세계의 칩 설계용 생성형 AI 시장 보고서(2025년)
Generative AI In Chip Design Global Market Report 2025
상품코드 : 1704443
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 200 Pages
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한글목차

칩 설계 분야의 생성형 AI 시장 규모는 향후 수년간 연평균 성장률(CAGR) 31.9%로 2029년 7억 8,000만 달러에 달할 것으로 예상됩니다. 예측 기간 중의 성장은 고성능 칩에 대한 지속적인 수요, 설계 효율성과 생산성에 대한 중요성, 맞춤형 특수 칩에 대한 수요 증가에 기인합니다. 예측 기간의 주요 동향으로는 모델 효율성 향상, 도메인 특화 모델 개발, 설계 자동화 툴과의 통합, 다목적 최적화, 규제 및 윤리성 고려 등을 들 수 있습니다.

차량용 용도 수요 증가는 칩 설계용 생성형 AI 시장의 향후 성장을 촉진할 것입니다. 자동차는 설계, 시장 개발, 제조, 마케팅, 판매 등 자동차와 관련된 모든 측면을 포함합니다. 자동차의 생성형 AI 용도는 자동차를 강화하고, 운전 경험을 개선하고, 안전성을 높이고, 운영을 최적화하는 것을 목표로 합니다. 소비자들이 자동차에 첨단 안전 기능, 커넥티비티, 지속가능성, 편의성을 기대하는 가운데 자동차 판매는 증가 추세에 있습니다. 칩 설계용 생성형 AI는 첨단운전자보조시스템(ADAS), 자율주행 및 에너지 효율적인 차량용 전자장비를 위한 반도체 아키텍처의 최적화에 중요한 역할을 하고 있습니다. 예를 들어 2023년 5월 유럽자동차산업협회 자료에 따르면 2022년 세계 자동차 생산량은 8,540만 대에 달하고, 2021년 대비 5.7% 증가할 것으로 예상됩니다. 그 결과, 차량용 용도 수요 증가는 칩 설계의 생성형 AI 시장 확대를 촉진하고 있습니다.

칩 설계의 생성형 AI 시장의 주요 업체들은 고성능, 에너지 효율적인 컴퓨팅 솔루션에 대한 수요 증가에 대응하기 위해 생성형 AI 기반 코파일럿과 같은 기술적으로 진보된 솔루션 개발에 주력하고 있습니다. 생성형 AI 기반 코파일럿은 컨텍스트와 사용자 입력을 기반으로 컨텐츠, 제안, 솔루션을 생성하여 사용자를 지원하는 인공지능 시스템입니다. 예를 들어 미국의 전자 설계 자동화 기업 시놉시스(Synopsys Inc.)는 2023년 11월 칩 설계를 가속화하는 획기적인 생성형 인공지능(GenAI) 기능을 갖춘 툴 시놉시스(Synopsys.ai Copilot)를 발표했습니다. 이 혁신적인 툴은 Microsoft Azure OpenAI Service를 통합하여 Microsoft Azure 기능 내에서 OpenAI의 대규모 언어 모델(LLM)에 대한 액세스를 제공합니다. 이 툴은 설계 팀 간의 자연 언어 대화형 인텔리전스 및 생성 기능을 통해 칩 설계 프로세스를 강화합니다.

목차

제1장 개요

제2장 시장의 특징

제3장 시장 동향과 전략

제4장 시장 - 금리, 인플레이션, 지정학, 신형 코로나바이러스 및 경기회복이 시장에 미치는 영향을 포함한 거시경제 시나리오

제5장 세계의 성장 분석과 전략 분석 프레임워크

제6장 시장 세분화

제7장 지역별·국가별 분석

제8장 아시아태평양 시장

제9장 중국 시장

제10장 인도 시장

제11장 일본 시장

제12장 호주 시장

제13장 인도네시아 시장

제14장 한국 시장

제15장 서유럽 시장

제16장 영국 시장

제17장 독일 시장

제18장 프랑스 시장

제19장 이탈리아 시장

제20장 스페인 시장

제21장 동유럽 시장

제22장 러시아 시장

제23장 북미 시장

제24장 미국 시장

제25장 캐나다 시장

제26장 남미 시장

제27장 브라질 시장

제28장 중동 시장

제29장 아프리카 시장

제30장 경쟁 구도와 기업 개요

제31장 기타 대기업과 혁신적 기업

제32장 세계의 시장 경쟁 벤치마킹과 대시보드

제33장 주요 합병과 인수

제34장 최근 시장 동향

제35장 시장의 잠재력이 높은 국가, 부문, 전략

제36장 부록

KSA
영문 목차

영문목차

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.

Reasons to Purchase

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 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.

Scope

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

6. Generative AI in Chip Design Market Segmentation

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

8. Asia-Pacific Generative AI in Chip Design Market

9. China Generative AI in Chip Design Market

10. India Generative AI in Chip Design Market

11. Japan Generative AI in Chip Design Market

12. Australia Generative AI in Chip Design Market

13. Indonesia Generative AI in Chip Design Market

14. South Korea Generative AI in Chip Design Market

15. Western Europe Generative AI in Chip Design Market

16. UK Generative AI in Chip Design Market

17. Germany Generative AI in Chip Design Market

18. France Generative AI in Chip Design Market

19. Italy Generative AI in Chip Design Market

20. Spain Generative AI in Chip Design Market

21. Eastern Europe Generative AI in Chip Design Market

22. Russia Generative AI in Chip Design Market

23. North America Generative AI in Chip Design Market

24. USA Generative AI in Chip Design Market

25. Canada Generative AI in Chip Design Market

26. South America Generative AI in Chip Design Market

27. Brazil Generative AI in Chip Design Market

28. Middle East Generative AI in Chip Design Market

29. Africa Generative AI in Chip Design Market

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

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

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

36. Appendix

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