100+ AI Statistics and Trends in 2024

AI Trends are popular than ever. What does research say about AI statistics and trends in 2024? We will update in this article for your insights.
ai-statistics
Daan van Rossum
Daan van Rossum
Founder & CEO, FlexOS
I founded FlexOS because I believe in a happier future of work. I write and host "Future Work," I'm a 2024 LinkedIn Top Voice, and was featured in the NYT, HBR, Economist, CNBC, Insider, and FastCo.
January 10, 2024
15
min read

100+ AI Statistics and Trends in 2024

Below are 100+ AI Statistics and Trends as of January 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

  • OpenAI’s ChatGPT has taken off in record-breaking fashion. According to OpenAI, even Chat GPT, the most talked about AI tool, surpassed 10 lakh users in mere five days, after its launch in November 2022. (Forbes)
  • The maximum proportion of ChatGPT users reside in the U.S. (15.22%) followed by India (6.32%), Japan (4.01%) and others. (DemandSage)
  • The market size in the Artificial Intelligence market is projected to reach US$305.90 billion in 2024. (Statista)
  • 32.9% of businesses have already replaced some human tasks with AI solutions. (IBM)
  • Nearly 20 million manufacturing jobs could be lost due to automation by 2030. (Oxford Economics)
  • 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 job of 2023 can pay over $200,000 and offers remote opportunities. (CNBC)
AI Statistics of IBM
  • Netflix makes $1 billion annually from automated personalized recommendations. (Business Insider)
  • 48% of businesses use some form of AI to utilize big data effectively. (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 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)
  • It was recorded that 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 billion ($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)
  • Forecasts indicate that by 2024, the world will have over 8.4 billion digital voice assistants like Siri, Google Assistant, and Alexa in use – a number higher than the global population. (Statista)
  • 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

  • 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)
AI Statistics of McKinsey 7
Data: McKinsey
  • 55% of those working in marketing are already using generative AI, with another 22% planning on adopting it in the near future. (Salesforce)
AI Statistics of Salesforce
Data: Salesforce

State of AI Adoption in the Online Marketing Industry (Authority Hacker)

  • 75.7% of marketers are now using AI tools for work. This shows just how fast AI has been adopted in the industry.
  • AI is being used regularly too, with 49.5% of marketers using AI tools multiple times per week or more.
AI Statistics of Authority Hacker
Data: Authority Hacker
  • Just recently, many marketers were worried about losing search traffic to AI. Now only 30.1% of Marketers think AI will negatively impact search traffic in 5 years.
  • There is concern about service providers not disclosing the use of AI in their work. 54.9% of respondents suspect they’ve received undisclosed AI content from a service provider.
  • 69% of marketers are using ChatGPT, largely due to OpenAI making it widely available for free to everyone.
AI Statistics of Authority Hacker 2
Data: Authority Hacker
  • AI content quality is already seen as really good. 65.8% of people think AI content is equal to or better than human writing.
  • 63% of AI adopters cite inaccuracies in AI content as a major challenge. This is widely known but hasn’t put many people off using AI.
  • 85.1% of marketers are using AI for article writing. This is a very large percentage and shows just how popular AI content creation has become in a short amount of time.
AI Statistics of Authority Hacker 3
Data: Authority Hacker
  • It is becoming incredibly important to know about AI for your job. 98.1% of marketers acknowledge that some understanding of AI is important for their job.
  • AI is putting some jobs more at risk than others. 81.6% of marketers think content writers’ jobs are at risk because of AI.
  • Companies are already replacing people. 32.9% of businesses have already replaced some human tasks with AI solutions.
  • 60% of marketers feel positive about the rise of the AI industry. The sentiment is largely positive as marketers have lots to gain from using this technology.

