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Generative AI In Chip Design Global Market Report 2025
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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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