Chatbots are an essential tool used by both businesses and consumers today. Chatbot statistics suggest that companies will save up to $11 billion and nearly 2.5 billion hours by using chatbots.
But what exactly does this mean? How are consumers and businesses using chatbots?
In this report, we’ll dive deeper into the world of chatbots to reveal these answers.
Top Chatbot Stats
- The global chatbot market is valued at $15.57 billion in 2025.
- By 2029, the global chatbot market will grow to $46.64 billion.
- More than 987 million people use AI chatbots today.
- The cost to develop and implement a chatbot can range between $5,000 and $500,000, depending on complexity, industry, and use case.
Chatbot Market Size Statistics
The global chatbot market is worth approximately $15.57 billion, compared to just $2.47 billion in 2021 (Research and Markets).
That’s an increase of over $13.1 billion in just three years.
According to the latest available data, the global AI chatbot market is expected to reach $46.64 billion by 2029, growing at a 24.53% CAGR.
This growth is primarily driven by the increasing demand for automated customer service solutions and the need for businesses to improve operational efficiency.
| Year | Market Value |
| 2021 | $2.47 billion |
| 2022 | $4.92 billion |
| 2023 | $6.09 billion |
| 2024 | $15.57 billion |
| 2025* | $19.39 billion |
| 2026* | $24.15 billion |
| 2027* | $30.06 billion |
| 2028* | $37.44 billion |
| 2029* | $46.64 billion |
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Chatbot Usage & Adoption Statistics
88% of people had at least one conversation with a chatbot in the past year (Tidio).
This is according to a Tidio study, which surveyed 774 online business owners and 767 customers. It’s also why 55% of companies plan to add a chatbot to improve customer service interactions.
80% of people say their chatbot interactions were generally positive (Uberall).
Chatbot technology has matured significantly in recent years due to improved natural language processing and chatbots’ ability to handle complex queries. In fact, 14% of people say their chatbot interaction was “very positive,” while only 4% claim to have had a “very negative” interaction.
35% of consumers who used chatbots in 2023 did so in place of search engines to have a question answered (Consumer Reports).
This is where the industry has shifted in recent years. Chatbots like ChatGPT have made it easier for people.
The same survey revealed that 23% of people use them for writing or editing tasks, while 17% say they rely on AI chatbots, like ContentShake AI, to generate new ideas for work or school assignments.
One-third of Americans claim to have used an AI chatbot in the past three months (Consumer Reports).
Among those who have engaged with AI chatbots, ChatGPT was the most used, with 19% of respondents stating they had used it.
Other AI chatbots, such as Bing Chat and Google Gemini (Formerly Bard), follow, but with significantly lower usage rates.
Interestingly, 69% of respondents reported not using an AI chatbot during the last three months.
Here’s a complete list of all chatbots mentioned by survey respondents:
| AI Chatbot | Percentage of Users |
| ChatGPT | 19% |
| Bing Chat | 6% |
| Google Gemini (Bard) | 4% |
| YouChat | 1% |
| OpenAI Playground | 1% |
| HuggingChat | 1% |
| Sparrow by DeepMind | 1% |
| Other (unspecified) | 2% |
| Used an AI chatbot but don’t remember which one | 4% |
| Have not used an AI chatbot in the past three months | 69% |
Today, more than 987 million people use AI chatbots. And many more interact with chatbot software on business websites.
Meta AI has the most users compared to any other AI chatbot, with 500 million active users.
Behind Meta AI is ChatGPT, which has 400 million users.
Next, Google Gemini has 140 million users, and Microsoft Copilot (Bing Chat) has 100 million users.
Grok is one of the fastest growing chatbots, with more than 35 million active users.
Below is a complete list of the top ten AI chatbots, ranked by total active users.
| Rank | AI Chatbot | Total Active Users |
| 1 | Meta AI | 500 million |
| 2 | ChatGPT | 400 million |
| 3 | Google Gemini | 140 million |
| 4 | Microsoft Copilot (Bing Chat) | 100 million |
| 5 | Grok | 35 million |
| 6 | Claude | 20 million |
| 7 | Perplexity | 15 million |
| 8 | Pi | 6 million |
| 9 | Poe | 4 million |
| 10 | HuggingChat | 1.2 million |
Despite having the most users, Meta AI does not lead in total user traffic.
Below is a comparison of the top ten AI chatbots, ranked by total monthly visitors. All traffic data was gathered using the Semrush Traffic Analytics tool.
Most Popular Chatbot Use Cases
35% of people use AI chatbots to answer a question or have something explained to them (Consumer Reports).
Beyond answering questions, chatbots are also used for more creative and task-oriented purposes. 23% of users have employed chatbots to write, re-write, or edit something to accomplish a task.
Here’s a breakdown of the most chatbot use cases:
| Chatbot Use Case | Percentage of Users |
| Answering a question instead of using a search engine | 35% |
| Having the chatbot explain something | 35% |
| Writing, re-writing, or editing something to accomplish a task | 23% |
| Coming up with ideas for an assignment (work or school) | 17% |
| Coming up with ideas not related to work or school | 17% |
| Summarizing a longer piece of text | 14% |
| Writing or editing something for artistic or entertainment purposes | 14% |
| Getting recommendations (e.g., where to eat) | 13% |
| Having a conversation with someone | 13% |
| Translating something from one language to another | 12% |
| Generating computer code | 10% |
| Coming up with travel plans | 9% |
Businesses use chatbots differently than consumers. They are even being used to replace existing jobs.
