Symptom Checker Chatbots Global Market Report 2025
상품코드:1717324
리서치사:The Business Research Company
발행일:On Demand Report
페이지 정보:영문 175 Pages
라이선스 & 가격 (부가세 별도)
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한글목차
증상 체커 챗봇 시장 규모는 향후 수년간 비약적인 성장을 보일 것으로 예상되며, 2029년에는 CAGR 25.1%로 35억 5,000만 달러에 달할 것으로 예측됩니다. 예측 기간 중의 성장은 명확하고 이해하기 쉬운 언어, 임상 판단 지원 알고리즘, 의료 시스템과의 통합, 다국어 기능, 윤리적 지침 준수에 대한 수요에 기인합니다. 예측 기간의 주요 동향으로는 인공지능 및 머신러닝과의 통합 증가, 맞춤형 건강 추천 및 개입, 자연 언어 처리 개발, 웨어러블 기기와의 통합, 프라이버시 및 보안에 대한 중요성 등이 있습니다.
만성질환의 유병률 증가는 향후 수년간 증상 체커 챗봇 시장의 성장을 가속할 것으로 예측됩니다. 만성질환은 지속적인 치료가 필요하거나 일상적인 활동을 제한하는 장기적인 건강 상태입니다. 만성질환 증가에는 고령화, 생활습관 선택, 환경적 영향, 사회적 결정 요인 등 여러 가지 요인이 있습니다. 증상 체커 챗봇은 만성질환을 지속적으로 모니터링하고, 개인별 맞춤화된 조언을 제공함으로써 잦은 병원 방문의 필요성을 줄여줍니다. 이 전략은 의료 비용을 낮출 뿐만 아니라 의료진이 더 복잡한 사례에 집중할 수 있게 해줍니다. 예를 들어 2024년 6월 영국의 공공 의료 시스템인 National Health Service에 따르면 2023년 GP에 등록된 비당뇨병성 고혈당(당뇨병 예비군) 진단을 받은 사람은 361만 5,330명이었으나, 2022년에는 306만 5,825명으로 18% 가까이 증가했습니다. 이처럼 만성질환 유병률 증가는 증상 체커 챗봇 시장의 확대에 박차를 가하고 있습니다.
증상 검사기 및 챗봇 시장의 기업은 진단 정확도와 헬스케어 솔루션을 개선하기 위해 제너레이티브 인공지능(AI)과 같은 첨단 기술에 투자하고 있습니다. 생성형 AI 기반 의료용 챗봇은 정교한 알고리즘을 통해 인간의 대화를 모방하여 개인화된 건강 정보를 제공합니다. 자연 언어 처리와 머신러닝을 채택하여 이러한 챗봇은 상세한 증상 분석 및 지침을 제공하여 정확도와 사용자 상호 작용을 모두 향상시킵니다. 예를 들어 2023년 6월 캐나다에 본사를 둔 디지털 헬스 기업 DiagnaMed Holdings Corp.는 생성형 인공지능(AI) 기반 개인 의료 챗봇인 Dr.OpenAI의 ChatGPT를 활용한 챗봇을 출시했습니다. 정보를 제공하고 인간과 같은 자연스러운 대화를 지원합니다. 바이탈, 검사 결과, 신체적 특징을 포함한 광범위한 의료 데이터를 분석할 수 있으며, CERVAI 뇌 건강 플랫폼과 통합하여 종합적인 뇌 건강 솔루션을 제공합니다.
