A survey of people from 31 different countries around the world found that mental health was the biggest health problem respondents said was facing their country in 2024. Other health problems reported by respondents included cancer, stress, and obesity. The COVID-19 pandemic The COVID-19 pandemic impacted almost every country in the world and was the biggest global health crisis in recent history. It resulted in hundreds of millions of cases and millions of deaths, causing unprecedented disruption in health care systems. Lockdowns imposed in many countries to halt the spread of the virus also resulted in a rise of mental health issues as feelings of stress, isolation, and hopelessness arose. However, vaccines to combat the virus were developed at record speed, and many countries have now vaccinated large shares of their population. Nevertheless, in 2024, ** percent of respondents still stated that COVID-19 was the biggest health problem facing their country. Mental health issues One side effect of the COVID-19 pandemic has been a focus on mental health around the world. The two most common mental health issues worldwide are anxiety disorders and depression. In 2021, it was estimated that around *** percent of the global population had an anxiety disorder, while **** percent suffered from depression. Rates of depression are higher among females than males, with some *** percent of females suffering from depression, compared to *** percent of men. However, rates of suicide in most countries are higher among men than women. One positive outcome of the COVID-19 pandemic and the spotlight it shined on mental health may be a decrease in stigma surrounding mental health issues and seeking help for such issues. This would be a positive development as many people around the world do not or cannot receive the necessary treatment they need for their mental health.

In 2024, around 69 percent of adults in Chile stated that mental health was the biggest health problem facing people in their country, while in Mexico only around 25 percent of adults stated the same. This statistic illustrates the percentage of adults worldwide who stated that mental health problems were the biggest health problems facing people in their country in 2024.

According to the data from 2025, some 16 percent of respondents said that rising health care costs were the most important health issue facing the United States. Cancer ranked second on the list with 15 percent. Issues with healthcare costsCurrently, the most urgent problem facing American healthcare is the high costs of care. The high expense of healthcare may deter people from getting the appropriate treatment when they need medical care or cause them to completely forego preventative care visits. Many Americans reported that they may skip prescription doses or refrain from taking medication as prescribed due to financial concerns. Such health-related behavior can result in major health problems, which may raise the long-term cost of care. Inflation, medical debt, and unforeseen medical expenses have all added to the burden that health costs are placing on household income. Gun violence issueThe gun violence epidemic has plagued the United States over the past few years, yet very little has been done to address the issue. In recent years, gun violence has become the leading cause of death among American children and teens. Even though more than half of Americans are in favor of tougher gun control regulations, there is little political will to strongly reform the current gun law. Gun violence has a deep traumatic impact on survivors and society, it is developing into a major public health crisis in the United States.

This data package contains dataset on prevalence rates of health conditions and diseases like obesity, diabetes and hearing loss and health risk factors for diseases like tobacco, alcohol and drug use.

A survey of men from 31 different countries around the world found that mental health was the biggest health problem respondents from all generations except boomers said was facing their country in 2024. Approximately 44 percent of male boomers surveyed felt cancer was the biggest health problem facing their country, as opposed to only 28 percent of male Gen Z respondents.

BackgroundThe field of “Big Health,” which encompasses the integration of big data in healthcare, has seen rapid development in recent years. As big data technologies continue to transform healthcare, understanding emerging trends and key advancements within the field is essential.MethodsWe retrieved and filtered articles and reviews related to big data analytics in health research from the Web of Science Core Collection, including SCI Expanded and SSCI, covering the period from 2009 to 2024. Bibliometric and co-citation analyses were conducted using VOSviewer and CiteSpace.ResultsA total of 13,609 papers were analyzed, including 10,702 original research and 2,907 reviews. Co-occurrence word analysis identified six key research areas: (1) the application of big data analytics in health decision-making; (2) challenges in the technological management of health and medical big data; (3) integration of machine learning with health monitoring; (4) privacy and ethical issues in health and medical big data; (5) data integration in precision medicine; and (6) the use of big data in disease management and risk assessment. The co-word burst analysis results indicate that topics such as personalized medicine, decision support, and data protection experienced significant growth between 2015 and 2020. With the advancement of big data technologies, research hotspots have gradually expanded from basic data analysis to more complex application areas, such as the digital transformation of healthcare, digital health strategies, and smart health cities.ConclusionThis study highlights the growing impact of big data analytics in healthcare, emphasizing its role in decision-making, disease management, and precision medicine. As digital transformation in healthcare advances, addressing challenges in data integration, privacy, and machine learning integration will be crucial for maximizing the potential of big data technologies in improving health outcomes.

