Neural Processor Market Global Report 2026

The neural processor market size has grown exponentially in recent years. It will grow from $8.21 billion in 2025 to $10.06 billion in 2026 at a compound annual growth rate (CAGR) of 22.6%. The growth in the historic period can be attributed to rising demand for AI-enabled devices, growth in machine learning workloads, increasing adoption of AI-capable smartphones, expansion of computer vision applications, and growing investments in data centers.

The neural processor market size is expected to see exponential growth in the next few years. It will grow to $22.4 billion in 2030 at a compound annual growth rate (CAGR) of 22.2%. The growth in the forecast period can be attributed to increasing demand for real-time AI inference, rising adoption of edge computing, growing deployment of autonomous vehicles, increasing demand for energy-efficient AI processing, and expanding generative AI workloads. Major trends in the forecast period include increasing adoption of edge AI processing, growing demand for high-performance AI inference, advancements in low-power neural processing, rising integration of AI processors into mobile devices, and increasing development of specialized AI processing architectures.

The rising adoption of artificial intelligence (AI) is expected to propel the growth of the neural processor market going forward. Artificial intelligence refers to the use of machines and computer systems to simulate human intelligence and perform functions such as learning, reasoning, problem-solving, and decision-making. The adoption of artificial intelligence is increasing due to the growing need for intelligent automation, which enables businesses to streamline operations, increase productivity, lower costs, and improve decision-making through automated and data-driven processes. Artificial intelligence supports the growth of neural processors by increasing demand for specialized processors capable of efficiently handling AI workloads, enabling faster processing, higher performance, improved energy efficiency, and real-time AI capabilities across various applications. For instance, in March 2025, according to the Office for National Statistics, a UK-based government agency, AI adoption reached 9% among firms in the services sector and 5% among firms in the manufacturing sector in 2023, while overall adoption increased to 22% in 2024. Therefore, the rising adoption of artificial intelligence (AI) is driving the growth of the neural processor market.

Major companies operating in the neural processor market are concentrating on developing innovative solutions, such as cloud-based delivery models, to improve AI inference performance, infrastructure scalability, energy efficiency, and the cost-effectiveness of artificial intelligence workload deployment. Cloud-based delivery models allow users to access neural processing units (NPUs) through the cloud on a subscription or pay-as-you-use basis, removing the need for dedicated hardware while offering scalable, energy-efficient, and lower-cost AI inference compared with conventional on-premises GPU-based infrastructure. For instance, in July 2026, Samsung SDS Co. Ltd., a South Korea-based IT services company, launched Neural Processing Unit as a Service (NPUaaS) on the Samsung Cloud Platform, powered by FuriosaAI's second-generation RNGD neural processing unit. The service allows enterprises to lease NPU computing resources through a subscription model rather than investing in dedicated hardware, with flexible configurations ranging from one to eight chips. It integrates high-performance storage, high-speed networking, and sovereign cloud infrastructure to support secure AI inference workloads while substantially reducing power consumption and operating costs compared with traditional GPU-based solutions. This launch demonstrates the industry's increasing shift toward cloud-based neural processors that improve AI deployment efficiency and accelerate the adoption of energy-efficient AI infrastructure.

In October 2025, NXP Semiconductors N.V., a Netherlands-based semiconductor manufacturing company, acquired Kinara Inc. for $307 million. Through this acquisition, NXP Semiconductors N.V. aimed to reinforce its edge artificial intelligence (AI) portfolio by integrating Kinara Inc.’s high-performance, energy-efficient discrete neural processing units (NPUs) and AI software, expanding its intelligent edge computing capabilities, accelerating AI-enabled solutions for automotive and industrial applications, and strengthening its processing, connectivity, and security platform for next-generation edge AI systems. Kinara Inc. is a US-based semiconductor company specializing in high-performance, programmable, and energy-efficient discrete neural processing units (NPUs) and AI software.

Major companies operating in the neural processor market are NVIDIA Corporation, Apple Inc., Alphabet Inc., Microsoft Corporation, Amazon.com Inc., Intel Corporation, Samsung Electronics Co. Ltd., QUALCOMM Incorporated, Advanced Micro Devices Inc., Alibaba Group Holding Limited, Tesla Inc., Sony Group Corporation, MediaTek Inc., Arm Holdings plc, Marvell Technology Inc., NXP Semiconductors N.V., Cerebras Systems Inc., Groq Inc., Tenstorrent Inc., Ambarella Inc., Himax Technologies Inc., SiFive Inc., CEVA Inc., BrainChip Holdings Ltd.

North America was the dominant region in the neural processor market in 2025. Asia-Pacific is expected to be the rapidly growing region in the forecast period. The regions covered in the neural processor market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the neural processor market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

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