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Neural Processing Units (NPUs) Market Growth From $6.25 Billion In 2026 To $15.06 Billion By 2030 At A CAGR Of 24.6%
The neural processing unit (NPU) market has experienced rapid expansion over recent years. It is projected to grow from $5.01 billion in 2025 to $6.25 billion in 2026 at a compound annual growth rate (CAGR) of 24.9%. This historical increase stems from factors such as the increasing adoption of artificial intelligence (AI)-enabled devices, growing demand for on-device neural computing, rising deployment of edge artificial intelligence (AI) applications, expanding use of deep learning workloads, and an increasing requirement for low-power, high-performance processors.
The neural processing unit (NPU) market is anticipated to experience significant growth in the upcoming years, with projections indicating it will reach $15.06 billion by 2030, expanding at a compound annual growth rate (CAGR) of 24.6%. This expected expansion during the forecast period is attributed to several factors, including the increasing integration of neural processing units (NPUs) in smartphones and wearables, the growing adoption of autonomous and artificial intelligence (AI)-driven systems, a heightened demand for real-time inference processing, the expanding deployment of intelligent edge infrastructure, and a rising emphasis on energy-efficient artificial intelligence (AI) accelerators. Key trends identified for this period encompass technological advancements in heterogeneous artificial intelligence (AI) architectures, innovations in low-power neural acceleration, developments in chiplet-based neural processing unit (NPU) designs, ongoing research and development in advanced artificial intelligence (AI) model optimization, and progress in on-device learning and federated artificial intelligence (AI) systems.
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Neural Processing Units (NPUs) Market Growth Factors: What’s Supporting Expansion?
The increasing adoption of smartphones is anticipated to drive the neural processing units (NPUs) market forward. Smartphones, which are advanced mobile devices providing internet connectivity, app usage, and real-time communication, are experiencing increased usage primarily due to the rapid expansion of mobile internet connectivity, enabling consumers to access online platforms and shop globally anytime, anywhere. This utilization of smartphones enhances neural processing units (NPUs) by increasing the need for faster, more efficient on-device AI computation. It improves device performance and user experience by facilitating real-time processing for functions such as image recognition, natural language understanding, and augmented reality applications. For example, in November 2024, data from Eurostat, the Luxembourg-based official statistical office of the European Union (EU), indicated that around 89% of EU residents aged 16–74 living 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 expanding penetration of smartphones is fueling the growth of the neural processing units (NPUs) market.
Neural Processing Units (NPUs) Market Segments: Where Is Growth Concentrated?
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
Neural Processing Units (NPUs) Market Industry Trends: What’s Reshaping Demand?
Companies operating within the neural processing units (NPUs) market are concentrating on developing advanced products, such as on-device NPUs, to facilitate real-time AI processing directly on end-user devices. On-device NPUs refer to neural processing units integrated directly into hardware like smartphones, laptops, and IoT devices, enabling local execution of artificial intelligence workloads for faster, lower-power, and more private AI processing. As an illustration, in October 2023, Qualcomm Technologies Inc., a US-based semiconductor firm, launched its 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 than its predecessor, and it exposes on-device generative AI and advanced camera AI pipelines for real-time inference. This launch represents a significant technological advancement by bringing high-efficiency neural processing to mainstream mobile and edge platforms, effectively merging on-device intelligence with energy-optimized performance. It offers a scalable, efficient solution for providing responsive AI experiences while minimizing reliance on cloud infrastructure.
Neural Processing Units (NPUs) Market Competitive Landscape: Who Leads The Industry?
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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Neural Processing Units (NPUs) Market Geographic Landscape: Which Region Leads Industry Growth?
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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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
