What is the present valuation and projected CAGR of the ai in hardware market?
The AI in hardware market size has grown exponentially in recent years. It will grow from $25.45 billion in 2024 to $31.36 billion in 2025 at a compound annual growth rate (CAGR) of 23.2%. The growth in the historic period can be attributed to strong economic growth in emerging markets, an increase in penetration of smartphones, and a rise in the adoption of AI hardware in banking, and IT and telecom.
The AI in hardware market size is expected to see exponential growth in the next few years. It will grow to $72.77 billion in 2029 at a compound annual growth rate (CAGR) of 23.4%. The growth in the forecast period can be attributed to rapid urbanization, increasing penetration of the Internet, increase in smart cities, increasing demand for autonomous vehicles, and growing demand for cloud computing. Major trends in the forecast period include rapid urbanization, increasing penetration of the Internet, increase in smart cities, increasing demand for autonomous vehicles, and growing demand for cloud computing.
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What key drivers have fueled the ai in hardware market’s development over the years?
The adoption of AI hardware in banking, IT, and telecom is expected to propel the growth of AI in the hardware market going forward. Banking, IT and telecom are all growing industries. These industries are increasingly leveraging AI technologies to enhance their operations, improve customer experiences, and drive innovation. AI hardware is used in banking to enhance fraud detection and prevention, risk management, and customer service. IT companies use AI hardware to analyze large amounts of data from connected devices to detect anomalies and predict when maintenance is required and telecom companies use AI-enabled hardware to analyze network traffic in real-time to identify and fix performance issues. For instance, in May 2022, according to the International Business Machines Corporation (IBM), a US-based technology company, 35% of businesses worldwide used artificial intelligence (AI) in 2022, which is an increase of 4% from 2021. In addition, there was a 13% increase in organizations adopting artificial intelligence (AI) in 2022 compared to 2021. Therefore, the adoption of AI hardware in banking, IT, and telecom is driving the growth of the AI hardware market.
What is the segmentation for 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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Who are the most influential companies in the ai in hardware market?
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 are the top industry trends projected to impact the ai in hardware market?
Major companies operating in the AI hardware market are focusing on technological advancements such as AI accelerators to boost computational efficiency and speed for complex AI tasks including deep learning and real-time inference. An AI accelerator is a specialized hardware component designed to optimize the performance of artificial intelligence tasks, such as machine learning, deep learning, and neural network processing. For instance, in October 2024, Advanced Micro Devices, Inc. (AMD), a US-based American multinational corporation and fabless semiconductor company, introduced the Instinct MI325X AI accelerator, built on the CDNA 3 architecture, featuring 256GB of HBM3E memory and 6.0 TB/s bandwidth, aimed at surpassing NVIDIA’s H200 in memory capacity, bandwidth, and performance. This energy-efficient accelerator is designed to power large-scale AI models, solidifying AMD’s competitive stance against industry leaders Intel and NVIDIA in the AI hardware market.
What are the major regional insights for the ai in hardware market, and which region holds the top position?
The countries covered in the AI in hardware market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Italy, Spain, Canada.
What Does The AI In Hardware Market Report 2025 Offer?
The ai in hardware market research report from The Business Research Company offers global market size, growth rate, regional shares, competitor analysis, detailed segments, trends, and opportunities.
AI in hardware refers to the use of artificial intelligence (AI) technologies in hardware devices or systems. This includes the use of machine learning algorithms, deep learning models, and other AI techniques to enhance the functionality, performance, and efficiency of hardware devices such as computers, smartphones, and Internet of Things (IoT) devices.
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