5. AI and Productivity

  • AI is expected to contribute $15.7 trillion to the global economy by 2030, more than the current output of China and India combined. (PwC)
AI Statistics of PwC
Data: PwC
  • Worker productivity was boosted by 14% with artificial intelligence tools such as ChatGPT in one of the tech firms. This research is thought to be the first major real-world application of generative AI in the workplace which measured productivity of more than 5,000 customer support agents. (CNBC)
  • 97% of business owners believe that ChatGPT will benefit their businesses. In fact, one in three businesses plan to use ChatGPT to create website content, while 44% aim to generate content in multiple languages. (Forbes)
  • Support agents who used AI could handle 13.8% more customer inquiries per hour. (Neilsen Norman Group)
  • Business professionals who used AI could write 59% more business documents per hour. (Neilsen Norman Group)
  • Programmers who used AI could code 126% more projects per week. (Neilsen Norman Group)
AI Statistics of Neilsen
Data: Neilsen Norman Group. The measured increase in users’ task performance when using generative AI tools (relative to control groups of users who did not use AI), according to the three research studies discussed here
  • Generative AI will likely make 90% of data processing positions automatable, and some 80% of data collection positions. (Statista)
  • Over 60% of business owners believe AI will increase productivity. Specifically, 64% stated that AI would improve business productivity, and 42% believe it will streamline job processes. (Forbes)
  • AI is expected to improve productivity by 40% by 2035. (PwC)
  • 52% of telecommunications organizations utilize chatbots to increase their overall productivity and 38% of healthcare providers rely on computer-assisted diagnostics. (Gartner)
  • AI could boost U.S. labor productivity growth by 1.5 percentage points over a 10-year period. (Statista)

6. Impact of AI on Employment and Workforce

  • Within three years, generative AI might rise to 44% of occupations affected and $4.1 trillion of associated labor costs. (Morgan Stanley)
  • The most commonly reported uses of generative Al tools are in marketing and sales, product and service development, and service operations. (McKinsey)
ai-statistics-mckinsey-2
Data: McKinsey
  • AI-related talent needs shift, and AI’s workforce effects are expected to be substantial. (McKinsey)
  • Almost half (41%) of respondents to the latest quarterly survey of the CNBC CFO Council say they believe AI will destroy more jobs than it creates. (CNBC)
  • A substantial 77% of people expressed their apprehension that AI could bring about job losses in the imminent future, indicating widespread concern about the potential impact of technology on employment opportunities. (Forbes)
  • As AI evolves, it could displace 400 million workers worldwide. A McKinsey report predicts that between 2016 and 2030, AI-related advancements may affect around 15% of the global workforce. (McKinsey)
AI Statistics of McKinsey 1
Data: McKinsey
  • According to World Economic Forum research, AI is projected to create around 97 million new jobs, potentially countering workforce displacement concerns. (World Economic Forum)
  • Information and Communication, Manufacturing and Financial Services are the three sectors that will see the highest annual GVA growth rates in an AI scenario, with 4.8%, 4.4% and 4.3% respectively by 2035. (Accenture)
AI Statistics of Accenture
Data: Accenture
  • 24% of business owners express concern about AI’s potential impact on their website traffic, reflecting the uncertainties some businesses face regarding the integration of AI in their operations. (Forbes)
  • According to Forbes Advisor, a staggering 97% of business owners believe that ChatGPT will benefit their businesses. One in three businesses plan to use ChatGPT to create website content, while 44% aim to generate content in multiple languages. (Forbes)
  • 64% of business owners believe AI has the potential to improve customer relationships, indicating a positive outlook on the role of AI in enhancing client interactions. (Forbes)
  • 43% percent of businesses are concerned about technology dependence, and an additional 35% worry about having the technical skills to use AI effectively. These concerns highlight the challenges that organizations face while adopting AI technologies. (Forbes)
  • One-third of businesses are concerned about misinformation from AI. (Forbes)
AI Statistics of Forbes 4
Data: Forbes
  • In 2024, 44% of companies who use AI or plan to by next year say employees will definitely (21%) or probably (23%) be laid off due to the use of AI. (ResumeBuilder)
AI Statistics ResumeBuilder 1
Data: ResumeBuilder
Want to learn more about AI? Check out our guide to AI in the Workplace, and AI in HR.
  • Ninety-one percent of companies using or planning to start using AI in 2024 will hire new employees next year, and 96% say it will be very beneficial (65%) or somewhat beneficial (31%) for candidates to have experience with AI. (ResumeBuilder)
  • Additionally, 83% of this same group say employees who have AI skills will definitely (45%) or probably (38%) have more job security at their company than those who do not. (ResumeBuilder)
AI Statistics ResumeBuilder 2
Data: ResumeBuilder
  • Companies that use AI for sales were able to increase their leads by more than 50% — reduce call time by 60-70%, and realize cost reductions of 40-60%. (Harvard Business Review)
  • 68% of C-suite respondents acknowledged that their company has made AI decisions that do not align with the best interests of employees. (UKG)
  • 75% of workers admitted they would be more excited about AI if their company was transparent about how they were using it (UKG)
  • 71% of C-suite leaders say increasing/advancing their use of AI is either a high or medium priority for their organization, citing the competitive advantage AI can bring. In fact, 62% of executives say they are at least slightly concerned that their company isn’t moving fast enough with AI. (UKG)
  • A recent survey of 1,600 C-suite professionals and data leaders found that nearly three-fourths of companies have already integrated AI into their business strategies (Accenture)
  • Globally, 75 million to 375 million workers may need to switch occupational categories and learn new skills. (McKinsey)

