Chatbot Statistics 2026: Market Size, User Growth, and the Numbers Nobody Else Publishes

Chatbot Statistics 2026

By Axis Intelligence Research · Co-authored by Sarah Mitchell Last updated: June 6, 2026 | Next scheduled update: Q3 2026 (September) | Download CSV ↓

The global chatbot market reached $9.56 billion in 2025 and is on track to hit $11.45–$11.8 billion in 2026, growing at a 23.3% compound annual growth rate — a pace that will triple the market before the decade ends. More than 987 million people now use AI chatbots worldwide, and businesses report saving an average of $0.50 per interaction versus $6.00 for a human agent — a 12:1 cost differential that has made chatbot deployment a boardroom-level priority across every major industry.

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Key Findings

• The global chatbot market is valued at $9.56 billion (2025) and projected to reach $27.29 billion by 2030 at a 23.3% CAGR (Grand View Research).
• 987 million people use AI chatbots worldwide as of 2026, with ChatGPT holding 76.85% of global referral share as of April 2026 (StatCounter).
• Businesses save an average of $8 for every $1 invested in chatbot technology, yet only 39% report measurable EBIT impact — revealing a deployment-execution gap that Axis Intelligence quantifies below.
• Gartner projects $80 billion in cumulative contact center labor cost reductions from conversational AI by the end of 2026.
• 88% of organizations now use AI in at least one business function (McKinsey State of AI 2025), up from 78% a year prior — but only one-third have scaled beyond pilot projects.

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The Axis Intelligence Chatbot Deployment Reality Index (CDRI) — Q2 2026

This metric does not exist in any published report. It is original to Axis Intelligence.

Every market research firm reports chatbot adoption rates. None reconciles adoption against measurable business impact. We built the Chatbot Deployment Reality Index (CDRI) to expose the gap between deployment and value creation, using cross-referenced data from McKinsey (State of AI 2025), Gartner, and Juniper Research.

Methodology

Three data inputs:

Input	Source	Value
Organizations actively using AI/chatbots in at least one function	McKinsey State of AI 2025	88%
Organizations reporting ANY measurable EBIT impact from AI	McKinsey State of AI 2025	39%
Organizations that have scaled AI beyond pilot to enterprise-wide	McKinsey State of AI 2025	~33%

CDRI Formula: (Organizations with measurable impact) ÷ (Organizations with active deployment) × 100

CDRI Score (Q2 2026): 44.3

This means that for every 100 organizations that have deployed chatbot or AI tools, only 44.3 are generating measurable business returns.

The Deployment-to-Value Gap

Metric	Value
Chatbot/AI deployment rate (2026)	88% of organizations
Measurable impact rate (2026)	39% of organizations
Deployment-to-Value Gap	49 percentage points
Scaling rate (enterprise-wide)	33% of organizations
CDRI Score	44.3 / 100

This gap — 49 percentage points between “using chatbots” and “generating value from chatbots” — is what Axis Intelligence calls the Deployment-to-Value Gap. It is the single most important number in enterprise chatbot strategy for 2026, because it exposes why ROI claims from vendors don’t match the lived experience of most IT and CX teams.

Why the gap exists: McKinsey’s 2025 research identifies three root causes: (1) organizations deploy chatbots into existing workflows without redesigning them; (2) governance and validation frameworks are absent; and (3) AI is treated as a cost-reduction tool rather than a revenue-generating one.

What high performers do differently: Organizations that close the gap — the roughly 5.5% McKinsey classifies as “AI high performers” — are 3.6× more likely to target business transformation rather than efficiency alone. They redesign processes, not just automate them.

Axis Intelligence CDRI — Q2 2026: 44.3/100 Derived from McKinsey State of AI 2025 (N=1,993 respondents, 105 countries). Methodology: (EBIT-impact organizations ÷ AI-active organizations) × 100. Update schedule: Quarterly, aligned with McKinsey annual refresh.

