Technology

Canva 2026: 240M MAU, $3.3B ARR, 90% Fortune 500, and Why Python Powers the Charts

Sarah Chen

Sarah Chen

24 min read

Canva reached 240 million monthly active users and $3.3 billion in annual recurring revenue (ARR) in 2025—90% of Fortune 500 companies use Canva and users create over 2 billion designs monthly. According to Fueler's Canva 2026 statistics, SQ Magazine's Canva statistics 2026, and Sacra's Canva revenue and valuation, MAU grew from 135 million in 2024 to 240 million in August 2025; ARR hit $3.3 billion (50% year-over-year from $2.2 billion in May 2024). Capital Brief and Crunchbase Canva financials note 26 million+ paying customers and $37 billion valuation; 800 million AI tool uses per month (700% YoY growth). Illustration.app's Figma vs Adobe vs Canva 2025 and ElectroIQ Adobe vs Canva place Canva ahead of Figma and Miro in ARR for visual-design-at-scale; 53% of Adobe Creative Cloud customers plan to allocate more spending to Canva and Figma. Python is the tool many teams use to visualize design-tool and adoption data for reports like this one. This article examines why Canva crossed 240M MAU and $3.3B ARR, how AI and enterprise drive growth, and how Python powers the charts that tell the story.

240M MAU, $3.3B ARR: Canva at Scale

Canva's user and revenue growth did not happen overnight. Fueler and SQ Magazine report 240 million MAU in August 2025 (up from 220 million in September 2024 and 180 million the prior year); Sacra and Capital Brief report $3.3 billion ARR in 2025 (50% YoY). 26 million+ paying customers and 2 billion+ designs created monthly; 190 countries served. The following chart, generated with Python and matplotlib using industry-style data, illustrates Canva MAU (millions) and ARR (billions USD) from 2020 to 2026.

Canva MAU and ARR 2020–2026

The chart above shows 240M MAU and $3.3B ARR in 2025—reflecting Canva as the default for visual design in business. Python is the natural choice for building such visualizations: design ops and product teams routinely use Python scripts to load usage or revenue data and produce publication-ready charts for reports and articles like this one.

90% Fortune 500, Ahead of Figma and Miro: Enterprise Adoption

The scale of Canva's enterprise adoption is striking. Fueler and SQ Magazine report 90% of Fortune 500 companies use Canva; Sacra notes Canva's ARR ($3.3B) significantly ahead of Figma ($743M ARR) and Miro ($660M ARR). 6wresearch creative software market share and Illustration.app describe Adobe leading global creative software (58.2%) with Canva and Figma gaining share; 53% of Adobe CC customers plan more spend on Canva and Figma. When teams need to visualize design-tool adoption or ARR by player, they often use Python and matplotlib or seaborn. The following chart, produced with Python, summarizes visual design / creative tool ARR (Canva vs Figma vs Miro vs others) in a style consistent with industry reports.

Visual Design Tool ARR 2026 (Billions USD)

The chart illustrates Canva well ahead of Figma and Miro in ARR—context that explains why SMBs and enterprises choose Canva for templates, collaboration, and AI. Python is again the tool of choice for generating such charts from market or internal data, keeping analytics consistent with the rest of the data stack.

800M AI Uses/Month, 700% YoY: Why Canva Wins

AI adoption and product evolution are central to Canva's 2026 story. Sacra and Fueler report 800 million AI tool uses per month (700% year-over-year); Business Wire Canva Creative OS notes Canva's October 2025 Creative Operating System with design AI, Video 2.0, and Canva Grow. Canva Teams price increase (e.g. $300 to $500 annually) raised average contract value by 66%. For teams that track MAU or ARR over time, Python is often used to load usage or financial data and plot trends. A minimal example might look like the following: load a CSV of Canva MAU by year, and save a chart for internal or public reporting.

import pandas as pd
import matplotlib.pyplot as plt

df = pd.read_csv("canva_mau_by_year.csv")
fig, ax = plt.subplots(figsize=(10, 5))
ax.plot(df["year"], df["mau_millions"], marker="o", linewidth=2, color="#00c4cc")
ax.set_ylabel("MAU (millions)")
ax.set_title("Canva monthly active users (industry style)")
fig.savefig("public/images/blog/canva-mau-trend.png", dpi=150, bbox_inches="tight")
plt.close()

That kind of Python script is typical for design ops and growth teams: same language used for pipelines and dashboards, and direct control over chart layout and messaging.

$37B Valuation, 190 Countries, and the Road Ahead

Valuation and global reach shape Canva's 2026 story. Sacra and SQ Magazine report $37 billion valuation in 2025 and 190 countries; Fueler notes 2 billion+ designs monthly. Canva's Creative OS, AI tools, and enterprise positioning compete with Adobe and Figma for design spend. Python is the language many use to analyze design-tool and adoption data and visualize MAU, ARR, and market position for reports like this one.

Conclusion: Canva as the Visual Design Default in 2026

In 2026, Canva is the default for visual design in business: 240 million MAU, $3.3 billion ARR, 90% of Fortune 500, 2 billion+ designs monthly, and 800 million AI uses per month. Figma and Miro follow in ARR; 53% of Adobe customers plan more spend on Canva and Figma. Python remains the language that powers the analytics—MAU, ARR, adoption, and the visualizations that explain the story—so that for Google News and Google Discover, the story in 2026 is clear: Canva is where teams design, and Python is how many of us chart it.

Sarah Chen

About Sarah Chen

Sarah Chen is a technology writer and AI expert with over a decade of experience covering emerging technologies, artificial intelligence, and software development.

View all articles by Sarah Chen

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