Generative AI market size to hit $110.8bn and other AI stats every marketer should know
The AI revolution has arrived. Here are some of the key numbers that can help you understand the brave new world of intelligent machines.
Images created by Midjourney using the prompt: “A futuristic computer screen displaying numbers.”
Artificial intelligence (AI) has been around for decades, but it has dramatically captured public attention in recent months, thanks largely to the release of generative AI platforms like ChatGPT, Midjourney and DALL·E 2. Every marketer suddenly seems to be talking about AI, and brands are gearing up for the impending wave of intelligent machines that are cresting the horizon and will eventually wash over virtually every industry.
In an effort to help you wrap your mind around the currently unfolding AI revolution, we’ve compiled this list of illuminating statistics and figures about the technology's past, present and future. [Note: Like our glossary of AI terms, we’ll be updating this list regularly, so we recommend checking in from time to time to see what’s been added.]
$119.78bn: The estimated value of the global AI market in 2022, according to a recent report from Precedence Research.
$1,597.1bn: The estimated value of the global AI market by 2030, per Precedence Research.
$7.9bn: The estimated value of the global generative AI market size in 2021, according to a recent report from Acumen Research and Consulting.
$110.8bn: The estimated value of the global generative AI market size by 2030, according to Acumen Research and Consulting.
30%: The percentage of outbound messages from large companies that will be created by generative AI by 2025, according to an October 2022 report from Gartner.
35%: The percentage of companies that “reported using AI in their business,” according to the IBM Global AI Adoption Index 2022.
42%: The percentage of companies that reported they are “exploring AI,” per the IBM Global AI Adoption Index 2022.
66%: The percentage of companies that “are either currently executing or planning to apply AI to address their sustainability goals,” according to the IBM Global AI Adoption Index 2022.
60%: The percentage of IT professionals in China and India who report that “their organization already actively uses AI,” per the 2022 IBM data. IBM also notes that that figure is a dramatically higher rate of adoption than in markets like South Korea (22%), Australia (24%), the US (25%) and the UK (26%).”
1950: The year in which British mathematician Alan Turing – in a paper titled “Computing machinery and intelligence” – first theorized the concept of what would later come to be known as AI. Turing also first conceptualized the idea of digital computers in 1936.
1.56tn: The number of words in the dataset that was originally used to program LaMDA, a generative AI model developed by Google.
175bn: The number of parameters used by GPT-3 – a collection of large language models developed by OpenAI, which serves as the framework for ChatGPT – to generate text.
5: The number of days that passed after the launch of ChatGPT in November 2022 for the generative AI model to reach more than one million users.
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