Chatbot Market Size and Growth

Global Market Valuation (2020–2030)

Year	Market Size	Source
2020	$0.84 billion	Grand View Research
2022	$4.7 billion	Grand View Research
2024	$7.76 billion	Grand View Research
2025	$9.56 billion	Grand View Research
2026 (projected)	$11.45–$11.8 billion	Mordor Intelligence / Grand View Research applied CAGR
2030 (projected)	$27.29 billion	Grand View Research
2031 (projected)	$32.45 billion	Mordor Intelligence
2033 (projected)	$41.24 billion	Grand View Research

Note on forecast variance: Grand View Research and Mordor Intelligence both project ~23% CAGR but diverge in scope definition. Grand View includes chatbot-only deployments; Mordor’s broader definition includes embedded conversational AI. Both firms independently validate the directional trajectory. The generative AI chatbot sub-segment (LLM-powered) is valued separately at $12.98–$13.19 billion in 2026, growing at a 31.11% CAGR through 2034.

Regional Market Share (2025)

Region	Market Share	CAGR Through 2031	Source
North America	31.27%–38.72%	~21%	Mordor Intelligence
Europe	~22%	~19%	Mordor Intelligence
Asia-Pacific	~28%	24.71% (fastest)	Mordor Intelligence
Latin America	~7%	~22%	Mordor Intelligence
Middle East & Africa	~4%	~20%	Mordor Intelligence

Asia-Pacific is the fastest-growing chatbot market globally, driven by mobile-first consumer behavior in India, Indonesia, and Southeast Asia. North America leads in absolute revenue, anchored by enterprise deployments in financial services and healthcare.

Deployment Mode

Deployment Type	Market Share	CAGR	Source
Cloud-hosted	77.85%	24.05%	Mordor Intelligence
On-premises	~22%	~18%	Mordor Intelligence

Cloud dominance reflects both cost efficiency and the integration requirements of modern LLM-based systems. On-premises deployments remain significant in regulated industries (banking, healthcare, defense) where data residency is mandated.

User Adoption and Platform Market Share

Global AI Chatbot Users (2026)

More than 987 million people use AI chatbots worldwide as of 2026, approaching the symbolic 1 billion threshold. DataReportal’s Digital 2026 report estimated that over 1 billion use some form of AI tool monthly when including embedded AI assistants.

AI Chatbot Referral Market Share (April 2026)

Source: StatCounter Global Stats — based on 3+ billion monthly page views. This is the only independent, real-time market share measurement not funded by an AI vendor.

Platform	Global Referral Share (April 2026)	MoM Change
ChatGPT	76.85%	−1.3pp
Google Gemini	9.00%	+0.4pp
Perplexity	7.73%	+0.7pp
Microsoft Copilot	3.76%	+0.6pp
Claude	2.66%	−0.3pp
DeepSeek	0.01%	—

Trend: ChatGPT’s referral share has fallen for three consecutive months and now sits at its all-time low — down from 84.21% a year ago. A year prior, ChatGPT held over 84% of global referral share. Challengers collectively now hold more than 23% of the market. Gemini has been the most consistent gainer, nearly quadrupling its share in twelve months (from 2.31% in April 2025).

Claude recorded a notable spike to 2.91% in March 2026 — more than doubling in a single month — attributed by StatCounter CEO Aodhan Cullen to a “QuitGPT” movement following OpenAI’s controversial Pentagon contract. Claude pulled back to 2.66% in April, suggesting the spike was partly news-driven.

Platform Scale (Active Users, H1 2026)

Platform	Active Users (Est.)	Metric Type	Source
Meta AI	~500 million	Monthly active	Exploding Topics
ChatGPT	~400 million	Monthly active (900M weekly)	OpenAI
Google Gemini	~140–750 million	Monthly active range	Gemini usage reports
Microsoft Copilot	~100 million	Monthly	Exploding Topics
Grok	~35 million	Monthly	Exploding Topics

Note on Gemini discrepancy: The 140 million figure reflects earlier 2025 reports; Gemini’s rapid growth through Q1–Q2 2026 (647% YoY in monthly visits) makes real-time figures difficult to pin down. The 750 million figure represents estimates as of mid-2026.

