Artificial intelligence (AI) is a big deal in the tech world right now. You likely see articles and posts about it on a daily basis, and that isn’t going to change anytime soon. It’s the leading area of software development, and it’s a major player in hardware development as well.
In fact, AI is expected to grow by at least 30% each year, as an industry, for the next decade. Virtually every major company in the world is investing in AI right now, and experts project that AI will create and destroy tens of millions of jobs over the next 5 years.
In all, it’s a massive topic with a lot of data and information running through it, and if you want to understand and anticipate AI, then the statistics below will help you get a jump on it.
Top 14 AI Statistics (Editor's Picks)
AI is worth $120 billion as a global market.
The AI market is growing by more than 20% each year.
AI will be worth a total of $1.5 trillion by 2030.
AI is expected to destroy more than 85 million jobs by 2025.
AI will create more than 97 million new jobs by 2025.
35% of businesses are already using AI tools in their everyday operations.
97% of people who use a computerized device interact with AI on a daily basis.
ChatGPT is a text-generating AI and reached more than 100 million users in a shorter time than any other software in history (less than 2 months).
GPT 4 uses more than 1 trillion parameters to govern the AI.
Over 50% of people are unable to recognize text written by GPT 4 is not human.
Edge computing devices are anticipated to take over the brunt of AI computation, with almost 5 billion new devices expected in circulation by 2030.
84% of people who use AI are unaware that they are interacting with an AI.
13% of people think that they will eventually lose their jobs to automation.
The global market for AI-specialized hardware will grow 9x to $90 billion by 2030.
Global AI Markets
In 2022, the global AI market was worth a total of about $120 billion. In 2021, it was only worth $87 billion. If growth trends continue, the market is expected to exceed $1.5 trillion by 2030. That represents an expansion of more than 20% each year for the duration.
For a bit of comparison, the North American AI market was $51 billion in 2021. That was 58.6% of the entire global market that year. Projections show that while AI will grow in North America, global growth will be fueled by accelerated adoption in the rest of the world. Asia and the Pacific are regions that are expected to see the most new growth, with analysts anticipating an increase of 42% each year (CAGR) through 2030.
Investments in AI
Major companies are investing heavily in AI projects with 75% of top executives believing that AI will improve their business model. This sentiment is why AI investments have accounted for 10 percent of all venture capital investment over the last decade. In raw dollars, that amounts to roughly $257 billion in AI spending over the last 10 years.
The plurality of these investments have focused on software development, taking up 39% of the total AI market. AI services make up about 25% of the market, and AI hardware development accounts for 36% of investments so far.
AI has a diverse impact on jobs, creating jobs in some spaces and eliminating jobs in others. In fact, 38% of employees expect some or all aspects of their jobs to be automated by the end of 2023. Roughly 13% of people think that they will eventually lose their jobs to automation.
Despite that, AI is expected to create more jobs than it replaces. In fact, there are currently 97 million new AI jobs projected to be created by 2025. While 85 million jobs are expected to be replaced by AI. So AI could potentially produce 12 million more jobs than it will eliminate.
AI jobs tend to pay well too. AI engineers make an average of $100,000 globally. Pay for these positions varies by job title and region with U.S. engineers pulling in the highest average salaries (over $120,000 per year).
AI User Statistics
Business and Corporate Adoption
At the business level, companies are adopting various aspects of AI very rapidly. Already, 35% of businesses around the world are using AI tools in their everyday operations. At the same time, 43% of businesses are investing into AI resources right now. Of those that aren’t, 44% are planning to start investing in AI within the next 5 years.
The range of business applications is vast. Chatbots are already a common use case, allowing AI to interact with customers and answer simple questions. Currently, 25% of customer service businesses already use chatbots. As a result, more than 1 billion people interact with chatbots each year. Some other leading AI applications for businesses include the following:
Email campaigns (both writing and managing outgoing email lists)
Search engine optimization (SEO) to boost website traffic
Accounting (automating repetitive tasks)
Payroll (AI can now run entire payroll operations)
Personal AI adoption rates are quite a bit higher. Including older and prolific AI resources, like Google searches, 97% of people who use a computerized device interact with AIs on a daily basis.
