Summary

The global market for Artificial Intelligence for Edge Devices was estimated to be worth US$ 5008 million in 2024 and is forecast to a readjusted size of US$ 20907 million by 2031 with a CAGR of 22.4% during the forecast period 2025-2031.
Artificial intelligence (AI) processing today is mostly done in a cloud-based data center. The majority of AI processing is dominated by training of deep learning models, which requires heavy compute capacity. Artificial intelligence for edge devices means that AI software algorithms are processed locally on a hardware device. The algorithms are using data (sensor data or signals) that are created on the device. A device using Edge AI software does not need to be connected in order to work properly, it can process data and take decisions independently without a connection. In this report, artificial intelligence for edge devices contains software tools, platforms, artificial intelligence chip.

Many emerging applications—from autonomous driving to robotics and industrial automation—require instantaneous insights that cloud-based systems cannot always provide due to latency issues. AI at the edge eliminates delays by processing data locally, enabling real-time decision-making essential for safety-critical and time-sensitive operations.
The explosive growth of IoT ecosystems is generating massive data volumes. Transmitting all of this data to cloud servers is expensive and inefficient. Edge AI allows devices to analyze data locally, reducing bandwidth requirements and ensuring faster, scalable, and cost-effective IoT deployments across smart homes, factories, healthcare, and agriculture.
The rollout of 5G technology is enabling edge devices to achieve higher bandwidth and ultra-low latency communication. This synergy allows AI-enabled edge devices to support advanced applications like augmented/virtual reality (AR/VR), smart cities, connected healthcare, and intelligent transportation systems, further accelerating adoption.

With stricter regulations such as GDPR, HIPAA, and CCPA, organizations are under pressure to ensure data security. Edge AI enhances privacy compliance by keeping sensitive information (e.g., medical data, financial transactions, personal identifiers) on local devices instead of transmitting it to centralized servers. This makes it particularly valuable in healthcare, finance, and government applications.
The development of AI-specific chips (such as GPUs, TPUs, and NPUs) and optimized microcontrollers is making it feasible to run complex AI models directly on edge devices. Innovations in low-power AI accelerators and neuromorphic computing are enhancing performance while reducing energy consumption, broadening the range of devices that can leverage AI capabilities.

This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence for Edge Devices, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Artificial Intelligence for Edge Devices by region & country, by Type, and by Application.
The Artificial Intelligence for Edge Devices market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Artificial Intelligence for Edge Devices.

Market Segmentation
By Company
Microsoft
Qualcomm
Intel
Google
Alibaba
NVIDIA
Arm
Horizon Robotics
Baidu
Synopsys
Cambricon
MediaTek
Mythic
NXP
Segment by Type
Hardware
Software
Segment by Application
Automotive
Consumer and Enterprise Robotics
Drones
Head-Mounted Displays
Smart Speakers
Security Cameras
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia-Pacific
Europe
Germany
France
U.K.
Italy
Netherlands
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Artificial Intelligence for Edge Devices company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of Artificial Intelligence for Edge Devices in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Artificial Intelligence for Edge Devices in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