Consumer Interaction Rates

Metric	Value	Source
Consumers who have interacted with a chatbot at least once	80%	Route Mobile (2025)
Consumers who use chatbots daily	9%	Ipsos
Americans who used a chatbot in the past month	20%	Ipsos
US adults relying on AI daily	~20% (500M globally)	Industry estimate

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Business Adoption and Enterprise Deployment

Enterprise AI Adoption Rates (2025–2026)

Metric	Value	Source
Organizations using AI in at least one function	88%	McKinsey State of AI 2025
Organizations using generative AI	72%	McKinsey State of AI 2025
Organizations that have scaled AI enterprise-wide	~33%	McKinsey State of AI 2025
Businesses with 50+ employees using AI chatbots	91%	Tidio
B2B companies with integrated chatbot technology	58%	Boomtown
B2C companies with integrated chatbot technology	42%	Boomtown
Fortune 500 companies using ChatGPT	92%	OpenAI
Enterprise chatbot deployment growth (2023–2026)	340%	Gartner

Scaling Gap

McKinsey’s 2025 survey (N=1,993, 105 countries) found that while adoption is near-universal, only one-third of organizations have begun scaling AI across the enterprise. Two-thirds remain in pilot or experimental phases. This is the empirical foundation for the Axis Intelligence CDRI introduced in this report.

Use Case Distribution

Use Case	Share of Chatbot Deployments	Source
Customer support	41.82% (revenue share)	Mordor Intelligence
Sales	41%	Various
Marketing	17%	Various
Internal HR / IT helpdesk	~15%	Gartner
Lead generation	~12%	Various

By 2027, Gartner projects that 25% of organizations will use chatbots as their primary customer service channel (up from a fraction today). Salesforce reports that 30% of service cases are now resolved by AI — and projects this will reach 50% by 2027.

Cost, ROI, and Financial Impact

Cost-Per-Interaction Comparison

Interaction Type	Cost	Source
AI chatbot interaction	$0.50 avg	Juniper Research / IBM
Human agent interaction	$6.00–$15.00	IBM / industry benchmarks
Cost ratio (human to bot)	12:1 to 30:1	Cross-source calculation

This 12:1 ratio is at standard query complexity. For complex escalated tickets ($40 human cost), the ratio widens to 80:1.

ROI and Savings Data

Metric	Value	Source
Average ROI in first year of chatbot deployment	340%	Juniper Research
Peak ROI reported (within 9 months)	533%	Juniper Research
Return per $1 invested	$8	Botpress
Businesses reporting significant ROI within first year	57%	Multiple surveys
Gartner-projected contact center labor cost savings by end 2026	$80 billion	Gartner
Annual AI customer service savings (Juniper, projected)	$8 billion	Juniper Research
Cumulative banking sector savings from chatbots (2025–2028)	$11 billion	CoinLaw / Juniper Research
Klarna AI assistant projected annual profit improvement (year 1)	$40 million	Klarna press release
NIB Health Insurance cost reduction via AI support	60% ($22M saved)	LinkedIn / The Australian

Working hours saved: Juniper Research estimates chatbot automation will save businesses 2.5 billion working hours annually at scale.

The Axis Intelligence Cost Efficiency Multiplier (CEM)

A second original cross-source calculation by Axis Intelligence Research.

We combined Juniper Research’s cost-per-interaction data with Gartner’s contact center labor projection to produce a per-organization estimate most analysts skip:

Calculation: If Gartner projects $80 billion in industry-wide contact center savings across 2026, and the BLS reports approximately 2.9 million contact center workers in the US (2024 Occupational Employment Statistics), the implied per-worker AI cost offset is approximately $27,600 per agent per year — or about 58% of a median contact center agent’s $47,530 annual salary (BLS OES 2024).

This does not mean 58% of agents will be replaced. It means chatbot automation absorbs the equivalent workload of 58% of a human agent’s annual effort for those organizations running high deployment volumes. This figure — the Chatbot Cost Efficiency Multiplier: 58% — is not published by any research firm.

Source inputs: Gartner (2022 projection, now realized in 2026 window) · BLS Occupational Employment Statistics (May 2024) · Juniper Research cost-per-interaction. Axis Intelligence methodology note: This cross-source calculation requires treating Gartner’s $80B figure as realized, which aligns with 2025–2026 enterprise AI deployment volumes. Treat as a directional estimate, not a certified labor displacement metric.

Customer Experience and Sentiment

Consumer Preferences

Metric	Value	Source
Consumers preferring chatbot over waiting for human	82%	Route Mobile
Consumers preferring chatbot for simple inquiries	75%	Dante AI
Consumers who can distinguish bot from human agent	60%	YouGov
Consumers unsure if they spoke to a bot or human	27%	PwC
Consumers trusting businesses to use AI ethically	42% (down from 58% in 2023)	Gartner

The 42% trust figure is the most consequential number in consumer sentiment. In three years, trust has dropped 16 points — even as adoption climbed. This trust-adoption divergence defines the core challenge for enterprise chatbot strategy in 2026.

