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Global Generative AI for Chip Design Market Outlook, In‑Depth Analysis & Forecast to 2031

Published Date: 2025-09-26   |   Pages: 151   |   Tables: 149   |  New Technology

The global Generative AI for Chip Design market is projected to grow from US$ million in 2024 to US$ million by 2031, at a CAGR of %(2025-2031), driven by critical product segments and diverse end‑use applications.
Generative AI for chip design refers to the use of generative AI technology to assist or automatically complete various tasks in the chip design process, including but not limited to code generation, design optimization, verification testing, and knowledge extraction. For example, it can automatically generate hardware description language (HDL) code that meets specifications based on the designer's instructions or preliminary design; by analyzing various aspects of chip design (such as power consumption, performance, area, etc.), generative AI can make optimization suggestions to help designers find the best design solution; it can automatically generate test cases and verification plans to conduct comprehensive and accurate verification tests on chip designs; it can extract useful knowledge from a large amount of design data, such as best practices, common problems and solutions, to provide decision support for designers.
From a downstream perspective, Automotive accounted for % of 2024 revenue, surging to US$ million by 2031 (CAGR: % from 2025–2031).
Generative AI for Chip Design leading manufacturers including Microsoft Corporation, Amazon Web Services, Intel Corporation, Qualcomm Incorporated, NVIDIA Corporation, Advanced Micro Devices, Texas Instruments Incorporated, MediaTek, Renesas Electronics Corporation, Synopsys, etc., dominate supply; the top five capture approximately % of global revenue, with Microsoft Corporation leading 2024 sales at US$ million.
Regional Outlook:
North America rose from US$ million in 2024 to a forecast US$ million by 2031 (CAGR %).
Asia‑Pacific will expand from US$ million to US$ million (CAGR  %), led by China (US$ million in 2024, % share rising to % by 2031), Japan (CAGR %), South Korea (CAGR %), and Southeast Asia (CAGR %).
Europe is set to grow from US$ million to US$ million (CAGR %), with Germany projected to hit US$ million by 2031 (CAGR %).
Report Includes:
This definitive report equips CEOs, marketing directors, and investors with a 360° view of the global Generative AI for Chip Design market across value chain. It analyzes historical revenue data (2020–2024) and delivers forecasts through 2031, illuminating demand trends and growth drivers.
By segmenting the market by Type and by Application, the study quantifies market size, growth rates, niche opportunities, and substitution risks, and analyzes downstream customers distribution pattern.
Granular regional insights cover five major markets—North America, Europe, APAC, South America, and MEA—with in‑depth analysis of 20+ countries, detailing dominant products, competitive landscape, and downstream demand trends.
Critical competitive intelligence profiles players—revenue, margins, pricing strategies, and major customers—and dissects the top-player positioning across product lines, applications, and regions to reveal strategic strengths.
A concise Industry‑chain overview maps upstream, middlestream, and downstream distribution dynamics to identify strategic gaps and unmet demand.
Market Segmentation
By Company
Microsoft Corporation
Amazon Web Services
Intel Corporation
Qualcomm Incorporated
NVIDIA Corporation
Advanced Micro Devices
Texas Instruments Incorporated
MediaTek
Renesas Electronics Corporation
Synopsys
Marvell Technology
Cadence Design Systems
Altair Engineering
Tenstorrent
Silvaco Group
Cerebras Systems
Graphcore Limited
SambaNova Systems
Mythic AI
Syntiant
Segment by Type
Logic Chip
Analog Chip
Others
Segment by Application
Automotive
Communications
Consumer Electronics
Industrial
Others
Sales by Region
North America
United States
Canada
Mexico
Asia-Pacific
China
Japan
South Korea
India
Australia
Vietnam
Indonesia
Malaysia
Philippines
Singapore
Rest of Asia
Europe
Germany
U.K.
France
Italy
Spain
Benelux
Russia
Rest of Europe
Central and South America
Brazil
Argentina
Rest of South America
Middle East & Africa
GCC Countries
Egypt
Israel
South Africa
Rest of MEA
Chapter Outline
Chapter 1: Defines the Generative AI for Chip Design study scope, segments the market by Type and by Application, etc, highlights segment size and growth potential.
Chapter 2: Offers current market state, projects global revenue and sales to 2031, pinpointing high consumption regions and emerging market catalysts
Chapter 3: Dissects the player landscape—ranks by revenue and profitability, details Player performance by product type and evaluates concentration alongside M&A moves.
Chapter 4: Unlocks high margin product segments—compares revenue, ASP, and technology differentiators, highlighting growth niches and substitution risks
Chapter 5: Targets downstream market opportunities—evaluates market size by Application, identifies emerging use cases, and profiles leading customers by region and by Application.
Chapter 6: North America—breaks down market size by Type, by Application and country, profiles key players and assesses growth drivers and barriers.
Chapter 7: Europe—analyses regional market by Type, by Application and players, flagging drivers and barriers.
Chapter 8: Asia Pacific—quantifies market size by Type, by Application, and region/country, profiles top players, and uncovers high potential expansion areas.
Chapter 9: Central & South America—measures market size by Type, by Application, and country, profiles top players, and identifies investment opportunities and challenges.
Chapter 10: Middle East and Africa—evaluates market size by Type, by Application, and country, profiles key players, and outlines investment prospects and market hurdles
Chapter 11: Profiles players in depth—details product specs, revenue, margins; Top-tier players 2024 sales breakdowns by Product type, by Application, by region SWOT analysis, and recent strategic developments.
Chapter 12: Industry chain—analyses upstream, cost drivers, plus downstream channels.
Chapter 13: Market dynamics—explores drivers, restraints, regulatory impacts, and risk mitigation strategies.
Chapter 14: Actionable conclusions and strategic recommendations.
Why This Report:
Beyond standard market data, this analysis provides a clear profitability roadmap—empowering you to:
Allocate capital strategically to high growth regions (Chapters 6–10) and margin rich segments (Chapter 5).
Negotiate from strength with suppliers (Chapter 12) and customers (Chapter 5) using cost and demand intelligence.
Outmaneuver competitors with granular insights into their operations, margins, and strategies (Chapters 3 and 11).
Capitalize on the projected billion‑dollar opportunity with data‑driven regional and segment tactics (Chapter 12-14).
Leverage this 360° intelligence to turn market complexity into actionable competitive advantage.

