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市場調查報告書
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1849305

2025年晶片設計中的生成式人工智慧全球市場報告

Generative AI In Chip Design Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10個工作天內

價格
簡介目錄

近年來，晶片設計領域生成式人工智慧的市場規模迅速擴張，從2024年的2億美元成長到2025年的2.6億美元，複合年成長率達31.8%。這一成長主要受以下因素驅動：對速度更快、效率更高的晶片的需求、半導體設計日益複雜的趨勢、人工智慧技術的快速發展以及數據可用性和運算能力的不斷提升。

預計未來幾年，晶片設計領域生成式人工智慧的市場規模將呈指數級成長，到2029年將達到7.2億美元，複合年成長率（CAGR）為29.3%。預測期間的成長主要受以下因素驅動：對高效能晶片的持續需求、對設計效率和生產力的重視，以及對客製化和專用晶片日益成長的需求。預測期內的關鍵趨勢包括：模型效率的提升、特定領域的模型開發、與設計自動化工具的整合、多目標最佳化以及監管和倫理方面的考量。

未來五年29.3%的預測成長率較我們先前對該市場的預測略微下降了0.5%。這一下降主要歸因於美國與其他國家之間的關稅影響。雷射雷達系統、嵌入式處理器和導航晶片等組件（這些組件通常來自受關稅影響的國家）的關稅可能會減緩生成式人工智慧在自動駕駛汽車中的應用。此外，由於相互關稅以及貿易緊張局勢和限制措施升級對全球經濟和貿易造成的負面影響，這種影響也將更加廣泛。

預計汽車應用需求的成長將推動晶片設計領域生成式人工智慧市場的未來成長。汽車產業涵蓋與汽車相關的所有方面，包括設計、上市、製造、行銷和銷售。汽車領域的生成式人工智慧應用旨在增強車輛性能、改善駕駛體驗、提高安全性並最佳化營運。隨著消費者對車輛的先進安全功能、互聯性、永續性和便利性的期望不斷提高，汽車銷售量也持續成長。晶片設計領域的生成式人工智慧在最佳化用於高級駕駛輔助系統 (ADAS)、自動駕駛和節能型車載電子設備的半導體架構方面發揮關鍵作用。例如，根據歐洲汽車製造商協會 (EAA) 2023 年 5 月的數據，預計 2022 年全球汽車產量將達到 8,540 萬輛，比 2021 年成長 5.7%。因此，汽車應用需求的成長正在推動晶片設計領域生成式人工智慧市場的擴張。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場：宏觀經濟情景，包括利率、通貨膨脹、地緣政治、貿易戰和關稅，以及新冠疫情及其復甦對市場的影響

第5章 全球成長分析與策略分析框架

  • 全球晶片設計中的生成式人工智慧：PESTEL 分析（政治、社會、技術、環境、法律因素、促進因素和限制因素）
  • 終端用戶產業分析
  • 全球晶片設計領域生成式人工智慧市場：成長率分析
  • 全球晶片設計領域生成式人工智慧市場表現：規模與成長，2019-2024年
  • 全球晶片設計領域生成式人工智慧市場預測：規模與成長，2024-2029年，2034年預測
  • 全球晶片設計領域生成式人工智慧：潛在市場規模 (TAM)

