Want to learn more about artificial intelligence?
AI skills are working their way into job descriptions across all industries.
If you lack artificial intelligence knowhow, this can limit career opportunities, restrict your earning potential and possibly even lead to job loss.
An Oxford study proved workers with AI skills earn 21% more on average. So improving your proficiency in AI can lead to better remuneration.
With the artificial intelligence statistics we’ll review today, you’ll get a better understanding of employers’ perspectives on AI skills and which business functions and industries are experiencing high demand for this expertise.
This information will enable you to determine a great focus area when upskilling in the technology so you can future proof your career and thrive in the modern workplace.
In this article, we’ll discuss important artificial intelligence statistics & trends that will blow your mind in 2024 and help you increase success in your professional life.
Let’s get started.
I. Artificial intelligence market size statistics
The artificial intelligence market is a fast-growing industry.
With AI proving useful across countless industries, we can only expect to see more investments into the sector, which will catalyze even more innovation for the technology.
To learn more about this, I’ve rounded up the following artificial intelligence statistics:
1) 36.6% is the compound annual growth rate or CAGR of the artificial intelligence market between 2024 and 2030. This trend is fueled by businesses increasingly recognizing the potential of AI to increase revenue. (Source – GVR)
2) 30.9% of the global AI market is taken up by North America. The region seems to possess the biggest interest in artificial intelligence, with this statistic making it the largest AI market in the world. (Source – GVR)
3) In Europe, the UK accounted for 24.8% of the revenue from AI, making it the nation with the most vibrant AI market on this content. The country is experiencing rapid digitalization, with AI spearheading this transformation. (Source – GVR)
4) With a CAGR of 43.5%, China’s AI market is the fastest growing globally. Some of the reasons’ behind this is the country’s huge population and vibrant technology scene that seeks to push the envelope with artificial intelligence. (Source – GVR)
5) 36.9% of the AI market is claimed by the deep learning segment if we analyze the market according to technology. This is a facet of AI where models continually learn from data to become smarter and more accurate. (Source – Precedence Research)
6) The banking, financial services and insurance (BFSI) sector accounts for 17.1% of the artificial intelligence market share. If we classify the market by industry, then it’s the one with the largest market share overall. (Source – Precedence Research)
7) $108.31 billion was the value of the natural language processing or NLP segment of the AI market in 2023. NLP is a subset of AI where models can process and understand natural language like we do. (Source – Precedence Research)
8) $87.57 billion was the market revenue of machine vision in 2024, making it the least valuable if we classify the market by technology type. Machine vision entails AI models being able to process images and videos. (Source – Precedence Research)
9) Software solutions and platforms accounted for 35.8% of the AI market in the US. Hardware and services split the remaining share, with this data telling us that the software solutions category dominates the market. (Source – GVR)
10) 20% of the revenue of the AI market came from advertising and media businesses in 2021. With AI becoming more popular in marketing by the day, you can expect this market share to grow even more. (Source – MRF)
II. Concerns about artificial intelligence statistics
What is your opinion about AI?
Some believe artificial intelligence will be a critical part of modern workflows to help us increase productivity, while others remain fearful that it will worsen unemployment.
