In the case of AI agents, statistics tell a bigger story than numbers. Therefore, this article is not only about stats.

The most important statistics for AI agents in 2025.

 What these statistics tell us about where things are going.

How businesses should react to stay ahead.

At Big Sur AI, we understand firsthand how agents can drastically change how a business operates and provide customers with improved experiences.

Before we dive in, here’s a summary of our findings 👇

 Businesses are rapidly embracing AI agents.

82% of companies globally are either utilizing or actively exploring the use of artificial intelligence (AI)

25% of enterprises using generative AI will deploy autonomous “agentic” AI pilots by 2025, rising to 50% by 2027

Likewise, overall investment is booming 👇

92% of companies plan to boost AI spending in the next three years

Nearly all firms are investing in some form of AI, yet only 

 The steep growth curve means even cautious industries are moving toward AI autonomy. Companies should 

 to ride this wave, or risk falling behind more AI-driven competitors.

Because so few have achieved full AI integration, there’s still an opening now to become a leader by aggressively scaling AI across workflows.

TL;DR → AI agent enablers are being swarmed with funding.

global AI agents market will reach $7.6 billion in 2025 (up from $5.4 billion in 2024)

The global AI agents market is estimated to reach

$47 billion by 2030 (a 45.8% CAGR from 2025)

Venture capital is pouring in as well ⤵️

AI agent startups raised about $3.8 billion in 2024, nearly triple the previous year’s funding

The U.S. currently leads with ~40% of global AI agent revenue, while Asia–Pacific is the fastest-growing region.

 Surging market size and investment signal strong confidence in AI agents’ future. Now is an ideal time to partner with emerging AI vendors or build in-house capabilities.

, so staying informed on new AI agent tools will help companies capitalize on the latest efficiency or customer-service improvements before competitors do.

TL;DR → AI agents are quickly becoming mainstream in enterprise tech roadmaps.

85% of enterprises will be using AI agents in some form by the end of 2025

In other words, adoption is not limited to tech giants. It’s spreading across industries and company sizes.

 This ubiquity underscores that AI agents are no longer experimental fringe tech; they are 

expected to be a standard tool in the business toolkit

. Decision-makers should plan for organization-wide AI integration (in budgets, talent, and strategy) in the near term.

As AI agents become as common as cloud or mobile technology, those who delay integration risk their processes and customer offerings looking outdated.

treat AI agent capability as a strategic imperative

TL;DR → A clear majority of businesses are now either using or exploring AI solutions.

42% of large enterprises (1000+ employees) reported deploying AI in some capacity, and another 40% are experimenting with it, totaling ~82% engaged

. This spans both advanced AI agents and simpler automation bots.

9 in 10 organizations view AI as crucial for gaining a competitive edge

‼️ However, very few companies have fully scaled AI across all operations (recall only 1% feel “AI mature”).

 The data shows AI has entered the business mainstream. If your company isn’t at least piloting AI solutions, you’re in a shrinking minority.

fully realizing AI’s potential remains rare, so adopting AI now can help 

Companies should start with pilot projects in high-impact areas (e.g. customer service chatbots or AI-assisted analytics) to catch up to the 80% of peers already on this journey, and then aggressively scale successful pilots for competitive advantage.

Perhaps even leverage consultants and experts who specialize in building and operating agents. 

SMBs Embracing AI (Not Just Big Enterprises)

TL;DR → Smaller businesses are actively adopting AI as well, and are replacing hiring human labor with agents.

A global survey of 3,350 SMB leaders found 

75% of small and mid-size businesses are at least experimenting with AI

, with high-growth SMBs leading the way (83% of growing firms use or pilot AI).

the share of small businesses using generative AI nearly doubled from 23% in 2023 to 40% in 2024

91% of these small-business adopters expect AI to drive business growth

 for smaller companies. SMBs can leverage readily available AI tools (for marketing content, chatbots, etc.) to achieve capabilities that once only large enterprises could afford.

The strong revenue optimism among small firms using AI suggests that even basic automation or AI assistants can yield outsized benefits.

. Start with one or two tools (like an AI CRM assistant or an inventory optimizer) that can free up staff time or improve customer experience.

Early adoption could translate into faster growth and efficiency gains that help you compete with larger players.

