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Artificial Intelligence (AI) In Chip Design Market Forecast 2025-2034: Analysing Major Trends, Opportunities, and Growth Drivers

03-27-2025 06:13 AM CET | IT, New Media & Software

Press release from: The Business Research Company

Artificial Intelligence AI In Chip Design Market

Artificial Intelligence AI In Chip Design Market

Which drivers are expected to have the greatest impact on the over the artificial intelligence (ai) in chip design market's growth?
The rising demand for consumer electronics is expected to drive the growth of AI in the chip design market. Consumer electronics, including smartphones, televisions, laptops, and home appliances, are in high demand due to continuous technological innovation and increased reliance on digital devices. AI-based chip design enhances the performance of consumer electronics by optimizing hardware for AI applications, enabling faster and more intelligent devices. For instance, in May 2023, the Japan Electronics and Information Technology Industries Association reported that Japan's consumer electronics production reached 32,099 units in May 2023, an increase from 25,268 units in May 2022. This growing adoption of AI chips in consumer electronics is boosting the growth of AI in chip design.

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What is the future CAGR of the artificial intelligence (ai) in chip design market, and how will it impact industry expansion?
The artificial intelligence (AI) in chip design market has grown substantially in recent years. It is projected to expand from $2.56 billion in 2024 to $3.46 billion in 2025 at a CAGR of 35.0%. The historical growth has been driven by the rise of edge computing, the increasing adoption of cloud and edge computing, the emergence of neuromorphic computing, growing demand for advanced AI applications, increasing data traffic, and the trend toward autonomous vehicles.

The artificial intelligence (AI) in chip design market is expected to experience exponential growth, reaching $11.4 billion by 2029 at a CAGR of 34.7%. This expansion will be fueled by the rising adoption of AI in consumer electronics, the increasing application of AI in healthcare, greater investment in AI research and development, government funding and initiatives, and growing demand for AI-optimized chips. Key trends during the forecast period include advancements in machine learning and deep learning models, the integration of AI chips in IoT devices, quantum computing integration, customizable AI chips, and progress in computer vision technology.

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What are the most significant trends transforming the artificial intelligence (ai) in chip design market today?
AI chips are becoming increasingly important in the AI semiconductor market, with companies like Advanced Micro Devices Inc. developing specialized chips to support AI applications. In June 2024, AMD launched the MI325X AI accelerator, designed to enhance the performance of AI tasks in data centers, offering 35 times better performance than its predecessor in inference tasks crucial for generative AI.

Which key market segments comprise the artificial intelligence (ai) in chip design market and drive its revenue growth?
The artificial intelligence (AI) in chip design market covered in this report is segmented -

1) By Type: Hardware, Software
2) By Technology: Central Processing Units, Graphics Processing Units, Field Programmable Gate Arrays
3) By Application: Data Centers, Automotive, Consumer Electronics, Healthcare, Industrial Automation, Other Applications

Subsegments:
1) By Hardware: AI-Powered Chipsets, Graphics Processing Units (GPUs) For AI, Application-Specific Integrated Circuits (ASICs) for AI, Field-Programmable Gate Arrays (FPGAs) for AI, Tensor Processing Units (TPUs), AI-Optimized Server Hardware
2) By Software: AI Design Automation Tools (EDA Software), AI-Based Simulation and Testing Software, Machine Learning Algorithms for Chip Design, Hardware Description Language (HDL) with AI Integration, AI-Driven Chip Layout and Optimization Software, AI-Enabled Software for Performance Prediction and Analysis

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What regions are at the forefront of artificial intelligence (ai) in chip design market expansion?
North America was the largest region in the artificial intelligence (AI) in chip design market in 2024. The regions covered in the artificial intelligence (AI) in chip design market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

Who are the leading players fueling growth in the artificial intelligence (ai) in chip design market?
Major companies operating in the artificial intelligence (AI) in chip design market are Amazon Inc., Apple Inc., Alphabet Inc., Intel Corporation, IBM Corporation, Qualcomm Inc., NVIDIA Corporation, Advanced Micro Devices Inc. (AMD), HCL Technologies Limited, Microchip Technology Inc., Synopsys Inc., Cadence Design Systems Inc., Xilinx Inc., Arm Holdings PLC, Tessolve, SambaNova Systems Inc., Cerebras Systems Inc., Groq Inc., Mythic Inc., Rebellions Inc.

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What Is Covered In The Artificial Intelligence (AI) In Chip Design Global Market Report?

•Market Size Forecast: Examine the artificial intelligence (ai) in chip design market size across key regions, countries, product categories, and applications.
•Segmentation Insights: Identify and classify subsegments within the artificial intelligence (ai) in chip design market for a structured understanding.
•Key Players Overview: Analyze major players in the artificial intelligence (ai) in chip design market, including their market value, share, and competitive positioning.
•Growth Trends Exploration: Assess individual growth patterns and future opportunities in the artificial intelligence (ai) in chip design market.
•Segment Contributions: Evaluate how different segments drive overall growth in the artificial intelligence (ai) in chip design market.
•Growth Factors: Highlight key drivers and opportunities influencing the expansion of the artificial intelligence (ai) in chip design market.
•Industry Challenges: Identify potential risks and obstacles affecting the artificial intelligence (ai) in chip design market.
•Competitive Landscape: Review strategic developments in the artificial intelligence (ai) in chip design market, including expansions, agreements, and new product launches.

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