The global Edge AI System market size was valued at US$ 2171 million in 2024 and is forecast to a readjusted size of USD 3944 million by 2031 with a CAGR of 8.8% during review period.
Edge AI System is a system that combines artificial intelligence (AI) technology with edge computing to process and analyze data on edge devices close to data sources or data generation. Sensors, cameras, etc. on edge devices collect various data, such as environmental data, images, audio, etc. Optimized AI models, such as machine learning and deep learning algorithms, are deployed on edge devices to analyze and process the collected data in real time and extract valuable information. Based on the processing results of the AI ​​model, the edge device directly makes decisions and performs corresponding operations, or transmits the processed data to the cloud or other central systems for further processing and analysis.
Through technologies such as model compression and knowledge distillation, large deep learning models are compressed into smaller models so that they can run on resource-constrained end-side devices. Dedicated AI chips, such as NPU, GPU, etc., as well as heterogeneous computing technologies are used to utilize the collaborative work of multiple computing resources to improve computing power. Including distributed computing and task scheduling, efficient resource utilization and task processing between multiple devices are achieved, and tasks are dynamically allocated and adjusted according to device resource status and task priority.
The increasing requirements for real-time and privacy in smart manufacturing, smart cities, smart healthcare, smart transportation and other fields will continue to drive the growth of market demand for edge AI systems.
Technologies such as model compression, quantization, and pruning will continue to develop, making AI models lighter and more efficient, and running better on resource-constrained edge devices. Technologies such as adaptive learning and federated learning will be further improved, allowing edge AI systems to continuously optimize based on new data. Dedicated AI chips will continue to upgrade to provide stronger computing power and lower power consumption. Heterogeneous computing technology will be more widely used to achieve efficient collaboration of multiple computing resources such as CPU, GPU, and NPU. The popularization of 5G and even 6G networks will make communication between edge devices and with the cloud faster and more stable, reduce latency, and improve the overall performance of edge AI systems. At the same time, the collaborative computing mode between edge devices and the cloud will continue to be optimized to form a more efficient computing system.
In self-driving cars, vehicle sensor data is processed in real time to achieve functions such as automatic emergency braking and lane keeping assist. Smartphones use edge AI to implement voice recognition and natural language processing for smart assistants, as well as real-time beautification, filters, and object recognition for photos and videos. It is used for smart security, real-time analysis of videos captured by cameras, face recognition, abnormal behavior detection, etc.; it can also achieve intelligent control, such as automatically adjusting light brightness according to ambient light. Real-time analysis of images and data on the production line for defect detection and quality assessment; local data processing to predict equipment failures and perform maintenance in advance. Wearable medical devices locally process health data such as heart rate and blood pressure, and provide real-time health advice and warnings; medical instruments use edge AI to achieve ultra-low latency live surgical video to assist minimally invasive surgery.
This report is a detailed and comprehensive analysis for global Edge AI System market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global Edge AI System market size and forecasts, in consumption value ($ Million), 2020-2031
Global Edge AI System market size and forecasts by region and country, in consumption value ($ Million), 2020-2031
Global Edge AI System market size and forecasts, by Type and by Application, in consumption value ($ Million), 2020-2031
Global Edge AI System market shares of main players, in revenue ($ Million), 2020-2025
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for Edge AI System
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global Edge AI System market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include MicroAI, NVIDIA, viso.ai, Advian, Xailient, Axiomtek, Texas Instruments, Cameralyze, Advantech, SINTRONES, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
Edge AI System market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
On-premises
Cloud-based
Market segment by Application
Manufacturing
Energy (Oil and Gas)
Industrial IoT
Autonomous Vehicles
Healthcare (Patient Monitoring)
Smart Homes
Market segment by players, this report covers
MicroAI
NVIDIA
viso.ai
Advian
Xailient
Axiomtek
Texas Instruments
Cameralyze
Advantech
SINTRONES
Stereolabs
Aetina
Xilinx
Neousys Technology
VIA TECHNOLOGIES
Palantir
DIREC
Intel
AAEON Technology
iWave Systems
Market segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe Edge AI System product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Edge AI System, with revenue, gross margin, and global market share of Edge AI System from 2020 to 2025.
Chapter 3, the Edge AI System competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2020 to 2031
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2020 to 2025.and Edge AI System market forecast, by regions, by Type and by Application, with consumption value, from 2026 to 2031.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of Edge AI System.
Chapter 13, to describe Edge AI System research findings and conclusion.
Please Note - This is an on demand report and will be delivered in 2 business days (48 Hours) post payment.
