With the wave of 5G proliferation, the explosion of IoT devices, and the surge in demand for localized AI, edge AI hardware, as the “real-time intelligent computing power base,” is experiencing explosive growth. According to Mordor Intelligence’s “2024-2029 Global Edge AI Hardware Market Report“, the market size reached $3.26 billion in 2023 and is expected to soar to $8.63 billion by 2029, with a compound annual growth rate (CAGR) of 18.58%. Technological segmentation and regional demand are becoming the core growth engines.
Related reports are available in my Knowledge Planet, and everyone is welcome to further discuss in the Geni Turtle’s planet~
1. Market Structure: Clear Technological Segmentation, Core Areas Lead Growth 1. By Processor Type: ASICs Lead Growth, CPUs Hold the Largest Share CPUs: In 2023, it became the largest segment market at $1.23 billion (37.75% share), expected to reach $2.72 billion by 2029 (CAGR 14.99%). Intel’s Xeon D processors, with low power consumption and high compatibility, are widely used in smart edge devices; AMD’s Ryzen AI PRO 300 series, launching in 2024, integrates Copilot+ functionality, making it the preferred choice for enterprise-level edge computing. ASICs: The fastest-growing segment (CAGR 23.94%), reaching $540 million in 2023 and expected to hit $1.89 billion by 2029. Amazon’s Inferentia and Meta’s custom AI chips focus on edge inference, while Broadcom will launch the Jericho-3-AI ASIC in collaboration with DriveNets in 2024, suitable for large-scale AI clusters, becoming a core choice for high-computing scenarios.GPUs and FPGAs: GPUs reached $880 million in 2023 (CAGR 19.19%), with NVIDIA’s Jetson series supporting real-time computing for robotics and autonomous driving; FPGAs reached $600 million in 2023 (CAGR 18.80%), with Intel’s Altera FPGA aiding low-latency data processing in industrial equipment.2. By Device Type: Smartphones Hold the Largest Share, Robotics Lead Growth Smartphones: In 2023, it accounted for $1.25 billion (38.35% share), expected to reach $3.41 billion by 2029 (CAGR 19.15%). The MediaTek Dimensity 9400 chip (launching in Q4 2024) integrates APU 690, enhancing AI camera and gaming performance; Apple’s iPhone 16, equipped with the A18 Bionic chip, achieves local AI generation capabilities, driving replacement demand. Robotics: The fastest-growing segment (CAGR 22.53%), reaching $380 million in 2023 and expected to reach $1.23 billion by 2029. Qualcomm’s Edge AI RB3 Gen 2 chip, launching in 2024, reduces robot power consumption by 88%; Israel’s Pickommerce secured $34 million in funding, with its PickoBot relying on edge AI for precise sorting. – Other devices: Cameras (CAGR 17.42%), wearable devices (CAGR 20.99%) follow closely, with Sony and Raspberry Pi jointly launching an AI camera, set to be released in September 2024 (priced at $70), suitable for edge visual processing. 3. By End Industry: Consumer Electronics Dominate, Healthcare Surges Consumer Electronics: In 2023, it reached $1.23 billion (37.62% share), expected to reach $3.05 billion by 2029 (CAGR 17.34%). Samsung will launch the Exynos 2400 chip in 2024, supporting local AI image generation; Meta and MediaTek are collaborating to deploy the Llama 2 large model on edge devices, enhancing privacy and response speed.Healthcare: The fastest-growing segment (CAGR 22.46%), reaching $290 million in 2023 and expected to reach $930 million by 2029. GE Healthcare will acquire Intelligent Ultrasound’s AI business for $51 million in 2024, and Advantech will launch the USM-300 medical edge AI computer, supporting real-time vital sign analysis. Automotive and Manufacturing: The automotive sector reached $360 million in 2023 (CAGR 18.05%), with Continental’s Smart Cockpit HPC integrating Google Cloud AI; the manufacturing sector reached $440 million in 2023 (CAGR 19.51%), with Cognex’s In-Sight L38 3D vision system aiding quality inspection automation. 