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90+ Chatbot/Conversational AI Statistics in 2024

Updated on Feb 5
7 min read
Written by
Cem Dilmegani
Cem Dilmegani
Cem Dilmegani

Cem is the principal analyst at AIMultiple since 2017. AIMultiple informs hundreds of thousands of businesses (as per Similarweb) including 60% of Fortune 500 every month.

Cem's work focuses on how enterprises can leverage new technologies in AI, automation, cybersecurity(including network security, application security), data collection including web data collection and process intelligence.

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90+ Chatbot/Conversational AI Statistics in 202490+ Chatbot/Conversational AI Statistics in 2024

A chatbot is one of the primary applications of artificial intelligence. Its potential benefits and promising results of successful implementation make the technology popular among companies. 

But it’s also not all sunshine and roses: multiple chatbot projects have failed due to complexities of natural language. Businesses should follow best practices to minimize failure risks.

To get a general overview of the chatbot market, we have compiled 80+ up-to-date chatbot statistics from industry and customer surveys to help you in your chatbot research/feasibility study and make a data driven decision before starting a chatbot project.  

To ensure ease of readability, we examined chatbot stats based on 6 categories 13 sub-categories.

Market forecasts

Chatbot market Size Forecast

Interest in chatbots is increasing and the market is expected to be $1+ billion by 2025.

  • There are radically disparate estimates of the size of the conversational AI market because it is still in its infancy. However, a recent estimate claims that the worldwide conversational AI market was close to $5 billion in 2020 and that it is projected to increase to $14 billion by 2025 at a CAGR of 22%. (Accenture)
  • According to Google Trends, interest in chatbots has grown ~4x over a 10-year period.
Image shows interest for chatbots over time.
Source: Google

Prevalence of chatbots

~50% of large companies (i.e. those surveyed by companies like Accenture & Gartner) are considering more investment in chatbots.

  • 56% of companies say conversational bots are driving disruption in their industry, and 43% report their competitors are already implementing the technology. (Accenture)
  • By 2021, more than 50% of enterprises will spend more per annum on bots and chatbot creation than traditional mobile app development. (Gartner)

75-90% of the percentage of queries is projected to be handled by bots by 2022. (CNBC)

Business Adoption

Current Adoption

  • In 2021, a quarter of workers anticipated using digital workers and virtual assistants to automate jobs. (Gartner)
  • Nearly 80% of CEOs have changed or intend to change how they manage client engagement using conversational AI technologies. (Accenture)
  • CEOs were asked to identify the operational area of their company that benefits most from AI-powered solutions. One of the most frequent answers  was: To improve employee and consumer experiences (40 and 37 %, respectively) via conversational AI.(PwC)

Geographical & demographic Adoption

  • USA, India, Germany, the UK, and Brazil are the top 5 chatbot using countries.  (Chatbots Life)
  • The USA has the highest chatbots/1000 people rate. However, the stats below seem US-focused and what is defined as a “website with chatbot” has not been clarified. For example, we are sure that the number of sites with chatbots in India are far more than a few hundred. (Boomtown)
Country breakdown of chatbot using companies
Source: Boomtown

Customer Perspective

Customer Expectations

In most surveys, at least 35% of consumers are enthusiastic about chatbots. This is likely to be driven by desire for 24/7 service.

  • 54% of customers report companies need to transform how they engage with them. (Salesforce)
  • Over 50% of customers expect a business to be available 24/7. (VentureBeat)
  • 40% of shoppers don’t care if they’re helped by an AI tool or a human, as long as their question gets answered. (HubSpot)
  • 35% of consumers want to see more companies using chatbots. (Opus Research)
  • 38% of consumers think brands should use chatbots for deals, coupons and promotions. (Uberall)
  • 71% of consumers had some level of interest in responding to chatbots, only  29% indicated no interest at all. (Uberall)
  • 69% of respondents said they’d prefer chatbots for receiving instant responses, and the same percent said they’re most likely to use chatbots for service related inquiries. (Cognizant)
  • 86% of users expect chatbots to always have an option to transfer to a live agent. (Aspect Customer Experience Index)
  • 55% of consumers are likely to try a chatbot that offers location-based deals. (Uberall)
  • Customer service satisfaction with service chatbots is around 30%. (Nice)

Chatbot usage statistics

Different surveys have been conducted to determine why customers would interact with a bot. Results show that customers use chatbots for problem resolution or product purchase when they prefer a fast response.

