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As 2025 approaches, the IT infrastructure landscape is shifting towards decentralized data generation, with predictions indicating that 75% of data will originate outside traditional data centers. This trend is driven by high cloud costs, performance issues, and security concerns, leading many organizations to migrate from cloud to edge computing. The adoption of hyperconverged infrastructure (HCI) is expected to facilitate this transition, especially following Broadcom's acquisition of VMware.
Significant investments in edge technologies are anticipated, focusing on cost efficiency and enhanced data processing capabilities. Companies are likely to repatriate workloads from the cloud to on-premises systems, driven by challenges like vendor lock-in and the need for better data control. The global spending on edge computing is projected to reach $378 billion by 2028, highlighting the growing demand for real-time analytics and AI integration.
• 75% of data will be generated outside traditional data centers by 2025.
• AI is expected to grow at an annual rate of 36.6% from 2023 to 2030.
Edge computing refers to processing data closer to where it is generated, enhancing efficiency and reducing latency.
HCI integrates computing, storage, and networking into a single system, facilitating easier management and deployment.
AI readiness involves preparing infrastructure and training to effectively manage AI workloads locally.
Broadcom's acquisition of VMware is reshaping the HCI market, impacting enterprise data center strategies.
nVIDIA's valuation surged due to the AI boom, reflecting the growing demand for AI technologies.
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