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AI Art Statistics 2024 – AI Art Industry in Numbers

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AI Art Market and Financials

  • Generative AI art market size in 2022: USD 212 million. (Source: Market Research)
  • Expected Generative AI art market size by 2032: USD 5,840 million. (Source: Market Research)
  • Expected CAGR (Compound Annual Growth Rate) from 2023 to 2032: 40.5%. (Source: Market Research)
  • Growth factors for this market include advancements in artificial intelligence (AI), increased acceptance in creative industries, and a growing interest in alternative artistic expression forms. (Source: Market Research)
  • Generative AI in art encompasses various creative fields, including visual art, music, literature, and more. (Source: Market Research)
  • Market Segmentation by Technology or Platform (Source: Market Research):
    • Standalone Software: 47% market share.
    • Cloud-Based Services and AI-Enabled Hardware: 53% market share.
  • The market share of North America in the generative AI art market was 42% (2023), leaving 58% for the rest of the world. North America is expected to hold the largest generative AI art market share. (Source: Market Research)
  • The global AI market (including AI art, among other AI-based solutions and services) is expected to have a CAGR of 32.9% from 2022 to 2030. 2021 valuation for the whole AI market was USD 95.6B, with an upward trend to USD 1,847.58B by 2030. (Source: Next Move Strategy Consulting)
  • The highest-valued AI art NFT (Asymmetrical Liberation) was sold by BottoDAO (Botto) for 79ETH to a buyer called ‘needs’, at the time, valued at $324.9k. (Source: SuperRare)
  • BottoDAO (DAO: Decentralized Autonomous Organization) is the highest-earning AI artist (community), earning more than $3M selling 75 AI art NFTs. (Source BeInNews Academy)
  • OpenAI is the highest-valued AI company with a $20B valuation and is projecting a $1B revenue by 2024. (Source: Reuters)
  • Generative AI can add $4.4T (trillion) in value to the global economy. (Source: The New York Times)
  • “Edmond de Belamy, from La Famille de Belamy” by the French art collective Obvious sold for $432,500, including fees, over 40 times Christie’s initial estimate of $7,000-$10,000, making it the highest-selling AI art piece ever. (Source: New York Times)

Adoption, Perception, and Usage

jason-allen-theatre-d-opera-spatial
Théâtre D’opéra Spatial by Jason M Allen.
  • Théâtre D’opéra Spatial by Jason M Allen was the first AI-generated image to win a prize (Source: BBC).
  • The first traces of AI-generated images can be found from the 1960s. This is described and documented in Aaron’s Code: Meta-Art, Artificial Intelligence, and the Work of Harold Cohen’s book.
  • OpenAI’s DALL-E (launched to the public in January 2021) was the first mainstream text-to-image AI art generator. (Source: NBC News)
  • The popularity of AI art peaked in December 2022, and shortly after, in March and April 2023, Midjourney and Stable Diffusion peaked in popularity. The popularity of AI art has since been on a downtrend. (Source: Google Trends)
  • According to SimilarWeb, the most visited website among the best AI art generators is OpenAI (ChatGPT and DALL·E 2); however, the data is skewed because of ChatGPT’s popularity.
    • OpenAI total visits per month: 1.5B
    • Midjourney total visits per month: 26.8M
    • Stability AI total visits per month: 3.2M
  • Midjourney has the biggest AI art Discord communities in the world. With more than 14M registered users, it has a larger user base than multiple AI art Discord servers combined. (Source: Discord servers)
  • Other notable Discord communities include (Source: Discord servers):
    • Leonardo AI: 1,700,000+ members
    • Playground AI: 108,000+ members
    • RunDiffusion: 13,000+ members
  • In the Human vs. AI test experiment, up to 87% of respondents mistakenly identified AI-generated images as real photos, while only 62% of those interested in AI and machine learning answered more than half of the questions correctly, illustrating the significant challenge in recognizing AI-generated content. (Source: Tidio)
  • Reception of AI Artwork (Source: YouGov):
    • Only 27% of Americans had seen AI artwork, but 56% of those who had seen it enjoyed it.
    • 19% of those who had seen AI artwork did not enjoy it.
    • Opinion is divided on whether AI artwork is better or worse than that created by humans:
      • 34% said it was better.
      • 29% said it was not better.
      • 31% said it was roughly the same standard.
  • Credit for AI-Generated Art (Source: YouGov):
    • 9% of Americans believe that the human who entered the prompt into an AI art generator deserves credit.
    • 15% believe that the developers of the AI tool should receive credit.
    • 13% think the credit should go to the artist that the AI tool is trained on.
    • 21% believe all three (humans, developers, and artists) should share authorship credit.
  • Over 50% of Americans can spot the difference between AI-generated art and human-made art. (Source: Yale Daily News)
  • Around 94% of Japanese creators expressed concerns about AI causing harmful effects like rights infringement. 25,000 applicants participated in the survey conducted by Arts Workers Japan. (Source: TBS News Dig)
  • Over 80M images were removed from the LAION dataset, before Stability AI started training Stable Diffusion 3 (assumed to be the released SDXL model). (Source: The Decoder)

