55 Fascinating AI Statistics and Trends for 2022
Jan 21,2023 January 21,2023
Artificial intelligence, or AI for short, has always seemed scary. We all remember that famous line uttered by HAL 9000 in 2001: A Space Odyssey – “I’m afraid I can’t let you do that, Dave.” Or, even worse, the machine uprising from the Terminator movies. As much as we hope for a bright future, we’ve always been scared of things going wrong.
But there’s no denying artificial intelligence today plays a big role in our day-to-day activities. After all, most of us are carrying an AI-powered Android device in our pockets, but we’ve still got a way to go until androids start walking the Earth. So, here are the most important AI statistics for 2021 and beyond. The future looks bright.
Statistics on Artificial Intelligence Usage
Automation isn’t a thing of the future anymore. More and more companies are using AI either for automation or to allow their employees to achieve more complex goals.
Taking a quick look at different branches of the industry, it’s apparent that artificial intelligence and machine learning still have a way to go. For some enterprises, this technology is almost a godsend, while others are only just exploring the possibilities of AI in their field. Finally, there is the matter of public perception. The average Joe still isn’t very fond of putting trust in machines, especially if that machine isn’t operated by another human. That said, with AI playing an increasingly important role in our lives, public opinion is shifting ever so slightly towards acceptance.
The global AI market value is expected to reach $267 billion by 2027.
(Fortune Business Insights)
The total contribution of AI to the global economy is expected to hit $15.7 trillion by 2030.
AI will help boost the GDP of local economies, with China expected to record the greatest gains of 26% by 2030.
Startup companies using artificial intelligence received more than $7.4 billion in funding during Q2 2019.
37% of organizations surveyed by Gartner in 2019 now use AI in the workplace.
85 million jobs will be eliminated, and 97 million new ones created thanks to AI by 2025. That’s an overall addition of 12 million jobs.
(World Economic Forum)
Global spending on AI and cognitive systems reached $57.6 billion in 2021.
Nine out of ten leading businesses have investments in AI technologies, but only 14.6% deployed AI capabilities in their work.
The number of enterprises using AI in business grew by 270% between 2015 and 2019.
In the healthcare industry, 38% of providers use computers as diagnosis assistants.
Stats about AI reveal that 52% of telephone companies now employ chatbots.
50% of consumers are now optimistic about AI.
Two-thirds of modern consumers are open to using AI to help boost customer engagement.
26% of consumers say they interact with AI on a daily basis.
Global wearable AI market size is predicted to reach $180 billion by 2025.
(Global Market Insights)
Fewer than half of consumers believe they understand AI.
One-third of consumers are more likely to interact with AI when it involves commerce.
When it comes to customer satisfaction, 43% of consumers believe the use of AI will spark an increase in customer complaints.
According to AI statistics, 52% of consumers don’t believe AI will protect their private information.
Four in 10 consumers believe companies will become more careful with customer data when using AI.
49% of consumers say they don’t think automation in healthcare is safe.
Half of consumers believe people are already losing jobs and are being replaced by computers.
Only 19% of people have faith that AI will improve productivity in their workplace.
For 28% of people, the human touch is still needed to get the job done.
Artificial intelligence facts show that Netflix’s recommendation engine is worth $1 billion a year.
Voice Assistant AI stats
In recent years, a growing number of voice assistants and assistant-enabled devices have found their way onto the market. What started as a simple virtual assistant integrated into our phones to answer short questions has quickly grown into a vast market of smart speakers that can perform thousands of different tasks. These sleek-looking devices can even understand what each member of the household sounds like.
As is the case with any new technology, especially ones that are always connected to the internet, many users are concerned about their data. “Will AI take over?” is also one of the more common questions people ask about these devices, especially now they can replicate human voices. Thankfully, at this stage, the technology is far too buggy for that nightmare scenario to come true any time soon.
The market for these devices is one of the strongest and fastest-growing fields of AI technology. The following AI statistics will show you why.
More than 3 billion voice assistants were in use by the end of 2019.
46% of Americans use voice-controlled virtual assistants.
(Pew Research Center)
For 55% of virtual assistant users, being able to control their device hands-free is one of the main reasons why they use speech recognition apps.
(Pew Research Center)
Google Assistant is considered to be the “smartest” voice assistance, with an accuracy record of up to 98%.
Apple’s Siri is the least accurate virtual assistant in the commerce category, with just 68% of its responses being accurate.
Artificial intelligence statistics show that Amazon Alexa performs better at providing general information (93% accuracy) than it does in any other category.
Amazon Alexa can be found in more than 60,000 devices.
As of 2021, Alexa has nearly 80,000 skills in the US alone and over 100,000 worldwide.
The smart speaker market was worth $11.9 billion in 2019.
There are 53 million Amazon Echo devices in homes across America.
Amazon leads the smart speaker market with 30% of the market share.
Google holds 17% of the global smart speaker market share.
Google shipped more than 95 million of its Google Home speakers in 2019.
