{"id":50685,"date":"2026-03-24T17:26:23","date_gmt":"2026-03-24T09:26:23","guid":{"rendered":"https:\/\/www.amagicsoft.com\/?p=50685"},"modified":"2026-03-24T17:26:23","modified_gmt":"2026-03-24T09:26:23","slug":"cost-of-data-loss-statistics","status":"publish","type":"post","link":"https:\/\/www.amagicsoft.com\/jp\/news\/cost-of-data-loss-statistics.html","title":{"rendered":"\u30c7\u30fc\u30bf\u640d\u5931\u306e\u30b3\u30b9\u30c8\u7d71\u8a08\uff1a2026\u5e74\u30d3\u30b8\u30cd\u30b9\u30b3\u30b9\u30c8\u5206\u6790"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"50685\" class=\"elementor elementor-50685\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-wgvsmjq dtec-docx-root dtec-post-50685 e-flex e-con-boxed e-con e-parent\" data-id=\"wgvsmjq\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-aamdthh elementor-widget elementor-widget-text-editor\" data-id=\"aamdthh\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Cost of data loss statistics are often reduced to one scary number. That is the wrong way to read them. A serious data loss event does not create just one bill. It creates a stack of bills: incident response, downtime, missed revenue, legal work, customer remediation, delayed releases, <a href=\"https:\/\/www.amagicsoft.com\/wiki\/data-backup-strategy.html\">backup restoration<\/a>, and the long tail of rebuilding trust. That is why the smartest way to analyze data loss is to separate <strong>breach cost<\/strong>, <strong>downtime cost<\/strong>, and <strong>recovery cost<\/strong> instead of treating them as the same thing. <\/p>\n<p>The best current benchmarks already show how large that stack can become. IBM put the global average cost of a data breach at <strong>USD 4.4 million<\/strong> in 2025. Uptime Institute found that <strong>54%<\/strong> of respondents said their most recent significant outage cost more than <strong>USD 100,000<\/strong>, and <strong>16%<\/strong> said it cost more than <strong>USD 1 million<\/strong>. Splunk and Oxford Economics estimated that downtime costs Global 2000 firms <strong>USD 400 billion per year<\/strong>, while Sophos reported an average ransomware recovery cost of <strong>USD 1.53 million<\/strong> in 2025. Taken together, these figures show that the cost of <a href=\"https:\/\/www.amagicsoft.com\/wiki\/statistics-on-data-loss.html\">data loss<\/a> is not one average. It is an overlapping system of financial damage. <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-18da597 elementor-widget elementor-widget-spacer\" data-id=\"18da597\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-wfubi1b elementor-toc--minimized-on-tablet elementor-widget elementor-widget-table-of-contents\" data-id=\"wfubi1b\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;headings_by_tags&quot;:[&quot;h2&quot;,&quot;h3&quot;],&quot;exclude_headings_by_selector&quot;:&quot;.faq-no-toc, h2:contains(Data Recovery Assessment)&quot;,&quot;marker_view&quot;:&quot;bullets&quot;,&quot;no_headings_message&quot;:&quot;No headings were found on this page.&quot;,&quot;icon&quot;:{&quot;value&quot;:&quot;fas fa-circle&quot;,&quot;library&quot;:&quot;fa-solid&quot;},&quot;minimize_box&quot;:&quot;yes&quot;,&quot;minimized_on&quot;:&quot;tablet&quot;,&quot;hierarchical_view&quot;:&quot;yes&quot;,&quot;min_height&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;min_height_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;min_height_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]}}\" data-widget_type=\"table-of-contents.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-toc__header\">\n\t\t\t\t\t\t<h4 class=\"elementor-toc__header-title\">\n\t\t\t\tTable of Contents\t\t\t<\/h4>\n\t\t\t\t\t\t\t\t\t\t<div class=\"elementor-toc__toggle-button elementor-toc__toggle-button--expand\" role=\"button\" tabindex=\"0\" aria-controls=\"elementor-toc__wfubi1b\" aria-expanded=\"true\" aria-label=\"Open table of contents\"><i aria-hidden=\"true\" class=\"fas fa-chevron-down\"><\/i><\/div>\n\t\t\t\t<div class=\"elementor-toc__toggle-button elementor-toc__toggle-button--collapse\" role=\"button\" tabindex=\"0\" aria-controls=\"elementor-toc__wfubi1b\" aria-expanded=\"true\" aria-label=\"Close table of contents\"><i aria-hidden=\"true\" class=\"fas fa-chevron-up\"><\/i><\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<div id=\"elementor-toc__wfubi1b\" class=\"elementor-toc__body\">\n\t\t\t<div class=\"elementor-toc__spinner-container\">\n\t\t\t\t<i class=\"elementor-toc__spinner eicon-animation-spin eicon-loading\" aria-hidden=\"true\"><\/i>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-upydh5f elementor-widget elementor-widget-heading\" data-id=\"upydh5f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Quick cost of data loss statistics<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-u03qzfa elementor-widget elementor-widget-text-editor\" data-id=\"u03qzfa\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li>The global average cost of a data breach was <strong>USD 4.4 million<\/strong> in 2025, and extensive use of AI in security correlated with <strong>USD 1.9 million<\/strong> in savings. <\/li><li>In IBM\u2019s 2024 study, the global average breach cost hit <strong>USD 4.88 million<\/strong>, while <strong>70%<\/strong> of breached organizations said the disruption was significant or very significant. <\/li><li><strong>54%<\/strong> of surveyed operators said their most recent significant outage cost more than <strong>USD 100,000<\/strong>, and <strong>16%<\/strong> said it exceeded <strong>USD 1 million<\/strong>. <\/li><li>Splunk estimated downtime costs Global 2000 companies <strong>USD 400 billion annually<\/strong>, or roughly <strong>9% of profits<\/strong>. <\/li><li>Verizon found ransomware in <strong>44%<\/strong> of breaches in 2025, up from <strong>32%<\/strong>, while <strong>64%<\/strong> of victim organizations did not pay the ransom. <\/li><li>Sophos reported that average ransomware recovery costs fell from <strong>USD 2.73 million<\/strong> in 2024 to <strong>USD 1.53 million<\/strong> in 2025, but the median ransom payment was still <strong>USD 1 million<\/strong>. <\/li><li>Spanning and Kaseya both highlighted a recoverability gap: more than <strong>60%<\/strong> of organizations believed they could recover from downtime within hours or under a day, but only <strong>35%<\/strong> could do so in reality. <\/li><li>Veeam found that after ransomware attacks, only <strong>10%<\/strong> of affected organizations recovered more than <strong>90%<\/strong> of their data, while <strong>57%<\/strong> recovered less than <strong>50%<\/strong>. <\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-37wpxwl elementor-widget elementor-widget-heading\" data-id=\"37wpxwl\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Why most cost of data loss statistics are misunderstood<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-tdf1c5y elementor-widget elementor-widget-text-editor\" data-id=\"tdf1c5y\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Most articles ranking for this topic make one basic mistake: they combine unlike-for-like numbers. A breach benchmark from IBM is not measuring the same thing as an outage benchmark from Uptime, a downtime benchmark from Splunk, or a ransomware recovery benchmark from