Copyright

  • Artists and Copyright (Source: Book An Artist):
    • 74.3% of artists find the current method of scraping the internet for their artwork by generative AI technologies unethical.
    • 9 out of 10 artists believe current copyright laws are outdated and insufficient for addressing AI technology.
    • 89.2% of artists believe that current copyright laws do not provide adequate protection against generative AI technology.
    • 54.6% of artists think that generative AI technology will impact their ability to earn income from their artwork, potentially replacing original art with prints and bypassing artists for designs.
    • 43% of respondents rely heavily on art sales as their primary income source.
    • 62% believe it’s their own responsibility to protect their artwork, while 60% and 59.9% believe that private organizations and government and regulatory bodies should also be responsible, respectively.
    • 52% believe that AI generator tech organizations, such as OpenAI and Midjourney, should take responsibility for protecting their artwork.
    • 72.6% of respondents want compensation if their artwork is used to train AI algorithms.
    • 53.5% want to be credited if their artwork is used in AI algorithms.
  • LAION is the most used dataset provider for AI image generation. (Source: LAION)
  • LAION has nine different AI datasets, the biggest one being LAION5B, consisting of 5.85 billion CLIP-filtered image-text pairs. (Source: LAION)

AI Art Generators

  • According to the top 9 Google SERP (search engine results page) results, the title for the best AI art generator is divided among the following AI art generators:
    • Bing, Midjourney, GetIMG, DALL·E 2, Adobe Firefly, and Jasper Art
  • According to the Google Play Store, the most popular mobile AI art generator is Imagine: AI Art Generator by Vyro AI, with over 5M+ downloads. (Source: Google Play Store)

Midjourney

  • According to Google Trends, the worldwide popularity of Midjourney has dropped roughly 62% from the high of March 2023 to September 2023. The popularity seems to be still declining from the high of March 2023. (Source: Google Trends)

Stable Diffusion

  • Stable Diffusions suite of image-generation models and third-party apps like (Lensa, Wonder, and NightCafe) have amassed over 40 million users (Source: Stability AI).
  • With over 40M users, Stable Diffusion is the most used AI art generator in the world, with Midjourney taking second place. (Source: Stability AI)
  • According to Google Trends, the worldwide popularity of Stable Diffusion has dropped roughly 30% from the high of April 2023 to September 2023. The popularity seems to be still declining from the high of April 2023. (Source: Google Trends)

DALL·E 2

  • DALL·E 2 is preferred over DALL·E 1 when evaluators compared each model. 71.7% of the evaluators preferred caption matching, and 88.8% preferred photorealism. (Source: DALL·E 2, OpenAI)
  • OpenAI has stated that there are more than 1.5M users, generating over 2M images daily with DALL·E. (Source: DALL·E 2, OpenAI)

Checkpoint Models

  • There are over 20,000+ checkpoint models developed for AI art generation. (Source: Civitai, Mage)
  • The most used base model for training checkpoint models is SD v1.5. (Source: Civitai)

Job Market

  • Searches for AI-related services have increased over 1400% in the last six months (August 2022-January 2023) on Fiverr. (Source: Business Wire)
  • Fiverr already has 18 different AI services they offer on their platform. (Source: Fiverr)
  • Around 94% of Japanese creators expressed concerns about AI causing harmful effects like rights infringement. 25,000 applicants participated in the survey conducted by Arts Workers Japan. (Source: TBS News Dig)
  • Upwork offers more than 150 AI art jobs on their site. (Source: Upwork)

Salary

  • Entry-Level AI Artist:
    • Annual Salary Range: $40,000 – $60,000
    • Monthly Income Range: $3,000 – $5,000
  • Experienced AI Artist:
    • Annual Salary Range: $70,000 – $100,000
    • Monthly Income Range: $5,800 – $8,300
  • Lead AI Artist or Art Director:
    • Annual Salary Range: $100,000 – $150,000 or more
    • Monthly Income Range: $8,300 – $12,500 or more
  • Freelance AI Artist:
    • Monthly Income Range (per month): $2,000 – $8,000 or more
    • Hourly Rate Range: $50 – $200 per hour
  • Source: Graphics Gaga

Hardware, Software, and Training

  • ByteDance (TikTok) has ordered around $1 billion worth of Nvidia GPUs in 2023 for AI development, which amounts to around 100,000 units. (Source: Tom’s Hardware)
  • GPT-3, the model underlying ChatGPT, has 175 billion parameters. (Source: Nature)
  • By 2030, the energy required to train a leading AI model could exceed global yearly energy expenditure. (Source: Nature)
  • Training large AI models like GPT-3 costs around $12 million. (Source: Nature)
  • The training cost of Stable Diffusion was close to $600,000 and took over 150,000 GPU hours on AWS servers. (Source: AIM)
  • In 2017, 48% of companies cited high technology costs as a primary reason for not implementing AI-driven solutions. (Source: ARK Invest)
  • The training cost for large language models like GPT-3 dropped from $4.6 million in 2020 to $450,000 in 2022, representing a decline of 70% per year in training costs for AI models. (Source: ARK Invest)

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Okuha

Digital Artist

I’m a digital artist who is passionate about anime and manga art. My true artist journey pretty much started with CTRL+Z. When I experienced that and the limitless color choices and the number of tools I could use with art software, I was sold. Drawing digital anime art is the thing that makes me happy among eating cheeseburgers in between veggie meals.

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