Big Data Analytics in Healthcare Market Outlook

The global market size for Big Data Analytics in Healthcare was valued at approximately USD 34 billion in 2023 and is anticipated to grow at a robust CAGR of 11.9%, reaching an estimated USD 90 billion by 2032. This remarkable growth is driven by the increasing adoption of data-driven decision-making processes within the healthcare sector, spurred by the mounting pressure to enhance operational efficiencies, improve patient outcomes, and reduce overall healthcare costs. The integration of big data analytics within healthcare systems is enabling organizations to leverage vast amounts of data, leading to enhanced patient care and streamlined operations.

A significant growth factor fueling the expansion of the big data analytics market in healthcare is the ever-increasing volume of data generated by healthcare systems. With the surge of electronic health records, wearable health devices, and various other digital health technologies, the volume of data being generated is unprecedented. This data, if analyzed correctly, holds the potential to transform healthcare delivery models, allowing for more precise diagnostics, personalized treatment plans, and proactive disease management strategies. Consequently, healthcare organizations are increasingly investing in big data analytics tools to harness this data for clinical and operational improvements.

Another key driver of market growth is the growing emphasis on value-based care and the need for healthcare providers to demonstrate high-quality patient outcomes. Value-based care models require providers to focus on the quality rather than the quantity of care delivered, inherently demanding the use of advanced analytics to derive actionable insights from patient data. Big data analytics facilitates the identification of patterns and trends that can lead to improved treatment effectiveness and patient satisfaction. This shift in care models is prompting healthcare organizations to integrate sophisticated analytics solutions that help in predictive modeling, trend analysis, and real-time decision-making, further propelling market expansion.

Additionally, the increasing incidence of chronic diseases worldwide is driving the need for more efficient healthcare services. Big data analytics in healthcare can play a critical role in managing chronic diseases by enabling preventive care and personalized treatment plans. By analyzing patient data, including historical health records, genetic information, and lifestyle choices, healthcare providers can predict potential health issues and intervene early, thereby improving patient outcomes and reducing healthcare costs. This capability is essential in managing the global burden of chronic diseases, thereby boosting the adoption of big data analytics solutions in the healthcare sector.

Regionally, North America dominates the market due to the presence of advanced healthcare infrastructure, the availability of technologically advanced products, and the high adoption rate of healthcare IT solutions. The region's robust regulatory environment and substantial investments in healthcare IT make it a fertile ground for the growth of big data analytics solutions. However, the Asia Pacific region is expected to exhibit the highest growth rate during the forecast period, driven by increasing government initiatives supporting the digitization of healthcare, burgeoning healthcare infrastructure, and a growing focus on precision medicine. The integration of big data analytics in healthcare across diverse regions is indicative of its global importance in optimizing healthcare delivery and patient care.

Component Analysis

In the realm of big data analytics in healthcare, the component segment is vitally instrumental to the market's evolution and includes software and services. Software solutions are the backbone of big data analytics, providing healthcare organizations with the necessary tools to collect, process, and analyze vast datasets. These solutions encompass data management and analytical platforms, which are indispensable for extracting actionable insights from disparate data sources. The software component is continually evolving with advancements in artificial intelligence and machine learning, which enhance data analytics capabilities. Moreover, the increasing demand for user-friendly, customizable software solutions is driving innovation and growth within this segment.

The services component, on the other hand, plays a critical role in the implementation and maintenance of big data analytics solutions. This component includes cons

Healthcare Big Data Analytics Market Outlook

The global healthcare big data analytics market size is projected to achieve a robust growth trajectory, with a valuation of approximately USD 32 billion in 2023. It is anticipated to soar to around USD 115 billion by 2032, reflecting an impressive compound annual growth rate (CAGR) of 15.4%. This remarkable growth can largely be attributed to the increasing demand for efficient data management systems in the healthcare sector, the rising need for data-driven decision-making, and the expanding adoption of analytics in diverse healthcare applications. The integration of artificial intelligence and machine learning in analytics, the emphasis on personalized medicine, and the growing importance of predictive analytics are further propelling the market forward.

One of the key growth drivers in the healthcare big data analytics market is the rising necessity for cost reduction and improved operational efficiency within the healthcare sector. Hospitals and clinics are increasingly recognizing the value of analytics in streamlining processes, reducing waste, and enhancing patient care. By leveraging big data analytics, healthcare providers can gain insights into patient care patterns, optimize resource allocation, and minimize unnecessary expenditures. This drive towards efficiency is further bolstered by government initiatives and policies aimed at improving healthcare delivery and reducing costs, creating a fertile ground for the adoption of advanced analytics solutions.

