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市场调查报告书
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1704443

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 200 Pages | 商品交期: 2-10个工作天内

价格
简介目录

预计未来几年晶片设计中生成式人工智慧的市场规模将呈指数级增长。到 2029 年，这一数字将成长至 7.8 亿美元，年复合成长率（CAGR）为 31.9%。预测期内的成长归因于对高性能晶片的持续需求、对设计效率和生产力的重视以及对客製化和专用晶片的需求不断增加。预测期内的关键趋势包括提高模型效率、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、监管和道德考量。

车载应用需求的不断增长将推动晶片设计中生成式人工智慧市场的未来成长。汽车包括与汽车相关的所有方面，例如设计、市场开发、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汽车性能、改善驾驶体验、提高安全性并优化操作。由于消费者期望汽车具有先进的安全功能、连接性、永续性和便利性，汽车销售正在上升。晶片设计中的生成式人工智慧在优化 ADAS（高级驾驶辅助系统）、自动驾驶和节能汽车电子产品的半导体架构方面发挥关键作用。例如，根据欧洲汽车工业协会2023年5月的资料，2022年全球汽车产量将达到8,540万辆，较2021年成长5.7%。因此，汽车应用需求的不断增长正在推动晶片设计中生成式人工智慧市场的扩张。

晶片设计市场中的生成式人工智慧的关键参与者正专注于开发基于生成式人工智慧的副驾驶等技术先进的解决方案，以满足对高效能和节能运算解决方案日益增长的需求。基于生成式人工智慧的副驾驶是一种人工智慧系统，它透过根据上下文和用户输入生成内容、提案和解决方案来协助用户。例如，2023 年 11 月，美国电子设计自动化公司新思科技 (Synopsys Inc.) 宣布推出 Synopsys.ai Copilot，这是一款具有突破性生成人工智慧 (GenAI) 功能的工具，可加速晶片设计。此创新工具整合了 Microsoft Azure OpenAI 服务，可在 Microsoft Azure 的强大功能范围内存取 OpenAI 的大规模语言模型 (LLM)。该工具透过自然语言对话智慧和设计团队之间的生成能力增强了晶片设计流程。

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、感染疾病、地缘政治、新冠疫情、经济復苏对市场的影响

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）
  • 最终用途产业分析
  • 全球晶片设计生成人工智慧市场：成长率分析
  • 全球晶片设计生成人工智慧市场表现：规模与成长，2019-2024
  • 全球晶片设计生成人工智慧市场预测：规模与成长，2024-2029 年，2034 年
  • 全球晶片设计中的生成式人工智慧总可寻址市场 (TAM)

第六章市场区隔

  • 全球晶片设计生成人工智慧市场类型、效能及预测（2019-2024 年、2024-2029 年及 2034 年）
  • 生成对抗网络
  • 变分自动编码器
  • 强化学习
  • 演化演算法
  • 深度学习模型
  • 其他类型
  • 全球晶片设计中的生成式人工智慧市场：按部署、效能和预测，2019-2024 年、2024-2029 年、2034 年
  • 离线部署
  • 云端基础
  • 本地
  • 嵌入式
  • 杂交种
  • 全球晶片设计中的生成式人工智慧市场：按应用、效能和预测，2019-2024 年、2024-2029 年、2034 年
  • 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
  • 全球晶片设计生成人工智慧市场：生成对抗网路细分（按类型）、绩效及预测，2019-2024 年、2024-2029 年、2034 年
  • 香草 GAN
  • 条件GAN
  • 循环GAN
  • Wasserstein GAN
  • 全球晶片设计生成人工智慧市场变分自动编码器细分（按类型）、实际及预测，2019-2024 年、2024-2029 年、2034 年
  • 基础VAE
  • 条件VAE
  • Beta VAE
  • 分层VAE
  • 全球生成人工智慧市场强化学习在晶片设计细分领域（按类型）、表现及预测，2019-2024 年、2024-2029 年、2034 年
  • 无模型强化学习
  • 基于模型的强化学习
  • 深度强化学习
  • 全球晶片设计生成人工智慧市场依演化演算法类型、效能及预测细分，2019-2024 年、2024-2029 年、2034 年
  • 遗传演算法
  • 遗传程式设计
  • 差分进化演算法
  • 演化策略
  • 全球晶片设计深度学习模型细分领域的生成式人工智慧市场（按类型）、表现及预测，2019-2024 年、2024-2029 年、2034 年
  • 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）
  • 全球晶片设计生成人工智慧市场，按类型、实际和预测细分，2019-2024 年、2024-2029 年、2034 年
  • 贝氏网络
  • 迁移学习模型
  • 自组织映射
  • 晶片设计中的其他新兴模型

第七章 区域和国家分析

  • 全球晶片设计生成人工智慧市场：按地区、绩效及预测，2019-2024 年、2024-2029 年、2034 年
  • 全球晶片设计生成人工智慧市场：按国家、业绩及预测，2019-2024 年、2024-2029 年、2034 年

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20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30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
  • 晶片设计市场中的生成式人工智慧：公司简介
    • 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 其他大型创新企业

  • 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表板

第33章 重大併购

第34章近期市场趋势

第 35 章 高市场潜力国家、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：带来新机会领域
  • 2029 年晶片设计市场中的生成式人工智慧：成长策略
    • 基于市场趋势的策略
    • 竞争对手的策略

第36章 附录

简介目录
Product Code: r30304

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.

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 32.3%. 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 $0.78 billion in 2029 at a compound annual growth rate (CAGR) of 31.9%. 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 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? 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 Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

  • 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. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
  • 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
  • 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, Covid And Recovery On The Market

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