Selected research
Market Analysis & Forecast
Global Neural Network Processor (NPU) IP Market Analysis and Forecast 2026-2032
Market perspective
The global Neural Network Processor (NPU) IP market is projected to grow from US$ million in 2026 to US$ million by 2032, at a Compound Annual Growth Rate (CAGR) of % during the forecast period.
The North America market for Neural Network Processor (NPU) IP is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
Europe market for Neural Network Processor (NPU) IP is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
Read the full market overview
Asia-Pacific market for Neural Network Processor (NPU) IP is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
The China market for Neural Network Processor (NPU) IP is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
The major global companies of Neural Network Processor (NPU) IP include VeriSilicon, Synopsys, Kneron, BrainChip, Quadric and Cambricon, etc. In 2025, the world's top three vendors accounted for approximately % of the revenue.
Report Includes
This report presents an overview of global market for Neural Network Processor (NPU) IP, market size. Analyses of the global market trends, with historic market revenue data for 2021 - 2025, estimates for 2026, and projections of CAGR through 2032.
This report researches the key producers of Neural Network Processor (NPU) IP, also provides the revenue of main regions and countries. Of the upcoming market potential for Neural Network Processor (NPU) IP, and key regions or countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the Neural Network Processor (NPU) IP revenue, market share and industry ranking of main manufacturers, data from 2021 to 2026. Identification of the major stakeholders in the global Neural Network Processor (NPU) IP market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by Type and by Application, revenue, and growth rate, from 2021 to 2032. Evaluation and forecast the market size for Neural Network Processor (NPU) IP revenue, projected growth trends, production technology, application and end-user industry.
Neural Network Processor (NPU) IP Segment by Company
VeriSilicon
Synopsys
Kneron
BrainChip
Quadric
Cambricon
Neural Network Processor (NPU) IP Segment by Type
≤400Tops
>400Tops
Neural Network Processor (NPU) IP Segment by Application
Consumer Electronics
Vehicle Electronics
Computer
Industrial IoT
Other
Neural Network Processor (NPU) IP Segment by Region
North America
United States
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Spain
Netherlands
Switzerland
Sweden
Poland
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Middle East & Africa
Egypt
South Africa
Israel
Türkiye
GCC Countries
Study Objectives
1. To analyze and research the global status and future forecast, involving growth rate (CAGR), market share, historical and forecast.
2. To present the key players, revenue, market share, and Recent Developments.
3. To split the breakdown data by regions, type, manufacturers, and Application.
4. To analyze the global and key regions market potential and advantage, opportunity and challenge, restraints, and risks.
5. To identify significant trends, drivers, influence factors in global and regions.
6. To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
Reasons to Buy This Report
1. This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global Neural Network Processor (NPU) IP market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
2. This report will help stakeholders to understand the global industry status and trends of Neural Network Processor (NPU) IP and provides them with information on key market drivers, restraints, challenges, and opportunities.
3. This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in market size), competitor ecosystem, new product development, expansion, and acquisition.
4. This report stays updated with novel technology integration, features, and the latest developments in the market.
5. This report helps stakeholders to gain insights into which regions to target globally.
6. This report helps stakeholders to gain insights into the end-user perception concerning the adoption of Neural Network Processor (NPU) IP.
7. This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Revenue of Neural Network Processor (NPU) IP in global and regional level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 4: Detailed analysis of Neural Network Processor (NPU) IP company competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 5: Provides the analysis of various market segments by type, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 6: Provides the analysis of various market segments by application, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 7: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Neural Network Processor (NPU) IP revenue, gross margin, and recent development, etc.
Chapter 8: North America by type, by application and by country, revenue for each segment.
Chapter 9: Europe by type, by application and by country, revenue for each segment.
Chapter 10: China type, by application, revenue for each segment.
Chapter 11: Asia (excluding China) type, by application and by region, revenue for each segment.
Chapter 12: South America, Middle East and Africa by type, by application and by country, revenue for each segment.
Chapter 13: The main concluding insights of the report.
More report detail
Tables and figures
Scope & coverage.
Types
- ≤400Tops
- >400Tops
Applications
- Consumer Electronics
- Vehicle Electronics
- Computer
- Industrial IoT
- Other
Companies covered
- VeriSilicon
- Synopsys
- Kneron
- BrainChip
- Quadric
- Cambricon
Inside the report.
