Welcome to our curated and vetted list of 88+ AI statistics for 2026.
Let’s dive in:
Top Artificial Intelligence Statistics
- By 2030, AI could add as much as $13T to the global economy.
- The global AI market was worth $390.9B in 2025 and is set to hit $3.5T by 2033, growing at a 31.5% CAGR.
- AI was projected to replace 85M jobs by 2025, according to the World Economic Forum.
- 77% of workers worldwide say their company uses AI.
- AI adoption jumped from 55% in 2023 to 78% of businesses in 2024.
- A significant 72% of business leaders think generative AI will boost team productivity.
- Roughly 30% of IT professionals worldwide note their organization’s employees save time using AI and automation tools.
- 79% of people in the US use AI constantly or multiple times a day.
AI Market Size, Growth Rates, Investment, Leading Players, and More
- OpenAI’s gen AI tools reached 100M+ users in just two months.
- ChatGPT is the top gen AI tool (52%), ahead of Gemini (30%) and Copilot (20%).
- From Sept 2024 to Sept 2025, ChatGPT held 81.12% of the market, with Perplexity at 10.85% and Copilot at 4.04%.
- ChatGPT use is lower in the US (45%) vs. the UK (55%), Canada (56%), and Australia (58%).
- Gen AI is mostly used to answer questions or explain complex topics (42%), then for learning (33%), and writing or drafting (31%).
- In 2025, the US was the world’s largest AI market at $46.99B.
- The global AI market will hit 582.95T in 2024, nearing $2T by 2030, with a CAGR of 32.9% from 2022 to 2030.
| Global AI Market Size: 2021–2030 | In Million USD |
| 2021 | 95,602.77 |
| 2022 | 142,319.80 |
| 2023 | 207,902.42 |
| 2024* | 298,246.87 |
| 2025* | 420,465.53 |
| 2026* | 582,948.69 |
| 2027* | 795,384.63 |
| 2028* | 1,068,718.47 |
| 2029* | 1,415,054.84 |
| 2030* | 1,847,495.60 |
- The global explainable AI market was worth an estimated $9.39B in 2025 and is expected to surpass $24B by 2030.
| Global Explainable AI Market Revenues: 2022–2030 | In Billion USD |
| 2022 | 5.10 |
| 2023* | 6.28 |
| 2024* | 7.70 |
| 2025* | 9.39 |
| 2026* | 11.43 |
| 2027* | 13.87 |
| 2028* | 16.81 |
| 2029* | 20.33 |
| 2030* | 24.58 |
- In 2024, the global generative AI market hit $37.87B, up $32.36B since 2020. It’s projected to grow by another $404.2B by 2031.
- In 2024, the global machine learning market hit $77.13B—up $27.61B since 2020. It’s set to grow another $491.19B by 2031.
- In 2024, the global NLP market hit $39.79B, up $26.41B since 2020. It’s projected to grow by $161.7B by 2031.
- The global AI robotics market topped $17B in 2024, up nearly 30% from 2023, and is projected to reach $100B by 2031, growing about 20% annually.
- The market for AI products and services is estimated to reach a value between $780B and $990B by 2027.
- The US topped the 2024 government AI readiness index with a score of 87.03, ahead of Singapore, South Korea, and France.
- In 2024, US private AI investment hit $109.1B, 12x China’s and 24x the UK’s.
- Generative AI drew $33.9B in private investment in 2024, up 18.7% from 2023.
- Accenture says AI could add $461B to global healthcare by 2035, pushing it past $2.26T.
- Netflix values its personalized recommendation engine at $1B annually.
- In 2024, US institutions built 40 major AI models, far ahead of China’s 15 and Europe’s 3.
- In 2024, global corporate AI investment reached $252.3B, up 44.5% in private funding and 12.1% in M&A—marking a 13x+ rise since 2014.
Sources: Attest, Allied Market Research, Bain & Company, Business Insider, Grand View Research, Next Move Strategy Consulting, Nasdaq, Stanford, Statista, Statcounter, Semrush, KPMG
Workers’ Perceptions of AI and Its Impact on Jobs
- 57% of employees admit to hiding their AI use or passing off AI-generated work as their own.
- 56% of employees say AI use has led them to make mistakes at work.
- 65% of employees under 35 admit to careless or improper AI use at work.
- Nearly half (49%) of workers using AI have entered confidential or protected content into public tools.
- 72% of workers under 35 use AI.
- 58% of employees regularly and intentionally use AI at work.
- Among US workers, 15% use AI daily, 11% weekly, 15% occasionally, and 58% not at all.
- 20% of men use AI daily at work vs. 10% of women.
- 66% of women don’t use AI, compared to 52% of men.
- Most people (64%) think AI will reduce jobs in 20 years, but only 39% of AI experts share that view.
- Over half (56%) of workers are uneasy with AI assisting HR in hiring and performance evaluations.
- About 54% of AI users at organizations today are IT professionals, making them the predominant user group.
| Leading User Groups of AI in Organizations | In % |
| IT professionals | 54 |
| Data engineers | 35 |
| Developers and data scientists | 29 |
| Security professionals | 26 |
| Customer service professionals | 25 |
- In the US, AI job listings grew to 1.8% of the market in 2024.
- In the US, the estimated total pay for an AI Engineer is between $110–176K annually, with a median salary of $138K.
