Data & Statistics March 2026 • 12 min read

AI business statistics 2026: adoption, ROI & trends

Every key metric on AI adoption, ROI by industry, barriers to implementation, and the talent market — in one place. Updated 9 November 2026 with the latest data from CBS, Eurostat, Stanford HAI, BCG and Gartner, every figure linked to its source. If you want to act on this data, our AI marketing agency translates these benchmarks into concrete growth programs.

17%

of Dutch businesses (2+ staff) used AI in 2025

13% in 2024 • Source: CBS, 2025

33.21%

of Dutch businesses (10+ staff) use AI

EU 19.95%, 6th in the EU • Source: Eurostat, 2025

88%

of organizations worldwide used AI in 2025

55% in 2023 • Source: Stanford HAI AI Index, 2026

Ruud ten Have

Ruud ten Have

Updated: 9 November 2026 • Sources: CBS, Eurostat, Stanford HAI, BCG, Gartner, Techleap

AI adoption across businesses

AI adoption is accelerating, but from a lower base than often claimed. According to CBS, 17% of Dutch businesses with two or more employed persons used AI in 2025 (provisional), up from 13% in 2024 and 8% in 2023. Among businesses with 10 or more employed persons the share is 33%; Eurostat puts the Netherlands at 33.21% against an EU average of 19.95%, sixth in the EU. Mid-market teams get the most out of it when they build a dedicated AI marketing stack alongside their existing processes. For Dutch companies, how to become visible in AI answers: read more about our GEO agency (in Dutch).

17%

Use AI (NL, 2+ staff, 2025)

66%

Enterprises (250+ staff)

45%

Mid-sized (50 to 249 staff)

14%

Small businesses (2 to 9 staff)

Worldwide, 88% of organizations surveyed for the Stanford AI Index used AI in 2025, up from 55% in 2023, and 70% use generative AI in at least one business function (Stanford HAI AI Index, 2026). Using AI is not the same as earning from it: BCG's Applied AI Index 2026 finds that almost half of companies now generate value from AI, while in BCG's 2025 research only 5% generated substantial value (BCG Applied AI Index, 2026; BCG, 2025).

Dutch companies that use AI apply it most for marketing or sales (35%), business administration (32%) and R&D or innovation (25%), followed by production or service processes (18%), accounting (17%), ICT security (11%) and logistics (4%). By technology, 22% of businesses with 10+ staff used text mining and 16% natural language generation in 2025. A growing number of businesses are also experimenting with AI agents for more complex, multi-step tasks.

Sources: CBS, 2025, CBS, 2026, Eurostat, 2025

Where are businesses on their AI journey?

Most businesses are still early in their AI journey. In a Gartner poll of 3,412 webinar attendees (January 2025), only 19% had made significant investments in agentic AI.

No investment yet 8% of respondents
8%

No investment in agentic AI

Wait and see or unsure 31% of respondents
31%

Still orienting, no decision yet

Conservative investment 42% of respondents
42%

First, cautious investments

Significant investment 19% of respondents
19%

Substantial budgets committed

The gap between pilot and production remains the biggest pitfall. Gartner predicts that over 40% of agentic AI projects will be canceled by the end of 2027, due to escalating costs, unclear business value or inadequate risk controls. In BCG's July 2026 survey of 152 CEOs, nearly two-thirds pursue AI pilots, but only 26% have embedded AI in a broader business transformation and only 14% have clearly defined P&L impact for all AI initiatives. BCG's Applied AI Index 2026 classifies 7.5% of companies as "future-built" and a further 41% as actively scaling AI.

The key differentiator? Having a clear business case before writing a single line of code. Organizations that start with a well-defined problem statement and measurable KPIs consistently outperform those chasing technology for its own sake.

Sources: Gartner, 2025, BCG CEO survey, 2026, BCG Applied AI Index, 2026

AI ROI by industry

There is no reliable public figure for a three-year AI ROI per industry; the industry figures previously shown here could not be traced to a source and have been removed. What research does show is how far AI leaders are pulling ahead of laggards.

Revenue growth

2.4x

future-built vs. laggards

BCG Applied AI Index 2026

EBITDA growth

2.8x

future-built vs. laggards

BCG Applied AI Index 2026

Shareholder return

2.3x

future-built vs. laggards (TSR)

BCG Applied AI Index 2026

AI spend

3.3%

of revenue, up from about 1.7% in late 2025

BCG Applied AI Index 2026

Cost reduction

40%

greater cost reductions expected by leaders

BCG, 2025

EBIT margin

1.6x

leaders vs. laggards

BCG, 2025

Sources: BCG Applied AI Index, 2026, BCG, 2025. Multiples compare the most AI-mature companies with laggards; they show correlation, not a guaranteed return.

