Edge Artificial Intelligence Chips Market Report

Attractive Opportunities

Global Demand Analysis & Sales Opportunities in Edge Artificial Intelligence Chips Market

• The annual demand for edge artificial intelligence chips was USD 17 billion in 2024 and is expected to reach USD 23.05 billion in 2025, up 35.6% than the value in 2024.
• During the next 8 years (forecast period of 2025-2032), the edge artificial intelligence chips market is expected to grow at a CAGR of 34.37%. The annual demand will reach of USD 182.31 billion in 2032, which is almost 8 times the demand in 2025.
• During 2025-2032, the edge artificial intelligence chips industry is expected to generate a cumulative sales opportunity of USD 650.60 billion.

High-Growth Market Segments:

• The North America region is the fastest-growing market for global edge artificial intelligence chips.
• By Chipset type, GPU segment is anticipated to experience the fastest growth in the future.
• By Function type, Inference segment is expected to be the largest edge artificial intelligence chips market segment during the forecast period.
• By Device type, Enterprise Device segment is anticipated to grow at the highest CAGR during the forecast period.

Market Statistics

Have a look at the sales opportunities presented by the edge artificial intelligence chips market in terms of growth and market forecast.

Market Dynamics

Introduction:

What are edge artificial intelligence chips?

Edge Artificial Intelligence (AI) Chips are specialized semiconductor components designed to process AI tasks locally on edge devices, such as smartphones, cameras, drones, IoT devices, and autonomous vehicles, without needing to rely heavily on cloud computing. These chips enable real-time data processing, reduce latency, enhance data privacy, and lower bandwidth usage. Common tasks performed include image recognition, speech processing, and predictive analytics, all executed at the "edge" of the network, closer to the data source.

Market Drivers:

Proliferation of AI-Driven Autonomous Vehicles

• The rapid evolution of autonomous and semi-autonomous vehicles is a major catalyst for the edge AI chips market. These vehicles rely on real-time processing of massive sensor data for critical functions like object detection, navigation, and decision-making.
• Edge AI chips enable ultra-low latency and high-performance inference directly on the vehicle, reducing reliance on cloud connectivity. As demand for ADAS and fully autonomous systems grows, so does the need for efficient, scalable, and automotive-grade edge AI solutions.

Growth in Edge Computing and Connected Devices

• The rapid expansion of edge computing, fueled by the proliferation of connected devices like smartphones, wearables, and industrial IoT systems, is a major driver of the edge AI chips market.
• These devices require low-latency, on-device intelligence for tasks such as facial recognition, voice processing, and predictive maintenance. Edge AI chips, featuring NPUs and energy-efficient architectures, enable real-time inference while preserving power and data privacy.
• As demand for intelligent, decentralized processing rises, edge AI chips are becoming essential to modern digital infrastructure.

Market Challenges:

Rising Complexity of AI Workloads Strains Chip Capabilities

• As AI technologies like natural language processing, computer vision, and generative models advance, the processing demands placed on edge devices are growing rapidly.
• Edge AI chips are now expected to handle larger models, deliver low-latency results, and remain energy-efficient, all at once. Meeting these demands is technically challenging, as many existing chip architectures struggle to perform within power and heat limits, making it harder to scale AI across diverse edge environments.

Market Opportunities:

Integration with 5G Networks

• The global rollout of 5G is unlocking new possibilities for real-time, high-speed data processing at the edge. This creates a significant opportunity for edge AI chipmakers, as 5G enhances the performance of connected devices in areas like autonomous vehicles, smart factories, and remote healthcare.
• With reduced latency and higher bandwidth, AI models can operate more efficiently on-device, fueling demand for edge AI chips specifically designed to support intelligent, low-latency decision-making in ultra-connected environments.

Market Segments' Analysis

By Chipset Type

“GPU segment is anticipated to experience the fastest growth in the future.”

• GPUs are ideal for parallel processing workloads such as computer vision and natural language processing, making them highly effective at running pre-trained models on edge devices
• Additionally, ongoing innovations in GPU architecture e.g., HBM memory, tensor cores) continue to enhance performance and energy efficiency, solidifying their dominance in edge AI applications.

By Function Type

“Inference segment is expected to be the largest edge artificial intelligence chips market segment during the forecast period.”

• The inference segment is expected to lead the edge AI chips market due to rising demand for real-time, on-device processing in applications like autonomous vehicles, smart cameras, and IoT devices, where low latency, energy efficiency, and immediate decision-making are critical.
• The growing adoption of AI-enabled consumer electronics and industrial automation further fuels the demand for inference chips capable of supporting lightweight, real-time AI tasks at the edge.

Regional Analysis

“North America is expected to lead the Edge Artificial Intelligence Chips Market during the forecast period.”