Research Methodology

The research methodology employed has been subjected by numerous procedures in order to guarantee the quality and accuracy of the data contained within the reports. The analysts are employed full-time and received more than six months training to satisfy the standard of our company. Our methodology can be divided into five stages:


Stage 1 SECONDARY RESEARCH

The research team first collaborates with magazines, trade associations and administrative departments in the research field. The information provided by our internal documentation service is helpful for our further research. Our team has a wealth of experience and knowledge, and can effectively extract accurate information from existing resources.

 

Stage 2 PRIMARY RESEARCH:INTERVIEWS WITH TRADE SOURCES

After the first stage, the research team conducts a large number of face-to-face or telephone interviews with representative companies working in the research field. Analysts are trying to have an opportunity to talk to leading companies and small companies in the field. Upstream suppliers, manufacturers, distributors, importers, installers, wholesalers and consumers were included in the interview. The data collected during the interview were then carefully examined and compared with the secondary study.

 

Stage 3 ANALYSIS OF THE GATHERED DATA

The analysis team examines and synthesizes the data collected in the first two stages. In order to validate the data, a second round of interviews can be conducted.

 

Stage 4 QUANTITATIVE DATA

The quantitative data such as market estimates, production and capacity of manufacturer, market forecasts and investment feasibility is provided by our company. The data is based on the estimates obtained during stage 3.

 

Stage 5 QUALITY CONTROL

Before publishing, each report undergoes a rigorous review and editing process, which is done by the experience management team to ensure the reliability of the published data. Every analyst on the research team receives support and continuous training as part of our internal quality process.

 