In this section, we delve into artificial intelligence statistics about what people are saying regarding AI:
11) 59% of US workers believe that AI will take away jobs across industries. While AI is helping to automate mundane, iterative tasks, higher level creative work will still require a human touch for the foreseeable future. (Source – Public First)
12) 71% of Americians are worried AI-generated content may be used to manipulate an election. This is a legitimate concern, given how often we see AI-powered deep fakes propagate misinformation today. (Source – Public First)
13) 55% of people believe artificial intelligence will match a basic human level of intelligence by 2030. With machine learning models able to adapt and improve the more data sets they process, they’ll certainly get better. (Source – Public First)
14) 51% of people are concerned that AI is developing too fast compared to expectations. Some of the reasons behind this are continual improvements in computing power and breakthroughs in mathematical modeling. (Source – Public First)
15) 9 out of 10 adults are familiar with AI or have heard of it. So most people are familiar with what artificial intelligence is, which is only natural given that this technology has use cases in virtually every industry. (Source – Pew Research Center)
16) 58% of people are more concerned than excited about artificial intelligence and the role it plays in modern society. This is largely because of job loss concerns as well as the fear of misinformation. (Source – Pew Research Center)
17) 85% of businesses are concerned that AI could increase their cybersecurity risks. AI-powered cyber attacks are getting so sophisticated that they can easily get around conventional solutions, therefore driving this fear. (Source – Deep Instinct)
18) 72% of professionals are worried that artificial intelligence will have a negative impact on their remuneration and career growth at large. They believe that AI being able to do certain tasks will decrease their earning potential. (Source – EY)
19) 67% of workers feel that they’ll lose out on promotions due to lack of AI skills. In a world where artificial intelligence is fast becoming part and parcel of our workflows, upskilling in AI can accelerate career progression. (Source – EY)
20) 48% of people are concerned that there isn’t enough regulation around generative AI, in particular. I agree however regulating AI can be very challenging because it isn’t a one-size-fits-all affair but more regulations will come. (Source – KPMG)
III. Statistics about artificial intelligence adoption
Businesses have really taken to AI in 2024.
That’s because it can help you improve efficiency and productivity across all departments right from marketing to human resources and everything in between.
To get a better understanding of artificial intelligence adoption among businesses, I’ve rounded up the following data for you:
21) 72% of organizations incorporated AI into their workflow in 2023. This is up from a 50% adoption rate a few years prior, and it proves that the industry is on a path of remarkable growth. (Source – McKinsey)
22) 27% of businesses are leveraging AI for three or more functions. Some popular areas you may want to consider using AI to augment staff include customer service, IT, marketing and accounting. (Source – McKinsey)
23) 65% of organizations confessed they used generative AI in 2023 compared to only 33% in 2022. Gen AI is a type of artificial intelligence that’s capable of creating video, texts, images and content from scratch. (Source – McKinsey)
24) 23% of professionals regularly use AI for product or service development in their line of work. With artificial intelligence, you improve brainstorming and ideation to catalyze innovation and even reduce your time-to-market. (Source – McKinsey)
25) 16% of businesses use artificial intelligence for marketing and sales, making it the most popular business use case. More specifically, they’re turning to AI to nurture leads and analyze and predict consumer behaviors. (Source – McKinsey)
26) 54% of AI projects make it from pilot to production. In other words, a significant number of such projects are unsuccessful, and this usually boils down to lack of sufficient data or poor adoption strategies. (Source – Gartner)
27) 15% of small businesses in the UK have adopted some type of AI. From the artificial intelligence statistics we’ve examined so far, this is well below the market average and points to hesitation from smaller organizations. (Source – GOV.UK)
28) 34% of medium sized businesses have adopted AI compared to 68% of large enterprises. This further reinforces my previous point that larger companies seem to be more interested in AI than small businesses. (Source – GOV.UK)
29) 29.5% is the adoption rate for businesses in the IT and telecommunications field, with the legal industry averaging 29.2%. As a result, these are the two industries with the highest adoption rates for artificial intelligence. (Source – GOV.UK)
30) 11.9% and 11.5% are the adoption rates of AI in the hospitality and healthcare sectors in the UK respectively. This makes them the industries with the lowest AI adoption rates in this country. (Source – GOV.UK)
IV. Statistics about AI in marketing
How can you use artificial intelligence in marketing?
Generative AI, in particular, is proving a very valuable asset in marketing. You can use it for keyword research, personalization and even to generate entire content pieces from scratch.
