Emerging Healthcare Technology: What You Need to Know in 2025 & Beyond

Healthcare technology innovations include AI-powered diagnostics for faster and more precise disease detection and connected medical devices, powered by the Internet of Things (IoT), to provide continuous monitoring of patient vitals. Such solutions reduce the risk of medical errors and enable proactive interventions in disease management. These technologies enhance patient outcomes and reduce the pressure on healthcare infrastructure by optimizing resource allocation and reducing the need for frequent hospital visits.

With the rise of telemedicine, robotic-assisted surgery, big data, and analytics, stakeholders in the healthcare sector must quickly adapt to these emerging technologies to remain competitive, meet the growing demand for personalized care, and streamline operational efficiency. This report dives into the latest technological advancements in healthcare to offer insights into how these innovations in healthcare improve the future of care delivery.

Why should you read this report?

• Gain in-depth insights into the top 10 technologies impacting healthcare.
• Learn about three practical use cases for each advanced technology in healthcare.
• Meet 10 innovative startups advancing these technologies.

 

 

Key Takeaways

1. Artificial Intelligence (AI)
   • Use Cases:
     • Diagnostic Assistance
     • Patient Data Analysis
     • Treatment Personalization
   • Startup to Watch: Eyetelligence
2. Augmented Reality (AR) & Virtual Reality (VR)
   • Use Cases:
     • Medical Training & Education
     • Enhanced Surgical Visualization
     • Patient Rehabilitation
   • Startup to Watch: FYR Medical
3. Big Data & Analytics
   • Use Cases:
     • Population Health Management
     • Clinical Data Analysis
     • Outcome Prediction & Analysis
   • Startup to Watch: Idan Health
4. Blockchain
   • Use Cases:
     • Patient Record Sharing
     • Drug Traceability
     • Clinical Data Integrity
   • Startup to Watch: Vigorus Healthtech Private Limited
5. CleanTech
   • Use Cases:
     • Sustainable Hospital Design
     • Energy-Efficient Medical Equipment
     • Eco-Friendly Waste Disposal
   • Startup to Watch: NuGreen
6. Cloud Computing
   • Use Cases:
     • Cloud-based Electronic Health Records (EHRs)
     • Telemedicine Platforms
     • Centralized Patient Data
   • Startup to Watch: azuma healthtech
7. Connectivity Technologies
   • Use Cases:
     • Connected Medical Devices
     • Telehealth Services
     • Hospital Network Management
   • Startup to Watch: Luna XIO
8. Internet of Things
   • Use Cases:
     • Connected Medical Devices
     • Patient Monitoring
     • Smart Hospital Management
   • Startup to Watch: JSIO
9. Advanced Robotics
   • Use Cases:
     • Robotic Surgical Assistants
     • Patient Care Robots
     • Remote Surgeries
   • Startup to Watch: LegsGo
10. Biometrics
    • Use Cases:
      • Patient Identification
      • Secure Medical Data Access
      • Health Monitoring Devices
    • Startup to Watch: BioTwin

Healthcare Industry FAQs

What are the next-generation healthcare technologies?

• Quantum computing accelerates drug discovery by simulating molecular interactions to speed up the development of new treatments.
• Advanced AI models integrate multimodal data, including genomics, imaging, and clinical records, to provide personalized and predictive healthcare solutions.
• CRISPR-based gene-editing technologies treat genetic disorders to offer potential cures for previously untreatable diseases.
• Smart bio-implants and neural interfaces monitor and interact with the body’s systems in real time to provide treatments for neurological and chronic conditions.
• Synthetic biology for personalized medicine allows for the custom design of living cells to produce tailored therapies.
• Digital twins create virtual models of patients for more accurate treatment planning and simulations before actual interventions.

Where We Get Our Data From

StartUs Insights gathers data through its exhaustive Discovery Platform, covering information on 4.7 million startups, scaleups, and tech companies globally, alongside 20,000 emerging technologies and trends. The Discovery Platform accelerates startup and technology scouting, trend intelligence, and patent searches, offering thorough insights into technological advancements. By leveraging the trend intelligence feature for this report, we identified emerging technologies within specific industries. This process allows us to uncover patterns and trends, and pinpoint relevant use cases and the startups creating solutions for each scenario. Additional capabilities and information can be found at StartUs Insights Discovery Platform.