Sophos. When those figures are mixed without explanation, readers get drama, not clarity. <\/p>\n<p>A better model has four layers. First, there is <strong>direct incident cost<\/strong>: investigation, containment, forensics, legal, notifications, and remediation. Second, there is <strong>downtime cost<\/strong>: lost revenue, SLA penalties, overtime, and operational paralysis. Third, there is <strong>recovery cost<\/strong>: backup restoration, data validation, staff time, external responders, and rebuilt infrastructure. Finally, there is <strong>hidden strategic cost<\/strong>: customer churn, lower lifetime value, damaged partner relationships, slower product delivery, and higher future security spending. Splunk\u2019s findings on stock price pressure, customer lifetime value, and time-to-market delays make that last category impossible to ignore. <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6549w2y elementor-widget elementor-widget-heading\" data-id=\"6549w2y\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">The direct incident cost is still brutally high<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-s0wfp5z elementor-widget elementor-widget-text-editor\" data-id=\"s0wfp5z\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>If you only want the headline number, IBM is still the cleanest benchmark. The company\u2019s 2025 Cost of a Data Breach Report put the global average at <strong>USD 4.4 million<\/strong>, while its 2024 study put the average at <strong>USD 4.88 million<\/strong>, the largest year-over-year jump since the pandemic. In the 2024 report, <strong>70%<\/strong> of breached organizations said the breach caused significant or very significant disruption, and even among the small minority that fully recovered, recovery usually took more than <strong>100 days<\/strong>. In other words, the dollar amount understates the duration of the pain. <\/p>\n<p>The 2025 decline from USD 4.88 million to USD 4.4 million should not be read as \u201cproblem solved.\u201d IBM\u2019s own explanation is that organizations were identifying and containing incidents faster. The same report still found that <strong>31%<\/strong> of studied organizations experienced operational disruption, that <strong>20%<\/strong> experienced breaches linked to shadow AI, and that those shadow AI breaches added as much as <strong>USD 670,000<\/strong> to average breach cost. That means cost pressure did not disappear. It became more dependent on speed, governance, and visibility. <\/p>\n<p>This is one of the most useful lessons hidden inside current cost of data loss statistics: <strong>time is the cost multiplier<\/strong>. In IBM\u2019s 2024 research, organizations that used security AI and automation extensively identified and contained incidents <strong>98 days faster<\/strong> and saw <strong>USD 2.2 million<\/strong> less in breach costs. Internal detection also mattered. Breaches detected by an organization\u2019s own team or tools shortened the lifecycle by <strong>61 days<\/strong> and saved nearly <strong>USD 1 million<\/strong> compared with attacker disclosure. Put simply, faster detection is not just an operational win. It is a margin-protection strategy. <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-u2luuqk elementor-widget elementor-widget-heading\" data-id=\"u2luuqk\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Downtime turns data loss into a revenue event<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9agwk5x elementor-widget elementor-widget-image\" data-id=\"9agwk5x\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"1641\" height=\"824\" src=\"https:\/\/www.amagicsoft.com\/wp-content\/uploads\/2026\/03\/hidden-cost-of-data-loss-and-downtime.webp\" class=\"attachment-full size-full wp-image-50680\" alt=\"revenue interruption event\" srcset=\"https:\/\/www.amagicsoft.com\/wp-content\/uploads\/2026\/03\/hidden-cost-of-data-loss-and-downtime.webp 1641w, https:\/\/www.amagicsoft.com\/wp-content\/uploads\/2026\/03\/hidden-cost-of-data-loss-and-downtime-300x151.webp 300w, https:\/\/www.amagicsoft.com\/wp-content\/uploads\/2026\/03\/hidden-cost-of-data-loss-and-downtime-1024x514.webp 1024w, https:\/\/www.amagicsoft.com\/wp-content\/uploads\/2026\/03\/hidden-cost-of-data-loss-and-downtime-768x386.webp 768w, https:\/\/www.amagicsoft.com\/wp-content\/uploads\/2026\/03\/hidden-cost-of-data-loss-and-downtime-1536x771.webp 1536w, https:\/\/www.amagicsoft.com\/wp-content\/uploads\/2026\/03\/hidden-cost-of-data-loss-and-downtime-18x9.webp 18w, https:\/\/www.amagicsoft.com\/wp-content\/uploads\/2026\/03\/hidden-cost-of-data-loss-and-downtime-710x357.webp 710w\" sizes=\"(max-width: 1641px) 100vw, 1641px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-iuf8dey elementor-widget elementor-widget-text-editor\" data-id=\"iuf8dey\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>A lot of executives think about data loss as an IT failure. The better way to think about it is as a <strong>revenue interruption event<\/strong>. Uptime Institute\u2019s 2024 outage analysis found that more than half of respondents said their most recent significant outage cost over <strong>USD 100,000<\/strong>, and <strong>16%<\/strong> said the bill passed <strong>USD 1 million<\/strong>. Even more revealing, <strong>four in five<\/strong> respondents said their most recent serious outage could have been prevented with better management, processes, and configuration. That is a polite way of saying many expensive outages are avoidable management failures. <\/p>\n<p>Splunk\u2019s downtime research makes the financial cascade even clearer. Across Global 2000 companies, the total annual cost of downtime was estimated at <strong>USD 400 billion<\/strong>, or about <strong>9% of profits<\/strong>. The largest direct cost was <strong>lost revenue<\/strong>, averaging <strong>USD 49 million<\/strong> annually, followed by <strong>regulatory fines<\/strong> at <strong>USD 22 million<\/strong> and <strong>missed SLA penalties<\/strong> at <strong>USD 16 million<\/strong>. That is why data loss cost should never be framed as a pure security line item. It hits sales, compliance, finance, and customer operations all at once. <\/p>\n<p>The same Splunk study also quantified the costs most articles leave out. Stock price can fall by as much as <strong>9%<\/strong> after a single incident and take <strong>79 days<\/strong> to recover. <strong>74%<\/strong> of technology executives reported delayed time-to-market, <strong>64%<\/strong> reported stagnant developer productivity, <strong>40%<\/strong> of CMOs said downtime hurt customer lifetime value, and another <strong>40%<\/strong> said it damaged reseller or partner relationships. These are not side effects. They are core economic losses. They are also why shallow listicles understate the real business cost of data loss. <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3q7qfa8 elementor-widget elementor-widget-heading\" data-id=\"3q7qfa8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Recovery readiness is usually worse than leadership thinks<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3jt1qmt elementor-widget elementor-widget-text-editor\" data-id=\"3jt1qmt\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>One of the strongest