2. Regional Landscape: Asia-Pacific Leads Globally, North America Holds Technological Edge1. Asia-Pacific: Largest Scale and Fastest Growth In 2023, the market size was $1.25 billion (38.41% share), expected to reach $3.57 billion by 2029 (CAGR 20.04%), contributing 73.9% of the incremental growth. China’s “East Data West Computing” project promotes the deployment of Huawei’s Atlas 500 AI edge stations; India’s electronic market size reached $155 billion in 2023, with Xiaomi and Motorola models equipped with MediaTek Genio series chips accelerating edge AI penetration; Japan’s METI is building a supercomputer in 2023 (completion in 2024) to support automotive companies’ edge AI R&D. 2. North America: Technological Hub and Investment Core In 2023, it reached $680 million (CAGR 19.38%), expected to reach $1.88 billion by 2029. The U.S. government will allocate $25 million in 2024 to support autonomous driving R&D, and Intel will launch the Edge Platform in 2024 to simplify edge AI deployment; Canada’s robotics market is driven by industrial automation, with ROBOTIQ’s edge vision solutions widely used in manufacturing. 3. Europe and Other Regions Europe reached $940 million in 2023 (CAGR 16.78%), with Germany and France promoting the implementation of autonomous driving regulations, and Bosch’s predictive video systems adapting to smart traffic; Latin America (CAGR 17.09%) and the Middle East and Africa (CAGR 15.20%) show steady growth, with Brazil investing $4.07 billion in 2024 to enhance AI infrastructure, and Nokia’s Dubai Open Innovation Lab promoting the integration of edge AI and 5G. 3. Competitive Landscape: Leading Companies Dominate Technology, Frequent Cross-Industry Collaborations 1. International Giants: Control Core Technology Ecosystem NVIDIA: The Jetson series dominates the edge AI GPU market, collaborating with Google Cloud in 2024 to optimize generative AI deployment, with the Blackwell platform improving energy efficiency by 25 times compared to previous generations, securing orders from Tesla and Amazon. – Intel: The combination of Xeon D processors and Altera FPGAs creates a competitive advantage, collaborating with L&T in 2024 to develop CV2X edge solutions, empowering smart transportation; the Mobileye division focuses on edge computing power for autonomous driving, with revenue share reaching 10.65% in 2024. Qualcomm: The Edge AI RB3 Gen 2 chip adapts to IoT and robotics, collaborating with STMicroelectronics in 2024 to enhance compatibility for industrial edge devices, with automotive business revenue share continuously increasing. 2. Regional Leaders and Cross-Industry Players Huawei: The Atlas series supports China’s edge AI infrastructure, with over 207,000 global employees in 2023, focusing R&D investments on Ascend chips, suitable for medical and industrial scenarios.MediaTek: The Dimensity series holds a significant share of Android flagship devices, with the Dimensity 9400 adopting a 3nm process in 2024, enhancing AI performance by 40%, and collaborating with Meta to promote large model edge deployment. Amazon: AWS Snowball Edge and Inferentia chips build an edge-cloud collaborative ecosystem, with cloud computing business revenue share reaching 10.76% in 2023, and edge hardware becoming a new growth engine. 4. Future Trends: Software Definition and Green Initiatives in Parallel The report predicts that from 2024 to 2029, the market will evolve in two major directions:One is software-defined edge, with Cisco and Huawei launching cloud-native power management platforms that dynamically allocate loads through AI;The second is full-link greening, with the share of renewable energy supply expected to rise from 35% in 2024 to 65% in 2029, with Schneider Electric collaborating with EDF to promote the synergy between nuclear power and data centers. For enterprises, betting on ASICs and 400V ± DC technology, and building a “power-storage” ecosystem is key; investors should focus on infrastructure opportunities in North America’s hyperscale data centers and Asia-Pacific edge data centers.