITECTURE, 2019-2035 (USD MILLION) 134 TABLE 53 UK EDGE AI HARDWARE MARKET, BY HYBRID COMPUTING SOLUTIONS, 2019-2035 (USD MILLION) 135 TABLE 54 UK EDGE AI HARDWARE MARKET, BY END-USE INDUSTRY, 2019-2035 (USD MILLION) 135 TABLE 55 FRANCE EDGE AI HARDWARE MARKET, BY EDGE LAYER, 2019-2035 (USD MILLION) 136 TABLE 56 FRANCE EDGE AI HARDWARE MARKET, BY PROCESSOR TYPE, 2019-2035 (USD MILLION) 137 TABLE 57 FRANCE EDGE AI HARDWARE MARKET, BY HETEROGENEOUS ARCHITECTURE, 2019-2035 (USD MILLION) 137 TABLE 58 FRANCE EDGE AI HARDWARE MARKET, BY HYBRID COMPUTING SOLUTIONS, 2019-2035 (USD MILLION) 138 TABLE 59 FRANCE EDGE AI HARDWARE MARKET, BY END-USE INDUSTRY, 2019-2035 (USD MILLION) 138 TABLE 60 ITALY EDGE AI HARDWARE MARKET, BY EDGE LAYER, 2019-2035 (USD MILLION) 139 TABLE 61 ITALY EDGE AI HARDWARE MARKET, BY PROCESSOR TYPE, 2019-2035 (USD MILLION) 140 TABLE 62 ITALY EDGE AI HARDWARE MARKET, BY HETEROGENEOUS ARCHITECTURE, 2019-2035 (USD MILLION) 140 TABLE 63 ITALY EDGE AI HARDWARE MARKET, BY HYBRID COMPUTING SOLUTIONS, 2019-2035 (USD MILLION) 141 TABLE 64 ITALY EDGE AI HARDWARE MARKET, BY END-USE INDUSTRY, 2019-2035 (USD MILLION) 141 TABLE 65 SPAIN EDGE AI HARDWARE MARKET, BY EDGE LAYER, 2019-2035 (USD MILLION) 142 TABLE 66 SPAIN EDGE AI HARDWARE MARKET, BY PROCESSOR TYPE, 2019-2035 (USD MILLION) 143 TABLE 67 SPAIN EDGE AI HARDWARE MARKET, BY HETEROGENEOUS ARCHITECTURE, 2019-2035 (USD MILLION) 143 TABLE 68 SPAIN EDGE AI HARDWARE MARKET, BY HYBRID COMPUTING SOLUTIONS, 2019-2035 (USD MILLION) 144 TABLE 69 SPAIN EDGE AI HARDWARE MARKET, BY END-USE INDUSTRY, 2019-2035 (USD MILLION) 144 TABLE 70 REST OF EUROPE EDGE AI HARDWARE MARKET, BY EDGE LAYER, 2019-2035 (USD MILLION) 145 TABLE 71 REST OF EUROPE EDGE AI HARDWARE MARKET, BY PROCESSOR TYPE, 2019-2035 (USD MILLION) 146 TABLE 72 REST OF EUROPE EDGE AI HARDWARE MARKET, BY HETEROGENEOUS ARCHITECTURE, 2019-2035 (USD MILLION) 146 TABLE 73 REST OF EUROPE EDGE AI HARDWARE MARKET, BY HYBRID COMPUTING SOLUTIONS, 2019-2035 (USD MILLION) 147 TABLE 74 REST OF EUROPE EDGE AI HARDWARE MARKET, BY END-USE INDUSTRY, 2019-2035 (USD MILLION) 147 TABLE 75 ASIA-PACIFIC EDGE AI HARDWARE MARKET, BY COUNTRY, 2019-2035 (USD MILLION) 149 TABLE 76 ASIA-PACIFIC EDGE AI HARDWARE MARKET, BY EDGE LAYER, 2019-2035 (USD MILLION) 150 TABLE 77 ASIA-PACIFIC EDGE AI