1 Market Overview
- 1.1 Product Definition
- 1.2 Neural Network Processor (NPU) IP Market by Type
- 1.2.1 Global Neural Network Processor (NPU) IP Market Size by Type, 2021 VS 2025 VS 2032
- 1.2.2 ≤400Tops
- 1.2.3 >400Tops
- 1.3 Neural Network Processor (NPU) IP Market by Application
- 1.3.1 Global Neural Network Processor (NPU) IP Market Size by Application, 2021 VS 2025 VS 2032
- 1.3.2 Consumer Electronics
- 1.3.3 Vehicle Electronics
- 1.3.4 Computer
- 1.3.5 Industrial IoT
- 1.3.6 Other
- 1.4 Assumptions and Limitations
- 1.5 Study Goals and Objectives
2 Neural Network Processor (NPU) IP Market Dynamics
- 2.1 Neural Network Processor (NPU) IP Industry Trends
- 2.2 Neural Network Processor (NPU) IP Industry Drivers
- 2.3 Neural Network Processor (NPU) IP Industry Opportunities and Challenges
- 2.4 Neural Network Processor (NPU) IP Industry Restraints
3 Global Growth Perspective
- 3.1 Global Neural Network Processor (NPU) IP Market Perspective (2021-2032)
- 3.2 Global Neural Network Processor (NPU) IP Growth Trends by Region
- 3.2.1 Global Neural Network Processor (NPU) IP Market Size by Region: 2021 VS 2025 VS 2032
- 3.2.2 Global Neural Network Processor (NPU) IP Market Size by Region (2021-2026)
- 3.2.3 Global Neural Network Processor (NPU) IP Market Size by Region (2027-2032)
4 Competitive Landscape by Players
- 4.1 Global Neural Network Processor (NPU) IP Revenue by Players
- 4.1.1 Global Neural Network Processor (NPU) IP Revenue by Players (2021-2026)
- 4.1.2 Global Neural Network Processor (NPU) IP Revenue Market Share by Players (2021-2026)
- 4.1.3 Global Neural Network Processor (NPU) IP Players Revenue Share Top 10 and Top 5 in 2025
- 4.2 Global Neural Network Processor (NPU) IP Key Players Ranking, 2024 VS 2025 VS 2026
- 4.3 Global Neural Network Processor (NPU) IP Key Players Headquarters & Area Served
- 4.4 Global Neural Network Processor (NPU) IP Players, Product Type & Application
- 4.5 Global Neural Network Processor (NPU) IP Players Establishment Date
- 4.6 Market Competitive Analysis
- 4.6.1 Global Neural Network Processor (NPU) IP Market CR5 and HHI
- 4.6.3 2025 Neural Network Processor (NPU) IP Tier 1, Tier 2, and Tier 3
5 Neural Network Processor (NPU) IP Market Size by Type
- 5.1 Global Neural Network Processor (NPU) IP Revenue by Type (2021 VS 2025 VS 2032)
- 5.2 Global Neural Network Processor (NPU) IP Revenue by Type (2021-2032)
- 5.3 Global Neural Network Processor (NPU) IP Revenue Market Share by Type (2021-2032)
6 Neural Network Processor (NPU) IP Market Size by Application
- 6.1 Global Neural Network Processor (NPU) IP Revenue by Application (2021 VS 2025 VS 2032)
- 6.2 Global Neural Network Processor (NPU) IP Revenue by Application (2021-2032)
- 6.3 Global Neural Network Processor (NPU) IP Revenue Market Share by Application (2021-2032)
7 Company Profiles
- 7.1 VeriSilicon
- 7.1.1 VeriSilicon Company Information
- 7.1.2 VeriSilicon Business Overview
- 7.1.3 VeriSilicon Neural Network Processor (NPU) IP Revenue and Gross Margin (2021-2026)
- 7.1.4 VeriSilicon Neural Network Processor (NPU) IP Product Portfolio
- 7.1.5 VeriSilicon Recent Developments
- 7.2 Synopsys
- 7.2.1 Synopsys Company Information
- 7.2.2 Synopsys Business Overview
- 7.2.3 Synopsys Neural Network Processor (NPU) IP Revenue and Gross Margin (2021-2026)
- 7.2.4 Synopsys Neural Network Processor (NPU) IP Product Portfolio
- 7.2.5 Synopsys Recent Developments
