July 8, 2024

The Global Healthcare Chatbots Market Growth Is Driven By Growing Demand For On-Demand Care

Healthcare chatbots provide 24/7 access to medical information and advice for patients via text-based conversations. Through natural language processing technology, healthcare chatbots can understand patients’ symptoms, recommend next steps such as scheduling an appointment, and provide answers to frequently asked medical questions. For healthcare providers, chatbots offer an efficient way to triage patients and focus resources on the most urgent cases. The demand for on-demand and around-the-clock healthcare access has grown significantly in recent years, driving greater utilization of chatbot technologies in the industry.

Healthcare chatbots interact with patients to assess symptoms, understand medical histories, check insurance coverage and treatment costs, and provide care recommendations. This allows minor medical issues to be addressed promptly without visiting a doctor’s office or emergency room. For more complex cases, chatbots help prepare patients before meeting with a provider by gathering relevant details upfront. The global healthcare sector has increasingly embraced digital tools and telehealth options to enhance care quality and affordability while managing rising costs. As patients seek care whenever needed without time or location barriers, healthcare chatbots play a key role in extending personalized medical services at scale.

The global Healthcare Chatbots Market is estimated to be valued at Us$ 264.96 Bn in 2024 and is expected to exhibit a CAGR Of 7.0% over the forecast period 2024 To 2031, as highlighted in a new report published by Coherent Market Insights.

Market key trends:

One of the key trends in the healthcare chatbots market is the integration of artificial intelligence (AI) and machine learning capabilities. Through machine learning, chatbots can continuously analyze large volumes of patient data and medical information to enhance their response accuracy over time. Chatbots with advanced AI can mimic real human conversations, understand complex medical questions, and provide personalized care recommendations based on individual health profiles and needs. Their intelligent abilities are improving clinical decision support for both patients and healthcare providers.

Porter’s Analysis

Threat of new entrants: The healthcare chatbots market has moderate threat of new entrants due to high capital requirements for R&D and technological advancements.

Bargaining power of buyers: Buyers have moderate bargaining power due to availability of alternatives and focus on price and quality of service.

Bargaining power of suppliers: Suppliers have low to moderate bargaining power due to availability of substitute suppliers.

Threat of new substitutes: Threat of new substitutes is moderate as alternative technologies are emerging like conversational AI, virtual assistants, AI assistants.

Competitive rivalry: The healthcare chatbots market experiences high competitive rivalry due to increasing numbers of players offering customized solutions.

Key Takeaways

The Global Healthcare Chatbots Market Demand is expected to witness high growth. The global Healthcare Chatbots Market is estimated to be valued at US$ 264.96 Bn in 2024 and is expected to exhibit a CAGR of 7.0% over the forecast period 2024 to 2031.

Regional analysis comprises that North America is expected to dominate the market due to the increasing adoption of advanced technologies and rising healthcare costs in the region.

Key players operating in the healthcare chatbots market are Ironscales, Cofense (PhishMe), Infosec Institute, KnowBe4, PhishLabs, Wombat Security Technologies, Barracuda Networks, Mimecast, Proofpoint, CyberFish, DataEndure, FireEye, Smooth Phish, Votiro, XM Cyber, Lucidworks, Digital Defense, Getlabs, Avanan, Greathorn. Key players focus on new product launches and partnerships for market expansion.

Note:
1. Source: Coherent Market Insights, Public sources, Desk research
2. We have leveraged AI tools to mine information and compile it