The edge artificial intelligence chips market size was valued at USD 21.40 billion in 2024 and is projected to reach USD 221.51 billion by 2032, growing at a CAGR of 33.93% during 2025 to 2032.
Edge artificial intelligence chips market is booming as there is a growing demand for real-time, low-latency processing in edge devices, such as smartphones, autonomous vehicles, and smart cameras. These chips allow AI work to be done locally, decreasing dependence on cloud computing systems and making things faster, more private, and more energy efficient. Key growth drivers are the increasing use of IoT, NPUs and ASICs, and the adoption of AI in other sectors, such as automotive, healthcare, and industrial automation. Though consumer dominates, enterprise is finally starting to move forward.
Microsoft backs OpenAI with USD 14B as Oracle powers its AI training, while rising demand drives chipmakers to develop edge AI for on-device tasks in robotics and smartphones.
The U.S. edge artificial intelligence chips market size was valued at USD 6.42 billion in 2024 and projected to reach USD 54.73 billion by 2032 expanding at a CAGR of 30.70%. The growth is driven by the increasing need for real-time data processing and on-device intelligence among various sectors is boosting the market growth. The dominance of the market has been instrumental by the U.S. being a leader in tech innovation and robust investment in AI research, and a greater adoption of edge computing across industries such, as the healthcare, automotive, and IoT drive the quick development and proliferation of edge artificial intelligence chips.
Drivers:
• IoT Devices Drive Growth in the Edge Artificial Intelligence Chips Market
Edge artificial intelligence chips market growth is primarily driven by the growing demand for low-latency AI computing on edge devices in IoT. These devices, from smart home appliances to industrial environmental sensors and wearable devices all require low power and high performance chipsets to handle local data. This results in faster decision-making, along with lesser reliance on cloud, which improves the user experience. As IoT devices become more and more pervasive across different sector, the Edge AI Chipset Industry market is anticipated to be able to generate performance gains, which aids in the growth of the market at a rapid pace over the forecast period.
IoT growth is driven by edge artificial intelligence chips processors, such as Arm’s Cortex-M55, Hailo-8, Intel’s Movidius VPU, and Kneron’s KL520, enhancing AI in edge devices. These chips offer high performance, low power, and improved machine learning. They are vital for powering IoT innovations and post-pandemic economic recovery.
Restraints:
Fragmented Ecosystem and Limited Support Hinder Growth of Edge Artificial Intelligence Chips Globally
The limited ecosystem for edge artificial intelligence chips, involving diverse chip vendors, toolchains, and support infrastructures, presents a challenge for developers. This fragmentation complicates the creation of seamless, end-to-end solutions, as companies must integrate various hardware and software components to build effective edge AI systems. The lack of standardized and unified frameworks can lead to increased development time and costs, slowing the advancement of edge AI technologies and hindering faster market adoption and innovation in this space.
U.S. chip export restrictions on AI companies including Nvidia and AMD create uncertainty, slowing edge artificial intelligence chips growth. Apple's AI struggles, including Siri limitations and iPhone 16 delays, showcase how regulatory challenges impact the AI ecosystem.
Opportunities:
5G Networks Boost Edge AI Deployment for Real-Time Decision-Making and Industry Innovation
The rise in 5G networks is giving impetus to the edge artificial intelligence chips trends by enabling quick and low latency data processing close to the source. This synergy allows real-time decisions in industries ranging from driverless cars, smart manufacturing, to healthcare diagnostics. With improved bandwidth and connectivity, 5G enables edge devices to process complex AI tasks without cloud dependence. This allows industries with intelligent and decentralized computing models to enhance effectiveness while expanding market opportunities.
Intel launches AI Edge Systems, Edge AI Suites, and Open Edge Platform to accelerate edge AI adoption across industries, such as retail and smart cities. These solutions enhance deployment efficiency, providing up to 5x better performance per dollar while simplifying integration with existing infrastructure.