ページTOPに戻る

Table of Contents

1 Market Overview
1.1 Artificial Intelligence for Edge Devices Product Introduction
1.2 Global Artificial Intelligence for Edge Devices Market Size Forecast (2020-2031)
1.3 Artificial Intelligence for Edge Devices Market Trends & Drivers
1.3.1 Artificial Intelligence for Edge Devices Industry Trends
1.3.2 Artificial Intelligence for Edge Devices Market Drivers & Opportunity
1.3.3 Artificial Intelligence for Edge Devices Market Challenges
1.3.4 Artificial Intelligence for Edge Devices Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Artificial Intelligence for Edge Devices Players Revenue Ranking (2024)
2.2 Global Artificial Intelligence for Edge Devices Revenue by Company (2020-2025)
2.3 Key Companies Artificial Intelligence for Edge Devices Manufacturing Base Distribution and Headquarters
2.4 Key Companies Artificial Intelligence for Edge Devices Product Offered
2.5 Key Companies Time to Begin Mass Production of Artificial Intelligence for Edge Devices
2.6 Artificial Intelligence for Edge Devices Market Competitive Analysis
2.6.1 Artificial Intelligence for Edge Devices Market Concentration Rate (2020-2025)
2.6.2 Global 5 and 10 Largest Companies by Artificial Intelligence for Edge Devices Revenue in 2024
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Artificial Intelligence for Edge Devices as of 2024)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Hardware
3.1.2 Software
3.2 Global Artificial Intelligence for Edge Devices Sales Value by Type
3.2.1 Global Artificial Intelligence for Edge Devices Sales Value by Type (2020 VS 2024 VS 2031)
3.2.2 Global Artificial Intelligence for Edge Devices Sales Value, by Type (2020-2031)
3.2.3 Global Artificial Intelligence for Edge Devices Sales Value, by Type (%) (2020-2031)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Automotive
4.1.2 Consumer and Enterprise Robotics
4.1.3 Drones
4.1.4 Head-Mounted Displays
4.1.5 Smart Speakers
4.1.6 Security Cameras
4.2 Global Artificial Intelligence for Edge Devices Sales Value by Application
4.2.1 Global Artificial Intelligence for Edge Devices Sales Value by Application (2020 VS 2024 VS 2031)
4.2.2 Global Artificial Intelligence for Edge Devices Sales Value, by Application (2020-2031)
4.2.3 Global Artificial Intelligence for Edge Devices Sales Value, by Application (%) (2020-2031)
5 Segmentation by Region
5.1 Global Artificial Intelligence for Edge Devices Sales Value by Region
5.1.1 Global Artificial Intelligence for Edge Devices Sales Value by Region: 2020 VS 2024 VS 2031
5.1.2 Global Artificial Intelligence for Edge Devices Sales Value by Region (2020-2025)
5.1.3 Global Artificial Intelligence for Edge Devices Sales Value by Region (2026-2031)
5.1.4 Global Artificial Intelligence for Edge Devices Sales Value by Region (%), (2020-2031)
5.2 North America
5.2.1 North America Artificial Intelligence for Edge Devices Sales Value, 2020-2031
5.2.2 North America Artificial Intelligence for Edge Devices Sales Value by Country (%), 2024 VS 2031
5.3 Europe
5.3.1 Europe Artificial Intelligence for Edge Devices Sales Value, 2020-2031
5.3.2 Europe Artificial Intelligence for Edge Devices Sales Value by Country (%), 2024 VS 2031
5.4 Asia Pacific
5.4.1 Asia Pacific Artificial Intelligence for Edge Devices Sales Value, 2020-2031
5.4.2 Asia Pacific Artificial Intelligence for Edge Devices Sales Value by Region (%), 2024 VS 2031
5.5 South America
5.5.1 South America Artificial Intelligence for Edge Devices Sales Value, 2020-2031
