From jaw-dropping market growth to surprising fun facts about AI, artificial intelligence statistics are revealing the future like never before.
Ever wondered how AI is transforming everything from our daily lives to billion-dollar industries? This year’s data shows an unstoppable rise in AI power, adoption, and innovation worldwide.
With things moving so fast and so many sources of information available, we’ve gathered these up-to-date AI statistics to give you a snapshot of AI in 2024.
Keep reading for fascinating insights on who is using AI, how they are using it, and how it’s impacting the workplace.
Artificial Intelligence Statistics Highlights
- The AI market is expected to grow by 36.6% each year from 2024 to 2030, showing strong future growth.
- Global AI adoption reached 42% in 2023, which is 7 percentage points higher than the previous year.
- In 2024, 34% of companies used AI in marketing and sales, 23% in product development, and 17% in IT.
- In 2024, top companies using AI saved an average of 22% on process costs over the past year.
- By the end of 2024, big tech companies like Microsoft, Meta, Amazon, and Alphabet are expected to spend over $200 billion on AI, with even more investment likely in 2025.
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AI Growth Statistics
The field of artificial intelligence has witnessed remarkable growth in recent years, and this growth in AI stats underlines its unprecedented expansion.
From chatbots to generative AI and image generators, the proliferation of AI technologies has propelled transformative advancements across various industries.
The AI market was already worth an estimated $196.63 billion in 2023, according to Grand View Research. Their report predicts a CAGR of 36.6% from 2024 to 2030, underlining artificial intelligence growth statistics worldwide.
A global AI forecast from MarketsandMarkets predicts a slightly lower CAGR of 35.7% in the same period.
According to this report, the AI market will be worth $1.34 billion by 2030.
Meanwhile, another report from Presedence Research predicts that the market will be worth $3.68 trillion by 2034.
Artificial intelligence growth statistics also underline how the AI wearable market is expected to be worth $180 billion worldwide by 2025, Global Market Insights has found.
AI in the social media market is expected to reach $12 billion by 2031, representing a CAGR of 28.7% from 2022 to 2031, according to Allied Market Research.
AI stats reveal that 90% of leading organizations were investing in AI activities as of 2023.
Nearly the same share (88%) said that their investments in data and analytics were a top organizational priority. This is according to the 2024 Data and AI Leadership Executive AI report by Wavestone.
According to the artificial intelligence statistics from IBM, the global AI adoption rate was 42% in 2023, up 7 percentage points from the previous year.
One of the most intriguing facts about AI is that ChatGPT launched in November 2022, and within five days, over one million users had signed up for the service.
The only service that has beaten this user signup rate is the new social network Threads, which took just 1 hour to reach 1 million users, Statista reports.
97% of business owners believe that ChatGPT will positively affect their business operations, a Forbes study revealed.
In 2022, OpenAI, the creators of AI image generator DALL-E and ChatGPT, stated that it has over 3 million activ,e users generating more than 4 million images per day.
PwC’s global artificial intelligence growth statistics study predicts that AI technology could contribute an additional $15.7 trillion to the global economy by 2030.
This equates to an increase in GDP of as much as 26% in China and 14.5% in North America. Together, these two regions account for almost 70% of the total expected gains globally.
Significant gains are expected to come from productivity improvements and product enhancements that stimulate customer demand.
Artificial Intelligence & Workforce Data
Next, we examine who is using AI, what they are using it for, and the growth of artificial intelligence jobs.
How Is AI Being Used at Work?
A 2024 McKinsey survey gave some interesting insight into how AI is being used by companies at present:
A further breakdown can be seen in the chart below:
Statistics from Forbes gathered from 600 business owners reveal the following ways that companies are using or plan to use AI to improve the customer experience:
- Chatbots for instant messaging: 73%
- Composing emails: 61%
- Product recommendations and other personalized services: 55%
- Composing text messages: 49%
- Personalized advertising: 46%
- Long-form written content for websites, etc.: 42%
- Phone calls: 36%
56% of these business owners say they already use or plan to use AI for customer service.
Other top uses are cybersecurity and fraud management, digital personal assistants, and customer relationship management, coming in at 51%, 47%, and 46%, respectively.
We are also seeing surprising use cases of AI development outside of the technology and marketing spaces:
- The rise of AI development in healthcare has led to AI that predicts cancer survival with 80% accuracy by reading doctor’s notes, developed by the University of British Columbia and BC Cancer researchers.
- At Oxford University, AI development in robotics has led to breakthroughs like Ai-Da, a robot artist. One of the most surprising fun facts about AI is that Ai-Da painted an abstract piece called “AI God” that’s expected to sell for between $120,000 and $180,000 at Sotheby’s.
- Meta has collaborated with the U.S. government to integrate its open-source AI model, Llama, into national security applications. This partnership aims to enhance logistics, planning, and cyber defense capabilities.
- AI is being utilized to enhance disaster detection and response systems in urban areas. The UN’s Global Initiative on Resilience to Natural Hazards through AI Solutions focuses on artificial intelligence development guidelines and pilot projects to predict wildfires and improve flood warnings.