목차
제1장 개요
제2장 시장의 특징
제3장 시장 동향과 전략
제4장 시장 - 거시경제 시나리오 금리, 인플레이션, 지정학, 신형 코로나바이러스의 영향과 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오
제5장 세계의 성장 분석과 전략 분석 프레임워크
세계의 증상 체커 챗봇 PESTEL 분석(정치, 사회, 기술, 환경, 법적 요인, 촉진요인과 억제요인)
최종 용도 산업의 분석
세계의 증상 체커 챗봇 시장 : 성장률 분석
세계의 증상 체커 챗봇 시장 실적 : 규모와 성장, 2019-2024
세계의 증상 체커 챗봇 시장 예측 : 규모와 성장, 2024-2029, 2034F
세계 증상 체커 챗봇 TAM(Total Addressable Market)
제6장 시장 세분화
세계의 증상 체커 챗봇 시장 : 유형별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
룰 기반
하이브리드 챗봇 시스템
인공지능 기반 시스템
세계의 증상 체커 챗봇 시장 : 컴포넌트별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
소프트웨어
서비스
세계의 증상 체커 챗봇 시장 : 배포별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
웹 기반
앱 기반
세계의 증상 체커 챗봇 시장 : 최종사용자별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
소비자 또는 환자
헬스케어 프로바이더
보험 회사 또는 헬스케어 지불자
세계의 증상 체커 챗봇 시장, 룰 기반의 서브 세분화, 유형별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
키워드 구동형 룰 기반 챗봇
결정 트리 기반 룰 챗봇
FAQ 기반 룰 챗봇
세계의 증상 체커 챗봇 시장, 하이브리드 챗봇 시스템의 서브 세분화, 유형별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
룰 기반과 AI 기술의 조합
컨텍스트 하이브리드 챗봇
인간 지원형 하이브리드 챗봇
세계의 증상 체커 챗봇 시장, 인공지능 기반 시스템의 서브 세분화, 유형별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
자연언어처리(NLP) 기반 챗봇
기계학습 기반 챗봇
딥러닝 기반 증상 체커 챗봇
제7장 지역별·국가별 분석
세계의 증상 체커 챗봇 시장 : 지역별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
세계의 증상 체커 챗봇 시장 : 국가별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
제8장 아시아태평양 시장
제9장 중국 시장
제10장 인도 시장
제11장 일본 시장
제12장 호주 시장
제13장 인도네시아 시장
제14장 한국 시장
제15장 서유럽 시장
제16장 영국 시장
제17장 독일 시장
제18장 프랑스 시장
제19장 이탈리아 시장
제20장 스페인 시장
제21장 동유럽 시장
제22장 러시아 시장
제23장 북미 시장
제24장 미국 시장
제25장 캐나다 시장
제26장 남미 시장
제27장 브라질 시장
제28장 중동 시장
제29장 아프리카 시장
제30장 경쟁 구도와 기업 개요
증상 체커 챗봇 시장 : 경쟁 구도
증상 체커 챗봇 시장 : 기업 개요
Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
Babylon Health Limited Overview, Products and Services, Strategy and Financial Analysis
WebMD LLC Overview, Products and Services, Strategy and Financial Analysis
LeadSquared Inc. Overview, Products and Services, Strategy and Financial Analysis
Ada Health GmbH Overview, Products and Services, Strategy and Financial Analysis
제31장 기타 대기업과 혁신적 기업
K Health Inc.
Infermedica Inc.
Buoy Health Inc.
HealthTap Inc.
Healthily Pty Ltd.
Kevit Technologies
Mediktor Corp.
Ubie Inc.
Clearstep Inc.
Makerobos Innovation Labs
MedWhat.com
Isabel Healthcare Inc.
Fabric Labs Inc.
Symptomate
Isahit SAS
제32장 세계의 시장 경쟁 벤치마킹과 대시보드
제33장 주요 합병과 인수
제34장 최근 시장 동향
제35장 시장의 잠재력이 높은 국가, 부문, 전략
증상 체커 챗봇 시장 2029 : 새로운 기회를 제공하는 국가
증상 체커 챗봇 시장 2029 : 새로운 기회를 제공하는 부문
증상 체커 챗봇 시장 2029 : 성장 전략
시장 동향에 기반한 전략
경쟁의 전략
제36장 부록
KSA
영문 목차
영문목차
A symptom checker chatbot is an AI-driven tool designed to help users identify potential health conditions by analyzing their symptoms. Users interact with the chatbot by describing their symptoms, and the tool suggests possible diagnoses or health conditions using a combination of medical knowledge, pattern recognition, and natural language processing (NLP).
