The global healthcare chatbots market was surpassed at USD 232.26 million in 2022 and is expected to hit around USD 1,345.05 million by 2032, growing at a CAGR of 19.2% from 2023 to 2032.
Key Pointers
Report Scope of the Healthcare Chatbots Market
Report Coverage | Details |
Market Size in 2022 | USD 232.26 million |
Revenue Forecast by 2032 | USD 1,345.05 million |
Growth rate from 2023 to 2032 | CAGR of 19.2% |
Base Year | 2022 |
Forecast Period | 2023 to 2032 |
Regions Covered | North America, Europe, Asia Pacific, Latin America, Middle East & Africa |
Companies Covered | 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. |
A chatbot is an interactive application that uses AI and a set of rules to engage with humans via textual communication. It is a piece of software that is in charge of establishing communication between a person and artificial intelligence. Chatbots communicate with customers via text or audio output. Pre-calculated sentences in the form of texts are used to carry out the dialogue. These chatbots are either cloud-based or on-premise solutions that patients use to assess symptoms, locate clinics, and schedule appointments.
Furthermore, healthcare payers employ healthcare chatbots to develop a connection between the organization and potential clients. Healthcare chatbots are systems that help patients with their questions. This application makes use of cutting-edge technologies and aids in responding to small issues raised by patients. This concept has spared the clinical staff a massive period of time, employees can focus more carefully on their duties. There is indeed a surge in demand for such digital assistants in the healthcare field due to the automation of numerous workflows employing enhanced technologies.
Increasing demand for virtual health assistance is a critical factor driving market growth, as these are increasing constant advancements and technological developments in the industry, an increase in patient waiting time and a shortage of effective patient engagement, increasing usage of healthcare chatbots, rising demand for healthcare chatbots as a result of increased demand for virtual health assistance, and an increase in the number of collaborative efforts between key industry players and healthcare providers. Furthermore, increasing social networking platform-oriented chatbots and developing cloud-based models would generate new chances for the Healthcare Chatbots Market during the anticipated year.
Increasing internet access and smart device penetration are also important industry drivers. However, rising concerns about data privacy are among the major factors that will obstruct market growth, while a lack of experience in chatbot development, as well as a rising unawareness and misconceptions, will further impede the growth of the Healthcare Chatbots Market during the forecast period. Many healthcare firms have begun to use a range of digital marketing tactics as a result of recent breakthroughs in digital technology. Because phone and message services, that are a part of chatbots, were included in these plans, the Healthcare Chatbots Market is projected to expand rapidly.
Although medical chatbots are beneficial to the economy, their global market expansion is hampered by a number of challenges. The most critical consideration is user privacy. Some patients could be hesitant to give chatbots personal information. Another factor that has contributed to cyber-attacks is a lack of qualified healthcare-IT personnel. These factors are stifling the world market development of healthcare chatbots. However, issues like lack of experience, restricted engagement capabilities, and concerns about data privacy are limiting business growth.
Healthcare Chatbots Market Segmentations:
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 |