United States Edge AI Market Size, Share, and COVID-19 Impact Analysis, By Component (Hardware, Software, Edge Cloud Infrastructure, and Services), By End Use (Consumer Electronics, Smart Cities, Manufacturing, Automotive, Healthcare, IT & Telecom, and Others), and United States Edge AI Market Insights, Industry Trend, Forecasts to 2035

United States Edge AI Market Size Insights Forecasts to 2035

• The United States Edge AI Market Size Was Estimated at USD 7.1 Billion in 2024
• The Market Size is Expected to Grow at a CAGR of Around 14.8% from 2025 to 2035
• The United States Edge AI Market Size is Expected to Reach USD 32.7 Billion by 2035

According to a Research Report Published by Spherical Insights & Consulting, The United States Edge AI Market Size is Anticipated to Reach USD 32.7 Billion by 2035, Growing at a CAGR of 14.8% from 2025 to 2035. The United States Edge AI market is driven by the growing demand for real-time data processing, rapid adoption of IoT devices, increasing deployment of AI-powered edge devices, and rising investments in smart infrastructure and automation technologies.

Market Overview

The United States Edge AI Market Size comprises businesses that create and implement artificial intelligence systems that operate on edge devices instead of depending exclusively on centralized cloud systems. Edge AI enables devices to execute artificial intelligence tasks which leads to faster data processing and decreased delays and enhanced data protection and better network performance. The market growth is strongly supported by the increasing adoption of Internet of Things (IoT) devices and autonomous systems and smart manufacturing solutions and intelligent consumer electronics. The healthcare and automotive and manufacturing and smart city and telecommunications industries use Edge AI solutions to provide their users with real-time analytics and decision-making capabilities.

The United States edge AI market is experiencing multiple present-day market developments which will determine its upcoming market development. The first trend describes how the growing number of Internet of Things devices and connected systems requires businesses to implement decentralized systems for processing data. The second trend shows that new AI chips and edge processors and neural processing units (NPUs) increase both performance and efficiency for devices. The third trend shows that when 5G networks merge with edge AI systems, they create ultra-low latency capabilities which support autonomous vehicles and smart surveillance systems and industrial automation.

The government supported through programs which promote digital transformation and funding of smart city initiatives and support AI research. The market growth is driven by rising investments in AI hardware acceleration and edge computing infrastructure which lead to better scalability and wider adoption of edge AI technologies.

Report Coverage

This research report categorizes the market for the United States edge AI market based on various segments and regions, and forecasts revenue growth and analyses trends in each submarket. The report analyses the key growth drivers, opportunities, and challenges influencing the United States edge AI market. Recent market developments and competitive strategies, such as expansion, product launch, development, partnership, merger, and acquisition have been included to draw the competitive landscape in the market. The report strategically identifies and profiles the key market players and analyses their core competencies in each sub-segment of the United States edge AI market.

Driving Factors

The United States edge AI market exists because various industries need real-time data processing together with low-latency computing capabilities. The growing number of IoT devices, together with connected infrastructure, requires more AI processing to occur at network edge locations. The rising use of smart devices, together with autonomous systems and industrial automation technologies, enables businesses to implement edge AI solutions at a faster pace. Advanced AI chip development, together with edge processor creation, enables devices to achieve better performance while consuming less energy, which helps to expand the market. The development of 5G networks, together with edge computing infrastructure, provides improvements in device communication speed, which enables applications like autonomous vehicles and smart surveillance and predictive maintenance, and healthcare monitoring systems to function.

Restraining Factors

The United States Edge AI market encounters obstacles because advanced AI hardware and edge computing infrastructure require expensive development and deployment expenses. The execution of advanced AI models is restricted because edge devices have insufficient computing capacity. Data security concerns and integration challenges with existing IT systems also create barriers for widespread adoption. The market growth process gets delayed because there exists a shortage of skilled professionals who work in AI development and edge computing and machine learning fields.

Market Segmentation

The United States edge AI market share is classified into component and end use.

• The hardware segment accounted for the largest revenue market in 2024 and is expected to grow at a significant CAGR during the forecast period. 

The United States edge AI market is segmented by component into hardware, software, edge cloud infrastructure, and services. Among these, the hardware segment accounted for the largest revenue market in 2024 and is expected to grow at a significant CAGR during the forecast period. The dominance of the hardware segment is attributed to the increasing demand for AI-enabled processors, GPUs, ASICs, and edge computing devices that support real-time data processing at the network edge. The rapid deployment of AI-powered cameras, smart sensors, and embedded edge devices across industries further strengthens the market position of this segment. Additionally, advancements in AI chip technologies and neural processing units (NPUs) are significantly improving device performance and efficiency.

• The consumer electronics segment accounted for the largest share in 2024 and is expected to grow at a significant CAGR during the forecast period. 

The United States edge AI market is segmented by end use into consumer electronics, smart cities, manufacturing, automotive, healthcare, IT & telecom, and others. Among these, the consumer electronics segment accounted for the largest share in 2024 and is expected to grow at a significant CAGR during the forecast period. The dominance of this segment is driven by the growing adoption of AI-enabled smartphones, smart home devices, wearable technologies, and intelligent cameras. These devices rely on edge AI to perform tasks such as voice recognition, image processing, facial recognition, and personalized user experiences without depending heavily on cloud computing.

Competitive Analysis:

The report offers the appropriate analysis of the key organizations/companies involved within the United States edge AI market, along with a comparative evaluation primarily based on their product offering, business overviews, geographic presence, enterprise strategies, segment market share, and SWOT analysis. The report also provides an elaborate analysis focusing on the current news and developments of the companies, which includes product development, innovations, joint ventures, partnerships, mergers & acquisitions, strategic alliances, and others. This allows for the evaluation of the overall competition within the market.

List of Key Companies

• NVIDIA Corporation
• Intel Corporation
• Qualcomm Technologies Inc.
• Microsoft Corporation
• Google LLC
• Amazon Web Services Inc.
• IBM Corporation
• Cisco Systems Inc.
• Samsung Electronics
• Apple Inc.
• Others

Key Target Audience

• Market Players
• Investors
• End-users
• Government Authorities 
• Consulting and Research Firm
• Venture capitalists
• Value-Added Resellers (VARs)

Recent Developments:

In May 2024, NVIDIA introduced new edge AI computing platforms designed for robotics, autonomous machines, and smart city applications, enabling faster AI processing and improved energy efficiency at the network edge.

Market Segment

This study forecasts revenue at the United States, regional, and country levels from 2020 to 2035. Spherical Insights has segmented the United States edge AI market based on the below-mentioned segments:

United States Edge AI Market, By Component

• Hardware
• Software
• Edge Cloud Infrastructure
• Service

United States Edge AI Market, By End Use

• Consumer Electronics
• Smart Cities
• Manufacturing
• Automotive
• Healthcare
• IT & Telecom
• Others