patterns across recent studies is the <strong>confidence gap<\/strong>. Spanning\u2019s 2025 State of SaaS Backup and Recovery report, based on more than <strong>3,000<\/strong> IT and information security professionals worldwide, found that more than <strong>60%<\/strong> of organizations believed they could recover from a downtime event within hours. In reality, only <strong>35%<\/strong> could. Only <strong>40%<\/strong> were confident that their backup and recovery solution could sufficiently protect critical digital assets in a disaster, and <strong>25%<\/strong> had no policies or controls in place to prevent malicious access to backup infrastructure. That is a dangerous combination: confidence, weak controls, and unproven recovery. <\/p>\n<p>Kaseya\u2019s 2025 backup and recovery survey reached a very similar conclusion. More than <strong>3,000<\/strong> IT professionals were surveyed, and only <strong>10%<\/strong> of businesses reported zero outages last year. <strong>60%<\/strong> believed they could recover in under a day, but only <strong>35%<\/strong> could in reality. About <strong>40%<\/strong> could recover lost SaaS data in hours, while another <strong>35%<\/strong> needed days or weeks. Even worse, <strong>8%<\/strong> were unsure of their recovery time and <strong>2%<\/strong> did not believe they could recover any lost SaaS data at all. That is not a backup maturity issue. That is a recoverability crisis. <\/p>\n<p>This matters because the cost of <a href=\"https:\/\/www.amagicsoft.com\/wiki\/statistics-on-data-loss.html\">data loss<\/a> rises sharply when recovery is uncertain. A company that can restore clean data fast suffers one kind of loss. A company that spends days figuring out what is intact, what is corrupt, and what is missing suffers a very different kind of loss. The first company pays for interruption. The second company pays for interruption, rework, customer frustration, executive escalation, and often new emergency spending. That is why backup should be measured by <strong>restore speed and restore completeness<\/strong>, not by whether a job ran overnight. <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-hycvbfy elementor-widget elementor-widget-heading\" data-id=\"hycvbfy\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Hybrid and multi-environment data is more expensive to lose<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-mznfeiv elementor-widget elementor-widget-image\" data-id=\"mznfeiv\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"1486\" height=\"823\" src=\"https:\/\/www.amagicsoft.com\/wp-content\/uploads\/2026\/03\/cost-of-data-loss-statistics-in-hybrid-cloud-environments.webp\" class=\"attachment-full size-full wp-image-50679\" alt=\"Hybrid and multi-environment data\" srcset=\"https:\/\/www.amagicsoft.com\/wp-content\/uploads\/2026\/03\/cost-of-data-loss-statistics-in-hybrid-cloud-environments.webp 1486w, https:\/\/www.amagicsoft.com\/wp-content\/uploads\/2026\/03\/cost-of-data-loss-statistics-in-hybrid-cloud-environments-300x166.webp 300w, https:\/\/www.amagicsoft.com\/wp-content\/uploads\/2026\/03\/cost-of-data-loss-statistics-in-hybrid-cloud-environments-1024x567.webp 1024w, https:\/\/www.amagicsoft.com\/wp-content\/uploads\/2026\/03\/cost-of-data-loss-statistics-in-hybrid-cloud-environments-768x425.webp 768w, https:\/\/www.amagicsoft.com\/wp-content\/uploads\/2026\/03\/cost-of-data-loss-statistics-in-hybrid-cloud-environments-18x10.webp 18w, https:\/\/www.amagicsoft.com\/wp-content\/uploads\/2026\/03\/cost-of-data-loss-statistics-in-hybrid-cloud-environments-710x393.webp 710w\" sizes=\"(max-width: 1486px) 100vw, 1486px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ln6rhhu elementor-widget elementor-widget-text-editor\" data-id=\"ln6rhhu\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Hybrid IT makes data more useful. It also makes data loss more expensive. IBM\u2019s 2024 research found that <strong>40%<\/strong> of breaches involved data stored across multiple environments such as public cloud, private cloud, and on-premises systems. Those incidents cost more than <strong>USD 5 million<\/strong> on average and took <strong>283 days<\/strong> to identify and contain. IBM\u2019s 2025 report sharpened the picture further: breaches involving data distributed across multiple environments averaged <strong>USD 5.05 million<\/strong>, compared with <strong>USD 4.01 million<\/strong> for data breached on premises. Complexity has a price tag. <\/p>\n<p>The reason is straightforward. Hybrid environments create more permissions, more integrations, more retention policies, more storage locations, and more room for unclear ownership. When data is fragmented, the cost of losing it rises because the cost of understanding it rises first. Security teams have to answer basic questions under pressure: Which copy is clean? Which system is authoritative? Which integration propagated corruption? Which records are subject to notification rules? Hybrid architecture does not automatically create data loss, but it raises the <strong>cost of recovery and containment<\/strong> when something goes wrong. <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8rz4k2z elementor-widget elementor-widget-heading\" data-id=\"8rz4k2z\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Ransomware keeps turning data loss into a finance problem<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-vgbkbw7 elementor-widget elementor-widget-text-editor\" data-id=\"vgbkbw7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Ransomware is no longer a niche security topic inside cost of data loss statistics. It is one of the main ways those costs are generated. Verizon\u2019s 2025 DBIR found ransomware in <strong>44%<\/strong> of all reviewed breaches, up from <strong>32%<\/strong> the year before. The median amount paid fell to <strong>USD 115,000<\/strong>, and <strong>64%<\/strong> of victim organizations did not pay. That sounds encouraging until you notice the broader pattern: ransomware is still appearing in almost half of breaches, and smaller businesses are hit much harder. In larger organizations, ransomware was involved in <strong>39%<\/strong> of breaches; in SMBs, it was <strong>88%<\/strong>. <\/p>\n<p>Sophos adds another crucial layer. In its 2025 ransomware study of <strong>3,400<\/strong> IT and cybersecurity leaders across <strong>17 countries<\/strong>, the median ransom payment was <strong>USD 1 million<\/strong>, and the average recovery cost was <strong>USD 1.53 million<\/strong>, even after a decline from <strong>USD 2.73 million<\/strong> the year before. More than half of organizations recovered within a week, but <strong>18%<\/strong> still took more than a month. That tells us something important: even when payment levels change, the real economic burden still sits in <strong>recovery<\/strong>, not just extortion. <\/p>\n<p>Veeam\u2019s 2025 ransomware data pushes the point further. Among <strong>1,300<\/strong> surveyed organizations, <strong>69%<\/strong> had experienced a ransomware attack in the past year. Of those attacked, only <strong>10%<\/strong> recovered more than <strong>90%<\/strong> of their data, while <strong>57%<\/strong> recovered less than <strong>50%<\/strong>. Meanwhile, <strong>94%<\/strong> of