10 Emerging Technologies in Healthcare [2025 & Beyond]

1. Artificial Intelligence

Machine learning (ML) and deep learning process and analyze vast amounts of medical data to improve decision-making and diagnosis. Natural language processing (NLP) enables AI systems to interpret and manage unstructured clinical data, such as physician notes and medical records, to enhance data accessibility. Generative AI when applied to synthesize medical research further provides predictive insights for drug discovery and treatment development. AI-driven automation platforms enhance hospital management by optimizing scheduling, resource allocation, and workflow efficiency.

3 Practical Use Cases of AI in Healthcare

• Diagnostic Assistance: AI improves diagnostic assistance by analyzing complex medical images, identifying patterns, and suggesting potential diagnoses that aid healthcare professionals in decision-making. This reduces human error and increases early detection rates with effective treatments.
• Patient Data Analysis: Processing of clinical data showcases trends and correlations that assist healthcare providers in understanding patient conditions. By extracting insights from diverse data sources, AI enhances clinical decision support systems (CDSS) and optimizes patient care pathways.
• Treatment Personalization: Predictive algorithms assess patient-specific data, such as genetics and lifestyle, to recommend tailored treatment plans. This approach increases treatment success by aligning interventions with the patient’s needs and avoiding a one-size-fits-all approach.

Startup to Watch: Eyetelligence

Australian startup Eyetelligence develops Assure and Assure+, AI-enabled software solutions for eye disease screening and cardiovascular risk assessment. They analyze digital retinal images to detect early signs of glaucoma, diabetic retinopathy, neovascular age-related macular degeneration, and cardiovascular disease risks. The plug-and-play technology integrates with cameras to enable non-invasive early detection and evidence-based reporting.

2. Augmented Reality & Virtual Reality

In the healthcare industry, AR overlays digital images on live views for surgeons to access critical patient data in real time through smart glasses or headsets to enhance surgical precision. This also applies in advanced imaging for diagnostics, where 3D visualizations of organs and tissues provide accurate assessments. VR utilizes immersive headsets and haptic devices to provide a controlled virtual environment for medical training, simulate complex surgeries, and enable repeated practice without patient risk. Additionally, VR in mental health therapy and pain management offers immersive experiences that assist in cognitive behavioral therapy and reduce patient discomfort. Spatial computing and AI integration further enhance the accuracy and application of these technologies for more precise and personalized healthcare solutions.

3 Practical Use Cases of AR & VR in Healthcare

• Medical Training & Education: AR & VR immerse students in 3D simulations of complex medical scenarios and allow them to practice procedures and decision-making in risk-free environments. This immersive learning provides a deeper understanding, and better retention to simulate rare or critical cases.
• Enhanced Surgical Visualization: In surgical environments, AR and VR offer detailed, interactive 3D representations of a patient’s anatomy, which surgeons view in real time through devices. These systems provide depth perception and spatial awareness to understand the relationships between tissues, organs, and surgical instruments during complex procedures. This allows more intricate operations, particularly minimally invasive surgeries.
• Patient Rehabilitation: AR and VR deliver interactive, personalized exercises that patients engage within virtual environments for faster recovery from physical injuries or neurological conditions. By tracking movements and adjusting therapy in real-time, these tools enhance motivation and adherence to rehabilitation programs. Further, they optimize therapy outcomes, monitor patients remotely, and reduce frequent in-person visits to increase the accessibility and effectiveness of rehabilitation programs.

Startup to Watch: FYR Medical

US-based startup FYR Medical builds light field extended reality (XR) eyewear to provide real-time augmented imagery. It uses electro-optical technology to process light fields for displaying complex 3D volumetric data and viewing patient anatomy. The lightweight device offers spatial depth perception, minimal eye strain, and mixed reality capabilities with occlusion control for it to function in both brightly lit operating rooms and dark laboratory environments. The company’s XR platform integrates with existing medical imaging systems like computed tomography (CT) and magnetic resonance imaging (MRI) to provide situational awareness and real-time data for enhanced decision-making and patient outcomes.