• North America is expected to lead the Edge AI chips market during the forecast period, driven by strong technological infrastructure, early adoption of AI and edge computing, and the presence of key industry players.
• The region benefits from robust R&D investments, widespread deployment of 5G networks, and supportive policies like the U.S. CHIPS Act, which promote domestic chip manufacturing.
• High demand across industries such as autonomous vehicles, healthcare, and industrial automation further cements North America’s dominant position in the global market.

Competitive Landscape

Most of the major players compete in some of the factors, including price, service offerings, regional presence, etc. The following are the key players in the edge artificial intelligence chips market -  

• Advanced Micro Devices, Inc.
• Alphabet Inc.
• Intel Corporation
• Qualcomm Technologies, Inc.
• Apple Inc.
• Mythic
• Arm Limited
• Samsung
• NVIDIA Corporation
• Huawei Technologies Co., Ltd.

Note: The above list does not necessarily include all the top players in the market.

Are you a leading player in this market? We would love to include your name. Please write to us at [email protected]

Recent Developments/Mergers & Acquisitions:

• In June 2024, Intel introduced advanced technologies and architectures aimed at significantly accelerating the AI ecosystem across data centers, cloud platforms, networks, edge devices, and personal computers. These innovations offer enhanced processing power, improved energy efficiency, and lower total cost of ownership (TCO), enabling customers to fully harness AI-driven opportunities.
• In June 2024, Advanced Micro Devices, Inc. (AMD) launched its latest AMD Ryzen AI 300 Series processors, featuring a Neural Processing Unit (NPU) designed for next-generation AI PCs, along with the AMD Ryzen 9000 Series for desktops. These processors are engineered to deliver superior performance for gamers, content creators, and advanced users.

Report Features

This report provides market intelligence most comprehensively. The report structure has been kept so that it offers maximum business value. It provides critical insights into market dynamics and will enable strategic decision-making for existing market players as well as those willing to enter the market.

The following are the key features of the report:

• Market structure: Overview, industry life cycle analysis, supply chain analysis.
• Market environment analysis: Growth drivers and constraints, Porter’s five forces analysis, SWOT analysis.
• Market trend and forecast analysis.
• Market segment trend and forecast.
• Competitive landscape and dynamics: Market share, Service portfolio, New Product Launches, etc.
• COVID-19 impact and its recovery curve.
• Attractive market segments and associated growth opportunities.
• Emerging trends.
• Strategic growth opportunities for the existing and new players.
• Key success factors.

Market Segmentation

This report studies the market, covering a period of 12 years of trend and forecast. The report provides detailed insights into the market dynamics to enable informed business decision-making and growth strategy formulation based on the opportunities present in the market.

The global edge artificial intelligence chips market is segmented into the following categories. 

Global Edge Artificial Intelligence Chips Market, by Chipset Type

• CPU
• GPU
• ASIC
• Others

Global Edge Artificial Intelligence Chips Market, by Function Type

• Training
• Inference

Global Edge Artificial Intelligence Chips Market, by Device Type

• Consumer Devices
• Enterprise Device

Global Edge Artificial Intelligence Chips Market, by Region

• North America (Country Analysis: The USA, Canada, and Mexico)
• Europe (Country Analysis: Germany, France, Italy, The UK, and Rest of Europe)
• Asia-Pacific (Country Analysis: Japan, China, India, and Rest of Asia-Pacific)
• Rest of the World (Country Analysis: Brazil, Saudi Arabia, and Others)

Research Methodology

• This strategic assessment report from Stratview Research provides a comprehensive analysis that reflects today’s global edge artificial intelligence chips market realities and future market possibilities for the forecast period.

• The report segments and analyzes the market in the most detailed manner to provide a panoramic view of the market.
• The vital data/information provided in the report can play a crucial role for market participants and investors in identifying the low-hanging fruits available in the market and formulating growth strategies to expedite their growth process.
• This report offers high-quality insights and is the outcome of a detailed research methodology comprising extensive secondary research, rigorous primary interviews with industry stakeholders, and validation and triangulation with Stratview Research’s internal database and statistical tools.
• More than 1,000 authenticated secondary sources, such as company annual reports, fact books, press releases, journals, investor presentations, white papers, patents, and articles, have been leveraged to gather the data.
• We conducted more than 17 detailed primary interviews with market players across the value chain in all four regions and industry experts to obtain both qualitative and quantitative insights.

Customization Options

With this detailed report, Stratview Research offers one of the following free customization options to our respected clients:

Company Profiling

• Detailed profiling of additional market players (up to three players)
• SWOT analysis of key players (up to three players)

Competitive Benchmarking

• Benchmarking of key players on the following parameters: Service portfolio, geographical reach, regional presence, and strategic alliances

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