- 7.3 Kneron
- 7.3.1 Kneron Company Information
- 7.3.2 Kneron Business Overview
- 7.3.3 Kneron Neural Network Processor (NPU) IP Revenue and Gross Margin (2021-2026)
- 7.3.4 Kneron Neural Network Processor (NPU) IP Product Portfolio
- 7.3.5 Kneron Recent Developments
- 7.4 BrainChip
- 7.4.1 BrainChip Company Information
- 7.4.2 BrainChip Business Overview
- 7.4.3 BrainChip Neural Network Processor (NPU) IP Revenue and Gross Margin (2021-2026)
- 7.4.4 BrainChip Neural Network Processor (NPU) IP Product Portfolio
- 7.4.5 BrainChip Recent Developments
- 7.5 Quadric
- 7.5.1 Quadric Company Information
- 7.5.2 Quadric Business Overview
- 7.5.3 Quadric Neural Network Processor (NPU) IP Revenue and Gross Margin (2021-2026)
- 7.5.4 Quadric Neural Network Processor (NPU) IP Product Portfolio
- 7.5.5 Quadric Recent Developments
- 7.6 Cambricon
- 7.6.1 Cambricon Company Information
- 7.6.2 Cambricon Business Overview
- 7.6.3 Cambricon Neural Network Processor (NPU) IP Revenue and Gross Margin (2021-2026)
- 7.6.4 Cambricon Neural Network Processor (NPU) IP Product Portfolio
- 7.6.5 Cambricon Recent Developments
8 North America
- 8.1 North America Neural Network Processor (NPU) IP Revenue (2021-2032)
- 8.2 North America Neural Network Processor (NPU) IP Revenue by Type (2021-2032)
- 8.2.1 North America Neural Network Processor (NPU) IP Revenue by Type (2021-2026)
- 8.2.2 North America Neural Network Processor (NPU) IP Revenue by Type (2027-2032)
- 8.3 North America Neural Network Processor (NPU) IP Revenue Share by Type (2021-2032)
- 8.4 North America Neural Network Processor (NPU) IP Revenue by Application (2021-2032)
- 8.4.1 North America Neural Network Processor (NPU) IP Revenue by Application (2021-2026)
- 8.4.2 North America Neural Network Processor (NPU) IP Revenue by Application (2027-2032)
- 8.5 North America Neural Network Processor (NPU) IP Revenue Share by Application (2021-2032)
- 8.6 North America Neural Network Processor (NPU) IP Revenue by Country
- 8.6.1 North America Neural Network Processor (NPU) IP Revenue by Country (2021 VS 2025 VS 2032)
- 8.6.2 North America Neural Network Processor (NPU) IP Revenue by Country (2021-2026)
- 8.6.3 North America Neural Network Processor (NPU) IP Revenue by Country (2027-2032)
- 8.6.4 United States
- 8.6.5 Canada
- 8.6.6 Mexico
9 Europe
- 9.1 Europe Neural Network Processor (NPU) IP Revenue (2021-2032)
- 9.2 Europe Neural Network Processor (NPU) IP Revenue by Type (2021-2032)
- 9.2.1 Europe Neural Network Processor (NPU) IP Revenue by Type (2021-2026)
- 9.2.2 Europe Neural Network Processor (NPU) IP Revenue by Type (2027-2032)
- 9.3 Europe Neural Network Processor (NPU) IP Revenue Share by Type (2021-2032)
- 9.4 Europe Neural Network Processor (NPU) IP Revenue by Application (2021-2032)
- 9.4.1 Europe Neural Network Processor (NPU) IP Revenue by Application (2021-2026)
- 9.4.2 Europe Neural Network Processor (NPU) IP Revenue by Application (2027-2032)
- 9.5 Europe Neural Network Processor (NPU) IP Revenue Share by Application (2021-2032)
- 9.6 Europe Neural Network Processor (NPU) IP Revenue by Country
- 9.6.1 Europe Neural Network Processor (NPU) IP Revenue by Country (2021 VS 2025 VS 2032)
- 9.6.2 Europe Neural Network Processor (NPU) IP Revenue by Country (2021-2026)
- 9.6.3 Europe Neural Network Processor (NPU) IP Revenue by Country (2027-2032)
- 9.6.4 Germany
- 9.6.5 France
- 9.6.6 U.K.
