Lionel Sujay Vailshery
Research expert covering cloud computing and emerging tech industries
Artificial intelligence (AI) on the cloud - statistics & facts
While artificial intelligence (AI) offers tremendous potential, it demands robust computational resources and scalability. Indeed, AI has become a pivotal technology across industries, revolutionizing how businesses operate and enhancing our daily lives. With a global market size of over 244 billion U.S. dollars in 2025, it is a massive market, and growing at a considerable rate. But what is the best solution for unleashing the full potential of AI? This is where the cloud comes into play.
The cloud advantage for AI
Cloud platforms like AWS, Azure, and GCP have excellent scalability, making them ideal for AI workloads that require significant computational power. With pay-as-you-go models, organizations can minimize infrastructure costs and scale resources as needed, with the majority of deployments on public cloud. Cloud-based AI solutions are accessible from anywhere, promoting collaboration and allowing models to be deployed worldwide. Pre-configured environments and AI services accelerate development and deployment, while elastic computing capabilities and data management tools efficiently handle large datasets and complex computations, leading to wider hybrid cloud adoption.
Where is AI being utilized in the cloud?
Cloud-based AI solutions have become increasingly important in various industries. For example, cloud-based AI has proven to be a valuable tool for medical imaging analysis, drug discovery, and patient care, thanks to its scalability and computational power, with exponential growth in the AI market. E-commerce platforms use cloud-based AI to analyze customer behavior, providing personalized recommendations and ensuring tailored shopping experiences. In financial services, cloud-based AI is used for data analytics and data processing, especially for real-time analysis of financial data and market trends. Meanwhile, smart factories rely on cloud-based AI for predictive maintenance and quality control systems by processing sensor data from machines to optimize production processes.
What does the future hold for cloud-based AI?
Cloud-based AI is now widely regarded as the most effective way to tap into the potential of AI fully. Its scalability, cost-efficiency, global accessibility, and wide range of AI services make it an essential tool for organizations in various sectors, including healthcare, e-commerce, finance, and manufacturing, among others. Adopting cloud-based AI is no longer just an option, but a strategic necessity in this era of data-driven decision-making. With the continuous advancement of technology, it is clear that the cloud will serve as the backbone of the future of AI.
Lionel Sujay Vailshery
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Jun 5, 2025
Lionel Sujay Vailshery
Research expert covering cloud computing and emerging tech industries
