The AI In Cloud Computing Market is being driven by Proliferation of generative AI and large language models
The AI In Cloud Computing Market is expected to grow at a CAGR of 36.3% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 27429 million. The AI in cloud computing market is witnessing a significant trend with the emergence of sovereign AI clouds and national AI factories. This development is driven by a convergence of data privacy regulations, national security concerns, and the pursuit of digital and economic autonomy. Nations are recognizing artificial intelligence as a critical strategic asset and are taking proactive steps to establish domestic infrastructure, ensuring the secure processing of sensitive government, industry, and citizen data within their jurisdictions. This approach reduces reliance on foreign hyperscale cloud providers, mitigating potential geopolitical and data access risks associated with their home countries' laws.
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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 |
242 |
Base year |
2024 |
Historic period |
2019-2023 |
Forecast period |
2025-2029 |
Growth momentum & CAGR |
Accelerate at a CAGR of 36.3% |
Market growth 2025-2029 |
USD 27429 million |
Market structure |
fragmentation |
YoY growth 2024-2025(%) |
29.1 |
Key countries |
US, China, Japan, Germany, India, UK, South Korea, France, Canada, and Australia |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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In the rapidly expanding AI in Cloud Computing Market, key trends include TensorFlow and PyTorch deployment for machine learning models, Kubernetes clusters and Docker containers for containerization, serverless functions for scalable computing, and cloud-based databases such as NoSQL for data storage. Data analytics pipelines facilitate real-time data processing and streaming data analytics, while data visualization dashboards offer insights. Model versioning systems, MLOps principles, CI/CD integration, and automated testing ensure efficient development and deployment. Model training optimization, hyperparameter tuning, model explainability techniques, bias detection algorithms, data governance frameworks, compliance standards, security auditing, disaster recovery planning, and business continuity strategies ensure model reliability and security.
The AI in Cloud Computing market is a significant segment of the global Technology Hardware, Storage, and Peripherals market, encompassing cloud computing infrastructure, AI model deployment, and machine learning algorithms. According to Technavio, this market is driven by the increasing volume, velocity, veracity, and variety (4Vs) of data, which necessitates advanced data center optimization solutions. The global Technology Hardware, Storage, and Peripherals market, which includes manufacturers of cellular phones, personal computers, servers, and peripherals, is projected to grow due to the escalating demand for data storage solutions in response to the expanding number of data centers. This market's size is determined by the revenue generated from the sales of hardware devices, equipment, and components.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.
Technavio Research
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