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, /PRNewswire/ -- The AI Accelerator Chip Market is witnessing explosive growth as industries worldwide scale up adoption of Generative AI, natural language processing (NLP), autonomous systems, and advanced computer vision. According to DataM Intelligence, the AI Accelerator Chip Market Size reached US$ 28.59 billion in 2024 and is forecasted to hit US$ 283.13 billion by 2032, expanding at a CAGR of 33.19% between 2025 and 2032.
AI accelerator chips are specialized processors designed to handle complex machine learning and deep learning workloads at scale. These chips deliver high throughput, low latency, and energy efficiency-essential for training and inference in next-generation AI models.
The market is being propelled by:
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Surging demand for Generative AI tools such as ChatGPT, Gemini, and custom enterprise LLMs.
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AI integration in automotive for autonomous driving, driver-assist features, and in-vehicle intelligence.
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Healthcare innovation, where AI chips enable diagnostics, drug discovery, and precision medicine.
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Cloud and edge computing expansion, with hyperscalers embedding AI chips in global data centers.
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Browse in-depth TOC on "AI Accelerator Chip Market"
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Market Segmentation Analysis
By Chip Type
In 2024, GPUs dominated the market with revenues surpassing US$ 14 billion. Companies like NVIDIA and AMD lead this space, powering large-scale training models and inference workloads.
Application-Specific Integrated Circuits (ASICs), valued at US$ 7 billion in 2024, are expected to grow fastest, with Google's TPU and Amazon's Inferentia setting benchmarks in hyperscaler AI performance.
Field-Programmable Gate Arrays (FPGAs), contributing US$ 3.8 billion in 2024, continue to be preferred in prototyping and low-latency AI applications.
CPUs and other custom processors, valued collectively at US$ 3.7 billion, remain integral for hybrid architectures and legacy systems.
By Technology
Natural Language Processing (NLP) is projected to be the fastest-growing segment, valued at US$ 10 billion in 2024, as enterprises embed AI into conversational platforms and enterprise automation.
Computer Vision, at US$ 8.5 billion in 2024, is expanding rapidly in automotive, retail surveillance, and robotics.
Network security AI chips, worth US$ 5 billion, are essential for deep packet inspection and anomaly detection in cybersecurity.
By End-User
Consumer Electronics led with US$ 11 billion in 2024, dominated by AI-powered smartphones, smart devices, and wearables.