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110+ AI Statistics You Need to Know in 2024 & Predictions

Understanding the numbers behind AI technologies is crucial. With AI statistics, you can learn more about market size, trends, usage in different industries, and concerns.

Here, we gathered more than 110 AI statistics you need to pay attention to in 2024!

Ready for a data-driven journey with artificial intelligence statistics? Let's jump into them and let the numbers speak!

AI Market Size

AI market size keeps growing and will grow for a long time. Here are key statistics related to AI market size and predictions for the future!

In 2023, the worldwide AI market reached a valuation of $150.2 billion, with an anticipated compound annual growth rate (CAGR) of 36.8% from 2023 to 2030. (Source: Markets & Markets’ AI market report)

➤ Also, the revenue for 2030 is estimated at $1,345.2 billion.

➤ According to Grand View Research's analysis on the AI market, the market size for the year 2023 is valued at $196.63 billion, with a projected revenue forecast of $1,811.75 billion in 2030, experiencing a CAGR of 37.3% from 2023 to 2030.

➤ The market size of AI in retail was assessed at $6 billion in 2022 and is projected to experience a CAGR of over 30% from 2023 to 2032. (Source: Global Market Insights' AI retail market analysis)

It is also stated that this growth is attributed to the widespread implementation of product identification and computer vision technologies in retail warehouses.

➤ In 2022, North America contributed to a market share exceeding 36.84%, while the Asia Pacific region is anticipated to achieve the highest CAGR of 20.3% from 2023 to 2032. (Source: Precedence Search's report on AI market)

➤ In terms of technology, the deep learning sector secured a market share of 36.36% in 2022. The services segment held a market share exceeding 39.64% in the same year.

According to Omdia’s AI article AI software revenues are estimated to approach $100 billion globally by the year 2025.

Global Market Insights forecasts the market size for wearable AI to achieve $180 billion by 2025.

➤ As indicated in the AI market report from Next Move Strategy Consulting, the AI market is anticipated to reach $1847.50 million by the year 2030.

➤ According to Global Newswire's news about the size of the worldwide AI in manufacturing market the market was recorded at $5,070 million in 2023.

➤ Also, AI in the manufacturing market is expected to reach approximately $68,360 million by 2032, and this signifies a remarkable CAGR of 33.5% from 2023 to 2032.

PR Newswire states that the AI market is projected to attain a value of $228.3 billion by the year 2026 on a global scale.

China is anticipated to experience the most substantial economic benefits from AI, with a projected 26% increase in GDP by 2030, while North America is expected to see a 14.5% boost. (Source: PWC's AI study.)

➤ These two regions are forecasted to contribute to nearly 70% of the global economic impact resulting from AI.

futuristic illustration that includes computer and data

AI Usage & Adoption

Learning AI usage and adoption data can help you optimize your strategy and get insights into key parts.

Let's explore a few statistics related to the usage of AI.

➤ According to Insider Intelligence's content on generative AI and age groups, by 2025, over half of the monthly users in the United States from the Gen Z (52.9%) and millennial (52.0%) demographics will engage with generative AI.

➤ Furthermore, in 2024, the anticipated number of generative AI users will surpass 100 million.

➤ The same study also states that millennials and Gen Zers are expected to persist in utilizing ChatGPT technology, particularly for brainstorming and fundamental content creation.

➤ Also, Statista's demographic usage statistics show that ChatGPT is most popular among users aged 25 to 34 worldwide, followed by those under 24, making up over 60% of its user base. This aligns with the trend of younger age groups adopting new technologies.

➤ In terms of gender, males represent over 65% of total users in 2023.

A survey conducted by Gartner in 2023 revealed that 79% of corporate strategists consider technologies like analytics, AI, and automation to be crucial for their success in the upcoming two years.

➤ They also mentioned that around 50% of their strategic planning and execution activities have the potential for partial or full automation, a significant increase from the current level of 15%.

row chart displaying interest in using AI for various tasks

According to Forbes' AI consumer sentiment article,, people expressed interest in using AI for various tasks, which are:

  • responding to messages from friends and colleagues (45%)
  • seeking solutions to financial inquiries (43%)
  • planning travel itineraries (38%)
  • composing emails (31%)
  • preparing for job interviews (30%)
  • crafting social media posts (25%)
  • simplifying complex or lengthy information (19%)

➤ While 6% of the participants were unsure about the potential applications of AI, 11% indicated a lack of tendency to use AI for any specific reason.

