Neural Processing Units (NPUs) Market Anticipated to Record Steady Gains, Advancing to $15.05 Billion by 2030

Global Neural Processing Units (NPUs) Market

Uncover key drivers, emerging technologies, and competitive movements shaping the neural processing units (npus) market from 2026–2035 with trusted insights from The Business Research Company

What level of CAGR-driven expansion is anticipated in the Neural Processing Units (NPUs) Market between 2026 and 2030?

The neural processing unit (NPU) market size has demonstrated significant growth in recent years. It will grow from $5.01 billion in 2025 to $6.25 billion in 2026 at a compound annual growth rate (CAGR) of 24.9%. The market’s past expansion is a result of the rising integration of artificial intelligence (AI)-enabled devices, increasing demand for on-device neural computing capabilities, wider deployment of edge artificial intelligence (AI) applications, greater utilization of deep learning workloads, and the growing need for low-power, high-performance processors.

The neural processing unit (NPU) market is projected to experience substantial growth over the coming years. It is forecast to reach $15.06 billion in 2030, demonstrating a compound annual growth rate (CAGR) of 24.6%. This expansion during the projection period stems from factors such as the increasing integration of neural processing units (NPUs) into smartphones and wearables, the wider uptake of autonomous and artificial intelligence (AI)-powered systems, the heightened need for real-time inference processing, the broader implementation of intelligent edge infrastructure, and a stronger focus on energy-efficient artificial intelligence (AI) accelerators. Key trends anticipated during the forecast span include technological progress in heterogeneous artificial intelligence (AI) architectures, breakthroughs in low-power neural acceleration, advancements in chiplet-based neural processing unit (NPU) designs, ongoing research and development in sophisticated artificial intelligence (AI) model optimization, and progress in on-device learning and federated artificial intelligence (AI) systems.

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What Drivers Are Affecting Demand-Supply Dynamics In The Neural Processing Units (NPUs) Market?

The rising use of smartphones is anticipated to stimulate the expansion of the neural processing units (NPUs) market moving forward. Smartphones are defined as advanced mobile devices that offer internet connectivity, application functionality, and live communication. The increase in smartphone utilization is attributed to the rapid proliferation of mobile internet connectivity, which allows consumers to access online platforms and shop globally at any time and from any location. Smartphone usage enhances neural processing units (NPUs) by generating demand for quicker, more efficient on-device AI computation. This improves performance and user experience by enabling real-time processing for tasks such as image recognition, natural language understanding, and augmented reality applications. For instance, in November 2024, data from Eurostat, the official statistical office of the European Union (EU) based in Luxembourg, showed that roughly 89% of EU residents aged 16–74 in cities used their smartphones to access the internet in 2023, compared with 86% in towns and suburbs and 82% in rural areas. Consequently, the increasing penetration of smartphones is fueling the growth of the neural processing units (NPUs) market.

What Segments Are Included Within The Neural Processing Units (NPUs) Market?

The neural processing units (npus) market covered in this report is segmented –

1) By Type: Standalone Neural Processing Units (NPUs), Integrated Neural Processing Units (NPUs)

2) By Technology: Deep Learning, Machine Learning, Natural Language Processing, Other Technologies

3) By Form Factor: Embedded Neural Processing Units (NPUs), Discrete Neural Processing Units (NPUs), Cloud-based Neural Processing Units (NPUs)

4) By Application: Natural Language Processing, Computer Vision, Robotics, Autonomous Vehicles, Healthcare and Diagnostics

5) By End-User: Consumer Electronics, Automotive, Healthcare, Information Technology (IT) and Telecommunications, Other End-Users

Subsegments:

1) By Standalone Neural Processing Units (NPUs): High Performance Neural Compute Modules, Dedicated Artificial Intelligence Acceleration Units, Edge Deployment Processing Systems, Independent Neural Inference Engines, Customizable Artificial Intelligence Hardware Platforms

2) By Integrated Neural Processing Units (NPUs): System on Chip Embedded Neural Modules, Processor Integrated Artificial Intelligence Cores, Mobile Device Neural Acceleration Units, Multi Function Computing Chipsets, Hybrid Processing and Neural Optimization Engines

What Upcoming Trends Are Likely To Define The Future Path Of The Neural Processing Units (NPUs) Market?

Leading companies within the neural processing units (NPUs) market are concentrating on developing advanced products, such as on-device NPUs, to enable real-time artificial intelligence processing directly on end-user devices. On-device NPUs refer to neural processing units integrated directly into hardware like smartphones, laptops, and IoT devices to execute AI workloads locally, resulting in faster, lower-power, and more private AI operations. For instance, in October 2023, Qualcomm Technologies Inc., a US-based semiconductor company, unveiled the Snapdragon 8 Gen 3 mobile platform. This platform features an upgraded Hexagon NPU, delivering up to 98% faster AI performance and around 40% better performance-per-watt compared to its predecessor, and it supports on-device generative AI and advanced camera AI pipelines for real-time inference. This launch represents a significant technological stride by extending high-efficiency neural processing capabilities to mainstream mobile and edge platforms, effectively merging on-device intelligence with energy-optimized performance. It provides a scalable, efficient solution for delivering responsive AI experiences while reducing dependence on cloud infrastructure.

Who Are The Prominent Global Companies Shaping The Neural Processing Units (NPUs) Market Landscape?

Major companies operating in the neural processing units (npus) market are Amazon.com Inc., Apple Inc., Google LLC, Samsung Electronics Co. Ltd., Huawei Technologies Co. Ltd., NVIDIA Corporation, Intel Corporation, Qualcomm Incorporated, Advanced Micro Devices Inc., Baidu Inc., MediaTek Inc., Synopsys Inc., Cadence Design Systems Inc., Arm Ltd., VeriSilicon Holdings Co. Ltd., BrainChip Holdings Ltd., Cambricon Technologies Corporation, Cerebras Systems Inc., Mythic Inc., SiMa.ai Inc., Kneron Inc., Syntiant Corp., Horizon Robotics Inc., Graphcore Ltd., Blaize Inc.

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Which Geographic Areas Are Emerging As Strong Markets For The Neural Processing Units (NPUs) Market?

North America was the largest region in the neural processing unit (NPU) market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the neural processing units (npus) market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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