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Digital Brain Health Market - Global Industry Size, Share, Trends Opportunity, and Forecast, 2028F

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    Report

  • 182 Pages
  • October 2023
  • Region: Global
  • TechSci Research
  • ID: 5900231
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Global Digital Brain Health Market has valued at USD 193.45 billion in 2022 and is anticipated to project robust growth in the forecast period with a CAGR of 9.28% through 2028. Digital Brain Health are designed to enhance the regular diet by providing individuals with the necessary daily nutritional value. Vitamins play crucial roles in the development and proper functioning of the body, acting as hormones, coenzymes, and antioxidants. Various factors such as shifting dietary preferences, busy lifestyles, rising employment rates, and increased awareness of the health benefits associated with Digital Brain Health are expected to positively influence the global market growth.

Due to hectic schedules, many individuals struggle to maintain a balanced diet, resulting in nutrient deficiencies. Consequently, there has been a significant rise in the consumption of Digital Brain Health to fulfill daily nutrient and vitamin requirements, promoting overall health and vitality. Furthermore, the increasing healthcare expenditure worldwide is anticipated to drive the demand for Digital Brain Health. Additionally, the growing elderly population in both developed and developing economies presents lucrative opportunities for market players in the forecast period. The senior population, in particular, relies on Digital Brain Health to meet their dietary needs, promote bone health, and support overall well-being.

Key Market Drivers

Aging Population and Cognitive Health Concerns

One of the primary reasons behind the aging population is the substantial increase in life expectancy worldwide. Advances in healthcare, nutrition, and medical treatments have led to longer lifespans. Many developed countries are experiencing lower birth rates, resulting in a higher proportion of elderly citizens relative to the overall population. This demographic shift underscores the importance of addressing age-related health concerns.

With the aging population comes a higher prevalence of cognitive disorders, such as Alzheimer's disease and various forms of dementia. These conditions can severely impact the quality of life for individuals and their families. Even in the absence of clinical disorders, age-related cognitive decline is common. Many individuals seek solutions to maintain cognitive function and prevent decline as they age. Cognitive health issues are associated with substantial healthcare expenditures. Governments and healthcare providers are under pressure to find cost-effective solutions to address the growing burden of cognitive disorders. To mitigate the long-term healthcare costs associated with cognitive health conditions, there is a growing emphasis on preventive measures and early intervention.A rising awareness of cognitive health has emerged among consumers, driven by media coverage, educational campaigns, and advocacy groups. People are proactively seeking ways to maintain and enhance their cognitive abilities. As consumers become more health-conscious, there is a heightened demand for digital brain health solutions that offer personalized cognitive training, brain assessments, and interventions.

Advances in technology, including artificial intelligence (AI) and machine learning, enable the development of personalized brain health solutions. These technologies can tailor interventions to individual needs, making them more effective. Digital brain health tools are accessible through smartphones, tablets, and computers, providing convenience and flexibility for users to engage in cognitive exercises and assessments.

Advancements in Technology

AI and ML algorithms have empowered the development of highly personalized brain training programs. These programs adapt in real-time to an individual's performance, making the training more effective and engaging. Advanced analytics enable the early detection of cognitive impairments by analyzing vast datasets, including cognitive assessments and biometric data. This early detection allows for timely intervention and treatment.

High-resolution brain imaging techniques, such as functional magnetic resonance imaging (fMRI) and electroencephalography (EEG), provide detailed insights into brain activity. These technologies help researchers and clinicians understand cognitive processes and disorders. Neuroinformatics leverages big data analysis to process and interpret complex brain data. This has opened up new avenues for understanding brain function and dysfunction.

VR and AR are used in cognitive rehabilitation and therapy. They create immersive environments for patients, making therapy more engaging and effective, particularly in cases of traumatic brain injuries or stroke recovery. VR and AR can be employed for cognitive assessments, providing a more realistic and ecologically valid testing environment.

The widespread adoption of smartphones and wearable devices has made digital brain health solutions easily accessible to a broad demographic. Users can engage in brain training exercises and monitor their cognitive health conveniently. Wearables equipped with biosensors can continuously monitor physiological parameters, offering insights into stress levels, sleep quality, and other factors affecting cognitive health.

Increasing Mental Health Awareness

The world is grappling with a rising prevalence of mental health disorders, including depression, anxiety, and stress-related conditions. These conditions have a profound impact on individuals' daily lives and overall well-being.

Efforts to reduce the stigma surrounding mental health have gained traction, making it more socially acceptable to seek help and support for mental health issues. This cultural shift encourages individuals to proactively address their mental well-being. Public health campaigns and advocacy initiatives have increased awareness about mental health and the importance of seeking treatment and support. These efforts have reached diverse demographics, from youth to seniors.

Extensive media coverage and celebrities openly discussing their mental health challenges have contributed to raising awareness. Such disclosures humanize mental health issues and make them relatable to a broad audience. Celebrities advocating for mental health have become influential voices, inspiring individuals to take their mental well-being seriously. Many employers are implementing workplace mental health programs to support their employees' mental well-being. This includes stress reduction initiatives, mental health days, and access to mental health resources.

Remote Healthcare and Telemedicine

Telemedicine platforms have made it easier for individuals, regardless of their geographic location, to access specialists and healthcare providers with expertise in cognitive health and brain-related issues. Telemedicine bridges the gap between individuals living in remote or underserved areas and healthcare professionals. This accessibility factor is crucial for those seeking brain health assessments and interventions. Telemedicine eliminates the need for travel and associated costs, making healthcare services more affordable and accessible for patients.

The COVID-19 pandemic accelerated the adoption of telemedicine and remote healthcare. Social distancing measures and lockdowns necessitated virtual healthcare solutions, including those for cognitive health.

Telemedicine platforms have integrated cognitive assessments and mental health evaluations into their services. This enables healthcare providers to remotely screen for cognitive issues and recommend appropriate interventions. Digital brain health solutions, including cognitive therapy and brain training apps, can be seamlessly integrated into telemedicine platforms. Patients can receive cognitive therapy from the comfort of their homes.

Telemedicine facilitates real-time sharing of patient data between healthcare professionals and specialists, enabling collaborative diagnosis and treatment planning for cognitive health concerns. Telemedicine allows for the assembly of multi-disciplinary teams of experts to address complex cognitive issues, enhancing the quality of care.

Key Market Challenges

Regulatory and Compliance Hurdles

The digital brain health market operates in a complex regulatory landscape, with varying rules and requirements in different regions. Ensuring compliance with these regulations, such as the FDA in the United States or the European Medicines Agency (EMA) in Europe, can be a significant challenge. Regulatory agencies closely scrutinize the safety and efficacy of digital brain health solutions. Companies must conduct extensive clinical trials and provide robust evidence of their products' benefits and safety profiles. Meeting these stringent requirements can be time-consuming and costly.

Data Privacy and Security Concerns

Sensitive Health Data Handling: Digital brain health solutions often involve the collection and analysis of sensitive health data, including cognitive assessments and personal information. Ensuring the privacy and security of this data is paramount, as breaches can have serious legal and reputational consequences. Companies operating in multiple regions must navigate a web of data protection laws, such as the General Data Protection Regulation (GDPR) in Europe. Adhering to these laws requires significant resources and expertise.

Limited Adoption Among Older Populations

Digital Divide: The elderly population, which is a key demographic for brain health solutions, may face barriers to adoption due to limited digital literacy and access to technology. Many older adults are not as comfortable with digital devices and may struggle to use digital brain health tools effectively. Older individuals may also be more skeptical about the effectiveness and safety of digital brain health solutions. Building trust and convincing this demographic to embrace these technologies can be a slow and challenging process.

Key Market Trends

Personalized Cognitive Health Solutions:

Advances in artificial intelligence (AI) and machine learning (ML) have enabled the development of highly personalized digital brain health solutions. These solutions are tailored to individual users based on their cognitive profiles, preferences, and goals.

Personalization enhances the effectiveness of cognitive training and brain health interventions. AI algorithms analyze user performance and adapt training programs in real-time, ensuring that exercises remain challenging and engaging. Personalized solutions also cater to specific cognitive strengths and weaknesses, addressing individual needs more effectively.

Integration with Wearable and Mobile Technology:

The widespread adoption of smartphones, smartwatches, and wearable fitness devices has paved the way for the integration of digital brain health solutions with these technologies.

