The global pediatric electronic health records (EHR) software market was valued at USD 40.42 billion in 2024 and is projected to grow from USD 43.39 billion in 2025 to approximately USD 82.15 billion by 2034, registering a compound annual growth rate (CAGR) of 7.35% over the forecast period. This growth is primarily driven by the healthcare sector’s ongoing shift toward digitalization. Additionally, the increasing volume of medical records is fueling demand for EHR software, further contributing to market expansion.
Key Highlights of the Pediatric Electronic Health Records (EHR) Software Market
- The global pediatric EHR software market was valued at USD 40.42 billion in 2024.
- It is projected to grow to USD 82.15 billion by 2034, expanding at a CAGR of 7.35% from 2025 to 2034.
- North America led the market in 2024, holding the largest share of global revenue.
- The Asia Pacific region is expected to register the fastest CAGR during the forecast period.
- Software services dominated the market by component in 2024 and are expected to retain the leading position through 2034.
- In terms of deployment, the cloud-based segment accounted for the largest market share in 2024.
- The on-premises deployment segment is forecast to grow steadily at a notable CAGR between 2025 and 2034.
- By application, clinical documentation held a significant share of the market in 2024.
- The patient management segment is expected to witness considerable growth over the forecast period.
- Based on enterprise size, large enterprises contributed the highest share in 2024.
- Meanwhile, small and medium enterprises (SMEs) are projected to expand at a strong CAGR from 2025 to 2034.
- Among end-users, hospitals and clinics generated the majority of the market revenue in 2024.
- The diagnostic centers segment is expected to grow substantially during the forecast period.
How AI Is Transforming Pediatric Electronic Health Records (EHR) Software
Artificial Intelligence (AI) is significantly reshaping pediatric electronic health records software by streamlining administrative workflows, enhancing diagnostic precision, and improving the overall quality of patient care. AI-powered analytics enable early detection of subtle disease indicators, supporting more informed clinical decision-making.
When integrated with pediatric EHR systems, AI can deliver real-time, evidence-based recommendations tailored to pediatric care. These intelligent insights contribute to more accurate diagnoses and optimized treatment plans. Although pediatric EHR systems are often complex, AI simplifies the interface and supports real-time decision-making, even in intricate clinical scenarios. Beyond improving clinical outcomes and operational efficiency, AI also plays a key role in increasing patient and family engagement.
A notable example is ChatEHR, an AI tool developed at Stanford Medicine, which is currently being piloted by a group of 33 physicians, nurses, and physician assistants. This innovative software allows users to interact with medical records through natural language queries powered by large language models such as GPT-4—making access to critical patient information more intuitive and efficient.