HARDWARE MARKET, BY PROCESSOR TYPE, 2019-2035 (USD MILLION) 151 TABLE 78 ASIA-PACIFIC EDGE AI HARDWARE MARKET, BY HETEROGENEOUS ARCHITECTURE, 2019-2035 (USD MILLION) 151 TABLE 79 ASIA-PACIFIC EDGE AI HARDWARE MARKET, BY HYBRID COMPUTING SOLUTIONS, 2019-2035 (USD MILLION) 152 TABLE 80 ASIA-PACIFIC EDGE AI HARDWARE MARKET, BY END-USE INDUSTRY, 2019-2035 (USD MILLION) 152 TABLE 81 CHINA EDGE AI HARDWARE MARKET, BY EDGE LAYER, 2019-2035 (USD MILLION) 153 TABLE 82 CHINA EDGE AI HARDWARE MARKET, BY PROCESSOR TYPE, 2019-2035 (USD MILLION) 155 TABLE 83 CHINA EDGE AI HARDWARE MARKET, BY HETEROGENEOUS ARCHITECTURE, 2019-2035 (USD MILLION) 155 TABLE 84 CHINA EDGE AI HARDWARE MARKET, BY HYBRID COMPUTING SOLUTIONS, 2019-2035 (USD MILLION) 156 TABLE 85 CHINA EDGE AI HARDWARE MARKET, BY END-USE INDUSTRY, 2019-2035 (USD MILLION) 156 TABLE 86 INDIA EDGE AI HARDWARE MARKET, BY EDGE LAYER, 2019-2035 (USD MILLION) 157 TABLE 87 INDIA EDGE AI HARDWARE MARKET, BY PROCESSOR TYPE, 2019-2035 (USD MILLION) 158 TABLE 88 INDIA EDGE AI HARDWARE MARKET, BY HETEROGENEOUS ARCHITECTURE, 2019-2035 (USD MILLION) 158 TABLE 89 INDIA EDGE AI HARDWARE MARKET, BY HYBRID COMPUTING SOLUTIONS, 2019-2035 (USD MILLION) 159 TABLE 90 INDIA EDGE AI HARDWARE MARKET, BY END-USE INDUSTRY, 2019-2035 (USD MILLION) 159 TABLE 91 JAPAN EDGE AI HARDWARE MARKET, BY EDGE LAYER, 2019-2035 (USD MILLION) 160 TABLE 92 JAPAN EDGE AI HARDWARE MARKET, BY PROCESSOR TYPE, 2019-2035 (USD MILLION) 161 TABLE 93 JAPAN EDGE AI HARDWARE MARKET, BY HETEROGENEOUS ARCHITECTURE, 2019-2035 (USD MILLION) 161 TABLE 94 JAPAN EDGE AI HARDWARE MARKET, BY HYBRID COMPUTING SOLUTIONS, 2019-2035 (USD MILLION) 162 TABLE 95 JAPAN EDGE AI HARDWARE MARKET, BY END-USE INDUSTRY, 2019-2035 (USD MILLION) 162 TABLE 96 SOUTH KOREA EDGE AI HARDWARE MARKET, BY EDGE LAYER, 2019-2035 (USD MILLION) 163 TABLE 97 SOUTH KOREA EDGE AI HARDWARE MARKET, BY PROCESSOR TYPE, 2019-2035 (USD MILLION) 164 TABLE 98 SOUTH KOREA EDGE AI HARDWARE MARKET, BY HETEROGENEOUS ARCHITECTURE, 2019-2035 (USD MILLION) 164 TABLE 99 SOUTH KOREA EDGE AI HARDWARE MARKET, BY HYBRID COMPUTING SOLUTIONS, 2019-2035 (USD MILLION) 165 TABLE 100 SOUTH KOREA EDGE AI HARDWARE MARKET, BY END-USE INDUSTRY, 2019-2035 (USD MILLION) 165 TABLE 101 MALAYSIA EDGE AI HARDWARE MARKET, BY EDGE LAYER, 2019-2035 (USD