Tag: neural processing units (npus) market growth

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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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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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.

Read the full neural processing units (npus) market report here:

https://www.thebusinessresearchcompany.com/report/neural-processing-units-npus-market-report

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.

Request A Tailored Neural Processing Units (NPUs) Market Research Report For Competitive Advantage:

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Browse Through More Reports Similar to the Global Neural Processing Units (NPUs) Market 2026, By The Business Research Company

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https://www.thebusinessresearchcompany.com/report/vision-processing-unit-global-market-report

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https://www.thebusinessresearchcompany.com/report/neural-network-software-global-market-report

neuronavigation systems global market report

https://www.thebusinessresearchcompany.com/report/neuronavigation-systems-global-market-report

Get in touch with us:

The Business Research Company: https://www.thebusinessresearchcompany.com/

Americas +1 310-496-7795

Asia +44 7882 955267 & +91 8897263534

Europe +44 7882 955267

Email us at info@tbrc.info

Follow us on:

LinkedIn: https://in.linkedin.com/company/the-business-research-company

YouTube: https://www.youtube.com/channel/UC24_fI0rV8cR5DxlCpgmyFQ

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