The report "Enterprise Imaging IT Market by Function (VNA, PACS, Universal Viewer, Analytics), Modality (X-ray, MRI, CT, PET, SPECT, Mammo), Application (Diagnosis, Therapeutic, Theranostic), Therapy (Onco, Cardio, Neuro), End User, Region - Global Forecast to 2030", is projected to reach USD 4.12 billion by 2030 from USD 2.31 billion in 2025, at a CAGR of 12.2%.
Browse through 354 market data tables and 60 figures spread across 406 pages and the in-depth TOC on the “Enterprise Imaging IT Market - Global Forecast To 2030.”
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The increasing adoption of 3D and 4D imaging in surgical planning and interventional procedures is pushing hospitals to upgrade to enterprise platforms capable of handling large, dynamic datasets. Growth is further supported by the need for imaging IT systems that integrate seamlessly with digital pathology and genomics platforms, enabling multi-omics visualization in precision diagnostics. Additionally, the push toward ambient clinical intelligence is driving the demand for systems that support automated image annotation and real-time voice-command navigation within diagnostic workflows.
By function, the VNA segment is expected to grow at the highest rate during the forecast period.
By function, the market is divided into vendor-neutral archives (VNA), picture archiving and communication systems (PACS), image exchange, universal viewer, workflow orchestration, analytics, and other functions. The VNA segment is anticipated to expand at a considerable CAGR throughout the forecast period. The VNA market is propelled by the surge in non-DICOM data such as digital pathology slides, endoscopy videos, and point-of-care ultrasound clips, requiring a truly modality-agnostic repository. New regulations mandating extended retention of imaging for AI training purposes and medico-legal audits are also driving hospitals to replace siloed archives with VNAs that offer scalable, tamper-proof storage. Additionally, the push to integrate imaging into enterprise data lakes for advanced, cross discipline analytics is encouraging providers to invest in VNAs with native API frameworks and cloud bursting capabilities.
By offering, the software segment accounted for the market share in 2024.
Based on offering, the enterprise imaging IT market is segmented into software and services. In 2024, the software segment held the largest market share of the enterprise imaging IT market globally. The significant market share of this segment can be attributed to the rapid shift toward subscription-based licensing models that lower upfront costs and align software spend with actual imaging volumes. Health systems are also demanding API first, microservices-based architectures that enable plug-and-play integration of imaging modules with EHRs, digital pathology, and genomics platforms. Moreover, vendors embedding real-time BI engines and customizable reporting dashboards directly into their core software are meeting the need for deep, modality-specific performance analytics.
By region, North America accounted for the largest share of the enterprise imaging IT market in 2024.
In 2024, North America held the largest market share for enterprise imaging IT. The large share of this region can be attributed to several factors, including the rapid shift toward image-enabled EHR systems that support real-time clinical decision-making across multi-specialty teams. The growing emphasis on imaging data monetization through research collaborations, AI training datasets, and secondary use licensing is also encouraging investments in robust enterprise imaging infrastructure. Furthermore, the widespread deployment of remote peer review and tumor board solutions across academic medical centers is driving demand for interoperable, enterprise-scale imaging platforms.
Key Players
The prominent players in the enterprise imaging IT market include Agfa-Gevaert Group (Belgium), FUJIFILM Corporation (Japan), Merative (US), Pro Medicus, Ltd. (Australia), Optum, Inc. (US), GE HealthCare (US), Intelerad (Canada), Sectra AB (Sweden), CANON MEDICAL SYSTEMS CORPORATION (Japan), Hyland Software, Inc. (US), Koninklijke Philips N.V. (Netherlands), Siemens Healthineers AG (Germany), INFINITT Healthcare Co., Ltd. (South Korea), Novarad (US), Mach7 Technologies (US), Hermes Medical Solutions (Sweden), Konica Minolta, Inc. (Japan), BridgeHead Software Ltd. (England), Sclmage, Inc. (US), VISUS Health IT GmbH (Germany), Dicom Systems, Inc. (US), PostDICOM (Netherlands), Qaelum (Belgium), AdvaHealth Solutions (Singapore), PaxeraHealth (US), and Rad AI (US).
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