MILLION) 166 TABLE 102 MALAYSIA EDGE AI HARDWARE MARKET, BY PROCESSOR TYPE, 2019-2035 (USD MILLION) 167 TABLE 103 MALAYSIA EDGE AI HARDWARE MARKET, BY HETEROGENEOUS ARCHITECTURE, 2019-2035 (USD MILLION) 167 TABLE 104 MALAYSIA EDGE AI HARDWARE MARKET, BY HYBRID COMPUTING SOLUTIONS, 2019-2035 (USD MILLION) 168 TABLE 105 MALAYSIA EDGE AI HARDWARE MARKET, BY END-USE INDUSTRY, 2019-2035 (USD MILLION) 168 TABLE 106 THAILAND EDGE AI HARDWARE MARKET, BY EDGE LAYER, 2019-2035 (USD MILLION) 169 TABLE 107 THAILAND EDGE AI HARDWARE MARKET, BY PROCESSOR TYPE, 2019-2035 (USD MILLION) 170 TABLE 108 THAILAND EDGE AI HARDWARE MARKET, BY HETEROGENEOUS ARCHITECTURE, 2019-2035 (USD MILLION) 170 TABLE 109 THAILAND EDGE AI HARDWARE MARKET, BY HYBRID COMPUTING SOLUTIONS, 2019-2035 (USD MILLION) 171 TABLE 110 THAILAND EDGE AI HARDWARE MARKET, BY END-USE INDUSTRY, 2019-2035 (USD MILLION) 171 TABLE 111 INDONESIA EDGE AI HARDWARE MARKET, BY EDGE LAYER, 2019-2035 (USD MILLION) 172 TABLE 112 INDONESIA EDGE AI HARDWARE MARKET, BY PROCESSOR TYPE, 2019-2035 (USD MILLION) 173 TABLE 113 INDONESIA EDGE AI HARDWARE MARKET, BY HETEROGENEOUS ARCHITECTURE, 2019-2035 (USD MILLION) 173 TABLE 114 INDONESIA EDGE AI HARDWARE MARKET, BY HYBRID COMPUTING SOLUTIONS, 2019-2035 (USD MILLION) 174 TABLE 115 INDONESIA EDGE AI HARDWARE MARKET, BY END-USE INDUSTRY, 2019-2035 (USD MILLION) 174 TABLE 116 REST OF APAC EDGE AI HARDWARE MARKET, BY EDGE LAYER, 2019-2035 (USD MILLION) 175 TABLE 117 REST OF APAC EDGE AI HARDWARE MARKET, BY PROCESSOR TYPE, 2019-2035 (USD MILLION) 176 TABLE 118 REST OF APAC EDGE AI HARDWARE MARKET, BY HETEROGENEOUS ARCHITECTURE, 2019-2035 (USD MILLION) 176 TABLE 119 REST OF APAC EDGE AI HARDWARE MARKET, BY HYBRID COMPUTING SOLUTIONS, 2019-2035 (USD MILLION) 177 TABLE 120 REST OF APAC EDGE AI HARDWARE MARKET, BY END-USE INDUSTRY, 2019-2035 (USD MILLION) 177 TABLE 121 SOUTH AMERICA EDGE AI HARDWARE MARKET, BY COUNTRY, 2019-2035 (USD MILLION) 179 TABLE 122 SOUTH AMERICA EDGE AI HARDWARE MARKET, BY EDGE LAYER, 2019-2035 (USD MILLION) 180 TABLE 123 SOUTH AMERICA EDGE AI HARDWARE MARKET, BY PROCESSOR TYPE, 2019-2035 (USD MILLION) 181 TABLE 124 SOUTH AMERICA EDGE AI HARDWARE MARKET, BY HETEROGENEOUS ARCHITECTURE, 2019-2035 (USD MILLION) 181 TABLE 125 SOUTH AMERICA EDGE AI HARDWARE MARKET, BY HYBRID