3. Big Data & Analytics

Big data manages complex datasets to improve patient outcomes and optimize operations. Its technologies include cloud-based platforms that store, share, and analyze medical data securely while supporting interoperability between different healthcare systems. ML algorithms analyze multi-omic data such as genomics, proteomics, and transcriptomics to provide insights for precision medicine and drug development. Additionally, natural language processing analyzes unstructured clinical data to enhance clinical decision support and predictive analytics.

3 Practical Use Cases of Big Data & Analytics in Healthcare

• Population Health Management: Big data analyzes large datasets from diverse populations to identify trends in health risks, disease patterns, and healthcare utilization. This application enhances preventative care by allowing for early interventions, reducing the spread of chronic diseases, and improving overall public health outcomes.
• Clinical Data Analysis: The integration of clinical records, lab results, and other health data generates insights that support evidence-based medical decisions. Big data finds patterns in treatment effectiveness, patient responses, and adverse reactions to optimize patient care and treatment protocols. This improves diagnostic accuracy and patient outcomes while making efficient use of clinical resources.
• Outcome Prediction & Analysis: Big data uses predictive analytics to assess patient risk factors and forecast health outcomes based on historical and real-time data. It assists in personalizing treatment plans according to the health profile to reduce complications and improve recovery rates. Such predictive capability refines decision-making processes, lowers readmission rates, and enhances the overall care quality.

Startup to Watch: Idan Health

Israeli startup Idan Health offers an AI-driven clinical trial platform that collects, monitors, and aggregates real-world healthcare data into insights. It protocols and accesses health data to run clinical trials with efficiency and precision. Moreover, the company’s platform provides multisource databases for process prediction, symptom monitoring, and personalized predictive medicine. Additionally, its patient engagement app enhances patient participation by offering personalized insights and strategies to manage their conditions. Thus, the platform improves data access, reduces costs, and optimizes trial management to enhance global health outcomes through data-led, personalized approaches.

4. Blockchain

Blockchain provides secure, transparent, and decentralized solutions for data management. Public blockchains provide an open, decentralized ledger to ensure transparency, security, and immutability for handling patient records, clinical trials, and pharmaceutical supply chains. Meanwhile, private blockchains operate within a controlled environment to offer enhanced privacy and compliance while aligning with healthcare regulations. Blockchain solutions also feature cryptographic hashing for data protection, decentralized storage for resilience against breaches, and smart contracts for automating and verifying healthcare transactions.

3 Practical Use Cases of Blockchain in Healthcare

• Patient Record Sharing: Secure and decentralized patient record sharing allows healthcare providers to access up-to-date medical histories through encrypted, tamper-proof ledgers. This keeps the patient data confidential and accurate by reducing errors and streamlining communication across different healthcare systems. Moreover, blockchain improves interoperability and enhances data security.
• Drug Traceability: Blockchain tracks the lifecycle of pharmaceuticals, from manufacturing to distribution, by creating an immutable record of every transaction. This prevents counterfeit drugs from entering the supply chain and ensures that patients receive authentic medications. It enhances regulatory compliance, improves supply chain transparency, and mitigates the risk of harmful drugs reaching the market.
• Clinical Data Integrity: Storing trial results and medical research data on an immutable ledger keeps the information unchanged and verifiable. This improves transparency and trust in clinical studies and prevents data manipulation or fraud. Also, it offers more reliable research outcomes to improve treatment developments and enhance patient care.

Startup to Watch: Vigorus Healthtech

Indian startup Vigorus Healthtech builds Chikitsa.io, an AI-powered, blockchain-secured hospital management information system (HMIS) to streamline healthcare management and operations. This cloud-based platform combines IoT, ML, and blockchain to automate outpatient workflows and provide hospitals with secure data management and real-time analytics. Further, the company offers a patient identity system for managing medical records and improving operational efficiency across various hospital departments, including clinic, pharmacy, and lab management. Also, the system automates sample tracking and secures cloud-based records to enhance patient care, reduce errors, and simplify claims management.

