41 Key AI Statistics

This is a complete list of the most important AI statistics every marketer needs to know in 2024.

So if you want to find data and facts on:

• AI Market Size
• AI Adoption
• AI Use by Marketers
• Consumers Views on AI
• AI Impact on Jobs and Employment

You’ll love the massive list of up-to-date stats on this page.

Here’s a summary of what you’ll learn:

• 1. AI Market Size
• 2. AI Adoption
• 3. AI in Marketing
• 4. Consumer Perspectives on AI
• 5. AI Impact on Employment

1. AI Market Size

The AI market is booming, with projections showing a massive increase in revenue, investments, and the number of companies in the field.

This section presents key statistics highlighting the rapid growth of both general AI and generative AI markets.

• The AI-centric software market’s annual revenue worldwide is forecasted to hit approximately $251 billion in 2027 (up from $64 billion in 2022) and that’s excluding generative AI software – IDC
• Spending on generative AI platforms and applications is estimated to hit $55.7 billion by 2027 – IDC
• VC investments in AI startups worldwide hit nearly $50 billion in 2023 (up from $45.8 billion in 2022) and accounted for approximately 17.5% of all startup investments – Crunchbase
• The market revenue of GenAI alone is forecasted to reach $38.6 billion by 2028 (nearly x5 increase from $7.78 billion in 2024) – S&P Global
• There are over 1,500 companies operating solely in the AI software space – S&P Global

  

• The AI ecosystem consists of more than 29,900 companies in the US, UK, and EU alone – Statista
• Enterprise spending on generative AI solutions (software, hardware and IT/business services is estimated to hit $143 billion by 2027 vs. $16 billion in 2023 – eMarketer

2. AI Adoption

AI adoption is surging globally, with enterprises and individuals increasingly using it.

This section covers key stats on the widespread use of AI, especially generative AI, in businesses and the rapid growth of platforms like ChatGPT.

• 42% of enterprise companies worldwide (with over 1,000 employees) actively use AI – IBM

  

• An estimated 100.1 million people in the US use generative AI at least once a month – eMarketer
• 54% of US companies with over $500 million in annual revenue have already implemented generative AI at least in some areas of their businesses – PwC
• Around 35% of American employees report using generative AI at least once a week; 11% of respondents say they use it daily – Oliver Wyman Forum
• ChatGPT website has over 140 million monthly active users – Similarweb
• ChatGPT reached 100 million monthly active users in 2 months since launch – Reuters
• In a survey of CEOs, 69% of respondents believe that generative AI offers broad benefits for their organization – Oliver Wyman Forum
• 72% of US CEOs say “generative AI is a top investment priority despite uncertain economic conditions” – KPMG

3. AI in Marketing

AI is increasingly shaping the marketing landscape, with a significant number of US companies integrating generative AI into their strategies.

This section outlines the growing use and investment in AI by marketing professionals, highlighting its diverse applications from content creation to SEO and data analysis.

• 50% of companies in the US implemented generative AI in their marketing initiatives (more than the global average of 37%) – Capgemini

  

• In a survey of marketing decision-makers, 15% of respondents claim to extensively use AI in their marketing efforts. Another 51% use AI to some extent – Ascend2
• 29% of marketing executives say that they are very likely to increase investment in AI for marketing in the next 12 months – Ascend2
• The top 5 use cases of generative AI in marketing include: data analysis (62% of surveyed CMOs use AI for this use case at least sometimes), personalized customer experience (60%), campaign creation (56%), search engine optimization (56%), image and video generation (59%) – Capgemini
• 37% of marketers claim to use AI tools for time-consuming SEO tasks – HubSpot

  

• When it comes to writing copy, over half (53%) of marketers who use AI rely on automated tools to make minor edits before publishing – HubSpot
• Most commonly used AI tools used by marketing professionals include: chatbots (53%), text generation tools (44%), visual tools (44%), audio tools (31%) – HubSpot
• Among marketers, the most common use cases to use AI in content creation include: finding ideas and inspiration (45%), creating outlines (31%) and drafting content (18%). Only 6% of respondents claim to use AI for writing content – HubSpot
• 85% of B2B and B2C marketing professionals say that “generative AI will have a transformative impact on content creation in 2024” – HubSpot
• Only 17% of in-house agencies use AI compared to 56% of B2C marketers – Marketing Dive
• The vast majority (82%) of marketers and communicators expect improved productivity with the future usage of AI tools – The Conference Board
• Less than half (43%) of marketing and communications professionals think that the usage of AI will lead to improvements in work quality. Another 27% believe work quality will be negatively impacted by AI usage – The Conference Board
• One survey found that more junior/mid-level marketers use AI tools compared to senior marketers (64% vs. 72% who say they use AI in their daily work at least sometimes) – The Conference Board
• Around 39% of full-time marketers say they don’t know how to safely use generative AI – Salesforce

  

• In a survey of marketing professionals, 70% of respondents claimed that their employer didn’t provide any generative AI training yet – Salesforce
• 79% of US CMOs plan to invest in AI in 2024. Among those planning to invest, 60% of them consider allocating more than 10% of their marketing budget on AI – Matter

4. Consumer Perspectives on AI

This section explores consumer perspectives on AI, highlighting mixed feelings among American adults.

It covers their concerns, interest in using AI for shopping and product research, desire for AI training at work, and its perceived effects on productivity.

• Over half (52%) of American adults say they are “more concerned than excited about AI” (that’s up from 38% a year ago) – Pew Research Center
• Around 59% of US adults say they’re interested in using AI-powered chatbots for product research when shopping – eMarketer

  

• While 68% of US employees want AI training at work, only 51% of them currently receive AI training – Oliver Wyman Forum
• More than 6-in-10 (64%) of white-collar employees claim that their productivity has improved with the usage of generative AI – Oliver Wyman Forum

5. AI Impact on Employment

This section examines the potential impact of AI on employment, discussing forecasts about job displacement and public sentiment regarding AI’s influence on the job market and the economy.

• AI may impact nearly 40% of global employment. In the US alone, around 60% of jobs are exposed to AI – International Monetary Fund
• Automation and AI is forecasted to replace 4.9% of jobs in the US by 2030 – Forrester
• 74% of Americans agree that more AI integrations will lead to higher unemployment – American Staffing Association

  

• Around half (49%) of AI decision-makers say they are worried about displacement of human jobs by use of generative AI – Forrester
• In the next few years, it is forecasted that around 85 million jobs worldwide will be displaced due to AI – Oliver Wyman Forum
• Around six-in-ten (62%) believe that AI will have a major impact on workers generally in the next 20 years. Similarly, 56% of respondents think that AI will have a major impact on the US economy – Pew Research Center

Conclusion

We hope you enjoyed this list of AI statistics.

We regularly update this list of statistics. So feel free to check this page later for new insights.