COMPUTING SOLUTIONS, 2019-2035 (USD MILLION) 182 TABLE 126 SOUTH AMERICA EDGE AI HARDWARE MARKET, BY END-USE INDUSTRY, 2019-2035 (USD MILLION) 182 TABLE 127 BRAZIL EDGE AI HARDWARE MARKET, BY EDGE LAYER, 2019-2035 (USD MILLION) 183 TABLE 128 BRAZIL EDGE AI HARDWARE MARKET, BY PROCESSOR TYPE, 2019-2035 (USD MILLION) 184 TABLE 129 BRAZIL EDGE AI HARDWARE MARKET, BY HETEROGENEOUS ARCHITECTURE, 2019-2035 (USD MILLION) 184 TABLE 130 BRAZIL EDGE AI HARDWARE MARKET, BY HYBRID COMPUTING SOLUTIONS, 2019-2035 (USD MILLION) 185 TABLE 131 BRAZIL EDGE AI HARDWARE MARKET, BY END-USE INDUSTRY, 2019-2035 (USD MILLION) 185 TABLE 132 ARGENTINA EDGE AI HARDWARE MARKET, BY EDGE LAYER, 2019-2035 (USD MILLION) 186 TABLE 133 ARGENTINA EDGE AI HARDWARE MARKET, BY PROCESSOR TYPE, 2019-2035 (USD MILLION) 187 TABLE 134 ARGENTINA EDGE AI HARDWARE MARKET, BY HETEROGENEOUS ARCHITECTURE, 2019-2035 (USD MILLION) 187 TABLE 135 ARGENTINA EDGE AI HARDWARE MARKET, BY HYBRID COMPUTING SOLUTIONS, 2019-2035 (USD MILLION) 188 TABLE 136 ARGENTINA EDGE AI HARDWARE MARKET, BY END-USE INDUSTRY, 2019-2035 (USD MILLION) 188 TABLE 137 REST OF SOUTH AMERICA EDGE AI HARDWARE MARKET, BY EDGE LAYER, 2019-2035 (USD MILLION) 189 TABLE 138 REST OF SOUTH AMERICA EDGE AI HARDWARE MARKET, BY PROCESSOR TYPE, 2019-2035 (USD MILLION) 190 TABLE 139 REST OF SOUTH AMERICA EDGE AI HARDWARE MARKET, BY HETEROGENEOUS ARCHITECTURE, 2019-2035 (USD MILLION) 190 TABLE 140 REST OF SOUTH AMERICA EDGE AI HARDWARE MARKET, BY HYBRID COMPUTING SOLUTIONS, 2019-2035 (USD MILLION) 191 TABLE 141 REST OF SOUTH AMERICA EDGE AI HARDWARE MARKET, BY END-USE INDUSTRY, 2019-2035 (USD MILLION) 191 TABLE 142 MIDDLE EAST & AFRICA EDGE AI HARDWARE MARKET, BY COUNTRY, 2019-2035 (USD MILLION) 193 TABLE 143 MIDDLE EAST & AFRICA EDGE AI HARDWARE MARKET, BY EDGE LAYER, 2019-2035 (USD MILLION) 194 TABLE 144 MIDDLE EAST & AFRICA EDGE AI HARDWARE MARKET, BY PROCESSOR TYPE, 2019-2035 (USD MILLION) 195 TABLE 145 MIDDLE EAST & AFRICA EDGE AI HARDWARE MARKET, BY HETEROGENEOUS ARCHITECTURE, 2019-2035 (USD MILLION) 195 TABLE 146 MIDDLE EAST & AFRICA EDGE AI HARDWARE MARKET, BY HYBRID COMPUTING SOLUTIONS, 2019-2035 (USD MILLION) 196 TABLE 147 MIDDLE EAST & AFRICA EDGE AI HARDWARE MARKET, BY END-USE INDUSTRY, 2019-2035 (USD MILLION) 196 TABLE 148 GCC COUNTRIES EDGE AI