Global Artificial Intelligence for Edge Devices Market Research Report 2026(Status and Outlook)
Description
Report Overview
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.
The global Artificial Intelligence for Edge Devices market size was estimated at USD 5008.0 million in 2025 and is projected to grow at a compound annual growth rate (CAGR) of 22.40% during the forecast period.
This report offers a comprehensive and in-depth analysis of the global Artificial Intelligence for Edge Devices market, covering all critical facets from a broad macroeconomic overview to detailed micro-level insights. It examines market size, competitive landscape, emerging development trends, niche segments, key drivers and challenges, as well as conducts SWOT and value chain analyses.
The insights provided enable readers to understand the competitive dynamics within the industry and formulate effective strategies to enhance profitability and market positioning. Additionally, the report presents a clear framework for evaluating the current status and future outlook of business organizations operating in this sector.
A significant focus of this report lies in the competitive landscape of the global Artificial Intelligence for Edge Devices market. It offers detailed profiles of major players, including their market shares, performance metrics, product portfolios, and operational status. This enables stakeholders to identify leading competitors and gain a nuanced understanding of market rivalry and structure.
In summary, this report serves as an essential resource for industry participants, investors, researchers, consultants, and business strategists, as well as anyone planning to enter or expand their presence in the Artificial Intelligence for Edge Devices market.
Global Artificial Intelligence for Edge Devices Market: Market Segmentation Analysis
This research report provides a detailed segmentation of the market by region (country), key manufacturers, product type, and application. Market segmentation divides the overall market into distinct subsets based on factors such as product categories, end-user industries, geographic locations, and other relevant criteria.
A clear understanding of these market segments enables decision-makers to tailor their product development, sales, and marketing strategies more effectively to meet the unique needs of each segment. Leveraging market segmentation insights can significantly enhance targeted approaches, optimize resource allocation, and accelerate product innovation cycles by aligning offerings with the specific demands of diverse customer groups.
Key Company
Microsoft
Qualcomm
Intel
Google
Alibaba
NVIDIA
Arm
Horizon Robotics
Baidu
Synopsys
Cambricon
MediaTek
Mythic
NXP
Market Segmentation (by Type)
Hardware
Software
Market Segmentation (by Application)
Automotive
Consumer and Enterprise Robotics
Drones
Head-Mounted Displays
Smart Speakers
Security Cameras
Geographic Segmentation
North America (USA, Canada, Mexico)
Europe (Germany, UK, France, Russia, Italy, Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Rest of Asia-Pacific)
South America (Brazil, Argentina, Columbia, Rest of South America)
The Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, South Africa, Rest of MEA)
Key Benefits of This Market Research:
Industry drivers, restraints, and opportunities covered in the study
Neutral perspective on the market performance
Recent industry trends and developments
Competitive landscape & strategies of key players
Potential & niche segments and regions exhibiting promising growth covered
Historical, current, and projected market size, in terms of value
In-depth analysis of the Artificial Intelligence for Edge Devices Market
Overview of the regional outlook of the Artificial Intelligence for Edge Devices Market:
Chapter Outline
Chapter 1 mainly introduces the statistical scope of the report, market division standards, and market research methods.
Chapter 2 is an executive summary of different market segments (by region, 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 Artificial Intelligence for Edge Devices Market and its likely evolution in the short to mid-term, and long term.
Chapter 3 makes a detailed analysis of the market's competitive landscape of the market and provides the market share, capacity, output, price, latest development plan, merger, and acquisition information of the main manufacturers in the market.
Chapter 4 is the analysis of the whole market industrial chain, including the upstream and downstream of the industry, as well as Porter's five forces analysis.
Chapter 5 introduces the 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 6 provides the analysis of various market segments according to product types, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 7 provides the analysis of various market segments according to 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 8 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 9 shares the main producing countries of Artificial Intelligence for Edge Devices, their output value, profit level, regional supply, production capacity layout, etc. from the supply side.
Chapter 10 introduces the basic situation of the main companies in the market in detail, including product sales revenue, sales volume, price, gross profit margin, market share, product introduction, recent development, etc.
Chapter 11 provides a quantitative analysis of the market size and development potential of each region in the next five years.
Chapter 12 provides a quantitative analysis of the market size and development potential of each market segment in the next five years.
