154 Eye-Opening AI Statistics of 2024

Written by
Ema Lukan
Published on
June 13, 2024
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Powered by big data, artificial intelligence is impacting our daily lives and reshaping the business sector and global economy. We interact with it every day, often without even realizing it. Two years after ChatGPT’s first release, it’s clear that this technology is here to stay.

In this post, we’ve gathered 154 of the most eye-opening global AI market statistics from reliable sources. We looked at proprietary surveys, research papers written by universities, statistical trend reports, and first-hand accounts from experts in various fields. 

Get ready to discover interesting perspectives regarding AI growth, market size, and how companies use it for marketing, product development, or employee engagement. Arguably, the most interesting statistics we'll explore reflect how employees and consumers feel about AI capabilities and adoption.

Let’s dive in.

Most eye-opening AI statistics (Editor’s choice)

Of all the artificial intelligence statistics we’ve reviewed, we picked the ones that best reflect AI’s potential and sheer magnitude. Read on to understand the exponential growth of the global AI market size. We've sprinkled in online search stats, the mind-boggling energy consumption of AI training modules, and how AI roles are split between genders.

  • AI companies worldwide nearly doubled since 2017 showing the explosive growth of the AI market size.
  • 25% of the current 67,200 AI companies are in the US.
  • The top 10K AI startups on Crunchbase raised $30 billion in funding last year.
  • Google search shows 15.16 billion results for “AI” (that’s a lot considering “Tiktok” only has 5.7 billion).
  • Google Scholar shows 6.65 million results with “artificial intelligence” in the title.
  • Gen AI tool videos got 1.7+ billion views on YouTube in 2023.
  • NVIDIA might deliver 1.5 million AI server units/year by 2027.
  • NVIDIA’s AI servers require at least 85.4 terawatt-hours of electricity/year (~ what the Netherlands uses).
  • One AI training module can require more electricity than 100 U.S. homes in a year.
  • 63% of marketers say most content in 2024 will come from gen AI
  • More than half of marketers (56%) claim gen AI content outperforms human content.
  • 66% of the 135K people in the US who use “AI” in their social bios are male.
  • Women’s first-time AI publications surged by 93% in the last decade.
  • Only 23% of the 133,082 people at the forefront of AI innovation are women.
  • 22% of the global female AI talent is in the USA, followed by the UK and Germany.
  • Taiwan (36%) and Australia (26%) have the highest percentages of women in AI in their ecosystems.

Sources: Google, Google Scholar, YouTube Blog, Crunchbase, ExplodingTopics, Everest Group, Bloomberg, Hubspot, SparkToro, WeForum, Zeki Research

The current market size of the AI industry and growth predictors

The AI market is experiencing rapid growth in 2024. Valued at almost $200 billion already, the AI technologies industry is expected to jump over 55% in value by the end of the year. Businesses across industries use deep learning, a core artificial intelligence technology, and forecasts indicate a symbiosis of AI, cloud computing, and emerging tech like Web3 and the Metaverse.

The global AI market value estimations are:

  • $196.63 billion for early 2024.
  • $305.9 billion for the end of 2024.
  • $738.80 billion by 2030.
  • From 2022 to 2030, the AI market size should reach an annual growth rate of 32.9%.
  • As of 2023, the North American AI market is estimated at $30.9 billion.
  • Thanks to AI technologies, Web3, and the Metaverse, the global cloud computing market will reach $2297.37 billion by 2032 (17% compound annual growth rate).

The employees most open to using AI technology are in:

  • Latin America (48%)
  • Asia-Pacific and Japan (46%)
  • Europe, The Middle East, and Africa (38%) 
  • North America (36%)

The potential impact of Gen AI market is estimated as:

  • High in e-learning, electronics, high-tech, e-commerce, and software (>50% of the workforce potentially exposed).
  • Medium in BFSI, retail, distribution, CPG, healthcare, and life sciences (20-30% of the workforce potentially exposed).
  • Low in manufacturing, energy, utilities, and legal services (<20% of the workforce potentially exposed).

