Machine Learning Chip
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Machine Learning Chip Market Size Valuation Forecast: What Will the Market Be Worth by 2025?
The market size for machine learning chips has seen significant expansion in recent years. A noteworthy increase from $21.12 billion in 2024 to $28.78 billion in 2025 is anticipated, with a compound annual growth rate (CAGR) of 36.3%. Factors such as the surge in big data analytics, widespread adoption of cloud services, the arrival of edge computing, a rise in AI applications in various industries, and the growth of IoT devices have contributed to the expansion during the historical period.
Machine Learning Chip Market Size Forecast: What’s the Projected Valuation by 2029?
Anticipations predict a rapid expansion in the machine learning chip market in the coming years, projecting it to surge to a value of $102.1 billion by 2029, progressing at a compound annual growth rate (CAGR) of 37.2%. The anticipated growth during the forecast period is due to the amalgamation of AI with edge devices, the continued complexity of AI algorithms, a heightened emphasis on energy efficiency, broadening horizons of AI application areas, and a worldwide thrust towards autonomous systems. During this forecast period, key trends to watch include increased technological partnerships and collaborations, investment escalation in AI research and development, advancements in AI technology, initiation of open-source hardware programs, and the growth of customization and specialization.
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What Are the Drivers Transforming the Machine Learning Chip Market?
The escalating number of cyberattacks is projected to drive the expansion of the machine learning chip market. A cyberattack is defined as an aggressive motion aimed at computer information systems, networks, infrastructures, or personal gadgets with the purpose of collecting, disrupting, denying, degrading, or annihilating data system resources or data. Machine learning chips aid in cybersecurity by continually assessing data, determining patterns, and making precise predictions to counter possible cyber threats using machine learning algorithms. For example, in February 2023, the Australian Cyber Security Centre, a cyber security firm based in Australia, mentioned that there were 76,000 reports of cybercrime in 2022, an increase of 13% from the previous year. Additionally, the US-based Anti-Phishing Working Group reported in June 2022 that it recorded a total of 1,025,968 phishing attacks in the first quarter of 2022, a 15% increase from the fourth quarter of 2021, which had 888,585 reported attacks. Hence, the increasing cyberattacks are fuelling the expansion of the machine learning chip market.
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What Long-Term Trends Will Define the Future of the Machine Learning Chip Market?
Key players in the machine learning chip market are dedicated to the creation of groundbreaking products, like high-end system-on-chips (SoCs), to strengthen their market positions. The term system-on-chip (SoC) pertains to an integrated circuit (IC) that comprises all the elements of a complete electronic system within a singular chip. For example, in January 2022, Silicon Labs, a semiconductor manufacturer based in the UK, introduced new AI/ML chips as well as a toolkit for the edge, with the objective of facilitating the deployment of artificial intelligence (AI) and machine learning (ML) at the IoT edge. This innovative wireless SoC encompasses an AI and machine learning accelerator, wireless radio, ultra-low-power capabilities, and is compatible with IP-based connectivity protocols like Matter and Zigbee.
Which Segments in the Machine Learning Chip Market Offer the Most Profit Potential?
The machine learning chipmarket covered in this report is segmented –
1) By Chip Type: Graphics Processing Unit (GPU), Application-Specific Processor (ASIC), Field Programmable Gate Array (FPGA), Central Processing Unit (CPU), Other Chips
2) By Technology: System-On-Chip (SoC), System-In-Package, Multi-Chip Module, Other Technologies
3) By Industry Vertical: Banking, Financial Services, And Insurance (BFSI), IT And Telecom, Media And Advertising, Retail, Healare, Automotive, Other Industry Verticals
Subsegments:
1) By Graphics Processing Unit (GPU): Dedicated GPUs, Integrated GPUs
2) By Application-Specific Integrated Circuit (ASIC): Custom ASICs For AI, General-Purpose ASICs
3) By Field Programmable Gate Array (FPGA): Configurable FPGAs, Embedded FPGAs
4) By Central Processing Unit (CPU): Multi-Core CPUs, High-Performance CPUs
5) By Other Chips: Neuromorphic Chips, Digital Signal Processors (DSP), Tensor Processing Units (TPU)
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Which Firms Dominate the Machine Learning Chip Market by Market Share and Revenue in 2025?
Major companies operating in the machine learning chip market report are Google LLC, Samsung Electronics Co. Ltd., Tencent Holdings Limited, Amazon Web Services Inc., Taiwan Semiconductor Manufacturing Company Limited (TSMC), Intel Corporation, International Business Machines Corporation (IBM), SoftBank Group Corp, Qualcomm Incorporated, Micron Technology, Inc. (US), NVIDIA Corporation, Toshiba Corporation, Advanced Micro Devices Inc., Texas Instruments Incorporated, Baidu Inc., NXP Semiconductors, Synopsys Inc., Lattice Semiconductor Corporation, Horizon Robotics, Hailo, Cerebras Inc., BitMain Technologies Holding Company, Graphcore, Mythic, Gyrfalcon Technology, Flex Logix Technologies, Wave Computing, Inc., Esperanto Technologies, BrainChip Holdings
Which Regions Offer the Highest Growth Potential in the Machine Learning Chip Market?
North America was the largest region in the machine learning chip market in 2024. The regions covered in the machine learning chip market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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