Barriers to AI adoption

Despite growing enthusiasm, businesses face real obstacles. Understanding these barriers is the first step to overcoming them.

73%

NL: lack of experience

49%

NL: privacy

42%

NL: legal consequences

70.89%

EU: lack of relevant expertise

52.52%

EU: unclear legal consequences

48.83%

EU: data protection and privacy

The knowledge gap dominates: 73% of Dutch companies that considered AI but do not use it cite lack of experience; across the EU, 70.89% of companies in the same situation cite lack of relevant expertise. About three-quarters of Dutch companies do not use AI and have not considered it, and 15% of companies without AI say it is not useful to them. Investing in AI training and upskilling programs can dramatically lower this hurdle.

For larger companies the barriers shift to execution: in BCG's CEO survey, 55% cite redesigning work around AI as a key barrier and more than half cite linking AI initiatives to the P&L.

The EU AI Act entered into force on 1 August 2024. Prohibitions applied from 2 February 2025, obligations for general-purpose AI from 2 August 2025, and the Act became generally applicable on 2 August 2026. After the AI Omnibus, high-risk rules follow on 2 December 2027 (Annex III) and 2 August 2028 (Annex I).

Sources: CBS, 2025, Eurostat, 2025, BCG CEO survey, 2026, European Commission, 2026. NL bars: share of Dutch companies (2+ staff) that considered AI but do not use it; EU bars: share of EU companies (10+ staff) in the same situation.

The AI startup ecosystem

No open source publishes a verifiable count of Dutch AI startups or Dutch AI funding; the figures previously shown here (startup count, funding, scale-ups by sector) could not be traced and have been removed. The global and European investment picture is well documented.

$344.7B

Private AI investment worldwide (2025)

+127.5% • Source: Stanford HAI AI Index, 2026

$20.9B

Private AI investment in Europe (2025)

US: $285.9B • Source: Stanford HAI AI Index, 2026

+71%

Newly funded AI companies (2025)

Source: Stanford HAI AI Index, 2026

Private AI investment, 2025

Metric Value Note
Global corporate AI investment $581.69B Record; more than doubled in 2025
Private AI investment $344.66B +127.5%, 60% of the total
United States $285.88B Largest by far
Europe $20.92B All European countries combined
China $12.41B Likely understated (government guidance funds)
Generative AI Nearly half Of all private AI funding; growth of more than 200%

For the Netherlands, Techleap reports that deep tech produced 41% of all scaleups and attracted 41% of total venture capital in 2025. Converting startups into scaleups remains the weak spot: the Dutch conversion rate is 21.2%, against 80.9% in the US. US investors took part in 40% of breakout rounds (EUR 50 to 100 million), while European participation fell to 21%.

Sources: Stanford HAI AI Index, 2026, Techleap, 2026

AI talent & job market

Demand for AI talent continues to outpace supply. The skills gap is one of the biggest challenges for the economy, and an opportunity for professionals willing to upskill. Many SMB teams bridge the gap by partnering with AI marketing specialists for SMBs rather than hiring in-house.

10.9

AI professionals per 10,000 inhabitants (NL, highest in Europe)

63.1%

NL recruiters of ICT specialists with hard-to-fill vacancies (EU 57.5%)

15.3%

NL companies recruiting ICT specialists (EU 9.55%)

300,000

Extra tech specialists the NL needs by 2030

Why ICT vacancies are hard to fill (2024, % of companies that recruited or tried to recruit ICT specialists, 10+ staff)

Reason Netherlands EU
Hard-to-fill vacancies (any reason) 63.1% 57.5%
Lack of applications 56.21% 43.24%
Applicants lack relevant ICT qualifications 50.77% 41.73%
Applicants lack relevant work experience 40.75% 40.9%
Salary expectations too high 38.93% 41.86%

AI is also reshaping the jobs themselves. BCG expects dedicated AI roles to grow from 7% of the workforce in 2026 to 22% by 2030, and companies expect a workforce reduction of roughly 10% to 15% by 2030; seven in ten future-built and scaling companies are already retraining staff. Tools like Claude Code are changing software development: employment for software developers aged 22 to 25 has fallen nearly 20% from 2024, according to the Stanford AI Index.

With qualified people this hard to find, many companies turn to AI-as-a-Service models, outsourcing implementation to specialized partners rather than building in-house teams from scratch.