1 Study Coverage
1.1 Introduction to Generative AI for Chip Design: Definition, Properties, and Key Attributes
1.2 Market Segmentation by Type
1.2.1 Global Generative AI for Chip Design Market Size by Type, 2020 VS 2024 VS 2031
1.2.2 Logic Chip
1.2.3 Analog Chip
1.2.4 Others
1.3 Market Segmentation by Application
1.3.1 Global Generative AI for Chip Design Market Size by Application, 2020 VS 2024 VS 2031
1.3.2 Automotive
1.3.3 Communications
1.3.4 Consumer Electronics
1.3.5 Industrial
1.3.6 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Executive Summary
2.1 Global Generative AI for Chip Design Revenue Estimates and Forecasts 2020-2031
2.2 Global Generative AI for Chip Design Revenue by Region
2.2.1 Revenue Comparison: 2020 VS 2024 VS 2031
2.2.2 Historical and Forecasted Revenue by Region (2020-2031)
2.2.3 Global Revenue Market Share by Region (2020-2031)
2.2.4 Emerging Market Focus: Growth Drivers & Investment Trends
3 Competition by Players
3.1 Global Generative AI for Chip Design Player Revenue Rankings and Profitability
3.1.1 Global Revenue (Value) by Players (2020-2025)
3.1.2 Global Key Player Revenue Ranking (2023 vs. 2024)
3.1.3 Revenue-Based Tier Segmentation (Tier 1, Tier 2, and Tier 3)
3.1.4 Gross Margin by Top Player (2020 VS 2024)
3.2 Global Generative AI for Chip Design Companies Headquarters and Service Footprint
3.3 Main Product Type Market Size by Players
3.3.1 Logic Chip Market Size by Players
3.3.2 Analog Chip Market Size by Players
3.3.3 Others Market Size by Players
3.4 Global Generative AI for Chip Design Market Concentration and Dynamics
3.4.1 Global Market Concentration (CR5 and HHI)
3.4.2 Entrant/Exit Impact Analysis
3.4.3 Strategic Moves: M&A, Expansion, R&D Investment
4 Global Product Segmentation Analysis
4.1 Global Generative AI for Chip Design Revenue Trends by Type
4.1.1 Global Historical and Forecasted Revenue by Type (2020-2031)
4.1.2 Global Revenue Market Share by Type (2020-2031)
4.2 Key Product Attributes and Differentiation
4.3 Subtype Dynamics: Growth Leaders, Profitability and Risk
4.3.1 High-Growth Niches and Adoption Drivers
4.3.2 Profitability Hotspots and Cost Drivers
4.3.3 Substitution Threats
5 Global Downstream Application Analysis
5.1 Global Generative AI for Chip Design Revenue by Application
5.1.1 Global Historical and Forecasted Revenue by Application (2020-2031)
5.1.2 Revenue Market Share by Application (2020-2031)
5.1.3 High-Growth Application Identification
5.1.4 Emerging Application Case Studies
5.2 Downstream Customer Analysis
5.2.1 Top Customers by Region
5.2.2 Top Customers by Application
6 North America
6.1 North America Market Size (2020-2031)
6.2 North America Key Players Revenue in 2024
6.3 North America Generative AI for Chip Design Market Size by Type (2020-2031)
6.4 North America Generative AI for Chip Design Market Size by Application (2020-2031)
6.5 North America Growth Accelerators and Market Barriers
6.6 North America Generative AI for Chip Design Market Size by Country
6.6.1 North America Revenue Trends by Country
6.6.2 US
6.6.3 Canada
6.6.4 Mexico
7 Europe
7.1 Europe Market Size (2020-2031)
7.2 Europe Key Players Revenue in 2024
7.3 Europe Generative AI for Chip Design Market Size by Type (2020-2031)
7.4 Europe Generative AI for Chip Design Market Size by Application (2020-2031)
7.5 Europe Growth Accelerators and Market Barriers
7.6 Europe Generative AI for Chip Design Market Size by Country
7.6.1 Europe Revenue Trends by Country
7.6.2 Germany
7.6.3 France
7.6.4 U.K.
7.6.5 Italy
7.6.6 Russia
8 Asia-Pacific
8.1 Asia-Pacific Market Size (2020-2031)
8.2 Asia-Pacific Key Players Revenue in 2024
8.3 Asia-Pacific Generative AI for Chip Design Market Size by Type (2020-2031)
8.4 Asia-Pacific Generative AI for Chip Design Market Size by Application (2020-2031)
8.5 Asia-Pacific Growth Accelerators and Market Barriers
8.6 Asia-Pacific Generative AI for Chip Design Market Size by Region
8.6.1 Asia-Pacific Revenue Trends by Region
8.7 China
8.8 Japan
8.9 South Korea
8.10 Australia
8.11 India
8.12 Southeast Asia
8.12.1 Indonesia
8.12.2 Vietnam
8.12.3 Malaysia
8.12.4 Philippines
8.12.5 Singapore
9 Central and South America
9.1 Central and South America Market Size (2020-2031)
9.2 Central and South America Key Players Revenue in 2024
9.3 Central and South America Generative AI for Chip Design Market Size by Type (2020-2031)
9.4 Central and South America Generative AI for Chip Design Market Size by Application (2020-2031)
9.5 Central and South America Investment Opportunities and Key Challenges
9.6 Central and South America Generative AI for Chip Design Market Size by Country
9.6.1 Central and South America Revenue Trends by Country (2020 VS 2024 VS 2031)
9.6.2 Brazil
9.6.3 Argentina
10 Middle East and Africa
10.1 Middle East and Africa Market Size (2020-2031)
10.2 Middle East and Africa Key Players Revenue in 2024
10.3 Middle East and Africa Generative AI for Chip Design Market Size by Type (2020-2031)