In this section, we’ll dive deeper into how AI is affecting marketing, sales and customer service:
31) 75.7% of marketers admitted they rely on AI tools to make their work easier. From the artificial intelligence statistics we’ve covered so far, this is one of the highest adoption rates among professionals in any niche. (Source – AuthorityHacker)
32) 49.5% of marketers confessed to using an assortment of AI software multiple times per week. This includes AI-driven keyword research tools, smart web designers and AI-powered graphic design platforms, among others. (Source – AuthorityHacker)
33) 65.8% of audiences rated AI content highly and believe it’s just as good as human-generated content. Truth be told, I must admit that modern generative AI models have gotten really good at content creation. (Source – AuthorityHacker)
34) 30.1% of marketers are worried that artificial intelligence will negatively impact search traffic by 2028. While search engines have nothing against AI content, you can get penalized if it lacks originality, relevance and quality. (Source – AuthorityHacker)
35) 42% of marketers primarily use artificial intelligence for keyword research. With AI in the picture, you’ll increase efficiency as it can analyze vast amounts of data automatically to reveal key search terms & customer trends. (Source – Foundation Inc)
36) 39% of marketers confessed to using AI for email marketing, with a similar number also relying on it to run social media campaigns. Alongside keyword research, this makes for the top three applications of AI in marketing. (Source – Foundation Inc)
37) 99.65% of marketers said ChatGPT is their artificial intelligence tool of choice, making it one of the most used AI tools among marketers. Other popular solutions also include Grammarly and Canva. (Source – Foundation Inc)
38) 63% of marketers said that, compared to human-written content, AI content is “”much worse” or “a bit worse.” So despite the huge influx of AI content you’ve probably seen online, confidence in AI-generated content remains low. (Source – Foundation Inc)
39) 41% of AI adopters credited this technology for increased lead generation. With AI tools like chatbots, for example, you can keep lead generation running around the clock even after you’ve closed shop for the day. (Source – Kaltura)
40) 47% of marketers are using artificial intelligence for content personalization. This is a strategy where you customize content, be it on email or web pages, to match the behaviors or preferences of certain demographics. (Source – Kaltura)
V. Artificial intelligence skills statistics
AI is fast becoming a part of modern workflows.
This is why we’re seeing businesses continually prioritize upskilling their staff in AI so that they can improve efficiency and future-proof their business while they’re at it.
Here’s a look at some interesting data to help us understand trending AI skills:
41) 36% of businesses said strategic decision making is an area of their workflow that required the most AI skills in 2023. In particular, we’re seeing executives leverage AI-powered predictive analytics to anticipate market trends. (Source – Statista)
42) 38% of organizations believe that AI skills will be most important for managing their Environment Social Governance (ESG) programs. With AI, you can streamline ESG reporting to uncover risks for your businesses more promptly. (Source – Statista)
43) 36% of companies said AI skills will be most useful when it comes to logistics. From route planning to AI-powered warehouse automation, applying AI here can really streamline supply chains to reduce delays & disruptions. (Source – Statista)
44) 38% of businesses view having AI skills as crucial particularly when it comes to research and development. In this area, artificial intelligence can come in handy for analyzing market data to inform product innovation opportunities. (Source – Statista)
45) 74% of workers blamed employers for the AI skills gap in their companies. They say that management hasn’t provided the right quality of training programs to equip them with the AI skills to succeed in their roles. (Source – COAI)
46) 35% of employees lack confidence in the AI skills they possess, although they’re willing to learn if the opportunity presents itself. As a result, many of such staff noted great concerns over their job security. (Source – COAI)
47) 95% of organizations implemented professional development plans to upskill their employees’ AI skills. However, from the artificial intelligence statistics we’ve discussed, these programs seem to be missing the mark. (Source – COAI)
48) 43% of employees who’d like to learn AI skills cite time constraints as a major hindrance with 30% blaming non-user friendly learning formats. I recommend creating microlearning strategies to address these concerns. (Source – COAI)
49) 74% of IT professionals are worried new AI tools will render the artificial intelligence skills they’ve acquired obsolete. It’s a fast-paced field, and it requires constant learning if you’d like to stay relevant and ahead of the curve. (Source – Pluralsight)
50) 46% of organizations greenlighted their staff to use AI tools on their own. This is despite the fact that some of them lack formal AI training programs, leaving staff having to pick up skills from third-party sources. (Source – Pluralsight)
VI. Statistics about artificial intelligence tools
What AI tools are really catching on today?
