- In July 2024, VIA Technologies has partnered with Rutronik to enhance the accessibility of its advanced IoT, edge AI, and computer vision technologies. This strategic collaboration aims at industrial, retail, and commercial sectors, focusing on real-time data processing and reduced latencies. VIA’s intelligent edge solutions, equipped with MediaTek Genio processors, are tailored for diverse applications in these sectors
- In July 2024, TRUMPF has teamed up with SiMa.ai, a software-centric company specializing in embedded edge machine learning systems, to integrate AI capabilities into TRUMPF’s laser systems. This collaboration targets applications in welding, cutting, marking, and powder metal 3D printing. The alliance will empower TRUMPF’s laser technologies with advanced artificial intelligence for more efficient and precise operations
- In March 2024, Edge Impulse Inc. launched a direct integration with Arm Keil MDK, offering access to advanced machine learning (ML) and AI models. This integration facilitates collaboration among embedded systems specialists and teams, helping them develop and bring edge AI tools to market more efficiently. The initiative targets simplifying the development of ML models for edge devices
- In March 2024, HPE unveiled new GenAI training and inference products, using microservices and Nvidia GPU software. Their edge-to-data-center, hybrid, and cloud solutions are designed to accelerate GenAI capabilities. The introduction includes supercomputing systems powered by Nvidia components, aimed at enhancing AI model training and inference, addressing enterprise needs for AI-driven performance and scalability
- In September 2022, Nvidia expanded its Edge Artificial Intelligence technology for healthcare and robotics with the Nvidia IGX Platform. Targeted at both industrial and medical applications, the platform is designed to accelerate performance, enabling real-time insights. This expansion provides cutting-edge AI solutions that enhance the functionality and responsiveness of critical sectors such as healthcare and robotics
- In February 2021, Telstra partnered with AWS to combine its 5G network with AWS’s edge technology. This collaboration seeks to improve the performance of 5G applications by leveraging AWS’s edge computing integrated into Telstra’s 5G infrastructure. The partnership aims to enhance edge computing capabilities, unlocking the potential of real-time applications across various industries in Australia
Frequently Asked Questions
The market is segmented based on Global Edge Artificial Intelligence (AI) Hardware Market Segmentation, By Device (Smartphones, Cameras, Robots, Wearable, Smart Speaker, Automotive, and Smart Mirror), Processors (Central Processing Unit (CPU), Graphics Processing Unit (GPU), Application-Specific Integrated Circuit (ASIC) and Others), Power Consumption (Less than 1W, 1-3W, 3-5W, 5-10W, and More than 10W), Process (Training and Inference), End User Industry (Consumer Electronics, Smart Home, Automotive and Transportation, Government, Healthcare, Industrial, Aerospace and Defence, Construction, and Others) – Industry Trends and Forecast to 2032
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The Global Edge Ai Hardware Market size was valued at USD 1.86 USD Billion in 2024.
The Global Edge Ai Hardware Market is projected to grow at a CAGR of 20.84% during the forecast period of 2025 to 2031.
The major players operating in the market include Cisco, IBM, Intel Corporation, SAMSUNG, Google, Microsoft, Micron Technology, NVIDIA Corporation, Oracle, Arm Limited, Xilinx, Advanced Micro Devices, Dell, Hewlett Packard Enterprises Development LP, Habana Labs Ltd, Facebook, Synopsys, Nutanix, Pure Storage, Amazon Web Services.
The market report covers data from the U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.
