39 AI stats for 2025 - facts and insights

Have you ever wondered how many people actually use artificial intelligence? Well, according to Reuters, there are 400 million weekly active users of ChatGPT/OpenAI.  

Artificial intelligence stats like these give us invaluable information about how the world is taking the growth of AI. As AI continues to transform operations across all industries, there are big and small shifts in every aspect of business operations. 

Surveys show that a significant number of businesses have already adopted AI in their IT support desks, customer service desks, IT development, and other functions. Those that haven’t, are planning to, or aspire to. The generative AI stats show that people are exposed to these tools not just in the workplace but outside of work too, and over 20% use them regularly. 

This is a key element to the story that the stats about AI tell below – AI is permeating every aspect of life and changing the way we work, think and function. For IT professionals, there is a discernible shift in mindset that comes together with the shift in work methods. 

And the proof is in the results: according to GitHub, Atera, and others, AI is drastically reducing the time and cost of IT ticket resolution, and paving the way for increased productivity in helpdesk support and beyond.

Take a look at our roundup of the most compelling AI stats for 2025 across the IT landscape. From AI stats about helpdesks and AIOps, to AI stats about cybersecurity, you’ll get a good overview with our compilation of interesting AI stats:

AI stats 2025

• The global AI market is forecast to increase from $241.8 billion in 2023 to nearly $740 billion in 2030, representing a 17.3% compound annual growth rate. Statista
• Across all industries, it is estimated that generative AI could generate a potential value of $2.6 trillion to $4.4 trillion annually. McKinsey
• Companies classified as “AI high performers” are most likely to have adopted AI in four or more business functions. They are also 5X more likely to have spent over 20% of their digital budgets on artificial intelligence tools or practices. McKinsey
• 73% of CIO and tech executives have reported increased funding for AI. Gartner
• Global annual spending on IT products and services for AI-centric systems is expected to increase by 26.5% between 2022 and 2026, to over $300 billion. IDC
• In the IT/cybersecurity industry, 46% of surveyed businesses are leveraging generative AI in a limited or at-scale implementation. Deloitte 
• Automation and generative AI are regarded as the most relevant investment for business growth by 39% of companies. For 33%, flexible and hybrid work is the most important. Dell/IDC
• Among “AI high performer” companies, 25% say their complete system is equipped with an AI monitoring and alerting system, compared to 12% of other companies. McKinsey

Generative AI stats

• 52% of organizations with $500M or more have established a dedicated team to drive generated AI adoption, while just 23% of smaller organizations have a dedicated team. McKinsey 
• 90% of service providers say that generative AI is essential to achieving their business goals. However, just 22% of customer service providers have already adopted genAI. Amdocs
• Trust in GenAI is higher among C-suite (CxO) employees, with 21% of C-suite survey respondents reporting that they feel GenAI is already transforming their organization, compared to only 8% of non-C-suite respondents. Deloitte
• Only 1 percent of company executives describe their gen AI rollouts as “mature”. McKinsey
• 84% of organizations in the CSP Data, AI, and IT sectors say they face significant challenges in obtaining the necessary capabilities to effectively deploy genAI. Amdocs
• 40% of generative AI solutions will be multimodal by 2027. Gartner
• 27% of respondents whose organizations use gen AI say that employees review all content created by gen AI before it is used—for example, before a customer sees a chatbot’s response or before an AI-generated image is used in marketing materials (see full stats below). McKinsey
  
  

Image via McKinsey

• 20% or less of all gen-AI-produced content is checked before use. McKinsey

AIOps stats

• The global AIOps market size was valued at USD 1.87 billion in 2024 and is projected to grow to USD 2.23 billion in 2025 and to USD 8.64 billion by 2032. Fortune Business Insights
• IT/technology departments are the biggest adopters of AIOps, with 47% reporting that they use AI, followed by R&D (36%) and customer service (24%). Mordor Intelligence
• Europe currently has the largest share in the AIOps market, while Asia-Pacific is forecast as the fastest-growing region, with the highest estimated CAGR of AIOps expected from 2024 to 2029. Mordor Intelligence
• Among IT organizations that have implemented AIOps and a proactive approach to monitoring, they report a 15-45% reduction in high-priority incidents, 70-90% reduction in incident investigation time, and a 10-15% faster time to market for new applications. Splunk