The main types of symptom checker chatbots include rule-based systems, hybrid chatbot systems, and artificial intelligence-based systems. Rule-based systems use predefined logic and decision trees to correlate symptoms with possible conditions based on specific criteria. These chatbots are available in various forms, including web-based and app-based deployments. They are utilized by a range of end-users, including consumers or patients, healthcare providers, and insurance companies or healthcare payers.
The symptom checker chatbots market research report is one of a series of new reports from The Business Research Company that provides symptom checker chatbots market statistics, including symptom checker chatbots industry global market size, regional shares, competitors with a symptom checker chatbots market share, detailed symptom checker chatbots market segments, market trends, and opportunities, and any further data you may need to thrive in the symptom checker chatbots industry. This symptom checker chatbots market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
The symptom checker chatbots market size has grown exponentially in recent years. It will grow from $1.16 billion in 2024 to $1.45 billion in 2025 at a compound annual growth rate (CAGR) of 25.4%. The growth in the historic period can be attributed to the growing availability of medical data, demand for convenient healthcare, the rise of telemedicine, regulatory changes, and increasing investment in health tech startups.
The symptom checker chatbots market size is expected to see exponential growth in the next few years. It will grow to $3.55 billion in 2029 at a compound annual growth rate (CAGR) of 25.1%. The growth in the forecast period can be attributed to the demand for clear and accessible language, clinical decision support algorithms, integration with healthcare systems, multilingual capabilities, and adherence to ethical guidelines. Major trends in the forecast period include increasing integration with artificial intelligence and machine learning, tailored health recommendations and interventions, development in natural language processing, integration with wearable devices, and greater emphasis on privacy and security.
The rising prevalence of chronic illnesses is anticipated to drive the growth of the symptom checker chatbot market in the coming years. Chronic illnesses are long-lasting health conditions that require ongoing medical care or limit daily activities. Several factors contribute to the increase in chronic illnesses, including an aging population, lifestyle choices, environmental influences, and social determinants. Symptom checker chatbots provide continuous monitoring of chronic conditions, offering personalized advice and reducing the need for frequent doctor visits. This strategy not only lowers healthcare costs but also allows healthcare professionals to focus on more complex cases. For instance, in June 2024, the National Health Service, a publicly funded healthcare system in England, reported that in 2023, there were 3,615,330 individuals registered with a GP diagnosed with non-diabetic hyperglycemia (pre-diabetes), compared to 3,065,825 in 2022-an increase of nearly 18%. Thus, the growing incidence of chronic illnesses is fueling the expansion of the symptom checker chatbot market.
Companies in the symptom checker chatbot market are investing in advanced technologies such as generative artificial intelligence (AI) to improve diagnostic accuracy and health management solutions. Generative AI-based medical chatbots utilize sophisticated algorithms to mimic human conversations and deliver personalized health information. By employing natural language processing and machine learning, these chatbots provide detailed symptom analysis and guidance, enhancing both precision and user interaction. For example, in June 2023, DiagnaMed Holdings Corp., a Canada-based digital health company, launched Dr. GenAI., a generative AI-powered personal medical chatbot. Leveraging OpenAI's ChatGPT, this chatbot offers rapid, tailored medical information and supports natural, human-like interactions. It can analyze extensive medical data, including vitals, lab results, and physical traits, and integrates with the CERVAI brain health platform to provide comprehensive brain health solutions.
In June 2024, Mediktor, a Spain-based provider of AI-driven healthcare solutions, acquired Sensely Inc. for an undisclosed amount. This acquisition enables Mediktor to combine its advanced AI medical assistant with Sensely's innovative healthcare solutions, improving efficiency and reducing costs for healthcare providers. Sensely Inc., a US-based company, specializes in conversational AI-based symptom checker solutions.