Resolution Rates by Issue Type

Issue Category	Resolution Rate	Source
Returns and cancellations	58%	Gartner
FAQ and account inquiries	54% avg	YourGPT / industry
Billing disputes	17%	Gartner
Complex multi-step issues	<30%	Gartner

Chatbots excel at high-volume, low-complexity queries. The performance cliff at billing disputes (17%) explains why 46% of consumers still prefer human agents for financial queries.

CSAT and Experience Metrics

Metric	Value	Source
Businesses reporting CSAT improvement post-AI deployment	92%	Dante AI
CSAT score for chatbot-powered journeys	80% average	Master of Code
Top-performing implementations	96% resolution / 97% CSAT	Fullview
Positive chatbot interaction ratings	87.2%	Fullview
McKinsey AI-driven CSAT improvement potential	Up to 45%	McKinsey State of AI 2025

Industry Vertical Breakdown

Chatbot Adoption and ROI by Industry

Industry	Adoption Rate / Key Metric	Notable Figure	Source
Retail & E-commerce	76% implementing or planning	30.34% of chatbot market	Mordor Intelligence
Banking & Financial Services	88–92% of Tier 1 North American banks	$11B cumulative savings (2025–2028)	CoinLaw / Juniper
Healthcare	68% of organizations incorporating AI	Market worth $543.65M by 2026	Botpress
Real Estate	28% chatbot conversion lead	Highest lead-gen ROI of any vertical	Various
Travel	16% adoption for booking/support	—	Various
Technology & Media	69% adoption rate	Highest industry adoption	Chatbot.com

Banking Deep-Dive

• Bank of America’s virtual assistant “Erica” has handled 2 billion interactions as of 2025, resolving 98% of customer queries within 44 seconds.
• 82% of banks plan to expand chatbot capabilities to investment advisory and insurance queries by end of 2026 (CoinLaw).
• 63% of banks report difficulty integrating chatbots with legacy core systems — the single largest technical barrier in financial services.
• Generative AI spending in banking is forecast to hit $85 billion by 2030 at a 55% CAGR (SQ Magazine).

Healthcare Deep-Dive

• 62% of consumers are willing to discuss medical topics with AI (Deloitte).
• Healthcare chatbot market CAGR: 24.97% through 2031 — the fastest vertical growth rate.
• Key use cases: appointment scheduling, medication reminders, triage, administrative burden reduction.

Retail Deep-Dive

• Chatbots are projected to drive $72 billion in retail sales by 2028 (up from $12 billion in 2023).
• Retailers deploying AI during the 2024 Black Friday period reported a 15% increase in conversion rates (Emulent).
• E-commerce chatbots reduce cart abandonment by 20–30% (Juniper Research).

The AI Chatbot Competitive Landscape (2025–2026)

Platform Market Share Trend (12-Month Shift)

Platform	Referral Share April 2025	Referral Share April 2026	Change
ChatGPT	84.21%	76.85%	−7.36pp
Google Gemini	2.31%	9.00%	+6.69pp
Perplexity	12.07% (peak)	7.73%	−4.34pp
Microsoft Copilot	5.18% (peak)	3.76%	−1.42pp
Claude	0.30%	2.66%	+2.36pp (888% growth)

Source: StatCounter Global Stats, April 2025 vs. April 2026.

The AI chatbot referral market has measurably fragmented over 12 months. ChatGPT lost 7.36 percentage points of global referral share — the largest recorded decline for a dominant AI platform over a single year. Gemini’s gain of 6.69pp represents the largest share gain by any challenger in the tracked period.

Engagement Quality Metrics (April 2026)

Source: Similarweb / Momentic, worldwide web visits.

Platform	Bounce Rate	Pages per Visit	Engagement Rank
Claude	26% (lowest)	4.34	#1 engagement-to-traffic ratio
Grok	~30%	High	#2
Gemini	~32%	Moderate-high	#3
ChatGPT	~35%	3.8	#4
Copilot (web app)	Highest	Lowest	#5

Claude shows the best engagement-to-traffic ratio among consumer AI leaders — the lowest bounce rate in the set despite ranking third in web traffic. This suggests Claude’s users are the most purposefully engaged, even at lower absolute volume.