One that has taken the world by storm is ChatGPT which is a generative AI platform, with others like Character.ai also becoming a big hit in the social platforms category.
To get a feel of trending AI tools, we’ll discuss AI software statistics in this section:
51) 50% of all generative AI usage comes from ChatGPT, a generative AI platform which was unveiled in late November, 2022. Going by these artificial intelligence statistics, it’s the most popular AI tool today. (Source – FlexOS)
52) 56.7% of generative AI platform users are between the ages of 18 and 24 while 22.7% are aged 25 to 34. So it’s clear that the younger generation has warmed up to AI more than the older population. (Source – FlexOS)
53) Brainly accounts for 42% of the market share in the AI-powered education tools category, with CourseHero claiming 36%. These are basically AI-powered tutor platforms that use AI to personalize your learning experience. (Source – FlexOS)
54) Character.ai hogs 89% of the total traffic in the social and chatting category. It’s the top AI tool in this group, and it’s essentially an intelligent chatbot that you can have real, human-like conversations with. (Source – FlexOS)
55) 27% of people reported having a good understanding of AI tools. That said, AI tools typically offer a soft learning curve since they take away the need to write code so this could be an awareness issue. (Source – Oxford University)
56) 70% of developers said AI-powered coding tools can help them write better quality code. Modern code editors have key features like auto-complete and auto-correct, which can help you minimize errors in your work. (Source – GitHub)
57) 4 out of 5 developers expect AI coding tools to improve team collaboration. Some ways AI can help you do this is by enabling intelligent co-editing and by automating important tasks such as version control. (Source – GitHub)
58) $98 billion is the value of the AI software market in 2024, and it’s growing at a CAGR of 30%. One of the biggest drivers of this growth is the surging popularity of generative AI. (Source – ABI Research)
59) North American-based companies contribute 43% of the total investments in the AI software market. They’ve increased funding into such projects because they believe artificial intelligence has reached the right level of maturity. (Source – ABI Research)
60) 45% of software vendors now provide AI lifecycle optimization tools. In simple terms, AI optimization entails continually making changes to algorithms and models to improve efficiency and efficacy as well. (Source – ABI Research)
VII. Statistics about AI in education
Education is another field that’s embracing AI.
Some institutions have in fact already incorporated AI into their workflows to assist with examination monitoring, test grading and even personalize experiences for learners.
We’ll examine these and other popular applications of AI in education in this section:
61) 90% of educators believe that artificial intelligence is pivotal for making education more accessible. It can help achieve this by leveling the playing field for learners with vision, hearing and other types of disabilities. (Source – Imagine Learning)
62) Only 15% of teachers feel “prepared” to use AI in the classroom, with 32% being “completely unprepared.” This shows there’s a lot of work that still needs to be done particularly in terms of upskilling educators. (Source – Imagine Learning)
63) 33% of educators said they have the greenlight of their school’s leadership to incorporate AI into their teaching. In other words, the top hierarchy in school still isn’t quite sold yet on the technology. (Source – Imagine Learning)
64) 44% of teachers who’ve used AI said it made their jobs easier and decreased their work burden. With AI, you can automate iterative admin work like grading and attendance tracking, just to name a few. (Source – Imagine Learning)
65) 36% of tutors said their students have the basic AI skills. This isn’t a bad starting point although we still need to amplify efforts to raise awareness and equip learners with artificial intelligence skills for the future. (Source – Study.com)
66) 58% of teachers noticed learners using AI against school policies. One of the most prevalent cases of misuse of AI is essay plagiarism, where students use AI to rephrase other people’s work and submit as their own. (Source – Study.com)
67) 65% of educators admitted that using artificial intelligence in the classroom increased their passion for teaching. Of course, when this enthusiasm goes up, you can expect better learning outcomes for students. (Source – Study.com)
68) 24% of Americans said they want K12 schools to prevent students from using AI. Some of the concerns that informed this opinion include data security fears and the possible misuse of AI in unethical ways. (Source – YouGov)
69) 52% of parents said they want educators to teach students how to use AI appropriately rather than ban them. I fully support this because AI skills are important in the modern workplace so turning a blind eye is unwise. (Source – YouGov)
70) 77% of Greece educators who admitted to using AI in the classroom did so to capture learners attention. More specifically, they used artificial intelligence to create interactive educational content to improve learner engagement. (Source – Oide)
VIII. Artificial intelligence in healthcare statistics
How is artificial intelligence changing healthcare?