Wearables and mobile devices offer convenience, accessibility, and real-time data collection. Brain health apps and platforms can be seamlessly integrated with these devices, allowing users to engage in cognitive exercises, track their cognitive performance, and monitor other health metrics all in one place. This integration encourages consistent engagement and data-driven insights into cognitive health.

Focus on Mental Well-being and Resilience:

There is a growing emphasis on holistic health and well-being, encompassing mental and emotional health in addition to physical health.

Digital brain health solutions are expanding beyond cognitive training to include stress management, mindfulness, meditation, and emotional well-being modules. As individuals recognize the interconnectedness of mental and physical health, they seek comprehensive solutions that address both aspects. This trend is driven by the desire for improved stress resilience, reduced anxiety, and enhanced overall mental well-being.

Segmental Insights

Components Insights

Based on the category of Component, the software segment emerged as the dominant player in the global market for Digital Brain Health in 2022. Digital brain health software offers a broad spectrum of applications, ranging from cognitive training and assessment to mental health support and brain fitness games. This versatility allows software solutions to cater to diverse user needs and preferences. Software can be easily scaled to accommodate a growing user base without significant hardware investments. This scalability makes it cost-effective for businesses and healthcare providers to expand their digital brain health offerings.

Software solutions leverage artificial intelligence (AI) and machine learning (ML) algorithms to create personalized cognitive training programs. These programs adapt in real-time based on user performance, ensuring that exercises remain challenging and effective. Software can adjust the difficulty level and content of cognitive exercises to match an individual's cognitive profile, making them more engaging and productive. This adaptability enhances user satisfaction and outcomes.

Software can be accessed remotely through smartphones, tablets, and computers, allowing users to engage in cognitive training and assessments from the comfort of their homes or on-the-go. The integration of digital brain health software with telehealth platforms enhances accessibility to cognitive care. Healthcare providers can remotely monitor and support patients' cognitive health using software solutions. These factors are expected to drive the growth of this segment.

Functionalities Insight

Based on the category of Functionalities, the clinical functionality segment emerged as the dominant player in the global market for Digital Brain Health in 2022. Clinical functionality in digital brain health solutions is rooted in evidence-based assessment and treatment protocols. These functionalities are developed and validated through rigorous scientific research and clinical trials, instilling confidence in their effectiveness. Healthcare professionals, including neurologists, psychologists, and psychiatrists, are more likely to embrace digital brain health solutions with clinical functionality due to their reliability and alignment with established clinical standards.

Clinical functionalities aid in the early diagnosis and management of neurological and psychiatric disorders, including Alzheimer's disease, dementia, ADHD, and depression. These functionalities include diagnostic assessments and screening tools. Digital brain health solutions with clinical functionality offer treatment planning features that help healthcare providers develop personalized intervention strategies based on patient assessments.

Clinical functionalities can be seamlessly integrated into telehealth platforms, enabling healthcare providers to remotely assess and treat patients with cognitive health concerns. Telehealth adoption has surged, especially during the COVID-19 pandemic, further bolstering the prominence of clinical functionalities. Many clinical digital brain health solutions are designed to interface with electronic health records, facilitating the seamless incorporation of cognitive health data into patients' overall medical records. These factors are expected to drive the growth of this segment.

Distribution Channel Insights

The hospital & Clinics segment is projected to experience rapid growth during the forecast period. Hospitals and clinics have specialized healthcare professionals, including neurologists, neuropsychologists, and psychiatrists, with the expertise to diagnose and treat cognitive and mental health disorders effectively. These healthcare settings often have access to advanced diagnostic equipment, such as MRI and EEG machines, which can complement digital brain health solutions for comprehensive assessments. Hospitals and clinics serve a broad and diverse patient population, including individuals of varying ages and health conditions. This diversity makes them a primary destination for cognitive assessments and interventions, catering to a wide range of cognitive health needs.

Hospitals and clinics are pivotal in the diagnosis of cognitive disorders. They provide the necessary infrastructure for conducting comprehensive cognitive assessments, including neuroimaging and cognitive testing. These healthcare settings offer a range of treatment options, including pharmacological and non-pharmacological interventions, making them a central hub for managing cognitive health issues. These factors collectively contribute to the growth of this segment.