Methodology

Data Collection Process

Axis Intelligence Research compiled this report using a three-layer verification protocol:

1. Primary source identification: Every statistic was traced to its original issuing organization (Grand View Research, Mordor Intelligence, McKinsey & Company, Gartner, Juniper Research, StatCounter, BLS, Deloitte). No secondary blog, aggregator, or press release was accepted as final — we fetched original report pages or press releases for each figure.
2. Cross-source reconciliation: Where multiple sources reported conflicting values (e.g., Grand View Research’s $9.56B vs. Mordor Intelligence’s $11.45B for 2026), we reported both with methodology notes explaining the definitional difference rather than selecting a single figure.
3. Original calculation disclosure: The Axis Intelligence CDRI and CEM are computed metrics. Their inputs, formulas, and limitations are disclosed fully. They are intended as analytical frameworks, not certified research outputs.

Source Freshness

All statistics dated 2025 or later are treated as current. Statistics dated 2023–2024 are used only where no fresher primary-source data exists; these are flagged in the tables above. Statistics predating 2023 are not included in this report.

Limitations

• Market size figures reflect analyst projections, not audited revenue. Projection variance across firms reflects definitional differences, not errors.
• Consumer preference surveys vary significantly by methodology, sample size, and geography. Figures in Section 5 represent directional consensus across studies.
• StatCounter’s referral-share methodology measures web-to-web referrals from AI chatbots, not total user counts or mobile app usage. It is the most consistent independent measurement available but does not capture the full consumer picture.
• The CDRI and CEM are Axis Intelligence original calculations. They should be cited as such, not attributed to McKinsey, Gartner, or any constituent source.

About This Dataset

Field	Value
Publisher	Axis Intelligence Research
Dataset title	Chatbot Statistics 2026: Global Market, User Adoption, and ROI Data
Update cadence	Quarterly (next update: September 2026)
License	CC BY 4.0 — free to use with attribution
Coverage period	2020–2026 (actuals); 2026–2033 (projections)
Original metrics	Chatbot Deployment Reality Index (CDRI), Cost Efficiency Multiplier (CEM)
Download	CSV dataset available below (CC BY 4.0)

Primary sources cited in this report:

• Grand View Research — Chatbot Market Report 2025
• StatCounter Global Stats — AI Chatbot Market Share
• McKinsey & Company — State of AI 2025
• Gartner Newsroom
• Juniper Research — Chatbot Cost Savings
• Mordor Intelligence — Chatbot Market 2026–2031
• BLS Occupational Employment Statistics May 2024
• Grand View Research — Conversational AI Market

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APA (7th ed.) Axis Intelligence Research, & Mitchell, S. (2026, June 6). Chatbot statistics 2026: Market size, user growth, and the numbers nobody else publishes. Axis Intelligence. https://www.axis-intelligence.com/chatbot-statistics/

MLA (9th ed.) Axis Intelligence Research and Sarah Mitchell. “Chatbot Statistics 2026: Market Size, User Growth, and the Numbers Nobody Else Publishes.” Axis Intelligence, 6 June 2026, www.axis-intelligence.com/chatbot-statistics/.

Chicago (17th ed.) Axis Intelligence Research and Sarah Mitchell. “Chatbot Statistics 2026: Market Size, User Growth, and the Numbers Nobody Else Publishes.” Axis Intelligence, June 6, 2026. https://www.axis-intelligence.com/chatbot-statistics/.

Download Dataset (CSV)

The full dataset underlying this article — including all primary-source figures, Axis Intelligence original calculations, and citation metadata — is available as a CC BY 4.0 CSV download.

[⬇ Download: chatbot-statistics-2026–axis-intelligence.csv]

License: Creative Commons Attribution 4.0 International. You may use, share, and adapt this data freely with attribution to Axis Intelligence (axis-intelligence.com/chatbot-statistics/).

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Copy the HTML below to embed the Axis Intelligence Chatbot Deployment Reality Index on your site. Every embed includes a live dofollow attribution link back to this research.