第6章 市場細分

  • 全球晶片設計領域生成式人工智慧市場：按類型分類，實際結果與預測，2019-2024年、2024-2029年預測、2034年預測
  • 生成對抗網路
  • 變分自編碼器
  • 強化學習
  • 演化演算法
  • 深度學習模型
  • 其他類型
  • 全球晶片設計領域生成式人工智慧市場：按部署情況、實際結果和預測（2019-2024 年、2024-2029 年預測、2034 年預測）分類
  • 離線部署
  • 雲端基礎的
  • 本地部署
  • 嵌入式
  • 混合
  • 全球晶片設計領域生成式人工智慧市場：按應用分類，實際結果與預測，2019-2024年、2024-2029年預測、2034年預測
  • 邏輯設計
  • 實體設計
  • 類比和混合訊號設計
  • 功率最佳化
  • 設計檢驗
  • 其他用途
  • 全球晶片設計領域生成式人工智慧市場：依生成對抗網路（類型）細分，實際值及預測值（2019-2024 年、2024-2029 年預測值、2034 年預測值）
  • 香草 GAN
  • 條件生成對抗網路（Conditional GAN）
  • 循環生成對抗網路
  • Wasserstein GAN
  • 全球晶片設計領域生成式人工智慧市場：細分市場－變分自編碼器，依類型分類，實際值及預測值，2019-2024年、2024-2029年預測值、2034年預測值
  • 基本 VAE
  • 條件性VAE
  • BETA-VAE
  • 分層 VAE
  • 全球晶片設計領域生成式人工智慧市場：依強化學習類型細分，實際值及預測值（2019-2024年、2024-2029年預測值、2034年預測值）
  • 無模型強化學習
  • 基於模型的強化學習
  • 深度強化學習
  • 全球晶片設計領域生成式人工智慧市場：依演化演算法（類型）、效能與預測細分，2019-2024年、2024-2029年預測、2034年預測
  • 遺傳演算法
  • 基因程式設計
  • 差分進化演算法
  • 演化策略
  • 全球晶片設計領域生成式人工智慧市場：細分市場、深度學習模型類型、效能及預測（2019-2024年、2024-2029年預測、2034年預測）
  • 卷積類神經網路（CNN）
  • 循環神經網路（RNN）
  • 變壓器模型
  • 多層感知器（MLP）
  • 全球晶片設計中的生成式人工智慧市場：其他細分市場（按類型分類），實際數據和預測數據，2019-2024年，2024-2029年預測，2034年預測
  • 貝氏網路
  • 遷移學習模型
  • 自組織映射
  • 晶片設計領域的其他新興模型

第7章 區域和國家分析

  • 全球晶片設計領域生成式人工智慧市場：依地區分類，結果及預測，2019-2024年、2024-2029年預測、2034年預測
  • 全球晶片設計領域生成式人工智慧市場：按國家/地區分類，實際結果和預測，2019-2024 年、2024-2029 年預測、2034 年預測

第8章 亞太市場

第9章：中國市場

第10章 印度市場

第11章 日本市場

第12章：澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章 西歐市場

第16章英國市場

第17章：德國市場

第18章：法國市場

第19章：義大利市場

第20章：西班牙市場

第21章 東歐市場

第22章 俄羅斯市場

第23章 北美市場

第24章美國市場

第25章：加拿大市場

第26章 南美洲市場

第27章：巴西市場

第28章 中東市場

第29章：非洲市場

第30章：競爭格局與公司概況

  • 晶片設計中的生成式人工智慧：競爭格局
  • 晶片設計中的生成式人工智慧市場：公司概況
    • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis
    • Intel Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Qualcomm Incorporated Overview, Products and Services, Strategy and Financial Analysis
    • NVIDIA Corporation Overview, Products and Services, Strategy and Financial Analysis

第31章：其他領先和創新企業

  • Advanced Micro Devices
  • Texas Instruments Incorporated
  • MediaTek Inc.
  • Renesas Electronics Corporation
  • Synopsys Inc.
  • Marvell Technology Inc.
  • Cadence Design Systems Inc.
  • Altair Engineering
  • Tenstorrent Inc.
  • Silvaco Group Inc.
  • Cerebras Systems Inc.
  • Graphcore Limited
  • SambaNova Systems
  • Mythic AI
  • Syntiant Corp.

第32章 全球市場競爭基準化分析與儀錶板

第33章 重大併購

第34章 近期市場趨勢

第35章：高潛力市場國家、細分市場與策略

  • 2029年晶片設計中的生成式人工智慧：提供新機會的國家
  • 2029 年晶片設計中的生成式人工智慧：充滿新機會的細分領域
  • 2029 年晶片設計中的生成式人工智慧：成長策略
    • 基於市場趨勢的策略
    • 競爭對手策略

第36章附錄

簡介目錄
Product Code: r30304u

Generative AI in chip design refers to employing generative artificial intelligence techniques to aid in the creation and optimization of computer chip designs. This technology facilitates the exploration and generation of innovative chip architectures, optimization of chip layouts for enhanced performance and power efficiency, and automation of various stages within the chip design process. Ultimately, it accelerates development cycles and enhances the efficiency of chip designs.