Another significant factor contributing to the market's expansion is the growing emphasis on personalized and precision medicine. As healthcare providers aim to offer more tailored treatment options, the analysis of vast datasets becomes crucial. Big data analytics facilitates the identification of patterns and trends in patient data, enabling healthcare providers to make informed decisions regarding personalized treatment plans. Moreover, the continuous advancements in genomics and biotechnology are generating immense volumes of data, necessitating robust analytics solutions to derive actionable insights. This trend towards personalized care is expected to drive substantial investments in big data analytics technologies in the coming years.

Additionally, the increasing prevalence of chronic diseases and the aging global population are driving the demand for effective population health management. Big data analytics plays a pivotal role in analyzing population health trends, identifying at-risk individuals, and devising preventive strategies. Governments and healthcare organizations are increasingly focusing on population health analytics to enhance public health outcomes and reduce the burden on healthcare infrastructure. This growing demand for comprehensive population health management solutions is expected to be a significant driving force for the healthcare big data analytics market over the forecast period.

Healthcare Analytics & Medical Analytics are becoming increasingly vital in the pursuit of personalized and precision medicine. By leveraging these analytics, healthcare providers can delve deeper into patient data to uncover insights that inform individualized treatment plans. This approach not only enhances patient outcomes but also optimizes the use of healthcare resources. As the demand for personalized care continues to rise, the role of healthcare analytics in tailoring treatments to individual patient needs is expected to grow exponentially. The integration of advanced analytics tools into healthcare systems is facilitating a shift towards more patient-centric care models, thereby driving the adoption of these technologies across the sector.

The regional outlook for the healthcare big data analytics market shows a diverse growth pattern across different geographies. North America currently holds a significant share of the market, driven by the presence of advanced healthcare infrastructure, a high level of digitalization, and a strong focus on research and development. Europe is also witnessing considerable growth, with countries like Germany and the United Kingdom leading the charge in the adoption of analytics solutions. Meanwhile, the Asia Pacific region is poised to experience the fastest growth, fueled by rapid technological advancements, increasing healthcare investments, and the need to address healthcare challenges in densely populated regions. Latin America and the Middle East & Africa are expected to show steady growth, driven by improving healthcare infrastruct

According to a survey, mental health was ranked as the biggest health care concern facing people in Colombia among selected issues, with around ** percent of respondents considering it the main sanitary problem as of August 2024. Moreover, stress and drug abuse ranked second and third among the leading health concerns that year, as indicated by ** and ** percent of interviewees, respectively. As of 2023, Colombia was among the countries with the highest share of people considering mental health one of the biggest health problems in their country within a selection of ** nations.

Connected Health M2M Market Outlook

The Connected Health M2M market size is projected to grow exponentially from USD 55 billion in 2023 to USD 180 billion by 2032, registering a CAGR of 14% during the forecast period. This growth is primarily driven by the increasing need for remote healthcare solutions and advancements in machine-to-machine (M2M) communication technologies. As healthcare providers and patients increasingly adopt connected health solutions to enhance the quality of care, the market is set to witness unprecedented growth.

The rising prevalence of chronic diseases and the aging population are significant growth factors for the Connected Health M2M market. Chronic conditions such as diabetes, cardiovascular diseases, and respiratory disorders necessitate continuous health monitoring, which connected health solutions effectively provide. The aging population also faces numerous health challenges that require ongoing attention, driving the demand for remote patient monitoring and clinical monitoring systems. By leveraging M2M technology, healthcare providers can offer continuous care, improving patient outcomes and reducing hospital readmissions.

Technological advancements in IoT, AI, and big data analytics further fuel the growth of the Connected Health M2M market. Integrating IoT devices with machine learning algorithms allows for real-time data analysis, enabling proactive healthcare management. AI-powered predictive analytics can identify potential health issues before they become critical, allowing timely intervention. Additionally, big data analytics helps in processing vast amounts of health data, providing valuable insights into patient health trends and treatment efficacy, further enhancing the effectiveness of connected health solutions.

