The AI Powered Storage Market is being driven by Exponential growth of unstructured data driven by AI and IoT
The AI Powered Storage Market is expected to grow at a CAGR of 25.3% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 64057.4 million. The AI-powered storage market is experiencing exponential growth and widespread adoption due to the increasing demand for generative artificial intelligence. The massive data requirements for training and fine-tuning large language models (LLMs) and diffusion models for image and video generation are revolutionizing enterprise storage strategies. This goes beyond the need for additional capacity; it signifies a paradigm shift towards storage systems that offer unprecedented levels of parallel performance, massive throughput, and low latency to prevent data starvation of costly GPU compute clusters. Traditional storage architectures, optimized for general-purpose enterprise workloads, are proving insufficient for the unique, highly parallel, and read-intensive access patterns of AI training.
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The market is segmented based on
According to Technavio, There are several factors that are causing the market to flourish during the forecast period, which are as follows:
However, the market also witnesses some limitations, which are as follows:
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Market Scope |
|
Report Coverage |
Details |
Page number |
235 |
Base year |
2024 |
Historic period |
2019-2023 |
Forecast period |
2025-2029 |
Growth momentum & CAGR |
Accelerate at a CAGR of 25.3% |
Market growth 2025-2029 |
USD 64057.4 million |
Market structure |
fragmentation |
YoY growth 2024-2025(%) |
24.1 |
Key countries |
US, China, Canada, India, Germany, UK, Japan, France, Brazil, and South Korea |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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The AI-powered storage market is experiencing significant growth due to the integration of advanced technologies such as machine learning models, deep learning algorithms, and neural network architectures. These technologies enable data center infrastructure to leverage hardware acceleration, parallel processing, and software-defined storage. Containerized storage and microservices architecture facilitate API integrations, while storage automation offers remote data access, data versioning, and data replication. Security is ensured through data backups, security audits, performance monitoring, capacity monitoring, cost tracking, and compliance regulations. Data recovery processes, system administration, capacity expansion, performance tuning, security hardening, data anonymization, and data masking are also crucial components of this market.
The AI-powered storage market encompasses businesses specializing in data compression algorithms, distributed file systems, object storage systems, and cloud storage platforms. These companies contribute to the global IT software market, which includes application software developers and producers. Our analysis at Technavio focuses on the application software market segment, specifically those offering AI-driven storage solutions for enterprises and consumers. We calculate the market size based on the combined revenue generated by these entities, excluding those classified as interactive home entertainment or systems software providers.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.
Technavio Research
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