101 Fascinating AI Statistics You Need To Know In 2023

With the release of Open AI’s ChatGPT in late 2022, artificial intelligence has become a hot topic as of late. And you know what’s cooler than artificial intelligence? A huge list of AI statistics!

But the truth is, there’s much more to artificial intelligence than just generative AI software like ChatGPT. In fact, it’s an industry that’s been developing for decades and is finally getting the VC funding it deserves in recent years.

That’s why we’ve developed a list of over 100 interesting artificial intelligence statistics, so you can understand where the rapidly growing global AI market is headed in the next several years.

Let’s dive in!

General AI Statistics

Here are some statistics that delve into the general artificial intelligence industry surrounding use cases, how the market will grow, and workforce and labor trends within the industry.

The global AI market is expected to account for USD $407bn by 2027 (Markets And Markets)
The global wearable AI market size is expected to reach USD $180bn by 2025 (Global Market Insights)
The artificial intelligence market is expected to grow at a Compound Annual Growth Rate (CAGR) of 20.1% from 2022 – 2029 (Fortune Business Insights)
~300 AI use cases have been identified (PWC)
Local economies will achieve an up to 26% boost in GDP from AI by 2030 (PWC)
AI is projected to contribute USD $15.7tr to the global economy by 2030 (PWC)
The healthcare industry will see a 37% AI adoption rate in the next 3 years (PWC)
Robots and AI will replace 7% of US jobs by 2025 (Forrester)
AI and robots will replace 16% of US jobs, while creating 9% of US jobs (Forrester)
A 2019 Gartner report estimated that 14% of CIOs have already deployed AI, and 48% would have deployed it be 2019 or 2020 (Gartner)
By 2024, 50% of AI investments will be quantified and linked to specific KPIs to measure ROI (Gartner)
By 2020, AI was expected to eliminate 1.8m jobs, while creating 2.3m jobs (Gartner)
In 2019, over 3.6k AI start-ups in 70+ countries had raised USD $66bn since 2013. (CBInsights)
18 AI-related bills passed into law in 25 top countries in 2021, up from 1 in 2016 (IEEE Spectrum)
63% of people do not realize they are already using AI technology (Markets And Markets)
AI startups collected USD $115bn in 2021, growing 87.2% YoY from USD $61.4bn in 2020 (PitchBook)

(PWC)

Business AI Statistics

With any new technology, businesses will always want to learn how to deploy the technology to improve efficiency or generate revenue for their business.

Here are various statistics that poll executives and business leaders about how they see artificial intelligence impacting their industry.

In 2016, 44% of executives said that delaying AI implementation would make their business vulnerable to new, disruptive start-ups (The Economist)
In 2016, 36% of manufacturing executives said they believe AI is a threat to their industry (The Economist)
In 2016, 30% of executives admitted that senior management lacks sufficient understanding of artificial intelligence, which makes building a business case for AI challenging (The Economist)
In 2016, 27% of executives cited technology cost as the largest obstacle to artificial intelligence adoption (The Economist)
79% of executives believe that AI will make their job easier and more efficient (The Economist)
In 2016, 46% of executives anticipated that artificial intelligence would displace humans from certain roles within the next 5 years (The Economist)
The number of companies reporting AI adoption in at least one function in 2021 increased to 56% from 50% in 2020 (McKinsey)
92% of large companies reported that they are achieving returns on their artificial intelligence investments (NewVantage Partners)
Larger companies are 70% more likely to have implemented an AI solution compared to smaller companies (IBM)
80% of companies are using automation or plan to do so in the next year (IBM)
A global survey showed that 58% of respondents who had participated in an artificial intelligence growth implementation agreed their AI intelligence solution increased efficiency (MIT Sloan)
The top three barriers to AI adoption are limited AI expertise or knowledge (39%), increasing data complexity & data silos (32%), and lack of tools or platforms for developing AI models (28%) (IBM)
84% of IT professionals report that the ability to explain how their AI arrived at a decision is important to their business (IBM)
Over 75% of global IT professionals report that it is critical to their business that they can trust their ai technology output is fair, safe and reliable (IBM)
Organizations with an enterprise-wide AI strategy and leadership who communicate a bold AI industry vision are 1.7 times more likely to achieve high outcomes (Deloitte)
44.1% of organizations reported well-established AI ethics policies and practices in place (Wavestone)
88% of executives said that artificial intelligence would either be critically important or very important to their companies in 2022 (CNBC)
Financial services business leaders are confident in AI’s ability to detect fraud (93%) (KPMG)
Government decision-makers are confident in AI’s ability to improve bureaucratic efficiency (KPMG)
Gen Z & Millennial business leaders are more likely (90%) than older Gen X and Baby Boomer business leaders (79%) to be more optimistic about the potential actions the Biden administration will do to help advance AI adoption in enterprise companies (KPMG)
The biggest challenges to AI adoption are financial resources (27%), knowledge or skills (24%) and cultural resistance (24%) (London School of Economics)
63% of news organizations don’t have an artificial intelligence strategy (London School of Economics)

(The Economist)

Natural Language Processing (NLP) AI Statistics

Natural language processing is a growing field within AI that has content creators excited at the possibilities of automating content generation.

Here are some statistics about how natural language processing is evolving over time:

Nearly 50% of all companies report that their company is currently utilizing natural language processing (NLP) (IBM)
Nearly 25% of companies report that they plan to use NLP in the next 12 months (IBM)
80% of all companies are already using AI automation software and tools and plan to increase their use of these AI technologies in the next 12 months (IBM)
38% of companies used machine learning technologies to make employees more productive during the COVID-19 pandemic (IBM)
39% of companies are planning to use automation to preempt potential downtime or technical issues (IBM)

Virtual/Voice Assistants AI Statistics

Smart speakers and virtual assistants have become entrenched in our daily lives. You’re using a virtual assistant if you own and use a Siri, Alexa, or Google Home smart speaker. If you use any of Google’s voice search capabilities or Microsoft’s Cortana, these are all examples of virtual assistant software and hardware too.

Here are some key statistics about virtual assistants, voice assistants, and smart speakers:

A 2019 Microsoft report stated that 75% of households would have at least one artificial intelligence AI speaker by 2020 (Microsoft)
In 2019, 72% of Microsoft’s survey respondents reported using an AI digital assistant like Siri, Alexa, Google Assistant or Cortana (Microsoft)
In 2019, Microsoft found that 54% of people use AI smart speakers to manage their homes (Microsoft)
The global conversational AI market size is expected to grow at a CAGR of 21.8% from USD $6.8bn in 2021 (Markets And Markets)
The most common use case for an artificial intelligence smart speaker is “finding quick facts” with 68% of AI smart speaker users saying that they use their ai smart speaker to find quick facts (Microsoft)
27% of Google users are using voice search on mobile (Google)
The Intelligence Virtual Assitant (IVA) AI market was valued at USD $2.58bn in 2020 and is expected to reach USD $6.27bn by 2026 at a CAGR of 36.45% (Mordor Intelligence)
By 2024, estimates suggest that more than 8 billion digital voice assistants will be in use globally (Statista)
As of 2020, a third of US and UK households own at least one smart speaker (Statista)
62% of American adults use a voice assistant on any device, including smart speakers, smartphones, in-car systems, and more (National Public Media)
57% of voice command users use voice commands daily in 2022 (National Public Media)

(Microsoft)

Chatbot AI Statistics

Chatbots are perhaps the most popular AI technology we’ve seen to date. If your business doesn’t have a chatbot in 2023, you’re missing out on a consumer staple that consumers have come to expect.

Moreover, you’re likely missing out on conversions as well, as evidenced by some of the statistics below:

93% of marketers rely on artificial intelligence chatbots as a part of their marketing strategy (Botco)
82% of people have used an artificial intelligence chatbot before (Botco)
57% of business executives believe that AI chatbots can drive a large return on investment from a minimal investment (Botco)
60% of Zoomers & Millenials agreed that automation and chatbots are useful for simple issues (ZenDesk)
70% of all consumers state that chatbots answer all or most of their questions satisfactorily (Botco)
Nearly 40% of Internet users worldwide prefer interacting with chatbots instead of virtual agents (Business Insider)
98% of marketers say that chatbots improve the customer journey (Botco)
56% of organizations say that conversational chatbots are driving disruption within their industry (Accenture)
64% of executives reported their companies are not planning to implement bots due to user adoption hesitancy (Accenture)
Informational Chatbots are most popular in the health (64%), communications (59%) and banking (50%) industries (Accenture)
Consumer retail spend over chatbots will reach USD $142bn by 2024, up from USD $2.8bn in 2019 (Juniper Research)
70% of the global number of chatbots would be attributable to the Far East & China by 2024 (Juniper Research)
Chatbots could save healthcare, banking, and retail industries USD $11bn annually by 2023 (Juniper Research)
The most common predicted uses for chatbots that consumers reported were “getting quick answers to questions in an emergency (37%), resolving a complaint or problem (35%), getting detailed answers or explanations (35%) (Drift)
The most common reason consumers reported for not using a chatbot was “I’d prefer to deal with a real-life assistant (43%)” (Drift)
The top three potential benefits of customers that consumers reported were “24-hour service (64%),” “Instant responses (55%),” and “Answers to Simple Questions (55%)” (Drift)
87% of companies that don’t currently use chatbots expect to do so in the future (VentureBeat)
Business leaders say chatbots have increased sales by 67% on average (Forbes)

Sales And Marketing AI Statistics

As always, if new technology can generate revenue for a company, you’d bet it’s getting implemented ASAP!

Here are some interesting AI statistics that show how AI is being used within sales and marketing:

64% of marketing firms have artificial intelligence technology in their toolkit (Salesforce)
Firms using AI for sales saw a 60-70% reduction in sales call time (Annutias Group)
Companies that use AI marketing automation see a 451% increase in qualified leads (Annuitas Group)
AI marketing automation cuts the overhead costs of marketing by 12.7% (Annuitas Group)
Marketing AI capabilities drive a 14.5% increase in sales productivity (Nucleus Research)
For every dollar spent, marketing automation returns $5.44 over the first 3 years with a payback period of under 6 months (Oracle)
Lead quantity rises 80% for those using artificial intelligence marketing automation (Orcale)
Over 75% of marketing automation users have increased conversions post-implementation (Oracle)
91% of businesses say that marketing automation is essential for their business (SoftwarePath)
Emails sent by marketing automation software drive 18x more revenue than irrelevant email blasts (SoftwarePath)

Workplace AI Statistics

AI is also helping improve employee productivity and efficiency at companies worldwide. It’s not always about the bottom line.

Here are some statistics that show how AI is helping office workers get their jobs done quicker, faster and better:

81% of office workers believe AI improves their overall performance at work (SnapLogic)
89% of employees believe that AI could support them in up to half of their workload (SnapLogic)
68% of office workers want their employers to deploy more AI technology (SnapLogic)
56% of office workers are already using artificial intelligence to support their daily work (SnapLogic)
51% of office workers believe AI helps them achieve a better work-life balance (SnapLogic)
68% of news organizations worldwide say AI could make journalists work more efficiently (Forbes)
60% of journalists were concerned about the impact AI would have on journalism in 2019 (London School of Economics)

(SnapLogic)

Machine Learning AI Statistics

Machine learning (ML) artificial intelligence technology is broadly defined as “the capability of a machine to imitate intelligent human behavior (MIT Sloan).

Most artificial intelligence technology includes some form of machine learning capabilities. For example, your YouTube algorithm, website chatbots, virtual assistants, and smart speakers are all powered by machine learning.

Here are some key machine learning statistics below:

Machine learning was the technology (18%) that executives were most excited to see grow and develop in 2022 (CNBC)
20% of executives said that machine learning was the technology they would invest the most money in (CNBC)
72% of financial services firms consider machine learning an integral part of their strategy (Refinitiv)
40% of financial services firms expect an increase in machine learning investment due to COVID-19 (Refinitiv)
80% of US clinicians believe that virtual assistants would drastically change healthcare by the end of 2019 (Mordor Intelligence)
73% of healthcare administrative tasks could be automated by artificial intelligence (Insider Intelligence)
Machine learning (ML) AI systems ROI can range from 2 to 5 times the cost (Deloitte)
Most ML projects at enterprise companies range from USD $250k to $20mn (Deloitte)
The global market for machine learning as a service (MLaaS) was USD $1.07bn in 2016 (Deloitte)
The MLaaS market is expected to grow to USD $20bn by 2025 (Deloitte)
Of 375 leading businesses in over 30 countries, 60% of these businesses had already implemented a machine learning strategy (Deloitte)
30% of ML users in 2017 had reported increased internal process efficiencies (Deloitte)

Wrap Up

Well, there you have it. I’ve scoured the web, and these were the top 101 AI statistics I could find as of early 2023. Hopefully, this was useful to you as you educate yourself on the powers and wonders of artificial intelligence.

I plan to keep this list up to date, so if you find any interesting statistics that you think would be helpful to anyone reading this blog that isn’t already in this post, feel free to drop them in the comments below, and I’ll add them to the post!