Challenges:
Overcoming Regulatory Compliance Challenges the Edge Artificial Intelligence Chips Market Growth
Regulatory compliance in the edge artificial intelligence chips market is a significant challenge, especially in sectors, such as healthcare and finance. Companies need to navigate stringent data protection laws, industry-specific regulations, and emerging AI governance frameworks to ensure compliance. In such environments, AI chips must be designed with built-in security and transparency features, which can increase development costs and timelines. Balancing innovation with regulatory requirements is crucial for successful market adoption and long-term sustainability.
By Chipset
The CPU (Central Processing Unit) segment dominated the market in 2024, accounting for 55% of the total edge artificial intelligence chips market share. This dominance is driven by the CPUs' versatility in the types of AI tasks they can compute, and their high computation power, flexibility, and scalability. Their efficacy in edge devices is enabling real-time AI applications, such as smart factories and autonomous systems and pushing the industry to look for powerful, energy-efficient chips that are integral parts of advanced edge computing solutions.
The ASIC (Application-Specific Integrated Circuit) segment is experiencing the fastest growth in the market, with a projected CAGR of 38.98% during the forecast period. ASICs are super specialized chips made for certain AI jobs, and they are more efficient, giving better performance, and consume less power than general-purpose processors, such as CPUs and GPUs. This makes them great for edge AI applications, where fast, near real-time processing is important, for things including self-driving cars, smart cities, and IoT devices. They owe their spread to accelerating specific AIs workloads.
By Function
In 2024, the inference segment leads the market with around 75% of total revenue, driven by the growing demand for real-time AI processing. Inference chips are specifically optimized to run trained models efficiently, playing a critical role in autonomous systems, smart devices, and edge computing where low-latency performance is essential.
The training segment is expected to grow at the highest CAGR of 36.57%, driven by rising AI R&D investments and the need to process complex datasets. Training chips are vital for developing advanced machine learning models across healthcare, automotive, and robotics as AI adoption accelerates in edge computing applications.
By Devices
The consumer devices segment held a dominant edge artificial intelligence chips market share of around 70% in 2024. This growth is driven by the increasing integration of AI chips in smartphones, wearables, and smart home devices, enabling enhanced features including voice recognition, personalized experiences, and real-time data processing.
The enterprise devices segment is projected to experience fastest growth in the market during 2025-2032, at a CAGR of 35.86%. This expansion is powered by the increasing adoption of AI-based solutions in sectors as varied as manufacturing, logistics, and healthcare, where edge AI chips add real-time decision-making capabilities, improved automation, and operational productivity. Growing need for intelligent connected products from enterprises is also accelerating the market growth.
North America dominated the market with a substantial revenue share of approximately 44% in 2024. This leadership is driven by strong technology infrastructure, broad-based AI adoption in industries, and ongoing advances in edge computing. The presence of industry giants and AI R&D investments also bolster the region’s influence. The U.S is the most influential country in the North American market as it brings rapid development and innovation in the North America.
OpenAI, valued at USD 300 billion, is set to release GPT-5, while Meta, Google, Anthropic, and xAI push forward with advanced AI models, while China’s DeepSeek intensifies the global AI race amid growing U.S.-China tech tensions.
The Asia Pacific region is the fastest-growing region in the market, and is projected to expand at a CAGR of 36.02% during 2025 to 2032. This growth is attributed to the growing industrial automation, increasing adoption of smart devices, development of 5G infrastructure, and government initiatives for AI in countries, such as China, Japan, and India.
In 2024, China held a substantial share of the market due to its strong investments in AI R&D. The country’s focus on tech independence has fueled the growth of domestic AI chip production and deployment.
Europe emerged as a promising region in the edge artificial intelligence chips market in 2024 due to the increasing AI adoption and high focus on data privacy policies and strong government support. Rapid market growth in the U.K. is due the growing use of IoT applications across industries and growing need for real-time processing in autonomous systems such as drones and autonomous driving.