Government initiatives and favorable regulatory frameworks also play a crucial role in the market's growth. Numerous governments worldwide are recognizing the potential of connected health solutions to improve healthcare delivery and reduce costs. As a result, they are investing in digital health infrastructure and implementing policies that promote the adoption of connected health technologies. These initiatives not only support the development of innovative solutions but also ensure their widespread deployment, thereby driving market growth.

The regional outlook for the Connected Health M2M market reveals significant growth prospects across various regions. North America dominates the market due to its advanced healthcare infrastructure, high adoption rate of new technologies, and strong focus on patient-centric care. Europe follows closely, driven by increasing government support and the presence of leading healthcare companies. The Asia Pacific region is expected to witness the highest growth rate during the forecast period, propelled by expanding healthcare infrastructure, increasing investments in digital health, and a growing aging population.

Component Analysis

The component segment of the Connected Health M2M market is divided into Devices, Connectivity Services, Platforms, and Applications. Each sub-segment plays a vital role in the functioning and effectiveness of connected health solutions. The devices sub-segment includes a variety of medical devices and wearables that collect and transmit health data. These devices range from simple fitness trackers to complex medical monitoring equipment. The increasing development of advanced, user-friendly, and affordable devices is significantly contributing to the market's growth. Innovations like smartwatches with health monitoring features and portable ECG machines are making it easier for individuals to monitor their health continuously.

Connectivity Services are another crucial component, as they enable the seamless transmission of data between devices and healthcare providers. These services include mobile networks, Wi-Fi, Bluetooth, and other communication protocols. The reliability and efficiency of connectivity services are paramount for the real-time monitoring and analysis of health data. With advancements in 5G technology, the reliability and speed of data transmission have improved significantly, allowing for more efficient remote monitoring and telemedicine applications. Enhanced connectivity services ensure that healthcare providers receive timely and accurate data, which is essential for making informed clinical decisions.

Platforms in the Connected Health M2M market refer to the integrated systems that process, store, and analyze health data collected from various devices. These platforms o

Introduction

Global Big Data in Healthcare Market size is expected to be worth around USD 145.8 Billion by 2033 from USD 42.2 Billion in 2023, growing at a CAGR of 13.2% during the forecast period from 2024 to 2033.

Big data in healthcare encompasses vast amounts of diverse, unstructured data sourced from medical journals, biometric sensors, electronic medical records (EMRs), Internet of Medical Things (IoMT), social media platforms, payer records, omics research, and data repositories. Integrating this unstructured data into traditional systems presents considerable challenges, primarily in data structuring and standardization. Effective data structuring is essential for ensuring compatibility across systems and enabling robust analytical processes.

However, advancements in big data analytics, artificial intelligence, and machine learning have significantly enhanced the ability to convert complex healthcare data into actionable insights. These advancements have transformed healthcare, driving informed decision-making, enabling early and accurate diagnostics, facilitating precision medicine, and enhancing patient engagement through digital self-service platforms, including online portals, mobile applications, and wearable health devices.

The role of big data in pharmaceutical R&D has become increasingly central, as analytics tools streamline drug discovery, accelerate clinical trial processes, and identify potential therapeutic targets more efficiently. The demand for business intelligence solutions within healthcare is rising, fueled by the surge of unstructured data and the focus on developing tailored treatment protocols. As a result, the global market for big data in healthcare is projected to grow steadily during the forecast period.

Mental Health Platform Market Outlook

The global market size for mental health platforms was valued at USD 4.1 billion in 2023, and it is projected to reach USD 11.2 billion by 2032, growing at a compound annual growth rate (CAGR) of 12.1% during the forecast period. This remarkable growth can be attributed to several factors, including the rising prevalence of mental health disorders, increased awareness about mental well-being, and technological advancements in digital health solutions.

One of the primary growth factors driving the mental health platform market is the increasing prevalence of mental health disorders globally. Conditions such as depression, anxiety, and stress are becoming more common due to the fast-paced and high-stress nature of modern life. The World Health Organization reports that nearly one billion people worldwide suffer from some form of mental disorder, which places a substantial burden on healthcare systems. This escalating prevalence necessitates efficient and accessible mental health solutions, thereby fueling the demand for digital platforms that offer mental health support.

Another significant growth factor is the increasing awareness and destigmatization of mental health issues. Over the past decade, there has been a concerted effort spearheaded by governments, non-profits, and social media influencers to raise awareness about mental health. Campaigns and initiatives aimed at reducing stigma associated with mental health conditions have made it easier for individuals to seek help and support. This cultural shift is encouraging more people to use mental health platforms, thereby driving market growth.