  • 47% of consumers would buy items via a chatbot. (HubSpot)
  • 69% of consumers prefer to use chatbots for the speed at which they can communicate with a brand. (Salesforce State of Chatbots Report 2018)
  • Consumers see chatbots as a faster way to connect humans. 34% of all consumers see chatbots helping in finding human service assistance. (Salesforce State of Chatbots Report 2018)
  • 27% of adult clients in the US are ready to purchase basic goods through a chatbot and 13% of adults in the US have at least once bought expensive items via chatbots. (Drift)
  • 84% of consumers admit to using natural language processing at home and 44% in the car, while only 27% said they would at work. (HubSpot)
  • 35% of people use chatbots to resolve a problem, or for getting detailed answers (Drift)
  • 37% of users say they would use a chatbot to get timely responses in an emergency. (Drift)

Positive feedbacks from customers

  • 80% of consumers who have engaged with a chatbot report it as a positive customer experience. (Uberall)
  • 22% of respondents said they already trust chatbot recommendations for product purchases. (Cognizant)
  • 27% of consumers weren’t sure if the last customer support interaction they had was with a real person or a chatbot (PwC)
  • When, “how [they] would rate their experiences with intelligent assistant or chatbot technology,” was asked to customers by Aspect, the results were:
    • Friendliness (65%)
    • Ease of Use (65%)
    • Speed (62%)
    • Interaction Success (55%)
    • Accuracy (55%)
  • Better bot experiences with more engaged audiences are getting 80-90% response rates. While even the least favorable experiences are in the 35-40% range. (Matt Barby)

Negative feedbacks from customers

Customers don’t trust the logical and contextual understanding capabilities of the chatbots they interacted with. As a result, they prefer humans to take over conversations. This could be remedied with better chatbots or more smooth chatbot to human handover processes.

  • According to Uberall survey, when asked what elements of chatbots needed improvement,
    • 43% of respondents said chatbots need to work on their accuracy in understanding what customers are asking or looking for,
    • 27% of respondents said the ability of customers to get “a human customer rep involved where needed”
    • 19% of respondents said the ability to hold a more “human-sounding, natural conversation”
  • 46% of respondents felt that chatbots were being used specifically to keep them away from a live agent.(GetVoip)
  • 65% of users seem to not trust chatbots and feel that chatbots don’t fully understand their issue. (GetVoip)
  • 54% of respondents would choose a live person over a chatbot even if engaging with a chatbot saved them 10 minutes (Usabilla)

Customer breakdown by age

As expected, younger users tend to prefer bots more compared to older users:

  • 40% of millennials engage with bots on a daily basis (Mobile Marketer)
  • 67% of US millennial internet users would purchase a product/service from brands using a chatbot. (eMarketer)
  • 66% of millennials versus 58% of Baby Boomers consider 24-hour service as the top benefit of using chatbots. (Drift)
  • 70% of millennials report positive chatbot experiences. (Forbes)
  • 60% of consumers aged 35-44 in the US report that companies are too quick to replace human representatives with chatbots. (CGS)


The key benefit of chatbots is enhancement of customer service so that businesses can deliver a better customer experience which eventually leads to increased revenue.

  • Business leaders claim chatbots have increased sales by 67% on average. (Forbes)
  • 57% of businesses claimed that chatbot delivers large ROI on minimal investment. (Accenture Digital)
  • Nearly 90% of respondents report that they have recorded measurable improvements in the speed of complaint resolution, and over 80% have noted enhanced call volume processing using AI. (MIT Technology Review)
  • 80% of respondents report measurable improvements in customer satisfaction, service delivery, and contact center performance. (MIT Technology Review)
  • 64% of businesses believe that chatbots will allow them to deliver a more customized customer support experience. (Statista)
  • Chatbot automation can lead to $23 billion in savings from annual salaries. (BusinessInsider)
  • Consumers and businesses will save over 2.5 billion customer service hours by 2023. (Juniper Research)
  • Chatbots are projected to save $0.70 per customer interaction (CNBC)


  • According to Accenture Digital Chatbot Report, top reasons of companies who don’t plan to implement chatbot are:
    • User adoption hesitancy: reluctance to engage with a conversational bot (64%)
    • Sub-par performance: inability to incorporate history/context for personalized experiences (51%)
    • Sub-par performance: failure to adequately understand human input (47%)
    • Uncertain exposure to a new privacy, security, legal, regulatory frontier (45%)
    • Shortage of skilled developers (44%)
  • According to same Accenture report, the top challenges bot supporters have faced, or expect to face, when implementing bots are:
    • Lack of skilled talent to develop and work with bots. (65%)
    • Deployment cost (49%)
    • Cost to acquire/purchase (46%)
    • Data privacy & security (42%)
    • Self-learning/ Self-aware abilities (42%)

To explore situations where chatbots failed, feel free to read our in-depth article about 8 chatbot epic failures.