5. CleanTech

Renewable energy solutions integrate into healthcare infrastructure to reduce dependency on traditional energy sources. Technologies like solid-state refrigerants for heating, ventilation, and air conditioning (HVAC) systems further reduce carbon emissions in hospitals. Additionally, carbon capture and storage (CCS) solutions offset the environmental impact of healthcare facilities by capturing CO2 emissions and converting them into usable resources. AI-driven platforms also monitor energy consumption and optimize the performance of healthcare facilities.

3 Practical Use Cases of CleanTech in Healthcare

• Sustainable Hospital Design: Energy-efficient systems, green building materials, and renewable energy sources reduce the overall environmental footprint, lower operational costs, and create healthier indoor environments in hospitals. Also, it provides long-term cost savings, compliance with environmental regulations, and improved public perception.
• Energy-Efficient Medical Equipment: The integration of energy-efficient medical equipment optimizes power consumption without compromising performance and reduces the energy load on healthcare facilities. This lowers energy bills, decreases the demand for non-renewable energy sources, and reduces greenhouse gas emissions.
• Eco-Friendly Waste Disposal: Eco-friendly waste disposal uses waste management systems, such as waste-to-energy (WTE) technologies and biodegradable materials, to safely process and reduce the environmental impact of medical waste. These methods minimize landfill use and toxic emissions while making the disposal process cleaner and more sustainable.

Startup to Watch: NuGreen

UK-based startup NuGreen conducts granular waste audits for healthcare organizations by measuring and reducing their Scope 3 emissions. The company’s four-stage process that starts with collecting detailed data by counting individual waste items within streams and tracking material flows. The analyzed data is used to create personalized dashboards and identify high-priority areas for waste reduction based on cost and carbon emissions. In the final stage, NuGreen revisits the data to measure the success of implemented strategies and provide real-time insights into cost and carbon savings while ensuring continuous improvement.

 

 

6. Cloud Computing

Cloud computing manages and processes patient data to store electronic health records, medical images, and other sensitive data on remote servers while increasing operational efficiency. Cloud infrastructure enhances data security through advanced encryption and backup mechanisms for ensuring compliance with regulations. Moreover, cloud environments support interoperability for healthcare systems to share and analyze data more effectively.

3 Practical Use Cases of Cloud Computing in Healthcare

• Cloud-based EHRs: Store and access patient records in real time for data sharing and improving the efficiency of healthcare delivery across multiple locations. This approach reduces the costs associated with physical servers, enhances data security with encrypted storage, and ensures compliance with health regulations.
• Telemedicine Platforms: Provide virtual healthcare services to connect patients with medical professionals through secure, web-based applications. This reduces physical visits and makes healthcare more accessible, especially for those in rural or underserved areas. For healthcare providers, cloud-based telemedicine improves patient engagement, reduces overhead costs, and expands the reach of healthcare services without additional infrastructure.
• Centralized Patient Data: By centralizing patient data in the cloud, healthcare institutions enable real-time collaboration between specialists and enhance the accuracy of diagnoses and treatment plans. This centralized system supports data analytics and ML applications to improve decision-making by identifying patterns in patient health trends. This assists with improved data interoperability and care coordination.

Startup to Watch: azuma healthtech

German startup azuma healthtech develops domain-specific cloud building blocks to provide modular, secure, and interoperable solutions. The company’s azuma mimoto module simplifies patient login via healthID integration to enable authentication through an openID connect (OIDC) system. The azuma doa platform offers identity and access management to support federated single sign-on (SSO) and multi-tenancy for enhancing user management while maintaining high security and compliance standards. azuma hashi provides healthcare professionals with access to medical master data, such as systematized nomenclature of medicine (SNOMED) and international classification of diseases (ICD) codes, through a GraphQL API for the latest updates and streamlined workflows. Together, these modules assist healthcare providers in optimizing processes, reducing development time, and enhancing security and patient care.