Sources: NextMSC, Statista, ExplodingTopics, Qualtrics, Everest Group

How AI is improving employee training

Businesses predict that 44% of workers' core skills will be disrupted by 2027. Luckily, the many tools provided by the AI market help companies keep up with the upskilling and reskilling demands, generating engaging training materials quickly.

The L&D professionals we surveyed say video makers can save you an entire workweek, but time is a bonus for your business operations. You’ll save even more money by creating scalable and personalized training with fewer resources.

An AI video maker like Synthesia swiftly turns text into videos for training (building skills), sales enablement (teaching employees to promote company offerings), and internal communications using just a web browser.

Read the following statistics on generative AI technologies. You'll see how L&D managers feel about using AI systems and tools for training and AI’s perceived impact on productivity. 

  • AI tools save 62% time or 8 days when producing training videos.

The biggest benefit AI video course creators see is:

  • Reduced production time (78.8%)
  • Reduced production cost (44.1%)
  • Employees save 34% of their time or 45 hours/mo with AI video production tools.
  • 42% of L&D managers replaced traditional video production with AI.

L&D managers who create or implement AI training videos noticed:

  • Higher course completion rates (57%)
  • Shorter average time to completion (60%)
  • Higher learning satisfaction scores (68%)

  • ChatGPT can improve individual productivity by up to 40%, mainly by saving time.
  • General employee productivity can increase by 30% when AI systems are used.
  • Automation in IT departments saves 1.9 hours/week per employee, on average.

Sources: Synthesia, MIT, Salesforce

AI adoption in companies 

In 2024, 71% of employees are concerned about adopting AI. In fact, 48% of respondents are more concerned now than they were in 2023.

This growing concern occurs as businesses enter the AI market, and employees have to learn how to use new tools and software. AI adoption and sentiment look different between generations, work roles, and even based on people’s expectations. Check the following artificial intelligence stats to see what we mean.

  • Over 90% of leading service providers used AI along the talent value chain.
  • On average, one-third of employees already work with AI solutions. 
  • AI adoption across generations is 31% Gen Z, 37% Millennials, 28% Gen X, and 20% Boomers.
  • AI adoption across organizational stakeholders is 52% engineers, 49% top management, 40% professionals, and 38% middle management.
  • 25% of competitive intelligence leaders use AI to assist them at work, and 56% plan to start doing it.
  • AI adoption comfort is high for 65% of C-suite, 53% of engaged employees, 46% of managers, and 30% of disengaged employees.

Employees want AI and digital personal assistants to help them with:

  • Writing (61%)
  • Personal assistance (51%)
  • Internal workplace queries (46%)
  • Performance appraisal (37%)
  • Job interviews (29%).

  • 24% of marketers say customer service AI is most helpful for their business.
  • 62% of professionals find AI important to their marketing.
  • 6 in 10 AI and automation users leverage deep learning for enhanced data analysis.
  • 38% of those who haven’t used AI plan to in 2024.
  • Most successful AI use cases are research (33%), content creation (31%), and data analysis and reporting (30%).
  • Over 4 billion mobile users use AI-powered voice search.
  • By 2027, at least one global company will face an AI deployment ban due to data protection or AI management non-compliance.

Sources: Qualtrics, Everest Group, Hubspot, People element, Crayon

The widespread use of AI in marketing, content creation & SEO

By now, 40% of companies have brought in AI experts to help their marketing teams make the most of the new technology. The results are amazing, with 95% of those who adopted AI being highly likely to achieve effective marketing strategies.