- Statistics on Artificial Intelligence Jobs & Workers
According to Deloitte’s State of AI in the Enterprise survey 2024, 42% of respondents said that the most important benefits achieved to date were improved efficiency and productivity, as well as cost reduction.
The latest AI report by MarketsandMarkets predicts that by 2030, AI will have reached human-level sophistication and could, therefore, threaten many more jobs than at present.
However, Americans seem quite attuned to this risk already. In 2024, a study by YouGov showed that 67% of respondents said that AI would result in fewer jobs.
Younger people are more optimistic about artificial intelligence job growth, though.
Another study published by YouGov in 2024 stated whether Americans of different age groups believe that AI will increase or decrease the number of jobs available in the industry they were currently employed in:
- Ages 19-29: 14% said increase, 36% said decrease
- Ages 45-64: 7% said increase, 52% said decrease
A study published by Goldman Sachs in April 2023 predicted that AI systems will lead to artificial intelligence job growth, with the potential to replace 300 million full-time roles.
The study also noted that two-thirds of US occupations are vulnerable to AI to some degree, highlighting the relevance of statistics on artificial intelligence.
According to that same study, the professions most at risk of automation in the US, according to the proportion of tasks that could be automated, are:
- Office and administrative support: 46%
- Legal work: 44%
- Architecture and engineering: 37%
- Life, physical, and social sciences: 36%
- Business and financial operations: 35%
The study also stated that 60% of the current workforce is employed in jobs that didn’t exist 80 years ago.
This equates to 85% of employment growth coming from positions created around new technology.
The AI Index 2024 Annual Report by Stanford University found that in 2023, 1.6% of US job postings required some kind of artificial intelligence development skill.
Spain was in second place with 1.4% of jobs requiring AI skills, and Sweden came in third with 1.3%.
Although most countries saw a decrease from 2022 to 2023 in the share of job postings requiring AI skills, in many, the number of AI-related job postings over the past five years has increased.
In 2023, the US was not the market with the highest AI skill penetration rate.
That crown went to India, with a rate of 2.75, followed by the US at 2.22 and Germany at 1.90.
What Jobs Require AI Skills?
The Federal Reserve Bank of Atlanta sheds some light on this.
AI stats show that computer and information research scientists came out on top, making up 56.2% of AI online job postings in 2024. They were followed by proofreaders & copy markers (48.6%) and data scientists (29.5%).
What’s striking is that the demand for AI skills is increasing not only for tech jobs (which is to be expected) but also for many other jobs.
When it comes to specific AI skills, Python – a widely used programming language – was mentioned in 37% of AI job postings in the US, of which there were almost 800,000 in 2022, Visual Capitalist reports.
Two other languages make the top 10: SQL is mentioned in 23% of job posts, and Java – in 17%.
Computer science, data analysis, and data science also feature prominently, being cited in 33%, 20%, and 20% of jobs, respectively.
It’s no surprise that California—home to Silicon Valley—is the state responsible for the most AI jobs, taking 17.9% of the share across the US.
This is more than double second-place Texas, with 8.4%. However, with some companies relocating to Texas to take advantage of lower taxes and operating costs, this gap is showing signs of closing.
Artificial Intelligence & Business Stats
How much all this AI will cost to implement? And, just as importantly, how much are companies going to save by using it?
According to Bain & Company’s 2024 Automation Scorecard, companies that are ahead in using automation lowered their process costs by an average of 22% in 2023.
The top 25% of these companies saw even bigger savings, with a 37% cost reduction.
AI stats also showed that cost savings and efficiencies are still the top benefits for companies using AI.
IBM’s 2024 Global AI Adoption Index shows that 59% of companies actively using AI have increased their investments over the last two years to get even more value.
Top improvements include automating IT tasks, boosting digital labor, and improving customer service—areas where AI is proving especially useful.
Netflix famously reported that their AI-powered personalized recommendation system was saving them $1 billion a year.
This is largely due to the fact that viewers engage more with personal recommendations compared to generic ‘popular’ ones. This increased engagement helps them retain satisfied customers, decrease cancelations, and plan future in-house productions. That was back in 2015, so the use and impact of AI can only have increased and improved.
As of December 2023, statistics on artificial intelligence highlight that 49% of IT professionals in the financial services industry reported that their enterprise had actively deployed AI.
Facts about AI use in various industries revealed the following active AI deployment sectors:
- Global enterprise: 42%
- Industrial: 42%
- Telecommunications: 37%
- Automotive: 37%
- Retail: 31%
- Travel & Transport: 31%
- Healthcare: 25%
- Energy, Environment & Utilities: 23%
- Government: 18%
Despite all these positive findings, a significant number of companies still have not adopted AI due to barriers.
In November 2023, IBM’s AI Adoption Index reported that 33% of IT professionals at companies currently exploring or deploying AI said that their biggest barrier was limited AI skills, expertise, or knowledge. Other reasons included pricing (26%) and AI projects being too complex or difficult to integrate or scale (25%).
