How Much Growth Is Anticipated In The Machine Learning Chip Market Size From 2025 To 2034?
The machine learning chip market size has grown exponentially in recent years. It will grow from $21.12 billion in 2024 to $28.78 billion in 2025 at a compound annual growth rate (CAGR) of 36.3%. The growth in the historic period can be attributed to rise in big data analytics, increasing adoption of cloud services, emergence of edge computing, growing ai applications across industries, expansion of iot devices.
The machine learning chip market size is expected to see exponential growth in the next few years. It will grow to $102.1 billion in 2029 at a compound annual growth rate (CAGR) of 37.2%. The growth in the forecast period can be attributed to integration of ai in edge devices, continued ai algorithm complexity, increased focus on energy efficiency, expanding scope of ai applications, global push for autonomous systems. Major trends in the forecast period include technological partnerships and collaborations, investments in ai research and development, advancements in ai technologies, open source hardware initiatives, customization and specialization.
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What Essential Growth Drivers Are Pushing The Machine Learning Chip Market Forward?
The rise in cyberattacks is expected to propel the growth of the machine learning chip market going forward. A cyberattack refers to any offensive maneuver that targets computer information systems, networks, infrastructures, or personal devices with the intent to collect, disrupt, deny, degrade, or destroy information system resources or information. Machine learning chips are helpful in cybersecurity by enabling the use of machine learning algorithms to constantly evaluate data, identify patterns, and make accurate predictions to mitigate potential cyber-attacks. For instance, in February 2023, according to the Australian Cyber Security Centre, an Australia-based cyber security agency, the cybercrime reports received in 2022 were 76,000, up from 13% from the previous year. Furthermore, in June 2022, according to the Anti-Phishing Working Group, a US-based organization, the APWG recorded a total of 1,025,968 phishing attacks in the first quarter of 2022, representing a 15% rise from the fourth quarter of 2021, when 888,585 attacks were reported. Therefore, the rise in cyberattacks is driving the growth of the machine learning chip market.
Which Segment Groups Play A Crucial Role In Outlining The Machine Learning Chip Market’s Structure?
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, Healthcare, 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)
What Influential Trends Are Gaining Momentum Within The Machine Learning Chip Market?
Major companies operating in the machine learning chip market are focused on developing innovative products, such as advanced system-on-chips (SoCs), to gain a competitive edge in the market. A system-on-chip (SoC) refers to an integrated circuit (IC) that incorporates all the components of a complete electronic system onto a single chip. For instance, in January 2022, Silicon Labs, a UK-based semiconductor manufacturing company, launched new AI/ML chips and a toolkit for the edge, aiming to enable the implementation of artificial intelligence (AI) and machine learning (ML) at the IoT edge. It is a new wireless SoC that includes an AI and machine learning accelerator, wireless radio, ultra-lower-power capabilities, and support for IP-based connectivity protocols, such as Matter and Zigbee.
Which Companies Represent The Key Strategic Forces Within The Machine Learning Chip Market?
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
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Which Regional Clusters Are Forecasted To Outperform Others 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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