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Generative AI In Chip Design Market Size, Share, Regional Overview and Global Forecast To 2033
Generative AI In Chip Design Market Size
As per the report, 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 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%.
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Surging Demand For Automotive Applications Fuels Growth Of Generative AI In The Chip Design Market
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.
Advancements In Chip Design With Genai Capabilities
Major companies operating in the generative AI in chip design market are focusing on developing technologically advanced solutions, such as generative AI-based copilot, to meet the increasing 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, launched Synopsys.ai Copilot. This tool provides a breakthrough generative artificial intelligence (GenAI) capability for accelerating chip design. The 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.
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
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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.
Contents of the report:
1. Executive Summary
2. Generative AI In Chip Design Market Report Structure
3. Generative AI In Chip Design Market Trends And Strategies
4. Generative AI In Chip Design Market - Macro Economic Scenario
5. Generative AI In Chip Design Market Size And Growth
…..
27. Generative AI In Chip Design Market Competitor Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis
30. Appendix
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