logo
logo
AI Products 

Clinical Decision Support Systems Market 2024 : Global Industry Trends, Share, Size, Growth, Opportunity And Forecast To 2033

avatar
sai tbrc
Clinical Decision Support Systems Market 2024 : Global Industry Trends, Share, Size, Growth, Opportunity And Forecast To 2033

The Clinical Decision Support Systems Global Market Report 2024 by The Business Research Company provides market overview across 60+ geographies in the seven regions - Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa, encompassing 27 major global industries. The report presents a comprehensive analysis over a ten-year historic period (2010-2021) and extends its insights into a ten-year forecast period (2023-2033).


Learn More On The Clinical Decision Support Systems Market:

https://www.thebusinessresearchcompany.com/report/clinical-decision-support-systems-global-market-report


According to The Business Research Company’s Clinical Decision Support Systems Global Market Report 2024, The clinical decision support systems market size has grown rapidly in recent years. It will grow from $2.81 billion in 2023 to $3.14 billion in 2024 at a compound annual growth rate (CAGR) of 12.0%. The growth in the historic period can be attributed to increased healthcare data, advancements in medical knowledge, patient safety concerns, healthcare cost pressures, demand for evidence-based medicine.


The clinical decision support systems market size is expected to see rapid growth in the next few years. It will grow to $5.07 billion in 2028 at a compound annual growth rate (CAGR) of 12.7%. The growth in the forecast period can be attributed to precision medicine initiatives, value-based care models, real-time decision support, population health management, interoperability initiatives, cybersecurity concerns. Major trends in the forecast period include mobile and cloud-based cuss solutions, clinical workflow optimization, patient-centric cuss applications, real-time analytics for clinical insights, collaboration with telehealth services.


An increase in the adoption of information systems by hospitals is expected to drive the clinical decision support systems market growth going forward. Information systems consist of the software and hardware systems that are used to collect, store, and process data. Information systems are being adopted by healthcare facilities to promote smooth functioning and seamless clinical data flow. For instance, in 2021, according to the International Data Corporation (IDC), a US-based advisory services company, healthcare IT spending in Asia is expected to reach USD 14.9 billion by 2022. Hence, an increase in the adoption of information systems by hospitals is promoting clinical decision support systems market growth.


Get A Free Sample Of The Report (Includes Graphs And Tables):

https://www.thebusinessresearchcompany.com/sample.aspx?id=7151&type=smp


The clinical decision support systems market covered in this report is segmented –

1) By Component: Services, Software, Hardware

2) By Model: Knowledge-Based CDSS, Non-Knowledge CDSS

3) By Delivery Mode: On Premise, Cloud Based

4) By Application: Medical Diagnosis, Alerts And Reminders, Prescription Decision Support, Information Retrieval, Other Applications

5) By End-User: Clinics, Hospitals, Ambulatory Surgical Centers, Others End Users


Top Major Players

McKesson Corporation

Siemens Healthineers AG

Koninklijke Philips N.V.

GE Healthcare

Hera-MI LLC


Major companies operating in the clinical decision support systems market are focused on introducing advanced solutions, such as self-learning engines, to gain a competitive edge in the market. Self-learning engines are a type of artificial intelligence (AI) system that can improve its performance over time without the need for explicit programming or supervision. For instance, in February 2021, Apollo Hospitals Enterprise Limited, an Indian-based healthcare company, launched the Clinical Intelligence Engine (CIE) tool. The Clinical Intelligence Engine (CIE) tool is an artificial intelligence (AI)-based clinical decision support system (CDSS) tool to help in clinical decisions, condition management, home care, and wellness for qualified, practicing doctors. It is a self-learning engine that is capable of analyzing vast amounts of data, identifying patterns, and providing recommendations based on over 1300 conditions and 800 symptoms. It is designed to improve the healthcare experience for patients and is envisioned to make healthcare affordable to everyone by combining analytics, research, and advanced technology.


The clinical decision support systems market report table of contents includes:

1. Executive Summary

2. Clinical Decision Support Systems Market Characteristics

3. Clinical Decision Support Systems Market Trends And Strategies

4. Clinical Decision Support Systems Market - Macro Economic Scenario

5. Global Clinical Decision Support Systems Market Size and Growth

...............................

32. Global Clinical Decision Support Systems Market Competitive Benchmarking

33. Global Clinical Decision Support Systems Market Competitive Dashboard

34. Key Mergers And Acquisitions In The Clinical Decision Support Systems Market

35. Clinical Decision Support Systems Market Future Outlook and Potential Analysis

36. Appendix


Contact Us:

The Business Research Company

Europe: +44 207 1930 708

Asia: +91 88972 63534

Americas: +1 315 623 0293

Email: [email protected]


Follow Us On:

LinkedIn: https://in.linkedin.com/company/the-business-research-company

Twitter: https://twitter.com/tbrc_info 

Facebook: https://www.facebook.com/TheBusinessResearchCompany

YouTube: https://www.youtube.com/channel/UC24_fI0rV8cR5DxlCpgmyFQ

Blog: https://blog.tbrc.info/

Healthcare Blog: https://healthcareresearchreports.com/

Global Market Model: https://www.thebusinessresearchcompany.com/global-market-model

collect
0
avatar
sai tbrc
guide
Zupyak is the world’s largest content marketing community, with over 400 000 members and 3 million articles. Explore and get your content discovered.
Read more