Industry Specific Stats

According to Chatbot Life’s 2019 chatbot report, the top 5 industries that benefit from chatbots are real estate (28%), travel (16%), education (14%), healthcare (10%), and finance (5%). Therefore, we compiled statistics from these industries:


  • The global chatbot in banking, financial services and insurance (BFSI) market was valued at ~$586M in 2019 and it is expected to reach ~$7B in 2030. (NMSC)
  • Chatbots will be able to reach 90% success rate in customer interactions by 2022. (Juniper Research)
  • Average amount banks save per chatbot interaction is $0.60 (Opus Research)
  • JP Morgan saved more than 360,000 hours of labor using its COIN chatbot to quickly analyze complex back-end contracts. (The Financial Brand)
  • 43% of digital banking users in the US prefer to use a live chat or chatbot to address issues. (eMarketer)

For more, feel free to check our banking chatbot research.


  • 33% of consumers would use a chatbot to make a reservation at a hotel or restaurant. (Drift)
  • Consumers see travel chatbots as a viable option. Two-thirds of those surveyed would find a chatbot useful (40%) or very useful (26%) in managing all of their business and work travel arrangements. (Humley)
  • 37% of users would prefer to deal with an intelligent chatbot when arranging travel plans or comparing booking options. (Humley)
  • 87 % of users would interact with a travel chatbot if it could save them both time and money. (Humley)

We have an article on travel chatbots, if you are interested. 


  • 34% of retail customers would be comfortable speaking with customer service through an AI chatbot. (Statista)
  • Over 70% of chatbot conversations will be with retail chatbots by 2023. (Juniper Research)
  • In a 2019 survey, ±40% of U.S. consumers stated that they have used chatbots to engage with the retail industry (Statista)
  • Clothing is the most popular product type sold online with the assistance of chatbots. 22% of the most successful online stores sell clothes. Next are health products (9%), furniture (9%), electronics (8%), and jewelry (8%). (Tidio)

To explore chatbot use cases in retail, feel free to read our guide on retail chatbots.


  • By 2022, 35% of organizations will turn the job application process into a simple conversation by utilizing conversational user experience and natural language processing in their recruiting process. (Gartner)
  • Recruiting chatbot vendor XOR claims that their chatbot solution allows businesses to recruit 33% faster and screen 85% more resumes with the same budget while spending 50% less per hire. (XOR)
  • According to Allegis survey,
    • 58% of candidates were comfortable interacting with AI and recruitment chatbots in the early stages of the application process.
    • 66% – were comfortable with AI and chatbots taking care of interview scheduling and preparation.

For more on recruiting chatbots, feel free to check our related article.

For more on chatbots

You can see  our list of chatbot platforms and services:

And if you still have questions about deploying chatbots, don’t hesitate to ask us. We would like to help:

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Access Cem's 2 decades of B2B tech experience as a tech consultant, enterprise leader, startup entrepreneur & industry analyst. Leverage insights informing top Fortune 500 every month.
Cem Dilmegani
Principal Analyst
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Cem Dilmegani
Principal Analyst

Cem is the principal analyst at AIMultiple since 2017. AIMultiple informs hundreds of thousands of businesses (as per Similarweb) including 60% of Fortune 500 every month.

Cem's work focuses on how enterprises can leverage new technologies in AI, automation, cybersecurity(including network security, application security), data collection including web data collection and process intelligence.

Cem's work has been cited by leading global publications including Business Insider, Forbes, Washington Post, global firms like Deloitte, HPE, NGOs like World Economic Forum and supranational organizations like European Commission. You can see more reputable companies and media that referenced AIMultiple.

Cem's hands-on enterprise software experience contributes to the insights that he generates. He oversees AIMultiple benchmarks in dynamic application security testing (DAST), data loss prevention (DLP), email marketing and web data collection. Other AIMultiple industry analysts and tech team support Cem in designing, running and evaluating benchmarks.

Throughout his career, Cem served as a tech consultant, tech buyer and tech entrepreneur. He advised enterprises on their technology decisions at McKinsey & Company and Altman Solon for more than a decade. He also published a McKinsey report on digitalization.

He led technology strategy and procurement of a telco while reporting to the CEO. He has also led commercial growth of deep tech company Hypatos that reached a 7 digit annual recurring revenue and a 9 digit valuation from 0 within 2 years. Cem's work in Hypatos was covered by leading technology publications like TechCrunch and Business Insider.

Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.

Sources: Traffic Analytics, Ranking & Audience, Similarweb.
Why Microsoft, IBM, and Google Are Ramping up Efforts on AI Ethics, Business Insider.
Microsoft invests $1 billion in OpenAI to pursue artificial intelligence that’s smarter than we are, Washington Post.
Data management barriers to AI success, Deloitte.
Empowering AI Leadership: AI C-Suite Toolkit, World Economic Forum.
Science, Research and Innovation Performance of the EU, European Commission.
Public-sector digitization: The trillion-dollar challenge, McKinsey & Company.
Hypatos gets $11.8M for a deep learning approach to document processing, TechCrunch.
We got an exclusive look at the pitch deck AI startup Hypatos used to raise $11 million, Business Insider.

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