The rapid advancement in digital health technologies also plays a crucial role in the market's growth. The integration of artificial intelligence, machine learning, and big data analytics in mental health platforms has enabled more personalized and efficient care. These technologies can analyze vast amounts of data to provide tailored therapy sessions, predict mental health crises, and offer real-time support. The convenience and accessibility of these tech-driven platforms are making mental health services more reachable to a broader audience, thus contributing to market expansion.

The role of Mental Health Care Software and Services is becoming increasingly pivotal in addressing the growing demand for mental health solutions. These software and services provide a comprehensive approach to mental health care, offering tools for self-assessment, therapy, and ongoing support. By leveraging technology, these platforms can deliver personalized care plans and facilitate communication between patients and healthcare providers. This integration of software and services not only enhances the accessibility of mental health care but also ensures that individuals receive timely and effective support. As the mental health platform market continues to evolve, the emphasis on robust software and service offerings will be crucial in meeting the diverse needs of users.

Regionally, North America holds a significant share of the mental health platform market due to the high prevalence of mental health disorders, advanced healthcare infrastructure, and a favorable regulatory environment. Europe follows closely, benefiting from well-established healthcare systems and growing awareness about mental well-being. The Asia Pacific region is expected to witness the highest growth rate, driven by increasing internet penetration, rising disposable incomes, and growing awareness about mental health. Other regions like Latin America and the Middle East & Africa are also showing promising growth, albeit at a slower pace compared to other regions.

Component Analysis

The mental health platform market can be segmented by component into software and services. Software components include mobile applications, web-based platforms, and integrated software systems designed to offer various mental health services. These software solutions range from self-help and meditation apps to comprehensive therapy platforms that connect users with licensed mental health professionals. The ease of access, user-friendly interfaces, and the ability to provide immediate support are some of the reasons why software solutions are gaining popularity in the mental health domain.

On the other hand, the services component encompasses a wide array of offerings such as consultation services, therapy se

Digital Health And Wellness Market Outlook

The global digital health and wellness market size was valued at approximately USD 150 billion in 2023 and is projected to reach nearly USD 600 billion by 2032, growing at a compound annual growth rate (CAGR) of 16.5% during the forecast period. This substantial growth is primarily driven by the increasing adoption of digital health technologies, the rising prevalence of chronic diseases, and the continuous advancements in healthcare IT infrastructure.

One of the major growth factors contributing to the expansion of the digital health and wellness market is the rising prevalence of chronic diseases such as diabetes, cardiovascular diseases, and respiratory disorders. With an aging global population and changing lifestyles, the burden of chronic diseases is escalating, necessitating efficient and innovative healthcare solutions. Digital health technologies, such as telehealth and remote monitoring, offer significant advantages in managing these conditions by facilitating timely interventions and continuous monitoring, thereby improving patient outcomes and reducing healthcare costs.

Another significant factor driving the market growth is the increasing penetration of smartphones and the internet, coupled with the growing awareness and acceptance of digital health solutions among consumers and healthcare providers. Mobile health (mHealth) applications are becoming essential tools for health management, providing users with easy access to health information, remote consultations, and personalized health tracking. The convenience and accessibility offered by these digital health tools are encouraging more individuals to adopt them, leading to a surge in demand and market expansion.

The continuous advancements in healthcare IT infrastructure and the integration of advanced technologies such as artificial intelligence (AI), big data analytics, and the Internet of Things (IoT) are further propelling the digital health and wellness market. These technologies enable more precise diagnostics, personalized treatment plans, and efficient healthcare delivery. For instance, AI-powered algorithms can analyze vast amounts of health data to identify patterns and predict potential health issues, while IoT devices facilitate seamless data exchange between patients and healthcare providers, enhancing the overall efficiency of healthcare services.

Regionally, North America is leading the digital health and wellness market, driven by the high adoption rate of advanced healthcare technologies, supportive government policies, and significant investments in healthcare IT infrastructure. The United States, in particular, is at the forefront, with numerous digital health startups and established firms actively innovating in this space. However, other regions such as Europe and Asia Pacific are also witnessing substantial growth, fueled by increasing healthcare expenditures, rising awareness about digital health solutions, and the expansion of telehealth services.