attacked organizations were increasing recovery budgets and <strong>95%<\/strong> planned to increase prevention spending. In plain English, ransomware is not only forcing organizations to absorb incident costs now; it is also reshaping next year\u2019s budget. <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-sz60x69 elementor-widget elementor-widget-heading\" data-id=\"sz60x69\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">The hidden costs are what most articles ignore<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-xx22kt7 elementor-widget elementor-widget-text-editor\" data-id=\"xx22kt7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>This is the section where most ranking articles go thin. They mention breach cost, maybe outage cost, and stop. But hidden costs are where many businesses actually feel the damage longest. Splunk\u2019s work shows that downtime can hit shareholder value, slow engineering output, delay launches, and weaken customer trust. IBM\u2019s 2024 report adds another downstream effect: <strong>63%<\/strong> of organizations said they would increase the cost of goods or services because of the breach. That means the cost of data loss does not just hit the victim organization. It often gets redistributed through pricing, contracts, and customer experience. <\/p>\n<p>There is also a people cost. IBM found severe or high-level security staffing shortages pushed breach costs up by <strong>USD 1.76 million<\/strong> on average. Sophos found <strong>63%<\/strong> of organizations said resourcing issues were a factor in their ransomware victimization. Uptime\u2019s human-factor data showed that staff failing to follow procedure and incorrect processes were leading contributors to outage events caused by human error. In other words, the cost of data loss is often an organizational design problem before it becomes a technical problem. <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1gbrxol elementor-widget elementor-widget-heading\" data-id=\"1gbrxol\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Which sectors feel the highest costs?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4zcd6av elementor-widget elementor-widget-text-editor\" data-id=\"4zcd6av\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Industry matters because the value of the data, the regulatory burden, and the operational consequences are different. IBM\u2019s 2024 newsroom release said healthcare had the highest breach costs for the <strong>14th<\/strong> straight year at <strong>USD 9.77 million<\/strong>. IBM\u2019s 2024 finance analysis put the average breach cost for financial firms at <strong>USD 6.08 million<\/strong>, or <strong>22% higher<\/strong> than the global average. Finance also had the second-highest breach cost of any industry. These sectors are expensive because they combine sensitive records, strict compliance pressure, and little tolerance for downtime. <\/p>\n<p>The broader lesson is not just \u201cregulated sectors pay more.\u201d It is that data becomes more expensive to lose when it is tied directly to human wellbeing, payment systems, regulated reporting, or high-trust customer relationships. That is why leaders should not ask only, \u201cHow much data do we have?\u201d They should ask, \u201cHow expensive is each hour of unavailability, each day of delayed containment, and each record that triggers legal or customer action?\u201d The value of the data determines the cost curve after loss. <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-aaj6pg7 elementor-widget elementor-widget-heading\" data-id=\"aaj6pg7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">What these cost of data loss statistics mean for strategy<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3cu4rv9 elementor-widget elementor-widget-text-editor\" data-id=\"3cu4rv9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>First, shorten the time between compromise and containment. IBM\u2019s recent reports consistently show that speed has one of the strongest cost correlations in the dataset. Faster containment, internal detection, AI-driven security operations, and better governance all reduce economic damage. Verizon\u2019s 2025 DBIR supports the same conclusion from the attack side: exploited vulnerabilities accounted for <strong>20%<\/strong> of breach initial access, up <strong>34%<\/strong>, yet only about <strong>54%<\/strong> of edge device vulnerabilities were fully remediated throughout the year. The cheaper incident is usually the one you closed faster. <\/p>\n<p>Second, test recovery as aggressively as you test prevention. Kaseya found only <strong>15%<\/strong> of organizations tested backups daily and <strong>11%<\/strong> tested disaster recovery daily. Spanning found the backup confidence gap remained large, while <strong>25%<\/strong> lacked policies to prevent malicious access to backup infrastructure. A backup environment that is not tested, segmented, and protected is not an insurance policy. It is a hope strategy. Hope is expensive. <\/p>\n<p>Third, treat resilience spend as profit protection rather than overhead. Veeam\u2019s data on rising recovery and prevention budgets, IBM\u2019s evidence on AI-driven savings, and Splunk\u2019s proof that downtime destroys revenue all point in the same direction: resilience is not a cost center in opposition to growth. It is what protects growth from being erased in a single quarter by one avoidable event. That is the real board-level meaning behind today\u2019s cost of data loss statistics. <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-94yr8w5 elementor-widget elementor-widget-heading\" data-id=\"94yr8w5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Conclusion<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-dskswc8 elementor-widget elementor-widget-text-editor\" data-id=\"dskswc8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>The biggest takeaway from current cost of data loss statistics is simple: <strong>data loss is rarely expensive because of one isolated technical failure<\/strong>. It becomes expensive when four forces combine\u2014operational disruption, slow recovery, hybrid complexity, and hidden commercial damage. That is why shallow \u201c50 stats\u201d articles underperform serious decision-making. They tell you the price tag. They do not explain the invoice. The organizations that outperform after data loss are usually the ones that cut containment time, prove recoverability in advance, and protect backup and hybrid environments as seriously as production systems. <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-kx0otjh elementor-widget elementor-widget-heading\" data-id=\"kx0otjh\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">From Data Loss Statistics to Practical Recovery<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0vel727 elementor-widget elementor-widget-text-editor\" data-id=\"0vel727\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Cost of data loss statistics make one thing clear: the longer critical files remain unavailable, the more expensive the incident becomes. While large-scale breaches and prolonged outages require broader security and continuity planning, many real-world data loss incidents begin with a more immediate problem\u2014deleted files, formatted drives, corrupted storage, or inaccessible devices.