Over 900 million monthly active users (May 2026). $180-190 billion in planned infrastructure spending. 85 billion API requests per month.
Those are not projections. Those are Google Gemini's actual numbers as of mid-2026.
I've compiled the most important statistics about Google's AI model and chatbot in one place. From user growth and market share to Google's massive AI investments, API adoption, and ecosystem reach.
- Google Gemini has 900M+ monthly active users (May 2026) and grew its web market share from 5.4% (Jan 2025) to 27.4% (Jun 2026), more than quintupling its share
- Alphabet plans $180-190B CapEx for AI infrastructure in 2026, nearly double 2025's $91.4B
- 8.5M developers build with Gemini and other models monthly per Google, plus 85B monthly API requests (+142% vs. March 2025)
1. How Many Users Does Google Gemini Have?
Google Gemini has seen massive growth since the rebranding from Bard in February 2024. In Q4 2025, Google reported over 750 million monthly active users (TechCrunch). Around Google I/O in May 2026, that number had grown to over 900 million.
Compared to other AI chatbots, Gemini's user growth has been impressive:
1.1. Monthly Active Users (MAU)
Key user metrics at a glance:
- 900M+ monthly active users (MAU, May 2026)
- Approx. 50M+ daily active users (DAU, estimated)
- 430M+ cumulative app downloads (since May 2024)
- 150M total Google One subscribers
- 2B monthly users of AI Overviews in Google Search
- Over 1B monthly active AI Mode users worldwide (Google I/O 2026)
The biggest growth driver is Google's ecosystem advantage: Gemini is deeply integrated into Android, Chrome, Google Search, and Google Workspace. This fundamentally differentiates Gemini from standalone chatbots like ChatGPT or Claude.
2. How Often Is Gemini Visited Each Month?
According to SimilarWeb, monthly visits to gemini.google.com have grown rapidly since launch:
In November 2025, Gemini reached approximately 1.35 billion monthly visits, up 14.36% month-over-month. This places Gemini 2nd among AI chatbots worldwide (behind ChatGPT at ~5.6B visits) and 29th among all websites globally.
Between February and November 2025, visits grew by 137% (from 570M to 1.35B). This shows how model improvements (Gemini 2.5, 3.0) drive user growth.
3. Which Countries Do Gemini Users Come From?
According to SimilarWeb, Gemini's traffic is distributed across the following countries:
The high share of Southeast Asian countries (Indonesia, Vietnam) correlates with strong Android adoption in these markets, where Gemini is pre-installed as the default AI assistant.
Compared to ChatGPT's country distribution, Gemini's user base is more heavily represented in emerging markets, while ChatGPT has a higher share in Japan and the UK.
4. In Which Countries Is Gemini Available?
The Gemini web app is available in over 230 countries and territories (Google Support). The iOS app is accessible in over 150 countries.
Gemini is available wherever Google services work, which covers more countries than most other AI chatbots.
Restrictions exist in the following regions:
- EU/EEA, Switzerland and UK: Minimum age of 18 (due to GDPR and AI Act)
- China: Blocked (like all Google services)
- Iran, Russia: Blocked due to sanctions
- North Korea, Syria: Not available
5. Gemini API: Usage and Developers
The Gemini API has become one of the most widely used AI APIs in the world. Key metrics:
- 85 billion monthly API requests
- 8.5 million developers build with Gemini and other models monthly, per Google (I/O 2026), up from 2.4 million in early 2026
- 5,200+ Google Play Store apps using Gemini APIs
- +142% growth in API requests (Jan 2026 vs. Mar 2025)
5.1. Monthly Gemini API Requests (in Billions)
In the Stack Overflow Developer Survey 2025, 47% of developers reported using Gemini, placing it 3rd behind ChatGPT (82%) and GitHub Copilot (68%), but ahead of Claude (45%).
5.2. AI Usage Among Developers
For more information about the Google Gemini API, check out our guide.
6. Gemini in the Google Ecosystem: Reach
Gemini's biggest advantage over competitors is its integration into Google's product ecosystem. The reach is enormous:
6.1. Gemini Reach Across Google's Ecosystem
Key integrations at a glance:
- Google Search (AI Overviews): 2 billion monthly users across 200+ countries. AI Overviews appear in up to 60% of US search queries and ~13% globally.
- Android: Gemini is available on billions of Android devices as an AI assistant, increasingly replacing Google Assistant.
- Google Workspace: Gemini is integrated into Gmail, Docs, Sheets, and Slides in Business and Enterprise plans.
- AI Mode: Over 1 billion monthly active users worldwide (Google I/O 2026). Offers a ChatGPT-like conversational search directly within Google.
7. How Current Is Gemini's Training Data?
The knowledge cutoff date indicates until when an AI model has knowledge from its training data. Here's an overview of all Gemini models:
Most current Gemini models have a knowledge cutoff date of approximately January 2025. Gemini 3.6 Flash, available since July 2026, brings the most current knowledge cutoff of any Gemini model at March 2026, and all models can additionally access current information via Google Search. Since July 2026, the lineup has also gained Gemini 3.5 Flash-Lite, a new lite model built for high-throughput use cases like agentic search and document processing. An advantage over competitors: since Google operates the world's largest search engine, Gemini has particularly strong access to real-time data.