TL;DR → Adoption rates do vary by company size. Larger enterprises and SMBs have pulled ahead, while many mid-market firms lag.

50% of companies with 5,000+ employees have implemented AI

, and among the largest (10,000+ employees) 

only around 10% of mid-sized businesses (250+ employees) have implemented AI so far.

 This gap suggests mid-tier companies may be slower due to resource constraints or uncertainty, but it also means 

an opportunity for mid-sized firms to catch up

. If you’re in that mid-market category, consider that your bigger competitors are already reaping AI’s benefits (automation, better insights, cost savings).

 can be as simple as adopting proven AI solutions in one department (e.g. automated customer support or AI-driven forecasting in finance) to start. Many AI tools today are cloud-based and cost-effective, so mid-sized organizations should 

 to avoid falling behind in efficiency and customer expectations set by the larger firms.

🧑‍💻 Usage by Function or Industry (Customer-Facing and Internal)

Customer Service & Support – Chatbots and Agent Assistants

TL;DR → AI has quickly become the backbone of customer service operations. Almost all customer support teams utilize AI agents in some form.

80% of companies are using or planning to deploy AI-powered chatbots for customer service by 2025

These AI agents handle FAQs, routing, and even complex inquiries 24/7. Importantly, AI isn’t only facing customers.

81% of contact centers use AI behind the scenes

 (for training staff or providing agent coaching and insights) to improve service quality.

eventually play a role in nearly 100% of customer interactions

, whether through direct chatbot engagement or assisting human reps.

 Deploying AI in customer support can drastically cut response times and operating costs. Businesses report AI chatbots have reduced first-response times by over 30% and help resolve tickets 50% faster in some cases.

 Every company with a customer support function should evaluate AI solutions (like conversational bots or AI “co-pilots” for agents). These tools 

, offering instant answers and consistent support, which improves customer satisfaction.

Start by automating common support requests; this frees human agents to focus on high-value or complex customer issues, thereby improving overall service without the need to add headcount.

Marketing & Sales – Content, Personalization, and Sales Agents

TL;DR → Adoption of AI in marketing and sales is extremely high and delivering tangible ROI.

88% of marketers now use AI in their day-to-day roles

In sales and e-commerce, AI agents are driving personalization and upsells ⤵️

69% of retailers using AI agents report significant revenue growth thanks to personalized shopping experiences

Companies are also deploying AI sales assistants:

Verizon, for example, rolled out an AI agent to support its 28,000 customer reps and saw nearly 

 by streamlining call handling and allowing reps to focus on closing deals.

And it’s not just isolated cases; many firms are formalizing this trend.

35% of Chief Revenue Officers will establish dedicated “GenAI” teams by 2025

 to integrate AI into sales ops, and businesses using these AI agents already see a 

 AI can turbocharge marketing and sales through automation and smarter targeting. Marketers can leverage AI tools to produce and A/B test content in a fraction of the time, and sales teams can use AI to qualify leads or suggest next-best offers automatically.

 If you’re in marketing, consider AI copywriting and campaign optimization tools to increase output and personalization.

If you’re in sales, explore AI assistants that log calls, draft follow-up emails, or analyze customer sentiment.

These agents not only save time but also 

 (more leads converted, higher engagement), directly boosting top-line performance.

Traditional Industries like Retail, Manufacturing, Finance, Healthcare

TL;DR → AI agent adoption spans virtually all sectors, with different emphases by industry:

TL;DR → Besides chatbots for service, retailers employ AI agents for supply-chain optimization and personalized promotions.

76% of retail companies are increasing investment in AI agents over the next year

 specifically to enhance customer service (e.g. automated order tracking, inquiry handling).

Personalized AI recommendations and service bots are lifting sales, with nearly 

 Retailers should deploy AI to personalize the customer journey at scale (product recommendations, tailored marketing) and automate post-sale support.

These agents improve customer experience and loyalty while freeing staff from repetitive queries, which directly translates into higher sales and retention.

Here’s an example of Rad Bikes using Big Sur AI to lift sales and support visitors 24/7 👇

AI Agents in Business: 50 Key 2025 Statistics and Insights

You can either accept how prominent AI chatbots will be for businesses beyond 2025, or keep your hand in the sand.

This article covers 27 AI chatbots statistics that will help you figure out why you should implement AI chatbots, how, and what people actually care about.