7. Top AI Tools Globally (FlexOS)

  • 3 out of the top 10 applications are in education: Brainly, CourseHero, and Turnitin. The full top 10 looks as follows:
  • With 1.67 billion visits, ChatGPT represents over half of this traffic and is already bigger than Netflix, Microsoft, Pinterest, Twitch, and The New York Times.
  • ChatGPT is the leader by a mile, taking over 50% of the billions of monthly visits. Other "General GPTs" like Bing AI, Bard, Claude, and Microsoft Copilot: together they take 66% of all Generative AI usage.
  • The top 5 categories of AI usage: Writing & Editing, Education, Social & Characters, Research, Image Generator. Without ChatGPT, Bing AI, Bard, Claude, and Microsoft Copilot, this is how the top AI categories break down:
  • ChatGPT takes the cake in the category of General GPT Tools. When people learn how to use AI, they often start with ChatGPT or one of its competitors – and that shows.

             ChatGPT (Overall Top 150 Rank: 1): 76% (of the category)

             Bing AI (2): 16%

             Bard (5): 7%

             Claude (27): 1%

             Microsoft Copilot (46): 0%

  • Tools like Copy.AI and Grammarly are amongst our favorite AI websites, and the public agrees. Especially Grammarly stands out as a huge hit, leading this category by a long distance, while also being the #4 of the overall Top 150. The other tools in the Writing and Editing category are:

             Grammarly AI (Overall Top 150 Rank: 3): 71% (of the category)

             Simplified AI (16): 6%

             ZeroGPT (Rewriter & Detector) (24): 4%

             Copy.AI (32): 3%

             WriteSonic (33): 3%

             Undetectable AI (Rewriter) (36): 3%

             Wordtune (39): 3%

             Jasper.ai (42): 2%

              Rytr.me (53): 1%

              Shortly (92): 0%

  • In the top AI Education tools:

             Brainly (Homework Help) (6): 42%

             CourseHero (Tutoring) (7):36%

             Turnitin (AI Detection) (9): 17%

             ELSA (English Coach) (29): 5%

             MagicSchool (Teacher Help) (95): 1%

             Caktus (Student Tools) (90): 0%

  • Just like in the General GPT and Writing categories, there's one big winner amongst the 'chat with me' AI platforms, and it's Character.AI. The full category includes:

             Character.AI (#4 in the total Top 150): 89% (of the category's traffic)

             AI Chatting (38): 5%

             Chai (61): 1%

             Candy AI (64): 2%

             Anima (74): 1%

             ChatFAI (76): 1%

             Replika (77): 1%

             ora.ai (86): 0%

             Romantic AI (99): 0%

             DreamTavern (101): 0%

  • With one tool in the top 10, and a few directly outside of it, these are the most used AI image generators:

            DeepAI (10): 19% (of the category's traffic)

            Midjourney (12): 16%

            Canva Image Generator (13): 16%

            Looka (18): 14%

            Adobe Firefly (19): 10%

            Hotpot (21): 9%

           NightCafe (25): 7%

           Soulgen (55): 5%

           Brandmark (56): 1%

           Artflow (70): 1%

  • So, besides some of these category leaders, who exactly are amongst the top 150 biggest AI platforms in the world?
    From ChatGPT to AI Presentations and AI boyfriends, here is the full top 150, fifty at a time:

If we missed you or your numbers don't seem quite right, please contact us.

For more on (getting started with) AI, check out my other articles:

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