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チップ設計におけるジェネレーティブAIの世界市場レポート 2025年

Generative AI In Chip Design Global Market Report 2025


出版日
ページ情報
英文 200 Pages
納期
2~10営業日
カスタマイズ可能
適宜更新あり
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=146.08円
チップ設計におけるジェネレーティブAIの世界市場レポート 2025年
出版日: 2025年04月01日
発行: The Business Research Company
ページ情報: 英文 200 Pages
納期: 2~10営業日
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  • 概要
  • 目次
概要

チップ設計におけるジェネレーティブAI市場規模は、今後数年で飛躍的な成長が見込まれます。2029年の年間平均成長率(CAGR)は31.9%で、7億8,000万米ドルに成長します。予測期間の成長は、高性能チップへの継続的な需要、設計効率と生産性の重視、カスタマイズされた特殊チップへの需要の高まりに起因しています。予測期間における主な動向としては、モデル効率の向上、ドメインに特化したモデル開発、設計自動化ツールとの統合、多目的最適化、規制や倫理への配慮などが挙げられます。

車載アプリケーションの需要増加が、チップ設計におけるジェネレーティブAI市場の今後の成長を牽引します。自動車には、設計、市場開拓、製造、マーケティング、販売など、自動車に関連するあらゆる側面が含まれます。自動車におけるジェネレーティブAIアプリケーションは、自動車を強化し、運転体験を向上させ、安全性を高め、オペレーションを最適化することを目的としています。消費者が自動車に高度な安全機能、コネクティビティ、持続可能性、利便性を期待する中、自動車販売は増加傾向にあります。チップ設計におけるジェネレーティブAIは、ADAS(先進運転支援システム)、自律走行、およびエネルギー効率の高い車載エレクトロニクスのための半導体アーキテクチャの最適化において重要な役割を果たしています。例えば、2023年5月の欧州自動車工業会のデータによると、2022年の世界自動車生産台数は8,540万台に達し、2021年から5.7%増加しました。その結果、車載アプリケーションの需要拡大がチップ設計におけるジェネレーティブAI市場の拡大を後押ししています。

チップ設計におけるジェネレーティブAI市場の主なプレーヤーは、高性能でエネルギー効率の高いコンピューティング・ソリューションに対する需要の高まりに対応するため、ジェネレーティブAIベースのコパイロットなど、技術的に高度なソリューションの開発に注力しています。ジェネレーティブAIベースのコパイロットとは、コンテキストやユーザー入力に基づいてコンテンツや提案、ソリューションを生成し、ユーザーを支援する人工知能システムです。例えば、米国の電子設計自動化企業Synopsys Inc.は2023年11月、チップ設計を加速する画期的な生成型人工知能(GenAI)機能を備えたツールSynopsys.ai Copilotを発表しました。この革新的なツールは、Microsoft Azure OpenAI Serviceを統合し、Microsoft Azureの機能内でOpenAIの大規模言語モデル(LLM)へのアクセスを提供します。このツールは、設計チーム間の自然言語による会話型インテリジェンスと生成機能により、チップ設計プロセスを強化します。

目次

第1章 エグゼクティブサマリー

第2章 市場の特徴

第3章 市場動向と戦略

第4章 市場- 金利、インフレ、地政学、新型コロナウイルス感染症、そして景気回復が市場に与える影響を含むマクロ経済シナリオ

第5章 世界の成長分析と戦略分析フレームワーク

  • 世界チップ設計におけるジェネレーティブAI PESTEL分析(政治、社会、技術、環境、法的要因、促進要因と抑制要因)
  • 最終用途産業の分析
  • 世界のチップ設計におけるジェネレーティブAI市場:成長率分析
  • 世界のチップ設計におけるジェネレーティブAI市場の実績:規模と成長, 2019-2024
  • 世界のチップ設計におけるジェネレーティブAI市場の予測:規模と成長, 2024-2029, 2034F
  • 世界チップ設計におけるジェネレーティブAI総アドレス可能市場(TAM)