Chapter 13 is the main points and conclusions of the report.
Key Reasons to Buy this Report:
Access to date statistics compiled by our researchers. These provide you with historical and forecast data, which is analyzed to tell you why your market is set to change
This enables you to anticipate market changes to remain ahead of your competitors
You will be able to copy data from the Excel spreadsheet straight into your marketing plans, business presentations, or other strategic documents
The concise analysis, clear graph, and table format will enable you to pinpoint the information you require quickly
Provision of market value data for each segment and sub-segment
Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market
Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region
Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions, and acquisitions in the past five years of companies profiled
Extensive company profiles comprising of company overview, company insights, product benchmarking, and SWOT analysis for the major market players
The current as well as the future market outlook of the industry concerning recent developments which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions
Includes in-depth analysis of the market from various perspectives through Porter’s five forces analysis
Provides insight into the market through Value Chain
Market dynamics scenario, along with growth opportunities of the market in the years to come
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.
The global Artificial Intelligence for Edge Devices market size was estimated at USD 5008.0 million in 2025 and is projected to grow at a compound annual growth rate (CAGR) of 22.40% during the forecast period.
This report offers a comprehensive and in-depth analysis of the global Artificial Intelligence for Edge Devices market, covering all critical facets from a broad macroeconomic overview to detailed micro-level insights. It examines market size, competitive landscape, emerging development trends, niche segments, key drivers and challenges, as well as conducts SWOT and value chain analyses.
The insights provided enable readers to understand the competitive dynamics within the industry and formulate effective strategies to enhance profitability and market positioning. Additionally, the report presents a clear framework for evaluating the current status and future outlook of business organizations operating in this sector.
A significant focus of this report lies in the competitive landscape of the global Artificial Intelligence for Edge Devices market. It offers detailed profiles of major players, including their market shares, performance metrics, product portfolios, and operational status. This enables stakeholders to identify leading competitors and gain a nuanced understanding of market rivalry and structure.
In summary, this report serves as an essential resource for industry participants, investors, researchers, consultants, and business strategists, as well as anyone planning to enter or expand their presence in the Artificial Intelligence for Edge Devices market.
Global Artificial Intelligence for Edge Devices Market: Market Segmentation Analysis
This research report provides a detailed segmentation of the market by region (country), key manufacturers, product type, and application. Market segmentation divides the overall market into distinct subsets based on factors such as product categories, end-user industries, geographic locations, and other relevant criteria.
A clear understanding of these market segments enables decision-makers to tailor their product development, sales, and marketing strategies more effectively to meet the unique needs of each segment. Leveraging market segmentation insights can significantly enhance targeted approaches, optimize resource allocation, and accelerate product innovation cycles by aligning offerings with the specific demands of diverse customer groups.
Key Company
Microsoft
Qualcomm
Intel
Alibaba
NVIDIA
Arm
Horizon Robotics
Baidu
Synopsys
Cambricon
MediaTek
Mythic
NXP
Market Segmentation (by Type)
Hardware
Software
Market Segmentation (by Application)
Automotive
Consumer and Enterprise Robotics
Drones
Head-Mounted Displays
Smart Speakers
Security Cameras
Geographic Segmentation
North America (USA, Canada, Mexico)
Europe (Germany, UK, France, Russia, Italy, Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Rest of Asia-Pacific)
South America (Brazil, Argentina, Columbia, Rest of South America)
The Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, South Africa, Rest of MEA)
Key Benefits of This Market Research:
Industry drivers, restraints, and opportunities covered in the study
Neutral perspective on the market performance
Recent industry trends and developments
Competitive landscape & strategies of key players
Potential & niche segments and regions exhibiting promising growth covered
Historical, current, and projected market size, in terms of value
In-depth analysis of the Artificial Intelligence for Edge Devices Market
Overview of the regional outlook of the Artificial Intelligence for Edge Devices Market:
Chapter Outline
Chapter 1 mainly introduces the statistical scope of the report, market division standards, and market research methods.
Chapter 2 is an executive summary of different market segments (by region, 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 Artificial Intelligence for Edge Devices Market and its likely evolution in the short to mid-term, and long term.
Chapter 3 makes a detailed analysis of the market's competitive landscape of the market and provides the market share, capacity, output, price, latest development plan, merger, and acquisition information of the main manufacturers in the market.