<\/p>\n<p>For readers facing those file-recovery scenarios, <a href=\"https:\/\/www.amagicsoft.com\/\">Amagicsoft<\/a>\u2019s <a href=\"https:\/\/www.amagicsoft.com\/magic-data-recovery\">Magic Data Recovery<\/a> is a practical option to evaluate. Designed for Windows users, it helps recover deleted, formatted, or corrupted files from common storage devices such as hard drives, SSDs, USB drives, and SD cards through a simple scan, preview, and recover workflow.<\/p>\n<p>If your goal is to shorten recovery time and restore important files before downtime, rework, and secondary business costs grow further, <a href=\"https:\/\/www.amagicsoft.com\/magic-data-recovery\">Magic Data Recovery<\/a> is worth considering as a practical next step.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b433867 e-con-full e-flex e-con e-child\" data-id=\"b433867\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-9226802 e-con-full e-flex e-con e-child\" data-id=\"9226802\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f9e6d15 elementor-widget__width-auto animated-fast elementor-align-center elementor-widget elementor-widget-elementskit-button\" data-id=\"f9e6d15\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;none&quot;,&quot;_animation_delay&quot;:200}\" data-widget_type=\"elementskit-button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"ekit-wid-con\" >\t\t<div class=\"ekit-btn-wraper\">\n\t\t\t\t\t\t\t<a href=\"https:\/\/download.amagicsoft.com\/product\/mdr\/magic-data-recovery.exe\" class=\"elementskit-btn  whitespace--normal\" id=\"\">\n\t\t\t\t\tDownload Magic Data Recovery\t\t\t\t<\/a>\n\t\t\t\t\t<\/div>\n        <\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4b66d0d downloadtext elementor-widget elementor-widget-text-editor\" data-id=\"4b66d0d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: center;\">Supports Windows 7\/8\/10\/11 and Windows Server<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-hfwxi8k elementor-widget elementor-widget-heading\" data-id=\"hfwxi8k\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">FAQs<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ifk7nxz faq-no-toc dtec-faq elementor-widget elementor-widget-elementskit-faq\" data-id=\"ifk7nxz\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"elementskit-faq.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"ekit-wid-con\" >\n                <div class=\"elementskit-single-faq elementor-repeater-item-72lj71d\">\n            <div class=\"elementskit-faq-header\">\n                <h3 class=\"elementskit-faq-title\">What is the average cost of data loss for a business?<\/h3>\n            <\/div>\n            <div class=\"elementskit-faq-body\">\n                <p>There is no single universal benchmark because different studies measure different events. IBM\u2019s 2025 global average breach cost was <strong>USD 4.4 million<\/strong>, Uptime found <strong>54%<\/strong> of significant outages cost more than <strong>USD 100,000<\/strong>, and Sophos put average ransomware recovery at <strong>USD 1.53 million<\/strong>. The safest conclusion is that data loss cost is a range, not one number. <\/p>            <\/div>\n        <\/div>\n                <div class=\"elementskit-single-faq elementor-repeater-item-l6s0kdz\">\n            <div class=\"elementskit-faq-header\">\n                <h3 class=\"elementskit-faq-title\">Is data loss the same as a data breach?<\/h3>\n            <\/div>\n            <div class=\"elementskit-faq-body\">\n                <p>No. A data breach is one type of data loss event, but not the only one. Data loss can also come from outages, ransomware encryption, accidental deletion, bad integrations, hardware failure, or failed recovery. That is why IBM, Uptime, Splunk, and Sophos report different \u201ccost\u201d numbers that should not be treated as interchangeable. <\/p>            <\/div>\n        <\/div>\n                <div class=\"elementskit-single-faq elementor-repeater-item-tjyowpe\">\n            <div class=\"elementskit-faq-header\">\n                <h3 class=\"elementskit-faq-title\">Why does downtime make data loss so expensive?<\/h3>\n            <\/div>\n            <div class=\"elementskit-faq-body\">\n                <p>Downtime converts technical failure into business loss. Splunk estimated <strong>USD 400 billion<\/strong> in annual downtime costs for Global 2000 firms, with lost revenue, regulatory fines, and SLA penalties leading the bill. Uptime also found that more than half of significant outages cost over <strong>USD 100,000<\/strong>. When systems stop, revenue and trust stop with them. <\/p>            <\/div>\n        <\/div>\n                <div class=\"elementskit-single-faq elementor-repeater-item-j6vbudm\">\n            <div class=\"elementskit-faq-header\">\n                <h3 class=\"elementskit-faq-title\">Does paying the ransom solve the data loss problem?<\/h3>\n            <\/div>\n            <div class=\"elementskit-faq-body\">\n                <p>Not really. Verizon found <strong>64%<\/strong> of victim organizations did not pay ransoms, while Sophos still reported an average ransomware recovery cost of <strong>USD 1.53 million<\/strong> in 2025 and a median ransom payment of <strong>USD 1 million<\/strong>. Even when money changes hands, restoration, validation, cleanup, and business recovery still create major costs. <\/p>            <\/div>\n        <\/div>\n                <div class=\"elementskit-single-faq elementor-repeater-item-ls61eai\">\n            <div class=\"elementskit-faq-header\">\n                <h3 class=\"elementskit-faq-title\">Which industries usually suffer the highest data loss costs?<\/h3>\n            <\/div>\n            <div class=\"elementskit-faq-body\">\n                <p>Healthcare and finance are among the most expensive sectors. IBM reported healthcare breach costs at <strong>USD 9.77 million<\/strong> in 2024, while financial firms averaged <strong>USD 6.08 million<\/strong>. These industries combine sensitive data, strict compliance obligations, and very low tolerance for downtime, which pushes both direct and hidden costs higher after incidents. <\/p>            <\/div>\n        <\/div>\n                <div class=\"elementskit-single-faq elementor-repeater-item-pomv96j\">\n            <div class=\"elementskit-faq-header\">\n                <h3 class=\"elementskit-faq-title\">Why do hybrid cloud environments increase the cost of data loss?<\/h3>\n            <\/div>\n            <div class=\"elementskit-faq-body\">\n                <p>Hybrid environments spread data across public cloud, private cloud, and on-premises systems. IBM found breaches involving multiple environments cost <strong>USD 5.05 million<\/strong> on average in 2025, versus <strong>USD 4.01 million<\/strong> for on-premises breaches, and the 2024 report showed those cases also took the longest to identify and contain. More complexity usually means more expensive recovery. <\/p>            <\/div>\n        <\/div>\n                <div class=\"elementskit-single-faq elementor-repeater-item-6gmsh7h\">\n            <div class=\"elementskit-faq-header\">\n                <h3 class=\"elementskit-faq-title\">Why do companies overestimate their recovery readiness?