Us Edge AI Platforms Market Size By Applications, By Type, By End-User, By Deployment & By Technology 2032
Edge AI Platforms Market was valued at USD 1.5 Billion in 2022 and is projected to reach USD 7.0 Billion by 2030, growing at a CAGR of 22.0% from 2024 to 2030.
The United States is witnessing a significant surge in the adoption of Edge AI platforms, driven by the need for real-time data processing and enhanced operational efficiency. As industries increasingly integrate artificial intelligence at the network's edge, the U.S. Edge AI platforms market is poised for remarkable growth.
In 2023, North America led the global Edge AI market, contributing approximately 40% of the total revenue. This dominance is attributed to the region's advanced technological infrastructure and substantial investments in AI research and development. The U.S., in particular, has been at the forefront, with major technology firms and startups spearheading innovations in this sector.
Several factors are propelling the growth of Edge AI platforms in the U.S.:
Proliferation of IoT Devices: The exponential increase in Internet of Things (IoT) devices generates vast amounts of data, necessitating efficient, real-time processing capabilities. Edge AI platforms enable local data analysis, reducing latency and enhancing decision-making processes.
Advancements in 5G Technology: The rollout of 5G networks across the U.S. enhances the capabilities of Edge AI by providing faster data transmission and reduced latency, essential for applications like autonomous vehicles and smart city infrastructures.
Emphasis on Data Privacy: Processing data at the edge addresses growing concerns about data security and compliance, as sensitive information remains on local devices rather than being transmitted to centralized servers.
Key industry players are making significant strides in this market. For instance, NVIDIA Corporation reported an 80% increase in quarterly revenue in 2025, driven by a surge in demand for AI chips, with sales reaching $39.3 billion. This highlights the escalating demand for hardware capable of supporting Edge AI applications. Similarly, Arm Holdings has been recognized for its potential in the Edge AI market, particularly with its collaboration with Apple to integrate the Arm v9 architecture in the iPhone 16's A18 processor.
The healthcare sector stands out as a particularly fertile environment for Edge AI software, with strong momentum coming from real-time patient monitoring and strict data protection requirements. Devices that run locally stored algorithms, such as certain wearables from Medtronic, can detect fluctuations in heart rate or oxygen saturation and notify physicians instantly. Leading hospital networks, including the Mayo Clinic, benefit from analyzing critical care data on-site, ensuring prompt interventions for patients in intensive care units. GE HealthCare and Philips have taken similar routes to embed AI-driven diagnostic modules into ultrasound and MRI equipment, helping radiologists identify abnormalities in images without sending large datasets to third-party servers. Biometric solutions also play a pivotal role as facial and retinal scans authenticate patient access to electronic medical records right at the hospital entrance.
Despite the promising outlook, challenges persist. High initial deployment costs can be a barrier, especially for small and medium-sized enterprises. Additionally, concerns regarding data privacy and security necessitate robust measures to protect sensitive information processed at the edge.
Looking ahead, the U.S. Edge AI platforms market is expected to continue its upward trajectory. With ongoing technological advancements and increasing awareness of the benefits of edge computing, industries are poised to harness the full potential of Edge AI, driving innovation and efficiency across various sectors.
Get an In-Depth Research Analysis of the Global Edge AI Platforms Market Size And Forecast [2025-2032]
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ASRock Industrial
Advantech
APLEX Technology Inc.
Neousys Technology
LITEMAX
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Hailo
ADLINK Technology
Siemens Global
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Forecr.io
Elotec
SECO
TZTEK Technology
MiTAC Computing Technology
Shenzhen JHC Technology Development
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By the year 2030, the scale for growth in the market research industry is reported to be above 120 billion which further indicates its projected compound annual growth rate (CAGR), of more than 5.8% from 2023 to 2030. There have also been disruptions in the industry due to advancements in machine learning, artificial intelligence and data analytics There is predictive analysis and real time information about consumers which such technologies provide to the companies enabling them to make better and precise decisions. The Asia-Pacific region is expected to be a key driver of growth, accounting for more than 35% of total revenue growth. In addition, new innovative techniques such as mobile surveys, social listening, and online panels, which emphasize speed, precision, and customization, are also transforming this particular sector.
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Growing demand for below applications around the world has had a direct impact on the growth of the Global Edge AI Platforms Market
Cloud-based
On-premises
Hybrid
Smart Cities
Healthcare
Manufacturing
Agriculture
Transportation
Retail
Consumer Electronics
Automotive
Telecommunications
Energy and Utilities
Government and Defense
Financial Services
Hardware
Edge Devices
Processors
Networking Equipment
Machine Learning
Deep Learning
Natural Language Processing (NLP)
Computer Vision
Robotics Process Automation (RPA)
Global (United States, Global and Mexico)
Europe (Germany, UK, France, Italy, Russia, Turkey, etc.)
Asia-Pacific (China, Japan, Korea, India, Australia, Indonesia, Thailand, Philippines, Malaysia and Vietnam)
South America (Brazil, Argentina, Columbia, etc.)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
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1. Introduction of the Global Edge AI Platforms Market
Overview of the Market
Scope of Report
Assumptions
2. Executive Summary
3. Research Methodology of Verified Market Reports
Data Mining
Validation
Primary Interviews
List of Data Sources
4. Global Edge AI Platforms Market Outlook
Overview
Market Dynamics
Drivers
Restraints
Opportunities
Porters Five Force Model
Value Chain Analysis
5. Global Edge AI Platforms Market, By Type
6. Global Edge AI Platforms Market, By Application
7. Global Edge AI Platforms Market, By Geography
Global
Europe
Asia Pacific
Rest of the World
8. Global Edge AI Platforms Market Competitive Landscape
Overview
Company Market Ranking
Key Development Strategies
9. Company Profiles
10. Appendix
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