Connected Health Solutions are becoming increasingly pivotal in the digital health and wellness market, as they offer a seamless integration of various healthcare services through digital platforms. These solutions enable real-time communication and data sharing between patients and healthcare providers, enhancing the quality and efficiency of care. By leveraging technologies such as IoT and AI, Connected Health Solutions facilitate continuous monitoring and personalized healthcare, which is particularly beneficial for managing chronic conditions. The ability to connect different healthcare systems and devices ensures that patients receive comprehensive and coordinated care, reducing the risk of errors and improving overall health outcomes. As the demand for integrated healthcare solutions grows, Connected Health Solutions are set to play a crucial role in transforming the healthcare landscape.

Component Analysis

The digital health and wellness market is segmented by component into software, hardware, and services. Each component plays a crucial role in the functionality and efficiency of digital health solutions, and their interplay determines the overall effectiveness of digital health systems. Software, as a component, encompasses a wide array of applications, including electronic health records (EHRs), telehealth platforms, a

[Abstract] The author has been in a suboptimal state of health for an extensive period of time and had experienced difficulties in work and life. The goal was to identify a simple method for implementing self-treatment. The author used a method referred to as ‘inward vision’ to observe, perceive, feel, and record her own physical condition. A set of simple and convenient self-diagnostic methods to determine the location and characteristic of a disease was summarised through consideration of these ‘records of perceived observation’. A series of oral capsules constituting traditional Chinese remedies was developed based on these records and findings from the extant literature. The set of Chinese remedies is extraordinary and unusual, comprising dozens of species of traditional Chinese herbal remedies. There are a considerable number of different combinations of these herbs used for the treatment of numerous diseases and symptoms. It is safe and easy to consume. Over the years, the author has self-treated various symptoms and improved her health. If a large proportion of people are able to self-treat their illnesses, the world would be improved. It would be a step forward in the ability of humans to fight diseases. The diagnostic and therapeutic method described herein is simple, convenient, efficient, and cost-effective. This could be efficacious in solving socio-economic problems such as lack of access to effective medical treatment. It can be used to conduct research on several aspects, including food, plants, animals, and medical equipment. Furthermore, ‘inward vision’ as a method of thinking may be helpful to researchers in other disciplines.

The author Xiuli Yang is the founder of Yang’s six-position treatment method and the developer of the Zhenshanliyang series Chinese remedies.

This article is a supplement to another article.

The Chinese version of this article was published in the magazine titled, The China Health Care and Nutrition in January 2013 (pp. 457-458). This magazine is published between the 21st and 30th of each month. The four pictures here are only related to the Chinese version.

The Chinese version of this article, links are below.

Chronic non-communicable diseases (NCDs) pose a significant global health burden, exacerbated by aging populations and fragmented healthcare systems. This study employs a comprehensive literature review method to systematically evaluate the integration of medical and preventive services for chronic disease management in the context of big data, focusing on pre—hospital risk prediction, in—hospital clinical prevention, and post—hospital follow—up optimization. Through synthesizing existing research, we propose a novel framework that includes the development of machine learning models and interoperable health information platforms for real—time data sharing. The analysis reveals significant regional disparities in implementation efficacy, with developed eastern regions demonstrating advanced closed—loop management via unified platforms, while western rural areas struggle with manual workflows and data fragmentation. The integration of explainable AI (XAI) and blockchain—secured care pathways enhances clinical decision—making while ensuring GDPR—compliant data governance. The study advocates for phased implementation strategies prioritizing data standardization, federated learning architectures, and community—based health literacy programs to bridge existing disparities. Results show a 30–35% reduction in redundant diagnostics and a 15–20% risk mitigation for cardiometabolic disorders through precision interventions, providing a scalable roadmap for resilient public health systems aligned with the “Healthy China” initiative.

A survey conducted in Brazil found that mental health was ranked as the biggest health care concern facing people in the country among selected issues, with around ** percent of respondents considering it the main sanitary problem as of August 2024. Moreover, cancer and drug abuse ranked second and third among the leading health concerns that year, as indicated by ** and ** percent of interviewees, respectively. As of 2023, Brazil was among the countries with the highest share of people considering mental health as one of the biggest health problems in their country within a selection of 34 nations.

Snapshot img

The medical image analysis software market has the potential to grow by USD 1.53 billion during 2021-2025, and the market’s growth momentum will accelerate at a CAGR of 7.90%.

This medical image analysis software market research report provides valuable insights on the post COVID-19 impact on the market, which will help companies evaluate their business approaches. Furthermore, this report extensively covers market segmentation by type (standalone and integrated) and geography (North America, APAC, Europe, South America, and MEA). The medical image analysis software market report also offers information on several market vendors, including Agfa-Gevaert NV, AnalyzeDirect Inc., AQUILAB SAS, Carestream Health Inc., Esaote SpA, General Electric Co., International Business Machines Corp., Koninklijke Philips NV, Mirada Medical Ltd., and Siemens AG among others.

