January 10, 2024

100+ AI Statistics and Trends in 2025

AI is more popular than ever at work. What does research say about AI statistics and trends in 2025? Find the latest and greatest here.
Daan van Rossum
By
Daan van Rossum
Founder & CEO

Presented by

Below are 100+ AI Statistics and Trends as of October 2024. We will update this article frequently to ensure you have the most current insights and data available!

1. Top AI Statistics

2. AI Market Size and Growth

3. Sentiments about AI

4. State of Global AI Adoption

5. AI and Productivity

6. Impact of AI on Employment and Workforce

7. Top AI Tools Globally

1. Top AI Statistics

  • The Artificial Intelligence market is projected to reach US$305.90 billion in 2024. (Statista, 2024)
  • The AI market is projected to reach a staggering $407 billion by 2027, experiencing substantial growth from its estimated $86.9 billion revenue in 2022. (Forbes, 2024)
  • 68% of CEOs are now prioritizing AI investments, with 21% expecting returns in just three years. (KPMG, October 2024.)
  • In the UK, the AI market is worth more than 16.8 billion, according to the US International Trade Administration, and is expected to grow to 801.6 billion by 2035. (Forbes, 2024)
  • AI is expected to contribute a significant 21% net increase to the United States GDP by 2030, showcasing its impact on economic growth. (Forbes, 2024)
  • 32.9% of businesses have already replaced some human tasks with AI solutions. (IBM)
  • ChatGPT’s remarkable adoption rate is evident as it garnered 1 million users within the first five days of its release (Forbes, 2024), 100 million within the first months, and now see billions of visits monthly.
  • 75% of employees globally now use AI at work. (Microsoft)
  • Searches for generative AI jobs on Indeed have increased almost 4,000% in the last year, and openings for generative AI jobs are up 306% over the same period. (CNBC)
  • The most in-demand AI jobs of 2024 can pay over $200,000 and offers remote opportunities. (CNBC)
AI Statistics of IBM
  • By 2026, more than 80% of enterprises will have used generative artificial intelligence (GenAI) application programming interfaces (APIs) or models, and/or deployed GenAI-enabled applications in production environments, up from less than 5% in 2023 (Gartner, Inc.)
  • 57% of all respondents use Generative AI tools at least monthly, and 40% use Generative AI at least once a week. (FlexOS)
  • ChatGPT’s remarkable adoption rate is evident as it garnered 1 million users within the first five days of its release. (Forbes, 2024)
  • OpenAI’s ChatGPT took off in record-breaking fashion. According to OpenAI, even Chat GPT, the most talked about AI tool, surpassed 1 million users in mere five days, after its launch in November 2022. (Forbes)
  • Most ChatGPT users reside in the U.S. (15.22%) followed by India (6.32%), Japan (4.01%) and others. (DemandSage)
  • ChatGPT is the undisputed leader in Generative AI (75%). Following are Grammarly AI (35%), Google Bard (33%), and Microsoft Copilot (25%). Other tools that knowledge workers are familiar with are Adobe Firefly (23%), Copy.AI (15%), Dall-E (12%), Coda (9%), and Notion AI (9%). (FlesOS)
  • 9 out of 10 organizations are choosing AI to have a competitive edge over the industry competition. (MIT Sloan Management)
  • Meta is planning to build a $1.1 billion data center which it expects to use about 665 million liters (176 million gallons) of water a year, and up to 195 liters per second during “peak water flow" (Bloomberg)
  • 81% of Generative AI users say the technology has improved their productivity, including 43% who say it significantly improved it. Less than 1% say it decreased their productivity. (FlexOS)
  • One in two say Gen AI helps them automate Email and Communication, and almost as many (45%) use it for Data Analysis and Reporting. 42% use Generative AI tools for research. Content creation, often considered the main application of Generative AI, comes in fourth at 39% for writing and editing and 22% for design tasks.
  • Generative AI upskills humans, not replace them: 87% found that using Generative AI helped them develop new skills. Of these, 63% say it has helped them develop creative and analytical skills, and 53% say it has helped them develop technical skills.  
  • Users are positive about the role of generative AI in the future of their profession: 92% said they expect it to have a positive impact, with 46% saying it will have an extremely positive impact.
  • The revenue generated from generative AI services will hit $188 billion by 2032, driven by increased AI adoption across all industries and the desire by businesses to leverage data for decision-making. (Brainy Insights)
AI Statistics of Brainy Insights
Data: Brainy Insights