1 Market Overview
1.1 Product Overview and Scope
1.2 Market Estimation Caveats and Base Year
1.3 Classification of Edge AI System by Type
1.3.1 Overview: Global Edge AI System Market Size by Type: 2020 Versus 2024 Versus 2031
1.3.2 Global Edge AI System Consumption Value Market Share by Type in 2024
1.3.3 On-premises
1.3.4 Cloud-based
1.4 Global Edge AI System Market by Application
1.4.1 Overview: Global Edge AI System Market Size by Application: 2020 Versus 2024 Versus 2031
1.4.2 Manufacturing
1.4.3 Energy (Oil and Gas)
1.4.4 Industrial IoT
1.4.5 Autonomous Vehicles
1.4.6 Healthcare (Patient Monitoring)
1.4.7 Smart Homes
1.5 Global Edge AI System Market Size & Forecast
1.6 Global Edge AI System Market Size and Forecast by Region
1.6.1 Global Edge AI System Market Size by Region: 2020 VS 2024 VS 2031
1.6.2 Global Edge AI System Market Size by Region, (2020-2031)
1.6.3 North America Edge AI System Market Size and Prospect (2020-2031)
1.6.4 Europe Edge AI System Market Size and Prospect (2020-2031)
1.6.5 Asia-Pacific Edge AI System Market Size and Prospect (2020-2031)
1.6.6 South America Edge AI System Market Size and Prospect (2020-2031)
1.6.7 Middle East & Africa Edge AI System Market Size and Prospect (2020-2031)
2 Company Profiles
2.1 MicroAI
2.1.1 MicroAI Details
2.1.2 MicroAI Major Business
2.1.3 MicroAI Edge AI System Product and Solutions
2.1.4 MicroAI Edge AI System Revenue, Gross Margin and Market Share (2020-2025)
2.1.5 MicroAI Recent Developments and Future Plans
2.2 NVIDIA
2.2.1 NVIDIA Details
2.2.2 NVIDIA Major Business
2.2.3 NVIDIA Edge AI System Product and Solutions
2.2.4 NVIDIA Edge AI System Revenue, Gross Margin and Market Share (2020-2025)
2.2.5 NVIDIA Recent Developments and Future Plans
2.3 viso.ai
2.3.1 viso.ai Details
2.3.2 viso.ai Major Business
2.3.3 viso.ai Edge AI System Product and Solutions
2.3.4 viso.ai Edge AI System Revenue, Gross Margin and Market Share (2020-2025)
2.3.5 viso.ai Recent Developments and Future Plans
2.4 Advian
2.4.1 Advian Details
2.4.2 Advian Major Business
2.4.3 Advian Edge AI System Product and Solutions
2.4.4 Advian Edge AI System Revenue, Gross Margin and Market Share (2020-2025)
2.4.5 Advian Recent Developments and Future Plans
2.5 Xailient
2.5.1 Xailient Details
2.5.2 Xailient Major Business
2.5.3 Xailient Edge AI System Product and Solutions
2.5.4 Xailient Edge AI System Revenue, Gross Margin and Market Share (2020-2025)
2.5.5 Xailient Recent Developments and Future Plans
2.6 Axiomtek
2.6.1 Axiomtek Details
2.6.2 Axiomtek Major Business
2.6.3 Axiomtek Edge AI System Product and Solutions
2.6.4 Axiomtek Edge AI System Revenue, Gross Margin and Market Share (2020-2025)
2.6.5 Axiomtek Recent Developments and Future Plans
2.7 Texas Instruments
2.7.1 Texas Instruments Details
2.7.2 Texas Instruments Major Business
2.7.3 Texas Instruments Edge AI System Product and Solutions
2.7.4 Texas Instruments Edge AI System Revenue, Gross Margin and Market Share (2020-2025)
2.7.5 Texas Instruments Recent Developments and Future Plans
2.8 Cameralyze
2.8.1 Cameralyze Details
2.8.2 Cameralyze Major Business
2.8.3 Cameralyze Edge AI System Product and Solutions
2.8.4 Cameralyze Edge AI System Revenue, Gross Margin and Market Share (2020-2025)
2.8.5 Cameralyze Recent Developments and Future Plans
2.9 Advantech
2.9.1 Advantech Details
2.9.2 Advantech Major Business
2.9.3 Advantech Edge AI System Product and Solutions
2.9.4 Advantech Edge AI System Revenue, Gross Margin and Market Share (2020-2025)
2.9.5 Advantech Recent Developments and Future Plans
2.10 SINTRONES
2.10.1 SINTRONES Details
2.10.2 SINTRONES Major Business
2.10.3 SINTRONES Edge AI System Product and Solutions
2.10.4 SINTRONES Edge AI System Revenue, Gross Margin and Market Share (2020-2025)
