How Has the Generative AI in Chip Design Market Evolved Historically and What is its Current Size?
The generative ai in chip design market has seen considerable growth due to a variety of factors.
• The generative AI in chip design market has grown rapidly in recent years. It will increase from $0.2 billion in 2024 to $0.26 billion in 2025, reflecting a compound annual growth rate (CAGR) of 32.3%.
This growth is due to the demand for faster, more efficient chips, the complexity of semiconductor designs, advancements in AI technology, and increased data availability and computational power.
What Is The Projected Growth Of The Generative AI in Chip Design Template Market?
The generative ai in chip design market is expected to maintain its strong growth trajectory in upcoming years.
• The generative AI in chip design market is expected to witness exponential growth, reaching $0.78 billion by 2029, with a CAGR of 31.9%.
This growth can be attributed to the continued demand for high-performance chips, a focus on improving design efficiency and productivity, and a rising need for specialized and customized chips. Trends in the forecast period include improvements in model efficiency, development of domain-specific models, integration with design automation tools, multi-objective optimization, and a focus on regulatory and ethical considerations.
What Are The Key Drivers Fueling Growth In The Generative AI in Chip Design Market?
The rising demand for automotive applications is expected to propel the growth of the generative AI in chip design market. The automotive industry is evolving with the increasing need for advanced safety features, connectivity, and sustainability. Generative AI in chip design optimizes semiconductor architecture for automotive applications like autonomous driving and energy-efficient vehicle electronics. According to the European Automobile Manufacturers Association, global vehicle production reached 85.4 million units in 2022, contributing to the growth of generative AI in chip design.
What Are The Principal Market Segments In The Global Generative AI in Chip Design Industry?
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
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
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What Trends Are Shaping The Generative AI in Chip Design Market?
Major players in the generative AI in chip design market are focusing on advanced solutions like generative AI-based copilots to meet the rising demand for high-performance, energy-efficient computing. A generative AI-based copilot is an AI system that helps users by providing suggestions, solutions, or content based on context and input. For instance, in November 2023, Synopsys Inc., a US-based electronic design automation company, launched Synopsys.ai Copilot. This AI tool integrates Microsoft Azure OpenAI Service to speed up chip design by enhancing collaboration, providing conversational intelligence, and utilizing generative capabilities in natural language.
Who Are the Key Players In The Generative AI in Chip Design Market?
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.
What Are The Regional Insights Into 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.