HARDWARE MARKET, BY EDGE LAYER, 2019-2035 (USD MILLION) 197 TABLE 149 GCC COUNTRIES EDGE AI HARDWARE MARKET, BY PROCESSOR TYPE, 2019-2035 (USD MILLION) 198 TABLE 150 GCC COUNTRIES EDGE AI HARDWARE MARKET, BY HETEROGENEOUS ARCHITECTURE, 2019-2035 (USD MILLION) 198 TABLE 151 GCC COUNTRIES EDGE AI HARDWARE MARKET, BY HYBRID COMPUTING SOLUTIONS, 2019-2035 (USD MILLION) 199 TABLE 152 GCC COUNTRIES EDGE AI HARDWARE MARKET, BY END-USE INDUSTRY, 2019-2035 (USD MILLION) 199 TABLE 153 SOUTH AFRICA EDGE AI HARDWARE MARKET, BY EDGE LAYER, 2019-2035 (USD MILLION) 200 TABLE 154 SOUTH AFRICA EDGE AI HARDWARE MARKET, BY PROCESSOR TYPE, 2019-2035 (USD MILLION) 201 TABLE 155 SOUTH AFRICA EDGE AI HARDWARE MARKET, BY HETEROGENEOUS ARCHITECTURE, 2019-2035 (USD MILLION) 201 TABLE 156 SOUTH AFRICA EDGE AI HARDWARE MARKET, BY HYBRID COMPUTING SOLUTIONS, 2019-2035 (USD MILLION) 202 TABLE 157 SOUTH AFRICA EDGE AI HARDWARE MARKET, BY END-USE INDUSTRY, 2019-2035 (USD MILLION) 202 TABLE 158 REST OF MEA EDGE AI HARDWARE MARKET, BY EDGE LAYER, 2019-2035 (USD MILLION) 203 TABLE 159 REST OF MEA EDGE AI HARDWARE MARKET, BY PROCESSOR TYPE, 2019-2035 (USD MILLION) 204 TABLE 160 REST OF MEA EDGE AI HARDWARE MARKET, BY HETEROGENEOUS ARCHITECTURE, 2019-2035 (USD MILLION) 204 TABLE 161 REST OF MEA EDGE AI HARDWARE MARKET, BY HYBRID COMPUTING SOLUTIONS, 2019-2035 (USD MILLION) 205 TABLE 162 REST OF MEA EDGE AI HARDWARE MARKET, BY END-USE INDUSTRY, 2019-2035 (USD MILLION) 205 TABLE 163 PUBLIC PLAYERS STOCK SUMMARY 209 TABLE 164 COMPARATIVE ANALYSIS: KEY PLAYERS FINANCIAL 210 TABLE 165 NEW PRODUCT LAUNCH/INVESTMENT 211 TABLE 166 PARTNERSHIP/ACQISITION/COLLABORATION 212 TABLE 167 STMICROELECTRONICS: PRODUCTS/SOLUTIONS/SERVICES OFFERED 215 TABLE 168 STMICROELECTRONICS: KEY DEVELOPMENTS 217 TABLE 169 AMBIQ MICRO: PRODUCTS/SOLUTIONS/SERVICES OFFERED 220 TABLE 170 AMBIQ MICRO: KEY DEVELOPMENTS 223 TABLE 171 QUALCOMM: PRODUCTS/SOLUTIONS/SERVICES OFFERED 226 TABLE 172 QUALCOMM: KEY DEVELOPMENTS 228 TABLE 173 NVIDIA: PRODUCTS/SOLUTIONS/SERVICES OFFERED 231 TABLE 174 NVIDIA: KEY DEVELOPMENTS 232 TABLE 175 INTEL: PRODUCTS/SOLUTIONS/SERVICES OFFERED 235 TABLE 176 GRAPHCORE – IPU ARCHITECTURE: PRODUCTS/SOLUTIONS/SERVICES OFFERED 239 TABLE 177 GRAPHCORE – IPU ARCHITECTURE :KEY DEVELOPMENTS 240 TABLE 178 HAILO TECHNOLOGIES