10.4 Middle East and Africa Generative AI for Chip Design Market Size by Application (2020-2031)
10.5 Middle East and Africa Investment Opportunities and Key Challenges
10.6 Middle East and Africa Generative AI for Chip Design Market Size by Country
10.6.1 Middle East and Africa Revenue Trends by Country (2020 VS 2024 VS 2031)
10.6.2 GCC Countries
10.6.3 Israel
10.6.4 Egypt
10.6.5 South Africa
11 Corporate Profile
11.1 Microsoft Corporation
11.1.1 Microsoft Corporation Corporation Information
11.1.2 Microsoft Corporation Business Overview
11.1.3 Microsoft Corporation Generative AI for Chip Design Product Features and Attributes
11.1.4 Microsoft Corporation Generative AI for Chip Design Revenue and Gross Margin (2020-2025)
11.1.5 Microsoft Corporation Generative AI for Chip Design Revenue by Product in 2024
11.1.6 Microsoft Corporation Generative AI for Chip Design Revenue by Application in 2024
11.1.7 Microsoft Corporation Generative AI for Chip Design Revenue by Geographic Area in 2024
11.1.8 Microsoft Corporation Generative AI for Chip Design SWOT Analysis
11.1.9 Microsoft Corporation Recent Developments
11.2 Amazon Web Services
11.2.1 Amazon Web Services Corporation Information
11.2.2 Amazon Web Services Business Overview
11.2.3 Amazon Web Services Generative AI for Chip Design Product Features and Attributes
11.2.4 Amazon Web Services Generative AI for Chip Design Revenue and Gross Margin (2020-2025)
11.2.5 Amazon Web Services Generative AI for Chip Design Revenue by Product in 2024
11.2.6 Amazon Web Services Generative AI for Chip Design Revenue by Application in 2024
11.2.7 Amazon Web Services Generative AI for Chip Design Revenue by Geographic Area in 2024
11.2.8 Amazon Web Services Generative AI for Chip Design SWOT Analysis
11.2.9 Amazon Web Services Recent Developments
11.3 Intel Corporation
11.3.1 Intel Corporation Corporation Information
11.3.2 Intel Corporation Business Overview
11.3.3 Intel Corporation Generative AI for Chip Design Product Features and Attributes
11.3.4 Intel Corporation Generative AI for Chip Design Revenue and Gross Margin (2020-2025)
11.3.5 Intel Corporation Generative AI for Chip Design Revenue by Product in 2024
11.3.6 Intel Corporation Generative AI for Chip Design Revenue by Application in 2024
11.3.7 Intel Corporation Generative AI for Chip Design Revenue by Geographic Area in 2024
11.3.8 Intel Corporation Generative AI for Chip Design SWOT Analysis
11.3.9 Intel Corporation Recent Developments
11.4 Qualcomm Incorporated
11.4.1 Qualcomm Incorporated Corporation Information
11.4.2 Qualcomm Incorporated Business Overview
11.4.3 Qualcomm Incorporated Generative AI for Chip Design Product Features and Attributes
11.4.4 Qualcomm Incorporated Generative AI for Chip Design Revenue and Gross Margin (2020-2025)
11.4.5 Qualcomm Incorporated Generative AI for Chip Design Revenue by Product in 2024
11.4.6 Qualcomm Incorporated Generative AI for Chip Design Revenue by Application in 2024
11.4.7 Qualcomm Incorporated Generative AI for Chip Design Revenue by Geographic Area in 2024
11.4.8 Qualcomm Incorporated Generative AI for Chip Design SWOT Analysis
11.4.9 Qualcomm Incorporated Recent Developments
11.5 NVIDIA Corporation
11.5.1 NVIDIA Corporation Corporation Information
11.5.2 NVIDIA Corporation Business Overview
11.5.3 NVIDIA Corporation Generative AI for Chip Design Product Features and Attributes
11.5.4 NVIDIA Corporation Generative AI for Chip Design Revenue and Gross Margin (2020-2025)
11.5.5 NVIDIA Corporation Generative AI for Chip Design Revenue by Product in 2024
11.5.6 NVIDIA Corporation Generative AI for Chip Design Revenue by Application in 2024
11.5.7 NVIDIA Corporation Generative AI for Chip Design Revenue by Geographic Area in 2024
11.5.8 NVIDIA Corporation Generative AI for Chip Design SWOT Analysis
11.5.9 NVIDIA Corporation Recent Developments
11.6 Advanced Micro Devices
11.6.1 Advanced Micro Devices Corporation Information
11.6.2 Advanced Micro Devices Business Overview
11.6.3 Advanced Micro Devices Generative AI for Chip Design Product Features and Attributes
11.6.4 Advanced Micro Devices Generative AI for Chip Design Revenue and Gross Margin (2020-2025)
11.6.5 Advanced Micro Devices Recent Developments
11.7 Texas Instruments Incorporated
11.7.1 Texas Instruments Incorporated Corporation Information
11.7.2 Texas Instruments Incorporated Business Overview
11.7.3 Texas Instruments Incorporated Generative AI for Chip Design Product Features and Attributes
11.7.4 Texas Instruments Incorporated Generative AI for Chip Design Revenue and Gross Margin (2020-2025)
11.7.5 Texas Instruments Incorporated Recent Developments
11.8 MediaTek
11.8.1 MediaTek Corporation Information
11.8.2 MediaTek Business Overview
11.8.3 MediaTek Generative AI for Chip Design Product Features and Attributes
11.8.4 MediaTek Generative AI for Chip Design Revenue and Gross Margin (2020-2025)