<\/h3>\n            <\/div>\n            <div class=\"elementskit-faq-body\">\n                <p>Because many measure backup existence instead of restore performance. Spanning found that more than <strong>60%<\/strong> believed they could recover from downtime within hours, but only <strong>35%<\/strong> actually could. Kaseya found the same 35% reality gap for under-a-day recovery. Confidence is common. Proven recoverability is much rarer. <\/p>            <\/div>\n        <\/div>\n                <div class=\"elementskit-single-faq elementor-repeater-item-s6www5q\">\n            <div class=\"elementskit-faq-header\">\n                <h3 class=\"elementskit-faq-title\">What is the fastest way to reduce the cost of data loss?<\/h3>\n            <\/div>\n            <div class=\"elementskit-faq-body\">\n                <p>The strongest lever is reducing time. IBM found extensive use of security AI and automation correlated with faster containment and lower breach costs, while internal detection shortened breach lifecycles and saved nearly <strong>USD 1 million<\/strong>. In practice, that means faster detection, protected backups, regular restore testing, and tighter control over hybrid environments. <\/p>            <\/div>\n        <\/div>\n                                <script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@type\":\"FAQPage\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"What is the average cost of data loss for a business?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<p>There is no single universal benchmark because different studies measure different events. IBM\u2019s 2025 global average breach cost was <strong>USD 4.4 million<\/strong>, Uptime found <strong>54%<\/strong> of significant outages cost more than <strong>USD 100,000<\/strong>, and Sophos put average ransomware recovery at <strong>USD 1.53 million<\/strong>. The safest conclusion is that data loss cost is a range, not one number. <\/p>\"}},{\"@type\":\"Question\",\"name\":\"Is data loss the same as a data breach?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<p>No. A data breach is one type of data loss event, but not the only one. Data loss can also come from outages, ransomware encryption, accidental deletion, bad integrations, hardware failure, or failed recovery. That is why IBM, Uptime, Splunk, and Sophos report different \u201ccost\u201d numbers that should not be treated as interchangeable. <\/p>\"}},{\"@type\":\"Question\",\"name\":\"Why does downtime make data loss so expensive?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<p>Downtime converts technical failure into business loss. Splunk estimated <strong>USD 400 billion<\/strong> in annual downtime costs for Global 2000 firms, with lost revenue, regulatory fines, and SLA penalties leading the bill. Uptime also found that more than half of significant outages cost over <strong>USD 100,000<\/strong>. When systems stop, revenue and trust stop with them. <\/p>\"}},{\"@type\":\"Question\",\"name\":\"Does paying the ransom solve the data loss problem?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<p>Not really. Verizon found <strong>64%<\/strong> of victim organizations did not pay ransoms, while Sophos still reported an average ransomware recovery cost of <strong>USD 1.53 million<\/strong> in 2025 and a median ransom payment of <strong>USD 1 million<\/strong>. Even when money changes hands, restoration, validation, cleanup, and business recovery still create major costs. <\/p>\"}},{\"@type\":\"Question\",\"name\":\"Which industries usually suffer the highest data loss costs?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<p>Healthcare and finance are among the most expensive sectors. IBM reported healthcare breach costs at <strong>USD 9.77 million<\/strong> in 2024, while financial firms averaged <strong>USD 6.08 million<\/strong>. These industries combine sensitive data, strict compliance obligations, and very low tolerance for downtime, which pushes both direct and hidden costs higher after incidents. <\/p>\"}},{\"@type\":\"Question\",\"name\":\"Why do hybrid cloud environments increase the cost of data loss?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<p>Hybrid environments spread data across public cloud, private cloud, and on-premises systems. IBM found breaches involving multiple environments cost <strong>USD 5.05 million<\/strong> on average in 2025, versus <strong>USD 4.01 million<\/strong> for on-premises breaches, and the 2024 report showed those cases also took the longest to identify and contain. More complexity usually means more expensive recovery. <\/p>\"}},{\"@type\":\"Question\",\"name\":\"Why do companies overestimate their recovery readiness?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<p>Because many measure backup existence instead of restore performance. Spanning found that more than <strong>60%<\/strong> believed they could recover from downtime within hours, but only <strong>35%<\/strong> actually could. Kaseya found the same 35% reality gap for under-a-day recovery. Confidence is common. Proven recoverability is much rarer. <\/p>\"}},{\"@type\":\"Question\",\"name\":\"What is the fastest way to reduce the cost of data loss?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<p>The strongest lever is reducing time. IBM found extensive use of security AI and automation correlated with faster containment and lower breach costs, while internal detection shortened breach lifecycles and saved nearly <strong>USD 1 million<\/strong>. In practice, that means faster detection, protected backups, regular restore testing, and tighter control over hybrid environments. <\/p>\"}}]}<\/script>\n                \n    <\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Cost of data loss statistics are often reduced to one scary number. That is the wrong way to read them. A serious data loss event does not create just one bill. It creates a stack of bills: incident response, downtime, missed revenue, legal work, customer remediation, delayed releases, backup restoration, and the long tail of rebuilding trust. That is why the smartest way to analyze data loss is to separate breach cost, downtime cost, and recovery cost instead of treating them as the same thing. The best current benchmarks already show how large that stack can become. IBM put the global average cost of a data breach at USD 4.4 [&hellip;]<\/p>\n","protected":false},"author":9,"featured_media":50692,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[547],"tags":[738],"class_list":["post-50685","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-wiki"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.0 (Yoast SEO v27.9) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Cost of Data Loss Statistics | Amagicsoft<\/title>\n<meta name=\"description\" content=\"Cost of data loss statistics reveal the true price of breaches, downtime, ransomware, and failed recovery. Explore the latest 2024\u20132025 data.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.amagicsoft.com\/jp\/news\/cost-of-data-loss-statistics.html\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cost of Data Loss Statistics: 2026 Business Cost Analysis\" \/>\n<meta property=\"og:description\" content=\"Cost of data loss statistics reveal the true price of breaches, downtime, ransomware, and failed recovery. Explore the latest 2024\u20132025 data.