Sources: Techleap, 2026, Eurostat, 2024, BCG Applied AI Index, 2026, Stanford HAI AI Index, 2026

AI hubs: the Netherlands as a case study

The Dutch AI industry is concentrated around four major hubs, each with its own specialization and ecosystem. It's a blueprint for how regional clusters drive innovation. No verifiable per-city counts of AI companies or funding are published, so the overview below is descriptive. For the country as a whole, Techleap counts 10.9 AI professionals per 10,000 inhabitants and 135,000 people employed in the Dutch tech ecosystem.

Amsterdam

Specialization: FinTech, MarTech, NLP

Ecosystem: UvA, VU, CWI, ELLIS

Eindhoven

Specialization: Computer Vision, Robotics, IoT

Ecosystem: TU/e, High Tech Campus, ASML

Delft

Specialization: Autonomous Systems, Robotics

Ecosystem: TU Delft, YES!Delft

Utrecht

Specialization: HealthTech, GovTech

Ecosystem: UU, UMC Utrecht, UtrechtInc

Specializations and institutions are descriptive. Source: Techleap, 2026

Case studies in numbers

The anonymized case studies previously shown here could not be verified and have been replaced by measured effects from published research.

Customer service

Customer support productivity

Studies compiled in the Stanford AI Index 2026 report productivity gains for AI-assisted customer support:

14-15%

Productivity gain

Software development

AI-assisted coding

The same studies report gains in software development, while entry-level developer employment is shrinking:

26%

Productivity gain

-20%

Employment, developers aged 22-25, since 2024 (nearly)

Marketing

AI-powered content & campaigns

Marketing shows the largest measured output gain, and it is also the most common use of AI in companies:

50%

More marketing output

35%

Of Dutch AI users use it for marketing or sales

34.70%

Same share in the EU

AI agents

Agentic AI by 2028

Gartner expects agents to spread fast, but also warns that many vendors overstate what they offer:

33%

Of enterprise software apps with agentic AI (2024: under 1%)

15%

Of day-to-day work decisions made autonomously

~130

Real agentic AI vendors among thousands

Sources: Stanford HAI AI Index, 2026, CBS, 2025, Eurostat, 2025, Gartner, 2025. Productivity figures are averages from individual studies and vary by task.

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FAQ: AI business statistics

What percentage of businesses use AI in 2026?
In 2025, 17% of Dutch businesses with two or more employed persons used AI (CBS, provisional), up from 13% in 2024. Among businesses with 10 or more employed persons the share is 33%; Eurostat puts the Netherlands at 33.21% against an EU average of 19.95%. Large enterprises (250+ employed persons) lead at 66%, small businesses (2 to 9) sit at 14%. Worldwide, 88% of organizations surveyed for the Stanford AI Index used AI in 2025.
What is the average ROI of AI implementation?
There is no reliable public figure for an average AI ROI or ROI per industry. BCG's Applied AI Index 2026 finds that almost half of companies now generate value from AI, and that the most AI-mature companies achieve 2.4x the revenue growth and 2.8x the EBITDA growth of laggards. AI spend rose from about 1.7% to 3.3% of revenue.
What are the biggest barriers to AI adoption?
Among Dutch companies that considered AI but do not use it, the biggest barriers are lack of experience (73%), privacy (49%) and legal consequences (42%) (CBS, 2025). Across the EU the picture is similar: lack of relevant expertise (70.89%), unclear legal consequences (52.52%) and data protection (48.83%) (Eurostat, 2025). About three-quarters of Dutch companies do not use AI and have not considered it.
How fast is the AI startup ecosystem growing?
No verifiable count of Dutch AI startups is published. Globally, private AI investment reached $344.66 billion in 2025 (+127.5%), of which $20.92 billion went to Europe, and the number of newly funded AI companies rose 71% (Stanford AI Index 2026). In the Netherlands, deep tech attracted 41% of all venture capital in 2025 (Techleap).
How much do AI specialists earn in 2026?
No reliable salary benchmarks per AI role are published in an open source, so we do not show them. What is measured is the shortage: 63.1% of Dutch companies that recruited ICT specialists in 2024 had hard-to-fill vacancies (EU 57.5%), and the Netherlands has Europe's highest AI talent density at 10.9 AI professionals per 10,000 inhabitants (Techleap, 2026).
Ruud ten Have

Ruud ten Have

Ruud is a digital marketer with 10+ years of experience in online advertising and AI implementation. At Searchlab, he combines strategic thinking with hands-on AI tooling to deliver measurable results for businesses.

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