Research Summary
AI on EDGE Semiconductor refers to the integration of artificial intelligence (AI) capabilities directly into semiconductor chips designed for edge computing devices. These chips incorporate specialized AI accelerators like neural processing units (NPUs) or tensor processing units (TPUs) alongside traditional processing units such as CPUs and GPUs. By embedding AI functionalities into these chips, edge devices can perform complex AI tasks locally without relying on cloud services, reducing latency, improving privacy, and enabling real-time decision-making in applications like autonomous vehicles, smart cameras, industrial automation, IoT devices, and robotics.
According to DIResearch's in-depth investigation and research, the global AI on EDGE Semiconductor market size was valued at XX Million USD in 2024 and is projected to reach XX Million USD by 2032, with a CAGR of XX% (2025-2032). Notably, the China market has changed rapidly in the past few years. By 2024, China's market size is expected to be XX Million USD, representing approximately XX% of the global market share. By 2032, it is anticipated to grow further to XX Million USD, contributing XX% to the worldwide market share.
The major global manufacturers of AI on EDGE Semiconductor include NVIDIA, Intel, AMD Xilinx, Google, Qualcomm, NXP, STMicroelectronics, Texas Instruments, Kneron, Hailo, Ambarella, Hisilicon, Cambricon, Horizon Robotics, Black Sesame Technologies, Corerain, Amlogic, Ingenic Semiconductor, Fuzhou Rockchip Electronics, OmniVision etc. The global players competition landscape in this report is divided into three tiers. The first tier comprises global leading enterprises that command a substantial market share, hold a dominant industry position, possess strong competitiveness and influence, and generate significant revenue. The second tier includes companies with a notable market presence and reputation; these firms actively follow industry leaders in product, service, or technological innovation and maintain a moderate revenue scale. The third tier consists of smaller companies with limited market share and lower brand recognition, primarily focused on local markets and generating comparatively lower revenue.
This report studies the market size, price trends and future development prospects of AI on EDGE Semiconductor. Focus on analysing the market share, product portfolio, prices, sales, revenue and gross profit margin of global major manufacturers, as well as the market status and trends of different product types and applications in the global AI on EDGE Semiconductor market. The report data covers historical data from 2020 to 2024, based year in 2025 and forecast data from 2026 to 2032.
The regions and countries in the report include North America, Europe, China, APAC (excl. China), Latin America and Middle East and Africa, covering the AI on EDGE Semiconductor market conditions and future development trends of key regions and countries, combined with industry-related policies and the latest technological developments, analyze the development characteristics of AI on EDGE Semiconductor industries in various regions and countries, help companies understand the development characteristics of each region, help companies formulate business strategies, and achieve the ultimate goal of the company's global development strategy.
The data sources of this report mainly include the National Bureau of Statistics, customs databases, industry associations, corporate financial reports, third-party databases, etc. Among them, macroeconomic data mainly comes from the National Bureau of Statistics, International Economic Research Organization; industry statistical data mainly come from industry associations; company data mainly comes from interviews, public information collection, third-party reliable databases, and price data mainly comes from various markets monitoring database.
Global Key Manufacturers of AI on EDGE Semiconductor Include:
NVIDIA
Intel
AMD Xilinx
Google
Qualcomm
NXP
STMicroelectronics
Texas Instruments
Kneron
Hailo
Ambarella
Hisilicon
Cambricon
Horizon Robotics
Black Sesame Technologies
Corerain
Amlogic
Ingenic Semiconductor
Fuzhou Rockchip Electronics
OmniVision
AI on EDGE Semiconductor Product Segment Include:
Audio And Sound Processing
Machine Vision
Sensor Data Analysis
Others
AI on EDGE Semiconductor Product Application Include:
Automotive
Robotics
Smart Manufacturing
Smart City
Security & Surveillance
Others
Chapter Scope
Chapter 1: Product Research Range, Product Types and Applications, Market Overview, Market Situation and Trends
Chapter 2: Global AI on EDGE Semiconductor Industry PESTEL Analysis
Chapter 3: Global AI on EDGE Semiconductor Industry Porter’s Five Forces Analysis
Chapter 4: Global AI on EDGE Semiconductor Major Regional Market Size (Revenue, Sales, Price) and Forecast Analysis
Chapter 5: Global AI on EDGE Semiconductor Market Size and Forecast by Type and Application Analysis
Chapter 6: North America AI on EDGE Semiconductor Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 7: Europe AI on EDGE Semiconductor Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 8: China AI on EDGE Semiconductor Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 9: APAC (Excl. China) AI on EDGE Semiconductor Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 10: Latin America AI on EDGE Semiconductor Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 11: Middle East and Africa AI on EDGE Semiconductor Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 12: Global AI on EDGE Semiconductor Competitive Analysis of Key Manufacturers (Sales, Revenue, Market Share, Price, Regional Distribution and Industry Concentration)
Chapter 13: Key Company Profiles (Product Portfolio, Sales, Revenue, Price and Gross Margin)
Chapter 14: Industrial Chain Analysis, Include Raw Material Suppliers, Distributors and Customers
Chapter 15: Research Findings and Conclusion
Chapter 16: Methodology and Data Sources
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