What Is The Definition Of The Global Generative AI In Chip Design Market?
Generative AI in chip design refers to the utilization of generative artificial intelligence (AI) techniques to assist in creating and optimizing computer chip designs. This technology is used to explore and generate novel chip architectures, optimize chip layouts for performance and power efficiency, and automate various stages of the chip design process, ultimately leading to faster development cycles and more efficient chip designs.
Generative AI In Chip Design Global Market Report 2024 provides data on the global generative ai in chip design market such as market size, growth forecasts, segments and geographies, competitive landscape including leading competitors’ revenues, profiles and market shares. The generative ai in chip design market report identifies opportunities and strategies based on market trends and leading competitors’ approaches.
What Are The Projections Exist For The Global Generative AI In Chip Design Market Size And Annual Growth Rates?
The market for generative AI in chip design has grown significantly, expanding from $0.15 billion in 2023 to $0.20 billion in 2024, with a CAGR of 31.7%. Growth in recent years has been fueled by demand for efficient chips, increasing complexity in semiconductor designs, rapid AI advancements, and greater computational power. The market is anticipated to grow to $0.59 billion in 2028, with a CAGR of 32.0%, due to persistent demand for high-performance chips, emphasis on design productivity, and the rise of customized chips. Emerging trends include improvements in model efficiency, domain-specific models, integration with design automation, multi-objective optimization, and addressing regulatory and ethical issues.
Which Key Drivers Are Propelling The Generative AI In Chip Design Market's Growth?
The growing demand for automotive applications is set to accelerate the development of generative AI in chip design. Automotive refers to activities related to motor vehicles, including their design, development, manufacturing, and sales. Generative AI applications in this field enhance vehicles, improve driving experiences, bolster safety, and streamline operations. Rising automobile sales, driven by consumer preferences for advanced safety features, connectivity, sustainability, and convenience, are also playing a significant role. Generative AI optimizes semiconductor designs for advanced driver-assistance systems, autonomous driving, and energy-efficient electronics. For instance, global motor vehicle production reached 85.4 million units in 2022, marking a 5.7% increase from 2021, according to the European Automobile Manufacturers Association. This growing automotive demand is propelling the adoption of generative AI in chip design.
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What Are The Key Segments Within The Global Generative AI In Chip Design Market?
The generative AI in chip design market covered in this report is segmented –
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
How Are New Trends Impacting The Size Of The Generative AI In Chip Design Market?
In the generative AI in chip design sector, leading companies are focusing on creating innovative solutions such as generative AI-based copilots to meet the growing demand for high-performance, energy-efficient computing solutions. A generative AI-based copilot is an AI system that assists users by suggesting or generating content and solutions based on input. For example, in November 2023, Synopsys Inc., a US electronic design automation company, introduced Synopsys.ai Copilot, an AI tool designed to accelerate chip design. The tool integrates Microsoft Azure's OpenAI Service, leveraging large language models (LLMs) to enhance chip design with conversational intelligence and generative capabilities, making the process more efficient for design teams.
Which Region Drives The Highest Growth In The Generative AI In Chip Design Market?
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.