The Latin America (LA) and Middle East & Africa (MEA) regions are witnessing steady growth in the edge artificial intelligence chips market. This development is driven by step-by-step digitalization, growing investments in smart city projects, and the proliferation of IoT solutions. While some of them will see market growth driven by the expansion of AI use in applications, such as retail, manufacturing, public safety and others, the trend of infrastructure construction and AI applications will continue to lead to growing demand for edge AI chips and thus ensure these regions witness stable market growth over the forecast period.
The edge artificial intelligence chips market companies include NVIDIA, Intel, Qualcomm, AMD, Apple, Google, Samsung, Horizon Robotics, MediaTek, Arm, and Others.
In April 2025, Nvidia plans to invest USD 500 billion over the next four years to manufacture AI chips in the U.S., by partnering with TSMC, Foxconn, and others to produce its Blackwell chip and infrastructure. This move strengthens supply chains and boosts U.S. manufacturing, creating hundreds of thousands of jobs.
In April 2025, Intel partners with AI firm Model Best and chip designer Black Sesame to enhance smart car systems, addressing the rising demand for advanced computing power in China's electric vehicle market.
| Report Attributes | Details |
|---|---|
| Market Size in 2024 | USD 21.4 Billion |
| Market Size by 2032 | USD 221.51 Billion |
| CAGR | CAGR of 33.93%% From 2025 to 2032 |
| Base Year | 2024 |
| Forecast Period | 2025-2032 |
| Historical Data | 2021-2023 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Chipset (CPU, GPU, ASIC, Others) • By Function (Training, Inference) • By Devices (Consumer Devices, Enterprise Devices) |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Germany, France, UK, Italy, Spain, Poland, Turkey, Rest of Europe), Asia Pacific (China, India, Japan, South Korea, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (UAE, Saudi Arabia, Qatar, South Africa, Rest of Middle East & Africa), Latin America (Brazil, Argentina, Rest of Latin America) |
| Company Profiles | Key players in the Edge Artificial Intelligence Chips Market Companies include NVIDIA, Intel, Qualcomm, AMD, Apple, Google, Samsung, Horizon Robotics, MediaTek, Arm and Others |
Ans: The Edge Artificial Intelligence Chips Market is expected to grow at a CAGR of 33.93% during 2025-2032.
Ans: The Edge Artificial Intelligence Chips Market was USD 21.40 Billion in 2024 and is expected to Reach USD 221.51 Billion by 2032.
Ans: Include growing demand for low-latency processing, real-time decision-making, and AI-powered edge devices across industries.
Ans: The “CPU” segment dominated the Edge Artificial Intelligence Chips Market.
Ans: North America dominated the Edge Artificial Intelligence Chips Market in 2024.
Table of Contents
1. Introduction
1.1 Market Definition
1.2 Scope (Inclusion and Exclusions)
1.3 Research Assumptions
2. Executive Summary
2.1 Market Overview
2.2 Regional Synopsis
2.3 Competitive Summary
3. Research Methodology
3.1 Top-Down Approach
3.2 Bottom-up Approach
3.3. Data Validation
3.4 Primary Interviews
4. Market Dynamics Impact Analysis
4.1 Market Driving Factors Analysis
4.1.1 Drivers
4.1.2 Restraints
4.1.3 Opportunities
4.1.4 Challenges
4.2 PESTLE Analysis
4.3 Porter’s Five Forces Model
5. Statistical Insights and Trends Reporting
5.1 AI Model Compatibility Trends
5.2 Energy Efficiency Evolution
5.3 Edge AI Ecosystem Expansion
5.4 Edge Deployment Velocity
6. Competitive Landscape
6.1 List of Major Companies, By Region
6.2 Market Share Analysis, By Region
6.3 Product Benchmarking
6.3.1 Product specifications and features
6.3.2 Pricing
6.4 Strategic Initiatives
6.4.1 Marketing and promotional activities
6.4.2 Distribution and Supply Chain Strategies
6.4.3 Expansion plans and new Product launches
6.4.4 Strategic partnerships and collaborations
6.5 Technological Advancements
