AI In Hardware Market Size
The AI In Hardware Market Report by The Business Research Company delivers a detailed market assessment, covering size projections from 2025 to 2034. This report explores crucial market trends, major drivers and market segmentation by [key segment categories].
How Big Is the AI In Hardware Market Size Expected to Be by 2034?
There has been a significant expansion in the size of the AI in hardware market in the past few years. An upsurge is projected, with a rise from $25.45 billion in 2024 to $31.36 billion in 2025, accounting for a compound annual growth rate (CAGR) of 23.2%. The notable growth during the historical period is due to robust economic acceleration in developing markets, heightened smartphone usage, and an increased adoption of AI hardware in sectors like banking, IT and telecom.
The market for AI in hardware is anticipated to undergo massive expansion in the coming years, raising its valuation to approximately $72.77 billion by 2029, with a compound annual growth rate (CAGR) of 23.4%. This surge within the projected period is largely ascribed to swift urbanization, wider acceptance and usage of the Internet, progression towards smart cities, a surge in the requirement for autonomous vehicles, and escalated demand for cloud computing. The key contributing trends within this forecasted time frame encompass rapid urbanization, enhanced Internet penetration rate, growth in smart cities, rising demand for autonomous vehicles, and increased reliance on cloud computing.
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What Are the Emerging Segments Within the AI In Hardware Market?
The AI in hardware market covered in this report is segmented –
1) By Type: Processor, Memory Network, Storage
2) By Deployment: Cloud, On-Premise
3) By Technology: Machine Learning, Computer Vision, Natural Language Processing, Expert Systems
4) By Application: Training And Simulation, Driver Monitoring Systems, Surveillance And Security, Other Applications
5) By End User: Telecommunication And IT (Information Technology) Industry, Banking And Finance Sectors, Ecommerce, Robotics, Healthcare, Other End Users
Subsegments:
1) By Processor: Graphics Processing Units (GPUs), Tensor Processing Units (TPUs), Field-Programmable Gate Arrays (FPGAs), Application-Specific Integrated Circuits (ASICs)
2) By Memory Network: High Bandwidth Memory (HBM), Dynamic Random-Access Memory (DRAM), Non-Volatile Memory (NVM)
3) By Storage: Solid State Drives (SSDs), Hard Disk Drives (HDDs), Cloud Storage Solutions
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What Long-Term Drivers Are Shaping AI In Hardware Market Trends?
The surge in utilizing AI hardware across banking, IT, and telecom sectors is anticipated to boost the expansion of the AI hardware market. With continuous growth in these areas, artificial intelligence is becoming a crucial part for the enhancement of their operations, customer experiences, and encouraging innovation. In the banking sector, AI hardware is deployed to augment fraud detection, risk management, and customer support services. IT firms leverage AI hardware for analyzing vast data volume from connected devices for anomaly detection and prediction of maintenance timings. Meanwhile, telecom companies apply AI-driven hardware for real-time network traffic analysis to spot and rectify performance-related issues. For instance, International Business Machines Corporation (IBM), a tech company based in the U.S., revealed in May 2022 that the global business sector had witnessed a 4% increase in AI usage from 2021, reaching 35% in 2022. Furthermore, there was a rise of 13% in the number of organizations opting for AI in 2022 when compared to 2021. As a result, the rising utilization of AI hardware in the banking, IT, and telecom sectors is catalyzing the growth of the AI hardware market.
Who Are the Top Competitors in Key AI In Hardware Market Segments?
Major companies operating in the AI in hardware market include Qualcomm Technologies, Alphabet Inc., Micron Technology, NVIDIA Corporation, Huawei Technologies Co. Ltd.,Intel, Apple Inc., IBM, Advanced Micro Devices Inc., Samsung Electronics Co. Ltd., Xilinx, Cambricon Technologies, Graphcore, Kalray, Mipsology, BrainChip Holdings, LightOn, Synetec, Imobisoft, Light IT Global, Webol, Theodo, Digiryte, Innowise Group, Magora, Skyward Digital, GPU-Tech, Elvees NeoTek, Cogito Instruments, Trencadis Corp, Dell Technology Inc., Amazon Web Services, Inc., Open AI, Empiria.ai, NetuxLab, Tellumat, DataProphet, Cortex Logic, JUMO, Xineoh, Clevva
What AI In Hardware Market Trends Are Gaining Traction Across Different Segments?
Prominent firms in the AI hardware market are prioritizing technological progression, such as AI accelerators, to enhance computational speed and capabilities for elaborate AI tasks like deep learning and real-time analysis. An AI accelerator is a specific hardware part engineered to augment the functionality of AI tasks, encompassing machine learning, deep learning, and neural network processing. For example, Advanced Micro Devices, Inc. (AMD), a renowned American multinational and fabless semiconductor corporation, unveiled the Instinct MI325X AI accelerator in October 2024. Constructed on the CDNA 3 architecture, it boasts 256GB of HBM3E memory and 6.0 TB/s bandwidth, aiming to outperform NVIDIA’s H200 in terms of memory capacity, bandwidth, and performance. This power-efficient accelerator is built to facilitate large-scale AI models, strengthening AMD’s competitive edge against industry frontrunners Intel and NVIDIA in the AI hardware sector.
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Which Regions Are Becoming Hubs for AI In Hardware Market Innovation?
North America was the largest region in the AI in hardware market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the AI in hardware market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
Frequently Asked Questions:
1. What Is the Market Size and Growth Rate of the AI In Hardware Market?
2. What is the CAGR expected in the AI In Hardware Market?
3. What Are the Key Innovations Transforming the AI In Hardware Industry?
4. Which Region Is Leading the AI In Hardware Market?
Why This Report Matters:
Competitive overview: This report analyzes the competitive landscape of the 3D imaging software market, evaluating key players on market share, revenue, and growth factors.
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