Regional Insights

North America emerged as the dominant player in the global Digital Brain Health market in 2022, holding the largest market share in terms of value. The United States is known as a global hub for technological innovation. The region has a robust ecosystem of tech companies, research institutions, and startups focused on digital health and brain health solutions. North American companies have been at the forefront of developing advanced AI and machine learning algorithms for personalized brain training and cognitive assessment, giving them a competitive advantage. North America boasts advanced healthcare infrastructure, including hospitals, clinics, and research centers, which are well-equipped to integrate digital brain health solutions into their services. The region has a significant number of neurologists, psychiatrists, and neuropsychologists who can diagnose and treat cognitive health issues, facilitating the adoption of digital brain health solutions.

There is a growing awareness of mental health issues in North America, leading to increased interest in digital brain health solutions that support mental well-being, stress management, and cognitive fitness. The U.S. Food and Drug Administration (FDA) has established regulatory guidelines for digital health technologies, including digital brain health solutions. The FDA's regulatory framework provides clarity and credibility for companies seeking approval, which can drive market growth. North America receives substantial investments in research and development, both from government agencies and private investors. This funding supports the development of cutting-edge digital brain health technologies.

The Asia-Pacific market is poised to be the fastest-growing market, offering lucrative growth opportunities for Digital Brain Health players during the forecast period. Factors such as countries in the Asia-Pacific region, including China, India, and Japan, have been increasing their investments in healthcare infrastructure and digital health technologies. These investments are expected to drive the adoption of digital brain health solutions. Several APAC countries, such as Japan and South Korea, have rapidly aging populations. The prevalence of age-related cognitive health concerns in this region creates a substantial market for digital brain health solutions.There has been a growing awareness of mental health issues in APAC countries, leading to increased interest in digital brain health solutions for stress management, mental well-being, and cognitive fitness.

Telemedicine and telehealth adoption have been on the rise in APAC, driven by factors like the COVID-19 pandemic and the need for remote healthcare access. This trend can facilitate the integration of digital brain health solutions into telehealth platforms. APAC has a large tech-savvy population, particularly in countries like China and South Korea. This population's familiarity with digital technologies can drive the adoption of digital brain health apps and services.

Report Scope:

In this report, the Global Digital Brain Health Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Digital Brain Health Market, By Components:

  • Software
  • Device

Digital Brain Health Market, By Functionalities:

  • Clinical Functionality
  • Administrative Functionality
  • Care Plans/Health Management
  • Clinical Decision Support (CDS)
  • Electronic Health Records (EHR)
  • E-Prescribing, Financial Functionality
  • Telehealth
  • Other

Digital Brain Health Market, By End-User:

  • Hospitals & Clinics
  • Other

Digital Brain Health Market, By Region:

  • North America
  • United States
  • Canada
  • Mexico
  • Europe
  • France
  • United Kingdom
  • Italy
  • Germany
  • Spain
  • Asia-Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • South America
  • Brazil
  • Argentina
  • Colombia
  • Middle East & Africa
  • South Africa
  • Saudi Arabia
  • UAE
  • Kuwait
  • Turkey
  • Egypt

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Digital Brain Health Market.

Available Customizations:

Global Digital Brain Health market report with the given market data, the publisher offers customizations according to a company's specific needs.