AI is revamping and improving healthcare in many ways, helping to alleviate the burden on medical workflows and to improve access and cost-efficiency in the sector.
For more details, take a look at these artificial intelligence statistics that I’ve rounded up:
71) 53% of consumers view AI as a key driver of better healthcare accessibility. This is because of AI-powered virtual assistants that you can engage with to address healthcare concerns promptly regardless of time or location. (Source – Deloitte)
72) 46% of people believe that generative AI, in particular, can help lower healthcare costs. It can achieve this by streamlining billing processes and taking over administrative tasks to reduce billable time for patients. (Source – Deloitte)
73) 69% of patients said that they trust the medical information they receive from generative AI models. So confidence seems high in the reliability of information that consumers receive from healthcare virtual assistants. (Source – Deloitte)
74) 50% is the amount by which artificial intelligence can lower the cost of treatment. So if you’re managing a chronic condition that’s costing you $15,000 a year, that may translate to significant cost savings of $7,500. (Source – Havard)
75) AI can improve health outcomes by 40% if healthcare institutions implement it correctly. One of the top reasons why that’s the case is the ability of AI to enable precision medication that delivers greater efficacy. (Source – Havard)
76) AI reached the correct diagnosis 87% of the time when reviewing medical imaging compared to 86% for human physicians. From these artificial intelligence statistics, it’s clear that this technology can be an excellent partner for clinicians. (Source – Havard)
77) 48.1% is the compound annual growth rate of the artificial intelligence in healthcare market between 2024 and 2029. This will see the market increase by seven times its current market size. (Source – M&M)
78) AI can reduce the cost of drug discovery by up to 70%. It can do this by reducing the number of experiments during research and development, thereby helping to make medication more affordable. (Source – Carnegie Mellon University)
79) 60% of patients are uncomfortable with their healthcare providers using artificial intelligence. In particular, they’re uncertain about whether they can trust diagnosis and treatments recommended with the aid of AI. (Source – Pew Research)
80) 40% of Americans believe the use of AI will reduce the number of mistakes in healthcare, compared to 27% who said it will increase such errors. So there’s greater optimism than there is negativity about AI in healthcare. (Source – Pew Research)
IX. Small businesses and AI statistics
How do small business owners feel about AI?
Well, from the data we’ve looked at so far, small businesses are still at the early stages of artificial intelligence adoption and generally remain very cautious although they’re optimistic about its potential.