LTD.: PRODUCTS/SOLUTIONS/SERVICES OFFERED 243 TABLE 179 HAILO TECHNOLOGIES LTD.: KEY DEVELOPMENTS 244 TABLE 180 TEXAS INSTRUMENTS INCORPORATED: PRODUCTS/SOLUTIONS/SERVICES OFFERED 247 TABLE 181 TEXAS INSTRUMENTS INCORPORATED: KEY DEVELOPMENTS 248 TABLE 182 ROCKCHIP ELECTRONICS CO., LTD.: PRODUCTS/SOLUTIONS/SERVICES OFFERED 251 TABLE 183 ROCKCHIP ELECTRONICS CO., LTD.: KEY DEVELOPMENTS 253 TABLE 184 MEDIATEK: PRODUCTS/SOLUTIONS/SERVICES OFFERED 256 TABLE 185 MEDIATEK: KEY DEVELOPMENTS 258 LIST OF FIGURES FIGURE 1 GLOBAL EDGE AI HARDWARE MARKET: ESTIMATIONS AND FORECASTS (2019-2035) 22 FIGURE 2 GLOBAL EDGE AI HARDWARE MARKET, BY REGION, 2025 (% SHARE) 23 FIGURE 3 KEY PLAYERS IN GLOBAL EDGE AI HARDWARE MARKET 23 FIGURE 4 GLOBAL EDGE AI HARDWARE MARKET: STRUCTURE 26 FIGURE 5 GLOBAL EDGE AI HARDWARE MARKET: MARKET GROWTH FACTOR ANALYSIS (2019-2035) 43 FIGURE 6 DRIVER IMPACT ANALYSIS (2019-2035) 46 FIGURE 7 RESTRAINT IMPACT ANALYSIS (2019-2035) 48 FIGURE 8 OPPORTUNITY IMPACT FORECAST 51 FIGURE 9 GLOBAL EDGE AI HARDWARE MARKET: SUPPLY CHAIN ANALYSIS 55 FIGURE 10 PORTER'S FIVE FORCES ANALYSIS OF THE GLOBAL EDGE AI HARDWARE MARKET 58 FIGURE 11 GLOBAL EDGE AI HARDWARE MARKET, BY EDGE LAYER, 2025 (% SHARE) 83 FIGURE 12 GLOBAL EDGE AI HARDWARE MARKET, BY EDGE LAYER, 2025 VS 2035 (USD MILLION) 84 FIGURE 13 GLOBAL EDGE AI HARDWARE MARKET, BY PROCESSOR TYPE, 2025 (% SHARE) 92 FIGURE 14 GLOBAL EDGE AI HARDWARE MARKET, BY PROCESSOR TYPE, 2025 VS 2035 (USD MILLION) 92 FIGURE 15 GLOBAL EDGE AI HARDWARE MARKET, BY HETEROGENEOUS ARCHITECTURE, 2025 (% SHARE) 96 FIGURE 16 GLOBAL EDGE AI HARDWARE MARKET, BY HETEROGENEOUS ARCHITECTURE, 2025 VS 2035 (USD MILLION) 97 FIGURE 17 GLOBAL EDGE AI HARDWARE MARKET, BY HYBRID COMPUTING SOLUTIONS, 2025 (% SHARE) 101 FIGURE 18 GLOBAL EDGE AI HARDWARE MARKET, BY HYBRID COMPUTING SOLUTIONS, 2025 VS 2035 (USD MILLION) 101 FIGURE 19 GLOBAL EDGE AI HARDWARE MARKET, BY END-USE INDUSTRY, 2025 (% SHARE) 104 FIGURE 20 GLOBAL EDGE AI HARDWARE MARKET, BY END-USE INDUSTRY, 2025 VS 2035 (USD MILLION) 105 FIGURE 21 GLOBAL EDGE AI HARDWARE MARKET, BY REGION, 2025 (% SHARE) 108 FIGURE 22 GLOBAL EDGE AI HARDWARE MARKET, BY REGION, 2025 VS 2035 (USD MILLION) 109 FIGURE 23 NORTH AMERICA EDGE AI HARDWARE MARKET ANALYSIS: 2019-2035 (USD MILLION) 110 FIGURE 24 NORTH