Global Artificial Intelligence for Edge Devices Market Analysis and Forecast 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.

According to APO Research, The global Artificial Intelligence for Edge Devices market is projected to grow from US$ million in 2025 to US$ million by 2031, at a Compound Annual Growth Rate (CAGR) of % during the forecast period.

The North America market for Artificial Intelligence for Edge Devices is estimated to increase from $ million in 2025 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.

Asia-Pacific market for Artificial Intelligence for Edge Devices is estimated to increase from $ million in 2025 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.

The China market for Artificial Intelligence for Edge Devices is estimated to increase from $ million in 2025 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.

Europe market for Artificial Intelligence for Edge Devices is estimated to increase from $ million in 2025 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.

The major global companies of Artificial Intelligence for Edge Devices include Microsoft, Qualcomm, Intel, Google, Alibaba, NVIDIA, Arm, Horizon Robotics and Baidu, etc. In 2024, the world's top three vendors accounted for approximately % of the revenue.

Report Includes

This report presents an overview of global market for Artificial Intelligence for Edge Devices, market size. Analyses of the global market trends, with historic market revenue data for 2020 - 2024, estimates for 2025, and projections of CAGR through 2031.

This report researches the key producers of Artificial Intelligence for Edge Devices, also provides the revenue of main regions and countries. Of the upcoming market potential for Artificial Intelligence for Edge Devices, and key regions or countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.

This report focuses on the Artificial Intelligence for Edge Devices revenue, market share and industry ranking of main manufacturers, data from 2020 to 2025. Identification of the major stakeholders in the global Artificial Intelligence for Edge Devices market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.

This report analyzes the segments data by Type and by Application, revenue, and growth rate, from 2020 to 2031. Evaluation and forecast the market size for Artificial Intelligence for Edge Devices revenue, projected growth trends, production technology, application and end-user industry.

Microsoft

Qualcomm

Intel

Google

Alibaba

NVIDIA

Arm

Horizon Robotics

Baidu

Synopsys

Cambricon

MediaTek

Mythic

NXP

Hardware

Software

Automotive

Consumer and Enterprise Robotics

Drones

Head-Mounted Displays

Smart Speakers

Security Cameras

North America

United States

Canada

Mexico

Europe

Germany

France

U.K.

Italy

Russia

Spain

Netherlands

Switzerland

Sweden

Poland

Asia-Pacific

China

Japan

South Korea

India

Australia

Taiwan

Southeast Asia

South America

Brazil

Argentina

Chile

Middle East & Africa

Egypt

South Africa

Israel

Türkiye

GCC Countries

Study Objectives

1. To analyze and research the global status and future forecast, involving growth rate (CAGR), market share, historical and forecast.

2. To present the key players, revenue, market share, and Recent Developments.

3. To split the breakdown data by regions, type, manufacturers, and Application.

4. To analyze the global and key regions market potential and advantage, opportunity and challenge, restraints, and risks.

5. To identify significant trends, drivers, influence factors in global and regions.

6. To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.

1. This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global Artificial Intelligence for Edge Devices market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.

2. This report will help stakeholders to understand the global industry status and trends of Artificial Intelligence for Edge Devices and provides them with information on key market drivers, restraints, challenges, and opportunities.

3. This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in market size), competitor ecosystem, new product development, expansion, and acquisition.

4. This report stays updated with novel technology integration, features, and the latest developments in the market.

5. This report helps stakeholders to gain insights into which regions to target globally.

6. This report helps stakeholders to gain insights into the end-user perception concerning the adoption of Artificial Intelligence for Edge Devices.

7. This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.

Chapter 1: Introduces the report scope of the report, executive summary of different market segments (product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.

Chapter 2: Introduces 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 3: Revenue of Artificial Intelligence for Edge Devices in global and regional level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.

Chapter 4: Detailed analysis of Artificial Intelligence for Edge Devices company competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.

Chapter 5: Provides the analysis of various market segments by type, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different market segments.

Chapter 6: Provides the analysis of various market segments by application, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.

Chapter 7: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Artificial Intelligence for Edge Devices revenue, gross margin, and recent development, etc.

Chapter 8: North America by type, by application and by country, revenue for each segment.

Chapter 9: Europe by type, by application and by country, revenue for each segment.

Chapter 10: China type, by application, revenue for each segment.

Chapter 11: Asia (excluding China) type, by application and by region, revenue for each segment.

Chapter 12: South America, Middle East and Africa by type, by application and by country, revenue for each segment.

Chapter 13: The main concluding insights of the report.