The AI-Ready Cloud Solutions Market is being driven by Proliferation of generative AI and large language models
The AI-Ready Cloud Solutions Market is expected to grow at a CAGR of 22.9% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 102110.3 million. The AI-ready cloud solutions market is witnessing a pivotal shift towards multimodal AI capabilities. Previously, AI systems were limited to processing a singular data type, such as text or images. However, the current business landscape demands more nuanced and contextually aware AI applications, capable of understanding and generating content across various data modalities, including text, images, audio, and video. This evolution is fueled by the enterprise sector's need for holistic AI solutions that mirror human comprehension. Cloud platforms serve as the backbone of this trend, delivering the extensive computational resources necessary for training intricate multimodal models and offering them as scalable, managed services.
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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 |
248 |
Base year |
2024 |
Historic period |
2019-2023 |
Forecast period |
2025-2029 |
Growth momentum & CAGR |
Accelerate at a CAGR of 22.9% |
Market growth 2025-2029 |
USD 102110.3 million |
Market structure |
fragmentation |
YoY growth 2024-2025(%) |
20.5 |
Key countries |
US, China, UK, Germany, Japan, France, India, Canada, South Korea, and Australia |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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In the AI-Ready Cloud Solutions market, key offerings include cloud storage solutions for AI model training, data governance policies, application performance management, and cloud migration strategies. IT service management, network security measures, cloud-based backup, business continuity planning, and compliance regulations are also crucial. Risk mitigation strategies, security auditing processes, incident response planning, capacity planning processes, and performance testing methods ensure system reliability. Cost management tools, resource utilization analysis, data privacy protection, AI ethics guidelines, and cloud architecture design are essential for effective software development lifecycle implementation. Continuous integration, continuous delivery, automation testing frameworks, software quality assurance, software deployment strategies, version control systems, configuration management tools, and infrastructure as code complete the offerings.
The AI-Ready Cloud Solutions market encompasses businesses providing cloud computing services with integrated AI capabilities, enabling seamless deployment and implementation of machine learning algorithms. This sector falls under the broader IT software industry, which comprises companies engaged in developing and producing application, system, and database management software. Technavio's market analysis includes revenue generated by organizations offering cloud-based software solutions, including serverless computing, that facilitate AI model deployment and optimization. The data center infrastructure supporting these advanced services is a critical component, ensuring efficient processing and secure storage of business-critical data.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.
Technavio Research
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