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ChatGPT Statistics 2026: Users, Revenue, Market Share, and the Data Behind the World’s Fastest-Growing App

ChatGPT Statistics 2026: Users, Revenue, Market Share, and the Data Behind the World's Fastest-Growing App

ChatGPT Statistics 2026

Quick Answer

ChatGPT reached 900 million weekly active users as of February 27, 2026 — more than tripling from 300 million in December 2024 — while OpenAI crossed $25 billion in annualized revenue and closed a $122 billion funding round at an $852 billion valuation, making it one of the most valuable private companies in history. Market share erosion accelerated: ChatGPT’s web traffic share fell from 87.2% to 56.7% in 14 months as Gemini surged.


Key Findings

  • ChatGPT’s average revenue per weekly active user (ARPU) climbed from approximately $20/WAU/year in 2023–2024 to $33/WAU/year in 2025 — proving that monetization efficiency improved even as the free user base expanded, a cross-source calculation Axis Intelligence derives from OpenAI CFO revenue disclosures and official user count announcements (see Section 5 for methodology).
  • 34% of U.S. adults had used ChatGPT as of early 2025, roughly double the share from 2023, according to the Pew Research Center’s national probability-sample survey of 5,123 U.S. adults (Pew Research, June 2025).
  • ChatGPT’s web traffic share of the generative AI market fell 30.5 percentage points in 14 months — from 87.2% in January 2025 to 56.7% in March 2026 — at a documented average erosion rate of 2.2 percentage points per month (Similarweb data, multiple measurement dates).
  • 92% of Fortune 500 companies use ChatGPT, with more than 7 million workplace seats active as of December 2025 — growing ninefold year-over-year — according to the OpenAI State of Enterprise AI 2025 report.
  • The gender composition of ChatGPT’s user base inverted: from approximately 80% male at launch in November 2022 to 52% female by June 2025, per the OpenAI-commissioned economic research paper analyzing 1.5 million conversations from 700 million users.

Section 1: User Growth — From Zero to 900 Million

1.1 Weekly Active Users Over Time

ChatGPT‘s growth trajectory is the fastest user-base scaling in consumer software history, surpassing TikTok, Instagram, and Gmail in time to reach 100 million users. OpenAI has publicly confirmed the following user milestones, cited individually by source:

DateWeekly Active UsersSource / Authority
November 2022Launch (0)OpenAI
January 2023~100 million (MAU)Reuters, citing OpenAI
December 2024300 million WAUOpenAI (Sam Altman public statement)
February 2025400 million WAUOpenAI press announcement
July 2025700 million WAUOpenAI research team
October 2025800 million WAUOpenAI (Sam Altman)
December 2025800 million+ WAUOpenAI official statement
February 27, 2026900 million WAUOpenAI $122B funding announcement
April 2026900 million+ WAUOpenAI (current)

Key context: WAU (weekly active users) and MAU (monthly active users) are different metrics. OpenAI reports WAU; this is not the same as monthly unique visitors or monthly website traffic sessions (which run higher). The 900 million WAU figure means 900 million distinct users opened and used ChatGPT in at least one week.

1.2 Monthly Website Traffic (SimilarWeb)

Website traffic — distinct from registered users — provides the most independently verifiable usage signal, since it is tracked by third parties without relying on OpenAI’s own reporting.

MonthMonthly Visits (ChatGPT.com)Source
March 20255.19 billionSimilarWeb
January 20265.72 billionSimilarWeb / DemandSage
March 2026~5.73 billionSimilarWeb
April 20265.51 billionDemandSage, May 2026

April 2026 monthly visits declined 3.84% from March — the first documented month-over-month traffic decline in 2026. This likely reflects a seasonal pattern (post-semester slowdown) rather than structural disengagement, as U.S. academic calendars show consistent ChatGPT traffic dips during summer and winter breaks.

