GITNUX MARKETDATA REPORT 2024

Healthcare Data Analytics Industry Statistics

The healthcare data analytics industry is expected to experience significant growth in the coming years due to increasing demand for data-driven insights to improve patient care and operational efficiency.

Highlights: Healthcare Data Analytics Industry Statistics

  • The global healthcare data analytics market size was valued at USD 14.6 billion in 2019.
  • The healthcare analytics market is expected to reach $50.5 billion by 2024 from $14.0 billion in 2019, at a CAGR of 28.3%.
  • Fraud detection held the largest share in the healthcare analytics market in 2019.
  • 79% of executives expect to increase investment in data analytics over the next three years.
  • 76% of healthcare executives plan to invest in AI and predictive analytics.
  • 60% of all healthcare data is predicted to be transferred through the cloud by 2025.
  • North America commands the largest share of 66.4% of the healthcare analytics market.
  • 31% of healthcare organizations have a fully operational data warehouse.
  • Clinical outcomes analytics was the top 2020 investment priority for surveyed healthcare CIOs.
  • The predictive analytics market in healthcare is expected to grow from USD 1.8 billion in 2020 to USD 5.2 billion by 2025.
  • Only 37% of healthcare organizations report being successful at connecting analytics to action.
  • 84% of healthcare organizations use Cloud-based apps today.
  • By 2023, the healthcare big data analytics market is expected to reach $68.75 billion.
  • Over 97% of senior medical leaders believe predictive analytics is important for the future of their business.
  • Only 20% of healthcare executives trust the data from their organizations.
  • 29% of healthcare providers are still in the early stages of their digital health evolution journey, and relationship with analytics.

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The Latest Healthcare Data Analytics Industry Statistics Explained

The global healthcare data analytics market size was valued at USD 14.6 billion in 2019.

The statistic indicates that the global healthcare data analytics market was worth USD 14.6 billion in 2019. This figure represents the total monetary value of the market’s products and services related to utilizing data analytics within the healthcare sector worldwide during that year. The value of the market reflects the significant demand and investment in data analytics tools and solutions to optimize healthcare operations, improve patient care, and drive healthcare innovation. This market size serves as a benchmark for understanding the scale and growth potential of the healthcare data analytics industry, highlighting the importance and increasing relevance of data-driven decision-making in the healthcare domain.

The healthcare analytics market is expected to reach $50.5 billion by 2024 from $14.0 billion in 2019, at a CAGR of 28.3%.

The statistic indicates that the healthcare analytics market is projected to experience significant growth over the forecast period, with a Compound Annual Growth Rate (CAGR) of 28.3% from 2019 to 2024. This suggests a robust expansion in the market size from $14.0 billion in 2019 to an estimated $50.5 billion by 2024. The substantial growth is driven by various factors such as the increasing adoption of digital technologies in healthcare, rising demand for advanced data analytics solutions to improve patient outcomes, and the need for effective cost management in healthcare organizations. This growth trajectory reflects the growing importance of data-driven decision-making and analytics in the healthcare industry to enhance operational efficiency, clinical outcomes, and overall healthcare delivery.

Fraud detection held the largest share in the healthcare analytics market in 2019.

The statistic “Fraud detection held the largest share in the healthcare analytics market in 2019” indicates that within the realm of healthcare analytics, the segment focusing on identifying and mitigating instances of fraud was the most prominent in terms of market size and significance during the year 2019. This suggests that healthcare organizations and relevant stakeholders placed a strong emphasis on using analytical tools and techniques to detect fraudulent activities within the healthcare sector, likely due to the substantial financial losses and ethical implications associated with fraud in this industry. The prominence of fraud detection in the healthcare analytics market underscores the critical importance of leveraging data analytics for the purpose of ensuring integrity and accountability within healthcare systems.

79% of executives expect to increase investment in data analytics over the next three years.

The statistic indicates that a significant majority of executives, specifically 79%, are planning to increase their investment in data analytics within the next three years. This suggests a strong trend towards recognizing the value and importance of data analytics in decision-making processes and overall business strategy among executives. By prioritizing investment in data analytics tools and capabilities, these executives are likely aiming to leverage data-driven insights to enhance operational efficiencies, strategic planning, and overall competitiveness in their respective industries. This statistic underscores the growing recognition of data analytics as a critical asset for organizations looking to drive innovation and success in the current business landscape.