7. Connectivity Technologies

Connectivity technologies enable faster and more reliable communication across medical systems. For instance, 5G offers high-speed, low-latency connectivity for real-time data transmission and remote healthcare services. Distributed antenna systems (DAS) enhance connectivity within complex hospital infrastructures by mitigating signal disruptions to ensure continuous mobile communication throughout medical facilities. Additionally, advancements in secure messaging and unified communications integrate various communication modalities while maintaining data security standards.

3 Practical Use Cases of Connectivity Technologies in Healthcare

• Connected Medical Devices: Enable real-time monitoring systems to continuously transmit patient data to healthcare professionals. This allows faster detection of anomalies and more immediate interventions. Such connected devices lower hospitalization rates and enhance chronic disease management.
• Telehealth Services: Connectivity technologies create secure, high-speed communication channels that support video consultations, remote diagnostics, and care delivery to patients in underserved or remote areas. These platforms reduce physical appointments, increase patient engagement, lower operational costs, and extend services without expanding physical facilities.
• Hospital Network Management: Centralizing data and communication systems across departments optimizes patient record access for the management of medical equipment. This enhances operational efficiency and reduces system downtimes. Also, it improves hospital workflows, fewer administrative bottlenecks, and coordinated care delivery.

Startup to Watch: Luna XIO

US-based startup Luna XIO offers real-time healthcare visibility solutions using Bluetooth low energy (BLE) connectivity. The company’s Luna Tracker enables hospitals to transform any BLE-enabled device into a tracker for asset management and remote monitoring without additional infrastructure. This BLE-based technology integrates with existing hospital management systems for real-time tracking of patient health, medical equipment, and pharmaceutical conditions. Also, the company’s other product, Luna XIO, delivers telehealth and remote patient monitoring by capturing health data via BLE-enabled sensors. These products streamline operations by enabling real-time data transmission, improving patient care, and optimizing resource use.

8. Internet of Things

IoT connects medical devices, systems, and data streams to improve patient monitoring, precise data analysis, and streamlined operational processes. Medical-grade sensors and wearable electrocardiogram (ECG) monitors gather real-time health metrics like heart rate, blood pressure, and glucose levels. These interconnected systems provide continuous patient data and integrate with EHRs to enhance patient care and operational efficiency.

3 Practical Use Cases of the Internet of Things in Healthcare

• Connected Medical Devices: Remote patient monitoring systems track heart rate, blood pressure, and glucose levels and send this data directly to healthcare providers for immediate analysis and intervention. This real-time connectivity manages chronic conditions to reduce frequent hospital visits.
• Patient Monitoring: IoT-based systems continuously monitor physical activity and other health metrics, and send alerts to healthcare teams when reaching critical thresholds. This early detection of health changes reduces response time and prevents complications by managing post-surgical recovery. Also, it lowers costs by reducing readmissions and provides data-informed treatments.
• Smart Hospital Management: Automation of workflows such as inventory tracking, equipment maintenance, and energy management improves operational efficiency and resource allocation. These automated systems allow hospitals to maintain a streamlined flow of operations by optimizing from staffing to patient admissions. It increases operational transparency, reduces downtime, and enables efficient medical resource allocation.

Startup to Watch: JSIO

Portuguese startup JSIO offers an IoT development framework that integrates configurable multi-purpose hardware and secured communication protocols based on Web3 and blockchain. It also combines server software, and a mobile application, all controlled using JavaScript for the hospitals. This framework eliminates specialized technical knowledge by abstracting low-level programming to control hardware with JavaScript. Its advanced security system, enhanced with blockchain and non-fungible tokens (NFT), ensures patient data integrity and protection throughout transactions.

9. Advanced Robotics

The latest robotic systems incorporate AI and ML algorithms to analyze data in real time for accurate control during medical procedures. These systems utilize force sensors and enhanced haptic feedback to respond to a surgeon’s movements or environmental changes. Robotics integrate computer vision and 3D mapping to enhance navigation during surgeries. Additionally, autonomous robotic platforms automate complex tasks such as diagnostics, rehabilitation, and patient interactions.