Major companies operating in the symptom checker chatbots market are Microsoft Corporation, Babylon Health Limited, WebMD LLC, LeadSquared Inc., Ada Health GmbH, K Health Inc., Infermedica Inc., Buoy Health Inc., HealthTap Inc., Healthily Pty Ltd., Kevit Technologies, Mediktor Corp., Ubie Inc., Clearstep Inc., Makerobos Innovation Labs, MedWhat.com, Isabel Healthcare Inc., Fabric Labs Inc., Symptomate, Isahit SAS
North America was the largest region in the symptom checker chatbots market in 2024. The regions covered in the symptom checker chatbots market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The countries covered in the symptom checker chatbots market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The symptom checker chatbots market includes revenues earned by entities by providing services such as healthcare assistance, symptom analysis and diagnosis, health data collection, and integration with healthcare systems. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
Symptom Checker Chatbots Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.
This report focuses on symptom checker chatbots market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Where is the largest and fastest growing market for symptom checker chatbots ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The symptom checker chatbots market global report from the Business Research Company answers all these questions and many more.
The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.
The market characteristics section of the report defines and explains the market.
The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
The forecasts are made after considering the major factors currently impacting the market. These include:
The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.
Market segmentations break down the market into sub markets.
The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.
Scope
Markets Covered:1) By Type: Rule-Based; Hybrid Chatbot Systems; Artificial Intelligence Based Systems
2) By Component: Software; Service
3) By Deployment: Web-Based; App-Based
4) By End-User: Consumers Or Patients; Healthcare Providers; Insurance Companies Or Healthcare Payers
2) By Hybrid Chatbot Systems: Combination of Rule-Based and AI Techniques; Contextual Hybrid Chatbots; Human-Assisted Hybrid Chatbots
3) By Artificial Intelligence Based Systems: Natural Language Processing (NLP) Based Chatbots; Machine Learning-Based Chatbots; Deep Learning-Based Symptom Checker Chatbots
Companies Mentioned: Microsoft Corporation; Babylon Health Limited; WebMD LLC; LeadSquared Inc.; Ada Health GmbH
3. Symptom Checker Chatbots Market Trends And Strategies
4. Symptom Checker Chatbots Market - Macro Economic Scenario Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics And Covid And Recovery On The Market
5. Global Symptom Checker Chatbots Growth Analysis And Strategic Analysis Framework
5.1. Global Symptom Checker Chatbots PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
5.2. Analysis Of End Use Industries
5.3. Global Symptom Checker Chatbots Market Growth Rate Analysis
5.4. Global Symptom Checker Chatbots Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
5.5. Global Symptom Checker Chatbots Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
5.6. Global Symptom Checker Chatbots Total Addressable Market (TAM)
6. Symptom Checker Chatbots Market Segmentation
6.1. Global Symptom Checker Chatbots Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Rule-Based
Hybrid Chatbot Systems
Artificial Intelligence Based Systems
6.2. Global Symptom Checker Chatbots Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Software
Service
6.3. Global Symptom Checker Chatbots Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Web-Based
App-Based
6.4. Global Symptom Checker Chatbots Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Consumers Or Patients
Healthcare Providers
Insurance Companies Or Healthcare Payers
6.5. Global Symptom Checker Chatbots Market, Sub-Segmentation Of Rule-Based, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Keyword-Driven Rule-Based Chatbots
Decision Tree-Based Rule Chatbots
FAQ-Based Rule Chatbots
6.6. Global Symptom Checker Chatbots Market, Sub-Segmentation Of Hybrid Chatbot Systems, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Combination of Rule-Based and AI Techniques
Contextual Hybrid Chatbots
Human-Assisted Hybrid Chatbots
6.7. Global Symptom Checker Chatbots Market, Sub-Segmentation Of Artificial Intelligence Based Systems, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Natural Language Processing (NLP) Based Chatbots
Machine Learning-Based Chatbots
Deep Learning-Based Symptom Checker Chatbots
7. Symptom Checker Chatbots Market Regional And Country Analysis
7.1. Global Symptom Checker Chatbots Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
7.2. Global Symptom Checker Chatbots Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