AI IT helpdesk stats

• By 2027, IT helpdesk automation is forecast to have a market value of nearly $22 billion. Business Wire
• The average cost of an IT service desk call is between $20 to $100. Manual password resets account for 22% of service desk calls, at a cost of $22 each. Automation reduces the cost of password reset calls by around $1 million a year. BMC
• Generative AI is making developers 55% more productive. AI ticketing solves 30% of tickets at the outset, and gives back over 70,000 hours of productivity back to employees and agents. GitHub
• When tech support agents use AI tools for conversational scripts, productivity (number of issues resolved per hour) increases by an average of 14%. Stanford/MIT
• AI is capable of reducing the IT helpdesk average response time from the industry benchmark of 7 hours and 4 minutes to just 3 seconds. Atera

AI cybersecurity stats

• Companies that integrate generative AI with security behavior and culture programs in their platforms can expect to see a reduction of 40% of cybersecurity incidents originating from employees by 2026. Gartner
• 46% of business and cyber professionals say that their biggest concern about the impact of generative AI on cybersecurity is the increased capabilities in phishing, malware, and deepfakes. Statista
• Using AI and automation helped organizations reduce the costs of data breaches by $1.8 million and increase the speed of identification and containment of data breaches by an average of more than 100 days. IBM
• Less than a third (28%) of organizations are extensively using AI cybersecurity measures. IBM
• At least 3 data breaches will be attributed to AI generated code in 2024. Forrester
• Professionals in the cybersecurity space say they waste almost a third of their workday dealing with threats that are identified as false positives. 80% say that manually investigating threats slows down their workday, and nearly 40% say it slows them down a lot. IBM
• IBM’s AI-driven QRadar Cyber Assistant has been noted to reduce the number of false positives in cyber threats by an average of 90%, corresponding to a reduction in analyst worktime valued at $2.8 million. IBM

AI in the workplace stats

• 57% of IT decision makers think that generative AI is a gamechanger, and 33% said it was their top priority. Salesforce.
• 79% of business and technology leaders think that generative AI will substantially transform their business and industry within the next three years. And 27% predict a significant boost in productivity. Deloitte 
• Twenty-eight percent of respondents whose organizations use AI report that their CEO is responsible for overseeing AI governance McKinsey
• Among Forbes Global 2000 companies, 40% of current positions and job titles will be changed or eliminated by 2027 due to AI. Dell/IDC
• By 2026, enterprises will increase productivity to the value of $1 trillion by leveraging  personalized development of technology skills among their workforces. Dell/IDC
• Just 9% of IT leaders have a crystallized AI vision. Gartner
• 21% of respondents reporting gen AI use by their organizations say their organizations have fundamentally redesigned at least some workflows. McKinsey

Experience the change AI is creating for millions of businesses

These AI statistics offer a valuable snapshot of how rapidly artificial intelligence is shaping the business landscape—from IT operations to customer support, cybersecurity, and beyond. Whether you’re exploring the pros of AI for productivity gains or reviewing current stats about AI to guide budget decisions, staying up to date with the latest data on artificial intelligence is essential. These AI stats should help you understand emerging trends, identify areas for innovation, and keep your organization ahead of the curve.

At Atera, we’re at the forefront of helping companies use AI to transform the way they manage their IT networks. From AI-powered ticketing to automated support and proactive monitoring, our tools help MSPs and IT departments unlock the true potential of automation. 

Our agentic AI tool, Copilot, is changing IT automation by streamlining ticketing, automating repetitive tasks, and providing real-time insights—freeing up IT teams to focus on strategic work. It’s a smarter, faster way to manage IT operations.

Curious to see how it all works for yourself? Try out Atera and our full suite of AI tools with a 30-day free trial and experience the difference.