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.amagicsoft.com\/jp\/news\/cost-of-data-loss-statistics.html\" \/>\n<meta property=\"og:site_name\" content=\"Amagicsoft\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/amagicsoft.2024\/\" \/>\n<meta property=\"article:published_time\" content=\"2026-03-24T09:26:23+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.amagicsoft.com\/wp-content\/uploads\/2026\/03\/cost-of-data-loss-statistics.webp\" \/>\n\t<meta property=\"og:image:width\" content=\"1350\" \/>\n\t<meta property=\"og:image:height\" content=\"760\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/webp\" \/>\n<meta name=\"author\" content=\"Jason\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@Amagicsoft\" \/>\n<meta name=\"twitter:site\" content=\"@Amagicsoft\" \/>\n<meta name=\"twitter:label1\" content=\"\u57f7\u7b46\u8005\" \/>\n\t<meta name=\"twitter:data1\" content=\"Jason\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u63a8\u5b9a\u8aad\u307f\u53d6\u308a\u6642\u9593\" \/>\n\t<meta name=\"twitter:data2\" content=\"15\u5206\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/www.amagicsoft.com\\\/news\\\/cost-of-data-loss-statistics.html#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.amagicsoft.com\\\/news\\\/cost-of-data-loss-statistics.html\"},\"author\":{\"name\":\"Jason\",\"@id\":\"https:\\\/\\\/www.amagicsoft.com\\\/zh\\\/#\\\/schema\\\/person\\\/0578d4121e816aeb4661c464e92daf57\"},\"headline\":\"Cost of Data Loss Statistics: 2026 Business Cost Analysis\",\"datePublished\":\"2026-03-24T09:26:23+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/www.amagicsoft.com\\\/news\\\/cost-of-data-loss-statistics.html\"},\"wordCount\":3076,\"publisher\":{\"@id\":\"https:\\\/\\\/www.amagicsoft.com\\\/zh\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/www.amagicsoft.com\\\/news\\\/cost-of-data-loss-statistics.html#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.amagicsoft.com\\\/wp-content\\\/uploads\\\/2026\\\/03\\\/cost-of-data-loss-statistics.webp\",\"keywords\":[\"WiKi\"],\"articleSection\":[\"News\"],\"inLanguage\":\"ja\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.amagicsoft.com\\\/news\\\/cost-of-data-loss-statistics.html\",\"url\":\"https:\\\/\\\/www.amagicsoft.com\\\/news\\\/cost-of-data-loss-statistics.html\",\"name\":\"Cost of Data Loss Statistics | Amagicsoft\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.amagicsoft.com\\\/zh\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/www.amagicsoft.com\\\/news\\\/cost-of-data-loss-statistics.html#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/www.amagicsoft.com\\\/news\\\/cost-of-data-loss-statistics.html#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.amagicsoft.com\\\/wp-content\\\/uploads\\\/2026\\\/03\\\/cost-of-data-loss-statistics.webp\",\"datePublished\":\"2026-03-24T09:26:23+00:00\",\"description\":\"Cost of data loss statistics reveal the true price of breaches, downtime, ransomware, and failed recovery. Explore the latest 2024\u20132025 data.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/www.amagicsoft.com\\\/news\\\/cost-of-data-loss-statistics.html#breadcrumb\"},\"inLanguage\":\"ja\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/www.amagicsoft.com\\\/news\\\/cost-of-data-loss-statistics.html\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"ja\",\"@id\":\"https:\\\/\\\/www.amagicsoft.com\\\/news\\\/cost-of-data-loss-statistics.html#primaryimage\",\"url\":\"https:\\\/\\\/www.amagicsoft.com\\\/wp-content\\\/uploads\\\/2026\\\/03\\\/cost-of-data-loss-statistics.webp\",\"contentUrl\":\"https:\\\/\\\/www.amagicsoft.com\\\/wp-content\\\/uploads\\\/2026\\\/03\\\/cost-of-data-loss-statistics.webp\",\"width\":1350,\"height\":760,\"caption\":\"Cost of Data Loss Statistics\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/www.amagicsoft.com\\\/news\\\/cost-of-data-loss-statistics.html#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/www.amagicsoft.com\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cost of Data Loss Statistics: 2026 Business Cost Analysis\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/www.amagicsoft.com\\\/zh\\\/#website\",\"url\":\"https:\\\/\\\/www.amagicsoft.com\\\/zh\\\/\",\"name\":\"Amagicsoft\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\\\/\\\/www.amagicsoft.com\\\/zh\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/www.amagicsoft.com\\\/zh\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"ja\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/www.amagicsoft.com\\\/zh\\\/#organization\",\"name\":\"Amagicsoft\",\"url\":\"https:\\\/\\\/www.amagicsoft.com\\\/zh\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"ja\",\"@id\":\"https:\\\/\\\/www.amagicsoft.com\\\/zh\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/www.amagicsoft.com\\\/wp-content\\\/uploads\\\/2025\\\/04\\\/cropped-logo_512x512-1.webp\",\"contentUrl\":\"https:\\\/\\\/www.amagicsoft.com\\\/wp-content\\\/uploads\\\/2025\\\/04\\\/cropped-logo_512x512-1.webp\",\"width\":512,\"height\":512,\"caption\":\"Amagicsoft\"},\"image\":{\"@id\":\"https:\\\/\\\/www.amagicsoft.com\\\/zh\\\/#\\\/schema\\\/logo\\\/image\\\/\"},\"sameAs\":[\"https:\\\/\\\/www.facebook.com\\\/amagicsoft.2024\\\/\",\"https:\\\/\\\/x.com\\\/Amagicsoft\"]},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/www.amagicsoft.com\\\/zh\\\/#\\\/schema\\\/person\\\/0578d4121e816aeb4661c464e92daf57\",\"name\":\"Jason\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"ja\",\"@id\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/5e418e1d84edaecc0279eddcda6019a4b3148dfa0291bf7c28940c09838a090e?s=96&d=mm&r=g\",\"url\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/5e418e1d84edaecc0279eddcda6019a4b3148dfa0291bf7c28940c09838a090e?s=96&d=mm&r=g\",\"contentUrl\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/5e418e1d84edaecc0279eddcda6019a4b3148dfa0291bf7c28940c09838a090e?s=96&d=mm&r=g\",\"caption\":\"Jason\"},\"description\":\"Jason has over 15 years of hands-on experience in the computer data security industry. He specializes in data recovery, backup and restoration, and file repair technologies, and has helped millions of users worldwide resolve complex data loss and security issues.\",\"url\":\"https:\\\/\\\/www.amagicsoft.com\\\/jp\\\/author\\\/jason\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"\u30c7\u30fc\u30bf\u640d\u5931\u306e\u30b3\u30b9\u30c8\u7d71\u8a08\uff5cAmagicsoft","description":"\u30c7\u30fc\u30bf\u640d\u5931\u306e\u30b3\u30b9\u30c8\u7d71\u8a08\u306f\u3001\u4fb5\u5bb3\u3001\u30c0\u30a6\u30f3\u30bf\u30a4\u30e0\u3001\u30e9\u30f3\u30b5\u30e0\u30a6\u30a7\u30a2\u3001\u5fa9\u65e7\u306e\u5931\u6557\u306e\u771f\u306e\u4fa1\u683c\u3092\u660e\u3089\u304b\u306b\u3059\u308b\u30022024-2025\u5e74\u306e\u6700\u65b0\u30c7\u30fc\u30bf\u3092\u3054\u89a7\u304f\u3060\u3055\u3044\u3002.