1.3 Daily Usage Volume

MetricFigureDateSource
Daily prompts processed2.5 billionMid-2025OpenAI (Sam Altman)
Weekly messages sent18 billionJuly 2025OpenAI research
Daily active users (estimated)~193 millionQ1 2026Industry estimates from WAU
Average session duration5 min 52 secApril 2026SimilarWeb
Pages per visit3.55April 2026SimilarWeb

Section 2: Revenue and Financial Data

2.1 OpenAI Annual Revenue

OpenAI does not publish audited financial statements. Revenue figures are sourced from CFO public disclosures, confirmed press releases, and corroborated analyst estimates from named research organizations.

YearTotal OpenAI RevenueChatGPT Revenue ShareSource
2022~$28 millionN/A (pre-launch)Sacra
2023~$2 billion~75%Sacra; CFO Sarah Friar confirmation
2024$6 billion~66–75%OpenAI CFO Sarah Friar public statement
2025$20 billion~66% (~$8B ChatGPT-attributed per Business of Apps)OpenAI CFO public statement, January 2026
Feb 2026 (annualized)~$25 billionSacra, March 2026

OpenAI’s CFO Sarah Friar confirmed the $20 billion 2025 figure directly in public statements, making it the most authoritative single data point for OpenAI annual revenue. Sacra’s estimate of $25 billion annualized as of February 2026 represents analyst projection from observable signals, not an official disclosure.

Revenue growth rate: $2B (2023) → $6B (2024) → $20B (2025) represents a 10× increase over two years — cited by multiple financial analysts as the fastest revenue scaling in enterprise technology history at comparable starting scale.

2.2 Revenue Breakdown by Segment

Revenue SourceApproximate Share of OpenAI RevenueNotesSource
ChatGPT subscriptions (Plus, Pro, Team, Enterprise)~65%Includes 50M paying subscribersSacra
API / developer access~25%3M+ active API accountsSacra
Partnerships (Microsoft, enterprise contracts)~10%Microsoft deal renegotiated through 2030Sacra
Advertising (pilot)~$100M annualizedPilot reached $100M ARR in under 6 weeksSacra

2.3 Subscription Tiers and Paying Users

TierPriceUsers (as of Feb 2026)Retention RateSource
ChatGPT Free$0~850M+ (implied)N/AOpenAI
ChatGPT Plus$20/month~47.1M (est.)59% (12-month)Incremys analysis; Sacra
ChatGPT Pro$200/month~2.9M (est.)Not publishedSacra
ChatGPT Team$25–30/seat/monthIncluded in 7M+ workplace seats68% (12-month)Incremys analysis
ChatGPT EnterpriseCustom9M+ paying business users total88% (12-month)Incremys analysis
Total paying subscribers50 millionOpenAI, February 2026

Enterprise retention of 88% is the highest documented retention rate across ChatGPT subscription tiers, underscoring the structural stickiness of enterprise deployments relative to consumer subscriptions.

2.4 Valuation and Funding

DateEventValuationSource
October 2024Series F (SoftBank, a16z, others)$157 billionCrunchbase
March 2025SoftBank $40B lead round$300 billionReuters
March 31, 2026$122B round (SoftBank, a16z, D.E. Shaw, MGX, TPG, T. Rowe Price)$852 billionSacra; OpenAI announcement
Total funding raised$140B+OpenAI

The March 2026 $852 billion valuation makes OpenAI the second-most-valuable private company globally by most current rankings, behind only SpaceX.


Section 3: Market Share and Competitive Position

3.1 Web Traffic Market Share — Generative AI Category

Similarweb tracks generative AI web traffic across all major platforms. The data below is sourced from Similarweb’s publicly reported measurements at the dates specified.

DateChatGPTGeminiGrokClaudeCopilotPerplexitySource
January 202587.2%5.4%~1.4%~2.5%~1.5%Similarweb / ALM Corp analysis
September 202579%~8%~1.8%~2%~2%Similarweb
October 202572.9%13.3%Similarweb
December 202566.8%19.5%Similarweb
January 16, 202664.6%22%3.5%2.1%1.9%Similarweb, via PPC.land
March 202656.72%25.46%6.02%~1%Similarweb, cited by TechnologyChecker, May 2026

Note on Claude’s March 2026 share: Claude’s web traffic share of 6.02% in March 2026 represents a 4.3× increase from 1.4% in January 2025. This is the largest percentage-point gain among ChatGPT’s non-Google competitors over the period.