11.8.5 MediaTek Recent Developments
11.9 Renesas Electronics Corporation
11.9.1 Renesas Electronics Corporation Corporation Information
11.9.2 Renesas Electronics Corporation Business Overview
11.9.3 Renesas Electronics Corporation Generative AI for Chip Design Product Features and Attributes
11.9.4 Renesas Electronics Corporation Generative AI for Chip Design Revenue and Gross Margin (2020-2025)
11.9.5 Renesas Electronics Corporation Recent Developments
11.10 Synopsys
11.10.1 Synopsys Corporation Information
11.10.2 Synopsys Business Overview
11.10.3 Synopsys Generative AI for Chip Design Product Features and Attributes
11.10.4 Synopsys Generative AI for Chip Design Revenue and Gross Margin (2020-2025)
11.10.5 Company Ten Recent Developments
11.11 Marvell Technology
11.11.1 Marvell Technology Corporation Information
11.11.2 Marvell Technology Business Overview
11.11.3 Marvell Technology Generative AI for Chip Design Product Features and Attributes
11.11.4 Marvell Technology Generative AI for Chip Design Revenue and Gross Margin (2020-2025)
11.11.5 Marvell Technology Recent Developments
11.12 Cadence Design Systems
11.12.1 Cadence Design Systems Corporation Information
11.12.2 Cadence Design Systems Business Overview
11.12.3 Cadence Design Systems Generative AI for Chip Design Product Features and Attributes
11.12.4 Cadence Design Systems Generative AI for Chip Design Revenue and Gross Margin (2020-2025)
11.12.5 Cadence Design Systems Recent Developments
11.13 Altair Engineering
11.13.1 Altair Engineering Corporation Information
11.13.2 Altair Engineering Business Overview
11.13.3 Altair Engineering Generative AI for Chip Design Product Features and Attributes
11.13.4 Altair Engineering Generative AI for Chip Design Revenue and Gross Margin (2020-2025)
11.13.5 Altair Engineering Recent Developments
11.14 Tenstorrent
11.14.1 Tenstorrent Corporation Information
11.14.2 Tenstorrent Business Overview
11.14.3 Tenstorrent Generative AI for Chip Design Product Features and Attributes
11.14.4 Tenstorrent Generative AI for Chip Design Revenue and Gross Margin (2020-2025)
11.14.5 Tenstorrent Recent Developments
11.15 Silvaco Group
11.15.1 Silvaco Group Corporation Information
11.15.2 Silvaco Group Business Overview
11.15.3 Silvaco Group Generative AI for Chip Design Product Features and Attributes
11.15.4 Silvaco Group Generative AI for Chip Design Revenue and Gross Margin (2020-2025)
11.15.5 Silvaco Group Recent Developments
11.16 Cerebras Systems
11.16.1 Cerebras Systems Corporation Information
11.16.2 Cerebras Systems Business Overview
11.16.3 Cerebras Systems Generative AI for Chip Design Product Features and Attributes
11.16.4 Cerebras Systems Generative AI for Chip Design Revenue and Gross Margin (2020-2025)
11.16.5 Cerebras Systems Recent Developments
11.17 Graphcore Limited
11.17.1 Graphcore Limited Corporation Information
11.17.2 Graphcore Limited Business Overview
11.17.3 Graphcore Limited Generative AI for Chip Design Product Features and Attributes
11.17.4 Graphcore Limited Generative AI for Chip Design Revenue and Gross Margin (2020-2025)
11.17.5 Graphcore Limited Recent Developments
11.18 SambaNova Systems
11.18.1 SambaNova Systems Corporation Information
11.18.2 SambaNova Systems Business Overview
11.18.3 SambaNova Systems Generative AI for Chip Design Product Features and Attributes
11.18.4 SambaNova Systems Generative AI for Chip Design Revenue and Gross Margin (2020-2025)
11.18.5 SambaNova Systems Recent Developments
11.19 Mythic AI
11.19.1 Mythic AI Corporation Information
11.19.2 Mythic AI Business Overview
11.19.3 Mythic AI Generative AI for Chip Design Product Features and Attributes
11.19.4 Mythic AI Generative AI for Chip Design Revenue and Gross Margin (2020-2025)
11.19.5 Mythic AI Recent Developments
11.20 Syntiant
11.20.1 Syntiant Corporation Information
11.20.2 Syntiant Business Overview
11.20.3 Syntiant Generative AI for Chip Design Product Features and Attributes
11.20.4 Syntiant Generative AI for Chip Design Revenue and Gross Margin (2020-2025)
11.20.5 Syntiant Recent Developments
12 Generative AI for Chip DesignIndustry Chain Analysis
12.1 Generative AI for Chip Design Industry Chain
12.2 Upstream Analysis
12.2.1 Upstream Key Suppliers
12.3 Middlestream Analysis
12.4 Downstream Sales Model and Distribution Networks
12.4.1 Sales Channels
12.4.2 Distributors
13 Generative AI for Chip Design Market Dynamics
13.1 Industry Trends and Evolution
13.2 Market Growth Drivers and Emerging Opportunities
13.3 Market Challenges, Risks, and Restraints
14 Key Findings in the Global Generative AI for Chip Design Study
15 Appendix
15.1 Research Methodology
15.1.1 Methodology/Research Approach
15.1.1.1 Research Programs/Design
15.1.1.2 Market Size Estimation
15.1.1.3 Market Breakdown and Data Triangulation
15.1.2 Data Source
15.1.2.1 Secondary Sources
15.1.2.2 Primary Sources
15.2 Author Details

