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市场调查报告书
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1849305

2025年晶片设计中的生成式人工智慧全球市场报告

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个工作天内

价格
简介目录

近年来，晶片设计领域生成式人工智慧的市场规模迅速扩张，从2024年的2亿美元成长到2025年的2.6亿美元，复合年增长率达31.8%。这一成长主要受以下因素驱动：对速度更快、效率更高的晶片的需求、半导体设计日益复杂的趋势、人工智慧技术的快速发展以及数据可用性和运算能力的不断提升。

预计未来几年，晶片设计领域生成式人工智慧的市场规模将呈指数级增长，到2029年将达到7.2亿美元，复合年增长率（CAGR）为29.3%。预测期间的成长主要受以下因素驱动：对高效能晶片的持续需求、对设计效率和生产力的重视，以及对客製化和专用晶片日益增长的需求。预测期内的关键趋势包括：模型效率的提升、特定领域的模型开发、与设计自动化工具的整合、多目标最佳化以及监管和伦理方面的考量。

未来五年29.3%的预测成长率较我们先前对该市场的预测略微下降了0.5%。这一下降主要归因于美国与其他国家之间的关税影响。雷射雷达系统、嵌入式处理器和导航晶片等组件（这些组件通常来自受关税影响的国家）的关税可能会减缓生成式人工智慧在自动驾驶汽车中的应用。此外，由于相互关税以及贸易紧张局势和限制措施升级对全球经济和贸易造成的负面影响，这种影响也将更加广泛。

预计汽车应用需求的成长将推动晶片设计领域生成式人工智慧市场的未来成长。汽车产业涵盖与汽车相关的所有方面，包括设计、上市、製造、行销和销售。汽车领域的生成式人工智慧应用旨在增强车辆性能、改善驾驶体验、提高安全性并优化营运。随着消费者对车辆的先进安全功能、互联性、永续性和便利性的期望不断提高，汽车销售量也持续成长。晶片设计领域的生成式人工智慧在优化用于高级驾驶辅助系统 (ADAS)、自动驾驶和节能型车载电子设备的半导体架构方面发挥关键作用。例如，根据欧洲汽车製造商协会 (EAA) 2023 年 5 月的数据，预计 2022 年全球汽车产量将达到 8,540 万辆，比 2021 年成长 5.7%。因此，汽车应用需求的成长正在推动晶片设计领域生成式人工智慧市场的扩张。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 市场：宏观经济情景，包括利率、通货膨胀、地缘政治、贸易战和关税，以及新冠疫情及其復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球晶片设计中的生成式人工智慧：PESTEL 分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
  • 终端用户产业分析
  • 全球晶片设计领域生成式人工智慧市场：成长率分析
  • 全球晶片设计领域生成式人工智慧市场表现：规模与成长，2019-2024年
  • 全球晶片设计领域生成式人工智慧市场预测：规模与成长，2024-2029年，2034年预测
  • 全球晶片设计领域生成式人工智慧：潜在市场规模 (TAM)

第六章 市场细分

  • 全球晶片设计领域生成式人工智慧市场：按类型划分，实际结果与预测，2019-2024年、2024-2029年预测、2034年预测
  • 生成对抗网络
  • 变分自编码器
  • 强化学习
  • 演化演算法
  • 深度学习模型
  • 其他类型
  • 全球晶片设计领域生成式人工智慧市场：按部署情况、实际结果和预测（2019-2024 年、2024-2029 年预测、2034 年预测）划分
  • 离线部署
  • 云端基础的
  • 本地部署
  • 嵌入式
  • 杂交种
  • 全球晶片设计领域生成式人工智慧市场：按应用划分，实际结果与预测，2019-2024年、2024-2029年预测、2034年预测
  • 逻辑设计
  • 实体设计
  • 类比和混合讯号设计
  • 功率最佳化
  • 设计检验
  • 其他用途
  • 全球晶片设计领域生成式人工智慧市场：依生成对抗网路（类型）细分，实际值及预测值（2019-2024 年、2024-2029 年预测值、2034 年预测值）
  • 香草 GAN
  • 条件生成对抗网路（Conditional GAN）
  • 循环生成对抗网络
  • Wasserstein GAN
  • 全球晶片设计领域生成式人工智慧市场：细分市场－变分自编码器，依类型划分，实际值及预测值，2019-2024年、2024-2029年预测值、2034年预测值
  • 基本 VAE
  • 条件性VAE
  • β-VAE
  • 分层 VAE
  • 全球晶片设计领域生成式人工智慧市场：依强化学习类型细分，实际值及预测值（2019-2024年、2024-2029年预测值、2034年预测值）
  • 无模型强化学习
  • 基于模型的强化学习
  • 深度强化学习
  • 全球晶片设计领域生成式人工智慧市场：依演化演算法（类型）、效能与预测细分，2019-2024年、2024-2029年预测、2034年预测
  • 遗传演算法
  • 基因程式设计
  • 差分进化演算法
  • 演化策略
  • 全球晶片设计领域生成式人工智慧市场：细分市场、深度学习模型类型、效能及预测（2019-2024年、2024-2029年预测、2034年预测）
  • 卷积类神经网路（CNN）
  • 循环神经网路（RNN）
  • 变压器模型
  • 多层感知器（MLP）
  • 全球晶片设计中的生成式人工智慧市场：其他细分市场（按类型划分），实际数据和预测数据，2019-2024年，2024-2029年预测，2034年预测
  • 贝氏网络
  • 迁移学习模型
  • 自组织映射
  • 晶片设计领域的其他新兴模型

第七章 区域和国家分析

  • 全球晶片设计领域生成式人工智慧市场：依地区划分，结果及预测，2019-2024年、2024-2029年预测、2034年预测
  • 全球晶片设计领域生成式人工智慧市场：按国家/地区划分，实际结果和预测，2019-2024 年、2024-2029 年预测、2034 年预测

第八章 亚太市场

第九章：中国市场

第十章 印度市场

第十一章 日本市场

第十二章：澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章 西欧市场

第十六章英国市场

第十七章：德国市场

第十八章：法国市场

第十九章：义大利市场

第二十章：西班牙市场

第21章 东欧市场

第22章 俄罗斯市场

第23章 北美市场

第24章美国市场

第25章：加拿大市场

第26章 南美洲市场

第27章：巴西市场

第28章 中东市场

第29章：非洲市场

第三十章：竞争格局与公司概况

  • 晶片设计中的生成式人工智慧：竞争格局
  • 晶片设计中的生成式人工智慧市场：公司概况
    • 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：其他领先和创新企业

  • 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 全球市场竞争基准化分析与仪錶板

第33章 重大併购

第34章 近期市场趋势

第35章：高潜力市场国家、细分市场与策略

  • 2029年晶片设计中的生成式人工智慧：提供新机会的国家
  • 2029 年晶片设计中的生成式人工智慧：充满新机会的细分领域
  • 2029 年晶片设计中的生成式人工智慧：成长策略
    • 基于市场趋势的策略
    • 竞争对手策略

第36章附录

简介目录
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.

Reasons to Purchase

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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