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Cloud Backup as a Business Asset: Why Your Backup Strategy Needs to Evolve

Gonen Stein
Eon

The cloud computing landscape is evolving at a breakneck pace, with the global cloud infrastructure market projected to reach $838 billion by 2034, and businesses are scaling rapidly to meet new demands. Cloud adoption has accelerated, but backup strategies haven't always kept pace. Many organizations continue to rely on backup strategies that were either lifted directly from on-prem environments or use cloud-native tools in limited, DR-focused ways.

These approaches often fall short in today's dynamic, multi-cloud landscape, where visibility, automation, and rapid recovery are essential. An Eon report reveals that cloud backups are still underestimated, viewed primarily as a failsafe — an out-of-sight last resort only for when things go wrong. But in today's fast-moving business world, cloud backups should be more than just a safety net. They can and should be a valuable business asset, empowering organizations to drive innovation, streamline operations, and ensure compliance with increasingly complex regulations. The shift to a more intelligent, dynamic backup strategy is not just an opportunity — it's essential for success.

Eon uncovered a handful of critical gaps regarding how organizations approach cloud backup. To capture these prevailing winds, we gathered insights from 150+ IT and cloud leaders at the recent Google Cloud Next conference, which we've compiled into the 2025 State of Cloud Data Backup.

The Gaps: What's Holding Businesses Back?

One of the core issues we have found is that organizations are still overly reliant on outdated processes, tool fragmentation, and incomplete backup strategies. 38% of organizations still rely primarily on native snapshot or backup services from their cloud provider. While convenient, these tools often provide limited platform coverage, create vendor lock-in, and don't support granular or cross-cloud recovery. Tools like AWS Backup, Azure Backup, and Google Cloud's Backup for GKE offer native backup support, but they often fall short when it comes to cross-cloud visibility, policy consistency, and flexible, file-level recovery.

As environments become more dynamic and distributed, relying on a single provider's tools leaves critical data exposed. As many organizations view their future to be multi-cloud, there is a growing need for a single unified backup approach, ideally one that is built for visibility, has built-in, robust, and customizable automation features, and provides easy control across all platforms.

The challenges presented by fragmentation and a lack of control and automation are not poised to make operations more complicated; they already are. One in five organizations juggle multiple backup tools, resulting in policy drift and operational inefficiency. Meanwhile, 51% still rely on manual or semi-automated processes, which slow down recovery and increase the risk of failure or human error.

Alarmingly, there is an overwhelming lack of visibility within backups, leaving data exposed and at risk. We found that 39% of organizations have experienced cloud data loss or aren't confident in the integrity of their backups. Without full visibility, teams can't verify what's covered, what's exposed, or what's missing. Shadow resources, misconfigured storage, and untagged volumes slip through the cracks with increasing regularity in the fast-moving, multi-cloud environments that are becoming the norm. Gaps in discovery and classification are creating blind spots that compromise recovery when it counts most.

When recovery is needed, the systems in place make the process slow, inflexible, and expensive. Even teams that do test their restore workflows often uncover unexpected failures, like missing snapshots, misconfigured IAM roles, or dependencies that weren't documented.

54% of organizations cite compliance and data mismanagement as their top concerns, yet many rarely test their recovery workflows. Without improving their recovery methods and systems and regular validation, teams risk compliance failures, extended downtime, and rising costs every time recovery is needed.

Beyond the challenges of backups themselves, ransomware protection is still too thin for such an important asset, as with cloud ransomware growing, backups are a prime target. Yet 69% of organizations still lack layered protection, with many relying on a single line of defense or none at all.

Nearly one in four of all data loss cases is attributed to ransomware or data breaches. Without immutable storage, air gaps, anomaly detection, and automated recovery playbooks, even a minor incident can trigger major disruption.

Three Strategic Shifts Underway

Despite the gaps, we are seeing positive shifts taking place in how organizations are thinking about cloud backup. First and foremost, automation is slowly but surely gaining traction. Only 5% of organizations currently have fully automated backup strategies, but a promising 79% are investing or are planning to invest in overall backup improvements. The move towards automation is essential for improving recovery times, reducing human error, and ensuring that backup strategies remain consistent across diverse cloud environments.