What will the Medical Image Analysis Software Market Size be in 2021?

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Medical Image Analysis Software Market: Key Drivers and Trends

Based on our research output, there has been a positive impact on the market growth during and post COVID-19 era. The advances in the medical imaging field is notably driving the medical image analysis software market growth, although factors such as growing concerns regarding data privacy and security may impede market growth. To unlock information on the key market drivers and the COVID-19 pandemic impact on the medical image analysis software industry get your FREE report sample now.

      The emergence of advanced technologies in medical imaging is a major factor driving the demand for medical imaging systems.
      With advanced research and technological evolution, medical imaging has seen numerous advances in technology.
      Open and portable MRIs, big data and analytics, and 3D technologies in diagnostic radiology are some of the latest advances that have increased the capabilities of medical imaging systems.
      Digital mammography has revolutionized breast cancer screening by providing greater detail and can generate results that are similar to conventional mammograms but without using film and X-rays.
      From the use of big data in medical imaging to the possibilities of 3D imaging, these advances are changing the future of medical imaging and leading to increased adoption of different medical imaging techniques.




      As the occurrence of chronic diseases increases in the population worldwide, there will be an increased use of medical imaging techniques and high demand for image analysis for improved diagnoses.
      The growing prevalence of chronic diseases and generally incurable conditions, such as cancer, cardiovascular conditions, diabetes, and asthma, is responsible for the increase in demand for medical imaging systems.
      Post-imaging analysis using advanced image analysis software helps in the early detection of chronic diseases and assesses the effectiveness of therapy on patients. 
      Medical imaging technology plays a major role in addressing chronic health concerns, as it helps in focusing on preventative health.
      Diagnostic imaging plays a crucial role in the early detection of chronic diseases and in monitoring disease progression. 

This medical image analysis software market analysis report also provides detailed information on other upcoming trends and challenges that will have a far-reaching effect on the market growth. Get detailed insights on the trends and challenges, which will help companies evaluate and develop growth strategies.

Who are the Major Medical Image Analysis Software Market Vendors?

The report analyzes the market’s competitive landscape and offers information on several market vendors, including:

Agfa-Gevaert NV
AnalyzeDirect Inc.
AQUILAB SAS
Carestream Health Inc.
Esaote SpA
General Electric Co.
International Business Machines Corp.
Koninklijke Philips NV
Mirada Medical Ltd.
Siemens AG

The medical image analysis software market is fragmented and the vendors are deploying growth strategies such as creating awareness about the benefits of using medical image analysis software to compete in the market. Click here to uncover other successful business strategies deployed by the vendors.

To make the most of the opportunities and recover from post COVID-19 impact, market vendors should focus more on the growth prospects in the fast-growing segments, while maintaining their positions in the slow-growing segments.

Download a free sample of the medical image analysis software market forecast report for insights on complete key vendor profiles. The profiles include information on the production, sustainability, and prospects of the leading companies.

Which are the Key Regions for Medical Image Analysis Software

According to Cognitive Market Research, the global big data analytics in healthcare market size is USD 30251.2 million in 2024 and will expand at a compound annual growth rate (CAGR) of 17.20% from 2024 to 2031.

North America held the major market of more than 40% of the global revenue with a market size of USD 12100.48 million in 2024 and will grow at a compound annual growth rate (CAGR) of 15.4% from 2024 to 2031.
Europe accounted for a share of over 30% of the global market size of USD 9075.36 million.
Asia Pacific held the market of around 23% of the global revenue with a market size of USD 6957.78 million in 2024 and will grow at a compound annual growth rate (CAGR) of 19.2% from 2024 to 2031.
Latin America's market has more than 5% of the global revenue, with a market size of USD 16.6 million in 2024, and will grow at a compound annual growth rate (CAGR) of 12.4% from 2024 to 2031.
Middle East and Africa held the major market of around 2% of the global revenue with a market size of USD 605.02 million in 2024 and will grow at a compound annual growth rate (CAGR) of 16.9% from 2024 to 2031.
The hospitals & clinics category held the highest big data analytics in healthcare market revenue share in 2024.

