Generative AI In Chip Design Market Growth Outlook Through 2024-2033

Overview and Scope
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.

Sizing and Forecast
The generative AI In chip design market size has grown exponentially in recent years. It will grow from $0.15 billion in 2023 to $0.20 billion in 2024 at a compound annual growth rate (CAGR) of 31.7%. 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 $0.59 billion in 2028 at a compound annual growth rate (CAGR) of 32.0%. 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.

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Segmentation & Regional Insights
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

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.

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Major Driver Impacting Market Growth
Growing demand for automotive applications is expected to propel the growth of the generative AI in chip design market going forward. Automotive pertains to anything related to motor vehicles or automobiles. This includes designing, developing, manufacturing, marketing, and selling motor vehicles. Generative AI application in automotive refers to the various ways technologies are utilized within the automotive industry to improve vehicles, enhance driving experiences, increase safety, and optimize operations. Automobiles sales are increasing due to consumer expectations for advanced safety features, connectivity, sustainability, and convenience in vehicles driving. Generative AI in chip design enhances automotive applications by optimizing semiconductor architectures for advanced driver-assistance systems (ADAS), autonomous driving, and energy-efficient vehicle electronics. For instance, in May 2023, according to the European Automobile Manufacturers Association, a Belgium-based standard group, global motor vehicle production reached 85.4 million units in 2022, marking a 5.7% rise from 2021. Therefore, growing demand for automotive applications is driving the growth of the generative AI in chip design market.

Key Industry Players

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.

The generative ai in chip design market report table of contents includes:

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
5. Global Generative AI In Chip Design Market Size and Growth
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31. Generative AI In Chip Design Market Other Major And Innovative Companies
32. Global Generative AI In Chip Design Market Competitive Benchmarking
33. Global Generative AI In Chip Design Market Competitive Dashboard
34. Key Mergers And Acquisitions In The Generative AI In Chip Design Market
35. Generative AI In Chip Design Market Future Outlook and Potential Analysis
36.Appendix

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