Machine Learning Chip Market Size, Insights, Outlook, and Overview by 2024-2033

Overview and Scope

Machine-learning chips are specialized hardware components designed to accelerate the processing of machine-learning algorithms. These chips are crafted to handle the complex mathematical computations involved in training and inference tasks associated with machine-learning models more efficiently than general-purpose ones.

Sizing and Forecast

The machine learning chip market size has grown exponentially in recent years. It will grow from $15.28 billion in 2023 to $21.12 billion in 2024 at a compound annual growth rate (CAGR) of 38.3%. 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 $75.17 billion in 2028 at a compound annual growth rate (CAGR) of 37.4%. 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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Segmentation & Regional Insights

The machine learning chip market 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

North America was the largest region in the machine learning chip market in 2023. 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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Major Driver Impacting Market Growth

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.

Key Industry Players

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

The machine learning chip market report table of contents includes:

1. Executive Summary
2. Machine Learning Chip Market Characteristics
3. Machine Learning Chip Market Trends And Strategies
4. Machine Learning Chip Market – Macro Economic Scenario
5. Global Machine Learning Chip Market Size and Growth
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32. Global Machine Learning Chip Market Competitive Benchmarking
33. Global Machine Learning Chip Market Competitive Dashboard
34. Key Mergers And Acquisitions In The Machine Learning Chip Market
35. Machine Learning Chip Market Future Outlook and Potential Analysis
36. Appendix

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