Healthcare Chatbots Market (By Component: Service, Software, Others; By Application: Symptoms Check, Appointment Scheduling and Monitoring, Medical and Drug Information Assistance, Others; By Deployment: On-premise Model, Cloud-based Model; By End-User: Healthcare payers, Healthcare providers, Patients, Other) - Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2023-2032

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.

Healthcare Chatbots Market Size

Key Points:

  • By geography, the North American region generated more than 60% of the revenue share in 2022 
  • By deployment, the cloud-based model segment held the largest share of around 75% in 2022 and was the fastest-growing category from 2023 to 2032.
  • By component, the software segment dominates the demand for healthcare chatbots globally. 
  • By application, the symptoms check segment held the highest market share.
  • By end-user, the patient segment is the primary user and held the major market share.

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

 

 

Frequently Asked Questions

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

The global healthcare chatbots market is growing at a compound annual growth rate (CAGR) of 16.99% from 2023 to 2032.

The major players operating in the healthcare chatbots market are 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. and Others.

The driving factors of the healthcare chatbots market are the rising demand for virtual health assistance, and a growing number of collaborations between healthcare providers and major industry players are the market\'s expansion\'s contributing factors.

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

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