Second, businesses are starting to realize that backup data can be far more than a recovery tool. In fact, 81% of IT leaders we surveyed see clear potential in transforming backups into centralized, queryable data lakes. These data lakes can serve as the foundation for high-impact use cases such as AI/ML, business intelligence, and compliance reporting. When backup data is accessible, dynamically organized, and integrated with business intelligence tools, it can power analytics and drive decision-making across the organization. Businesses have yet to take the leap to unlock this potential. Instead, backup data remains siloed, unclassified, and unused.

Organizations are increasingly exploring multi-cloud backup strategies to enhance resilience and reduce vendor lock-in, but this shift introduces new visibility and management complexity. Teams can't easily see what's protected, where gaps exist, or if policies are being enforced consistently.

That's why real-time, cross-cloud visibility isn't a luxury; it's a requirement. Without it, blind spots persist, recovery slows, and compliance risk increases. Solving for visibility means continuously discovering, classifying, and monitoring assets across every environment, as well as having a centralized way to oversee the full environment.

How to Modernize Cloud Data Backups

Organizations should start by regularly auditing and testing their backup posture. Begin with a comprehensive audit to identify blind spots, recovery gaps, and hidden risks, and continually reassess to ensure you're never caught off guard. A strong posture audit also prepares organizations for whatever comes next, whether that's a compliance check, a breach, or an outage.

Next, organizations need to recognize that more clouds shouldn't mean more backup tools. A unified platform of consolidated, integrated tools built for hybrid and multi-cloud environments simplifies management, improves visibility, and helps maintain consistent policies. Automating discovery and policy enforcement processes will ensure that new resources are found and protected in real-time, and automating policy enforcement ensures consistent and compliant coverage.

Companies must also adopt cloud-first ransomware protections. Ransomware threats are only gaining speed, and cloud backups are a prime target. Cloud-native platforms provide building blocks such as object lock and versioning. However, organizations still need to architect layered ransomware protection strategies that incorporate elements like immutable storage, anomaly detection, air gaps, and recovery playbooks.

Finally, organizations must reimagine their backups beyond mere "insurance." By organizing backup data into a structured, queryable lake, teams can enable analytics, accelerate compliance audits, support AI/ML, and streamline migrations. It's as much of a mindset shift as a technical one.

A Sunnier Future for the Cloud

The gaps in traditional backup strategies are clear, but so too are the opportunities for businesses that prioritize modern backup posture management. By embracing automation, unlocking the value of backup data, and investing in a multi-cloud, centralized management approach, companies can turn their backup strategies into a competitive advantage, reducing downtime, enabling faster compliance audits, and unlocking backup data for analytics and AI workloads.

Gonen Stein is Co-Founder and President of Eon

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Cloud Backup as a Business Asset: Why Your Backup Strategy Needs to Evolve

Gonen Stein
Eon

The cloud computing landscape is evolving at a breakneck pace, with the global cloud infrastructure market projected to reach $838 billion by 2034, and businesses are scaling rapidly to meet new demands. Cloud adoption has accelerated, but backup strategies haven't always kept pace. Many organizations continue to rely on backup strategies that were either lifted directly from on-prem environments or use cloud-native tools in limited, DR-focused ways.

These approaches often fall short in today's dynamic, multi-cloud landscape, where visibility, automation, and rapid recovery are essential. An Eon report reveals that cloud backups are still underestimated, viewed primarily as a failsafe — an out-of-sight last resort only for when things go wrong. But in today's fast-moving business world, cloud backups should be more than just a safety net. They can and should be a valuable business asset, empowering organizations to drive innovation, streamline operations, and ensure compliance with increasingly complex regulations. The shift to a more intelligent, dynamic backup strategy is not just an opportunity — it's essential for success.

Eon uncovered a handful of critical gaps regarding how organizations approach cloud backup. To capture these prevailing winds, we gathered insights from 150+ IT and cloud leaders at the recent Google Cloud Next conference, which we've compiled into the 2025 State of Cloud Data Backup.