3 Practical Use Cases of Advanced Robotics in Healthcare

• Robotic Surgical Assistants: Enhance precision in surgeries by providing surgeons with controlled instruments for minimally invasive procedures. They reduce complication risks and improve recovery times and patient outcomes while performing complex operations with less fatigue.
• Patient Care Robots: Automate routine tasks such as patient mobility assistance and medication delivery. These robots improve patient comfort, reduce human error, and ensure timely care, particularly in settings with high patient-to-staff ratios. Also, they enhance operational efficiency, reduce labor costs, and improve patient satisfaction.
• Remote Surgeries: Advanced robotics perform procedures on patients from distant locations through teleoperated robotic systems. This provides access to specialized care and allows patients in remote and underserved areas. Robots also provide equitable healthcare access by reducing geographical barriers and allowing surgeons to extend their expertise beyond their physical location.

Startup to Watch: LegsGo

Egyptian startup LegsGo develops a medical robotic exoskeleton to enhance mobility for patients with severe spinal cord injuries. This device assists in rehabilitation by mimicking the natural human gait. Its benefits include improved patient outcomes, cost-effectiveness, and advanced safety features for a secure and reliable recovery process.

10. Biometrics

The integration of facial recognition and iris scanning with electronic medical records (EMR) systems ensures secure and accurate patient identification by offering touchless authentication. The use of fingerprint and vein pattern recognition in sensitive areas like lab environments provides high-security access to restricted spaces while safeguarding medical data and equipment. The integration of multimodal biometrics, which combines two or more biometric methods, allows for higher accuracy and reduces the risk of fraud or misidentification. Advances in AI and ML further enhance these systems by improving the speed and accuracy of biometric data processing to enable real-time identification in healthcare facilities.

3 Practical Use Cases of Biometrics in Healthcare

• Patient Identification: Biometrics streamlines patient identification by using unique biological markers to verify patient identities at each point of care. This eliminates the risks of misidentification and ensures that patients receive the right treatments with reduced administrative errors.
• Secure Medical Data Access: The replacement of traditional passwords with fingerprint or facial scans allows only authorized personnel to access sensitive patient information. This approach strengthens data protection by preventing unauthorized access and reducing the risks of data breaches or misuse.
• Health Monitoring Devices: Biometrics enables continuous and personalized tracking of patient health metrics through wearables that authenticate users via unique biological characteristics. These devices provide real-time feedback to healthcare providers for timely interventions and more tailored care.

Startup to Watch: BioTwin

BioTwin is a Canadian startup that provides an AI-driven platform that creates a virtual copy of individuals using biomarkers and biometric data. The company gathers biological samples, such as blood, urine, and saliva, as well as data from wearables to create the virtual twins. These virtual twins offer insights into personalized and preventive healthcare through simulations, health projections, and early disease detection.

Outlook for the Healthcare Industry

Patents & Grants

Innovation is evidenced by over 281K patents and more than 20.5K grants, showcasing a strong commitment to research and development within the industry.

 

For more actionable insights, download our free Healthcare Innovation Report.

 

Investment Landscape

The average investment value stands at USD 13 million. The top 5 investors include MassChallenge, Techstars, Y Combinator, Google for Startups, and Digitalhealth London Accelerator. Moreover, the top 5 Funding Types are SEED, Early Stage VC/Series A, Pre Seed, and Angel.

Global Footprint

The report identifies the USA, UK, India, Canada, and Australia as leading hubs, with key cities – New York City, London, Sydney, Melbourne, and Toronto – spearheading the industry’s global reach.

Leverage Healthcare Technology Innovations

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Trusted by industry leaders like Samsung, Nestlé, and Magna, we provide unmatched data, a 360-degree industry view, and data-driven intelligence for confident strategic decisions. For instance, here is what Tessy Huss, the Head of Market Research of HealthXL says about our platform, “The StartUs Insights Platform is a great resource to the team at HealthXL. The platform helps us find new and relevant startups in Digital Health.”

Like this, leverage our innovation services to optimize costs, streamline operations, and stay ahead of the curve. Get in touch today to explore how our comprehensive innovation intelligence can drive your success.

 

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