Chapter 4 is the analysis of the whole market industrial chain, including the upstream and downstream of the industry, as well as Porter's five forces analysis.
Chapter 5 introduces the 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 6 provides the analysis of various market segments according to product types, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 7 provides the analysis of various market segments according to 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 8 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 9 shares the main producing countries of Artificial Intelligence for Edge Devices, their output value, profit level, regional supply, production capacity layout, etc. from the supply side.
Chapter 10 introduces the basic situation of the main companies in the market in detail, including product sales revenue, sales volume, price, gross profit margin, market share, product introduction, recent development, etc.
Chapter 11 provides a quantitative analysis of the market size and development potential of each region in the next five years.
Chapter 12 provides a quantitative analysis of the market size and development potential of each market segment in the next five years.
Chapter 13 is the main points and conclusions of the report.
Key Reasons to Buy this Report:
Access to date statistics compiled by our researchers. These provide you with historical and forecast data, which is analyzed to tell you why your market is set to change
This enables you to anticipate market changes to remain ahead of your competitors
You will be able to copy data from the Excel spreadsheet straight into your marketing plans, business presentations, or other strategic documents
The concise analysis, clear graph, and table format will enable you to pinpoint the information you require quickly
Provision of market value data for each segment and sub-segment
Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market
Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region
Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions, and acquisitions in the past five years of companies profiled
Extensive company profiles comprising of company overview, company insights, product benchmarking, and SWOT analysis for the major market players
The current as well as the future market outlook of the industry concerning recent developments which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions
Includes in-depth analysis of the market from various perspectives through Porter’s five forces analysis
Provides insight into the market through Value Chain
Market dynamics scenario, along with growth opportunities of the market in the years to come
Table of Contents
154 Pages
- 1 Research Methodology and Statistical Scope
- 1.1 Market Definition and Statistical Scope of Artificial Intelligence for Edge Devices
- 1.2 Key Market Segments
- 1.2.1 Artificial Intelligence for Edge Devices Segment by Type
- 1.2.2 Artificial Intelligence for Edge Devices Segment by Application
- 1.3 Methodology & Sources of Information
- 1.3.1 Research Methodology
- 1.3.2 Research Process
- 1.3.3 Market Breakdown and Data Triangulation
- 1.3.4 Base Year
- 1.3.5 Report Assumptions & Caveats
- 2 Artificial Intelligence for Edge Devices Market Overview
- 2.1 Global Market Overview
- 2.1.1 Global Artificial Intelligence for Edge Devices Market Size (M USD) Estimates and Forecasts (2020-2035)
- 2.1.2 Global Artificial Intelligence for Edge Devices Sales Estimates and Forecasts (2020-2035)
- 2.2 Market Segment Executive Summary
- 2.3 Global Market Size by Region
- 3 Artificial Intelligence for Edge Devices Market Competitive Landscape
- 3.1 Company Assessment Quadrant
- 3.2 Global Artificial Intelligence for Edge Devices Product Life Cycle
- 3.3 Global Artificial Intelligence for Edge Devices Sales by Manufacturers (2020-2025)