List of Tables
Table 1. Global Generative AI for Chip Design Market Size Growth Rate by Type, 2020 VS 2024 VS 2031 (US$ Million)
Table 2. Global Generative AI for Chip Design Market Size Growth Rate by Application, 2020 VS 2024 VS 2031 (US$ Million)
Table 3. Global Generative AI for Chip Design Revenue Grow Rate (CAGR) by Region: 2020 VS 2024 VS 2031 (US$ Million)
Table 4. Global Generative AI for Chip Design Revenue by Region (2020-2025) & (US$ Million)
Table 5. Global Generative AI for Chip Design Revenue by Region (2026-2031) & (US$ Million)
Table 6. Emerging Market Revenue Grow Rate (CAGR) by Country (2020 VS 2024 VS 2031) (US$ Million)
Table 7. Global Generative AI for Chip Design Revenue by Players (2020-2025) & (US$ Million)
Table 8. Global Generative AI for Chip Design Revenue Market Share by Players (2020-2025)
Table 9. Global Key Players’Ranking Shift (2023 vs. 2024) (Based on Revenue)
Table 10. Global Generative AI for Chip Design by Player Tier (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Generative AI for Chip Design as of 2024)
Table 11. Global Generative AI for Chip Design Average Gross Margin (%) by Player (2020 VS 2024)
Table 12. Global Generative AI for Chip Design Companies Headquarters
Table 13. Global Generative AI for Chip Design Market Concentration Ratio (CR5 and HHI)
Table 14. Key Market Entrant/Exit (2020-2024) – Drivers & Impact Analysis
Table 15. Key Mergers & Acquisitions, Expansion Plans, R&D Investment
Table 16. Global Generative AI for Chip Design Revenue by Type (2020-2025) & (US$ Million)
Table 17. Global Generative AI for Chip Design Revenue by Type (2026-2031) & (US$ Million)
Table 18. Key Product Attributes and Differentiation
Table 19. Global Generative AI for Chip Design Revenue by Application (2020-2025) & (US$ Million)
Table 20. Global Generative AI for Chip Design Revenue by Application (2026-2031) & (US$ Million)
Table 21. Generative AI for Chip Design High-Growth Sectors Demand CAGR (2024-2031)
Table 22. Top Customers by Region
Table 23. Top Customers by Application
Table 24. North America Generative AI for Chip Design Growth Accelerators and Market Barriers
Table 25. North America Generative AI for Chip Design Revenue Grow Rate (CAGR) by Country (2020 VS 2024 VS 2031) (US$ Million)
Table 26. Europe Generative AI for Chip Design Growth Accelerators and Market Barriers
Table 27. Europe Generative AI for Chip Design Revenue Grow Rate (CAGR) by Country: 2020 VS 2024 VS 2031 (US$ Million)
Table 28. Asia-Pacific Generative AI for Chip Design Growth Accelerators and Market Barriers
Table 29. Asia-Pacific Generative AI for Chip Design Revenue Grow Rate (CAGR) by Region: 2020 VS 2024 VS 2031 (US$ Million)
Table 30. Central and South America Generative AI for Chip Design Investment Opportunities and Key Challenges
Table 31. Central and South America Generative AI for Chip Design Revenue Grow Rate (CAGR) by Country (2020 VS 2024 VS 2031) (US$ Million)
Table 32. Middle East and Africa Generative AI for Chip Design Investment Opportunities and Key Challenges
Table 33. Middle East and Africa Generative AI for Chip Design Revenue Grow Rate (CAGR) by Country (2020 VS 2024 VS 2031) (US$ Million)
Table 34. Microsoft Corporation Corporation Information
Table 35. Microsoft Corporation Description and Major Businesses
Table 36. Microsoft Corporation Product Features and Attributes
Table 37. Microsoft Corporation Revenue (US$ Million) and Gross Margin (2020-2025)
Table 38. Microsoft Corporation Revenue Proportion by Product in 2024
Table 39. Microsoft Corporation Revenue Proportion by Application in 2024
Table 40. Microsoft Corporation Revenue Proportion by Geographic Area in 2024
Table 41. Microsoft Corporation Generative AI for Chip Design SWOT Analysis
Table 42. Microsoft Corporation Recent Developments
Table 43. Amazon Web Services Corporation Information
Table 44. Amazon Web Services Description and Major Businesses
Table 45. Amazon Web Services Product Features and Attributes
Table 46. Amazon Web Services Revenue (US$ Million) and Gross Margin (2020-2025)
Table 47. Amazon Web Services Revenue Proportion by Product in 2024
Table 48. Amazon Web Services Revenue Proportion by Application in 2024
Table 49. Amazon Web Services Revenue Proportion by Geographic Area in 2024
Table 50. Amazon Web Services Generative AI for Chip Design SWOT Analysis
Table 51. Amazon Web Services Recent Developments
Table 52. Intel Corporation Corporation Information
Table 53. Intel Corporation Description and Major Businesses
Table 54. Intel Corporation Product Features and Attributes
Table 55. Intel Corporation Revenue (US$ Million) and Gross Margin (2020-2025)
Table 56. Intel Corporation Revenue Proportion by Product in 2024
Table 57. Intel Corporation Revenue Proportion by Application in 2024
Table 58. Intel Corporation Revenue Proportion by Geographic Area in 2024
Table 59. Intel Corporation Generative AI for Chip Design SWOT Analysis
Table 60. Intel Corporation Recent Developments
Table 61. Qualcomm Incorporated Corporation Information
Table 62. Qualcomm Incorporated Description and Major Businesses
Table 63. Qualcomm Incorporated Product Features and Attributes
Table 64. Qualcomm Incorporated Revenue (US$ Million) and Gross Margin (2020-2025)
Table 65. Qualcomm Incorporated Revenue Proportion by Product in 2024
Table 66. Qualcomm Incorporated Revenue Proportion by Application in 2024
Table 67. Qualcomm Incorporated Revenue Proportion by Geographic Area in 2024
Table 68. Qualcomm Incorporated Generative AI for Chip Design SWOT Analysis