5.5.2 South America Artificial Intelligence for Edge Devices Sales Value by Country (%), 2024 VS 2031
5.6 Middle East & Africa
5.6.1 Middle East & Africa Artificial Intelligence for Edge Devices Sales Value, 2020-2031
5.6.2 Middle East & Africa Artificial Intelligence for Edge Devices Sales Value by Country (%), 2024 VS 2031
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Artificial Intelligence for Edge Devices Sales Value Growth Trends, 2020 VS 2024 VS 2031
6.2 Key Countries/Regions Artificial Intelligence for Edge Devices Sales Value, 2020-2031
6.3 United States
6.3.1 United States Artificial Intelligence for Edge Devices Sales Value, 2020-2031
6.3.2 United States Artificial Intelligence for Edge Devices Sales Value by Type (%), 2024 VS 2031
6.3.3 United States Artificial Intelligence for Edge Devices Sales Value by Application, 2024 VS 2031
6.4 Europe
6.4.1 Europe Artificial Intelligence for Edge Devices Sales Value, 2020-2031
6.4.2 Europe Artificial Intelligence for Edge Devices Sales Value by Type (%), 2024 VS 2031
6.4.3 Europe Artificial Intelligence for Edge Devices Sales Value by Application, 2024 VS 2031
6.5 China
6.5.1 China Artificial Intelligence for Edge Devices Sales Value, 2020-2031
6.5.2 China Artificial Intelligence for Edge Devices Sales Value by Type (%), 2024 VS 2031
6.5.3 China Artificial Intelligence for Edge Devices Sales Value by Application, 2024 VS 2031
6.6 Japan
6.6.1 Japan Artificial Intelligence for Edge Devices Sales Value, 2020-2031
6.6.2 Japan Artificial Intelligence for Edge Devices Sales Value by Type (%), 2024 VS 2031
6.6.3 Japan Artificial Intelligence for Edge Devices Sales Value by Application, 2024 VS 2031
6.7 South Korea
6.7.1 South Korea Artificial Intelligence for Edge Devices Sales Value, 2020-2031
6.7.2 South Korea Artificial Intelligence for Edge Devices Sales Value by Type (%), 2024 VS 2031
6.7.3 South Korea Artificial Intelligence for Edge Devices Sales Value by Application, 2024 VS 2031
6.8 Southeast Asia
6.8.1 Southeast Asia Artificial Intelligence for Edge Devices Sales Value, 2020-2031
6.8.2 Southeast Asia Artificial Intelligence for Edge Devices Sales Value by Type (%), 2024 VS 2031
6.8.3 Southeast Asia Artificial Intelligence for Edge Devices Sales Value by Application, 2024 VS 2031
6.9 India
6.9.1 India Artificial Intelligence for Edge Devices Sales Value, 2020-2031
6.9.2 India Artificial Intelligence for Edge Devices Sales Value by Type (%), 2024 VS 2031
6.9.3 India Artificial Intelligence for Edge Devices Sales Value by Application, 2024 VS 2031
7 Company Profiles
7.1 Microsoft
7.1.1 Microsoft Profile
7.1.2 Microsoft Main Business
7.1.3 Microsoft Artificial Intelligence for Edge Devices Products, Services and Solutions
7.1.4 Microsoft Artificial Intelligence for Edge Devices Revenue (US$ Million) & (2020-2025)
7.1.5 Microsoft Recent Developments
7.2 Qualcomm
7.2.1 Qualcomm Profile
7.2.2 Qualcomm Main Business
7.2.3 Qualcomm Artificial Intelligence for Edge Devices Products, Services and Solutions
7.2.4 Qualcomm Artificial Intelligence for Edge Devices Revenue (US$ Million) & (2020-2025)
7.2.5 Qualcomm Recent Developments
7.3 Intel
7.3.1 Intel Profile
7.3.2 Intel Main Business
7.3.3 Intel Artificial Intelligence for Edge Devices Products, Services and Solutions
7.3.4 Intel Artificial Intelligence for Edge Devices Revenue (US$ Million) & (2020-2025)
7.3.5 Intel Recent Developments
7.4 Google
7.4.1 Google Profile
7.4.2 Google Main Business
7.4.3 Google Artificial Intelligence for Edge Devices Products, Services and Solutions
