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Neural Network Processor (NPU) Intellectual Property (IP) Market Forecast: Value Set To Climb From $36.05 Billion To $69.19 Billion
The neural network processor (npu) intellectual property (ip) market has experienced significant growth in recent years. Its value is expected to rise from $30.51 billion in 2025 to $36.05 billion in 2026, achieving a compound annual growth rate (CAGR) of 18.1%. This historical expansion can be attributed to several factors, including the increasing integration of AI into electronic devices, a surging demand for on-device AI processing, the expanding adoption of SoC-based computing architectures, a growing need for efficient neural network inference, and the broader implementation of AI capabilities across embedded devices.
The neural network processor (npu) intellectual property (ip) market is anticipated to observe substantial growth over the next few years. It is projected to expand to $69.19 billion in 2030, achieving a compound annual growth rate (CAGR) of 17.7%. This expansion during the forecast period is fueled by an escalating demand for superior neural processing performance, the increasing necessity for energy-efficient AI acceleration, a rising need for scalable NPU IP designs, the broader adoption of sophisticated semiconductor architectures, and an expanding requirement for versatile AI processing across diverse SoC platforms. Prominent trends throughout this period include an increased demand for reusable NPU IP blocks, a growing adoption of configurable neural processing architectures, an amplified focus on optimized matrix multiplication acceleration, a greater emphasis on reducing silicon area requirements, and an increasing need for low-power neural network processing.
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Neural Network Processor (NPU) Intellectual Property (IP) Market Demand Drivers Opening New Revenue Streams
The rising capital directed towards autonomous vehicles is anticipated to drive the expansion of the neural network processor (NPU) intellectual property (IP) market in the coming period. This funding specifically targets the development, production, and deployment of self-driving technologies, aiming to improve autonomous mobility, safety, and the overall efficiency of transportation. The surge in these investments is attributed to breakthroughs in artificial intelligence and sensor technologies, which enable the creation of safer and more reliable autonomous driving systems and accelerate their commercial progression and implementation. Consequently, these escalating investments in autonomous vehicles consistently stimulate the demand for neural network processor intellectual property, as automotive chip developers require sophisticated artificial intelligence processing architectures to facilitate real-time perception, sensor fusion, and advanced autonomous driving capabilities. For instance, in May 2024, the UK government indicated that British autonomous driving company Wayve secured more than $1.05 billion in investment to develop the next generation of artificial intelligence-powered self-driving vehicles, which was noted as the largest investment ever raised by a United Kingdom artificial intelligence company at that time. Thus, the increasing investments in autonomous vehicles are demonstrably fostering the growth of the neural network processor (NPU) intellectual property (IP) market.
Neural Network Processor (NPU) Intellectual Property (IP) Market Segment Analysis Spotlighting Growth Areas
The neural network processor (npu) intellectual property (ip) market covered in this report is segmented –
1) By Type: Soft Neural Processing Unit Intellectual Property, Hard Neural Processing Unit Intellectual Property
2) By Performance Level: Low Power Neural Processing Unit, Mid Range Neural Processing Unit, High Performance Neural Processing Unit
3) By Technology Node: 7 Nanometer And Below, 10 Nanometer To 14 Nanometer, 16 Nanometer To 28 Nanometer, Above 28 Nanometers
4) By Sales Channel: Direct Sales, Distributors, Value Added Resellers, Online Sales, Other Sales Channels
5) By Application: Smartphones And Consumer Electronics, Automotive, Data Centers, Internet Of Things Devices, Industrial Automation, Healthcare, Robotics, Smart Cameras And Surveillance, Other Applications
Subsegments:
1) By Soft Neural Processing Unit Intellectual Property: Register Transfer Level Based Intellectual Property, Synthesizable Intellectual Property, Configurable Intellectual Property
2) By Hard Neural Processing Unit Intellectual Property: Standard Cell Based Intellectual Property, Fully Integrated Physical Intellectual Property, Custom Layout Based Intellectual Property
Neural Network Processor (NPU) Intellectual Property (IP) Market Trends Powering Strategic Industry Growth
Leading firms within the neural network processor (NPU) intellectual property (IP) market are prioritizing the creation of sophisticated offerings, specifically edge AI neural processing unit (NPU) intellectual property (IP). This focus aims to boost artificial intelligence inference performance, optimize power efficiency, and speed up the implementation of intelligent Internet of Things (IoT) devices. Edge AI NPU IP represents licensable hardware accelerator designs, empowering semiconductor producers to incorporate high-performance AI inference functionalities into system-on-chip (SoC) designs tailored for edge computing uses. As an illustration, in April 2024, Arm Ltd., a UK-based semiconductor intellectual property company, unveiled its Ethos-U85 NPU and the Corstone-320 IoT Reference Design Platform. The Ethos-U85 offers as much as four times higher AI performance and enhanced power efficiency compared to its previous version, all while accommodating transformer and convolutional neural network workloads. Integrated with the Corstone-320 platform, it facilitates quicker development of edge AI systems for vision, voice, and industrial IoT applications by leveraging optimized hardware, software, and virtual development tools.
Neural Network Processor (NPU) Intellectual Property (IP) Market Industry Leaders And Competitive Landscape
Major companies operating in the neural network processor (npu) intellectual property (ip) market are Synopsys Inc., Arm Holdings plc, Cadence Design Systems Inc., Tenstorrent Inc., VeriSilicon Holdings Co. Ltd., CEVA Inc., Imagination Technologies Group plc, SiFive Inc., Arteris Inc., Andes Technology Corporation, Chips&Media Inc., Expedera Inc., BrainChip Holdings Ltd., Quadric Inc., SiliconArts Inc., Semidynamics Technology Services S.L., Akeana Inc., InCore Semiconductors Pvt. Ltd., Ainekko Inc.
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Neural Network Processor (NPU) Intellectual Property (IP) Market Regional Analysis And Leading Geography
Asia-Pacific was the largest region in the neural network processor (NPU) intellectual property (IP) market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the neural network processor (npu) intellectual property (ip) 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.