The global healthcare chatbots market size was exhibited at USD 196.86 billion in 2022 and is projected to hit around USD 945.46 billion by 2032, growing at a CAGR of 16.99% during the forecast period 2023 to 2032.
Key Points:
Growing patient waiting time and a lack of effective patient engagement, rising use of healthcare chatbots, healthcare chatbot's increasing demand as a result of increasing demand for virtual health assistance, and growing numbers of collaborative efforts between healthcare providers are all contributing to the growing demand for virtual health assistance, which is a crucial factor driving the market growth. Additionally, throughout the forecast years, the market for healthcare chatbots would see new opportunities due to the growth of chatbots focused on social networking platforms and the development of cloud-based models.
Intelligent device use and expanding internet availability are significant industry drivers. A lack of experience in chatbot development, in addition to growing ignorance and misunderstandings, will further hamper the expansion of the Healthcare Chatbot Market during the forecast period. Rising worries about data privacy are the primary reasons obstructing the market growth. As a result of recent advancements in digital technology, numerous healthcare organizations have started utilizing various digital marketing strategies. The market for healthcare chatbots is likely to increase since phone and messaging services, a component of chatbots, were incorporated into these plans.
Medical chatbots are helpful for the economy, but there are obstacles to their global market expansion. The user's right to privacy is the most crucial factor, and some patients might be reluctant to divulge personal information to chatbots. The lack of trained healthcare IT employees is another issue that has led to cyberattacks. These elements are inhibiting the growth of healthcare chatbots in the global market. Business growth is, however, constrained by problems like a lack of experience, limited interaction options, and data privacy worries.
Report Scope of the Healthcare Chatbots Market
Report Coverage | Details |
Market Size in 2023 | USD 230.31 billion |
Market Size by 2032 | USD 945.46 billion |
Growth Rate from 2023 to 2032 | CAGR of 16.99% |
Base Year | 2022 |
Forecast Period | 2023 to 2032 |
Segments Covered | By Component, By Application, By Deployment, By End-User region |
Key companies profiled | Anboto, Sensely, Inc., HealthTap, Inc., Infermedica, Buoy Health, Inc., Ada Health GmbH, Babylon, Baidu, Inc., Woebot, GYANT.COM, Inc., PACT Care BV, Your.MD Ltd, Creative Virtual, Next IT Corp., CX Company, Inbenta Global, Synthetix Ltd. |
Regions Covered | North America, Europe, Asia-Pacific, Latin America and Middle East & Africa |
Market Dynamics
Drivers
The rise in the number of smartphone users worldwide and increasing internet penetration among the masses are the major factors driving the growth of the healthcare chatbots market. There is a rising need for chatbots to lessen the burden on healthcare infrastructure. These chatbots can perform wide functions from grievance redressal to medical guidance, and therefore have huge market potential.
With increasing technological advancements in the healthcare sector, healthcare chatbots are becoming more user-friendly and informative. Moreover, with increasing literacy rate and technological adaptation people's trust towards virtual assistants is also increasing. Therefore, it will bring a positive impact on the market growth of the healthcare chatbots.
Restraints
Lack of awareness and misconceptions about chatbots is the major growth restraining factor for the healthcare chatbots market. Moreover, the requirement of technological knowledge for operation deprives a large population who are not technology friendly of its benefits. Furthermore, a large segment of the global population is still beyond the reach of smartphones and affordable Internet services which is a major hindrance to the market.
Data privacy and security are still a matter of huge concern for the global internet users which will affect the market of healthcare chatbots. The other concerns such as less user-friendliness and limited use are too growth restricting factors that will improve with technological advancements.
Technology Analysis
Healthcare chatbots are interactive online query redressal systems for patients and health enthusiasts. Chatbots are interactive software applications that interact with a user on a text messaging or text to speech platform using artificial intelligence or language processors. These chatbots are nowadays utilized in different sectors for functions such as customer service, information gathering, and request routing, etc.
The type of chatbots can range from basic limited bots to complex bots that use AI to respond to users' queries. The basic bots work on a predefined input-output system until the query is addressed. Whereas complex bots utilize artificial intelligence tools to understand a user's keywords and respond to them accordingly.