It’s normal to see chatbots on a company’s website to help visitors with various tasks. The most common use case for chatbots is sales. Other common use cases include:
| Use Case | Percentage |
| Sales | 41% |
| Support | 37% |
| Marketing | 17% |
| Other | 5% |
Sales Chatbots
Of the 41% of businesses that report using chatbots for sales purposes, they’ve seen sales increase by an average of 67% (Intercom).
Chatbots are most useful for sales teams to collect information, qualify leads, book product demos, and engage with website visitors.
26% of all sales originate from chatbot interactions, and 35% of business leaders have reported that chatbots help close sales deals (Intercom).
Sales interactions happen faster today. Modern buyers want quick, personalized responses to their questions through instantly available live chat. This is where sales are happening and where business leaders are seeing the biggest boosts in revenue.
Support Chatbots
37% of businesses use chatbots for customer support interactions. Chatbots respond 3x faster to inquiries than human agents (Intercom).
According to both enterprise and small business leaders, faster customer response times reduce company costs and improve the overall customer experience.
90% of businesses witnessed faster complaint resolution thanks to chatbots (MIT Technology Review).
Not only do chatbots improve the speed of complaint resolution, but more than 80% of survey respondents say that call volume has increased with the help of AI chatbots.
Company leaders claim chatbots have increased customer support satisfaction scores by 24% (Intercom).
Chatbots can get to a high volume of calls and chats faster than humans, resulting in better customer satisfaction scores compared to manual responses by agents.
Chatbot Cost Statistics
Developing a chatbot can cost between $5,000 for basic rule-based systems and over $500,000 for advanced AI-powered systems (EasyFlow).
The price tag for chatbot implementation depends on its complexity and features:
- Basic rule-based chatbots: $5,000 – $25,000
- Moderately complex chatbots: $16,000 – $50,000
- Advanced AI-powered chatbots: $25,000 – $500,000+
This includes planning, design, integration, testing, and deployment costs.
For instance, the planning and research phase alone can cost between $3,000 and $8,000, while design (UX/UI) might range from $10,000 to $20,000 (SparxIT).
Here’s a look at the expected costs for each development and implementation phase for chatbots:
| Development Stage | Cost Range |
| Planning and Research | $3,000 – $8,000 |
| Design (UX/UI) | $10,000 – $20,000 |
| Front-end Development | $12,000 – $30,000 |
| Back-end Development | $18,000 – $35,000 |
| Integration | $8,000 – $20,000 |
| Testing | $3,000 – $10,000 |
| Deployment | $4,000 – $12,000 |
| Maintenance and Updates | $8,000 – $20,000 per year |
However, the development stage is not the only factor that determines the cost of an AI chatbot. Cost can vary depending on specific industry requirements.
For example, SaaS chatbots are the most expensive, costing between $50,000 and $80,000. Banking, financial services and insurance (BFSI) is a close second at $45,000 – $80,000.
Here are the chatbot development costs broken down by industry:
| Industry | Estimated Cost Range |
| Healthcare | $30,000 – $75,000 |
| BFSI | $45,000 – $80,000 |
| Education | $25,000 – $70,000 |
| Manufacturing | $35,000 – $80,000 |
| E-commerce and Retail | $35,000 – $70,000 |
| Travel | $25,000 – $60,000 |
| SaaS | $50,000 – $80,000 |
| Social Media | $20,000 – $50,000 |
| Agriculture | $30,000 – $60,000 |
Chatbot Statistics By Region
North America has the largest chatbot market share globally at 30.72% of total revenue, with the United States and Canada leading the way (Grand View Research).
This market share is driven by growing AI chatbot startups in the region, and companies are focusing on integrating chatbots into their operations.
44% of North American support teams plan to invest in chatbots in 2025.
Asia Pacific is the second-largest market for chatbots.
The region is projected to have the fastest growth in chatbot adoption, with a CAGR of 24.2% from 2022 to 2028.
Here’s a breakdown of the market share for each region:
| Region | Market Share |
| North America | 30.72% |
| Asia Pacific | 28.45% |
| Europe | 25.34% |
| Latin America | 9.52% |
| Middle East and Africa | 5.97% |
AI chatbots like ChatGPT have a similar distribution of users across regions.
According to Semrush traffic data, the United States accounts for 14.24% of ChatGPT’s website traffic, or 75.4 million monthly unique visitors.
India ranks second with an 8.40% traffic share, followed by Kenya at 5.90% and Brazil at 4.87%.
Below is a complete list of the top 15 countries that use ChatGPT, ranked by traffic share.
| Country | Traffic Share | Unique Visitors |
| United States | 14.18% | 75.4M |
| India | 8.40% | 51.1M |
| Kenya | 5.90% | 33.6M |
| Brazil | 4.87% | 29.3M |
| Philippines | 3.06% | 12.6M |
| Germany | 2.83% | 16.5M |
| Canada | 2.59% | 10.7M |
| United Kingdom | 2.54% | 12.8M |
| Mexico | 2.51% | 11.9M |
| Indonesia | 2.47% | 13.2M |
| Spain | 2.02% | 9.9M |
| France | 1.94% | 9.3M |
| Japan | 1.81% | 9.5M |
| Australia | 1.79% | 9.7M |
| South Korea | 1.64% | 9.2M |
Conclusion
As chatbot technology continues to evolve, 2025 and beyond present opportunities for businesses (and consumers) across numerous industries.
For businesses, using AI-powered chatbots can improve the customer experience while reducing support, marketing, and sales costs. Meanwhile, consumers are finding new ways to use chatbots daily.
Considering these tools are only a few years old, generative AI adoption is still rising and chatbot usage is expected to follow.