The Gaps: What's Holding Businesses Back?

One of the core issues we have found is that organizations are still overly reliant on outdated processes, tool fragmentation, and incomplete backup strategies. 38% of organizations still rely primarily on native snapshot or backup services from their cloud provider. While convenient, these tools often provide limited platform coverage, create vendor lock-in, and don't support granular or cross-cloud recovery. Tools like AWS Backup, Azure Backup, and Google Cloud's Backup for GKE offer native backup support, but they often fall short when it comes to cross-cloud visibility, policy consistency, and flexible, file-level recovery.

As environments become more dynamic and distributed, relying on a single provider's tools leaves critical data exposed. As many organizations view their future to be multi-cloud, there is a growing need for a single unified backup approach, ideally one that is built for visibility, has built-in, robust, and customizable automation features, and provides easy control across all platforms.

The challenges presented by fragmentation and a lack of control and automation are not poised to make operations more complicated; they already are. One in five organizations juggle multiple backup tools, resulting in policy drift and operational inefficiency. Meanwhile, 51% still rely on manual or semi-automated processes, which slow down recovery and increase the risk of failure or human error.

Alarmingly, there is an overwhelming lack of visibility within backups, leaving data exposed and at risk. We found that 39% of organizations have experienced cloud data loss or aren't confident in the integrity of their backups. Without full visibility, teams can't verify what's covered, what's exposed, or what's missing. Shadow resources, misconfigured storage, and untagged volumes slip through the cracks with increasing regularity in the fast-moving, multi-cloud environments that are becoming the norm. Gaps in discovery and classification are creating blind spots that compromise recovery when it counts most.

When recovery is needed, the systems in place make the process slow, inflexible, and expensive. Even teams that do test their restore workflows often uncover unexpected failures, like missing snapshots, misconfigured IAM roles, or dependencies that weren't documented.

54% of organizations cite compliance and data mismanagement as their top concerns, yet many rarely test their recovery workflows. Without improving their recovery methods and systems and regular validation, teams risk compliance failures, extended downtime, and rising costs every time recovery is needed.

Beyond the challenges of backups themselves, ransomware protection is still too thin for such an important asset, as with cloud ransomware growing, backups are a prime target. Yet 69% of organizations still lack layered protection, with many relying on a single line of defense or none at all.

Nearly one in four of all data loss cases is attributed to ransomware or data breaches. Without immutable storage, air gaps, anomaly detection, and automated recovery playbooks, even a minor incident can trigger major disruption.

Three Strategic Shifts Underway

Despite the gaps, we are seeing positive shifts taking place in how organizations are thinking about cloud backup. First and foremost, automation is slowly but surely gaining traction. Only 5% of organizations currently have fully automated backup strategies, but a promising 79% are investing or are planning to invest in overall backup improvements. The move towards automation is essential for improving recovery times, reducing human error, and ensuring that backup strategies remain consistent across diverse cloud environments.

Second, businesses are starting to realize that backup data can be far more than a recovery tool. In fact, 81% of IT leaders we surveyed see clear potential in transforming backups into centralized, queryable data lakes. These data lakes can serve as the foundation for high-impact use cases such as AI/ML, business intelligence, and compliance reporting. When backup data is accessible, dynamically organized, and integrated with business intelligence tools, it can power analytics and drive decision-making across the organization. Businesses have yet to take the leap to unlock this potential. Instead, backup data remains siloed, unclassified, and unused.

Organizations are increasingly exploring multi-cloud backup strategies to enhance resilience and reduce vendor lock-in, but this shift introduces new visibility and management complexity. Teams can't easily see what's protected, where gaps exist, or if policies are being enforced consistently.

That's why real-time, cross-cloud visibility isn't a luxury; it's a requirement. Without it, blind spots persist, recovery slows, and compliance risk increases. Solving for visibility means continuously discovering, classifying, and monitoring assets across every environment, as well as having a centralized way to oversee the full environment.

How to Modernize Cloud Data Backups

Organizations should start by regularly auditing and testing their backup posture. Begin with a comprehensive audit to identify blind spots, recovery gaps, and hidden risks, and continually reassess to ensure you're never caught off guard. A strong posture audit also prepares organizations for whatever comes next, whether that's a compliance check, a breach, or an outage.