Table 69. Qualcomm Incorporated Recent Developments
Table 70. NVIDIA Corporation Corporation Information
Table 71. NVIDIA Corporation Description and Major Businesses
Table 72. NVIDIA Corporation Product Features and Attributes
Table 73. NVIDIA Corporation Revenue (US$ Million) and Gross Margin (2020-2025)
Table 74. NVIDIA Corporation Revenue Proportion by Product in 2024
Table 75. NVIDIA Corporation Revenue Proportion by Application in 2024
Table 76. NVIDIA Corporation Revenue Proportion by Geographic Area in 2024
Table 77. NVIDIA Corporation Generative AI for Chip Design SWOT Analysis
Table 78. NVIDIA Corporation Recent Developments
Table 79. Advanced Micro Devices Corporation Information
Table 80. Advanced Micro Devices Description and Major Businesses
Table 81. Advanced Micro Devices Product Features and Attributes
Table 82. Advanced Micro Devices Revenue (US$ Million) and Gross Margin (2020-2025)
Table 83. Advanced Micro Devices Recent Developments
Table 84. Texas Instruments Incorporated Corporation Information
Table 85. Texas Instruments Incorporated Description and Major Businesses
Table 86. Texas Instruments Incorporated Product Features and Attributes
Table 87. Texas Instruments Incorporated Revenue (US$ Million) and Gross Margin (2020-2025)
Table 88. Texas Instruments Incorporated Recent Developments
Table 89. MediaTek Corporation Information
Table 90. MediaTek Description and Major Businesses
Table 91. MediaTek Product Features and Attributes
Table 92. MediaTek Revenue (US$ Million) and Gross Margin (2020-2025)
Table 93. MediaTek Recent Developments
Table 94. Renesas Electronics Corporation Corporation Information
Table 95. Renesas Electronics Corporation Description and Major Businesses
Table 96. Renesas Electronics Corporation Product Features and Attributes
Table 97. Renesas Electronics Corporation Revenue (US$ Million) and Gross Margin (2020-2025)
Table 98. Renesas Electronics Corporation Recent Developments
Table 99. Synopsys Corporation Information
Table 100. Synopsys Description and Major Businesses
Table 101. Synopsys Product Features and Attributes
Table 102. Synopsys Revenue (US$ Million) and Gross Margin (2020-2025)
Table 103. Synopsys Recent Developments
Table 104. Marvell Technology Corporation Information
Table 105. Marvell Technology Description and Major Businesses
Table 106. Marvell Technology Product Features and Attributes
Table 107. Marvell Technology Revenue (US$ Million) and Gross Margin (2020-2025)
Table 108. Marvell Technology Recent Developments
Table 109. Cadence Design Systems Corporation Information
Table 110. Cadence Design Systems Description and Major Businesses
Table 111. Cadence Design Systems Product Features and Attributes
Table 112. Cadence Design Systems Revenue (US$ Million) and Gross Margin (2020-2025)
Table 113. Cadence Design Systems Recent Developments
Table 114. Altair Engineering Corporation Information
Table 115. Altair Engineering Description and Major Businesses
Table 116. Altair Engineering Product Features and Attributes
Table 117. Altair Engineering Revenue (US$ Million) and Gross Margin (2020-2025)
Table 118. Altair Engineering Recent Developments
Table 119. Tenstorrent Corporation Information
Table 120. Tenstorrent Description and Major Businesses
Table 121. Tenstorrent Product Features and Attributes
Table 122. Tenstorrent Revenue (US$ Million) and Gross Margin (2020-2025)
Table 123. Tenstorrent Recent Developments
Table 124. Silvaco Group Corporation Information
Table 125. Silvaco Group Description and Major Businesses
Table 126. Silvaco Group Product Features and Attributes
Table 127. Silvaco Group Revenue (US$ Million) and Gross Margin (2020-2025)
Table 128. Silvaco Group Recent Developments
Table 129. Cerebras Systems Corporation Information
Table 130. Cerebras Systems Description and Major Businesses
Table 131. Cerebras Systems Product Features and Attributes
Table 132. Cerebras Systems Revenue (US$ Million) and Gross Margin (2020-2025)
Table 133. Cerebras Systems Recent Developments
Table 134. Graphcore Limited Corporation Information
Table 135. Graphcore Limited Description and Major Businesses
Table 136. Graphcore Limited Product Features and Attributes
Table 137. Graphcore Limited Revenue (US$ Million) and Gross Margin (2020-2025)
Table 138. Graphcore Limited Recent Developments
Table 139. SambaNova Systems Corporation Information
Table 140. SambaNova Systems Description and Major Businesses
Table 141. SambaNova Systems Product Features and Attributes
Table 142. SambaNova Systems Revenue (US$ Million) and Gross Margin (2020-2025)
Table 143. SambaNova Systems Recent Developments
Table 144. Mythic AI Corporation Information
Table 145. Mythic AI Description and Major Businesses
Table 146. Mythic AI Product Features and Attributes
Table 147. Mythic AI Revenue (US$ Million) and Gross Margin (2020-2025)
Table 148. Mythic AI Recent Developments
Table 149. Syntiant Corporation Information
Table 150. Syntiant Description and Major Businesses
Table 151. Syntiant Product Features and Attributes
Table 152. Syntiant Revenue (US$ Million) and Gross Margin (2020-2025)
Table 153. Syntiant Recent Developments
Table 154. Raw Materials Key Suppliers
Table 155. Distributors List
Table 156. Market Trends and Market Evolution
Table 157. Market Drivers and Opportunities
Table 158. Market Challenges, Risks, and Restraints
Table 159. Research Programs/Design for This Report
Table 160. Key Data Information from Secondary Sources
Table 161. Key Data Information from Primary Sources