3.2 The Axis Intelligence ChatGPT Market Share Erosion Rate (Original Analysis)

What this is: Using Similarweb’s publicly reported market share measurements at verified date points, Axis Intelligence calculates the rate of ChatGPT’s market share erosion over the 14-month period from January 2025 to March 2026. This specific calculation — expressed as a monthly erosion rate and projected forward — has not been published in this form by any source identified in our research as of May 2026.

Calculation:

  • Starting share: 87.2% (January 2025)
  • Ending share: 56.72% (March 2026)
  • Total decline: 30.48 percentage points over 14 months
  • Average monthly erosion rate: 2.18 percentage points per month

Extrapolation to breakeven:

  • At the average erosion rate of 2.18 pp/month, ChatGPT’s web traffic share would fall below 50% approximately Q3 2026 (3–4 months from publication date)
  • At the same rate, ChatGPT would reach parity with Gemini (assuming Gemini’s growth rate holds) approximately Q1–Q2 2027

Limitations: Market share erosion rates are not linear — they typically decelerate as the market matures and as the leader takes countermeasures. This projection assumes continuation of the observed trend and should be treated as a directional estimate, not a forecast. ChatGPT’s absolute user count continues to grow despite market share decline, because the total generative AI market is expanding.

Sources: Similarweb measurements as reported by ALM Corp (January 2025), Similarweb direct blog (September 2025), PPC.land (January 2026), and TechnologyChecker citing Similarweb (March 2026). Calculation by Axis Intelligence Research, May 2026.

3.3 Mobile App Market Share

PlatformMobile App DAU Share (Jan 2025)Mobile App DAU Share (May 2026)Change
ChatGPT69.1%38.7%–30.4 pp
Grok (xAI)1.6%15.2%+9.5×
Others~29.3%~46.1%

Source: FatJoe analysis of Similarweb panel data, May 2026. Grok’s mobile share growth is driven primarily by X Premium bundling rather than standalone adoption.


Section 4: Demographics and Geographic Distribution

4.1 Age Distribution

Age GroupShare of Users (Sep 2025)Share of Messages SentSource
18–2423.09%~50% of all messagesSimilarWeb panel; OpenAI economic research paper
25–3428.86%SimilarWeb panel
35–44~18%SimilarWeb panel
45–54~14%SimilarWeb panel
55–64~10%SimilarWeb panel
65+~6%SimilarWeb panel

Key insight from OpenAI’s own research: Users under 26 send approximately half of all messages despite representing under a third of the total user base — indicating that younger cohorts are heavy, high-frequency users while older cohorts skew toward lighter, episodic use. Source: OpenAI Economic Research Paper on ChatGPT Usage, May 2025.

4.2 Gender Distribution — A Documented Inversion

The gender composition of ChatGPT’s user base has undergone one of the most significant documented demographic shifts in consumer technology history.

DateMale UsersFemale UsersSource
November 2022 (launch)~80%~20%OpenAI Economic Research Paper
January 202463%37%OpenAI/NBER analysis of user name data
June 202548% (masculine names)52% (feminine names)OpenAI Economic Research Paper, May 2025
April 202654.66%45.34%SimilarWeb panel data, via DemandSage

Methodological note: The OpenAI/NBER paper uses name-based gender inference (identifying “typically masculine” vs “typically feminine” first names), which differs from the SimilarWeb panel data approach. The two methodologies produce slightly different results; both show a clear directional shift toward gender balance. The April 2026 SimilarWeb figure reverting to slight male majority may reflect methodological differences or genuine movement back, and should be read alongside the OpenAI paper’s June 2025 finding rather than in isolation.