AMERICA EDGE AI HARDWARE MARKET, BY COUNTRY, 2025 (% SHARE) 111 FIGURE 25 NORTH AMERICA EDGE AI HARDWARE MARKET, BY COUNTRY, 2025 VS 2035 (USD MILLION) 111 FIGURE 26 EUROPE EDGE AI HARDWARE MARKET ANALYSIS: 2019-2035 (USD MILLION) 125 FIGURE 27 EUROPE EDGE AI HARDWARE MARKET, BY COUNTRY, 2025 (% SHARE) 126 FIGURE 28 EUROPE EDGE AI HARDWARE MARKET, BY COUNTRY, 2025 VS 2035 (USD MILLION) 126 FIGURE 29 ASIA-PACIFIC EDGE AI HARDWARE MARKET ANALYSIS: 2019-2035 (USD MILLION) 148 FIGURE 30 ASIA-PACIFIC EDGE AI HARDWARE MARKET, BY COUNTRY, 2025 (% SHARE) 149 FIGURE 31 ASIA-PACIFIC EDGE AI HARDWARE MARKET, BY COUNTRY, 2025 VS 2035 (USD MILLION) 149 FIGURE 32 SOUTH AMERICA EDGE AI HARDWARE MARKET ANALYSIS: 2019-2035 (USD MILLION) 178 FIGURE 33 SOUTH AMERICA EDGE AI HARDWARE MARKET, BY COUNTRY, 2025 (% SHARE) 179 FIGURE 34 SOUTH AMERICA EDGE AI HARDWARE MARKET, BY COUNTRY, 2025 VS 2035 (USD MILLION) 179 FIGURE 35 MIDDLE EAST & AFRICA EDGE AI HARDWARE MARKET ANALYSIS: 2019-2035 (USD MILLION) 192 FIGURE 36 MIDDLE EAST & AFRICA EDGE AI HARDWARE MARKET, BY COUNTRY, 2025 (% SHARE) 193 FIGURE 37 MIDDLE EAST & AFRICA EDGE AI HARDWARE MARKET, BY COUNTRY, 2025 VS 2035 (USD MILLION) 193 FIGURE 39 GLOBAL EDGE AI HARDWARE MARKET PLAYERS: COMPETITIVE ANALSIS, 2025 (USD MILLION) (% SHARE) 209 FIGURE 40 STMICROELECTRONICS: FINANCIAL OVERVIEW SNAPSHOT 215 FIGURE 41 STMICROELECTRONICS: SWOT ANALYSIS 217 FIGURE 42 AMBIQ MICRO: FINANCIAL OVERVIEW SNAPSHOT 220 FIGURE 43 AMBIQ MICRO: SWOT ANALYSIS 223 FIGURE 44 QUALCOMM: FINANCIAL OVERVIEW SNAPSHOT 226 FIGURE 45 QUALCOMM: SWOT ANALYSIS FIGURE 46 NVIDIA: FINANCIAL OVERVIEW SNAPSHOT FIGURE 47 NVIDIA: SWOT ANALYSIS FIGURE 48 INTEL: FINANCIAL OVERVIEW SNAPSHOT FIGURE 49 INTEL : SWOT ANALYSIS FIGURE 50 GRAPHCORE – IPU ARCHITECTURE(SOFTBANK): FINANCIAL OVERVIEW SNAPSHOT FIGURE 51 GRAPHCORE – IPU ARCHITECTURE: SWOT ANALYSIS FIGURE 52 HAILO TECHNOLOGIES LTD.: SWOT ANALYSIS FIGURE 53 TEXAS INSTRUMENTS INCORPORATED: FINANCIAL OVERVIEW SNAPSHOT FIGURE 54 TEXAS INSTRUMENTS INCORPORATED: SWOT ANALYSIS FIGURE 55 ROCKCHIP ELECTRONICS CO., LTD: FINANCIAL OVERVIEW SNAPSHOT FIGURE 56 ROCKCHIP ELECTRONICS CO., LTD.: SWOT ANALYSIS FIGURE 57 MEDIATEK: FINANCIAL OVERVIEW SNAPSHOT FIGURE 58 MEDIATEK: SWOT ANALYSIS

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