- 3.4 Global Artificial Intelligence for Edge Devices Revenue Market Share by Manufacturers (2020-2025)
- 3.5 Artificial Intelligence for Edge Devices Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
- 3.6 Global Artificial Intelligence for Edge Devices Average Price by Manufacturers (2020-2025)
- 3.7 Manufacturers’ Manufacturing Sites, Areas Served, and Product Types
- 3.8 Artificial Intelligence for Edge Devices Market Competitive Situation and Trends
- 3.8.1 Artificial Intelligence for Edge Devices Market Concentration Rate
- 3.8.2 Global 5 and 10 Largest Artificial Intelligence for Edge Devices Players Market Share by Revenue
- 3.8.3 Mergers & Acquisitions, Expansion
- 4 Artificial Intelligence for Edge Devices Industry Chain Analysis
- 4.1 Artificial Intelligence for Edge Devices Industry Chain Analysis
- 4.2 Market Overview of Key Raw Materials
- 4.3 Midstream Market Analysis
- 4.4 Downstream Customer Analysis
- 5 The Development and Dynamics of Artificial Intelligence for Edge Devices Market
- 5.1 Key Development Trends
- 5.2 Driving Factors
- 5.3 Market Challenges
- 5.4 Industry News
- 5.4.1 New Product Developments
- 5.4.2 Mergers & Acquisitions
- 5.4.3 Expansions
- 5.4.4 Collaboration/Supply Contracts
- 5.5 PEST Analysis
- 5.5.1 Industry Policies Analysis
- 5.5.2 Economic Environment Analysis
- 5.5.3 Social Environment Analysis
- 5.5.4 Technological Environment Analysis
- 5.6 Global Artificial Intelligence for Edge Devices Market Porter's Five Forces Analysis
- 5.6.1 Global Trade Frictions
- 5.6.2 U.S. Tariff Policy – April 2025
- 5.6.3 Global Trade Frictions and Their Impacts to Artificial Intelligence for Edge Devices Market
- 5.7 ESG Ratings of Leading Companies
- 6 Artificial Intelligence for Edge Devices Market Segmentation by Type
- 6.1 Evaluation Matrix of Segment Market Development Potential (Type)
- 6.2 Global Artificial Intelligence for Edge Devices Sales Market Share by Type (2020-2025)
- 6.3 Global Artificial Intelligence for Edge Devices Market Size by Type (2020-2025)
- 6.4 Global Artificial Intelligence for Edge Devices Price by Type (2020-2025)
- 7 Artificial Intelligence for Edge Devices Market Segmentation by Application
- 7.1 Evaluation Matrix of Segment Market Development Potential (Application)
- 7.2 Global Artificial Intelligence for Edge Devices Market Sales by Application (2020-2025)
- 7.3 Global Artificial Intelligence for Edge Devices Market Size (M USD) by Application (2020-2025)
- 7.4 Global Artificial Intelligence for Edge Devices Sales Growth Rate by Application (2020-2025)
- 8 Artificial Intelligence for Edge Devices Market Sales by Region
- 8.1 Global Artificial Intelligence for Edge Devices Sales by Region
- 8.1.1 Global Artificial Intelligence for Edge Devices Sales by Region
- 8.1.2 Global Artificial Intelligence for Edge Devices Sales Market Share by Region
- 8.2 Global Artificial Intelligence for Edge Devices Market Size by Region
- 8.2.1 Global Artificial Intelligence for Edge Devices Market Size by Region
- 8.2.2 Global Artificial Intelligence for Edge Devices Market Size by Region
- 8.3 North America
- 8.3.1 North America Artificial Intelligence for Edge Devices Sales by Country
- 8.3.2 North America Artificial Intelligence for Edge Devices Market Size by Country
- 8.3.3 U.S. Market Overview
- 8.3.4 Canada Market Overview
- 8.3.5 Mexico Market Overview
- 8.4 Europe
- 8.4.1 Europe Artificial Intelligence for Edge Devices Sales by Country
- 8.4.2 Europe Artificial Intelligence for Edge Devices Market Size by Country
- 8.4.3 Germany Market Overview
- 8.4.4 France Market Overview
- 8.4.5 U.K. Market Overview
- 8.4.6 Italy Market Overview
- 8.4.7 Spain Market Overview
- 8.5 Asia Pacific
- 8.5.1 Asia Pacific Artificial Intelligence for Edge Devices Sales by Region
- 8.5.2 Asia Pacific Artificial Intelligence for Edge Devices Market Size by Region
- 8.5.3 China Market Overview
- 8.5.4 Japan Market Overview
- 8.5.5 South Korea Market Overview