2. AI Market Size and Growth

  • The market size in the Artificial Intelligence market is projected to reach US$305.90 billion in 2024. (Statista)
AI Statistics of Statista 1
  • The market size is expected to show an annual growth rate (CAGR 2024-2030) of 15.83%, resulting in a market volume of US$738.80 billion by 2030. (Statista)
  • In global comparison, the largest market size will be in the United States (US$106.50billion in 2024) (Statista)
  • AI technology is affecting every domain, and businesses are not shying away from adopting AI. Big companies like IBM, Google, and Microsoft are already invested in AI. With that, the AI market will experience a swell and reach around $1.81 trillion by 2030. (Nextmsc)
AI Statistics of Next Move Strategy Consulting 1
  • The automotive AI market is projected to expand from USD 2.6 billion in 2022 to USD 9.6 billion by 2030, at a 27.2% annual rate between 2022 and 2030. (Market Research Future)
AI Statistics of Market Research Future 1
Data: Market Research Future
  • The United States will have a consistent investment in AI. With an expected annual growth rate of 15.36%, the total market volume is predicted to reach $237 billion by the year 2030. (Statista)
  • It was recorded that 9 out of 10 organizations are choosing AI to have a competitive edge over the industry competition. (MIT Sloan Management)
  • The greatest economic gains from AI will be in China (26% boost to GDP in 2030) and North America (14.5% boost), equivalent to a total of $10.7 trillion and accounting for almost 70% of the global economic impact. (PwC)
  • Around half of the US-based healthcare providers are planning to deploy AI tools such as (Robotics Process Automation) RPA in their healthcare facilities by the end of 2023. (Gartner)
  • The global AI in drug discovery market in terms of revenue was estimated to be worth $0.9 billion in 2023 and is poised to reach $4.9 billion by 2028, growing at a CAGR 40.2% from 2023 to 2028. (MarketsandMarkets)
AI Statistics of MarketsandMarkets
Data: MarketsandMarkets
  • The global robotic process automation in healthcare market size was evaluated at USD 1.4 billion in 2022 and is expected to hit around USD 14.18 billion by 2032 with a registered CAGR of 26.1% from 2023 to 2032. (Precedence Research)
AI Statistics of Precedence Research 1
Data: Precedence Research
  • The global healthcare service robots market size was valued at USD 4.06 billion in 2022 and is projected to reach around USD 8.02 billion by 2032, registering a CAGR of 7.1% during the forecast period 2023 to 2032. (Precedence Research)
AI Statistics of Precedence Research 2
Data: Precedence Research

3. Sentiments about AI.

  • 52% of people who use AI at work are reluctant to admit to using it for their most important tasks, while 53% of people who use AI at work worry that using it on important work tasks makes them look replaceable. (Microsoft)
  • A significant majority of consumers express concern about businesses using AI. As AI plays a larger role in various industries, addressing consumer apprehensions will be crucial for businesses. (Forbes)
AI Statistics of Forbes 1
Data: Forbes
  • Despite concerns about AI usage, 65% of consumers still trust businesses that employ AI technology. This suggests that when businesses use AI responsibly and transparently, they can maintain consumer confidence and even harness AI's potential to improve customer experiences. (Forbes)
AI Statistics of Forbes 2
Data: Forbes
  • Over half of respondents, 54%, believe that AI can improve written content, suggesting that AI-driven solutions such as ChatGPT have the potential to enhance text quality, creativity and efficiency in various content creation contexts. (Forbes)
  • The most popular AI uses include responding to messages, answering financial questions, planning travel itineraries and crafting social media posts as its versatility transforms everyday tasks. (Forbes)
AI Statistics of Forbes 3
Data: Forbes
  • Just 44% of employees globally believe they interact with AI in their personal lives, even though at least 90% say they’ve used at least one of the following: maps and navigation (66%), predictive product/entertainment suggestions, such as in Netflix and Spotify (50%), text editors or autocorrect (47%), virtual home assistants, such as Alexa and Google Assistant (46%), or intelligent chatbots (31%). (UKG)
  • Companies using AI today estimate that 70% of their total workforce will use AI to automate or augment some of their job tasks by 2028. The majority of C-suite leaders (71%) say advancing their use of AI is either a high or medium priority for their organization, and 62% of executives say they are at least slightly concerned that their company is not moving fast enough with AI. (UKG)
  • 76% of consumers are concerned with misinformation from AI tools and 44% believe there is a stark difference between human-based generated content and the one generated by chatbots. (Forbes)

4. State of Global AI Adoption

  • The global artificial intelligence market size is projected to expand at a compound annual growth rate (CAGR) of 37.3% from 2023 to 2030. It is projected to reach $1,811.8 billion by 2030. (GrandViewResearch)
  • China is the leader in AI adoption, with 58% of businesses deploying AI. (IBM)
  • 25% travel and hospital companies worldwide that are currently using chatbot technology are more likely to be the first adopters of AI chatbots. (Statista)
  • Inaccuracy, cybersecurity, and intellectual-property infringement are the most-cited risks of generative Al adoption. (McKinsey)
ai-statistics-mckinsey-2
Data: McKinsey
AI Statistics of Charter Works
Data: Charter
  • 19 in every 20 customer interactions will be AI-assisted by 2025 (AI Business)
  • Voice search is on the rise, with 50% of U.S. mobile users using it daily, according to UpCity. This trend showcases the growing prevalence of AI-powered voice assistants in everyday life. (UpCity)
  • The impact of automation by 2030 varies by a country’s income level, wage rates, demographics, and industry structure. (McKinsey)
AI Statistics of McKinsey 3
  • As labor shortages become a pressing concern, 25% of companies are turning to AI adoption to address this issue, according to an IBM report. AI helps businesses optimize operations and compensate for the lack of human resources. (IBM)
  • China leads in AI adoption, with 58% of companies deploying AI and 30% considering integration. In comparison, the United States has a lower adoption rate, with 25% of companies using AI and 43% exploring its potential applications. (IBM)
  • It was seen that 30% of IT professionals use AI to rectify labor and skill shortages. Also, AI is being deployed to minimize repetitive tasks. (IBM)
  • 70% of Generation Z use the technology and 52% of them trust it to help them make decisions. (Salesforce)
  • By 2023, retailers are expected to spend $12 billion on AI services, an increase of 230% from what they spent in 2019. (Juniper)
  • Less than one-third of respondents say their organizations use AI in more than one function - a share largely unchanged since 2021. (McKinsey)
AI Statistics of McKinsey 6
Data: McKinsey
  • Global spending on artificial intelligence (AI), including software, hardware, and services for AI-centric systems, will reach nearly $118 billion in 2022 and surpass $300 billion in 2026. (IDC Worldwide)
  • Inaccuracy, cybersecurity, and intellectual-property infringement are the most-cited risks of generative AI adoption. (McKinsey)
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