The primary types of generative AI in chip design include generative adversarial networks, variational autoencoders, reinforcement learning, evolutionary algorithms, deep learning models, and others. Generative adversarial networks (GANs) belong to a class of machine learning algorithms used in unsupervised learning, capable of generating new data instances resembling those in a given dataset. These technologies can be deployed through various modes such as offline deployment, cloud-based solutions, on-premises setups, embedded systems, and hybrid approaches. They find application across different facets of chip design including logic design, physical design, analog and mixed-signal design, power optimization, design verification, among others.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sharp rise in U.S. tariffs and the ensuing trade tensions in spring 2025 are having a significant impact on the information technology sector, especially in hardware manufacturing, data infrastructure, and software deployment. Increased duties on imported semiconductors, circuit boards, and networking equipment have driven up production and operating costs for tech companies, cloud service providers, and data centers. Firms that depend on globally sourced components for laptops, servers, and consumer electronics are grappling with extended lead times and mounting pricing pressures. At the same time, tariffs on specialized software and retaliatory actions by key international markets have disrupted global IT supply chains and dampened foreign demand for U.S.-made technologies. In response, the sector is ramping up investments in domestic chip production, broadening its supplier network, and leveraging AI-powered automation to improve resilience and manage costs more effectively.

The generative AI in chip design market research report is one of a series of new reports from The Business Research Company that provides generative AI in chip design market statistics, including generative AI in chip design industry global market size, regional shares, competitors with a generative AI in chip design market share, detailed generative AI in chip design market segments, market trends and opportunities, and any further data you may need to thrive in the generative AI in chip design industry. This generative AI in chip design market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The generative ai in chip design market size has grown exponentially in recent years. It will grow from $0.2 billion in 2024 to $0.26 billion in 2025 at a compound annual growth rate (CAGR) of 31.8%. The growth in the historic period can be attributed to the demand for faster and more efficient chips, the complexity of semiconductor designs, rapid technological advancements in AI, and growing data availability and computational power.

The generative ai in chip design market size is expected to see exponential growth in the next few years. It will grow to $0.72 billion in 2029 at a compound annual growth rate (CAGR) of 29.3%. The growth in the forecast period can be attributed to continued demand for high-performance chips, focus on design efficiency and productivity, and rising demand for customized and specialized chips. Major trends in the forecast period include advancements in model efficiency, domain-specific model development, integration with design automation tools, multi-objective optimization, and regulatory and ethical considerations.

The forecast of 29.3% growth over the next five years reflects a modest reduction of 0.5% from the previous estimate for this market. This reduction is primarily due to the impact of tariffs between the US and other countries. The integration of Generative AI in Autonomous Vehicles may be slowed by tariffs on LIDAR systems, embedded processors, and navigation chips-components often sourced from tariff-impacted countries. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

The increasing demand for automotive applications is poised to drive the future growth of the generative AI in chip design market. Automotive encompasses all aspects related to motor vehicles, including their design, development, manufacturing, marketing, and sales. Generative AI applications in automotive aim to enhance vehicles, improve driving experiences, boost safety, and optimize operations. With consumers expecting advanced safety features, connectivity, sustainability, and convenience in vehicles, automobile sales are on the rise. Generative AI in chip design plays a crucial role in optimizing semiconductor architectures for advanced driver-assistance systems (ADAS), autonomous driving, and energy-efficient vehicle electronics. For example, data from the European Automobile Manufacturers Association in May 2023 indicated that global motor vehicle production reached 85.4 million units in 2022, marking a 5.7% increase from 2021. Consequently, the growing demand for automotive applications is propelling the expansion of the generative AI in chip design market.