Using stricter constraints, AI adoption is still very high. Roughly 97% of all mobile device users interact with AI-powered voice tools on a regular basis. In fact, mobile companies report that users input more than 4 billion voice requests to their devices every single day.
These numbers are why more than 8 billion different AI-powered voice assistants already exist today. Every smartphone in the world has at least one AI voice assistant (Siri, Google, etc.), and in total, there are already more AI voice assistants than people in the world. And, that’s just one narrow application of AI. Other applications push overall AI adoption rates even higher, closing in on very nearly 100 percent of computer users.
AI is also prolific in gaming, affecting more than 3 billion people who play these games every year.
In all, people around the world are interacting with AI all the time, but they often don’t know it. A survey showed that 84% of consumers interact with AI regularly without realizing it.
The most prolific AI tools today are voice assistants. You might recognize some of them by name, such as Siri, Alexa, and Cortana. Siri and Google Assistant are currently tied as the most-used voice assistants in the world. Each accounts for 36% of the entire voice assistant market. Alexa accounts for 25% of the market, and Cortana sits at 19%.
You might notice that these numbers add up to more than 100 percent. That’s because a large number of users deploy more than one voice assistant, even on a daily basis. For instance, a person might use Siri with their phone and Alexa to run their smart home devices.
While these are the biggest names in the industry, you already saw that there are more than 8 billion different voice assistants in the world right now.
Something often overlooked in AI is facial recognition. This is actually an older application of AI (while new methods and tools are still being developed), and facial recognition helped push AI boundaries long before the modern tech boom.
The first computerized attempt at facial recognition was performed in the 1960s. While those attempts might not meet current definitions of artificial intelligence, this opened up a whole new industry. By 1990, facial recognition was the leading driver of AI research.
Funding from governments, private companies, and even casinos allowed facial recognition to pave the way for much of modern AI. By 2001, facial recognition AI could identify people in live video feeds and in real time.
All of this represented about $3.8 billion in spending on research and development over a period of 60 years. Today, you can unlock a smart device using facial recognition AI, and it stems back to this pioneering period.
While facial recognition was a pioneer for AI development, GPT has taken the world by storm. GPT is an AI system developed for language processing. An application of it known as ChatGPT is available for free, and it was made widely available to the public in November of 2022.
ChatGPT had more than 100 million unique users by January of 2023, making it the fastest growing consumer software in history. By that same time, there were more than 13 million active daily users. Since, it has continued to grow at a high rate.
The launched version of ChatGPT ran on GPT 3. This is a neural network that has more than 174 billion parameters, making it one of the most complex AIs in history at the time of its launch. It has since been updated to GPT 4, which has more than 1 trillion parameters.
Part of the reason for excitement around GPT is its versatility. GPT 4 was able to score in the 90th percentile on the LSAT. It was also able to defeat specialized AIs in chess matches, just to name a few accomplishments. On top of that, more than 50% of people are unable to recognize text written by the AI.
Text to Image
This is an AI that takes text inputs and generates images based on those inputs.There are thousands of applications that can perform this task, but a handful currently dominate the landscape. The biggest names in this aspect of AI are DALL-E, Midjourney, and Stable Diffusion.
DALL-E was the first of these on the scene, and it was developed by the same team that created GPT. The current version of DALL-E uses more than 15 billion parameters. It currently has more than 1.5 million active users who generate more than 2 million images every day.
Midjourney is another major player in this space. Launched in July of 2022, Midjourney currently has around 32 million active daily users. Those users generate millions of images every day (an official average number has not been released). Midjourney has an official Discord account with more than 3 million members and more than 600,000 active users at any given moment.