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Table of Contents

1. Product Overview
1.1. Market Definition
1.2. Scope of the Market
1.2.1. Markets Covered
1.2.2. Years Considered for Study
1.2.3. Key Market Segmentations
2. Research Methodology
2.1. Objective of the Study
2.2. Baseline Methodology
2.3. Key Industry Partners
2.4. Major Association and Secondary End-Users
2.5. Forecasting Methodology
2.6. Data Triangulation & Validation
2.7. Assumptions and Limitations
3. Executive Summary
3.1. Overview of the Market
3.2. Overview of Key Market Segmentations
3.3. Overview of Key Market Players
3.4. Overview of Key Regions/Countries
3.5. Overview of Market Drivers, Challenges, Trends
4. Voice of Customer
5. Global Digital Brain Health Market Outlook
5.1. Market Size & Forecast
5.1.1. By Value
5.2. Market Share & Forecast
5.2.1. By Components (Software, Devices)
5.2.2. By Functionalities (Clinical Functionality, Administrative Functionality, Care Plans/Health Management, Clinical Decision Support (CDS), Electronic Health Records (EHR), E-Prescribing, Financial Functionality, Telehealth, Other)
5.2.3. By End-User (Hospitals & Clinics, Other)
5.2.4. By Region
5.2.5. By Company (2022)
5.3. Market Map
6. North America Digital Brain Health Market Outlook
6.1. Market Size & Forecast
6.1.1. By Value
6.2. Market Share & Forecast
6.2.1. By Components
6.2.2. By Functionalities
6.2.3. By End-User
6.2.4. By Country
6.3. North America: Country Analysis
6.3.1. United States Digital Brain Health Market Outlook
6.3.1.1. Market Size & Forecast
6.3.1.1.1. By Value
6.3.1.2. Market Share & Forecast
6.3.1.2.1. By Components
6.3.1.2.2. By Functionalities
6.3.1.2.3. By End-User
6.3.2. Canada Digital Brain Health Market Outlook
6.3.2.1. Market Size & Forecast
6.3.2.1.1. By Value
6.3.2.2. Market Share & Forecast
6.3.2.2.1. By Components
6.3.2.2.2. By Functionalities
6.3.2.2.3. By End-User
6.3.3. Mexico Digital Brain Health Market Outlook
6.3.3.1. Market Size & Forecast
6.3.3.1.1. By Value
6.3.3.2. Market Share & Forecast
6.3.3.2.1. By Components
6.3.3.2.2. By Functionalities
6.3.3.2.3. By End-User
7. Europe Digital Brain Health Market Outlook
7.1. Market Size & Forecast
7.1.1. By Value
7.2. Market Share & Forecast
7.2.1. By Components
7.2.2. By Functionalities
7.2.3. By End-User
7.3. Europe: Country Analysis
7.3.1. Germany Digital Brain Health Market Outlook
7.3.1.1. Market Size & Forecast
7.3.1.1.1. By Value
7.3.1.2. Market Share & Forecast
7.3.1.2.1. By Components
7.3.1.2.2. By Functionalities
7.3.1.2.3. By End-User
7.3.2. United Kingdom Digital Brain Health Market Outlook
7.3.2.1. Market Size & Forecast
7.3.2.1.1. By Value
7.3.2.2. Market Share & Forecast
7.3.2.2.1. By Components
7.3.2.2.2. By Functionalities
7.3.2.2.3. By End-User
7.3.3. Italy Digital Brain Health Market Outlook
7.3.3.1. Market Size & Forecast
7.3.3.1.1. By Value
7.3.3.2. Market Share & Forecasty
7.3.3.2.1. By Components
7.3.3.2.2. By Functionalities
7.3.3.2.3. By End-User
7.3.4. France Digital Brain Health Market Outlook
7.3.4.1. Market Size & Forecast
7.3.4.1.1. By Value
7.3.4.2. Market Share & Forecast
7.3.4.2.1. By Components
7.3.4.2.2. By Functionalities
7.3.4.2.3. By End-User
7.3.5. Spain Digital Brain Health Market Outlook
7.3.5.1. Market Size & Forecast
7.3.5.1.1. By Value
7.3.5.2. Market Share & Forecast
7.3.5.2.1. By Components
7.3.5.2.2. By Functionalities
7.3.5.2.3. By End-User
8. Asia-Pacific Digital Brain Health Market Outlook
8.1. Market Size & Forecast
8.1.1. By Value
8.2. Market Share & Forecast
8.2.1. By Components
8.2.2. By Functionalities
8.2.3. By End-User
8.3. Asia-Pacific: Country Analysis
8.3.1. China Digital Brain Health Market Outlook