A cost model built by Dylan Patel and Afzal Ahmad for Semianalysis estimated that ChatGPT costs around $700,000 per day to run.
That’s equivalent to about $0.36 per query, based on figures from February 2023, when the research was published. Since then, ChatGPT has upgraded from OpenAI’s GPT-3 to GPT-4, which requires considerably more computational power. The actual cost today may, therefore, be much higher.
To help manage these costs, OpenAI introduced a more efficient model, GPT-4o mini, in September 2024, which has reportedly cut operating costs by 60% (according to an interview conducted by Tech Crunch).
There is also the environmental cost to consider.
A 2024 study by researchers at AI company Hugging Face and Carnegie Mellon University found that generating 1,000 images with Stable Diffusion XL produces as much CO2 as driving a gasoline car for 4.1 miles while creating text with the least energy-intensive model is equal to driving 0.0006 miles.
Statistics about the Risks of Using AI in the Workplace
The Stanford University report underlines the racial bias risks in large language models (LLMs).
They tested four popular LLMs—Bard (Gemini), GPT-3.5, Claude, and GPT-4—with questions that often reveal race-based misconceptions in medicine. The models frequently gave answers that supported incorrect ideas about race, like suggesting skin thickness or pain threshold differences between black and white individuals.
Bias in artificial intelligence development—particularly in image creation models—is also a big concern.
BiasPainter, a new tool, was designed to detect social biases in models like DALL-E and Midjourney. The tool found that these models often reinforce stereotypes, especially around age and race.
BiasPainter uses test images to spot changes in traits like gender, race, and age. Tests on popular models, including Stable Diffusion and InstructPix2Pix, showed that age and race biases were common, with gender bias also present.
BiasPainter was accurate in 90.8% of cases, making it a helpful tool for identifying unfair representations in AI-created images.
Businesses are also becoming more aware of the risks that AI can bring.
In 2024, the AI report published by Stanford featured a global survey by Stanford researchers and Accenture, gathering responses from over 1,000 companies across 20 countries and 19 industries. Each of these companies earned at least $500 million per year.
The survey looked at how companies view AI risks, especially as they develop, use, or deploy both generative and non-generative AI.
The main risks identified in the survey included:
- Privacy and data governance: This was the top concern, covering issues like using data without consent and data leaks. Privacy concerns were especially high in Asia and Europe, more so than in North America.
- Fairness: Fairness in AI was a concern for 31% of companies in Asia and 34% in Europe, but only 20% of North American companies reported it as a top risk. This shows regional differences in priorities.
Further to this, in December 2023, IBM reported that only 27% of IT professionals at companies currently exploring or deploying AI are reducing unintended bias.
56% have not yet developed policies about the ethical use of AI in their workplace.
A Forbes Advisor survey from 2023 shows that both business owners and consumers have concerns about the impact of AI:
- Misinformation: 76% of consumers worry that AI could spread false information on business websites. Of these, 43% are very concerned, while 33% are somewhat concerned. Ensuring AI provides reliable information is important to keep customer trust.
- Job Loss: Many people are worried that AI might lead to job losses, with 77% of respondents concerned about this happening in the next year.
Artificial Intelligence Use Cases in Everyday Life
Let’s look at some artificial intelligence statistics surrounding its use in our homes and everyday lives.
In the Forbes survey, the top uses for AI were cited as follows:
- Responding to people via text or email: 45%
- Answering financial questions: 43%
- Planning a travel itinerary: 38%
- Crafting an email: 31%
- Preparing for a job interview: 30%
- Writing a social media post: 25%
- Summarizing complex or lengthy copy: 19%
Driverless cars, or autonomous vehicles, are growing rapidly.
According to Fortune Business Insights, the global market for these cars was valued at around $1.88 billion in 2023 and is expected to reach $38.78 billion by 2032, with an annual growth rate of 42.3%.
However, people are still cautious about adopting this technology.
In March 2023, a study by the American Automobile Association (AAA) found that 68% of drivers are afraid of self-driving cars, an increase from 55% in 2022.
AI tech has been all over the news since the start of the decade.
Here are some key AI statistics and updates from this year:
- As of August 2024, ChatGPT has over 200 million active users every week, doubling its users since the same time in 2023.
- In August 2024, OpenAI also reported that 92% of Fortune 500 companies now use its products, with API usage increasing after the release of the GPT-4o Mini model.
- As of November 2024, big tech companies like Microsoft, Meta, Amazon, and Alphabet are set to spend over $200 billion on AI investments in 2024, with spending likely to grow even more in 2025.
- In November 2024, AI investments saw the AI startup Perplexity secure $500 million in funding, tripling its valuation to $9 billion.
The Bottom Line
Artificial intelligence statistics show how AI is changing many areas, from business to daily life. The rise of AI has led to big investments and more AI use in different industries, with experts believing that the AI market could be worth trillions in the next few years.
As companies use AI to improve work and drive new ideas, the rise of AI will continue to change industries around the world, bringing both new opportunities and challenges. This rapid growth shows why it’s important to understand AI’s impact on our lives.