Dublin, Sept. 23, 2024 (GLOBE NEWSWIRE) -- The "Generative AI Chipset Market Size, Share & Trends Analysis Report By Chipset Type (CPU, GPU, FPGA, ASIC), By Application (Machine Learning, Deep Learning, Reinforcement Learning), By End-use, By Region, And Segment Forecasts, 2024 - 2030" report has been added to ResearchAndMarkets.com's offering.
The global generative AI chipset market size was estimated at USD 37.26 billion in 2023 and is projected to grow at a CAGR of 32.0% from 2024 to 2030
The market is primarily driven by the increasing demand for AI-powered applications across industries, coupled with the need for faster and more efficient AI processing capabilities. The growth of cloud and edge computing is fueling the requirement for AI acceleration in both data centers and edge devices.
Advancements in AI algorithms, which are becoming increasingly complex, necessitate more powerful hardware. The need for real-time processing in applications like autonomous vehicles and robotics, along with a focus on energy efficiency, further accelerates the demand for specialized AI chipsets designed to meet these evolving requirements.
The market is witnessing a shift towards specialized AI architectures, with companies developing custom chip designs optimized for specific AI workloads, including generative AI tasks. There's a growing focus on energy efficiency, as developers strive to create chips that can perform AI tasks with lower power consumption. Integration of AI accelerators into broader system-on-chip (SoC) designs is becoming more common. The market is also seeing increased competition between established players and innovative startups, each bringing unique approaches to AI chip design.
Advanced manufacturing processes are being leveraged to improve chip performance, while there's an increased emphasis on building security and privacy features directly into AI chipsets. The rise of domain-specific accelerators, designed for particular AI applications like natural language processing or computer vision, is becoming more prevalent. These trends collectively reflect the market's response to the growing sophistication and diversification of AI applications, particularly in the realm of generative AI.
Another notable trend is the use of AI in designing and optimizing chipsets, leading to more efficient hardware. The market is also seeing increased collaboration among chipset manufacturers, software developers, and AI researchers, fostering innovation and compatibility with modern AI frameworks. Regulatory and ethical considerations are influencing the development of secure and privacy-focused chipsets, while significant investments in R&D continue to drive innovation in next-generation AI chipsets.
Companies Featured
- Advanced Micro Devices, Inc.
- Apple Inc.
- Arm Holdings plc
- Broadcom Inc.
- Cerebras Systems
- Google Inc.
- Graphcore
- Intel Corporation
- Micron Technology, Inc.
- Mythic AI
- NVIDIA Corporation
- Qualcomm Technologies, Inc.
- Xilinx Inc.
Key Topics Covered:
Chapter 1. Methodology and Scope
1.1. Market Segmentation and Scope
1.2. Market Definitions
1.3. Research Methodology
1.4. Research Scope and Assumptions
Chapter 2. Executive Summary
2.1. Market Outlook
2.2. Segment Outlook
2.3. Competitive Insights
Chapter 3. Generative AI Chipset Market Variables, Trends, & Scope
3.1. Market Introduction/Lineage Outlook
3.2. Market Dynamics
3.2.1. Market Drivers Analysis
3.2.2. Market Restraints Analysis
3.2.3. Industry Opportunities
3.2.4. Industry Challenges
3.3. Generative AI Chipset Market Analysis Tools
3.3.1. Porter's Five Forces Analysis
3.3.2. PESTEL Analysis
Chapter 4. Generative AI Chipset Market: Chipset Type Estimates & Trend Analysis
4.1. Segment Dashboard
4.2. Generative AI Chipset Market: Chipset Type Movement Analysis, USD Billion, 2023 & 2030
4.3. CPU
4.4. GPU
4.5. FPGA
4.6. ASIC
4.7. Others
Chapter 5. Generative AI Chipset Market: Application Estimates & Trend Analysis
5.1. Segment Dashboard
5.2. Generative AI Chipset Market: Application Movement Analysis, USD Billion, 2023 & 2030
5.3. Machine Learning
5.4. Deep Learning
5.5. Reinforcement Learning
5.6. Generative Adversarial Networks (GANs)
5.7. Natural Language Understanding (NLU)
Chapter 6. Generative AI Chipset Market: End Use Estimates & Trend Analysis
6.1. Segment Dashboard
6.2. Generative AI Chipset Market: End Use Movement Analysis, USD Billion, 2023 & 2030
6.3. Consumer Electronics
6.4. Automotive
6.5. Healthcare
6.6. Retail
6.7. Manufacturing
6.8. Banking, Financial Services, and Insurance (BFSI)
6.9. Telecommunication
6.10. Others (Energy, Government, etc.)
Chapter 7. Generative AI Chipset Market: Regional Estimates & Trend Analysis
7.1. Generative AI Chipset Market Share, By Region, 2023 & 2030, USD Billion
Chapter 8. Competitive Landscape
8.1. Recent Developments & Impact Analysis by Key Market Participants
8.2. Company Categorization
8.3. Company Market Positioning
8.4. Company Heat Map Analysis
8.5. Strategy Mapping
8.5.1. Expansion
8.5.2. Mergers & Acquisition
8.5.3. Partnerships & Collaborations
8.5.4. New Product Launches
8.5.5. Research And Development
8.6. Company Profiles
8.6.1. Participant's Overview
8.6.2. Financial Performance
8.6.3. Product Benchmarking
8.6.4. Recent Developments
For more information about this report visit https://www.researchandmarkets.com/r/70y3pl
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