Key players in the generative AI in chip design market are concentrating on developing technologically advanced solutions, such as generative AI-based copilots, to cater to the escalating demand for high-performance, energy-efficient computing solutions. A generative AI-based copilot is an artificial intelligence system that assists users by generating content, suggestions, or solutions based on context and user input. For instance, in November 2023, Synopsys Inc., a US-based electronic design automation company, unveiled Synopsys.ai Copilot, a tool featuring breakthrough generative artificial intelligence (GenAI) capabilities for accelerating chip design. This innovative tool integrates the Microsoft Azure OpenAI Service, providing access to OpenAI's large language models (LLMs) within the capabilities of Microsoft Azure. It enhances the chip design process with conversational intelligence and generative capabilities in natural language across design teams.

In January 2024, Synopsys Inc., a US-based electronic design automation company, acquired Ansys Inc. for $35 billion. This strategic acquisition aims to bolster Synopsys's position in the chip design market by enhancing its capabilities and addressing demand across industries such as aerospace, defense, automotive, and energy. Ansys Inc., a US-based software company, offers generative chip design AI through its AI-augmented simulation technology, complementing Synopsys's objectives.

Major companies operating in the generative AI in chip design market are Microsoft Corporation, Amazon Web Services Inc., Intel Corporation, Qualcomm Incorporated, NVIDIA Corporation, Advanced Micro Devices, Texas Instruments Incorporated, MediaTek Inc., Renesas Electronics Corporation, Synopsys Inc., Marvell Technology Inc., Cadence Design Systems Inc., Altair Engineering, Tenstorrent Inc., Silvaco Group Inc., Cerebras Systems Inc., Graphcore Limited, SambaNova Systems, Mythic AI, Syntiant Corp., Esperanto Technologies, Efinix Inc.

North America was the largest region in the generative AI in chip design market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative AI in chip design market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the generative AI in chip design market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The generative AI in chip design market includes revenues earned by entities by providing services such as algorithm development, consultation and expertise, training and education, customization and integration, prototype development, and performance optimization. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Generative AI In Chip Design Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on generative ai in chip design market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for generative ai in chip design ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The generative ai in chip design market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

  • Markets Covered:1) By Type: Generative Adversarial Networks; Variational Autoencoder; Reinforcement Learning; Evolutionary Algorithms; Deep Learning Models; Other Types
  • 2) By Deployment: Offline Deployment; Cloud-Based; On-Premises; Embedded; Hybrid
  • 3) By Application: Logic Design; Physical Design; Analog And Mixed-Signal Design; Power Optimization; Design Verification; Other Applications
  • Subsegments:
  • 1) By Generative Adversarial Networks: Vanilla GANs; Conditional GANs; CycleGANs; Wasserstein GANs
  • 2) By Variational Autoencoder: Basic VAEs; Conditional VAEs; Beta-VAEs; Hierarchical VAEs
  • 3) By Reinforcement Learning: Model-Free Reinforcement Learning; Model-Based Reinforcement Learning; Deep Reinforcement Learning
  • 4) By Evolutionary Algorithms: Genetic Algorithms; Genetic Programming; Differential Evolution Algorithms; Evolution Strategies
  • 5) By Deep Learning Models: Convolutional Neural Networks (CNNs); Recurrent Neural Networks (RNNs); Transformer Models; Multilayer Perceptrons (MLPs)
  • 6) By Other Types: Bayesian Networks; Transfer Learning Models; Self-Organizing Maps; Other Emerging Models In Chip Design
  • Companies Mentioned: Microsoft Corporation; Amazon Web Services Inc.; Intel Corporation; Qualcomm Incorporated; NVIDIA Corporation; Advanced Micro Devices; Texas Instruments Incorporated; MediaTek Inc.; Renesas Electronics Corporation; Synopsys Inc.; Marvell Technology Inc.; Cadence Design Systems Inc.; Altair Engineering; Tenstorrent Inc.; Silvaco Group Inc.; Cerebras Systems Inc.; Graphcore Limited; SambaNova Systems; Mythic AI; Syntiant Corp.; Esperanto Technologies; Efinix Inc.
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery Format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. Generative AI in Chip Design Market Characteristics