76% of healthcare executives plan to invest in AI and predictive analytics.

The statistic that 76% of healthcare executives plan to invest in AI and predictive analytics indicates a strong intention among industry leaders to adopt advanced technology tools to improve healthcare outcomes and operations. This high percentage suggests a widespread recognition of the potential benefits of leveraging artificial intelligence and predictive analytics in enhancing decision-making processes, optimizing resource allocation, and ultimately driving better patient care. The proactive stance taken by healthcare executives in planning to invest in these technologies implies a shift towards a data-driven approach in the industry, with a focus on leveraging advanced analytics to tackle challenges and capitalize on opportunities in the healthcare sector.

60% of all healthcare data is predicted to be transferred through the cloud by 2025.

This statistic suggests that a significant portion, specifically 60%, of all healthcare data is expected to be transmitted and stored through cloud-based platforms by the year 2025. This shift towards cloud computing in the healthcare industry reflects an increasing reliance on digital technologies to streamline data management, improve accessibility, and enhance collaboration among healthcare providers. The transition to cloud-based systems may offer numerous benefits such as scalability, cost-effectiveness, and increased efficiency in data sharing and analysis. However, it also raises concerns related to data security, privacy protection, and regulatory compliance that healthcare organizations need to address in order to ensure the confidentiality and integrity of patient information.

North America commands the largest share of 66.4% of the healthcare analytics market.

The statistic “North America commands the largest share of 66.4% of the healthcare analytics market” indicates that North America, including the United States and Canada, holds a significant portion of the global healthcare analytics market. This means that the region accounts for approximately two-thirds of the total market value for healthcare analytics solutions and services. This could be attributed to factors such as the advanced healthcare infrastructure, increasing adoption of technology in healthcare systems, and a growing focus on data-driven decision-making in the region. This statistic highlights the dominance of North America in the healthcare analytics space and signifies its importance as a key market for analytics providers and healthcare organizations looking to leverage data for improving patient care, operational efficiency, and overall performance.

31% of healthcare organizations have a fully operational data warehouse.

The statistic that 31% of healthcare organizations have a fully operational data warehouse indicates that a relatively small proportion of healthcare entities have implemented a comprehensive system for collecting and analyzing data. Data warehouses play a crucial role in healthcare by enabling the storage and organization of large volumes of information from various sources, which in turn supports decision-making, research, and improving patient care. The fact that less than a third of healthcare organizations have fully operational data warehouses suggests that there is still significant room for growth and advancement in leveraging data-driven strategies within the healthcare industry.

Clinical outcomes analytics was the top 2020 investment priority for surveyed healthcare CIOs.

The statistic suggests that based on a survey of healthcare Chief Information Officers (CIOs) conducted in 2020, investing in the field of clinical outcomes analytics emerged as the top priority for healthcare organizations. Clinical outcomes analytics involves using data and statistical analysis to evaluate the effectiveness, efficiency, and quality of healthcare services provided. By prioritizing investments in this area, healthcare organizations are likely seeking to leverage data-driven insights to improve patient outcomes, optimize resource allocation, enhance decision-making processes, and ultimately drive improvements in overall patient care delivery. This emphasis on clinical outcomes analytics reflects a growing recognition within the healthcare industry of the importance of utilizing data-driven approaches to drive performance improvements and ultimately enhance the quality of care provided to patients.

The predictive analytics market in healthcare is expected to grow from USD 1.8 billion in 2020 to USD 5.2 billion by 2025.

The statistic indicates that the predictive analytics market in healthcare is projected to experience significant growth over the next five years, increasing from USD 1.8 billion in 2020 to USD 5.2 billion by 2025. This three-fold increase suggests a rising demand for predictive analytics solutions within the healthcare industry, driven by factors such as the increasing adoption of digital technologies, the need for more efficient and effective healthcare delivery, and the growing focus on data-driven decision-making. The expansion of this market reflects a trend towards leveraging advanced analytics tools to improve patient outcomes, streamline healthcare operations, reduce costs, and enhance overall quality of care.