- 9.6.7 Italy
- 9.6.8 Russia
- 9.6.9 Spain
- 9.6.10 Netherlands
- 9.6.11 Switzerland
- 9.6.12 Sweden
- 9.6.13 Poland
10 China
- 10.1 China Neural Network Processor (NPU) IP Revenue (2021-2032)
- 10.2 China Neural Network Processor (NPU) IP Revenue by Type (2021-2032)
- 10.2.1 China Neural Network Processor (NPU) IP Revenue by Type (2021-2026)
- 10.2.2 China Neural Network Processor (NPU) IP Revenue by Type (2027-2032)
- 10.3 China Neural Network Processor (NPU) IP Revenue Share by Type (2021-2032)
- 10.4 China Neural Network Processor (NPU) IP Revenue by Application (2021-2032)
- 10.4.1 China Neural Network Processor (NPU) IP Revenue by Application (2021-2026)
- 10.4.2 China Neural Network Processor (NPU) IP Revenue by Application (2027-2032)
- 10.5 China Neural Network Processor (NPU) IP Revenue Share by Application (2021-2032)
11 Asia (Excluding China)
- 11.1 Asia Neural Network Processor (NPU) IP Revenue (2021-2032)
- 11.2 Asia Neural Network Processor (NPU) IP Revenue by Type (2021-2032)
- 11.2.1 Asia Neural Network Processor (NPU) IP Revenue by Type (2021-2026)
- 11.2.2 Asia Neural Network Processor (NPU) IP Revenue by Type (2027-2032)
- 11.3 Asia Neural Network Processor (NPU) IP Revenue Share by Type (2021-2032)
- 11.4 Asia Neural Network Processor (NPU) IP Revenue by Application (2021-2032)
- 11.4.1 Asia Neural Network Processor (NPU) IP Revenue by Application (2021-2026)
- 11.4.2 Asia Neural Network Processor (NPU) IP Revenue by Application (2027-2032)
- 11.5 Asia Neural Network Processor (NPU) IP Revenue Share by Application (2021-2032)
- 11.6 Asia Neural Network Processor (NPU) IP Revenue by Country
- 11.6.1 Asia Neural Network Processor (NPU) IP Revenue by Country (2021 VS 2025 VS 2032)
- 11.6.2 Asia Neural Network Processor (NPU) IP Revenue by Country (2021-2026)
- 11.6.3 Asia Neural Network Processor (NPU) IP Revenue by Country (2027-2032)
- 11.6.4 Japan
- 11.6.5 South Korea
- 11.6.6 India
- 11.6.7 Australia
- 11.6.8 Taiwan
- 11.6.9 Southeast Asia
12 South America, Middle East and Africa
- 12.1 SAMEA Neural Network Processor (NPU) IP Revenue (2021-2032)
- 12.2 SAMEA Neural Network Processor (NPU) IP Revenue by Type (2021-2032)
- 12.2.1 SAMEA Neural Network Processor (NPU) IP Revenue by Type (2021-2026)
- 12.2.2 SAMEA Neural Network Processor (NPU) IP Revenue by Type (2027-2032)
- 12.3 SAMEA Neural Network Processor (NPU) IP Revenue Share by Type (2021-2032)
- 12.4 SAMEA Neural Network Processor (NPU) IP Revenue by Application (2021-2032)
- 12.4.1 SAMEA Neural Network Processor (NPU) IP Revenue by Application (2021-2026)
- 12.4.2 SAMEA Neural Network Processor (NPU) IP Revenue by Application (2027-2032)
- 12.5 SAMEA Neural Network Processor (NPU) IP Revenue Share by Application (2021-2032)
- 12.6 SAMEA Neural Network Processor (NPU) IP Revenue by Country
- 12.6.1 SAMEA Neural Network Processor (NPU) IP Revenue by Country (2021 VS 2025 VS 2032)
- 12.6.2 SAMEA Neural Network Processor (NPU) IP Revenue by Country (2021-2026)
- 12.6.3 SAMEA Neural Network Processor (NPU) IP Revenue by Country (2027-2032)
- 12.6.4 Brazil
- 12.6.5 Argentina
- 12.6.6 Chile
- 12.6.7 Colombia
- 12.6.8 Peru
- 12.6.9 Saudi Arabia
- 12.6.10 Israel
- 12.6.11 UAE
- 12.6.12 Turkey
- 12.6.13 Iran
- 12.6.14 Egypt
13 Concluding Insights
14 Appendix
- 14.1 Reasons for Doing This Study
- 14.2 Research Methodology
- 14.3 Research Process
- 14.4 Authors List of This Report
- 14.5 Data Source
- 14.5.1 Secondary Sources
- 14.5.2 Primary Sources
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