{"id":106303,"date":"2026-07-04T08:28:40","date_gmt":"2026-07-04T04:28:40","guid":{"rendered":"https:\/\/techxmedia.com\/en\/?p=106303"},"modified":"2026-07-04T08:28:41","modified_gmt":"2026-07-04T04:28:41","slug":"nutanix-healthcare-eci-2026-reveals-ai-readiness-gap","status":"publish","type":"post","link":"https:\/\/techxmedia.com\/en\/nutanix-healthcare-eci-2026-reveals-ai-readiness-gap\/","title":{"rendered":"Nutanix Healthcare ECI 2026 Reveals AI Readiness Gap"},"content":{"rendered":"\n

Nutanix<\/a> Healthcare Enterprise Cloud Index 2026 has revealed that healthcare organizations are accelerating artificial intelligence (AI) adoption despite lacking the infrastructure needed to support secure, compliant, and real-time AI workloads. The report highlights growing concerns around infrastructure readiness, shadow AI, containerization, and data sovereignty as AI moves closer to the point of care.<\/p>\n\n\n\n

Nutanix (NASDAQ: NTNX)<\/a>, a provider of hybrid multicloud computing solutions, published the healthcare edition of its eighth annual Enterprise Cloud Index (ECI). The report examines infrastructure readiness, AI adoption, and containerization trends across healthcare organizations worldwide.<\/p>\n\n\n\n

According to the findings, AI deployment is increasingly being driven by executive leadership. At the same time, AI applications are spreading across clinical and administrative functions without formal IT oversight. Meanwhile, healthcare organizations continue to face infrastructure limitations that could hinder safe AI implementation.<\/p>\n\n\n\n

The report noted that up to 75% of healthcare data is expected to be generated at the point of care. As a result, healthcare providers require infrastructure capable of delivering secure, low-latency AI processing while maintaining compliance and clinical governance.<\/p>\n\n\n\n

Sammy Zoghlami, SVP EMEA at Nutanix, said clinicians are increasingly adopting AI because they believe it can improve healthcare delivery. However, he noted that 88% of healthcare organizations report their infrastructure is not ready to support on-premises AI workloads. He added that nearly four out of five organizations are already experiencing AI deployments outside IT oversight, creating risks that could eventually affect patient safety if infrastructure gaps are not addressed.<\/p>\n\n\n\n

The survey found that shadow AI has become widespread across healthcare organizations. Around 79% of respondents said employees outside IT departments are implementing AI applications or AI agents. Additionally, 83% believe AI tools operating without official oversight create business risks. The same percentage also reported that silos between business units and IT teams make technology initiatives more difficult to execute.<\/p>\n\n\n\n

Furthermore, infrastructure readiness remains a major challenge. The report found that 88% of healthcare IT leaders believe their current infrastructure is not fully prepared to support AI workloads on-premises. This is significant because AI inference at the point of care is increasingly viewed as essential for reducing latency in clinical environments.<\/p>\n\n\n\n

According to the report, a single patient room can generate up to 7TB of data annually. In addition, intensive care unit (ICU) beds may include between 15 and 20 connected medical devices. Consequently, healthcare providers require local AI processing to maintain clinical continuity and minimize delays.<\/p>\n\n\n\n

The Nutanix Healthcare Enterprise Cloud Index 2026 also found that AI is accelerating application containerization across the healthcare sector. About 86% of respondents said AI is significantly increasing container adoption. Meanwhile, 81% expect application containerization to grow within their organizations, while 80% are already developing new applications using containers.<\/p>\n\n\n\n

The report explained that containerized applications allow healthcare organizations to deploy AI models securely at the bedside while keeping sensitive patient data within hospital environments. This approach also supports real-time AI insights without compromising network performance.<\/p>\n\n\n\n

Healthcare IT leaders also expressed strong confidence in AI agents. Around 58% expect AI agents to improve productivity and operational efficiency. Meanwhile, 57% believe AI agents will transform business processes, and 55% expect them to enable new products, services, or revenue opportunities.<\/p>\n\n\n\n