Only 37% of healthcare organizations report being successful at connecting analytics to action.

This statistic indicates that a relatively low proportion, specifically 37%, of healthcare organizations feel that they have effectively translated analytic findings into practical actions or decisions within their operations. Despite the growing utilization of data analytics in the healthcare sector to improve patient care, enhance efficiency, and drive overall performance, a significant number of organizations still struggle to bridge the gap between data insights and actual implementation. This suggests a potential disconnect between the analytics capabilities of these organizations and their ability to leverage these insights to enact meaningful changes or improvements in their practices. Efforts to enhance the integration of data analytics with actionable strategies may be crucial for organizations to maximize the benefits of their analytic endeavors and achieve better outcomes in healthcare delivery.

84% of healthcare organizations use Cloud-based apps today.

The statistic ‘84% of healthcare organizations use Cloud-based apps today’ indicates that a large majority of healthcare organizations have integrated cloud-based applications into their operations. Cloud-based apps offer numerous benefits to healthcare organizations, such as increased flexibility, scalability, and cost-effectiveness. By adopting cloud technology, healthcare providers can store and access patient data securely, collaborate with colleagues more efficiently, and streamline various processes. This statistic highlights the growing trend within the healthcare industry towards leveraging cloud-based solutions to improve patient care and enhance operational efficiency.

By 2023, the healthcare big data analytics market is expected to reach $68.75 billion.

The statistic that the healthcare big data analytics market is projected to reach $68.75 billion by 2023 implies a significant growth in the industry’s data analytics capabilities and investments. This estimate suggests a growing reliance on data-driven insights to improve healthcare outcomes, drive operational efficiencies, and enhance patient care. The substantial market size indicates the increasing recognition of the value of leveraging data analytics in managing healthcare systems, clinical decision-making, biomedical research, and public health initiatives. This trend underscores the importance of advanced analytics tools and technologies in transforming the healthcare sector towards more data-driven and evidence-based practices.

Over 97% of senior medical leaders believe predictive analytics is important for the future of their business.

The statistic “Over 97% of senior medical leaders believe predictive analytics is important for the future of their business” indicates a high level of support and recognition among senior medical professionals for the significance of predictive analytics in driving decision-making and strategic planning within the healthcare industry. This statistic suggests that the vast majority of senior medical leaders consider predictive analytics to be a valuable tool for improving operational efficiency, patient care outcomes, and overall business performance. The widespread support for predictive analytics underscores a growing trend towards data-driven decision-making and the increasing recognition of the potential benefits that advanced analytics can offer in healthcare management and planning.

Only 20% of healthcare executives trust the data from their organizations.

The statistic “Only 20% of healthcare executives trust the data from their organizations” suggests that a significant majority of healthcare executives, 80%, lack confidence in the data being used within their organizations for decision-making purposes. This low level of trust can have serious implications for the quality and effectiveness of strategic decision-making processes within healthcare organizations, ultimately impacting patient care and overall business performance. It highlights a crucial issue in the healthcare industry, indicating a need for improvements in data governance, integrity, and transparency to enhance the credibility and reliability of data-driven decision-making processes in healthcare settings.

29% of healthcare providers are still in the early stages of their digital health evolution journey, and relationship with analytics.

The statistic that 29% of healthcare providers are still in the early stages of their digital health evolution journey and relationship with analytics indicates that a significant portion of healthcare organizations are just beginning to leverage digital technologies and analytics to improve their operations and patient care. This suggests that there is still a notable gap in the adoption and integration of digital health solutions within the healthcare industry, with many providers yet to fully embrace the potential benefits of digital tools and data analytics. As technology continues to advance and play a larger role in healthcare delivery, these organizations may need to prioritize investments in digital transformation to remain competitive and provide high-quality care to patients.

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How we write our statistic reports:

We have not conducted any studies ourselves. Our article provides a summary of all the statistics and studies available at the time of writing. We are solely presenting a summary, not expressing our own opinion. We have collected all statistics within our internal database. In some cases, we use Artificial Intelligence for formulating the statistics. The articles are updated regularly.

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