Here’s an overview of our findings 👇

The AI chatbot market is experiencing explosive growth.

$15.6 billion in 2024 and is projected to nearly triple to $46.6 billion by 2029

, an approximately 24% annual growth rate

Business adoption is accelerating as well – 

by 2025, the number of companies using AI chatbots is expected to increase by around 34%

95% of all customer interactions will be powered by AI (including chatbots) by 2025

For businesses, this trajectory signals that chatbots are moving into the mainstream. Investing in chatbot solutions now can help companies capitalize on this trend.

Early adopters stand to gain a competitive advantage in customer engagement and efficiency as AI-driven conversations become the norm.

Business Adoption Across Company Sizes and Regions

AI chatbots have established a foothold across all types of businesses.

60% of B2B companies and 42% of B2C companies are using chatbot software

Adoption skews higher in large organizations.

24% of enterprises have implemented chatbots (versus ~16% of small businesses)

But smaller firms are catching up thanks to easy third-party bot platforms.

The United States in particular, leads in usage, accounting for 

28% of the world’s chatbots (second only to Europe’s 45%)

, reflecting strong uptake in the US market.

Chatbots are becoming standard business tools. Enterprises should continue to expand their chatbot projects to stay ahead, while small and mid-sized businesses can rapidly implement off-the-shelf bots (

) to compete with larger players. In an era when U.S. consumers especially expect on-demand service, deploying chatbots can help any company remain accessible and responsive 24/7.

TL;DR → One of the strongest arguments for chatbots is the tangible return on investment they deliver. On the cost side, AI chatbots dramatically reduce customer service expenses. Handling inquiries via chatbot is far cheaper than via live staff.

chatbot interaction costs about $0.50, versus roughly $6.00 for a human support interaction

This efficiency translates into big savings ⤵️

save up to 30% on customer support costs by using chatbots

 just from these support cost reductions.

On the revenue side, chatbots are driving sales growth. They make it easier for customers to buy anytime,

onsumer purchases via chatbots will reach $142 billion in 2025

E-commerce businesses that added AI chat assistants have reported an average of

 20% increase in average order value within the first week of deploying an AI chatbot

Chatbots can directly improve the bottom line. Businesses should leverage chatbots to automate routine tasks and guide customers through the sales process, thereby reducing operating costs 

It’s important to track key metrics (like cost per query, conversion rates, and customer satisfaction) before and after chatbot implementation.

In many cases, companies will find that bots pay for themselves many times over by saving support labor and capturing additional sales that might have been lost without instant service.

TL;DR → Customer support is the top domain for chatbots.

chatbots can automatically answer up to 79% of routine questions

Which is a major cost and time saver for support teams!

95% of consumers believe the customer service department benefits the most from chatbot technology

A key reason is availability! Bots never sleep!

64% of users say the best thing about chatbots is 24/7 service

instant answers to simple queries any time

 rather than waiting hours for a human reply.

Here’s an example of Rad Bikes using Big Sur AI on their site to help visitors 24/7 👇

Businesses should deploy chatbots as a front-line support for FAQs, order status checks, and other common customer issues. 

By handling these inquiries instantly at any hour, companies can improve customer satisfaction and relieve their human agents to focus on more complex, high-value customer needs.

TL;DR → Chatbots are increasingly used to drive sales and marketing engagement.

80% of marketing and sales leaders have already implemented or plan to integrate chatbots into their customer interactions

These bots proactively greet website visitors, recommend products, and answer pre-purchase questions, and it pays off.

over half of companies using chatbots for marketing report a 55% increase in high-quality lead generation

Some businesses even saw sales jump by double digits after adding chatbots to their funnel.

Chatbots can boost revenue by capturing and nurturing more leads around the clock. By using chatbots as virtual sales assistants to qualify prospects, suggest products, or offer promotions in real time, businesses can increase conversions and ensure potential customers don’t slip away due to a lack of instant engagement.

➕ Industry Spotlights (Finance & Healthcare)

Many industry-specific chatbot applications are seeing success. In finance, chatbots have become popular for banking and insurance services.