Considering that AI algorithms increase leads by as much as 50%, AI is only going to spread even more in marketing, content creation, and SEO. But read on to get a better sense of its impact from these top AI statistics:

In 2024, businesses are most eager to use AI for:

  • Content creation (55%)
  • SEO data (54%)
  • Image generation (53%)
  • Video generation (52%)
  • Audio generation (22%)

  • More than half of marketers (58%) want to invest more in AI and automation like chatbots in 2024.
  • 72% of marketers who use AI and automation personalize customer experiences
  • 7 in 10 marketers who use AI improve the overall customer experience.
  • 60% of marketers see AI as an assistant for their job duties.
  • 16% of marketers see AI as capable of taking over most of their job duties.

Marketers use AI

  • For ideas and inspiration (45%)
  • To create outlines (31%)
  • To draft content (18%)
  • To write content (6%)

  • Marketers save 3h/piece of content and 2.5h/day overall with AI tools. 
  • 85% of marketers believe generative AI will transform content creation in 2024.
  • 60% of marketers who use generative AI content are concerned it could harm brand reputation due to bias, plagiarism, values misalignment.
  • 1 in 3 businesses plan to use ChatGPT to create website content.
  • 46% of business owners use AI for their internal communications.
  • 68% of companies noticed a content marketing ROI growth since using AI. 
  • 65% of companies had better SEO results when using AI. 
  • 76% of businesses have had AI-generated content rank at least once.

Sources: HubSpot, Semrush, HBR, Forbes

Small businesses & AI marketing tools

Small businesses are torn between using and not using AI marketing tools. Although 67% enthusiastically adopted AI, many remain on the sidelines, concerned about AI content’s originality, quality, and legal implications.

Still, 42% of those who adopted at least one AI tool report significant growth, and nearly 80% say their content quality improved. Here’s what else you should know:

  • Businesses use AI tools for blog posts (58%), social posts (55%), short articles (49%), video clips (31%), and e-mails (29%).
  • 67% of small businesses using AI say the landing pages they create with it attract more customers.
  • 68% of small businesses are planning on investing in AI for content marketing and SEO.
  • More than 60% of businesses that don’t use AI would like to start.

The most common reasons for not using AI tools are:

  • They don’t understand how to use them (37%)
  • Are concerned about the originality of AI content (31%)
  • Are not sure about the quality of AI content (30%)
  • Are worried about the legal implications of using AI content (25%)
  • Don’t have the budget for AI tools (24%)

  • 58% of small businesses that use AI have monthly content production budgets <$1,000.
  • 51% of the businesses that use AI pay $0 to produce a single long-form content piece.
  • 79% of businesses notice increased content quality when using AI. 

Small businesses who use AI content say their SEO performance has:

  • Moderately improved (43%)
  • Not changed (24%)
  • Significantly improved (22%)
  • Not sure if it changed (8%)
  • Moderately reduced (3%)
  • Significantly reduced (1%)

Sources: Semrush, Unbounce

Consumer sentiment on AI usage

As artificial intelligence becomes increasingly integrated into everyday life, consumer sentiment shows a mix of optimism and caution around the AI market. Apparently, consumers have the most trust in generative AI for education and personalized recommendations and are least likely to trust it for investment advice and self-driving cars.

Read on to find out what consumers believe about gen AI regulations and productivity impact or how they plan on doing online searches from now on.

  • 65% of consumers trust businesses that use the current AI technology.
  • 7 in 10 consumers think gen AI’s benefits outweigh its risks.
  • Nearly half of consumers (48%) believe gen AI market is currently not regulated enough.
  • 31% of consumers think AI market regulations are “about right.” 

Nearly one-third of consumers say AI tools improved their workplace productivity, but the numbers vary greatly between regions:

  • India 67%
  • Indonesia 65%
  • UAE 62%
  • Hong Kong 54%
  • Singapore 53%
  • Mexico 46%
  • Australia 34%
  • Spain 28%
  • Italy 25%
  • Canada 24%
  • France 20%
  • Germany 19%
  • Denmark 18%
  • Poland 18%
  • UK 18%
  • US 17%
  • Sweden 14%

  • 60%+ consumers fear AI risks related to fake news and content, scams, and cybersecurity attacks. 
  • 40%+ of consumers are concerned that AI could cause an over-dependence on technology.
  • 77% of consumers worry that AI market advancements could cause human job losses.
  • 24% of business owners worry AI might make their business less visible on search engines.
  • 64% of business owners believe AI will improve customer relationships.
  • 65% of consumers plan to replace search engines with ChatGPT.