3. Generative AI in Chip Design Market Trends And Strategies

4. Generative AI in Chip Design Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

  • 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

5. Global Generative AI in Chip Design Growth Analysis And Strategic Analysis Framework

  • 5.1. Global Generative AI in Chip Design PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 5.2. Analysis Of End Use Industries
  • 5.3. Global Generative AI in Chip Design Market Growth Rate Analysis
  • 5.4. Global Generative AI in Chip Design Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global Generative AI in Chip Design Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global Generative AI in Chip Design Total Addressable Market (TAM)

6. Generative AI in Chip Design Market Segmentation

  • 6.1. Global Generative AI in Chip Design Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Generative Adversarial Networks
  • Variational Autoencoder
  • Reinforcement Learning
  • Evolutionary Algorithms
  • Deep Learning Models
  • Other Types
  • 6.2. Global Generative AI in Chip Design Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Offline Deployment
  • Cloud-Based
  • On-Premises
  • Embedded
  • Hybrid
  • 6.3. Global Generative AI in Chip Design Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Logic Design
  • Physical Design
  • Analog And Mixed-Signal Design
  • Power Optimization
  • Design Verification
  • Other Applications
  • 6.4. Global Generative AI in Chip Design Market, Sub-Segmentation Of Generative Adversarial Networks, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Vanilla GANs
  • Conditional GANs
  • CycleGANs
  • Wasserstein GANs
  • 6.5. Global Generative AI in Chip Design Market, Sub-Segmentation Of Variational Autoencoder, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Basic VAEs
  • Conditional VAEs
  • Beta-VAEs
  • Hierarchical VAEs
  • 6.6. Global Generative AI in Chip Design Market, Sub-Segmentation Of Reinforcement Learning, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Model-Free Reinforcement Learning
  • Model-Based Reinforcement Learning
  • Deep Reinforcement Learning
  • 6.7. Global Generative AI in Chip Design Market, Sub-Segmentation Of Evolutionary Algorithms, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Genetic Algorithms
  • Genetic Programming
  • Differential Evolution Algorithms
  • Evolution Strategies
  • 6.8. Global Generative AI in Chip Design Market, Sub-Segmentation Of Deep Learning Models, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Convolutional Neural Networks (CNNs)
  • Recurrent Neural Networks (RNNs)
  • Transformer Models
  • Multilayer Perceptrons (MLPs)
  • 6.9. Global Generative AI in Chip Design Market, Sub-Segmentation Of Other Types, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Bayesian Networks
  • Transfer Learning Models
  • Self-Organizing Maps
  • Other Emerging Models In Chip Design

7. Generative AI in Chip Design Market Regional And Country Analysis

  • 7.1. Global Generative AI in Chip Design Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global Generative AI in Chip Design Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Generative AI in Chip Design Market

  • 8.1. Asia-Pacific Generative AI in Chip Design Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific Generative AI in Chip Design Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Generative AI in Chip Design Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Generative AI in Chip Design Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Generative AI in Chip Design Market

  • 9.1. China Generative AI in Chip Design Market Overview
  • 9.2. China Generative AI in Chip Design Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Generative AI in Chip Design Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Generative AI in Chip Design Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Generative AI in Chip Design Market

  • 10.1. India Generative AI in Chip Design Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Generative AI in Chip Design Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Generative AI in Chip Design Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Generative AI in Chip Design Market

  • 11.1. Japan Generative AI in Chip Design Market Overview
  • 11.2. Japan Generative AI in Chip Design Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Generative AI in Chip Design Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Generative AI in Chip Design Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Generative AI in Chip Design Market

  • 12.1. Australia Generative AI in Chip Design Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Generative AI in Chip Design Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Generative AI in Chip Design Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Generative AI in Chip Design Market

  • 13.1. Indonesia Generative AI in Chip Design Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Generative AI in Chip Design Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Generative AI in Chip Design Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Generative AI in Chip Design Market

  • 14.1. South Korea Generative AI in Chip Design Market Overview
  • 14.2. South Korea Generative AI in Chip Design Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Generative AI in Chip Design Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Generative AI in Chip Design Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Generative AI in Chip Design Market

  • 15.1. Western Europe Generative AI in Chip Design Market Overview
  • 15.2. Western Europe Generative AI in Chip Design Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Generative AI in Chip Design Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Generative AI in Chip Design Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Generative AI in Chip Design Market

