Global Artificial Intelligence for Edge Devices Competitive Landscape Professional Research Report 2024

Global Artificial Intelligence for Edge Devices Competitive Landscape Professional Research Report 2024

Research Summary

Artificial Intelligence for Edge Devices refers to the deployment of AI algorithms and models on small devices located at the edge of the network, close to where data is generated. These devices could be sensors, cameras, or other types of smart devices that collect and process data locally. By deploying AI models on edge devices, the need for sending data to the cloud for processing is reduced, which enables faster response times, lower latency, and reduced network congestion. This approach also provides greater privacy and security, as sensitive data does not need to leave the device. AI for edge devices includes a range of technologies, such as machine learning, deep learning, natural language processing, and computer vision. These algorithms are designed to perform specific tasks such as object recognition, classification, prediction, and decision-making. The goal is to enable edge devices to operate autonomously, with minimal human intervention, and to provide real-time insights and actions.

According to DIResearch's in-depth investigation and research, the global Artificial Intelligence for Edge Devices 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 Artificial Intelligence for Edge Devices include Microsoft, Qualcomm, Intel, Google, Alibaba, NVIDIA, Arm, Horizon Robotics, Baidu, Synopsys, Cambricon, MediaTek, Mythic, NXP 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 Artificial Intelligence for Edge Devices. Focus on analysing the market share, product portfolio, 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 Artificial Intelligence for Edge Devices market. The report data covers historical data from 2019 to 2023, base 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 Artificial Intelligence for Edge Devices 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 Artificial Intelligence for Edge Devices 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 Artificial Intelligence for Edge Devices Include:

Microsoft

Qualcomm

Intel

Google

Alibaba

NVIDIA

Arm

Horizon Robotics

Baidu

Synopsys

Cambricon

MediaTek

Mythic

NXP

Artificial Intelligence for Edge Devices Product Segment Include:

Hardware

Software

Artificial Intelligence for Edge Devices Product Application Include:

Automotive

Consumer and Enterprise Robotics

Drones

Head-Mounted Displays

Smart Speakers

Security Cameras

Chapter Scope

Chapter 1: Product Research Range, Product Types and Applications, Market Overview, Market Situation and Trends

Chapter 2: Global Artificial Intelligence for Edge Devices Industry PESTEL Analysis

Chapter 3: Global Artificial Intelligence for Edge Devices Industry Porter’s Five Forces Analysis

Chapter 4: Global Artificial Intelligence for Edge Devices Major Regional Market Size and Forecast Analysis

Chapter 5: Global Artificial Intelligence for Edge Devices Market Size and Forecast by Type and Application Analysis

Chapter 6: North America Artificial Intelligence for Edge Devices Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 7: Europe Artificial Intelligence for Edge Devices Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 8: China Artificial Intelligence for Edge Devices Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 9: APAC (Excl. China) Artificial Intelligence for Edge Devices Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 10: Latin America Artificial Intelligence for Edge Devices Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 11: Middle East and Africa Artificial Intelligence for Edge Devices Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 12: Global Artificial Intelligence for Edge Devices Competitive Analysis of Key Manufacturers (Revenue, Market Share, Regional Distribution and Industry Concentration)

Chapter 13: Key Company Profiles (Product Portfolio, Revenue 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