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PUBLISHER: Global Market Insights Inc. | PRODUCT CODE: 1572481

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PUBLISHER: Global Market Insights Inc. | PRODUCT CODE: 1572481

Clinical Perinatal Software Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2024-2032

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PAGES: 100 Pages
DELIVERY TIME: 2-3 business days
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The Global Clinical Perinatal Software Market was valued at USD 277.2 million in 2023 and is projected to grow at a CAGR of 9.9% from 2024-2032. Several key trends are driving the market's dynamic growth. The integration of artificial intelligence (AI) and machine learning (ML) into perinatal software systems enhances predictive analytics and risk assessments, improving outcomes for mothers and fetuses. Additionally, the adoption of cloud-based solutions is rising, offering scalability, accessibility, and real-time data sharing, crucial for collaborative care during the perinatal phase. This shift supports remote monitoring and telehealth, enabling continuous care for expectant mothers in remote regions.

The overall clinical perinatal software industry is classified based on the product type, deployment mode, application, end-use, and region.

The market is segmented by product type into integrated and standalone solutions. In 2023, the integrated segment led the market with USD 168.0 million in revenue. This segment is expected to expand rapidly due to the demand for seamless workflow integration and technological advancements, including EHR, billing systems, PACS, AI, and data analytics. Enhanced software capabilities lead to more accurate predictions and tailored treatment plans, increasing adoption in maternity care. For instance, in January 2024, Pediatrix Medical Group adopted Sonio, a cloud-based, AI-driven prenatal care service, streamlining workflows and improving clinical outcomes.

By deployment mode, the market features on-premises and cloud-based solutions. The on-premises segment leads the market and is projected to grow at a CAGR of 9.3% during the forecast period. This preference is driven by heightened data security and privacy concerns, with healthcare institutions favoring direct control over sensitive patient data to meet stringent regulations like HIPAA. The on-premises model also offers enhanced customization and seamless integration with existing hospital systems.

In 2023, North America accounted for USD 103.7 million in revenue from the clinical perinatal software market, with robust growth projections. Factors such as a well-structured healthcare system and high healthcare spending drive this regional market's expansion. Data from the Centers for Medicare and Medicaid Services (CMS) suggests that U.S. healthcare spending could surpass USD 7.2 trillion by 2031, nearing 20.0% of the GDP. Perinatal birth rates in the region are influenced by various factors, including maternal age and health conditions.

Product Code: 10867

Table of Contents

Chapter 1 Methodology and Scope

  • 1.1 Market scope and definition
  • 1.2 Research design
    • 1.2.1 Research approach
    • 1.2.2 Data collection methods
  • 1.3 Base estimates and calculations
    • 1.3.1 Base year calculation
    • 1.3.2 Key trends for market estimation
  • 1.4 Forecast model
  • 1.5 Primary research and validation
    • 1.5.1 Primary sources
    • 1.5.2 Data mining sources

Chapter 2 Executive Summary

  • 2.1 Industry 360° synopsis

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
  • 3.2 Industry impact forces
    • 3.2.1 Growth drivers
      • 3.2.1.1 Rising number of natal mortality and preterm births
      • 3.2.1.2 Increasing adoption of artificial intelligence and data analytics in perinatal monitoring
      • 3.2.1.3 Growing government initiatives and awareness regarding fetal care
      • 3.2.1.4 Increasing healthcare expenditure
    • 3.2.2 Industry pitfalls and challenges
      • 3.2.2.1 Budget constraints and the need for extensive training
      • 3.2.2.2 Privacy and security concerns
  • 3.3 Growth potential analysis
  • 3.4 Regulatory landscape
  • 3.5 Future market trends
  • 3.6 Technological landscape
  • 3.7 Porter's analysis
  • 3.8 PESTEL analysis
  • 3.9 Gap analysis
  • 3.10 Artificial Intelligence: A primer for perinatal clinicians

Chapter 4 Competitive Landscape, 2023

  • 4.1 Introduction
  • 4.2 Company matrix analysis
  • 4.3 Competitive analysis of major market players
  • 4.4 Competitive positioning matrix
  • 4.5 Strategy dashboard

Chapter 5 Market Estimates and Forecast, By Product Type, 2021 - 2032 ($ Mn)

  • 5.1 Key trends
  • 5.2 Integrated
  • 5.3 Standalone

Chapter 6 Market Estimates and Forecast, By Deployment Mode, 2021 - 2032 ($ Mn)

  • 6.1 Key trends
  • 6.2 On-premises
  • 6.3 Cloud-based

Chapter 7 Market Estimates and Forecast, By Application, 2021 - 2032 ($ Mn)

  • 7.1 Key trends
  • 7.2 Fetal monitor data services
  • 7.3 Workflow management
  • 7.4 Patient documentation

Chapter 8 Market Estimates and Forecast, By End-use, 2021 - 2032 ($ Mn)

  • 8.1 Key trends
  • 8.2 Hospitals
  • 8.3 Maternity clinics

Chapter 9 Market Estimates and Forecast, By Region, 2021 - 2032 ($ Mn)

  • 9.1 Key trends
  • 9.2 North America
    • 9.2.1 U.S.
    • 9.2.2 Canada
  • 9.3 Europe
    • 9.3.1 Germany
    • 9.3.2 UK
    • 9.3.3 France
    • 9.3.4 Italy
    • 9.3.5 Spain
    • 9.3.6 Netherlands
    • 9.3.7 Rest of Europe
  • 9.4 Asia Pacific
    • 9.4.1 China
    • 9.4.2 Japan
    • 9.4.3 India
    • 9.4.4 Australia
    • 9.4.5 South Korea
    • 9.4.6 Rest of Asia Pacific
  • 9.5 Latin America
    • 9.5.1 Brazil
    • 9.5.2 Mexico
    • 9.5.3 Argentina
    • 9.5.4 Rest of Latin America
  • 9.6 Middle East and Africa
    • 9.6.1 South Africa
    • 9.6.2 Saudi Arabia
    • 9.6.3 UAE
    • 9.6.4 Rest of Middle East and Africa

Chapter 10 Company Profiles

  • 10.1 AS Software LLC
  • 10.2 Clinical Computer Systems Inc
  • 10.3 GE HealthCare
  • 10.4 Glen Med Solutions
  • 10.5 Huntleigh Healthcare Limited
  • 10.6 K2 Medical Systems Ltd
  • 10.7 Koninklijke Philips NV
  • 10.8 MCKESSON CORPORATION
  • 10.9 PeriGen Inc.
  • 10.10 Revvity
  • 10.11 Sonio SAS
  • 10.12 Trium Analysis Online GmbH
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Christine Sirois

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