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Artificial Intelligence (AI) In Remote Postnatal Care Market - Forecasts from 2024 to 2029

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    Report

  • 140 Pages
  • October 2024
  • Region: Global
  • Knowledge Sourcing Intelligence LLP
  • ID: 6030802
Artificial Intelligence (AI) in the remote postnatal care market is expected to grow at a CAGR of 28.54%, reaching a market size of US$2.82 billion in 2029 from US$805.418 million in 2024.

The use of artificial intelligence (AI) in remote post-natal care is on the rise, and it is revolutionizing every process in postnatal care services. The essence of postnatal care is safeguarding the well-being of both the mother and child, also known as the postpartum stage. Other than the normal healthcare institutions, these technologies enhance the patient experience and develop new ways of monitoring mothers and babies remotely creatively. These solutions make it possible to monitor postpartum health parameters, assess the risks of complications at an early stage and provide individual face-to-face and distance recommendations for breastfeeding, nutrition and self-care.

Operative postnatal care that is remote and more easily availed with AI features benefits women residing in the countryside by improving healthcare services and also leads to effective postpartum care. Given the growing interest in AI technologies, AI in the remote postnatal care market has incredible potential to change the way postnatal care is provided to mothers and babies.

Artificial intelligence (AI) in remote postnatal care market drivers?

Increasing awareness and adoption of remote healthcare solutions enhances AI in the remote postnatal care market growth.

The penetration and adoption of distant healthcare services is yet another factor fuelling AI incorporation in the remote postnatal care market. The perception of remote treatment by patients and medics has changed for the better, and with technological improvements, even the most challenging remote treatment is conquering its limits. It enables mothers and infants to receive tailored services, comfort, and monitoring at all times. Thus, postnatal care solutions are perfect for improving maternal health outcomes. There is a widespread acknowledgment of the advantages of remote healthcare systems, and this is boosting the incorporation of AI solutions in postnatal care.

Artificial intelligence (AI) in remote postnatal care market - geographical outlook

North America is witnessing exponential growth during the forecast period

North America has been at the forefront of harnessing AI technologies in the healthcare sector, including remote solutions for postnatal care. The importance of this region results from its developed healthcare situation, the deep concern for maternal and child care, and the wide use of telemedicine and AI. In addition, large companies and innovative startups support the North American AI healthcare market, contributing to the fast development of technologies and market growth. It also helps to strengthen the development of AI in the remote postnatal care market thanks to the region’s amiable policies and high digitalization levels of patients and medical practitioners.

Reasons for buying this report::

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
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Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data & forecasts from 2022 to 2029
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

The Artificial Intelligence (AI) in remote postnatal care market is segmented and analyzed as follows:

By Technology

  • Artificial Intelligence (AI)
  • Machine Learning
  • Natural Language Processing (NLP)
  • Computer Vision
  • Others

By Application

  • Maternal Health Monitoring
  • Newborn Health Monitoring
  • Postpartum Recovery Support
  • Breastfeeding Support
  • Mental Health And Well-Being
  • Others

By End-User

  • Hospitals And Clinics
  • Maternity Centers
  • Research Institutes And Academic Centers
  • Patients (Direct-To-Consumer)
  • Others

By Geography

  • North America
  • United States
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • United Kingdom
  • Germany
  • France
  • Italy
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Others
  • Asia Pacific
  • Japan
  • China
  • India
  • South Korea
  • Taiwan
  • Thailand
  • Indonesia
  • Others

Table of Contents

1. INTRODUCTION
1.1. Market Overview
1.2. Market Definition
1.3. Scope of the Study
1.4. Market Segmentation
1.5. Currency
1.6. Assumptions
1.7. Base and Forecast Years Timeline
1.8. Key Benefits to the Stakeholder
2. RESEARCH METHODOLOGY
2.1. Research Design
2.2. Research Processes
3. EXECUTIVE SUMMARY
3.1. Key Findings
3.2. CXO Perspective
4. MARKET DYNAMICS
4.1. Market Drivers
4.2. Market Restraints
4.3. Porter’s Five Forces Analysis
4.3.1. Bargaining Power of Suppliers
4.3.2. Bargaining Power of Buyers
4.3.3. Threat of New Entrants
4.3.4. Threat of Substitutes
4.3.5. Competitive Rivalry in the Industry
4.4. Industry Value Chain Analysis
4.5. Analyst View
5. ARTIFICIAL INTELLIGENCE (AI) IN REMOTE POSTNATAL CARE MARKET BY TECHNOLOGY
5.1. Introduction
5.2. Artificial Intelligence (AI)
5.3. Machine Learning
5.4. Natural Language Processing (NLP)
5.5. Computer Vision
5.6. Others
6. ARTIFICIAL INTELLIGENCE (AI) IN REMOTE POSTNATAL CARE MARKET BY APPLICATION
6.1. Introduction
6.2. Maternal Health Monitoring
6.3. Newborn Health Monitoring
6.4. Postpartum Recovery Support
6.5. Breastfeeding Support
6.6. Mental Health and Well-Being
6.7. Others
7. ARTIFICIAL INTELLIGENCE (AI) IN REMOTE POSTNATAL CARE MARKET BY END-USER
7.1. Introduction
7.2. Hospitals And Clinics
7.3. Maternity Centers
7.4. Research Institutes And Academic Centers
7.5. Patients (Direct-To-Consumer)
7.6. Others
8. ARTIFICIAL INTELLIGENCE (AI) IN REMOTE POSTNATAL CARE MARKET BY GEOGRAPHY
8.1. Introduction
8.2. North America
8.2.1. By Technology
8.2.2. By Application
8.2.3. BY End-User Industry
8.2.4. By Country
8.2.4.1. United States
8.2.4.2. Canada
8.2.4.3. Mexico
8.3. South America
8.3.1. By Technology
8.3.2. By Application
8.3.3. BY End-User Industry
8.3.4. By Country
8.3.4.1. Brazil
8.3.4.2. Argentina
8.3.4.3. Others
8.4. Europe
8.4.1. By Technology
8.4.2. By Application
8.4.3. BY End-User Industry
8.4.4. By Country
8.4.4.1. United Kingdom
8.4.4.2. Germany
8.4.4.3. France
8.4.4.4. Italy
8.4.4.5. Spain
8.4.4.6. Others
8.5. Middle East and Africa
8.5.1. By Technology
8.5.2. By Application
8.5.3. BY End-User Industry
8.5.4. By Country
8.5.4.1. Saudi Arabia
8.5.4.2. UAE
8.5.4.3. Others
8.6. Asia Pacific
8.6.1. By Technology
8.6.2. By Application
8.6.3. BY End-User Industry
8.6.4. By Country
8.6.4.1. Japan
8.6.4.2. China
8.6.4.3. India
8.6.4.4. South Korea
8.6.4.5. Taiwan
8.6.4.6. Thailand
8.6.4.7. Indonesia
8.6.4.8. Others
9. COMPETITIVE ENVIRONMENT AND ANALYSIS
9.1. Major Players and Strategy Analysis
9.2. Market Share Analysis
9.3. Mergers, Acquisitions, Agreements, and Collaborations
9.4. Competitive Dashboard
10. COMPANY PROFILES
10.1. Medtronic Plc
10.2. Babyscripts, Inc.
10.3. Cleo
10.4. Bloomlife, Inc
10.5. Wildflower Health
10.6. Mira Fertility Tracker
10.7. Bloomlife, Inc.
10.8. Totohealth Kenya
10.9. Ovia Health
10.10. Ibirth

Companies Mentioned

  • Medtronic Plc
  • Babyscripts, Inc.
  • Cleo
  • Bloomlife, Inc
  • Wildflower Health
  • Mira Fertility Tracker
  • Bloomlife, Inc.
  • Totohealth Kenya
  • Ovia Health
  • Ibirth

Methodology

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