Healthcare chatbots Market Segmentation
By Component | By Application | By Deployment | By End-User |
Service Software Others |
Symptoms Check Appointment Scheduling and Monitoring Medical and Drug Information Assistance Others |
On-premise Model Cloud-based Model
|
Healthcare payers Healthcare providers Patients Other
|
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Channel Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. COVID 19 Impact on Healthcare Chatbots Market
5.1. COVID-19 Landscape: Healthcare Chatbots Industry Impact
5.2. COVID 19 - Impact Assessment for the Industry
5.3. COVID 19 Impact: Global Major Government Policy
5.4. Market Trends and Opportunities in the COVID-19 Landscape
Chapter 6. Market Dynamics Analysis and Trends
6.1. Market Dynamics
6.1.1. Market Drivers
6.1.2. Market Restraints
6.1.3. Market Opportunities
6.2. Porter’s Five Forces Analysis
6.2.1. Bargaining power of suppliers
6.2.2. Bargaining power of buyers
6.2.3. Threat of substitute
6.2.4. Threat of new entrants
6.2.5. Degree of competition
Chapter 7. Competitive Landscape
7.1.1. Company Market Share/Positioning Analysis
7.1.2. Key Strategies Adopted by Players
7.1.3. Vendor Landscape
7.1.3.1. List of Suppliers
7.1.3.2. List of Buyers
Chapter 8. Global Healthcare Chatbots Market, By Component
8.1. Healthcare Chatbots Market, by Component, 2023-2032
8.1.1. Service
8.1.1.1. Market Revenue and Forecast (2023-2032)
8.1.2. Software
8.1.2.1. Market Revenue and Forecast (2023-2032)
8.1.3. Others
8.1.3.1. Market Revenue and Forecast (2023-2032)
Chapter 9. Global Healthcare Chatbots Market, By Application
9.1. Healthcare Chatbots Market, by Application, 2023-2032
9.1.1. Symptoms Check
9.1.1.1. Market Revenue and Forecast (2023-2032)
9.1.2. Appointment Scheduling and Monitoring
9.1.2.1. Market Revenue and Forecast (2023-2032)
9.1.3. Medical and Drug Information Assistance
9.1.3.1. Market Revenue and Forecast (2023-2032)
9.1.4. Others
9.1.4.1. Market Revenue and Forecast (2023-2032)
Chapter 10. Global Healthcare Chatbots Market, By Deployment
10.1. Healthcare Chatbots Market, by Deployment, 2023-2032
10.1.1. On-premise Model
10.1.1.1. Market Revenue and Forecast (2023-2032)
10.1.2. Cloud-based Model
10.1.2.1. Market Revenue and Forecast (2023-2032)
Chapter 11. Global Healthcare Chatbots Market, By End-User
11.1. Healthcare Chatbots Market, by End-User, 2023-2032
11.1.1. Healthcare payers
11.1.1.1. Market Revenue and Forecast (2023-2032)
11.1.2. Healthcare providers
11.1.2.1. Market Revenue and Forecast (2023-2032)
11.1.3. Patients
11.1.3.1. Market Revenue and Forecast (2023-2032)
11.1.4. Other
11.1.4.1. Market Revenue and Forecast (2023-2032)
Chapter 12. Global Healthcare Chatbots Market, Regional Estimates and Trend Forecast