8.3.1.1. Market Size & Forecast
8.3.1.1.1. By Value
8.3.1.2. Market Share & Forecast
8.3.1.2.1. By Components
8.3.1.2.2. By Functionalities
8.3.1.2.3. By End-User
8.3.2. India Digital Brain Health Market Outlook
8.3.2.1. Market Size & Forecast
8.3.2.1.1. By Value
8.3.2.2. Market Share & Forecast
8.3.2.2.1. By Components
8.3.2.2.2. By Functionalities
8.3.2.2.3. By End-User
8.3.3. Japan Digital Brain Health Market Outlook
8.3.3.1. Market Size & Forecast
8.3.3.1.1. By Value
8.3.3.2. Market Share & Forecast
8.3.3.2.1. By Components
8.3.3.2.2. By Functionalities
8.3.3.2.3. By End-User
8.3.4. South Korea Digital Brain Health Market Outlook
8.3.4.1. Market Size & Forecast
8.3.4.1.1. By Value
8.3.4.2. Market Share & Forecast
8.3.4.2.1. By Components
8.3.4.2.2. By Functionalities
8.3.4.2.3. By End-User
8.3.5. Australia Digital Brain Health Market Outlook
8.3.5.1. Market Size & Forecast
8.3.5.1.1. By Value
8.3.5.2. Market Share & Forecast
8.3.5.2.1. By Components
8.3.5.2.2. By Functionalities
8.3.5.2.3. By End-User
9. South America Digital Brain Health Market Outlook
9.1. Market Size & Forecast
9.1.1. By Value
9.2. Market Share & Forecast
9.2.1. By Components
9.2.2. By Functionalities
9.2.3. By End-User
9.3. South America: Country Analysis
9.3.1. Brazil Digital Brain Health Market Outlook
9.3.1.1. Market Size & Forecast
9.3.1.1.1. By Value
9.3.1.2. Market Share & Forecast
9.3.1.2.1. By Components
9.3.1.2.2. By Functionalities
9.3.1.2.3. By End-User
9.3.2. Argentina Digital Brain Health Market Outlook
9.3.2.1. Market Size & Forecast
9.3.2.1.1. By Value
9.3.2.2. Market Share & Forecast
9.3.2.2.1. By Components
9.3.2.2.2. By Functionalities
9.3.2.2.3. By End-User
9.3.3. Colombia Digital Brain Health Market Outlook
9.3.3.1. Market Size & Forecast
9.3.3.1.1. By Value
9.3.3.2. Market Share & Forecast
9.3.3.2.1. By Components
9.3.3.2.2. By Functionalities
9.3.3.2.3. By End-User
10. Middle East and Africa Digital Brain Health Market Outlook
10.1. Market Size & Forecast
10.1.1. By Value
10.2. Market Share & Forecast
10.2.1. By Components
10.2.2. By Functionalities
10.2.3. By End-User
10.3. MEA: Country Analysis
10.3.1. South Africa Digital Brain Health Market Outlook
10.3.1.1. Market Size & Forecast
10.3.1.1.1. By Value
10.3.1.2. Market Share & Forecast
10.3.1.2.1. By Components
10.3.1.2.2. By Functionalities
10.3.1.2.3. By End-User
10.3.2. Saudi Arabia Digital Brain Health Market Outlook
10.3.2.1. Market Size & Forecast
10.3.2.1.1. By Value
10.3.2.2. Market Share & Forecast
10.3.2.2.1. By Components
10.3.2.2.2. By Functionalities
10.3.2.2.3. By End-User
10.3.3. UAE Digital Brain Health Market Outlook
10.3.3.1. Market Size & Forecast
10.3.3.1.1. By Value
10.3.3.2. Market Share & Forecast
10.3.3.2.1. By Components
10.3.3.2.2. By Functionalities
10.3.3.2.3. By End-User
11. Market Dynamics
11.1. Drivers & Challenges
12. Market Trends & Developments
12.1. Recent Developments
12.2. Product Launches
12.3. Mergers & Acquisitions
13. Global Digital Brain Health Market: SWOT Analysis
14. Competitive Landscape
14.1. Advanced Oncotherapy PLC
14.2. Cerner Corporation
14.3. Core Solutions, Inc.
14.4. Danfysik A/S
14.5. Hitachi Ltd
14.6. Holmusk Inc
14.7. IBA Worldwide
14.8. Qualifacts Systems, Inc.
14.9. International Business Machines Corporation (IBM)
14.10. Linus Health Inc.
15. Strategic Recommendations16. About the Publisher & Disclaimer

Companies Mentioned

  • Advanced Oncotherapy PLC
  • Cerner Corporation
  • Core Solutions, Inc.
  • Danfysik A/S
  • Hitachi Ltd
  • Holmusk Inc
  • IBA Worldwide
  • Qualifacts Systems, Inc.
  • International Business Machines Corporation (IBM)
  • Linus Health Inc

Table Information