So in this section, we’ll discuss how AI is affecting small businesses in particular:
81) 4 out of 10 small business owners have tried out various AI tools to determine if they’d be a great fit for their workflow. They’re pushed by the belief that such solutions will save them time and money. (Source – US CoC)
82) 65% of SMEs expect artificial intelligence to greatly reshape their workflows. This is to be expected because we’re likely to see artificial intelligence lead to the creation of new roles for small businesses across every industry. (Source – US CoC)
83) 16% of small businesses said they’ve created job postings that require AI skills. So adoption of AI in such workflows still remains low, but I’m sure it’ll pick up the pace once owners get more comfortable with AI. (Source – US CoC)
84) Only 15% of small businesses have established an AI policy. This is a framework that guides how you want employees to use artificial intelligence in the workplace, while creating ethical and safe boundaries to prevent misuse. (Source – US CoC)
85) 83% of owners said that artificial intelligence has been instrumental in helping improve business efficiency. They admitted that artificial intelligence has allowed them to channel more focus and resources toward higher-value work. (Source – BPC)
86) 48% of small businesses are primarily using AI in accounting, with a similar number using it for customer management. Other common applications of AI for them include marketing and workforce and project management. (Source – BPC)
87) 27% of female SME owners are early adopters of new AI technologies compared to 38% for male small business owners. So it seems that male business owners are more likely to invest in artificial intelligence technologies. (Source – BPC)
88) $273.5 billion is the amount that small businesses save annually by leveraging artificial intelligence. As a business, AI can save you money by cutting out process and material wastes and increasing worker productivity. (Source – SBE Council)
89) 80% of small business owners are concerned that AI development is outpacing regulation. When this happens, this creates regulatory ambiguities and confusion that make it challenging for you to incorporate AI into your business. (Source – Xerox)
90) 39% of SMEs are investing in artificial intelligence solutions to improve customer engagement and retention. With AI an important enabler of personalization, it enables you to cater to individual customer needs and increase loyalty. (Source – SBE Council)
X. Statistics about how consumers use AI
Everyday people are deriving great value from AI.
From intelligent email filters to curating travel itineraries, there’s a lot you can do with artificial intelligence outside of the typical business use cases we’ve examined so far.
In this section, we’ll discuss just how ordinary folk are using AI to make their life easier:
91) 60.2% of regular AI users confessed to using the technology for personal reasons. So we’re not just relying on artificial intelligence for work, it’s also proving very useful in our personal lives as well. (Source – Definition)
92) 30.1% of consumers turn to AI instead of search engines when they need information online. So AI is seemingly proving a trustworthy alternative that’s giving modern search engines like Google a run for their money. (Source – Definition)
93) 20.6% of people who use AI for personal reasons do so to uncover new recipe ideas. An appealing trait of AI over other research methods is the ability to curate multiple recipe variants in one place to increase efficiency. (Source – Definition)
94) 29.1% of consumers view AI as a friend. From the artificial intelligence statistics I reviewed, this is a perspective that’s prevalent among younger generations who’ve developed an emotional connection with artificial intelligence. (Source – Definition)
95) 35% of Americans admitted to using AI-powered tools for personal research purposes. This includes looking up relationship advice, career tips and other information around improving various social aspects of their lives. (Source – Barna)
96) 68% of adults are harnessing AI for fitness purposes. More specifically, they’re using AI-powered wearables to monitor their sleeping patterns and analyze their exercising habits to find opportunities for improvement. (Source – Pew Research)
97) 51% of Americans have turned to AI for email service categorization and also for drafting both business and personal email responses. If you use an email filter to block spam, then you fall within this category too. (Source – Pew Research)
98) 62% of consumers are using artificial intelligence to get personalized music playlist recommendations. An AI playlist marker can automatically recommend music you might like based on your profile, tastes and online activities. (Source – Pew Research)
99) 59% of leisure travelers rely on artificial intelligence, particularly generative AI, for trip itinerary planning. In this regard, AI can offer inspiration for interesting places to visit based on weather, preferences and other unique factors. (Source – Statista)
100) 61% of Gen Z consumers turn to artificial intelligence for help with investment and financial management at large. When it comes to budgeting, AI tools can analyze your spending patterns and suggest cost-cutting measures. (Source – BMO)
Conclusion
Thinking about adopting AI for your business?
It’s easy to get carried away with all the hype and rush into adoption with no strategy.
However, taking on AI without a solid plan attracts project failure, which may mean wasting thousands of dollars worth of investments.
A Gartner study revealed that 85% of all AI projects fail. Some of the root causes include inadequate infrastructure, poor data quality and misunderstanding what problems need to be solved.
If you’d like to increase the chances of success for your AI project, the artificial intelligence statistics will help by first laying the right foundation to help improve your understanding of the capabilities of AI.
With this knowledge, I then recommend analyzing problems you’d like to solve with AI and then set realistic goals.
Finally, you can start small with a pilot AI project for a simple business function, and transition to wide-spread adoption once the first phase is successful.
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