12.1. North America
12.1.1. Market Revenue and Forecast, by Component (2023-2032)
12.1.2. Market Revenue and Forecast, by Application (2023-2032)
12.1.3. Market Revenue and Forecast, by Deployment (2023-2032)
12.1.4. Market Revenue and Forecast, by End-User (2023-2032)
12.1.5. U.S.
12.1.5.1. Market Revenue and Forecast, by Component (2023-2032)
12.1.5.2. Market Revenue and Forecast, by Application (2023-2032)
12.1.5.3. Market Revenue and Forecast, by Deployment (2023-2032)
12.1.5.4. Market Revenue and Forecast, by End-User (2023-2032)
12.1.6. Rest of North America
12.1.6.1. Market Revenue and Forecast, by Component (2023-2032)
12.1.6.2. Market Revenue and Forecast, by Application (2023-2032)
12.1.6.3. Market Revenue and Forecast, by Deployment (2023-2032)
12.1.6.4. Market Revenue and Forecast, by End-User (2023-2032)
12.2. Europe
12.2.1. Market Revenue and Forecast, by Component (2023-2032)
12.2.2. Market Revenue and Forecast, by Application (2023-2032)
12.2.3. Market Revenue and Forecast, by Deployment (2023-2032)
12.2.4. Market Revenue and Forecast, by End-User (2023-2032)
12.2.5. UK
12.2.5.1. Market Revenue and Forecast, by Component (2023-2032)
12.2.5.2. Market Revenue and Forecast, by Application (2023-2032)
12.2.5.3. Market Revenue and Forecast, by Deployment (2023-2032)
12.2.5.4. Market Revenue and Forecast, by End-User (2023-2032)
12.2.6. Germany
12.2.6.1. Market Revenue and Forecast, by Component (2023-2032)
12.2.6.2. Market Revenue and Forecast, by Application (2023-2032)
12.2.6.3. Market Revenue and Forecast, by Deployment (2023-2032)
12.2.6.4. Market Revenue and Forecast, by End-User (2023-2032)
12.2.7. France
12.2.7.1. Market Revenue and Forecast, by Component (2023-2032)
12.2.7.2. Market Revenue and Forecast, by Application (2023-2032)
12.2.7.3. Market Revenue and Forecast, by Deployment (2023-2032)
12.2.7.4. Market Revenue and Forecast, by End-User (2023-2032)
12.2.8. Rest of Europe
12.2.8.1. Market Revenue and Forecast, by Component (2023-2032)
12.2.8.2. Market Revenue and Forecast, by Application (2023-2032)
12.2.8.3. Market Revenue and Forecast, by Deployment (2023-2032)
12.2.8.4. Market Revenue and Forecast, by End-User (2023-2032)
12.3. APAC
12.3.1. Market Revenue and Forecast, by Component (2023-2032)
12.3.2. Market Revenue and Forecast, by Application (2023-2032)
12.3.3. Market Revenue and Forecast, by Deployment (2023-2032)
12.3.4. Market Revenue and Forecast, by End-User (2023-2032)
12.3.5. India
12.3.5.1. Market Revenue and Forecast, by Component (2023-2032)
12.3.5.2. Market Revenue and Forecast, by Application (2023-2032)
12.3.5.3. Market Revenue and Forecast, by Deployment (2023-2032)
12.3.5.4. Market Revenue and Forecast, by End-User (2023-2032)
12.3.6. China
12.3.6.1. Market Revenue and Forecast, by Component (2023-2032)
12.3.6.2. Market Revenue and Forecast, by Application (2023-2032)
12.3.6.3. Market Revenue and Forecast, by Deployment (2023-2032)
12.3.6.4. Market Revenue and Forecast, by End-User (2023-2032)
12.3.7. Japan
12.3.7.1. Market Revenue and Forecast, by Component (2023-2032)
12.3.7.2. Market Revenue and Forecast, by Application (2023-2032)
12.3.7.3. Market Revenue and Forecast, by Deployment (2023-2032)
12.3.7.4. Market Revenue and Forecast, by End-User (2023-2032)
12.3.8. Rest of APAC
12.3.8.1. Market Revenue and Forecast, by Component (2023-2032)
12.3.8.2. Market Revenue and Forecast, by Application (2023-2032)
12.3.8.3. Market Revenue and Forecast, by Deployment (2023-2032)
12.3.8.4. Market Revenue and Forecast, by End-User (2023-2032)
12.4. MEA
12.4.1. Market Revenue and Forecast, by Component (2023-2032)