- 8.5.6 India Market Overview
- 8.5.7 Southeast Asia Market Overview
- 8.6 South America
- 8.6.1 South America Artificial Intelligence for Edge Devices Sales by Country
- 8.6.2 South America Artificial Intelligence for Edge Devices Market Size by Country
- 8.6.3 Brazil Market Overview
- 8.6.4 Argentina Market Overview
- 8.6.5 Columbia Market Overview
- 8.7 Middle East and Africa
- 8.7.1 Middle East and Africa Artificial Intelligence for Edge Devices Sales by Region
- 8.7.2 Middle East and Africa Artificial Intelligence for Edge Devices Market Size by Region
- 8.7.3 Saudi Arabia Market Overview
- 8.7.4 UAE Market Overview
- 8.7.5 Egypt Market Overview
- 8.7.6 Nigeria Market Overview
- 8.7.7 South Africa Market Overview
- 9 Artificial Intelligence for Edge Devices Market Production by Region
- 9.1 Global Production of Artificial Intelligence for Edge Devices by Region(2020-2025)
- 9.2 Global Artificial Intelligence for Edge Devices Revenue Market Share by Region (2020-2025)
- 9.3 Global Artificial Intelligence for Edge Devices Production, Revenue, Price and Gross Margin (2020-2025)
- 9.4 North America Artificial Intelligence for Edge Devices Production
- 9.4.1 North America Artificial Intelligence for Edge Devices Production Growth Rate (2020-2025)
- 9.4.2 North America Artificial Intelligence for Edge Devices Production, Revenue, Price and Gross Margin (2020-2025)
- 9.5 Europe Artificial Intelligence for Edge Devices Production
- 9.5.1 Europe Artificial Intelligence for Edge Devices Production Growth Rate (2020-2025)
- 9.5.2 Europe Artificial Intelligence for Edge Devices Production, Revenue, Price and Gross Margin (2020-2025)
- 9.6 Japan Artificial Intelligence for Edge Devices Production (2020-2025)
- 9.6.1 Japan Artificial Intelligence for Edge Devices Production Growth Rate (2020-2025)
- 9.6.2 Japan Artificial Intelligence for Edge Devices Production, Revenue, Price and Gross Margin (2020-2025)
- 9.7 China Artificial Intelligence for Edge Devices Production (2020-2025)
- 9.7.1 China Artificial Intelligence for Edge Devices Production Growth Rate (2020-2025)
- 9.7.2 China Artificial Intelligence for Edge Devices Production, Revenue, Price and Gross Margin (2020-2025)
- 10 Key Companies Profile
- 10.1 Microsoft
- 10.1.1 Microsoft Basic Information
- 10.1.2 Microsoft Artificial Intelligence for Edge Devices Product Overview
- 10.1.3 Microsoft Artificial Intelligence for Edge Devices Product Market Performance
- 10.1.4 Microsoft Business Overview
- 10.1.5 Microsoft SWOT Analysis
- 10.1.6 Microsoft Recent Developments
- 10.2 Qualcomm
- 10.2.1 Qualcomm Basic Information
- 10.2.2 Qualcomm Artificial Intelligence for Edge Devices Product Overview
- 10.2.3 Qualcomm Artificial Intelligence for Edge Devices Product Market Performance
- 10.2.4 Qualcomm Business Overview
- 10.2.5 Qualcomm SWOT Analysis
- 10.2.6 Qualcomm Recent Developments
- 10.3 Intel
- 10.3.1 Intel Basic Information
- 10.3.2 Intel Artificial Intelligence for Edge Devices Product Overview
- 10.3.3 Intel Artificial Intelligence for Edge Devices Product Market Performance
- 10.3.4 Intel Business Overview
- 10.3.5 Intel SWOT Analysis
- 10.3.6 Intel Recent Developments
- 10.4 Google
- 10.4.1 Google Basic Information
- 10.4.2 Google Artificial Intelligence for Edge Devices Product Overview
- 10.4.3 Google Artificial Intelligence for Edge Devices Product Market Performance
- 10.4.4 Google Business Overview
- 10.4.5 Google Recent Developments
- 10.5 Alibaba
- 10.5.1 Alibaba Basic Information
- 10.5.2 Alibaba Artificial Intelligence for Edge Devices Product Overview
- 10.5.3 Alibaba Artificial Intelligence for Edge Devices Product Market Performance
- 10.5.4 Alibaba Business Overview
- 10.5.5 Alibaba Recent Developments
- 10.6 NVIDIA
- 10.6.1 NVIDIA Basic Information
- 10.6.2 NVIDIA Artificial Intelligence for Edge Devices Product Overview
- 10.6.3 NVIDIA Artificial Intelligence for Edge Devices Product Market Performance