2.10.5 SINTRONES Recent Developments and Future Plans
2.11 Stereolabs
2.11.1 Stereolabs Details
2.11.2 Stereolabs Major Business
2.11.3 Stereolabs Edge AI System Product and Solutions
2.11.4 Stereolabs Edge AI System Revenue, Gross Margin and Market Share (2020-2025)
2.11.5 Stereolabs Recent Developments and Future Plans
2.12 Aetina
2.12.1 Aetina Details
2.12.2 Aetina Major Business
2.12.3 Aetina Edge AI System Product and Solutions
2.12.4 Aetina Edge AI System Revenue, Gross Margin and Market Share (2020-2025)
2.12.5 Aetina Recent Developments and Future Plans
2.13 Xilinx
2.13.1 Xilinx Details
2.13.2 Xilinx Major Business
2.13.3 Xilinx Edge AI System Product and Solutions
2.13.4 Xilinx Edge AI System Revenue, Gross Margin and Market Share (2020-2025)
2.13.5 Xilinx Recent Developments and Future Plans
2.14 Neousys Technology
2.14.1 Neousys Technology Details
2.14.2 Neousys Technology Major Business
2.14.3 Neousys Technology Edge AI System Product and Solutions
2.14.4 Neousys Technology Edge AI System Revenue, Gross Margin and Market Share (2020-2025)
2.14.5 Neousys Technology Recent Developments and Future Plans
2.15 VIA TECHNOLOGIES
2.15.1 VIA TECHNOLOGIES Details
2.15.2 VIA TECHNOLOGIES Major Business
2.15.3 VIA TECHNOLOGIES Edge AI System Product and Solutions
2.15.4 VIA TECHNOLOGIES Edge AI System Revenue, Gross Margin and Market Share (2020-2025)
2.15.5 VIA TECHNOLOGIES Recent Developments and Future Plans
2.16 Palantir
2.16.1 Palantir Details
2.16.2 Palantir Major Business
2.16.3 Palantir Edge AI System Product and Solutions
2.16.4 Palantir Edge AI System Revenue, Gross Margin and Market Share (2020-2025)
2.16.5 Palantir Recent Developments and Future Plans
2.17 DIREC
2.17.1 DIREC Details
2.17.2 DIREC Major Business
2.17.3 DIREC Edge AI System Product and Solutions
2.17.4 DIREC Edge AI System Revenue, Gross Margin and Market Share (2020-2025)
2.17.5 DIREC Recent Developments and Future Plans
2.18 Intel
2.18.1 Intel Details
2.18.2 Intel Major Business
2.18.3 Intel Edge AI System Product and Solutions
2.18.4 Intel Edge AI System Revenue, Gross Margin and Market Share (2020-2025)
2.18.5 Intel Recent Developments and Future Plans
2.19 AAEON Technology
2.19.1 AAEON Technology Details
2.19.2 AAEON Technology Major Business
2.19.3 AAEON Technology Edge AI System Product and Solutions
2.19.4 AAEON Technology Edge AI System Revenue, Gross Margin and Market Share (2020-2025)
2.19.5 AAEON Technology Recent Developments and Future Plans
2.20 iWave Systems
2.20.1 iWave Systems Details
2.20.2 iWave Systems Major Business
2.20.3 iWave Systems Edge AI System Product and Solutions
2.20.4 iWave Systems Edge AI System Revenue, Gross Margin and Market Share (2020-2025)
2.20.5 iWave Systems Recent Developments and Future Plans
3 Market Competition, by Players
3.1 Global Edge AI System Revenue and Share by Players (2020-2025)
3.2 Market Share Analysis (2024)
3.2.1 Market Share of Edge AI System by Company Revenue
3.2.2 Top 3 Edge AI System Players Market Share in 2024
3.2.3 Top 6 Edge AI System Players Market Share in 2024
3.3 Edge AI System Market: Overall Company Footprint Analysis
3.3.1 Edge AI System Market: Region Footprint
3.3.2 Edge AI System Market: Company Product Type Footprint
3.3.3 Edge AI System Market: Company Product Application Footprint
3.4 New Market Entrants and Barriers to Market Entry
3.5 Mergers, Acquisition, Agreements, and Collaborations
4 Market Size Segment by Type
4.1 Global Edge AI System Consumption Value and Market Share by Type (2020-2025)
4.2 Global Edge AI System Market Forecast by Type (2026-2031)
5 Market Size Segment by Application
5.1 Global Edge AI System Consumption Value Market Share by Application (2020-2025)