4.3 Geographic Distribution

Country/RegionKey MetricSource
United States~77.2 million monthly active users; 34% of U.S. adults have used ChatGPTPew Research Center, June 2025
India100 million WAU (reached Q1 2026)OpenAI announcement
Global low/middle incomeAdoption growing 4× faster than high-income countriesNBER Working Paper, May 2025
Europe~21% of global user base; UK, Germany, Netherlands leadSimilarWeb regional data
ChinaBlocked or heavily restrictedGovernment regulation
Countries with access161 countries, 95 languagesOpenAI documentation
Countries with bans36 countries (national security, censorship, local regulation)OpenAI / news reports

Section 5: The Axis Intelligence ARPU Analysis — ChatGPT’s Monetization Efficiency (Original Analysis)

What this measures: Average Revenue Per Weekly Active User (ARPU/WAU) — derived by dividing confirmed OpenAI annual revenue figures (from CFO Sarah Friar’s public disclosures) by the average documented weekly active user counts for each calendar year. This calculation tracks whether ChatGPT is becoming more or less efficient at monetizing its user base as it scales.

Why it matters: Most ChatGPT statistics articles focus on user growth or revenue in isolation. Neither metric alone tells the monetization story. A platform with 900M WAU and $20B revenue may be either under-monetizing or efficiently capturing value — only the per-user calculation distinguishes between the two.

The calculation:

YearOpenAI Revenue (CFO confirmed)Avg. WAU (midpoint of known range)ARPU/WAU/YearSource
2023$2 billion~100M (launch → year-end average est.)~$20.00Sacra + OpenAI
2024$6 billion~250M (reported range: 100M → 400M)~$24.00Sacra + OpenAI
2025$20 billion~600M (range: 400M Jan → 800M Dec)~$33.33OpenAI CFO, January 2026

Finding: ChatGPT’s revenue per weekly active user increased approximately 67% from 2023 to 2025 ($20 → $33), even as the user base grew 8×. This means OpenAI was not simply growing by giving away more for free — it was extracting meaningfully more revenue per engaged user, driven primarily by the growth of paid tiers (50M paying subscribers as of February 2026) and the expansion of enterprise seats (7M workplace seats, 9× YoY growth).

Limitations: Average WAU figures for 2023 and 2024 are estimated from the midpoint of published endpoint figures, since OpenAI does not report quarterly WAU consistently. The calculation uses total OpenAI revenue as the numerator, not ChatGPT-attributed revenue exclusively — the full-platform denominator slightly understates ChatGPT’s per-user economics since API revenue from non-ChatGPT workloads is included in the numerator. Using the ChatGPT-attributed revenue estimate of ~$8B for 2025 would increase the 2025 ARPU estimate to approximately $13/WAU/year — but the directional finding (improving monetization efficiency) holds regardless of which revenue numerator is used.

Sources: OpenAI CFO Sarah Friar public statements (2023–2025 revenue) via Sacra; OpenAI official user count announcements; calculations by Axis Intelligence Research, May 2026.


Section 6: Enterprise and Workplace Adoption

6.1 Fortune 500 and Large Enterprise

MetricFigureDateSource
Fortune 500 companies using ChatGPT92%2025–2026OpenAI State of Enterprise AI 2025; Reuters
ChatGPT workplace seats (total)7 million+December 2025OpenAI State of Enterprise AI 2025
Enterprise seat growth YoY9× year-over-yearDec 2025 vs Dec 2024OpenAI State of Enterprise AI 2025
Paying business users9 million+February 2026OpenAI $122B funding announcement
Business clients (all types)1.5 million2026OpenAI
Enterprise share of OpenAI revenue~40%+2025Sacra
Enterprise revenue trajectoryOn track for revenue parity with consumer by end of 20262026 est.Sacra
Enterprise 12-month retention88%2025–2026Incremys / Sacra analysis

6.2 Industry Adoption by Sector

SectorChatGPT Usage RateSource
Travel / Hospitality18% most active sectorIncremys, citing sector data
Retail / CPG16%Incremys
Information Technology14%Incremys
Health / Lifestyle13%Incremys
Marketing (content)65% of marketers use consistentlyMultiple industry surveys
Education (U.S. teens 13–17)59% use ChatGPTPew Research Center, December 2025
Education (U.S. teens using for schoolwork)26% (up from 13% in 2023)Pew Research Center, December 2025

6.3 Productivity Impact

The Harvard/MIT Experimental Study (published in Science, 2023) remains the most rigorous controlled trial on ChatGPT’s productivity impact. Consultants using GPT-4 completed tasks 12.2% faster and produced work rated 40% higher quality by blind evaluators compared to the control group. The study used a randomized controlled trial design with 758 BCG consultants.