Looking ahead, 62% of respondents expect generative AI to become widely used within three years. Additionally, 57% anticipate adopting agentic AI or autonomous agents, while 55% expect broader use of predictive analytics and machine learning models.<\/p>\n\n\n\n

Data sovereignty also emerged as a key priority. According to the survey, 72% of healthcare organizations consider data sovereignty a high priority or essential requirement when making infrastructure decisions. Meanwhile, 54% already run containerized applications on-premises or through private clouds. The same percentage said they need infrastructure located within a single country to meet customer expectations and regulatory requirements surrounding protected health information (PHI).<\/p>\n\n\n\n

The report also found that AI adoption is expected to accelerate rapidly. Around 55% of healthcare organizations anticipate running more than five AI-enabled applications within the next three years. Of those, 12% expect to operate more than 10 AI applications. Currently, 63% already deploy AI applications through managed service providers, while hybrid deployment models are expected to remain the preferred approach.<\/p>\n\n\n\n

According to the report, these findings indicate that healthcare organizations are expanding AI adoption faster than they are modernizing their supporting infrastructure. As AI increasingly moves from centralized environments to bedside clinical settings, organizations will need secure, scalable, and compliant platforms capable of supporting both centralized and local AI workloads.<\/p>\n\n\n\n

The report added that healthcare providers currently manage workloads across on-premises environments, private clouds, and managed services. However, many organizations still lack unified infrastructure strategies that can consistently support AI applications while maintaining governance and regulatory compliance.<\/p>\n\n\n\n

Commenting on the findings, Assem Al Achkar, Public Sector Sales Manager, South Gulf, Nutanix, said healthcare organizations across the Middle East are increasingly viewing AI as a strategic tool for improving patient outcomes, operational efficiency, and clinical innovation. He noted that many providers are also recognizing that existing infrastructure was not designed for the demands of real-time AI workloads.<\/p>\n\n\n\n

He added that healthcare leaders across the region are prioritizing data residency, regulatory compliance, and low-latency access to clinical insights. As a result, hybrid multicloud architectures and modern application platforms are becoming increasingly important. According to Al Achkar, organizations that modernize their infrastructure will be better positioned to deploy AI safely, accelerate innovation, and deliver more connected, patient-centric healthcare services.<\/p>\n\n\n\n

The research was conducted by Wakefield Research in November 2025 on behalf of Nutanix. The global survey included 1,600 cloud, IT, and engineering executives at manager level or above from organizations with at least 500 employees. Respondents represented Australia, Brazil, France, Germany, India, Italy, Japan, Mexico, the Netherlands, the Kingdom of Saudi Arabia, Singapore, Spain, the United Kingdom, and the United States. The Nutanix Healthcare Enterprise Cloud Index 2026 presents findings specifically from healthcare sector respondents within that global survey.<\/p>\n","protected":false},"excerpt":{"rendered":"

Nutanix Healthcare Enterprise Cloud Index 2026 has revealed that healthcare […]<\/p>\n","protected":false},"author":67,"featured_media":106304,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[54,9624],"tags":[598],"contributor":[9732],"class_list":["post-106303","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-health-tech","category-smart-sectors","tag-healthcare-2","contributor-news-desk"],"featured_image_src":"https:\/\/techxmedia.com\/en\/wp-content\/uploads\/2026\/07\/Nutanix.jpg","author_info":{"display_name":"Muhsin","author_link":"https:\/\/techxmedia.com\/en\/author\/muhsin\/"},"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/posts\/106303","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/users\/67"}],"replies":[{"embeddable":true,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/comments?post=106303"}],"version-history":[{"count":1,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/posts\/106303\/revisions"}],"predecessor-version":[{"id":106305,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/posts\/106303\/revisions\/106305"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/media\/106304"}],"wp:attachment":[{"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/media?parent=106303"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/categories?post=106303"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/tags?post=106303"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/contributor?post=106303"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}