Artificial Intelligence (AI) Accelerator Market Size to Grow USD 54760 Million by 2030 at a CAGR of 22.6% | Valuates Reports

BANGALORE, India, Aug. 6, 2025 /PRNewswire/ --

What is the Market Size of the AI Accelerator Market?

The Global Artificial Intelligence (AI) Accelerator Market was valued at US$ 11530 million in 2023 and is anticipated to reach US$ 54760 million by 2030, witnessing a CAGR of 22.6% during the forecast period 2024-2030.

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What Are the Key Factors Driving the Growth of the AI Accelerator Market?

• Rising Demand for High-Performance Computing – AI-driven applications in data centers, autonomous vehicles, edge devices, and healthcare require faster, more powerful processing capabilities.
• Expanding Application Scope – AI accelerators are increasingly used across diverse industries, from autonomous driving to medical diagnostics.
• Diverse Market Players – A competitive mix of established semiconductor giants and innovative startups fuels innovation.
• Advancements in AI Technologies – Progress in deep learning and real-time processing drives demand for specialized, energy-efficient, and scalable hardware.
• Strategic Collaborations – Partnerships between technology firms and research institutions accelerate product development.
• Increased R&D Investments – Companies are investing heavily to enhance performance, reduce power consumption, and develop application-specific accelerators.
• Vertical-Specific AI Solutions – Growth in demand for accelerators tailored to specific industries and use cases.

Source: Valuates Reports AI Accelerator Market

Emerging AI Accelerator Market Trends

1. FPGA-Based AI Accelerators Driving Edge and Data Center Adoption

• Reconfigurable hardware for adapting to diverse AI workloads.
• Parallel processing capabilities for high-throughput, low-latency tasks like image recognition and signal processing.
• Lower power consumption than traditional GPUs and CPUs.
• Supports scalable AI deployment in both data centers and edge devices.

2. ASICs and TPUs Powering Hyperscale AI Processing

• Application-Specific Integrated Circuits (ASICs) and Tensor Processing Units (TPUs) designed for deep learning training and inference.
• Deliver maximum performance with energy efficiency for narrow, high-intensity workloads.
• Widely used in cloud AI infrastructure by companies like Google, Amazon, and Apple.
• Driving edge-to-cloud AI capabilities for faster and more efficient AI services.

3. Automotive AI Accelerators Enabling Autonomous and Connected Vehicles

• Power ADAS, autonomous navigation, and in-vehicle AI infotainment.
• Handle massive sensor data from LiDAR, cameras, and radar with real-time processing.
• Automotive-grade AI chips ensure safety, reliability, and low latency.

4. High-Throughput AI Accelerators Managing Explosive Data Growth

• Optimized for IoT data processing, social media analytics, and big data AI workloads.
• Deliver real-time analytics for decision-making in enterprises and edge computing.

5. AI Accelerators Revolutionizing Healthcare AI Applications

• Power diagnostic imaging, genomics, and patient monitoring systems.
• Enable faster image classification and predictive analytics for improved treatment planning.
• Reduce human error while enhancing medical AI accuracy.

6. Edge AI Accelerators in Smart Devices

• Embedded in smartphones, drones, surveillance systems, and wearables.
• Support real-time inference without cloud dependency for privacy and energy efficiency.

7. Commercial AI Accelerator Adoption Across Industries

• Used in finance, retail, logistics, and telecom for real-time automation.
• Reduce operational costs while enhancing processing speeds.

What are the major product types in the AI Accelerator market?

• Graphics Processing Units (GPUs)
• Tensor Processing Units (TPUs)
• Field-Programmable Gate Arrays (FPGAs)
• Application-Specific Integrated Circuits (ASICs)
• Neural Processing Units (NPUs)

What are the main applications of the AI Accelerator market?

• Automotive
• Healthcare
• Manufacturing
• Agriculture
• Cyber Security
• Government

Frequently Asked Question (FAQ)

Q: Which region leads the AI Accelerator market and why?

A: North America dominates due to its strong AI R&D ecosystem, major semiconductor manufacturers, and public–private partnerships. Asia-Pacific is rapidly catching up, driven by aggressive AI adoption in consumer electronics and automotive sectors.

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What are some related markets to the AI Accelerator Market?

-          AI Training Accelerator Card Market

-          Copper Foil for AI Accelerator market was valued at US$ 138 million in 2023 and is anticipated to reach US$ 1086 million by 2030, witnessing a CAGR of 31.3% during the forecast period 2024-2030.

-          Automotive AI Accelerator Market

-          Programmable AI Accelerator Market

-          Data Center AI Accelerator Market

-          Data Center AI Accelerator Chip Market

-          Cloud AI Accelerator Market

-          AI Accelerator Chip Market

-          Artificial Intelligence (AI) Accelerator Card Market

-          PCIe AI Accelerator Card Market

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