Stable Diffusion is next on the list. This AI was trained using 2.3 billion images. Using these images, it contextualizes visual representations, allowing it to work in the same space as these other text-to-image AIs. Stable Diffusion has more than 1.5 million active users. The number of generated images has not been announced, but Stable Diffusion has announced that it raised more than $100 million in 2022 for additional development.
AI By Industry
AI is already in widespread use in many industries. Those industries include services, IT, finance, health care, and a whole lot more. An O'Reilly survey asked a few thousand businesses about current AI projects. They totaled those projects and divided them into different industries. Using that breakdown, you can see a projection where AI adoption falls in terms of industry. In the breakdown below, 17 percent of the projects listed in the survey were for businesses in the technology industry:
Health Care: 9%
This shows that AI is spread across a large spectrum. No single industry, including technology, is even close to accounting for a majority of AI usage. In fact, the “other” category consists of industries that are individually contributing to less than three percent of the total AI industry. Despite that, this category is contributing more to AI than any single industry. It shows the true diversity of AI and its applications.
Even though there are so many industries that deploy AI, there are a few leading applications that show up across industries.
The first and most obvious example is chat bots. As previous statistics have shown, chat bots are commonly used by both corporations and individuals. Voice assistants are an even more prolific example.
A few other leading examples include administration, personalized learning, and autonomous robots (which includes self-driving cars). Navigation, spam filters, and statistical analysis are other applications that might sound familiar.
Gaming has long been a leader in AI development. AI resources can control many elements of a game, including the generation of areas players inhabit within the game. While it might be easy to understand how AI can control non-player characters (NPCs) to make a game feel more dynamic, there’s another element to AI in gaming that is overlooked.
AI is currently used to mine data regarding players within game ecosystems. This data is used to inform game development, revenue models, advertising to gamers, and more. In fact, more than 390 million documented gamers interact with these data mining tools.
AI needs powerful, and often revolutionary, hardware in order to perform. As a result, developers have invested heavily into hardware specifically for artificial intelligence. The global market for AI-specialized hardware stood at a little over $10 billion in 2021. That number is expected to grow to $90 billion by 2030.
AI hardware encompasses a wide range of devices too. While large servers and supercomputers are devoted to AI, hardware development includes quantum computing, graphics processors, single-device processors, RAM, and a whole lot more.
One aspect of AI hardware development is edge computing. This is a term that describes a method of putting more computation on devices closer to users as opposed to doing all of the heavy lifting with major server farms. Edge computing is almost the opposite of cloud computing.
Steering into this idea, the edge computing hardware market is expected to grow by more than 20% each year for the next decade. That means that the number of edge devices will quadruple in just seven years — expanding from roughly 1 billion devices today to almost 5 billion by 2030.
The AI portion of this market was valued at $9 billion in 2020, and it's expected to reach $59 billion by 2030, a 6-fold increase.
Other applications where you can expect to see more edge computing include the Internet of Things, smart home devices, 5G connectivity, retail, hospitality, and digital personal assistants.
AI is already a massive part of the greater tech industry, and it is currently growing at extreme rates across the globe. Experts across the board expect AI to expand into countless new applications and ultimately integrate with just about every existing profession.
AI will certainly change the world. In just a few years, tens of millions of jobs will be lost to automation. Despite that, AI is expected to create far more opportunities than it erases, with a net change of +12 million jobs each year.
With so much investment in AI, rapid adoption, and anticipation, it’s clearly already a part of the world, and if nothing else, it will be interesting to see new AIs unfold and how they change everything we think we know.
Sources: Simplilearn, CompTIA, Precedence Research, Tech Jury, ChatBot, Forbes, Levity AI, CompTIA, Simplilearn, Investopedia, Adobe, PWC, Markets and Markets, Demand Sage, Forbes, CompTIA, Prescient and Strategic Intelligence, Precedence Research, Allied Market Research.