Machine Learning Chip Market Report 2026

Machine Learning Chip Market Overview

• Machine Learning Chip market size has reached to $28.78 billion in 2025 • Expected to grow to $140.11 billion in 2030 at a compound annual growth rate (CAGR) of 37.2% • Growth Driver: Surge In Cybersecurity Threats Fuels Demand For Machine Learning Chips • Market Trend: Development of Advanced AI-Integrated System-on-Chips (SoCs) to Enhance Machine Learning Performance • North America was the largest region in 2025.

What Is Covered Under Machine Learning Chip Market?

Machine-learning chips are specialised 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. The main types of machine learning chips are graphics processing units (GPU), application-specific processors (ASIC), field-programmable gate arrays (FPGA), central processing units (CPU), and others. A Graphics Processing Unit (GPU) is a specialized electronic circuit designed to accelerate computer graphics and image processing. Various types of technologies include system-on-chip (SoC), system-in-package, multi-chip modules, and others. These are used by several industry verticals, such as banking, financial services, and insurance (BFSI), IT and telecom, media and advertising, retail, healthcare, automotive, and others.

What Is The Machine Learning Chip Market Growth Forecast?

The machine learning chip market size is expected to see exponential growth in the next few years. It will grow to $140.11 billion in 2030 at a compound annual growth rate (CAGR) of 37.2%. The growth in the forecast period can be attributed to growth in AI workloads, demand for edge AI devices, expansion of cloud AI infrastructure, R&D in specialized ML chips, adoption of high-performance GPUs and TPUs. Major trends in the forecast period include high-performance AI chips, edge AI hardware deployment, asic and fpga optimization for ml, neuromorphic chip development, gpu-accelerated AI computing.

What Is The Driver Of The Machine Learning Chip Market?

The rise in cyberattacks is expected to propel the growth of the machine learning chip market going forward. A cyberattack refers to any offensive manoeuvre 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 support in cybersecurity by enabling the use of machine learning algorithms to constantly evaluate data, identify patterns, and make accurate predictions to mitigate potential cyberattacks. For instance, in November 2023, according to the Anti-Phishing Working Group (APWG), a US-based, international non-profit organisation dedicated to cybercrime prevention, 1,624,144 phishing attacks were recorded in the first quarter of 2023, the total exceeded the 888,585 attacks reported in Q4 2022 and also surpassed the previous record of 1,270,883 attacks in Q3 2022. Therefore, the rising number of cyberattacks is driving the growth of the machine-learning chip market.

Key Players In The Global Machine Learning Chip Market

Major companies operating in the machine learning chip market are Google LLC; Samsung Electronics Co. Ltd.; Tencent Holdings Limited; Amazon Web Services Inc.; Taiwan Semiconductor Manufacturing Company Limited; Intel Corporation; International Business Machines Corporation (IBM); SoftBank Group Corp; Qualcomm Incorporated; Micron Technology Inc.; 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

Global Machine Learning Chip Market Trends and Insights

Major companies operating in the machine learning chip market are focusing on developing advanced system-on-chips (SoCs) to gain a competitive edge by integrating AI/ML acceleration, heterogeneous processing, and connectivity onto single platforms. A system-on-chip (SoC) is an integrated circuit that combines all the essential components of a complete electronic system including processors, memory, input/output interfaces, and specialised accelerators onto a single chip. For instance, in May 2025, Qualcomm Incorporated, a US-based semiconductor company, launched the Snapdragon 7 Gen 4 mobile platform, which features significantly improved on-device AI capabilities, including a neural processing unit (NPU) that supports generative-AI assistants and large language models (LLMs) directly on the device. Delivering a 65% improvement in AI performance compared to its predecessor, this innovation underscores how mobile SoCs are evolving to incorporate robust ML/AI accelerators, enabling richer and more efficient AI experiences on smartphones and other connected devices.

What Are Latest Mergers And Acquisitions In The Machine Learning Chip Market?

In October 2023, Advanced Micro Devices Inc., a US-based semiconductor company, acquired Nod.AI for an undisclosed amount. The acquisition is expected to help Advanced Micro Devices Inc. enhance its open AI software capabilities and strengthen its position in the market. Nod.AI is a US-based software company specialising in the development of machine learning chips.

What Defines the Machine Learning Chip Market?

The machine learning chip market consists of sales of neural processing units (NPU), graphical processing units (GPU), control units (CU), arithmetic logic units (ALU), address generation units (AGU), and memory management units (MMU). Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

How is Market Value Defined and Measured?

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

What Key Data and Analysis Are Included in the Machine Learning Chip Market Report 2026?

The machine learning chip market research report is one of a series of new reports from The Business Research Company that provides market statistics, including industry global market size, regional shares, competitors with the market share, detailed market segments, market trends and opportunities, and any further data you may need to thrive in the machine learning chip industry. The market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future state of the industry.