For more details on individual models, check out our guide: All Google Gemini Models at a Glance
8. Which Languages Does Gemini Support?
Google Gemini supports significantly more languages than most AI chatbots:
- Web app: 70+ languages
- Gemini Live (voice conversations): 40+ languages
- Workspace Side Panel: 24+ languages
- Google Meet (translated captions): 69 languages
9. Google's AI Investments and Spending
Alphabet is investing more aggressively in AI infrastructure than any other company. Capital expenditures (CapEx) have multiplied in recent years:
9.1 CapEx Development
From $31 billion in 2022, Alphabet's CapEx has surged to a planned $180-190 billion for 2026, almost a sixfold jump in four years:
Alphabet: Annual Capital Expenditures (CapEx)
The planned 2026 CapEx ($180-190B) is nearly double that of 2025. For context: Greece's entire GDP in 2024 was approximately $240 billion.
9.2 AI Investments: Tech Giants Compared
Major tech companies are planning hundreds of billions in AI investments for 2026:
Planned 2026 CapEx (in Billions USD)
9.3 Key Financial Metrics
10. Business Model and Pricing
Google Gemini is available in several pricing tiers:
Compared to ChatGPT Plus ($20/month), Google One AI Pro at $19.99 is priced similarly but includes access to the entire Google ecosystem, including 5TB of cloud storage (up from 2TB).
For detailed information about Gemini models and API pricing, check out our guide.
11. Market Position and Competition
Gemini has gained significant market share over the past year:
11.1 Web Market Share
As of June 2026, Gemini holds a clear second place with 27.4% web market share, behind ChatGPT (54.7%) and ahead of Claude (8.2%):
AI Chatbot Web Market Share (June 2026)
A year and a half ago (January 2025), Gemini's market share was only 5.4% while ChatGPT held 87.2%. Gemini has grown its share more than fivefold to 27.4% in 17 months.
11.2 Mobile App Market Share (US)
A similar trend appears in US mobile apps:
US Mobile App Market Share (DAU, January 2026)
ChatGPT dropped from 69.1% (January 2025) to 45.3%, while Gemini grew from 14.7% to 25.1%. Notably, Grok (xAI) also surged from 1.6% to 15.2%.
12. Enterprise Adoption
Gemini has also established a strong position in the enterprise space:
- 120,000+ enterprises using Gemini (Q4 2025)
- 95% of the top 20 global SaaS companies use Gemini
- 65% of all Google Cloud customers use AI tools
- 20x growth in Vertex AI usage over the past year
Notable Gemini enterprise customers include: Adobe, Toyota, Mercedes-Benz, Unilever, Best Buy, Kraft-Heinz, Commerzbank, Deutsche Telekom, Klarna, Deloitte, Figma, and LATAM Airlines (Google Cloud Blog).
Google's advantage in the enterprise space: many companies already use Google Workspace and can plug Gemini straight in without introducing a separate AI platform.
13. Gemini Nano: On-Device AI
Gemini Nano is Google's on-device model that runs directly on smartphones without sending data to servers. It's available on the following devices:
Gemini Nano supports multimodal processing (text, image, and audio) and works completely offline. Typical use cases include Smart Reply, text summarization, and real-time translation.
Google has not disclosed exact numbers for the total number of devices running Gemini Nano. Given the popularity of the listed smartphone models, however, the number likely runs into several hundred million devices.
14. Environment and Energy Consumption
In August 2025, Google published detailed energy consumption data for Gemini for the first time (MIT Technology Review):
14.1. Resource Consumption per Gemini Query
0.24 watt-hours per query is roughly equivalent to running a microwave for one second. In comparison:
14.2. Energy per Query Comparison
Particularly impressive: Google achieved a 33x reduction in energy per Gemini query between May 2024 and May 2025, largely thanks to more efficient models and Google's custom-designed TPU chips (Tensor Processing Units) optimized for AI inference.
Despite these improvements, total energy consumption continues to rise: Google's data centers consumed approximately 30.8 million MWh of electricity in 2024, more than double the amount in 2020.
15. Interesting Facts and Records
Here are some notable facts about Google Gemini:
15.1. The Bard Launch Disaster
During Bard's (Gemini's predecessor) public demo in February 2023, the model gave an incorrect answer about the James Webb Space Telescope. The result: Alphabet's market value dropped by $100 billion in a single day (Wikipedia).
15.2. Largest Context Window
Gemini 2.5 Pro offers a context window of 1 million tokens (1,048,576 tokens). The largest Gemini context so far came from the older Gemini 1.5 Pro at 2 million tokens (DataStudios).
15.3. LMArena Leader
Gemini 3 achieved a breakthrough score of 1,501 Elo points on the LMArena Leaderboard, overtaking all competing models (Incremys).
15.4. Competitive Programming Gold Medal
In September 2025, Gemini achieved gold-medal level performance at the ICPC World Finals (International Collegiate Programming Contest), one of the most prestigious programming competitions worldwide.
15.5. ARC-AGI-2 Breakthrough
Gemini 3.1 Pro scored 77.1% on the ARC-AGI-2 benchmark, more than doubling its predecessor Gemini 3 Pro's standard score of 31.1%. ARC-AGI-2 is considered one of the most challenging benchmarks for general intelligence (Vellum).
15.6. Serving Cost Reduction
Google reduced Gemini's serving costs by 78% over 2025 (Alphabet Q4 2025 Earnings). This is one reason Google can offer Gemini Flash models at extremely low prices (sometimes free).
15.7. Fastest Market Share Growth
Gemini's web market share climbed in four steps from 5.4% (January 2025) to 27.4% (June 2026):
Gemini Web Market Share Development
Growing from 5.4% to 27.4% market share in 17 months (+407%) represents the fastest growth of any AI chatbot in that period.
15.8. Energy Efficiency Record
The 33x reduction in energy consumption per query between May 2024 and May 2025 is the largest documented efficiency improvement for a major AI model in that timeframe (MIT Technology Review).