6.6 Market Positioning and Branding
7. Edge Artificial Intelligence Chips Market Segmentation by Chipset
7.1 Chapter Overview
7.2 CPU
7.2.1 CPU Market Trends Analysis (2020-2032)
7.2.2 CPU Market Size Estimates and Forecasts to 2032 (USD Billion)
7.3 GPU
7.3.1 GPU Market Trends Analysis (2020-2032)
7.3.2 GPU Market Size Estimates and Forecasts to 2032 (USD Billion)
7.4 ASIC
7.4.1 ASIC Market Trends Analysis (2020-2032)
7.4.2 ASIC Market Size Estimates and Forecasts to 2032 (USD Billion)
7.5 Others
7.5.1 Others Market Trends Analysis (2020-2032)
7.5.2 Others Market Size Estimates and Forecasts to 2032 (USD Billion)
8. Edge Artificial Intelligence Chips Market Segmentation By Function
8.1 Chapter Overview
8.2 Training
8.2.1 Training Market Trend Analysis (2020-2032)
8.2.2 Training Market Size Estimates and Forecasts to 2032 (USD Billion)
8.3 Inference
8.3.1 Inference Market Trends Analysis (2020-2032)
8.3.2 Inference Market Size Estimates and Forecasts to 2032 (USD Billion)
9. Edge Artificial Intelligence Chips Market Segmentation by Devices
9.1 Chapter Overview
9.2 Consumer Devices
9.2.1 Consumer Devices Market Trends Analysis (2020-2032)
9.2.2 Consumer Devices Market Size Estimates and Forecasts to 2032 (USD Billion)
9.3 Enterprise Devices
9.3.1 Enterprise Devices Market Trends Analysis (2020-2032)
9.3.2 Enterprise Devices Market Size Estimates and Forecasts to 2032 (USD Billion)
10. Regional Analysis
10.1 Chapter Overview
10.2 North America
10.2.1 Trends Analysis
10.2.2 North America Edge Artificial Intelligence Chips Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.2.3 North America Edge Artificial Intelligence Chips Market Estimates and Forecasts, by Chipset (2020-2032) (USD Billion)
10.2.4 North America Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Function (2020-2032) (USD Billion)
10.2.5 North America Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Devices (2020-2032) (USD Billion)
10.2.6 USA
10.2.6.1 USA Edge Artificial Intelligence Chips Market Estimates and Forecasts, by Chipset (2020-2032) (USD Billion)
10.2.6.2 USA Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Function (2020-2032) (USD Billion)
10.2.6.3 USA Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Devices (2020-2032) (USD Billion)
10.2.7 Canada
10.2.7.1 Canada Edge Artificial Intelligence Chips Market Estimates and Forecasts, by Chipset (2020-2032) (USD Billion)
10.2.7.2 Canada Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Function (2020-2032) (USD Billion)
10.2.7.3 Canada Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Devices (2020-2032) (USD Billion)
10.2.8 Mexico
10.2.8.1 Mexico Edge Artificial Intelligence Chips Market Estimates and Forecasts, by Chipset (2020-2032) (USD Billion)
10.2.8.2 Mexico Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Function (2020-2032) (USD Billion)
10.2.8.3 Mexico Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Devices (2020-2032) (USD Billion)
10.3 Europe
10.3.1 Trends Analysis
10.3.2 Europe Edge Artificial Intelligence Chips Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.3.3 Europe Edge Artificial Intelligence Chips Market Estimates and Forecasts, by Chipset (2020-2032) (USD Billion)
10.3.4 Europe Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Function (2020-2032) (USD Billion)
10.3.5 Europe Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Devices(2020-2032) (USD Billion)
10.3.6 Germany
10.3.1.6.1 Germany Edge Artificial Intelligence Chips Market Estimates and Forecasts, by Chipset (2020-2032) (USD Billion)
10.3.1.6.2 Germany Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Function (2020-2032) (USD Billion)
10.3.1.6.3 Germany Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Devices (2020-2032) (USD Billion)
10.3.7 France
10.3.7.1 France Edge Artificial Intelligence Chips Market Estimates and Forecasts, by Chipset (2020-2032) (USD Billion)
10.3.7.2 France a Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Function (2020-2032) (USD Billion)
