Global AI on EDGE Semiconductor Competitive Landscape Professional Research Report 2024

Global AI on EDGE Semiconductor Competitive Landscape Professional Research Report 2024

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 will reach XX US$ Million in 2024, and is expected to reach XX US$ Million in 2030, with a CAGR of XX% (2025-2030). Among them, the China market has changed rapidly in the past few years. The market size in 2024 will be XX US$ Million, accounting for approximately XX% of the world. It is expected to reach XX US$ Million in 2030, and the global share will reach XX%.

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 tiers is the global leading enterprise, which occupies a major market share, is in a leading position in the industry, has strong competitiveness and influence, and has a large revenue scale; the second tiers has a certain share and popularity in the market, actively follows the industry leaders in product, service or technological innovation, and has a medium revenue scale; the third tiers has a smaller share in the market, has a lower brand awareness, mainly focuses on the local market, and has a relatively small revenue scale.

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 volume, 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 2019 to 2023, based year in 2024 and forecast data from 2025 to 2030.

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