Sources: KPMG, Statista, Forbes

The impact of AI on recruitment 

People are anxious about robots taking over their jobs. People Element’s 2024 report on employee engagement shows that 75% of workers worry AI will make some jobs obsolete, and 65% particularly worry about AI replacing their jobs. Forrester predicts AI and machine learning could replace 16% of all US jobs across all industries in the next half-decade.

But other current and predictive AI statistics show a brighter future where the AI space opens up new jobs and is projected to require almost 100 million new hires in the next two years.

Much like the advancements made during the Industrial Revolution, AI is reshaping the job market, creating opportunities for upskilling and reskilling. Some jobs will disappear, while many others will pop up. Here’s what the statistics about AI and employment say:

  • By 2025, the work demands in the AI space will require hiring 97 million people.
  • 4 in 5 executives say generative AI will change employee skills and roles.
  • Adopting AI in the next 3 years will require upskilling 1.4 billion people globally.
  • Generative AI could impact 300 million jobs (18% of global work).
  • Two-thirds of U.S. and European jobs are exposed to some AI automation. 
  • A quarter of all jobs could be fully automated.
  • White-collar workers earning up to $80,000 annually are the most vulnerable to automation. 
  • 90%+ of top service providers use AI for talent management and software tasks.

Employees’ common AI concerns relate to:

  • Having their salary reduced (72%)
  • Not getting promoted if they don’t have AI skills (67%) 
  • Falling behind at work if they don’t use an AI platform (66%)

Sources: We Forum, Forrester, People element, Goldman Sachs, Everest Group, IBM, OpenAI, OpenResearch, University of Pennsylvania

AI uses and impact in businesses across industries

72% of executives say AI will soon become the most significant business advantage. So, it makes sense to see this technology spreading and being adopted across almost any industry and vertical. Anywhere you look, not just in tech companies, you’ll find some use for AI. To sketch the bigger picture, here are some AI stats from different, diverse industries:

  • 80% of retail executives expect their businesses to adopt AI automation by 2025.
  • By 2025, the annual revenue worldwide for the wearable AI market is projected to reach $180 billion.
  • 19 in every 20 customer interactions will be AI-assisted by 2025.
  • By 2025, AI service revenue from software alone will reach nearly $100 billion globally.
  • By 2035, 75% of vehicles will be equipped with AI technology.
  • 10% of vehicles will be driverless by 2030
  • The global market for self-driving cars will reach $62.4 million by 2030 (from $20.3 million in 2021).
  • Global AI chip revenue is set to reach $83.25 billion by 2027.
  • Netflix's recommendations technology is worth $1 billion in revenue annually.
  • 52% of telecommunications organizations use conversational AI and chatbots to increase overall productivity.
  • The manufacturing industry stands to gain $3.78 trillion from AI by 2035.
  • AI tech could increase banking industry revenue by $1 billion in the next three years.
  • Around 1 in 3 medical professionals now use computer systems to aid diagnosis.

Sources: Omdia, Forbes, PWC, Analytics Insight, Business Insider, Gartner, Accenture, AI Business

The use of AI in speech technology

The integration of AI into speech technology is changing how we use our devices. AI-powered voice recognition and generation are used in global organizations and industries from communications and healthcare to entertainment. In short, AI transforms the nature of human-machine interaction, and the following generative AI statistics prove it: 

Values of different markets will more than double in the coming years:

  • AI-powered voice assistants & apps -> $13.66 billion by 2027 (from $5.72 billion in 2024).
  • Voice recognition tech -> $50 billion by 2029 (from $12 billion in 2022).
  • Smart speakers volume -> 270+ million by 2028 (from 161 million in 2020).
  • Natural Language Processing NLP -> $112.3 billion by 2030 (from $24.1 billion in 2023). 
  • AI voice generators -> $4.9 billion by 2032 (CAGR rate of 15.4%).
  • AI dubbing -> grow 7.8% by 2028, especially in the entertainment and e-learning sectors.