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.amagicsoft.com\/jp\/news\/cost-of-data-loss-statistics.html","og_locale":"ja_JP","og_type":"article","og_title":"Cost of Data Loss Statistics: 2026 Business Cost Analysis","og_description":"Cost of data loss statistics reveal the true price of breaches, downtime, ransomware, and failed recovery. Explore the latest 2024\u20132025 data.","og_url":"https:\/\/www.amagicsoft.com\/jp\/news\/cost-of-data-loss-statistics.html","og_site_name":"Amagicsoft","article_publisher":"https:\/\/www.facebook.com\/amagicsoft.2024\/","article_published_time":"2026-03-24T09:26:23+00:00","og_image":[{"width":1350,"height":760,"url":"https:\/\/www.amagicsoft.com\/wp-content\/uploads\/2026\/03\/cost-of-data-loss-statistics.webp","type":"image\/webp"}],"author":"Jason","twitter_card":"summary_large_image","twitter_creator":"@Amagicsoft","twitter_site":"@Amagicsoft","twitter_misc":{"\u57f7\u7b46\u8005":"Jason","\u63a8\u5b9a\u8aad\u307f\u53d6\u308a\u6642\u9593":"15\u5206"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.amagicsoft.com\/news\/cost-of-data-loss-statistics.html#article","isPartOf":{"@id":"https:\/\/www.amagicsoft.com\/news\/cost-of-data-loss-statistics.html"},"author":{"name":"Jason","@id":"https:\/\/www.amagicsoft.com\/zh\/#\/schema\/person\/0578d4121e816aeb4661c464e92daf57"},"headline":"Cost of Data Loss Statistics: 2026 Business Cost Analysis","datePublished":"2026-03-24T09:26:23+00:00","mainEntityOfPage":{"@id":"https:\/\/www.amagicsoft.com\/news\/cost-of-data-loss-statistics.html"},"wordCount":3076,"publisher":{"@id":"https:\/\/www.amagicsoft.com\/zh\/#organization"},"image":{"@id":"https:\/\/www.amagicsoft.com\/news\/cost-of-data-loss-statistics.html#primaryimage"},"thumbnailUrl":"https:\/\/www.amagicsoft.com\/wp-content\/uploads\/2026\/03\/cost-of-data-loss-statistics.webp","keywords":["WiKi"],"articleSection":["News"],"inLanguage":"ja"},{"@type":"WebPage","@id":"https:\/\/www.amagicsoft.com\/news\/cost-of-data-loss-statistics.html","url":"https:\/\/www.amagicsoft.com\/news\/cost-of-data-loss-statistics.html","name":"\u30c7\u30fc\u30bf\u640d\u5931\u306e\u30b3\u30b9\u30c8\u7d71\u8a08\uff5cAmagicsoft","isPartOf":{"@id":"https:\/\/www.amagicsoft.com\/zh\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.amagicsoft.com\/news\/cost-of-data-loss-statistics.html#primaryimage"},"image":{"@id":"https:\/\/www.amagicsoft.com\/news\/cost-of-data-loss-statistics.html#primaryimage"},"thumbnailUrl":"https:\/\/www.amagicsoft.com\/wp-content\/uploads\/2026\/03\/cost-of-data-loss-statistics.webp","datePublished":"2026-03-24T09:26:23+00:00","description":"\u30c7\u30fc\u30bf\u640d\u5931\u306e\u30b3\u30b9\u30c8\u7d71\u8a08\u306f\u3001\u4fb5\u5bb3\u3001\u30c0\u30a6\u30f3\u30bf\u30a4\u30e0\u3001\u30e9\u30f3\u30b5\u30e0\u30a6\u30a7\u30a2\u3001\u5fa9\u65e7\u306e\u5931\u6557\u306e\u771f\u306e\u4fa1\u683c\u3092\u660e\u3089\u304b\u306b\u3059\u308b\u30022024-2025\u5e74\u306e\u6700\u65b0\u30c7\u30fc\u30bf\u3092\u3054\u89a7\u304f\u3060\u3055\u3044\u3002.","breadcrumb":{"@id":"https:\/\/www.amagicsoft.com\/news\/cost-of-data-loss-statistics.html#breadcrumb"},"inLanguage":"ja","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.amagicsoft.com\/news\/cost-of-data-loss-statistics.html"]}]},{"@type":"ImageObject","inLanguage":"ja","@id":"https:\/\/www.amagicsoft.com\/news\/cost-of-data-loss-statistics.html#primaryimage","url":"https:\/\/www.amagicsoft.com\/wp-content\/uploads\/2026\/03\/cost-of-data-loss-statistics.webp","contentUrl":"https:\/\/www.amagicsoft.com\/wp-content\/uploads\/2026\/03\/cost-of-data-loss-statistics.webp","width":1350,"height":760,"caption":"Cost of Data Loss Statistics"},{"@type":"BreadcrumbList","@id":"https:\/\/www.amagicsoft.com\/news\/cost-of-data-loss-statistics.html#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.amagicsoft.com\/"},{"@type":"ListItem","position":2,"name":"Cost of Data Loss Statistics: 2026 Business Cost Analysis"}]},{"@type":"WebSite","@id":"https:\/\/www.amagicsoft.com\/zh\/#website","url":"https:\/\/www.amagicsoft.com\/zh\/","name":"\u30a2\u30de\u30b8\u30c3\u30af\u30bd\u30d5\u30c8","description":"","publisher":{"@id":"https:\/\/www.amagicsoft.com\/zh\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.amagicsoft.com\/zh\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"ja"},{"@type":"Organization","@id":"https:\/\/www.amagicsoft.com\/zh\/#organization","name":"\u30a2\u30de\u30b8\u30c3\u30af\u30bd\u30d5\u30c8","url":"https:\/\/www.amagicsoft.com\/zh\/","logo":{"@type":"ImageObject","inLanguage":"ja","@id":"https:\/\/www.amagicsoft.com\/zh\/#\/schema\/logo\/image\/","url":"https:\/\/www.amagicsoft.com\/wp-content\/uploads\/2025\/04\/cropped-logo_512x512-1.webp","contentUrl":"https:\/\/www.amagicsoft.com\/wp-content\/uploads\/2025\/04\/cropped-logo_512x512-1.webp","width":512,"height":512,"caption":"Amagicsoft"},"image":{"@id":"https:\/\/www.amagicsoft.com\/zh\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/amagicsoft.2024\/","https:\/\/x.com\/Amagicsoft"]},{"@type":"Person","@id":"https:\/\/www.amagicsoft.com\/zh\/#\/schema\/person\/0578d4121e816aeb4661c464e92daf57","name":"Jason","image":{"@type":"ImageObject","inLanguage":"ja","@id":"https:\/\/secure.gravatar.com\/avatar\/5e418e1d84edaecc0279eddcda6019a4b3148dfa0291bf7c28940c09838a090e?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/5e418e1d84edaecc0279eddcda6019a4b3148dfa0291bf7c28940c09838a090e?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/5e418e1d84edaecc0279eddcda6019a4b3148dfa0291bf7c28940c09838a090e?s=96&d=mm&r=g","caption":"Jason"},"description":"\u30b8\u30a7\u30a4\u30bd\u30f3\u306f\u3001\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30fc\u30fb\u30c7\u30fc\u30bf\u30fb\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u696d\u754c\u306715\u5e74\u4ee5\u4e0a\u306e\u5b9f\u52d9\u7d4c\u9a13\u304c\u3042\u308a\u307e\u3059\u3002\u30c7\u30fc\u30bf\u5fa9\u65e7\u3001\u30d0\u30c3\u30af\u30a2\u30c3\u30d7\u3068\u5fa9\u5143\u3001\u30d5\u30a1\u30a4\u30eb\u4fee\u5fa9\u6280\u8853\u3092\u5c02\u9580\u3068\u3057\u3001\u4e16\u754c\u4e2d\u306e\u4f55\u767e\u4e07\u4eba\u3082\u306e\u30e6\u30fc\u30b6\u30fc\u304c\u8907\u96d1\u306a\u30c7\u30fc\u30bf\u640d\u5931\u3084\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u554f\u984c\u3092\u89e3\u6c7a\u3067\u304d\u308b\u3088\u3046\u652f\u63f4\u3057\u3066\u304d\u307e\u3057\u305f\u3002.","url":"https:\/\/www.amagicsoft.com\/jp\/author\/jason"}]}},"_links":{"self":[{"href":"https:\/\/www.amagicsoft.com\/jp\/wp-json\/wp\/v2\/posts\/50685","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.amagicsoft.com\/jp\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.amagicsoft.com\/jp\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.amagicsoft.com\/jp\/wp-json\/wp\/v2\/users\/9"}],"replies":[{"embeddable":true,"href":"https:\/\/www.amagicsoft.com\/jp\/wp-json\/wp\/v2\/comments?post=50685"}],"version-history":[{"count":3,"href":"https:\/\/www.amagicsoft.com\/jp\/wp-json\/wp\/v2\/posts\/50685\/revisions"}],"predecessor-version":[{"id":50699,"href":"https:\/\/www.amagicsoft.com\/jp\/wp-json\/wp\/v2\/posts\/50685\/revisions\/50699"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.amagicsoft.com\/jp\/wp-json\/wp\/v2\/media\/50692"}],"wp:attachment":[{"href":"https:\/\/www.amagicsoft.com\/jp\/wp-json\/wp\/v2\/media?parent=50685"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.amagicsoft.com\/jp\/wp-json\/wp\/v2\/categories?post=50685"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.amagicsoft.com\/jp\/wp-json\/wp\/v2\/tags?post=50685"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}