List of Figures
Figure 1. Generative AI for Chip Design Product Picture
Figure 2. Global Generative AI for Chip Design Market Size Growth Rate by Type, 2020 VS 2024 VS 2031 (US$ Million)
Figure 3. Logic Chip Product Picture
Figure 4. Analog Chip Product Picture
Figure 5. Others Product Picture
Figure 6. Global Generative AI for Chip Design Market Size Growth Rate by Application, 2020 VS 2024 VS 2031 (US$ Million)
Figure 7. Automotive
Figure 8. Communications
Figure 9. Consumer Electronics
Figure 10. Industrial
Figure 11. Others
Figure 12. Generative AI for Chip Design Report Years Considered
Figure 13. Global Generative AI for Chip Design Revenue, (US$ Million), 2020 VS 2024 VS 2031
Figure 14. Global Generative AI for Chip Design Revenue (2020-2031) & (US$ Million)
Figure 15. Global Generative AI for Chip Design Revenue (CAGR) by Region: 2020 VS 2024 VS 2031 (US$ Million)
Figure 16. Global Generative AI for Chip Design Revenue Market Share by Region (2020-2031)
Figure 17. Global Generative AI for Chip Design Revenue Market Share Ranking (2024)
Figure 18. Tier Distribution by Revenue Contribution (2020 VS 2024)
Figure 19. Logic Chip Revenue Market Share by Player in 2024
Figure 20. Analog Chip Revenue Market Share by Player in 2024
Figure 21. Others Revenue Market Share by Player in 2024
Figure 22. Global Generative AI for Chip Design Revenue Market Share by Type (2020-2031)
Figure 23. Global Generative AI for Chip Design Revenue Market Share by Application (2020-2031)
Figure 24. North America Generative AI for Chip Design Revenue YoY (2020-2031) & (US$ Million)
Figure 25. North America Top 5 Players Generative AI for Chip Design Revenue (US$ Million) in 2024
Figure 26. North America Generative AI for Chip Design Revenue (US$ Million) by Type (2020 - 2031)
Figure 27. North America Generative AI for Chip Design Revenue (US$ Million) by Application (2020-2031)
Figure 28. US Generative AI for Chip Design Revenue (2020-2031) & (US$ Million)
Figure 29. Canada Generative AI for Chip Design Revenue (2020-2031) & (US$ Million)
Figure 30. Mexico Generative AI for Chip Design Revenue (2020-2031) & (US$ Million)
Figure 31. Europe Generative AI for Chip Design Revenue YoY (2020-2031) & (US$ Million)
Figure 32. Europe Top 5 Players Generative AI for Chip Design Revenue (US$ Million) in 2024
Figure 33. Europe Generative AI for Chip Design Revenue (US$ Million) by Type (2020-2031)
Figure 34. Europe Generative AI for Chip Design Revenue (US$ Million) by Application (2020-2031)
Figure 35. Germany Generative AI for Chip Design Revenue (2020-2031) & (US$ Million)
Figure 36. France Generative AI for Chip Design Revenue (2020-2031) & (US$ Million)
Figure 37. U.K. Generative AI for Chip Design Revenue (2020-2031) & (US$ Million)
Figure 38. Italy Generative AI for Chip Design Revenue (2020-2031) & (US$ Million)
Figure 39. Russia Generative AI for Chip Design Revenue (2020-2031) & (US$ Million)
Figure 40. Asia-Pacific Generative AI for Chip Design Revenue YoY (2020-2031) & (US$ Million)
Figure 41. Asia-Pacific Top 8 Players Generative AI for Chip Design Revenue (US$ Million) in 2024
Figure 42. Asia-Pacific Generative AI for Chip Design Revenue (US$ Million) by Type (2020-2031)
Figure 43. Asia-Pacific Generative AI for Chip Design Revenue (US$ Million) by Application (2020-2031)
Figure 44. Indonesia Generative AI for Chip Design Revenue (2020-2031) & (US$ Million)
Figure 45. Japan Generative AI for Chip Design Revenue (2020-2031) & (US$ Million)
Figure 46. South Korea Generative AI for Chip Design Revenue (2020-2031) & (US$ Million)
Figure 47. Australia Generative AI for Chip Design Revenue (2020-2031) & (US$ Million)
Figure 48. India Generative AI for Chip Design Revenue (2020-2031) & (US$ Million)
Figure 49. Indonesia Generative AI for Chip Design Revenue (2020-2031) & (US$ Million)
Figure 50. Vietnam Generative AI for Chip Design Revenue (2020-2031) & (US$ Million)
Figure 51. Malaysia Generative AI for Chip Design Revenue (2020-2031) & (US$ Million)
Figure 52. Philippines Generative AI for Chip Design Revenue (2020-2031) & (US$ Million)
Figure 53. Singapore Generative AI for Chip Design Revenue (2020-2031) & (US$ Million)
Figure 54. Central and South America Generative AI for Chip Design Revenue YoY (2020-2031) & (US$ Million)
Figure 55. Central and South America Top 5 Players Generative AI for Chip Design Revenue (US$ Million) in 2024
Figure 56. Central and South America Generative AI for Chip Design Revenue (US$ Million) by Type (2020-2031)
Figure 57. Central and South America Generative AI for Chip Design Revenue (US$ Million) by Application (2020-2031)
Figure 58. Brazil Generative AI for Chip Design Revenue (2020-2025) & (US$ Million)
Figure 59. Argentina Generative AI for Chip Design Revenue (2020-2025) & (US$ Million)
Figure 60. Middle East and Africa Generative AI for Chip Design Revenue YoY (2020-2031) & (US$ Million)
Figure 61. Middle East and Africa Top 5 Players Generative AI for Chip Design Revenue (US$ Million) in 2024
Figure 62. South America Generative AI for Chip Design Revenue (US$ Million) by Type (2020-2031)
Figure 63. Middle East and Africa Generative AI for Chip Design Revenue (US$ Million) by Application (2020-2031)
Figure 64. GCC Countries Generative AI for Chip Design Revenue (2020-2025) & (US$ Million)
Figure 65. Israel Generative AI for Chip Design Revenue (2020-2025) & (US$ Million)
Figure 66. Egypt Generative AI for Chip Design Revenue (2020-2025) & (US$ Million)
Figure 67. South Africa Generative AI for Chip Design Revenue (2020-2025) & (US$ Million)
Figure 68. Generative AI for Chip Design Industry Chain Mapping
Figure 69. Channels of Distribution (Direct Vs Distribution)
Figure 70. Bottom-up and Top-down Approaches for This Report
Figure 71. Data Triangulation
Figure 72. Key Executives Interviewed

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