


Outlook
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Unstructured Data By 2025, the global data volume will reach 180 ZB, of which over 80% is unstructured data. Unstructured data is widely used in enterprises and is becoming production and decision-making data.
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Diverse Data Applications New data applications are continuously created, from traditional database applications to distributed database, big data, and AI applications.
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All-Scenario Flash Storage Flash storage accounts for more than 50% of the primary storage market, and the era of all-scenario flash storage is coming.
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Ransomware Protection Ransomware attacks are becoming the most significant threat for enterprises. Data storage must protect against data security threats, acting as the last line of defense against ransomware attacks.
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Digital Resilience Natural disasters and illegal intrusions threaten data assets and can result in huge economic loss. Data protection is urgently needed to improve the digital resilience of enterprises.
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AI-Powered Storage AI will optimize storage in two ways: replacing manual management with automatic management and making products smarter, from traditional devices to full data lifecycle.
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Multi-Cloud Architecture Multi-cloud is the new normal, and 89% of enterprises have developed cloud strategies. Data centralization and application deployment in multi-cloud environments will become the optimal IT architecture in the future.
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Storage Business Models Storage devices consume an average of 300 kilowatt-hours per year per 1 TB capacity in data centers. As the data volume increases, energy-efficient storage systems are crucial to ensure zero carbon emissions in data centers.
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Green Data Storage A consumption-based pricing model for cloud computing is driving the emergence of new storage business models. Flexible storage business models are effective measures to cope with explosive data growth and economic uncertainty.
Recommendations


Enterprise IT teams must transform from structured data-centric teams to teams capable of design, plan, and management for mass unstructured data.
Use a professional distributed storage system with multi-protocol interworking, hybrid workloads and high-density hardware to improve the efficiency of using mass unstructured data for production.


Deploy new and diverse data applications and use the decoupled storage-computing architecture to improve reliability, reduce costs, and increase efficiency; Use the application acceleration engine to implement near-data processing for faster data processing.


Take advantage of storage lifecycle changes and new system deployment to accelerate the adoption of all-flash storage.


Establish a more comprehensive data protection system within your storage team and build an all-round ransomware protection storage solution to strengthen the last line of defense for data security.


Strengthen data protection to ensure that data is not leaked, tampered with, or lost, services are always online, and access is always compliant; and enhance enterprises' digital resilience.


Proactively formulate evaluation factors for storage AI management software, strengthen AI capabilities, and develop and train team members.


Move emerging innovative services and peripheral services like office automation (OA) to public clouds and retain core competitive services in on-premises data centers.
Adopt a centralized data sharing and storage IT architecture, deploy applications across multiple clouds, and plan for a unified cross-cloud data management platform to maximize data sharing.


Plan how to obtain IT resources and select the most reasonable business model according to business requirements and future strategies.


Deploying storage products with high-density design, converged systems, and efficient data reduction to further reduce data center energy consumption, in addition to reducing power usage effectiveness (PUE).
Trend Analysis
Trend Analysis
With the acceleration of digital transformation, unstructured data has been widely used in enterprises. AI is a typical example. 56% of enterprises use AI for at least one business function, and various scenarios are analyzed and processed based on unstructured data.
Mass unstructured data is generated in public clouds, edge sites, IoT terminals, and most frequently in enterprise data centers, where it is predicted that unstructured data will increase at a CAGR of 18% and exceed the amount of unstructured data in public clouds by 2025 to account for 51% of all unstructured data.
Suggestions
1Enterprise IT teams strengthen their capabilities of processing mass unstructured data.
2Choose professional distributed storage to build a foundation for mass unstructured data.
3Evaluate multiple factors and then determine whether to use enterprise data centers or public clouds to deploy unstructured data.