Statistics on AI in Self-Driving Vehicles
We might still be several decades away from flying cars, but even today our computer can drive us around. It’s amazing to think that autonomous vehicles, or self-driving cars as they’re more commonly known, actually became a reality about 30 years ago. With recent AI developments and big investments in this technology, features like autopilot in modern trucks are now commonplace.
This sector contributes significantly to AI market revenue and has high prospects of outgrowing many other industries. Comfort is what drivers crave most, so the notion of a self-driving vehicle does sound intriguing. Of course, there are certain reservations, especially whenever the media talks about traffic accidents caused by these vehicles. Artificial intelligence is still developing, as are the devices using it, but you might be surprised by these interesting AI statistics about just how far the technology has progressed.
25 countries are currently working on designs for autonomous vehicles.
With an annual growth rate of 36%, the self-driving car market is nearing $173 billion in global revenue.
67% of Americans believe self-driving cars will be safer than human-driven ones.
However, 35% of Americans say they would never sit in an autonomous car.
According to stats about AI, 87% of Americans would rather see self-driving cars with a human driver who’s ready to take the wheel.
30% of drivers believe cruise control is making life safer on the road.
Volkswagen has invested $2.6 billion in self-driving car software developer Argo AI.
(The Robot Report)
The Future of AI
Artificial intelligence in business is far from a passing trend. A growing number of companies big and small are reorienting their plans to include more AI-driven technology. This development is going in two distinct directions: autonomous machines and machine learning. The former is already an important industrial branch, while the latter will become even more important in the coming years. Our computers and machines already process a lot of data, but they’re still not close to “understanding” it. That is what, in the future, researchers will try to remedy.
New jobs in AI are being created to accommodate the growing market. Once-laborious processes, involving hundreds of hours and a lot of manpower, will become automated. The fact that humans will be replaced by robots and AI for certain jobs will create problems, but with that also comes a much lower risk of injury. Companies now have a serious obligation: to train their employees for the new jobs this technology will create. It seems that to keep steady jobs in the future, businesses and workers ought to learn how to expand their field to incorporate AI in some way.
These are some predictions for the near future based on the artificial intelligence stats we have today.
The AI industry could be worth more than $15 trillion by 2030.
By 2030, China will be the biggest AI market, accounting for 26.1% of the global AI market share.
There will be 8 billion voice assistants in use by 2023.
Analysts predict the AI industry will be generating revenues of $126 billion a year by 2025.
The autonomous vehicle industry, experts predict, could be worth $667.7 billion by 2026.
(The Robot Report)
Analysts predict 8 million autonomous vehicles will be shipped in 2025 alone.
Is AI replacing jobs? Statistics show the applications of AI in commerce will actually drop significantly over the next 10 years, meaning a lot of jobs will be safe.
63% of consumers believe AI will be able to solve complex problems in the future.
72% of companies using AI believe it will make their jobs easier.
59% of executives strongly believe artificial intelligence applications will improve big data in their companies.
Statistical AI is driven purely by numbers and data. It relies heavily on machine learning and algorithms that, technically, feed into themselves to reiterate data. This kind of AI is often used in finance and for running hedge funds, but can also be used for discovering and measuring trends among customers. One of the common uses for this kind of AI is in self-driving cars, where predictive analytics are needed for a safer ride.
While there’s no universal way to measure how smart any AI system is, we can compare the speed they process certain data at. Statistics about artificial intelligence reveal that the current world record holder is Oak Ridge National Laboratory’s Summit, which is also the largest supercomputer in the world. This was the first computer to reach a speed of a quintillion operations per second, using more than 27,000 graphical processing units to run its calculations. This project, powered by IBM, is designed to prove that large-scale AI could solve the climate issues the world currently is currently facing.
Reactive machines, limited memory, theory of mind, and self-aware AI are the four types of artificial intelligence. The first two are widespread, while the other two are in development.
Reactive machines are most commonly used; they contain no prior knowledge, nor do they store anything in their memory. They, as their name suggests, react to the current state presented to them.
Limited memory AI is now being used in self-driving cars, employing a range of data and machine learning to perform calculations in real-time. Researchers are now trying to reach the point of producing theory of mind machines, which are capable of understanding the intent behind data instead of just processing it.
Self-aware AI is still a science-fiction dream (or nightmare). It requires humans to fully understand what consciousness really is and then replicate it and put it into a machine. This final stage of AI development, if it ever happens, will allow machines to be completely autonomous, synthetic humans – androids, in other words.
The debate over AI isn’t just about people wondering “Is AI dangerous?” A significant number of people are worried about losing their jobs to machines. Some of the jobs soon to be replaced by AI include telemarketing, bookkeeping, proofreading, courier services, customer support, retail sales, research analysis, and reception work. According to AI statistics, telemarketing is the field with the highest growth of AI usage. In the coming years, this industry will see a significant downturn in hiring new (human) staff.
This percentage changes on an almost daily basis. According to a study by Gartner, 37% of businesses did so in 2019. It remains to be seen how the COVID-19 pandemic affected these trends. However, numerous large hardware and software companies worldwide continue to invest heavily in AI. As such, the expectation is that this percentage will keep growing steadily.
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