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Neural Processing Units (NPUs) Market Trends and Growth Opportunities During 2026–2030

April 9, 2026 by Marketing Posting

The Business Research Company’s 2026 market reports include new capabilities such as market attractiveness scoring and analysis, total addressable market analysis, company scoring matrix, interactive excel data dashboard, improved supply chain analysis, upcoming startups in the market, and overview of key products, aimed at improving the depth, usability, and strategic value of the insights delivered.

How Much Is The Neural Processing Units (NPUs) Market Expected To Grow In Terms Of Market Value Between 2026 And 2030?

The market for neural processing units (NPU) has seen considerable expansion in recent years. Projections indicate this market will increase from $5.01 billion in 2025 to $6.25 billion in 2026, exhibiting a compound annual growth rate (CAGR) of 24.9%. The historical growth can be attributed to the rising integration of artificial intelligence (AI)-enabled devices, increasing demand for on-device neural computing, the broader deployment of edge artificial intelligence (AI) applications, an expanded use of deep learning workloads, and a continuous need for low-power, high-performance processors.

The market for neural processing units (NPUs) is projected to experience rapid expansion over the coming years, reaching a valuation of $15.06 billion by 2030, driven by a compound annual growth rate (CAGR) of 24.6%. This anticipated growth is fueled by several factors, including the increasing integration of neural processing units (NPUs) into smartphones and wearables, the wider uptake of autonomous and artificial intelligence (AI)-powered systems, a heightened need for real-time inference processing, the expanding implementation of intelligent edge infrastructure, and a stronger focus on energy-efficient artificial intelligence (AI) accelerators. Key trends anticipated during this period encompass 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 Primary Drivers Are Shaping The Development Of The Neural Processing Units (NPUs) Market?

Rising smartphone adoption is anticipated to fuel the expansion of the neural processing units (NPUs) market going forward. Smartphones are sophisticated mobile devices offering internet connectivity, application usage, and real-time communication capabilities. The surge in smartphone usage stems from the rapid growth of mobile internet connectivity, empowering consumers to access online platforms and shop globally at any time and from any location. This increased smartphone utilization enhances neural processing units (NPUs) by stimulating demand for quicker, more efficient on-device AI computation. It improves both performance and user experience by enabling real-time processing for tasks such as image recognition, natural language understanding, and augmented reality applications. For instance, according to Eurostat, the Luxembourg-based official statistical office of the European Union (EU), data from November 2024 revealed that in 2023, approximately 89% of EU residents aged 16–74 living in cities used their smartphones to access the internet. This compares to 86% in towns and suburbs and 82% in rural areas. Consequently, the increasing penetration of smartphones is a key driver for the growth of the neural processing units (NPUs) market.

What Major Segment Divisions Exist 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

How Are Trends Shaping The Direction Of The Neural Processing Units (NPUs) Market?

Leading companies in the neural processing units (NPUs) market are prioritizing the development of technologically 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 embedded directly into devices like smartphones, laptops, and IoT hardware to execute AI workloads locally, leading to faster, lower-power, and more private AI processing. For example, in October 2023, Qualcomm Technologies Inc., a US-based semiconductor company, unveiled the Snapdragon 8 Gen 3 mobile platform. This platform incorporates an upgraded Hexagon NPU that delivers up to 98% faster AI performance and approximately 40% better performance-per-watt compared to 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 extending high-efficiency neural processing capabilities into mainstream mobile and edge platforms, thus linking on-device intelligence with energy-optimized performance. It offers a scalable, efficient solution for providing responsive AI experiences while minimizing reliance on cloud infrastructure.

Who Are The Key Players Driving Competition In 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 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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