- 10.6.4 NVIDIA Business Overview
- 10.6.5 NVIDIA Recent Developments
- 10.7 Arm
- 10.7.1 Arm Basic Information
- 10.7.2 Arm Artificial Intelligence for Edge Devices Product Overview
- 10.7.3 Arm Artificial Intelligence for Edge Devices Product Market Performance
- 10.7.4 Arm Business Overview
- 10.7.5 Arm Recent Developments
- 10.8 Horizon Robotics
- 10.8.1 Horizon Robotics Basic Information
- 10.8.2 Horizon Robotics Artificial Intelligence for Edge Devices Product Overview
- 10.8.3 Horizon Robotics Artificial Intelligence for Edge Devices Product Market Performance
- 10.8.4 Horizon Robotics Business Overview
- 10.8.5 Horizon Robotics Recent Developments
- 10.9 Baidu
- 10.9.1 Baidu Basic Information
- 10.9.2 Baidu Artificial Intelligence for Edge Devices Product Overview
- 10.9.3 Baidu Artificial Intelligence for Edge Devices Product Market Performance
- 10.9.4 Baidu Business Overview
- 10.9.5 Baidu Recent Developments
- 10.10 Synopsys
- 10.10.1 Synopsys Basic Information
- 10.10.2 Synopsys Artificial Intelligence for Edge Devices Product Overview
- 10.10.3 Synopsys Artificial Intelligence for Edge Devices Product Market Performance
- 10.10.4 Synopsys Business Overview
- 10.10.5 Synopsys Recent Developments
- 10.11 Cambricon
- 10.11.1 Cambricon Basic Information
- 10.11.2 Cambricon Artificial Intelligence for Edge Devices Product Overview
- 10.11.3 Cambricon Artificial Intelligence for Edge Devices Product Market Performance
- 10.11.4 Cambricon Business Overview
- 10.11.5 Cambricon Recent Developments
- 10.12 MediaTek
- 10.12.1 MediaTek Basic Information
- 10.12.2 MediaTek Artificial Intelligence for Edge Devices Product Overview
- 10.12.3 MediaTek Artificial Intelligence for Edge Devices Product Market Performance
- 10.12.4 MediaTek Business Overview
- 10.12.5 MediaTek Recent Developments
- 10.13 Mythic
- 10.13.1 Mythic Basic Information
- 10.13.2 Mythic Artificial Intelligence for Edge Devices Product Overview
- 10.13.3 Mythic Artificial Intelligence for Edge Devices Product Market Performance
- 10.13.4 Mythic Business Overview
- 10.13.5 Mythic Recent Developments
- 10.14 NXP
- 10.14.1 NXP Basic Information
- 10.14.2 NXP Artificial Intelligence for Edge Devices Product Overview
- 10.14.3 NXP Artificial Intelligence for Edge Devices Product Market Performance
- 10.14.4 NXP Business Overview
- 10.14.5 NXP Recent Developments
- 11 Artificial Intelligence for Edge Devices Market Forecast by Region
- 11.1 Global Artificial Intelligence for Edge Devices Market Size Forecast
- 11.2 Global Artificial Intelligence for Edge Devices Market Forecast by Region
- 11.2.1 North America Market Size Forecast by Country
- 11.2.2 Europe Artificial Intelligence for Edge Devices Market Size Forecast by Country
- 11.2.3 Asia Pacific Artificial Intelligence for Edge Devices Market Size Forecast by Region
- 11.2.4 South America Artificial Intelligence for Edge Devices Market Size Forecast by Country
- 11.2.5 Middle East and Africa Forecasted Sales of Artificial Intelligence for Edge Devices by Country
- 12 Forecast Market by Type and by Application (2026-2035)
- 12.1 Global Artificial Intelligence for Edge Devices Market Forecast by Type (2026-2035)
- 12.1.1 Global Forecasted Sales of Artificial Intelligence for Edge Devices by Type (2026-2035)
- 12.1.2 Global Artificial Intelligence for Edge Devices Market Size Forecast by Type (2026-2035)
- 12.1.3 Global Forecasted Price of Artificial Intelligence for Edge Devices by Type (2026-2035)
- 12.2 Global Artificial Intelligence for Edge Devices Market Forecast by Application (2026-2035)
- 12.2.1 Global Artificial Intelligence for Edge Devices Sales (K Units) Forecast by Application
- 12.2.2 Global Artificial Intelligence for Edge Devices Market Size (M USD) Forecast by Application (2026-2035)
- 13 Conclusion and Key Findings
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