Market Dynamics of Big Data Analytics in Healthcare Market

Key Drivers for Big Data Analytics in Healthcare Market

Growing Use of EMR and EHR to Increase the Demand Globally:

One aspect that has contributed to the widespread implementation of EHR is government backing for their adoption, given their advantages over traditional paper-based health records. Adoption of EHRs benefits ambulatory practices and patients alike because they enhance patient care, facilitate faster access to records, and improve care coordination; increase practice efficiency and reduce costs through reduced paperwork; foster patient participation and transparency; and improve diagnostic and patient outcomes through accurate prescribing. For instance, To safeguard and legitimize digital healthcare data, the Indian government introduced the Digital Information Security in Healthcare Act (DISHA) in March 2019. The purpose of DISHA is to control the creation, gathering, storing, processing, sharing, and ownership of individually identifiable health information and patient health data. (Source: https://www.znetlive.com/blog/digital-information-security-healthcare-act-disha/).

Growing Need to Lower Medical Expenses to Propel Market Growth:

These days, rising operating costs are a problem for many hospitals and health organizations. Medical practices can operate more efficiently thanks to healthcare analytics. Reduced transcribing expenses, less time spent on paperwork, better billing documentation, fewer or no chart pulls, and storage, and better patient outcomes and care can all help cut down on operating expenses. It is said that putting this into practice saves a lot of money. Moreover, hospitals and medical practitioners can reduce unnecessary and excessive spending by utilizing analytical tools. Research has also shown that medical errors can result in billion-dollar expenses, including higher medical malpractice lawsuit costs and additional expenses for patients who require therapy to recover from errors in medicine. In addition, The application of predictive analytics can improve patient care and lower the likelihood of disease in the future. Thus, it is anticipated that the growing demand to lower operating costs in the healthcare sector will contribute to the expansion of big data analytics in healthcare market.

Key Restraint Factor for the Big Data Analytics in Healthcare Market

Rising Concerns About Safety Could Prevent Market Expansion:

The technology creates serious questions about data security and privacy, as well as about issues like fake data creation, the need for real-time protection, and its desire. Some of the current areas that require attention are the remote warehouse, improper identity management, inadequate acquisitions in the information security and systems, human error, networked appliances, and Internet of Things applications. Attempting to get around these problems is extremely difficult for associations. It is anticipated that the growing frequency of data loss incidents and cyberattacks on businesses that store customer data would hinder the industry's ability to grow. Furthermore, it is anticipated that upholding data privacy regulations such as the EU General...

Background: Digital data sources have become ubiquitous in modern culture in the era of digital technology but often tend to be under-researched because of restricted access to data sources due to fragmentation, privacy issues, or industry ownership, and the methodological complexity of demonstrating their measurable impact on human health. Even though new big data sources have shown unprecedented potential for disease diagnosis and outbreak detection, we need to investigate results in the existing literature to gain a comprehensive understanding of their impact on and benefits to human health.Objective: A systematic review of systematic reviews on identifying digital data sources and their impact area on people's health, including challenges, opportunities, and good practices.Methods: A multidatabase search was performed. Peer-reviewed papers published between January 2010 and November 2020 relevant to digital data sources on health were extracted, assessed, and reviewed.Results: The 64 reviews are covered by three domains, that is, universal health coverage (UHC), public health emergencies, and healthier populations, defined in WHO's General Programme of Work, 2019–2023, and the European Programme of Work, 2020–2025. In all three categories, social media platforms are the most popular digital data source, accounting for 47% (N = 8), 84% (N = 11), and 76% (N = 26) of studies, respectively. The second most utilized data source are electronic health records (EHRs) (N = 13), followed by websites (N = 7) and mass media (N = 5). In all three categories, the most studied impact of digital data sources is on prevention, management, and intervention of diseases (N = 40), and as a tool, there are also many studies (N = 10) on early warning systems for infectious diseases. However, they could also pose health hazards (N = 13), for instance, by exacerbating mental health issues and promoting smoking and drinking behavior among young people.Conclusions: The digital data sources presented are essential for collecting and mining information about human health. The key impact of social media, electronic health records, and websites is in the area of infectious diseases and early warning systems, and in the area of personal health, that is, on mental health and smoking and drinking prevention. However, further research is required to address privacy, trust, transparency, and interoperability to leverage the potential of data held in multiple datastores and systems. This study also identified the apparent gap in systematic reviews investigating the novel big data streams, Internet of Things (IoT) data streams, and sensor, mobile, and GPS data researched using artificial intelligence, complex network, and other computer science methods, as in this domain systematic reviews are not common.