10.3.7.3 France Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Devices (2020-2032) (USD Billion)
10.3.8 UK
10.3.8.1 UK Edge Artificial Intelligence Chips Market Estimates and Forecasts, by Chipset (2020-2032) (USD Billion)
10.3.8.2 UK Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Function (2020-2032) (USD Billion)
10.3.8.3 UK Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Devices (2020-2032) (USD Billion)
10.3.9 Italy
10.3.9.1 Italy Edge Artificial Intelligence Chips Market Estimates and Forecasts, by Chipset (2020-2032) (USD Billion)
10.3.9.2 Italy Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Function (2020-2032) (USD Billion)
10.3.9.3 Italy Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Devices (2020-2032) (USD Billion)
10.3.10 Spain
10.3.10.1 Spain Edge Artificial Intelligence Chips Market Estimates and Forecasts, by Chipset (2020-2032) (USD Billion)
10.3.10.2 Spain Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Function (2020-2032) (USD Billion)
10.3.10.3 Spain Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Devices (2020-2032) (USD Billion)
10.3.12 Poland
10.3.12.1 Poland Edge Artificial Intelligence Chips Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.3.12.1 Poland Edge Artificial Intelligence Chips Market Estimates and Forecasts, by Chipset (2020-2032) (USD Billion)
10.3.12.3 Poland Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Function (2020-2032) (USD Billion)
10.3.12.3 Poland Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Devices (2020-2032) (USD Billion)
10.3.13 Turkey
10.3.13.1 Turkey Edge Artificial Intelligence Chips Market Estimates and Forecasts, by Chipset (2020-2032) (USD Billion)
10.3.13.2 Turkey Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Function (2020-2032) (USD Billion)
10.3.13.3 Turkey Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Devices (2020-2032) (USD Billion)
10.3.14 Rest of Europe
10.3.14.1 Rest of Europe Edge Artificial Intelligence Chips Market Estimates and Forecasts, by Chipset (2020-2032) (USD Billion)
10.3.14.2 Rest of Europe Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Function (2020-2032) (USD Billion)
10.3.14.3 Rest of Europe Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Devices(2020-2032) (USD Billion)
10.4 Asia-Pacific
10.4.1 Trends Analysis
10.4.2 Asia-Pacific Edge Artificial Intelligence Chips Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.4.3 Asia-Pacific Edge Artificial Intelligence Chips Market Estimates and Forecasts, by Chipset (2020-2032) (USD Billion)
10.4.4 Asia-Pacific Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Function (2020-2032) (USD Billion)
10.4.5 Asia-Pacific Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Devices (2020-2032) (USD Billion)
10.4.6 China
10.4.6.1 China Edge Artificial Intelligence Chips Market Estimates and Forecasts, by Chipset (2020-2032) (USD Billion)
10.4.6.2 China Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Function (2020-2032) (USD Billion)
10.4.6.3 China Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Devices (2020-2032) (USD Billion)
10.4.7 India
10.4.7.1 India Edge Artificial Intelligence Chips Market Estimates and Forecasts, by Chipset (2020-2032) (USD Billion)
10.4.7.2 India Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Function (2020-2032) (USD Billion)
10.4.7.3 India Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Devices (2020-2032) (USD Billion)
10.4.8 Japan
10.4.8.1 Japan Edge Artificial Intelligence Chips Market Estimates and Forecasts, by Chipset (2020-2032) (USD Billion)
10.4.8.2 Japan Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Function (2020-2032) (USD Billion)
10.4.8.3 Japan Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Devices (2020-2032) (USD Billion)
10.4.9 South Korea
10.4.9.1 South Korea Edge Artificial Intelligence Chips Market Estimates and Forecasts, by Chipset (2020-2032) (USD Billion)
10.4.9.2 South Korea Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Function (2020-2032) (USD Billion)