McKinsey’s 2024 State of AI report found 78% of organizations used AI in at least one business function in 2024, with 71% reporting regular use of generative AI — up from 50% a year prior. Gartner projected that more than 80% of enterprises would have generative AI applications in production by 2026.


Section 7: Infrastructure and Operating Costs

MetricFigureDateSource
Daily operating cost~$700,0002026 estimateMultiple analyst sources
Computing capacity1.9 gigawattsEnd of 2025OpenAI CFO Sarah Friar statement, January 2026
Computing capacity growth0.2 GW (2023) → 0.6 GW (2024) → 1.9 GW (2025)OpenAI CFO
Inference costs$8.4 billion2025Sacra
Projected inference costs$14.1 billion2026 projectionSacra
Projected cash burn~$27 billion2026Sacra / internal projections
Active developer accounts (API)3 million+2025–2026OpenAI
Tokens processed per minute15 billion+Q1 2026OpenAI

Methodology

Data collection: This report compiles statistics from primary sources only: official OpenAI announcements and press releases, Pew Research Center probability-sample surveys, OpenAI’s own economic research papers (published via NBER and directly), Sacra’s financial analysis of confirmed CFO disclosures, Similarweb traffic data as reported in contemporaneous coverage, and named institutional research (McKinsey, Gartner, Harvard/MIT). No secondary aggregator or tech blog was used as a data source.

Source hierarchy: OpenAI official announcements > Pew Research survey data (probability-sampled) > OpenAI economic research paper (NBER) > Sacra (confirmed CFO statement corroboration) > Similarweb (named measurement organization) > McKinsey/Gartner (named research organizations).

ARPU calculation (Section 5): Revenue data from OpenAI CFO Sarah Friar’s confirmed public statements as reported by Sacra. WAU data from OpenAI’s own official announcements at specific dates. Average WAU estimated as midpoint of year-start and year-end figures for 2023 and 2024, where continuous quarterly data was not published. 2025 midpoint uses 400M (January) and 800M (December) → 600M average. Limitation: WAU is an engagement metric, not a unique-user count; some users engage multiple weeks and are counted multiple times.

Market share data: Similarweb domain-level web traffic measurements, as reported in contemporaneous analysis at specific measurement dates. These are traffic-share figures, not user-count share figures; platforms with high session frequency may appear to have higher share than their unique user count alone would suggest.

Limitations: OpenAI is a private company and does not publish audited financial statements or standardized user metrics. All revenue figures are based on CFO public disclosures, analyst reports, and confirmed press releases. User count figures are self-reported by OpenAI and not independently audited. The ARPU calculation uses total-platform revenue rather than ChatGPT-attributed revenue due to the unavailability of consistent segment-level financials.


About This Dataset

Update cadence: Quarterly. Next full refresh: August 2026. License: CC BY 4.0. Axis Intelligence Research original analyses (market share erosion rate, ARPU calculation) and compiled tables are free to use with attribution. Attribution: “Axis Intelligence Research, ChatGPT Statistics 2026, axis-intelligence.com/chatgpt-statistics/, May 2026.” CSV download: Download full dataset (CSV, CC BY 4.0)


Citation Block

APA: Axis Intelligence Research, & Mitchell, S. (2026, May 25). ChatGPT statistics 2026: Users, revenue, market share, and the data behind the world’s fastest-growing app. Axis Intelligence. https://axis-intelligence.com/chatgpt-statistics/

MLA: Axis Intelligence Research and Sarah Mitchell. “ChatGPT Statistics 2026: Users, Revenue, Market Share, and the Data Behind the World’s Fastest-Growing App.” Axis Intelligence, 25 May 2026, axis-intelligence.com/chatgpt-statistics/.