5.2 Global Edge AI System Market Forecast by Application (2026-2031)
6 North America
6.1 North America Edge AI System Consumption Value by Type (2020-2031)
6.2 North America Edge AI System Market Size by Application (2020-2031)
6.3 North America Edge AI System Market Size by Country
6.3.1 North America Edge AI System Consumption Value by Country (2020-2031)
6.3.2 United States Edge AI System Market Size and Forecast (2020-2031)
6.3.3 Canada Edge AI System Market Size and Forecast (2020-2031)
6.3.4 Mexico Edge AI System Market Size and Forecast (2020-2031)
7 Europe
7.1 Europe Edge AI System Consumption Value by Type (2020-2031)
7.2 Europe Edge AI System Consumption Value by Application (2020-2031)
7.3 Europe Edge AI System Market Size by Country
7.3.1 Europe Edge AI System Consumption Value by Country (2020-2031)
7.3.2 Germany Edge AI System Market Size and Forecast (2020-2031)
7.3.3 France Edge AI System Market Size and Forecast (2020-2031)
7.3.4 United Kingdom Edge AI System Market Size and Forecast (2020-2031)
7.3.5 Russia Edge AI System Market Size and Forecast (2020-2031)
7.3.6 Italy Edge AI System Market Size and Forecast (2020-2031)
8 Asia-Pacific
8.1 Asia-Pacific Edge AI System Consumption Value by Type (2020-2031)
8.2 Asia-Pacific Edge AI System Consumption Value by Application (2020-2031)
8.3 Asia-Pacific Edge AI System Market Size by Region
8.3.1 Asia-Pacific Edge AI System Consumption Value by Region (2020-2031)
8.3.2 China Edge AI System Market Size and Forecast (2020-2031)
8.3.3 Japan Edge AI System Market Size and Forecast (2020-2031)
8.3.4 South Korea Edge AI System Market Size and Forecast (2020-2031)
8.3.5 India Edge AI System Market Size and Forecast (2020-2031)
8.3.6 Southeast Asia Edge AI System Market Size and Forecast (2020-2031)
8.3.7 Australia Edge AI System Market Size and Forecast (2020-2031)
9 South America
9.1 South America Edge AI System Consumption Value by Type (2020-2031)
9.2 South America Edge AI System Consumption Value by Application (2020-2031)
9.3 South America Edge AI System Market Size by Country
9.3.1 South America Edge AI System Consumption Value by Country (2020-2031)
9.3.2 Brazil Edge AI System Market Size and Forecast (2020-2031)
9.3.3 Argentina Edge AI System Market Size and Forecast (2020-2031)
10 Middle East & Africa
10.1 Middle East & Africa Edge AI System Consumption Value by Type (2020-2031)
10.2 Middle East & Africa Edge AI System Consumption Value by Application (2020-2031)
10.3 Middle East & Africa Edge AI System Market Size by Country
10.3.1 Middle East & Africa Edge AI System Consumption Value by Country (2020-2031)
10.3.2 Turkey Edge AI System Market Size and Forecast (2020-2031)
10.3.3 Saudi Arabia Edge AI System Market Size and Forecast (2020-2031)
10.3.4 UAE Edge AI System Market Size and Forecast (2020-2031)
11 Market Dynamics
11.1 Edge AI System Market Drivers
11.2 Edge AI System Market Restraints
11.3 Edge AI System Trends Analysis
11.4 Porters Five Forces Analysis
11.4.1 Threat of New Entrants
11.4.2 Bargaining Power of Suppliers
11.4.3 Bargaining Power of Buyers
11.4.4 Threat of Substitutes
11.4.5 Competitive Rivalry
12 Industry Chain Analysis
12.1 Edge AI System Industry Chain
12.2 Edge AI System Upstream Analysis
12.3 Edge AI System Midstream Analysis
12.4 Edge AI System Downstream Analysis
13 Research Findings and Conclusion
14 Appendix
14.1 Methodology
14.2 Research Process and Data Source
14.3 Disclaimer
MicroAI
NVIDIA
viso.ai
Advian
Xailient
Axiomtek
Texas Instruments
Cameralyze
Advantech
SINTRONES
Stereolabs
Aetina
Xilinx
Neousys Technology
VIA TECHNOLOGIES
Palantir
DIREC
Intel
AAEON Technology
iWave Systems
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*If Applicable.