10.4.9.3 South Korea Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Devices (2020-2032) (USD Billion)
10.4.10 Singapore
10.4.10.1 Singapore Edge Artificial Intelligence Chips Market Estimates and Forecasts, by Chipset (2020-2032) (USD Billion)
10.4.10.2 Singapore Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Function (2020-2032) (USD Billion)
10.4.10.3 Singapore Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Devices (2020-2032) (USD Billion)
10.4.11 Australia
10.4.11.1 Australia Edge Artificial Intelligence Chips Market Estimates and Forecasts, by Chipset (2020-2032) (USD Billion)
10.4.11.2 Australia Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Function (2020-2032) (USD Billion)
10.4.11.3 Australia Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Devices (2020-2032) (USD Billion)
10.4.12 Taiwan
10.4.12.1 Taiwan Edge Artificial Intelligence Chips Market Estimates and Forecasts, by Chipset (2020-2032) (USD Billion)
10.4.12.2 Taiwan Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Function (2020-2032) (USD Billion)
10.4.12.3 Taiwan Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Devices (2020-2032) (USD Billion)
10.4.13 Rest of Asia-Pacific
10.4.13.1 Rest of Asia-Pacific Edge Artificial Intelligence Chips Market Estimates and Forecasts, by Chipset (2020-2032) (USD Billion)
10.4.13.2 Rest of Asia-Pacific Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Function (2020-2032) (USD Billion)
10.4.13.3 Rest of Asia-Pacific Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Devices (2020-2032) (USD Billion)
10.5 Middle East and Africa
10.5.1 Trends Analysis
10.5.2 Middle East and Africa East Edge Artificial Intelligence Chips Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.5.3Middle East and Africa Edge Artificial Intelligence Chips Market Estimates and Forecasts, by Chipset (2020-2032) (USD Billion)
10.5.4 Middle East and Africa Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Function (2020-2032) (USD Billion)
10.5.5 Middle East and Africa Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Devices (2020-2032) (USD Billion)
10.5.6 UAE
10.5.6.1 UAE Edge Artificial Intelligence Chips Market Estimates and Forecasts, by Chipset (2020-2032) (USD Billion)
10.5.6.2 UAE Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Function (2020-2032) (USD Billion)
10.5.6.3 UAE Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Devices (2020-2032) (USD Billion)
10.5.7 Saudi Arabia
10.5.7.1 Saudi Arabia Edge Artificial Intelligence Chips Market Estimates and Forecasts, by Chipset (2020-2032) (USD Billion)
10.5.7.2 Saudi Arabia Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Function (2020-2032) (USD Billion)
10.5.7.3 Saudi Arabia Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Devices (2020-2032) (USD Billion)
10.5.8 Qatar
10.5.8.1 Qatar Edge Artificial Intelligence Chips Market Estimates and Forecasts, by Chipset (2020-2032) (USD Billion)
10.5.8.2 Qatar Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Function (2020-2032) (USD Billion)
10.5.8.3 Qatar Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Devices (2020-2032) (USD Billion)
10.5.9 South Africa
10.5.9 1 South Africa Edge Artificial Intelligence Chips Market Estimates and Forecasts, by Chipset (2020-2032) (USD Billion)
10.5.9 2 South Africa Edge Artificial Intelligence Chips Market Estimates and Forecasts By Function (2020-2032) (USD Billion)
10.5.9 3 South Africa Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Devices (2020-2032) (USD Billion)
10.5.10 Rest of Middle East & Africa
10.5.10.1 Rest of Middle East & Africa Edge Artificial Intelligence Chips Market Estimates and Forecasts, by Chipset (2020-2032) (USD Billion)
10.5.10.2 Rest of Middle East & Africa Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Function (2020-2032) (USD Billion)
10.5.10.3 Rest of Middle East & Africa Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Devices (2020-2032) (USD Billion)