➤ As Forbes stated in the same article, approximately 54% of respondents believe that AI has the potential to improve extended written content, such as website material.

Instant messaging, including chatbots, was identified as an area for enhancement by 53% of participants.

More data about where consumers want to interact with AI:

  • 54% Long-form written content
  • 53% instant messaging (i.e. Chatbots)
  • 46% text messages
  • 48% emails
  • 39% phone calls
  • 40% personalized advertising
  • 37% personalized services (i.e., product recommendations)

According to Reuters' article about ChatGPT in 2023 within two months of its launch in November 2022, ChatGPT achieved a user base of 100 million. The tool became among the applications with the most rapid growth in history.

As GOV.UK states in a publication about AI activity in the UK, approximately 15% of businesses have embraced at least one AI technology, encompassing a total of 432,000 companies.

➤ Approximately 2% of businesses are presently in the trial phase of AI implementation, while 10% have intentions to adopt at least one AI technology in the future.

This corresponds to 62,000 businesses currently piloting AI and 292,000 businesses planning future adoption.

➤ GOV.UK also states that in the UK, 68% of large companies, 34% of medium-sized companies, and 15% of small companies have incorporated at least one AI technology.

➤ Although small businesses constitute the majority of the UK business landscape, their lower adoption rate contributes to the overall average adoption rate of 15% in the country.

➤ Around 20% of large firms (480 companies), 8% of medium-sized firms (1,500 companies), and 3% of small firms (49,300 companies) are presently utilizing four or five AI technologies to enhance their business operations in the UK.

➤ In UK, as of now, the IT and telecommunications sector leads with the highest adoption rate at 29.5%, closely followed by the legal sector at 29.2%.

➤ The hospitality sector has the lowest adoption rate at 11.9%, with the health and retail sectors sharing the same lower adoption rate of 11.5%.

As Mckinsey's article about the state of AI in 2023 shows approximately one-third of respondents note their organizations actively use generative AI in at least one function, signifying a 60% adoption rate among organizations using AI.

➤ Additionally, 40% of those with AI adoption state an increased overall AI investment due to generative AI, with 28% confirming its presence on their agenda.

➤ The dominating business functions utilizing these tools align with common AI usage areas, which are:

  • marketing,
  • sales,
  • product development,
  • service operations.

As Salesforce indicates in generative AI statistics, 75% of users employing generative AI aim to automate tasks in their work and use it for work-related communication.

➤ According to Gartner's press release about AI usage, 45% of businesses are expanding their investments in generative AI across various functions, and 22% are extending these investments across more than three functions.

a bar chart displaying generative AI investment by business function

The highest adoption or investment rate in generative AI is in software development, with marketing and customer service closely following.

According to Statista's research on voice assistant users, during 2023, approximately 146 million people in the United States utilized voice assistants, which makes nearly half of the nation's population.

➤ Estimations indicate a growth in the number of voice assistant users to reach 157.1 million by the year 2026.

AI in Marketing

Marketing is one of the biggest industries that uses artificial intelligence. Marketers can use AI marketing tools to speed up their marketing activities and automate tasks to focus on other strategies.

Here, you can find various statistics related to AI and marketing and apply AI to your own marketing activities.

➤ Based on Statista's statistics about marketers and AI, 47% expressed confidence in the ability of AI to target advertisements effectively. The survey was prepared with insights from a total of 853 marketing experts in the United States, United Kingdom, India, and Canada.

➤ Additionally, 42% of respondents trusted AI to dynamically personalize content and offers, while 39% believed in AI's ability to optimize email campaign timing.

➤ According to Statista's findings about AI marketing revenue, over 80% of professionals use some kind of AI technology in their online marketing activities.

➤ Also, when asked marketers about their primary uses of AI, approximately half of respondents cited ad targeting.

Other tasks included personalizing content, optimizing email delivery times, and assessing conversion probabilities.

➤ As stated in HubSpot's state of generative AI article, 90% of marketers using AI state that it is efficient in content generation.

67% of marketers employ AI to speed up content creation and complete tasks such as producing faster copy, conducting fast research, and generating ideas.

Additionally, half of these marketers contend that AI contributes to enhancing the quality of their content.

37% of marketers utilize AI for crafting copy, enriching blogs, and marketing emails.

36% employ AI design tools to generate images for marketing content, and 35% seek ideas and inspiration for marketing content.