Next, organizations need to recognize that more clouds shouldn't mean more backup tools. A unified platform of consolidated, integrated tools built for hybrid and multi-cloud environments simplifies management, improves visibility, and helps maintain consistent policies. Automating discovery and policy enforcement processes will ensure that new resources are found and protected in real-time, and automating policy enforcement ensures consistent and compliant coverage.

Companies must also adopt cloud-first ransomware protections. Ransomware threats are only gaining speed, and cloud backups are a prime target. Cloud-native platforms provide building blocks such as object lock and versioning. However, organizations still need to architect layered ransomware protection strategies that incorporate elements like immutable storage, anomaly detection, air gaps, and recovery playbooks.

Finally, organizations must reimagine their backups beyond mere "insurance." By organizing backup data into a structured, queryable lake, teams can enable analytics, accelerate compliance audits, support AI/ML, and streamline migrations. It's as much of a mindset shift as a technical one.

A Sunnier Future for the Cloud

The gaps in traditional backup strategies are clear, but so too are the opportunities for businesses that prioritize modern backup posture management. By embracing automation, unlocking the value of backup data, and investing in a multi-cloud, centralized management approach, companies can turn their backup strategies into a competitive advantage, reducing downtime, enabling faster compliance audits, and unlocking backup data for analytics and AI workloads.

Gonen Stein is Co-Founder and President of Eon

Hot Topics

The Latest

While 87% of manufacturing leaders and technical specialists report that ROI from their AIOps initiatives has met or exceeded expectations, only 37% say they are fully prepared to operationalize AI at scale, according to The Future of IT Operations in the AI Era, a report from Riverbed ...

Many organizations rely on cloud-first architectures to aggregate, analyze, and act on their operational data ... However, not all environments are conducive to cloud-first architectures ... There are limitations to cloud-first architectures that render them ineffective in mission-critical situations where responsiveness, cost control, and data sovereignty are non-negotiable; these limitations include ...

For years, cybersecurity was built around a simple assumption: protect the physical network and trust everything inside it. That model made sense when employees worked in offices, applications lived in data centers, and devices rarely left the building. Today's reality is fluid: people work from everywhere, applications run across multiple clouds, and AI-driven agents are beginning to act on behalf of users. But while the old perimeter dissolved, a new one quietly emerged ...

For years, infrastructure teams have treated compute as a relatively stable input. Capacity was provisioned, costs were forecasted, and performance expectations were set based on the assumption that identical resources behaved identically. That mental model is starting to break down. AI infrastructure is no longer behaving like static cloud capacity. It is increasingly behaving like a market ...

Resilience can no longer be defined by how quickly an organization recovers from an incident or disruption. The effectiveness of any resilience strategy is dependent on its ability to anticipate change, operate under continuous stress, and adapt confidently amid uncertainty ...

Mobile users are less tolerant of app instability than ever before. According to a new report from Luciq, No Margin for Error: What Mobile Users Expect and What Mobile Leaders Must Deliver in 2026, even minor performance issues now result in immediate abandonment, lost purchases, and long-term brand impact ...

Artificial intelligence (AI) has become the dominant force shaping enterprise data strategies. Boards expect progress. Executives expect returns. And data leaders are under pressure to prove that their organizations are "AI-ready" ...

Agentic AI is a major buzzword for 2026. Many tech companies are making bold promises about this technology, but many aren't grounded in reality, at least not yet. This coming year will likely be shaped by reality checks for IT teams, and progress will only come from a focus on strong foundations and disciplined execution ...

AI systems are still prone to hallucinations and misjudgments ... To build the trust needed for adoption, AI must be paired with human-in-the-loop (HITL) oversight, or checkpoints where humans verify, guide, and decide what actions are taken. The balance between autonomy and accountability is what will allow AI to deliver on its promise without sacrificing human trust ...

More data center leaders are reducing their reliance on utility grids by investing in onsite power for rapidly scaling data centers, according to the Data Center Power Report from Bloom Energy ...