- 60% of workers think AI will reshape their jobs in five years, but only 36% fear replacement.
- In 2024, AI-skilled workers earned 56% more on average.
- 53% of C-level execs use gen AI regularly, compared to 44% of midlevel managers.
- Currently, 57% of consumers fear AI-driven job losses—down from 59% in 2024.
- 91% of Indian workers use AI and 81% trust it, compared to only 39% and 33% in the Czech Republic.
Sources: Attest, Glassdoor, IBM, KPMG, McKinsey, NORC, Pew Research Center, PwC, Stanford, SurveyMonkey, Statista
Global Adoption of AI in Business
- In 2024, 84% of businesses viewed AI positively.
- 87% of global firms think AI will give them a competitive edge.
- 83% of execs say AI is a top strategic focus for their business.
- As of July 2024, 78% say their company uses AI—up from 72% earlier in the year and 55% in 2023.
- 94% of business leaders concur that AI is essential for a company’s future success.
- 43% of AI adoption is driven by advancements that increase its accessibility.
| Key Drivers of AI Adoption | In % |
| Advancements in AI that make it more accessible | 43 |
| Need to reduce costs and automate key processes | 42 |
| Increasing amount of AI embedded into standard off-the-shelf business applications | 37 |
| Competitive pressure | 31 |
| Pressure from consumers | 25 |
| Directives from leadership | 23 |
| Company culture | 22 |
| Labor or skills shortages | 22 |
| Environmental pressures | 20 |
- Limited AI skills, expertise, or knowledge (34%) is the main barrier to successful AI adoption.
| Challenges Hindering AI Adoption | In % |
| Limited AI skills, expertise, or knowledge | 34% |
| Price is too high | 29 |
| Lack of tools or platforms to develop models | 25 |
| Projects are too complex or difficult to integrate and scale | 24 |
| Too much data complexity | 24 |
- A lack of properly skilled employees for new AI and automation tools is a challenge for 19% of companies.
- Around 35% of organizations report actively training and reskilling employees to adapt to new AI and automation software and tools.
- A quarter of companies turn to AI as a solution for labor or skills shortages.
- One of the primary ways organizations use AI to tackle labor or skill shortages is by minimizing manual or repetitive tasks (65%).
| How Companies Employ AI to Tackle Labor or Skill Shortages | In % |
| Reduce manual or repetitive tasks | 65 |
| Increase employee learning and training | 50 |
| Improve recruiting and human resources | 45 |
| Address skills gap with low-code or no-code tools | 35 |
- 54% of organizations report cost savings and increased efficiency from AI-driven process automation, with 53% noting improved IT or network performance and 48% experiencing enhanced customer experiences.
- 66% of companies use or plan to use AI to achieve sustainability objectives.
- Since GenAI took off in 2022, productivity in AI-heavy sectors jumped from 7% to 27%, while low-AI industries saw a dip from 10% to 9%.
- Just 8% of firms reported AI incidents in 2024, and 42% of those had only one or two cases.
- AI boosts customer support agents’ issue resolution rate by 14.2%.
- AI helps developers complete tasks 26.08% faster on average.
- High AI integration boosts the odds of strong productivity gains to 72%.
- Wage growth is 2x faster in AI-exposed industries than in low-AI sectors.
- AI-exposed roles saw a 38% increase in job openings from 2019 to 2024.
- AI workloads are set to grow 25–35% annually through 2027.
- 75% of executives say AI will help them enter new markets or launch new ventures.
- AI could boost business productivity by up to 40% by 2035.
- 95% of recruiters think AI will significantly improve hiring and retention.
- Text is the top gen AI output (63%) in organizations, followed by images (36%) and code (27%).
Sources: Bain & Company, BCG, Cisco, Goldman Sachs, IBM, McKinsey, PwC, Statista, Stanford
How Americans Feel about AI
- From 2022 to 2024, the share of people seeing AI as mostly beneficial grew from 52% to 55%.
- 66% globally believe AI will impact daily life within 3–5 years, rising six points since 2022, with big jumps in Canada and Germany.
- AI optimism is highest in China (83%), Indonesia (80%), and Thailand (77%), but much lower in the US (39%), Canada (40%), and the Netherlands (36%).
- 72% of Americans know about chatbots.
- Most Gen AI users (68%) trust its output, and 14% place full trust in it.
- 43% of consumers worry about AI privacy and security.
- 56% of AI experts see a positive long-term impact on the US, vs. only 17% of the general public.
- 76% of AI experts believe AI will benefit them personally, while only 15% foresee harm. In contrast, 43% of the public expect personal harm from AI, just 24% see benefits, and 33% are unsure.
- 64% of the public expect AI to cut jobs long-term, but only 39% of AI experts agree.
- 56% of the public is highly concerned about AI-related job loss, versus just 25% of AI experts.
- 66% of adults and 70% of AI experts are deeply concerned about AI spreading inaccurate information.
- 57% of the public fear AI weakens human connection, while only 37% of AI experts agree.
- 72% of people worldwide accept AI use, despite lingering concerns.
- 60% of people feel confident using AI.
- 70% of the public believes AI needs regulation.
- 75% of people have seen or experienced various benefits from using AI.
Sources: Attest, Pew Research Center, Stanford, KPMG
Keep Exploring
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Stacking It All Up
That concludes our deep dive into AI statistics.
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