10.6 Latin America
10.6.1 Trends Analysis
10.6.2 Latin America Edge Artificial Intelligence Chips Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
10.6.3 Latin America Edge Artificial Intelligence Chips Market Estimates and Forecasts, by Chipset (2020-2032) (USD Billion)
10.6.4 Latin America Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Function (2020-2032) (USD Billion)
10.6.5 Latin America Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Devices (2020-2032) (USD Billion)
10.6.6 Brazil
10.6.6.1 Brazil Edge Artificial Intelligence Chips Market Estimates and Forecasts, by Chipset (2020-2032) (USD Billion)
10.6.6.2 Brazil Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Function (2020-2032) (USD Billion)
10.6.6.3 Brazil Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Devices (2020-2032) (USD Billion)
10.6.7 Argentina
10.6.7.1 Argentina Edge Artificial Intelligence Chips Market Estimates and Forecasts, by Chipset (2020-2032) (USD Billion)
10.6.7.2 Argentina Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Function (2020-2032) (USD Billion)
10.6.7.3 Argentina Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Devices (2020-2032) (USD Billion)
10.6.8 Rest of Latin America
10.6.8.1 Rest of Latin America Edge Artificial Intelligence Chips Market Estimates and Forecasts, by Chipset (2020-2032) (USD Billion)
10.6.8.2 Rest of Latin America Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Function (2020-2032) (USD Billion)
10.6.8.3 Rest of Latin America Edge Artificial Intelligence Chips Market Estimates and Forecasts, By Devices (2020-2032) (USD Billion)
11. Company Profiles
11.1 NVIDIA
11.1.1 Company Overview
11.1.2 Financial
11.1.3 Product/ Services Offered
11.1.4 SWOT Analysis
11.2 Intel
11.2.1 Company Overview
11.2.2 Financial
11.2.3 Product/ Services Offered
11.2.4 SWOT Analysis
11.3 Qualcomm
11.3.1 Company Overview
11.3.2 Financial
11.3.3 Product/ Services Offered
11.3.4 SWOT Analysis
11.4 AMD
11.4.1 Company Overview
11.4.2 Financial
11.4.3 Product/ Services Offered
11.4.4 SWOT Analysis
11.5 Apple
11.5.1 Company Overview
11.5.2 Financial
11.5.3 Product/ Services Offered
11.5.4 SWOT Analysis
11.6 Google
11.6.1 Company Overview
11.6.2 Financial
11.6.3 Product/ Services Offered
11.6.4 SWOT Analysis
11.7 Samsung
11.7.1 Company Overview
11.7.2 Financial
11.7.3 Product/ Services Offered
11.7.4 SWOT Analysis
11.8 Horizon Robotics
11.8.1 Company Overview
11.8.2 Financial
11.8.3 Product/ Services Offered
11.8.4 SWOT Analysis
11.9 MediaTek
11.9.1 Company Overview
11.9.2 Financial
11.9.3 Product/ Services Offered
11.9.4 SWOT Analysis
11.10 Arm
11.10.1 Company Overview
11.10.2 Financial
11.10.3 Product/ Services Offered
11.10.4 SWOT Analysis
12. Use Cases and Best Practices
13. Conclusion
FAQ’S
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
Key Segments:
By Chipset
CPU
GPU
ASIC
Others
By Function
Training
Inference
By Devices
Consumer Devices
Enterprise Devices
Request for Segment Customization as per your Business Requirement: Segment Customization Request
Regional Coverage:
North America
US
Canada
Mexico
Europe
Germany
France
UK
Italy
Spain
Poland
Turkey
Rest of Europe
Asia Pacific
China
India
Japan
South Korea
Singapore
Australia
Taiwan
Rest of Asia Pacific
Middle East & Africa
UAE
Saudi Arabia
Qatar
South Africa
Rest of Middle East & Africa
Latin America
Brazil
Argentina
Rest of Latin America
Request for Country Level Research Report: Country Level Customization Request
Available Customization
With the given market data, SNS Insider offers customization as per the company’s specific needs. The following customization options are available for the report:
Detailed Volume Analysis
Criss-Cross segment analysis (e.g. Product X Application)
Competitive Product Benchmarking
Geographic Analysis
Additional countries in any of the regions
Customized Data Representation
Detailed analysis and profiling of additional market players
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