7.4.4 Google Artificial Intelligence for Edge Devices Revenue (US$ Million) & (2020-2025)
7.4.5 Google Recent Developments
7.5 Alibaba
7.5.1 Alibaba Profile
7.5.2 Alibaba Main Business
7.5.3 Alibaba Artificial Intelligence for Edge Devices Products, Services and Solutions
7.5.4 Alibaba Artificial Intelligence for Edge Devices Revenue (US$ Million) & (2020-2025)
7.5.5 Alibaba Recent Developments
7.6 NVIDIA
7.6.1 NVIDIA Profile
7.6.2 NVIDIA Main Business
7.6.3 NVIDIA Artificial Intelligence for Edge Devices Products, Services and Solutions
7.6.4 NVIDIA Artificial Intelligence for Edge Devices Revenue (US$ Million) & (2020-2025)
7.6.5 NVIDIA Recent Developments
7.7 Arm
7.7.1 Arm Profile
7.7.2 Arm Main Business
7.7.3 Arm Artificial Intelligence for Edge Devices Products, Services and Solutions
7.7.4 Arm Artificial Intelligence for Edge Devices Revenue (US$ Million) & (2020-2025)
7.7.5 Arm Recent Developments
7.8 Horizon Robotics
7.8.1 Horizon Robotics Profile
7.8.2 Horizon Robotics Main Business
7.8.3 Horizon Robotics Artificial Intelligence for Edge Devices Products, Services and Solutions
7.8.4 Horizon Robotics Artificial Intelligence for Edge Devices Revenue (US$ Million) & (2020-2025)
7.8.5 Horizon Robotics Recent Developments
7.9 Baidu
7.9.1 Baidu Profile
7.9.2 Baidu Main Business
7.9.3 Baidu Artificial Intelligence for Edge Devices Products, Services and Solutions
7.9.4 Baidu Artificial Intelligence for Edge Devices Revenue (US$ Million) & (2020-2025)
7.9.5 Baidu Recent Developments
7.10 Synopsys
7.10.1 Synopsys Profile
7.10.2 Synopsys Main Business
7.10.3 Synopsys Artificial Intelligence for Edge Devices Products, Services and Solutions
7.10.4 Synopsys Artificial Intelligence for Edge Devices Revenue (US$ Million) & (2020-2025)
7.10.5 Synopsys Recent Developments
7.11 Cambricon
7.11.1 Cambricon Profile
7.11.2 Cambricon Main Business
7.11.3 Cambricon Artificial Intelligence for Edge Devices Products, Services and Solutions
7.11.4 Cambricon Artificial Intelligence for Edge Devices Revenue (US$ Million) & (2020-2025)
7.11.5 Cambricon Recent Developments
7.12 MediaTek
7.12.1 MediaTek Profile
7.12.2 MediaTek Main Business
7.12.3 MediaTek Artificial Intelligence for Edge Devices Products, Services and Solutions
7.12.4 MediaTek Artificial Intelligence for Edge Devices Revenue (US$ Million) & (2020-2025)
7.12.5 MediaTek Recent Developments
7.13 Mythic
7.13.1 Mythic Profile
7.13.2 Mythic Main Business
7.13.3 Mythic Artificial Intelligence for Edge Devices Products, Services and Solutions
7.13.4 Mythic Artificial Intelligence for Edge Devices Revenue (US$ Million) & (2020-2025)
7.13.5 Mythic Recent Developments
7.14 NXP
7.14.1 NXP Profile
7.14.2 NXP Main Business
7.14.3 NXP Artificial Intelligence for Edge Devices Products, Services and Solutions
7.14.4 NXP Artificial Intelligence for Edge Devices Revenue (US$ Million) & (2020-2025)
7.14.5 NXP Recent Developments
8 Industry Chain Analysis
8.1 Artificial Intelligence for Edge Devices Industrial Chain
8.2 Artificial Intelligence for Edge Devices Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Artificial Intelligence for Edge Devices Sales Model
8.5.2 Sales Channel
8.5.3 Artificial Intelligence for Edge Devices Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.1.1 Research Programs/Design
10.1.1.2 Market Size Estimation
10.1.1.3 Market Breakdown and Data Triangulation
10.1.2 Data Source
10.1.2.1 Secondary Sources
10.1.2.2 Primary Sources
10.2 Author Details
10.3 Disclaimer