AI 통합으로 임상 결과 개선 및 혁신적 성장 견인
효과적인 집단건강관리에 대한 관심이 높아짐에 따라 의료 기관은 차세대 임상 의사결정 지원 도구의 도입을 촉진하고 시장 성장을 주도하고 있습니다. 의료 시스템은 임상 품질과 효율성에 대한 심각한 도전에 직면하고 있으며, 임상의사결정지원시스템(CDSS)의 도입에 대한 관심이 높아지고 있습니다. 이러한 도구는 병원과 재택의료 환경 모두에서 조기 진단과 적시에 정확한 임상적 개입을 촉진합니다. 또한 환자의 합병증 예방에도 도움이 되어 입원이나 중환자실 입실과 같은 비용이 많이 드는 개입의 필요성을 줄일 수 있습니다. 생성형 AI와 대화형 AI를 포함한 인공지능(AI)과 머신러닝의 기술 발전은 CDSS 솔루션의 지속적인 혁신을 촉진하고 있습니다.
Frost & Sullivan의 보고서는 세계 CDSS 시장에 대한 개요를 제공하고, 의사결정 증거/프로토콜, 의사결정 워크플로우, 의사결정 분석, 의사결정 전달의 각 애플리케이션 부문에 대한 수익 예측을 포함한 상세한 분석을 제공합니다. 또한, 이 시장의 촉진요인과 억제요인을 검토하고, 이 분야의 변화로 인해 시장 기업 및 관계자들이 활용해야 할 기회를 식별합니다. 기준 연도는 2024년, 예측 기간은 2025년부터 2030년까지입니다.
수익 예측
기준 연도인 2024년 매출 추정치는 107억 5,280만 달러이며, 2024년부터 2030년까지 조사 기간 동안 7.6%의 CAGR을 기록할 것으로 예상됩니다.
주요 경쟁사
AI Integration is Driving Transformational Growth by Enabling Improvements in Clinical Outcomes
The increasing focus on effective population health management is prompting healthcare organizations to adopt next-generation clinical decision support tools that drive market growth. Healthcare systems continue to face significant clinical quality and efficiency challenges, leading to a heightened focus on implementing clinical decision support systems (CDSS). These tools facilitate early diagnosis and timely, precise clinical interventions in both hospital and home-based healthcare settings. They also help prevent complications in patient conditions, thereby reducing the need for costly interventions such as hospital readmissions and ICU admissions. Technological advancements in artificial intelligence (AI) and machine learning, including generative AI and conversational AI, are boosting ongoing innovation in CDSS solutions.
This Frost & Sullivan report provides an overview of the global CDSS market, offering a detailed analysis, including a revenue forecast, for each application segment, namely, decision evidence/protocols, decision workflow, decision analytics, and decision delivery. The report also examines the factors driving and restraining this market and identifies the opportunities emerging from the changes in this space for market players and stakeholders to leverage. The base year is 2024, and the forecast period is from 2025 to 2030.
Revenue Forecast
The revenue estimate for the base year 2024 is $10,752.8 million, with a CAGR of 7.6% for the study period from 2024 to 2030.
Scope of Analysis
The Impact of the Top 3 Strategic Imperatives on the CDSS Industry
Disruptive Technologies
WHY: The CDSS has witnessed significant advancements with the development and integration of new technologies such as AI, cloud, predictive analytics, and mobile platforms, and it will continue to impact CDSS workflows in the next few years. To achieve a highly accessible, flexible, and scalable CDSS solution, end users will continue to look for technology advancements.
FROST PERSPECTIVE: Companies need to identify new use cases and build a strong foundation of evidence-based content. The integration of dynamic AI, specifically, a combination of conversational AI and generative AI (GenAI), can empower end users with easy access to relevant information, enabling them to, for instance, create documents for administrative purposes.
Innovative Business Models
WHY: A high upfront installation and implementation cost has restrained the widespread adoption of CDSS solutions. CDSS has significant potential to improve healthcare outcomes with better clinical recommendations, ultimately benefiting patients and providers in terms of cost and resource utilization.
FROST PERSPECTIVE: Evolving business models such as software-as-a-service (SaaS), subscription models, and risk-based incentives created by technology vendors can provide flexibility in upfront investment and boost CDSS adoption. Growing awareness about the long-term benefits of improved health outcomes and economic growth will drive CDSS growth in the next few years.
Transformative Megatrends
WHY: Medical errors and staff burnout affect healthcare systems' ability to provide optimal patient care. Transitions to home care, a focus on value-based care, an increasing number of data sources, revisions of guidelines, and revenue losses also present significant challenges. Moreover, growing healthcare consumerism and a shift towards personalized care exhaust stakeholders in the face of critical decision-making moments. This is where CDSS has the biggest impact.
FROST PERSPECTIVE: This evolving market demands that vendors regularly update their products and features. Expanding offerings is critical to remaining a viable player. However, such developments cannot happen in isolation. Vendors need to include key end users and decision-makers in their research and development (R&D) programs to best target their investments toward those stakeholders' pain points. To stay ahead of the competition, companies must utilize both organic and inorganic growth pathways.
Key Competitors
Competitive Environment
Number of Competitors
>50 with revenue greater than $1.0 million
Competitive Factors
Cost, performance, support, technology, reliability, contractor relationships
Key End-user Industry Verticals
Providers, hospitals, primary care centers, medical devices, payers
Leading Competitors
Wolters Kluwer, Philips Healthcare, Optum, Hearst Health, Oracle Health
Revenue Share of Top 4 Competitors (2024)
18.3%
Other Notable Competitors
athenahealth, Elsevier, EBSCO, eClinicalWorks, Epic
Distribution Structure
OEMs, retail sales, direct sales, Cloud-based SaaS
Notable Acquisitions and Mergers
Health Catalyst acquired ARMUS Corporation; Oracle acquired Cerner
Growth Drivers
Value-based Care and Population Health Management: The shift towards value-based care models and population health management strategies has placed a greater emphasis on CDSS. These solutions can assist healthcare providers in identifying high-risk patients, stratifying populations, and developing targeted interventions. By supporting evidence-based decision-making, CDSS contribute to improved patient outcomes and better management of chronic conditions, aligning with the goals of value-based care.
Growing Demand for Personalized Medicine: Personalized medicine, which involves tailoring medical treatment to individual patients based on their unique characteristics, is gaining traction. CDSS can play a crucial role in facilitating personalized medicine by integrating patient-specific data, genetic information, and clinical guidelines to provide tailored recommendations. This growing demand for personalized medicine is a significant driver.
Rising Healthcare Costs and Resource Constraints: Healthcare systems worldwide are facing increasing financial pressures and resource constraints. CDSS can help optimize resource utilization by providing real-time clinical insights, reducing unnecessary tests and procedures, and improving overall efficiency. This cost-effectiveness aspect is a significant driver for the adoption of CDSS solutions.
Growth Restraints
Cost and Budgetary Constraints: Implementing and maintaining CDSS software can be costly, especially for smaller healthcare organizations or those with limited budgets. The investments in hardware, software licenses, infrastructure upgrades, and ongoing maintenance and support costs can be significant. Budgetary constraints may deter healthcare providers from adopting CDSS, especially if they perceive the benefits as uncertain or difficult to quantify.
Clinician Acceptance and Alert Fatigue: Clinicians may be skeptical of automated systems' accuracy or be concerned about a loss of autonomy. Moreover, too many or unimportant alerts may lead to alert fatigue among physicians, affecting the usage of CDSS.
System Integration Complexities: Variations in standards for healthcare records can present challenges in effective CDSS integration with existing hospital IT systems.