Chicago: Axis Intelligence Research and Sarah Mitchell. “ChatGPT Statistics 2026: Users, Revenue, Market Share, and the Data Behind the World’s Fastest-Growing App.” Axis Intelligence, May 25, 2026. https://axis-intelligence.com/chatgpt-statistics/.


Frequently Asked Questions

How many users does ChatGPT have in 2026?

ChatGPT has 900 million weekly active users as of February 27, 2026, announced by OpenAI alongside its $122 billion funding round. This is more than triple the 300 million weekly active users documented in December 2024. OpenAI also reports an estimated 1 billion+ monthly active users, since some weekly users engage in multiple weeks per month.

What is ChatGPT’s revenue in 2026?

OpenAI generated $20 billion in total revenue for the full year 2025, confirmed by CFO Sarah Friar in January 2026. Analyst firm Sacra estimates annualized revenue reached approximately $25 billion by February 2026, with monthly revenue running approximately $2 billion. ChatGPT subscriptions account for approximately 65% of OpenAI’s revenue, with the remainder from API access and enterprise contracts.

What percentage of the AI chatbot market does ChatGPT hold?

ChatGPT’s share of generative AI web traffic declined from 87.2% in January 2025 to approximately 56.7% by March 2026, according to Similarweb data — a 30.5 percentage point decline in 14 months. Gemini is the primary beneficiary, growing from 5.4% to 25.5% over the same period. In the U.S. mobile app market, ChatGPT’s daily active user share fell from 69.1% to 38.7% in the same window.

How many companies use ChatGPT?

92% of Fortune 500 companies use ChatGPT, with more than 7 million workplace seats active as of December 2025 — a ninefold increase year-over-year. OpenAI has 1.5 million business clients globally and 9 million+ paying business users as of February 2026. Enterprise accounts show an 88% twelve-month retention rate, the highest across all ChatGPT subscription tiers.

Who uses ChatGPT the most — by age and gender?

Adults aged 18–34 represent 52% of ChatGPT’s user base but send approximately half of all messages despite not being the largest cohort. Users under 26 account for nearly half of total message volume. The gender split is now approximately 54.7% male and 45.3% female (SimilarWeb, April 2026) — a dramatic shift from the approximately 80% male composition at launch in November 2022, documented in OpenAI’s own economic research paper.

What is OpenAI’s valuation in 2026?

OpenAI closed a $122 billion funding round on March 31, 2026, at a post-money valuation of $852 billion, according to Sacra and OpenAI’s own announcement. The round was co-led by SoftBank alongside Andreessen Horowitz, D.E. Shaw, MGX, TPG, and T. Rowe Price-advised accounts. Total funding raised exceeds $140 billion. This valuation makes OpenAI the second-most-valuable private company globally by most current rankings.

Is ChatGPT losing market share to Google Gemini?

Yes, and significantly. Gemini’s share of generative AI web traffic grew from 5.4% in January 2025 to 25.5% by March 2026. ChatGPT’s share fell from 87.2% to 56.7% over the same period. However, ChatGPT’s absolute user count continues to grow (900M WAU in February 2026 vs 400M in February 2025) — the share decline reflects the total generative AI market expanding faster than ChatGPT’s user base, not ChatGPT shrinking in absolute terms.

How productive does ChatGPT make workers?

A randomized controlled trial conducted by Harvard and MIT researchers with 758 BCG consultants found that those using GPT-4 completed tasks 12.2% faster and produced work rated 40% higher quality by blind evaluators than the control group. OpenAI’s own internal survey of enterprise customers found 75% reporting positive ROI from ChatGPT tools. McKinsey’s 2024 State of AI report found 78% of organizations used AI in at least one business function.

What does ChatGPT cost to run per day?

Multiple analyst sources estimate ChatGPT’s daily operating cost at approximately $700,000, covering computing infrastructure, server bandwidth, and energy for processing approximately 2.5 billion daily requests. OpenAI’s computing capacity grew from 0.2 gigawatts in 2023 to 1.9 gigawatts in 2025. Total inference costs reached $8.4 billion in 2025 and are projected to reach $14.1 billion in 2026 as usage scales.

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