Global Generative AI in Chip Design Market Report 2024

The generative AI In chip design market size has grown exponentially in recent years. It will grow from $0.15 billion in 2023 to $0.2 billion in 2024 at a compound annual growth rate (CAGR) of 31.7%. The growth observed in the historical period can be attributed to several factors including the increasing demand for faster and more efficient chips, the growing complexity of semiconductor designs, rapid advancements in AI technology, and the expanding availability of data coupled with enhanced 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 $0.59 billion in 2028 at a compound annual growth rate (CAGR) of 32%. The forecast period's growth is expected to be fueled by the sustained demand for high-performance chips, a heightened focus on design efficiency and productivity, and a rising need for customized and specialized chip solutions. Key trends anticipated in the forecast period encompass advancements in model efficiency, the development of domain-specific models, integration with design automation tools, multi-objective optimization approaches, and increased attention to regulatory and ethical considerations within the field.

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 2023. 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.

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 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 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.


This product will be delivered within 3-5 business days.