  • 16.1. UK Generative AI in Chip Design Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Generative AI in Chip Design Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Generative AI in Chip Design Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Generative AI in Chip Design Market

  • 17.1. Germany Generative AI in Chip Design Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Generative AI in Chip Design Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Generative AI in Chip Design Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Generative AI in Chip Design Market

  • 18.1. France Generative AI in Chip Design Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Generative AI in Chip Design Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Generative AI in Chip Design Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Generative AI in Chip Design Market

  • 19.1. Italy Generative AI in Chip Design Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Generative AI in Chip Design Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Generative AI in Chip Design Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Generative AI in Chip Design Market

  • 20.1. Spain Generative AI in Chip Design Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Generative AI in Chip Design Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Generative AI in Chip Design Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Generative AI in Chip Design Market

  • 21.1. Eastern Europe Generative AI in Chip Design Market Overview
  • 21.2. Eastern Europe Generative AI in Chip Design Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Generative AI in Chip Design Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Generative AI in Chip Design Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Generative AI in Chip Design Market

  • 22.1. Russia Generative AI in Chip Design Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Generative AI in Chip Design Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Generative AI in Chip Design Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Generative AI in Chip Design Market

  • 23.1. North America Generative AI in Chip Design Market Overview
  • 23.2. North America Generative AI in Chip Design Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Generative AI in Chip Design Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Generative AI in Chip Design Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Generative AI in Chip Design Market

  • 24.1. USA Generative AI in Chip Design Market Overview
  • 24.2. USA Generative AI in Chip Design Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Generative AI in Chip Design Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Generative AI in Chip Design Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Generative AI in Chip Design Market

  • 25.1. Canada Generative AI in Chip Design Market Overview
  • 25.2. Canada Generative AI in Chip Design Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Generative AI in Chip Design Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Generative AI in Chip Design Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Generative AI in Chip Design Market

  • 26.1. South America Generative AI in Chip Design Market Overview
  • 26.2. South America Generative AI in Chip Design Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Generative AI in Chip Design Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Generative AI in Chip Design Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Generative AI in Chip Design Market

  • 27.1. Brazil Generative AI in Chip Design Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Generative AI in Chip Design Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Generative AI in Chip Design Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Generative AI in Chip Design Market

  • 28.1. Middle East Generative AI in Chip Design Market Overview
  • 28.2. Middle East Generative AI in Chip Design Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Generative AI in Chip Design Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Generative AI in Chip Design Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Generative AI in Chip Design Market

  • 29.1. Africa Generative AI in Chip Design Market Overview
  • 29.2. Africa Generative AI in Chip Design Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Generative AI in Chip Design Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Generative AI in Chip Design Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Generative AI in Chip Design Market Competitive Landscape And Company Profiles

  • 30.1. Generative AI in Chip Design Market Competitive Landscape
  • 30.2. Generative AI in Chip Design Market Company Profiles
    • 30.2.1. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. Intel Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. Qualcomm Incorporated Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. NVIDIA Corporation Overview, Products and Services, Strategy and Financial Analysis

31. Generative AI in Chip Design Market Other Major And Innovative Companies

  • 31.1. Advanced Micro Devices
  • 31.2. Texas Instruments Incorporated
  • 31.3. MediaTek Inc.
  • 31.4. Renesas Electronics Corporation
  • 31.5. Synopsys Inc.
  • 31.6. Marvell Technology Inc.
  • 31.7. Cadence Design Systems Inc.
  • 31.8. Altair Engineering
  • 31.9. Tenstorrent Inc.
  • 31.10. Silvaco Group Inc.
  • 31.11. Cerebras Systems Inc.
  • 31.12. Graphcore Limited
  • 31.13. SambaNova Systems
  • 31.14. Mythic AI
  • 31.15. Syntiant Corp.

32. Global Generative AI in Chip Design Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Generative AI in Chip Design Market

34. Recent Developments In The Generative AI in Chip Design Market

35. Generative AI in Chip Design Market High Potential Countries, Segments and Strategies

  • 35.1 Generative AI in Chip Design Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Generative AI in Chip Design Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Generative AI in Chip Design Market In 2029 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer