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세계의 헬스케어용 인공지능 시장 규모, 점유율, 동향 분석 리포트 : 제공별, 소프트웨어 플랫폼별, 소프트웨어 솔루션별, 기술별, 최종 용도별, 용도별, 지역별 전망과 예측(2024-2031년)
Global Artificial Intelligence in Healthcare Market Size, Share & Trends Analysis Report By Offering, By Software Platform, By Software Solution, By Technology, By End-use, By Application, By Regional Outlook and Forecast, 2024 - 2031
상품코드 : 1483499
리서치사 : KBV Research
발행일 : 2024년 05월
페이지 정보 : 영문 553 Pages
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한글목차

세계의 헬스케어용 인공지능(AI) 시장 규모는 예측 기간 중 41.3%의 CAGR로 시장이 성장하며, 2031년까지 2,379억 달러에 달할 것으로 예상되고 있습니다.

KBV Cardinal Matrix-헬스케어 시장 경쟁 분석

KBV Cardinal Matrix에 제시된 분석에 따르면 Microsoft Corporation과 Google LLC가 시장을 선도하고 있으며, 2023년 12월Google LLC는 의료 기관의 운영 효율성을 높이기위한 기본 모델 제품군 인 MedLM의 출시를 발표했습니다. MedLM 모델은 AI를 탑재하고 이전 Med-PaLM을 기반으로 하여 운영의 유연성을 제공하는 MedLM 모델 출시를 발표했으며, 엔비디아(NVIDIA Corporation), 아마존 웹 서비스(Amazon Web Services, Inc.), Oracle(Oracle Corporation)과 같은 기업은 시장의 등의 기업이 시장의 주요 혁신가 중 일부입니다.

출처: KBV 리서치 및 2차 조사 분석

출처: KBV 리서치 및 2차 조사 분석

COVID-19의 영향 분석

AI 기반 진단 툴은 COVID-19 감염을 나타내는 패턴을 식별하여 방사선과 전문의와 임상의가 환자를 선별하고, 자원의 우선순위를 정하고, 적시에 치료 결정을 내릴 수 있도록 지원합니다. AI 기반 원격 모니터링 장비와 원격의료 플랫폼은 가상 상담, 원격 환자 모니터링, 디지털 의료 개입을 지원하여 바이러스 감염 위험을 줄이고 치료의 질을 향상시키는 데 도움을 줄 수 있습니다. 바이러스 감염 위험을 줄이면서 진료의 연속성을 보장합니다. 이처럼 COVID-19 팬데믹은 시장에 긍정적인 영향을 미쳤습니다.

시장 성장 요인

AI 기능이 탑재된 수술용 로봇은 로봇 보조 수술이나 영상 유도 수술과 같은 최소 침습 수술시 정확성, 손재주, 제어력을 향상시킵니다. 로봇공학과 AI를 활용한 보조 기술은 신경계, 근골격계 및 운동 기능 장애가 있는 환자의 재활과 이동을 돕습니다. 따라서 헬스케어 로봇공학 및 자동화로 인해 시장이 크게 확대될 것으로 예상됩니다.

AI 기반 툴을 통해 노인의 건강 상태와 일상 활동을 원격으로 모니터링할 수 있습니다. 웨어러블 기기, 스마트홈 센서 및 AI 기반 모니터링 시스템은 활력 징후를 추적하고, 낙상을 감지하고, 복약 순응도를 모니터링하여 독거노인이나 간병인의 지원이 제한적인 노인의 안전과 건강을 보장하기 위해 실시간 경고 및 지원을 제공합니다. 낙상 감지 및 응급 대응 툴은 특히 거동이 불편하거나 균형 감각이 떨어지는 노인의 낙상 및 사고 가능성을 줄이는 데 도움이 될 수 있습니다. 따라서 노인 간호를 위한 AI 기반 툴의 잠재력이 증가함에 따라 시장이 크게 확대되고 있습니다.

시장 성장 억제요인

헬스케어 분야의 AI 규제 프레임워크는 계속 진화하고 있으며, 규제 당국은 알고리즘의 투명성, 책임성, 책임감 등 AI 기반 기술이 초래하는 새로운 도전과제를 해결하기 위해 노력하고 있습니다. 임상시험 수행, 규제 당국의 승인 획득, 문서 및 품질 관리 시스템 유지 등 규제 준수와 관련된 비용은 특히 스타트업, 중소기업, 자원과 자금이 부족한 연구 구상에 엄청난 비용이 소요될 수 있습니다. 따라서 규제 및 법적 문제, 시장 성장 둔화 등의 문제가 발생할 수 있습니다.

제공 전망

제공하는 내용에 따라 시장은 하드웨어, 소프트웨어, 서비스로 분류됩니다. 하드웨어 부문은 2023년 시장에서 30%의 매출 점유율을 차지할 것으로 예상되며, IoT 기기, 웨어러블, 의료기기와 같은 엣지 컴퓨팅 기기는 케어 포인트에서 AI 알고리즘을 실행하는 데 필요한 처리 능력을 제공합니다. 엣지 기기에서 데이터를 로컬로 처리함으로써 AI 기반 헬스케어 용도는 중앙 집중식 클라우드 인프라에 의존하지 않고도 의료 서비스 프로바이더에게 실시간 인사이트와 의사결정 지원을 제공하여 속도, 보안, 프라이버시를 향상시킬 수 있습니다.

기술 전망

목차

제1장 시장 범위와 조사 방법

제2장 시장 요약

제3장 시장 개요

제4장 경쟁 분석 - 세계

제5장 세계의 헬스케어용 인공지능(AI) 시장 : 제공별

제6장 세계의 헬스케어용 인공지능(AI) 시장 : 기술별

제7장 세계의 헬스케어용 인공지능(AI) 시장 : 최종 용도별

제8장 세계의 헬스케어용 인공지능(AI) 시장 : 용도별

제9장 세계의 헬스케어용 인공지능(AI) 시장 : 지역별

제10장 기업 개요

KSA
영문 목차

영문목차

The Global Artificial Intelligence (AI) in Healthcare Market size is expected to reach $237.9 billion by 2031, rising at a market growth of 41.3% CAGR during the forecast period.

AI-powered cybersecurity solutions can analyze vast amounts of data to detect and prevent cyber threats like malware, ransomware, and phishing attacks. By analyzing patterns and anomalies in network traffic, AI algorithms can identify suspicious behavior and take proactive measures to mitigate cybersecurity risks. Consequently, the cybersecurity segment would acquire nearly, 7% of the total market share by 2031. AI algorithms can analyze user behavior and network activity to detect anomalous behavior that may indicate a cybersecurity threat.

The major strategies followed by the market participants are Product Launches as the key developmental strategy to keep pace with the changing demands of end users. For instance, in March, 2024, NVIDIA Corporation released NVIDIA NIM, a new suite of healthcare microservices and workflows containing industry-standard APIs for building and deploying cloud-native applications. Moreover, in November, 2023, Koninklijke Philips N.V. released a suite of AI-powered healthcare solutions. The new suite consists of EPIQ Elite 10.0 and Philips Affiniti ultrasound systems, two new AI-powered ultrasound systems that come with a single-user interface integrated with shared transducers and an automation facility for a better user experience. Additionally, Philips launched Philips HealthSuite Imaging, a cloud-based version of Philips Vue PACS that allows clinicians to enhance operational efficiency.

KBV Cardinal Matrix - Artificial Intelligence (AI) in Healthcare Market Competition Analysis

Based on the Analysis presented in the KBV Cardinal matrix; Microsoft Corporation and Google LLC are the forerunners in the Market. In December, 2023, Google LLC announced the launch of MedLM, a suite of foundation models for facilitating healthcare organizations in streamlining their operations. The MedLM models are powered by AI and are based on previous Med-PaLM to provide flexibility in operations. Companies such as NVIDIA Corporation, Amazon Web Services, Inc. and Oracle Corporation are some of the key innovators in Market.

Source: KBV Reseaarch and Secondary Research Analysis

COVID 19 Impact Analysis

AI-powered diagnostic tools played a crucial role in rapidly and accurately detecting COVID-19 cases. AI algorithms analyze medical imaging data such as chest X-rays and CT scans to identify patterns indicative of COVID-19 infection, assisting radiologists and clinicians in triaging patients, prioritizing resources, and making timely treatment decisions. The COVID-19 pandemic fueled the adoption of remote monitoring and telemedicine solutions, driven by social distancing measures and the need to minimize in-person interactions. AI-enabled remote monitoring devices and telemedicine platforms support virtual consultations, remote patient monitoring, and digital health interventions, ensuring continuity of care while reducing the risk of virus transmission. Thus, the COVID-19 pandemic had a positive effect on the market.

Market Growth Factors

Surgical robots with AI capabilities enhance precision, dexterity, and control during minimally invasive procedures, such as robotic-assisted surgery and image-guided interventions. Robotics and AI-powered assistive technologies support rehabilitation and mobility for patients with neurological, musculoskeletal, and mobility impairments. Thus, because of the healthcare robotics and automation, the market is anticipated to increase significantly.

