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Generative AI In Chip Design Market Share, Trend Analysis, Key Drivers, Size And Forecast To 2033

Generative AI In Chip Design Market

Generative AI In Chip Design Market

The Business Research Company has recently revised its global market reports, now incorporating the most current data for 2024 along with projections extending up to 2033.

Generative AI In Chip Design Global Market Report 2024 by The Business Research Company offers comprehensive market insights, empowering businesses with a competitive edge. It includes detailed estimates for numerous segments and sub-segments, providing valuable strategic guidance.

The Market Size Is Expected To Reach $0.59 billion In 2028 At A CAGR Of 32.0% :

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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Generative AI In Chip Design Market Major Segments
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

Key Driver - Rising Demand For Healthcare Facilities Drives Growth In The Per Diem Nurse Staffing 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.

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Prominent Trend - 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.

Generative AI In Chip Design Market 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.

View The Full Report Here - https://www.thebusinessresearchcompany.com/report/generative-ai-in-chip-design-global-market-report

Largest And Fastest Growing Region In The 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.

The Table Of Content For The Market Report Include:
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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