About 43% of banking customers now prefer to resolve issues through a chatbot

Around 80% of financial institutions view chatbots as an opportunity to enhance customer service

In healthcare, adoption is rising rapidly: 

over 52% of patients in the US obtain health information through healthcare chatbots

Medical chatbots are helping save the healthcare sector an estimated 

 by handling intake questions, symptom checks, and other tasks.

Businesses in these sectors can leverage chatbots to improve service quality and efficiency. 

For example, banks can use bots for account inquiries or fraud alerts, and hospitals or clinics can use AI assistants for appointment scheduling and answering medical FAQs. 

By offloading routine interactions to bots, organizations in highly transactional industries can deliver faster service to customers (such as patients or clients) while reducing the workload on staff.

TL;DR → Today’s consumers have grown very receptive to AI chatbots, largely because they value speed and convenience.

82% of customers would rather use a chatbot immediately than wait for a human agent

‼️ In fact, long hold times have become so unacceptable that nearly 

any wait at all pushes people to prefer a bot

 if one is available. The vast majority of consumers view chatbot-assisted service positively.

96% of shoppers say that companies who use chatbots are effectively taking good care of their customers

, debunking the myth that customers only want to talk to humans.

94% of people even believe AI chatbots will make traditional call centers obsolete

This reflects a huge shift in expectations. Customers now 

offering a responsive chatbot can significantly boost customer satisfaction. By providing quick answers 24/7 through chatbots, companies meet modern consumers’ demand for immediacy. That said, it’s wise to also allow smooth handoffs to human agents for complex or sensitive issues. But for most simple queries, customers will choose the fast, AI-powered option every time.

Internal Productivity Bots (Employee-Facing Chatbots)

TL;DR → Beyond customer-facing use, many companies are now using AI chatbots internally to streamline operations.

Major enterprises have led the charge 👇

Over 80% of Fortune 500 companies integrated ChatGPT (a generative AI chatbot) into their workflows within just nine months of its launch

Employees are also adopting these AI assistants to boost their productivity.

10.8% of global employees had already incorporated ChatGPT into their day-to-day work

For example, HR teams now deflect a huge portion of inquiries to bots:

About 75% of all HR-related queries worldwide in 2023 were handled by HR chatbots

freed up thousands of hours of staff time

 that would have otherwise been spent answering routine questions (like PTO balance, benefits, or policy FAQs).

 Takeaway: AI chatbots done well = internal efficiency.

Deploying “productivity bots” for IT help desks, HR portals, employee training, and knowledge management can automate repetitive support tasks for employees. This not only saves staff time and operational costs, but also enables employees to get information or assistance instantly (rather than waiting on emails or calls).

This way, people can focus on more strategic, value-adding work. Companies that embrace internal chatbots as virtual team members will likely see gains in overall productivity and faster resolution of employee needs.

Next steps: Deploy your own AI chatbot in minutes

Here’s how you can deploy a fully-trained, customizable AI chatbot on your website in under 10 minutes with Big Sur AI 👇

 Big Sur AI will automatically analyze your site content.

 Set up specific AI actions and decide where the AI agent will appear on your site.

 Your AI agent will be live in minutes, and you can track performance with real-time analytics.

Proprietary data from Big Sur AI’s platform and customers

27 AI Chatbot Statistics for Businesses in 2025

Intercom Fin’s usage-based pricing can lead to unpredictable support costs as your conversation volume grows, making it important to carefully evaluate if its model truly matches your team’s needs and budget.

In this article, we break down Intercom Fin’s current pricing, plan features, free trial limitations, customer feedback, and how costs scale as your usage increases.

At the end, we’ll share an alternative that addresses Intercom Fin’s biggest product and pricing challenges.

Intercom Fin provides an AI-powered customer support chatbot built to resolve up to 50% of queries instantly and reduce workload on human agents.

Fin is priced by the number of customer resolutions handled directly by the AI, making support costs scalable and predictable.

You can choose from two plans based on usage volume and need for advanced features. Here’s how they compare 👇🏼

💡 Pricing is pay-as-you-go, so costs increase only as you scale up AI-handled conversations.

Does Intercom Fin offer a free trial or plan?

Based on a review of Intercom Fin’s official website, including its pricing page, there is no indication that a completely free plan is currently available. Intercom Fin does, however, offer a free trial for new users.

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AI Agents in Business: 50 Key 2025 Statistics and Insights

27 AI Chatbot Statistics for Businesses in 2025