AI-based tools enable remote monitoring of elderly individuals' health status and daily activities. Wearable devices, smart home sensors, and AI-powered monitoring systems can track vital signs, detect falls, and monitor medication adherence, providing real-time alerts and assistance to ensure the safety and well-being of elderly individuals living alone or with limited caregiver support. Fall detection and emergency response tools powered by AI help reduce the likelihood of falls and incidents among the elderly, particularly those who struggle with mobility or balance. Therefore, the market is expanding significantly due to the growing potential of AI-based tools for elderly care.

Market Restraining Factors

Regulatory frameworks for AI in healthcare are still evolving, with regulators grappling with novel challenges posed by AI-driven technologies, such as algorithmic transparency, accountability, and liability. Costs associated with regulatory compliance, such as conducting clinical trials, obtaining regulatory approvals, and maintaining documentation and quality management systems, can be prohibitive, particularly for startups, small businesses, and research initiatives with limited resources or funding. Thus, regulatory, and legal challenges can slow down the growth of the market.

Offering Outlook

On the basis of offering, the market is segmented into hardware, software, and services. The hardware segment acquired 30% revenue share in the market in 2023. Edge computing devices, such as IoT devices, wearables, and medical devices, provide the processing power needed to run AI algorithms at the point of care. By processing data locally on edge devices, AI-powered healthcare applications can provide real-time insights and decision support to healthcare providers without relying on a centralized cloud infrastructure, improving speed, security, and privacy.

Technology Outlook

By technology, the market is classified into machine learning, natural language processing, context-aware computing, and computer vision. The context-aware computing segment acquired 29% revenue share in the market in 2023. Context-aware AI systems analyze various data sources, including patient health records, real-time patient monitoring data, medical imaging, and historical treatment outcomes. These systems consider the specific context of each patient, including their medical history, current condition, and environmental factors, to provide tailored and timely interventions.

End-use Outlook

By end-use, the market is divided into healthcare providers, healthcare payers, healthcare companies, patients, and others. The healthcare payers segment covered a 23% revenue share in the market in 2023. Healthcare payers are using AI to optimize their provider networks and improve the quality and efficiency of healthcare services. AI algorithms can analyze provider performance data, patient outcomes, and other relevant metrics to identify high-performing providers, streamline network management, and improve the quality of care for members.

Application Outlook

Based on application, the market is categorized into patient data & risk analysis, precision medicine, drug discovery & development, lifestyle management & remote patient monitoring, virtual assistants, wearables, in-patient care & hospital management, research, mental health, healthcare assistance robots, connected machines, and cybersecurity. The research segment garnered 14% revenue share in the market in 2023. AI enables large-scale genomic and clinical data analysis to identify patient subgroups and tailor treatments to individual patients. Machine learning algorithms identify biomarkers, predict treatment responses, and optimize treatment plans, ultimately improving treatment efficacy and patient outcomes.

Regional Outlook

Region-wise, the market is analysed across North America, Europe, Asia Pacific, and LAMEA. In 2023, the North America region led the market by generating 40% revenue share. North America has a thriving ecosystem of AI startups and innovation hubs focused on healthcare. Hospitals, clinics, and healthcare systems across North America are increasingly adopting AI technologies to improve patient care, enhance clinical workflows, and optimize healthcare operations.

Market Competition and Attributes

The competition in the market is intense and dynamic, driven by technological advancements, regulatory changes, and growing demand for innovative healthcare solutions. Key players such as Google LLC and Microsoft Corporation are investing heavily in AI-driven healthcare platforms, clinical decision support systems, and predictive analytics tools. Startups and niche players are also making significant strides with specialized AI applications in medical imaging, drug discovery, and patient care management. This competitive landscape fosters innovation and pushes the boundaries of AI's potential in transforming healthcare delivery and outcomes.

Recent Strategies Deployed in the Market

List of Key Companies Profiled

Global Artificial Intelligence (AI) in Healthcare Market Report Segmentation

By Offering

By Technology

By End-use

By Application

By Geography

Table of Contents

Chapter 1.Market Scope & Methodology

Chapter 2.Market at a Glance

Chapter 3.Market Overview

Chapter 4.Competition Analysis - Global

Chapter 5.Global Artificial Intelligence (AI) in Healthcare Market by Offering

Chapter 6.Global Artificial Intelligence (AI) in Healthcare Market by Technology

Chapter 7.Global Artificial Intelligence (AI) in Healthcare Market by End-use

Chapter 8.Global Artificial Intelligence (AI) in Healthcare Market by Application

Chapter 9.Global Artificial Intelligence (AI) in Healthcare Market by Region

Chapter 10.Company Profiles

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