第6章 市場セグメンテーション

  • 世界のチップ設計におけるジェネレーティブAI市場:タイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
  • 生成的敵対ネットワーク
  • 変分オートエンコーダ
  • 強化学習
  • 進化アルゴリズム
  • ディープラーニングモデル
  • その他のタイプ
  • 世界のチップ設計におけるジェネレーティブAI市場:展開別、実績と予測, 2019-2024, 2024-2029F, 2034F
  • オフライン展開
  • クラウドベース
  • オンプレミス
  • 埋め込み
  • ハイブリッド
  • 世界のチップ設計におけるジェネレーティブAI市場:用途別、実績と予測, 2019-2024, 2024-2029F, 2034F
  • ロジック設計
  • 物理設計
  • アナログおよびミックスシグナル設計
  • 電力最適化
  • 設計検証
  • その他の用途
  • 世界のチップ設計におけるジェネレーティブAI市場生成的敵対ネットワークのサブセグメンテーション(タイプ別)、実績と予測, 2019-2024, 2024-2029F, 2034F
  • バニラGAN
  • 条件付きGAN
  • サイクルGAN
  • ワッサーシュタインGAN
  • 世界のチップ設計におけるジェネレーティブAI市場変分オートエンコーダのサブセグメンテーション(タイプ別)、実績と予測, 2019-2024, 2024-2029F, 2034F
  • 基本的なVAE
  • 条件付きVAE
  • ベータVAE
  • 階層型VAE
  • 世界のチップ設計におけるジェネレーティブAI市場強化学習のサブセグメンテーション(タイプ別)、実績と予測, 2019-2024, 2024-2029F, 2034F
  • モデルフリー強化学習
  • モデルベース強化学習
  • 深層強化学習
  • 世界のチップ設計におけるジェネレーティブAI市場進化アルゴリズムの種類別サブセグメンテーション、実績と予測, 2019-2024, 2024-2029F, 2034F
  • 遺伝的アルゴリズム
  • 遺伝的プログラミング
  • 差分進化アルゴリズム
  • 進化戦略
  • 世界のチップ設計におけるジェネレーティブAI市場ディープラーニングモデルのサブセグメンテーション(タイプ別)、実績と予測, 2019-2024, 2024-2029F, 2034F
  • 畳み込みニューラルネットワーク(CNN)
  • リカレントニューラルネットワーク(RNN)
  • トランスフォーマーモデル
  • 多層パーセプトロン(MLP)
  • 世界のチップ設計におけるジェネレーティブAI市場、その他のタイプのサブセグメンテーション、タイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
  • ベイジアンネットワーク
  • 転移学習モデル
  • 自己組織化マップ
  • チップ設計におけるその他の新興モデル

第7章 地域別・国別分析

  • 世界のチップ設計におけるジェネレーティブAI市場:地域別、実績と予測, 2019-2024, 2024-2029F, 2034F
  • 世界のチップ設計におけるジェネレーティブAI市場:国別、実績と予測, 2019-2024, 2024-2029F, 2034F

第8章 アジア太平洋市場

第9章 中国市場

第10章 インド市場

第11章 日本市場

第12章 オーストラリア市場

第13章 インドネシア市場

第14章 韓国市場

第15章 西欧市場

第16章 英国市場

第17章 ドイツ市場

第18章 フランス市場

第19章 イタリア市場

第20章 スペイン市場

第21章 東欧市場

第22章 ロシア市場

第23章 北米市場

第24章 米国市場

第25章 カナダ市場

第26章 南米市場

第27章 ブラジル市場

第28章 中東市場

第29章 アフリカ市場

第30章 競合情勢と企業プロファイル

  • チップ設計におけるジェネレーティブAI市場:競合情勢
  • チップ設計におけるジェネレーティブAI市場:企業プロファイル
    • 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 その他の大手企業と革新的企業

  • 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 世界の市場競合ベンチマーキングとダッシュボード

第33章 主要な合併と買収

第34章 最近の市場動向

第35章 市場の潜在力が高い国、セグメント、戦略

  • チップ設計におけるジェネレーティブAI市場2029:新たな機会を提供する国
  • チップ設計におけるジェネレーティブAI市場2029:新たな機会を提供するセグメント
  • チップ設計におけるジェネレーティブAI市場2029:成長戦略
    • 市場動向に基づく戦略
    • 競合の戦略

第36章 付録

目次
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