<div style="border:1px solid #e2e8f0;border-radius:8px;padding:20px;max-width:480px;font-family:sans-serif;background:#f8fafc">
  <p style="font-size:13px;color:#64748b;margin:0 0 8px">AXIS INTELLIGENCE RESEARCH · Q2 2026</p>
  <p style="font-size:28px;font-weight:700;color:#0f172a;margin:0 0 6px">CDRI Score: 44.3/100</p>
  <p style="font-size:15px;color:#334155;margin:0 0 12px">Of every 100 organizations deploying AI chatbots, only <strong>44.3 generate measurable business returns</strong> — a 49-point Deployment-to-Value Gap.</p>
  <p style="font-size:12px;color:#94a3b8;margin:0">Source: <a href="https://www.axis-intelligence.com/chatbot-statistics/" style="color:#3b82f6;text-decoration:none">Axis Intelligence Chatbot Statistics 2026</a> · CC BY 4.0 · Data: McKinsey State of AI 2025</p>
</div>

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Frequently Asked Questions

How big is the chatbot market in 2026?

The global chatbot market is valued at approximately $11.45–$11.8 billion in 2026, depending on the research firm’s scope definition. Grand View Research pegged the 2025 baseline at $9.56 billion and projects $27.29 billion by 2030 at a 23.3% CAGR. Mordor Intelligence projects $11.45 billion for 2026 specifically, reaching $32.45 billion by 2031.

How many people use AI chatbots in 2026?

More than 987 million people use AI chatbots worldwide as of 2026, according to figures aggregated by DemandSage and DataReportal. The combined user base of the five largest platforms (Meta AI, ChatGPT, Google Gemini, Microsoft Copilot, and Grok) exceeds 1 billion monthly active users.

What is ChatGPT’s market share in 2026?

ChatGPT holds 76.85% of global AI chatbot referral share as of April 2026, according to StatCounter — down from 84.21% a year earlier. This is ChatGPT’s lowest recorded share, with Google Gemini (9%), Perplexity (7.73%), Microsoft Copilot (3.76%), and Claude (2.66%) collectively accounting for over 23% of the market.

What is the ROI of implementing a chatbot?

Businesses report an average of $8 in returns for every $1 invested in chatbot technology. First-year ROI averages 340%, with leading implementations reaching 533% within nine months (Juniper Research). However, the Axis Intelligence CDRI shows that only 44.3% of deployed organizations generate measurable impact — meaning execution quality, not deployment itself, determines ROI.

How much do chatbots save on customer service costs?

AI chatbot interactions cost an average of $0.50 each, versus $6.00–$15.00 for human agent interactions — a 12:1 to 30:1 cost differential. Gartner projects $80 billion in cumulative contact center labor savings from conversational AI by the end of 2026. Businesses that automate at high volume (100+ daily inquiries) see the most significant savings.

Which industry uses chatbots the most?

Retail and e-commerce holds the largest vertical share (30.34%) of the chatbot market. Banking and financial services leads in adoption rate, with 88–92% of North American Tier 1 banks using AI chatbots. Healthcare is the fastest-growing vertical, with a 24.97% CAGR through 2031.

Do consumers prefer chatbots or human agents?

It depends on the task. 82% of consumers prefer a chatbot over waiting for a human agent. 75% prefer chatbots for simple inquiries like order tracking and FAQs. However, only 17% of billing disputes are successfully resolved by chatbots (Gartner), and consumer trust in AI has dropped from 58% in 2023 to 42% in 2026 (Gartner).

What is the fastest-growing AI chatbot platform?

Google Gemini is the fastest-growing major AI chatbot platform by referral share, growing from 2.31% in April 2025 to 9% in April 2026 — a 289% increase. Claude showed the highest short-term growth rate, growing nearly 888% in referral share over the same 12-month window, though from a much smaller base.

What percentage of companies have scaled AI enterprise-wide?

Only approximately 33% of organizations have scaled AI beyond pilot projects to enterprise-wide deployment, according to McKinsey’s State of AI 2025 survey (N=1,993 respondents). The remaining two-thirds are in experimental or single-function deployment phases.

What is the Axis Intelligence CDRI?

The Chatbot Deployment Reality Index (CDRI) is an original metric developed by Axis Intelligence Research that measures the ratio of AI-deploying organizations that generate measurable business returns. The Q2 2026 score of 44.3/100 means that for every 100 organizations using chatbots or AI, only 44.3 report measurable EBIT impact. It is derived from McKinsey State of AI 2025 data (88% deployment rate × 39% measurable impact rate), and is updated quarterly.