12.4.2. Market Revenue and Forecast, by Application (2023-2032)
12.4.3. Market Revenue and Forecast, by Deployment (2023-2032)
12.4.4. Market Revenue and Forecast, by End-User (2023-2032)
12.4.5. GCC
12.4.5.1. Market Revenue and Forecast, by Component (2023-2032)
12.4.5.2. Market Revenue and Forecast, by Application (2023-2032)
12.4.5.3. Market Revenue and Forecast, by Deployment (2023-2032)
12.4.5.4. Market Revenue and Forecast, by End-User (2023-2032)
12.4.6. North Africa
12.4.6.1. Market Revenue and Forecast, by Component (2023-2032)
12.4.6.2. Market Revenue and Forecast, by Application (2023-2032)
12.4.6.3. Market Revenue and Forecast, by Deployment (2023-2032)
12.4.6.4. Market Revenue and Forecast, by End-User (2023-2032)
12.4.7. South Africa
12.4.7.1. Market Revenue and Forecast, by Component (2023-2032)
12.4.7.2. Market Revenue and Forecast, by Application (2023-2032)
12.4.7.3. Market Revenue and Forecast, by Deployment (2023-2032)
12.4.7.4. Market Revenue and Forecast, by End-User (2023-2032)
12.4.8. Rest of MEA
12.4.8.1. Market Revenue and Forecast, by Component (2023-2032)
12.4.8.2. Market Revenue and Forecast, by Application (2023-2032)
12.4.8.3. Market Revenue and Forecast, by Deployment (2023-2032)
12.4.8.4. Market Revenue and Forecast, by End-User (2023-2032)
12.5. Latin America
12.5.1. Market Revenue and Forecast, by Component (2023-2032)
12.5.2. Market Revenue and Forecast, by Application (2023-2032)
12.5.3. Market Revenue and Forecast, by Deployment (2023-2032)
12.5.4. Market Revenue and Forecast, by End-User (2023-2032)
12.5.5. Brazil
12.5.5.1. Market Revenue and Forecast, by Component (2023-2032)
12.5.5.2. Market Revenue and Forecast, by Application (2023-2032)
12.5.5.3. Market Revenue and Forecast, by Deployment (2023-2032)
12.5.5.4. Market Revenue and Forecast, by End-User (2023-2032)
12.5.6. Rest of LATAM
12.5.6.1. Market Revenue and Forecast, by Component (2023-2032)
12.5.6.2. Market Revenue and Forecast, by Application (2023-2032)
12.5.6.3. Market Revenue and Forecast, by Deployment (2023-2032)
12.5.6.4. Market Revenue and Forecast, by End-User (2023-2032)
Chapter 13. Company Profiles
13.1. Anboto, Sensely, Inc.
13.1.1. Company Overview
13.1.2. Product Offerings
13.1.3. Financial Performance
13.1.4. Recent Initiatives
13.2. HealthTap, Inc.
13.2.1. Company Overview
13.2.2. Product Offerings
13.2.3. Financial Performance
13.2.4. Recent Initiatives
13.3. Infermedica
13.3.1. Company Overview
13.3.2. Product Offerings
13.3.3. Financial Performance
13.3.4. Recent Initiatives
13.4. Buoy Health, Inc.
13.4.1. Company Overview
13.4.2. Product Offerings
13.4.3. Financial Performance
13.4.4. Recent Initiatives
13.5. Ada Health GmbH
13.5.1. Company Overview
13.5.2. Product Offerings
13.5.3. Financial Performance
13.5.4. Recent Initiatives
13.6. Babylon
13.6.1. Company Overview
13.6.2. Product Offerings
13.6.3. Financial Performance
13.6.4. Recent Initiatives
13.7. Baidu, Inc.
13.7.1. Company Overview
13.7.2. Product Offerings
13.7.3. Financial Performance
13.7.4. Recent Initiatives
13.8. Woebot
13.8.1. Company Overview
13.8.2. Product Offerings
13.8.3. Financial Performance
13.8.4. Recent Initiatives
13.9. GYANT.COM, Inc.
13.9.1. Company Overview
13.9.2. Product Offerings
13.9.3. Financial Performance
13.9.4. Recent Initiatives
13.10. PACT Care BV
13.10.1. Company Overview
13.10.2. Product Offerings
13.10.3. Financial Performance
13.10.4. Recent Initiatives
Chapter 14. Research Methodology
14.1. Primary Research
14.2. Secondary Research
14.3. Assumptions
Chapter 15. Appendix
15.1. About Us
15.2. Glossary of Terms