6 Steps to Get AI to Recommend Your Brand

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

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
• AI Agents

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

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 global AI market is worth an estimated $900 billion in 2026 (up from $757.58 billion in 2025) – Precedence

• Total generative AI market size is projected to reach $324.68 billion by 2033, growing at a CAGR of 40.8% – Grand View Research

• Spending on generative AI software is estimated to hit $52.2 billion by 2028, up from $5.1 billion in 2023 – S&P Global

• VC investments in AI startups worldwide hit $45 billion across more than 1,000 deals in Q3 2025 alone – Crunchbase

• Top AI startups collectively raised more than $788 million in their most recent rounds alone as of Q4 2025 – Harmonic

• 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.

• 78% of companies worldwide use AI daily – Exploding Topics

• 88% of global companies currently use AI in at least one business function, up from 78% a year ago – McKinsey

• An estimated 116.9 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

• 27.1% of American working adults claim to use generative AI for work, with 6.6% using it daily – NBER

• ChatGPT has over 800 million weekly active users – TechCrunch

• ChatGPT reached 100 million monthly active users in 2 months after launch – Reuters

• In a survey of CEOs, 69% of respondents believe that generative AI offers broad benefits for their organization – Oliver Wyman Forum

• 77% say AI’s long-term impact has been underestimated – 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.

• 60% 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, 17% of respondents claim to have extensively integrated AI into their marketing strategy. Another 39% report partial AI integration – 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

• 65% of marketers measure AI ROI by increased productivity, followed by time saved across teams (58%) – HubSpot

• When it comes to writing copy using AI, over half (55%) of marketers who use AI rely on automated tools to make minor edits before publishing – HubSpot

• Most commonly used AI tools by marketing professionals include: chatbots (40%), image or design generators (40%), smart AI video or audio editing AI tools (36%) – HubSpot

• Among marketers, the most common use cases for AI in content creation include: email marketing or other newsletter/email format platforms (51%), social media (text-based) (49%), and social media (video/audio platforms) (47%) – HubSpot

• The majority of in-house agency teams are either experimenting with (65%) or partially implementing (71%) AI within their processes – WFA

• 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

• 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

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.

• As of 2025, half of all American adults said they were “more concerned than excited about AI” (that’s up from 37% in 2021) – 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

• Almost 2 in 3 (64%) 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 are forecast to replace 4.9% of jobs in the US by 2030 – Forrester

• 32% of US workers think that AI use in the workplace will result in a decrease of available job opportunities to them – Pew Research Center

• Around half (49%) of AI decision-makers say they are worried about the displacement of human jobs by the 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 3 in 5 people (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

6. AI Agents

This section reviews the rise of AI agents, focusing on key statistics regarding the adoption of AI agents, the most common use cases for AI agents, projected market size, and more.

• As of Q3 2025, 42% of respondents (at US companies with annual revenue of over $1 billion) claim to use AI agents at their organizations. That’s up from 11% in Q1 2025 – KPMG

• More than half (76%) of large US organizations are looking into the use of AI agents – KPMG

• 70% of executives agree with the statement that AI agents could help their organization outperform their goals – Salesforce

• The worldwide AI agents market size is forecast to reach $26.8 billion in 2028, up from $5.4 billion in 2024 – BCG

• The global market for AI agents is projected to expand at a CAGR of 49.6% between 2026 and 2033 – Grand View Research

• By 2028, a forecast suggests that 33% of enterprise software applications will adopt AI agents, up from less than 1% in 2024 – Gartner

• Among consumers, 30% express a willingness to interact with an AI agent for quicker service, a share that rises to 37% among the Gen Z and millennials – Salesforce

• 30% of millennials are willing to let AI agents take care of their shopping. Among baby boomers, that share drops to 15% – Salesforce

• Over one-third of Gen Z and millennial consumers (34% and 33%, respectively) are willing to provide their personal information to an AI agent, allowing it to more effectively anticipate their needs – Salesforce

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.