The Business Research Company’s 2026 market reports feature enhanced tools like market attractiveness analysis, TAM assessment, and company scoring matrices, along with interactive dashboards, deeper supply chain insights, and startup coverage strengthening the depth, usability, and strategic value of insights.
How Does The Market Size Of The Neural Processing Units (NPUs) Market Compare Between 2026 And 2030?
The neural processing unit (NPU) market has observed an exponential expansion in its size over recent years. It is anticipated to grow from $5.01 billion in 2025 to $6.25 billion in 2026, achieving a compound annual growth rate (CAGR) of 24.9%. This historical growth can be attributed to the rising adoption of artificial intelligence (AI)-enabled devices, the increasing demand for on-device neural computing, the expanding deployment of edge artificial intelligence (AI) applications, the broader use of deep learning workloads, and the heightened requirement for low-power, high-performance processors.
The neural processing unit (NPU) market is anticipated to experience substantial expansion over the next few years. It is projected to achieve a size of $15.06 billion by 2030, growing at a compound annual growth rate (CAGR) of 24.6%. This expected growth can be attributed to the increasing integration of neural processing units (NPUs) into smartphones and wearables, the rising adoption of autonomous and artificial intelligence (AI)-driven systems, a greater demand for real-time inference processing, the broadening deployment of intelligent edge infrastructure, and a growing emphasis on energy-efficient artificial intelligence (AI) accelerators. Significant trends during the forecast period encompass technological advancements in heterogeneous artificial intelligence (AI) architectures, innovations in low-power neural acceleration, progress in chiplet-based neural processing unit (NPU) designs, extensive research and development in advanced artificial intelligence (AI) model optimization, and improvements in on-device learning and federated artificial intelligence (AI) systems.
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What Leading Drivers Are Supporting The Neural Processing Units (NPUs) Market Expansion?
The expanding use of smartphones is anticipated to stimulate the growth of the neural processing units (NPUs) market moving forward. Smartphones are defined as sophisticated mobile devices that offer internet connectivity, application functionality, and live communication capabilities. The surge in smartphone adoption is attributed to the swift growth of mobile internet access, which enables users to engage with online platforms and shop internationally at any time and location. This increased smartphone utilization boosts neural processing units (NPUs) by stimulating the need for quicker, more efficient AI computations directly on devices. It enhances performance and improves user experience by facilitating real-time processing for functions such as image recognition, natural language comprehension, and augmented reality applications. For instance, Eurostat, the European Union’s official statistical office based in Luxembourg, reported in November 2024 that approximately 89% of EU residents aged 16–74 residing in urban areas utilized their smartphones for internet access in 2023. This figure compares to 86% in towns and suburbs and 82% in rural regions. Consequently, the growing prevalence of smartphones is propelling the expansion of the neural processing units (NPUs) market.
How Are Segments Identified Within The Neural Processing Units (NPUs) Market Segment Framework?
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 Emerging Trends Are Seen In The Neural Processing Units (NPUs) Market?
Leading companies in 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 devices. On-device NPUs refer to neural processing units integrated straight into gadgets like smartphones, laptops, and IoT hardware to execute AI workloads locally, allowing for quicker, more power-efficient, and more private AI processing. For instance, in October 2023, Qualcomm Technologies Inc., a US-based semiconductor company, introduced the Snapdragon 8 Gen 3 mobile platform, which features an upgraded Hexagon NPU delivering up to 98% faster AI performance and approximately 40% better performance-per-watt compared to its predecessor, and the platform facilitates on-device generative AI and advanced camera AI pipelines for real-time inference. This launch signifies a considerable technological stride by bringing high-efficiency neural processing to mainstream mobile and edge platforms, linking on-device intelligence with energy-optimized performance. It presents a scalable, efficient solution for providing responsive AI experiences while lessening the dependency on cloud infrastructure.
Who Are The Companies Competing Within The Neural Processing Units (NPUs) Market?
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 Region Has The Greatest Market Share In 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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