Generative AI and ChatGPT stats to know in 2023

Even before the release of ChatGPT in November 2022, in recent years, generative AI technology has become increasingly popular, due to its variety of use cases — from text-based conversations to image recognition and natural language processing. (Learn more about other generative AI examples.) Companies can also use generative AI to create synthetic data for training machine learning models. It can also be used to produce creative outputs, such as music and art.

As the use of ChatGPT, artificial intelligence (AI), and generative AI becomes increasingly prevalent, it's important to be aware of the latest statistics surrounding these technologies.

We've researched and compiled all the key stats you should know, grouped into the following sections:

• Adoption of generative AI

• AI and Generative AI market

• AI's impact on businesses

• Other generative AI stats

Adoption of generative AI

• ChatGPT exceeded 1 million users 5 days after its launch (Greg Brockman, Co-Founder of OpenAI)

• DALL-E, which uses OpenAI to generate images, took about 2.5 months to reach 1 million users (Sam Altman, Co-Founder of OpenAI)

• GitHub Copilot, an AI-based programming tool for developers, had 400,000 subscribers within the first month of its release (Microsoft)

• In the United States, adoption rate of generative AI in the workplace is the highest for Gen Z at 29% (Statista)

• The technology sector is the top sector working with OpenAI, followed by education. (Enterprise Apps Today)

• 48% of individuals believe that neither Photoshop nor generative AI should be used in social media advertising (Statista)

Expected adoption of generative AI

• By September 2023, generative audio tools will emerge and attract over 100,000 developers (stateof.ai)

• By 2025, 30% of outbound messages from large organizations will be synthetically generated, up from less than 2% in 2022. (Gartner)

• By 2025, generative AI will account for 10% of all data produced, up from less than 1% in 2021 (Gartner)

• By 2025, more than 30% of new drugs and materials will be systematically discovered using generative AI techniques (Gartner)

• By 2030, a major blockbuster film will be released with 90% of the film generated by AI, from text to video (Gartner)

• By 2024, 60% of data used for the development of AI and analytics projects will be synthetically generated (Gartner)

AI and Generative AI market

• In 2021, the artificial intelligence market was valued at approximately $59.67 billion USD and is projected to reach roughly $422.37 billion USD by 2028. (Zion Market Research)

• The generative AI market is projected to reach $110.8 billion USD by 2030 (Acumen)

• The Asia Pacific is the fastest growing regional market for generative AI (Acumen)

• The revenue forecast for the artificial intelligence market in 2030 is $1.8 trillion USD (Grand View Research)

Investment in AI-related technologies

• AI-enabled drug discovery and AI software coding are the two areas in AI that have received the most funding from venture capital firms over the last three years (Gartner)

• In 2021, there was $93.5 billion USD of private investment in AI-related companies, which is double compared to 2020 (McKinsey)

• More than two-thirds of generative AI companies have not yet raised a Series A round (or later) (CB Insights)

AI's impact on businesses and performance

• 78% of customer service professionals feel optimistic about AI (Dialpad)

• An average of 79% of leaders report a cost decrease via AI adoption (McKinsey)

• Contact centers that actively use Dialpad Ai are over 2 times more efficient (Dialpad)

• 66% of customer service professionals say that using AI has a positive impact on business performance (Dialpad)

• Using Codex, a code generation tool, developers at Deloitte found a 20% improvement in code development speed (HBR)

Other generative AI stats

• China dominates the search interest for ChatGPT, followed by Nepal and Singapore (Wired)

• OpenAI’s AI detection software, known as classifier, can correctly identify 26% of AI-written text, while mislabeling human-written text as AI-written 9% of the time (OpenAI)

• The GPT-3 language model has been trained on 175 billion parameters (OpenAI)

References

¹ help.openai.com/en/articles/6783457-chatgpt-general-faq