  • By the end of 2024, 8.4 billion digital voice assistants will be used worldwide, more than the global population.
  • 50%+ of Americans gather information using voice assistants.
  • Consumers use voice search tasks to check the weather (42%), set alarms (36%), and play music (34%).
  • Google Assistant, with a 98% accuracy, is rated as the “smartest” voice search assistant.
  • 60% of mobile users prefer searching with voice rather than typing.
  • 44% of healthcare organizations are already using voice technology.
  • 39% of healthcare organizations plan to adopt it within the next 2 years.
  • 65% of physicians expect voice AI to improve their workflow efficiency.
  • 72% of patients use voice assistants for scheduling appointments or refilling prescriptions.

Sources: Statista, The Business Research Company, Speech Tech Mag, Augnito

Applications of AI in tech, IT, and programming

A 2021 Korn Ferry report predicted that by 2030, we’ll be struggling to fill 85 million tech roles, costing us $8.5 trillion in unrealized revenue. But the integration of AI in tech, IT, and programming is giving us hope for keeping up with the demand. 

AI helps developers generate a lot more code faster than ever. Of course, with more code also comes more churn, as a couple of interesting top AI statistics show below:

  • 50% of companies agree AI will accelerate the growth of the IT sector. 
  • 86% of IT leaders believe gen AI will soon play a big role in their companies.
  • Code churn (lines thrown out less than two weeks after being written) is expected to double in 2024.
  • The percentage of “copy/pasted code” is increasing faster than “updated,” “deleted,” or “moved” code.
  • 92% of U.S.-based developers in large companies use an AI coding tool. 
  • 70% of developers see significant benefits of using AI. 
  • GitHub claims developers write code "55% faster" using the AI tool Copilot.
  • 4 out of 5 developers say AI coding tools will make their team more collaborative.
  • 70% of developers say AI coding tools will give them an advantage at work.
  • Generative Pre-trained Transformers (GPT) and gen AI registered a surge in interest of 3,600%.
  • Transformers (GPTs) alone registered a 325% increase in interest.

Sources: Korn Ferry, Salesforce, Gitclear, Github, O’Reilly

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Frequently asked questions

When was AI invented?

AI was founded as a formal field in 1956 during a workshop at Dartmouth College. American computer scientist and cognitive scientist John McCarthy organized the workshop to explore the potential and future of machines that could simulate human intelligence. He coined the term “artificial intelligence” and is one of the founding figures of AI.

When was AI used and popularized to the public?

AI gained significant public attention in the 1990s and early 2000s thanks to advances in machine learning and the Internet. However, the technology became more mainstream in 2011 with the introduction of applications like Apple's Siri, and took off by 2016-2017 when Google Assistant also launched.

How many people use AI?

While it's difficult to estimate an exact number, we can assume billions of people interact with global AI technologies and natural language processing algorithms daily. Many smartphones, social media platforms, and online services that people use worldwide heavily rely on AI algorithms.

Which industries can benefit from AI?

AI can benefit numerous industries, including healthcare (for diagnosis and personalized medicine), finance (for fraud detection and robo-advisors), automotive (through autonomous driving), retail industry (via personalized shopping experiences), and manufacturing (with predictive maintenance). Read our in-depth guide to discover 8 of the best applications of AI in different industries.

What is the future of AI?

The future of AI will involve more personalized interactions, increased automation of complex tasks, and significant progress in solving global challenges like climate change and healthcare. Those looking to integrate AI into their business strategy will also consider responsible AI — ethics, governance, and the societal impacts of AI technology.