Curious about the state of AI?
Below are the AI statistics that matter.
Top AI statistics
- Regular AI use is expanding, with 88% reporting consistent use in at least one business function, up from 78% the year before. (McKinsey & Company)
- Consumer trust remains strong: 65% trust businesses that adopt AI technology. (Forbes)
- By 2035, healthcare AI could reach $371.02B, up from $32.12B in 2025—a roughly 11.6× growth, with a 27.72% CAGR. (MRFR)
- Most marketers (88%) already depend on AI and in 72% AI will become even more central over the next five years. (SurveyMonkey)
- AI is now an operational priority for 87% of businesses, with just 13% don’t treat it as a priority. (IDCA)
- The AI tech market is forecast to rise from around $244B in 2025 to over $800B by 2030—an increase of about 3.3x (Statista)
- AI is projected to contribute about $15.7T to the world economy by 2030, underscoring the scale of its growing market. (NU)
- Most organizations remain early-stage: 66% have not yet scaled AI enterprise-wide.(McKinsey & Company)
AI in numbers: Growth, adoption, and budget priorities
AI is scaling across sectors, and top performers are committing serious digital budgets to it. Still, trust barriers mean autonomous AI remains more aspiration than reality for most companies.
- Global AI market size is projected to rise from $390.91B in 2025 to $3,497.26B by 2033, reflecting a 30.6% CAGR through 2026–2033. (Grand View Research)
- 100% of industries report growing AI usage, including mining and construction, reflecting broad belief in the business benefits of AI. (PWC)
- From 2023 to 2025, GenAI adoption grew from 6% to 30%, representing a 5x jump. (Capgemini)
- 35% of AI high performers allocate over 20% of their digital budgets to AI, compared with only 7% of other organizations—nearly a 5x gap. (McKinsey & Company)
| AI spend as % of digital budget | All other respondents (%) | AI high performers (%) |
| >20% | 7 | 35 |
| 16–20% | 8 | 10 |
| 11–15% | 10 | 20 |
| 6–10% | 20 | 25 |
| ≤5% | 44 | 6 |
- Trust remains a barrier: 71% of organizations say they’re not fully confident in autonomous AI agents for business use. (Capgemini)
- AI is evolving into a “digital teammate.” Around 60% of organizations aim to implement AI as a team member or AI supervisor within the next year, rising from 44% at present. (Capgemini)
- Employers are responding to AI in three ways: 50% plan to reorient their business, two-thirds will hire AI-skilled talent, and 40% anticipate staff reductions in roles AI can automate. (World Economic Forum)
- Following the release of ChatGPT in November 2022, AI investment flows expanded by about 8 times. (World Economic Forum)
- Europe’s AI market is forecast to hit €191B by 2030. (Statista)
AI across retail and e-commerce value chain
Retailers are investing heavily in AI across the entire value chain, from pricing optimization to customer journeys. But high tool costs and low consumer trust—especially in Europe—are limiting the full return on these initiatives.
- 51% of retail brands have adopted AI for 6 or more applications, touching nearly every part of the business—from content creation to predicting demand and personalizing customer journeys. (Neontri)
- By 2032, the worldwide market for AI in retail is forecasted to hit $85.07B. (Neontri)
- 46% of retailers identify high AI tool costs as a major obstacle to scaling AI efforts. (Neontri)
- In the United States, close to 60% of shoppers use ChatGPT to generate inspiration. (Statista)
- 61% of American consumers use Gemini or ChatGPT to support online shopping. (Statista)
- According to 73% of marketing agency executives in the U.S. and Canada, AI-powered personalization is the most important trend shaping 2025. (Statista)
- In the UK almost half of retail companies use generative artificial intelligence to improve the overall customer journey. (Statista)
- European consumers are skeptical about AI in retail, with approximately 90% believing it makes little difference to the overall shopping journey. (Statista)
- AI-driven recommendations are ignored by nearly 60% of shoppers. (Statista)
- In 2023, 50% of B2B e-commerce companies generating over $100 million annually used AI to optimize pricing for products or services. (Statista)
AI across banking & insurtech
Financial services has become the fastest-growing AI investment sector backed by accelerating investment across Europe and globally. The biggest wins are showing up in faster credit decisions and measurable operational savings, but customer trust still depends heavily on transparency and security.
- 92% of global banks have implemented AI in at least one core function, and 61% have adopted GenAI. (SAS Institute)
- Across Europe, 88% of banks have adopted AI to support credit scoring and/or fraud detection. (European Central Bank)
- 98% of banking executives expect to invest more in AI infrastructure, supporting broader automation goals. (Neontri)
- Financial services is now the fastest-growing sector globally in AI investment, with growth estimated at 29.6% CAGR. (Research Gate)
- In insurance, 47% of organizations have implemented AI across core functions as part of a broader strategy. (Neontri)
- The global AI banking market is set to expand almost 10x by 2034, reaching $379.41B (Precedence Research)
| Year | AI in banking market size (USD Billion) |
| 2025 | 34.58 |
| 2026 | 45.59 |
| 2027 | 60.10 |
| 2028 | 79.24 |
| 2029 | 104.46 |
| 2030 | 137.71 |
| 2031 | 181.54 |
| 2032 | 239.32 |
| 2033 | 315.50 |
| 2034 | 379.41 |
- AI investment in Europe’s banking sector is projected to nearly triple, rising from $7.24B in 2024 to $20.88B by 2028. (statista)
- AI dominated VC investment in 2025, receiving 58% of total venture capital. (SVB)
- AI spending in financial services totaled $35B in 2023 and is expected to climb to $97B by 2027 across banking, insurance, capital markets, and payments. (WEF)
- People are far more likely to trust AI when it feels transparent and secure—these factors account for 62% of customer trust levels. (Advances in Consumer Research)
- AI improved decision speed in credit workflows, reducing approval times by 77%—from up to 10 days to an average of 2.3 days. (journalwjarr)
- Implementing AI in customer service led to a 20% increase in consumer trust. (journalwjarr)
- AI has improved operational performance in banking, reducing processing delays by 16.8% and operational costs by 18.7%. (journalwjarr)
Keep learning
If you’re interested in exploring AI or GenAI success, check out these resources below:
