Key takeaways
- Grand View Research valued the global chatbot market at $7.76 billion in 2024 and projects $27.29 billion by 2030, growth of about 23% a year.
- Banking adopted chatbots early: the CFPB estimated 37% of Americans used a bank’s chatbot in 2022 and projected 110.9 million users by 2026.
- AI assistants now send real shoppers to stores: Adobe measured a 693% jump in generative AI traffic to U.S. retail sites in the 2025 holidays, and those visitors converted 31% better.
- Customers remain wary: in a Gartner survey, 64% said they would prefer companies not use AI for customer service, mostly because they fear losing access to a person.
- The best results come from routine, high-volume questions with a clear path to a human, plus accurate answers, since companies are held responsible for what their chatbots say.
Chatbots have moved from experiments to everyday tools for customer service, sales and internal support. Many widely shared chatbot statistics, though, trace back to vendor blogs with no clear source. This guide collects figures from research firms, regulators and analytics platforms, organized by industry, along with the trends shaping chatbot use in 2026.
What does the chatbot market look like in 2026?
The chatbot market is growing quickly, though estimates vary widely by research firm and definition. Grand View Research valued the global chatbot market at $7.76 billion in 2024 and expects it to reach $27.29 billion by 2030, a compound annual growth rate of 23.3%. Other firms publish figures ranging from a few billion dollars to more than $20 billion, so compare a source’s definition before quoting it.
Market figures to know:
- Grand View Research places chatbots as the largest segment of a conversational AI market it projects at $41.39 billion by 2030.
- In 2022, Gartner predicted chatbots would become the main customer service channel for roughly a quarter of organizations by 2027.
- Generative AI has changed what counts as a chatbot. Older decision-tree bots and newer large language model assistants are often counted together, which inflates some estimates.
At Emulent, we think adoption numbers matter less than performance. When most competitors already offer a chatbot, the question is how well yours answers customers compared with what they now expect.
What are the chatbot statistics for banking and financial services?
Banking was among the first industries to adopt chatbots at scale because of heavy customer contact volume and pressure to control costs. The Consumer Financial Protection Bureau’s report on chatbots in consumer finance estimated that about 37% of the U.S. population, more than 98 million people, used a bank’s chatbot in 2022, citing a projection of 110.9 million users by 2026.
Banking chatbot figures:
- The CFPB found that all 10 of the largest U.S. commercial banks use chatbots in customer service.
- Bank of America’s Erica had served nearly 32 million customers across more than 1 billion interactions by October 2022, according to the same report.
- The CFPB also warned that poorly designed chatbots can trap customers in loops, give inaccurate information and violate consumer finance law when they fail to recognize disputes.
Trust is the main barrier in finance. Banks get the best results by letting chatbots handle balance checks, payments and simple questions while routing disputes, fraud and complex decisions to people.
What are the chatbot statistics for healthcare?
Healthcare organizations use chatbots mainly to reduce administrative work such as scheduling, reminders, insurance questions and intake, rather than for clinical decisions. Reliable industry-wide adoption figures are scarce, and many circulating percentages lack a clear source, so treat them with caution.
What healthcare organizations should know:
- HIPAA applies to chatbots that collect or store patient information. The vendor must sign a business associate agreement, and data must be protected in transit and at rest.
- Chatbots and tracking tools on patient-facing pages can expose health data to third parties. HHS has issued guidance on online tracking technologies, and the FTC has penalized companies for sharing health data.
- Symptom checkers and triage bots carry clinical risk. Most organizations limit them to directing patients to the right level of care and make clear that the bot isn’t a clinician.
The strongest case for healthcare chatbots is staff time. Routine requests handled automatically give front-desk and clinical teams more time for patients. Our healthcare marketing team helps practices plan these tools with privacy in mind.
What are the chatbot statistics for retail and e-commerce?
Retail and e-commerce use chatbots for support, product discovery, order tracking and cart recovery, and AI assistants outside the store now send a fast-growing share of shoppers. Adobe Analytics reported that traffic to U.S. retail sites from generative AI tools rose 693.4% year over year during the 2025 holiday season, when online spending reached a record $257.8 billion.
Retail and e-commerce figures:
- Adobe found AI-referred shoppers converted 31% more often than visitors from other sources during the 2025 holidays.
- Earlier, in July 2025, Adobe measured generative AI traffic to U.S. retail sites up 4,700% from a year before, from a small starting base.
- On-site assistants work best for order status, returns, sizing and product comparisons, where answers come from accurate store data.
For retailers, this means two jobs: running a helpful on-site assistant and making product pages clear enough for outside AI tools to recommend. Our content strategy services help with the second.
How are chatbots used in other industries?
Other industries use chatbots for high-volume, predictable conversations such as qualifying leads, booking appointments and answering policy questions. Published adoption percentages for these sectors are often unsourced, so the patterns below focus on common uses.
Common uses by industry:
- Real estate: answering listing questions, scheduling showings and qualifying buyers before an agent follows up.
- Education: handling enrollment, financial aid and scheduling questions, plus tutoring and study help on learning platforms.
- Recruiting and HR: screening applicants, scheduling interviews and answering benefits questions for employees.
- Travel and hospitality: managing bookings, itinerary changes and loyalty program questions.
- Restaurants: taking orders and reservations by chat or voice, where conversations follow a clear script.
Chatbots deliver the clearest results where conversations are repetitive and structured. The more predictable the flow, the more reliably a bot handles it without frustrating customers.
What trends are shaping chatbots through the rest of 2026?
The trends shaping chatbots in 2026 are generative AI replacing scripted flows, chatbots handling more conversations across voice and messaging, proactive outreach, and growing accountability for what bots say. Customer skepticism remains the main constraint.
Six trends to watch:
| Trend | What it means |
|---|---|
| Generative AI instead of decision trees | Large language models understand intent and handle unexpected questions, which resolves more issues without a person, provided answers are grounded in accurate company data. |
| Customer resistance | A Gartner survey of 5,728 customers found 64% would prefer companies not use AI for customer service, and 53% would consider switching to a competitor. The top concern, cited by 60%, was difficulty reaching a person. |
| Clear handoffs to people | Because of that concern, the best chatbots say upfront that a person is available and pass along the full conversation when they hand off. |
| Legal accountability | In 2024, a Canadian tribunal held Air Canada responsible for incorrect refund information its website chatbot gave a customer. Companies own their chatbots’ answers. |
| Scrutiny of AI claims | The FTC’s 2024 enforcement sweep against deceptive AI claims, including a case against a so-called robot lawyer, shows regulators expect marketing about AI tools to be accurate. |
| Voice and omnichannel | Businesses increasingly run one assistant across the website, app, text, social messaging and phone, keeping conversation history between channels. |
A counterpoint: a chatbot isn’t always the right answer. For low-volume businesses or complex, emotional conversations, a well-staffed phone line or live chat may serve customers better and cost less than a poorly performing bot.
At Emulent, we help businesses decide where conversational tools fit in their marketing and customer experience, and how to measure whether they’re helping. Contact Emulent to talk through how chatbots could support your customer acquisition and retention.