➤ Nearly 60% of marketers express that generative AI has proven most beneficial in creating social media posts, closely followed by product descriptions (50%) and emails (43%).

🎯 Also see: 10 Best AI Product Description Generator Tools

➤ Employees using AI tools for manual, administrative, or operational duties report time savings, averaging two and a half hours per day.

85% of users using AI in marketing state that it enhances the personalization of content.

According to Insider Intelligence's article about marketers and generative AI, marketers worldwide identified the following as the primary applications of generative AI:

  • 76% for fundamental content creation
  • 76% for copywriting
  • 71% for sparking creative ideas
  • 63% for analyzing market data
  • 62% for producing visual assets

According to Salesforce's data on generative AI for marketing research 66% of marketers emphasize the necessity for human oversight in effectively utilizing generative AI within their roles.

➤ Meanwhile, 71% of marketers believe that generative AI will help them concentrate on more strategic tasks.

➤ The transformative impact of generative AI on market data analysis is acknowledged by 58% of marketers.

➤ On the other hand, 39% of marketers admit to being unsure about the safe utilization of generative AI.

51% of marketers actively use generative AI, and an additional 22% plan to incorporate it into their operations.

➤ According to the Salesforce State of Marketing report in 2022, 87% of marketers utilizing AI confirm its role in connecting online and offline experiences, while 88% state that AI plays a significant role in personalizing the customer journey.

➤ Salesforce also states that the primary AI applications identified in marketing include:

  • automating customer interactions
  • automating data integration
  • personalizing the customer journey across multiple channels
  • facilitating process automation, such as reporting

🎯 Read "AI Lead Generation Tips & Tools to Enrich Growth Potential" to learn more about using AI for lead generation.

E-commerce & AI

push cart and a white paperbag

E-commerce is another area that benefits from AI in certain activities. Here, you can find quick statistics related to artificial intelligence and e-commerce.

➤ As stated in Salesforce's State of Commerce report, 45% of professionals in the commerce sector express a high level of confidence in their organization's ability to use an AI strategy.

E-commerce professionals using AI estimate an average time savings of 6.4 hours per week.

a row chart displaying AI adoption in e-commerce

Additionally, the state of AI adoption among ecommerce organizations is outlined as follows:

  • 29% have fully implemented AI
  • 48% are in the experimentation phase
  • 20% are in the evaluation stage
  • 3% have no intentions to use AI

➤ According to the Salesforce Connected Shoppers report in 2023, 17% of consumers indicate that they have employed generative AI to seek inspiration for their shopping activities.

🎯 Discover tools you can use for your e-commerce business in our blog post "23 Powerful AI Tools for E-commerce to Drive Growth"

AI's Relation with Jobs and Employment

two women smiling and taking notes

Popularity and all the hype of artificial intelligence bring questions about jobs and employment.

"Will AI replace humans?" is the major question on almost everyone's mind.

Here, you can find data about AI's relation with jobs and employment for a better understanding of this issue.

➤ In a survey with 52 business leaders, 47% are considering using AI instead of hiring new employees.

When asked about the timeline for AI tools like ChatGPT replacing entire employee roles, 51.9% believe it will never happen in their business, making it the most common response. (Source: Tech's article on business leaders & AI over new hires)

According to Goldman Sachs' article on generative AI, AI systems could impact global employment significantly, potentially automating around 300 million full-time jobs due to shifts in work processes.

Forbes’ AI on consumer sentiment article states that more than 75% express concern about AI leading to job losses. Survey shows a notable worry among people concerning the potential influence of AI on employment.

The majority of respondents (77%) expressed concerns that AI could result in job losses within the upcoming 12 months.

a bar chart displaying level of concern for human job loss related to AI

Level of concern for human job loss related to AI:

  • 44% very concerned
  • 33% somewhat concerned
  • 19% neither concerned
  • 4% somewhat concerned
  • 6% very unconcerned

133 million new roles may emerge, better suited to the changes of labor among humans, machines, and algorithms. (Source: McKinsey's insights on workplace automation and future jobs)

➤ AI is expected to be adopted by nearly 75% of companies as a significant factor in algorithmic displacement.

This adoption may lead to significant job turnover, with 50% anticipating job growth and 25% expecting job losses. (Source: WeForum's Future of Jobs Report in 2023)

➤ Nearly half, or 48%, of service professionals express concerns about potential job loss if they fail to acquire proficiency in using generative AI. (Source: Salesforce's sales, service and generative AI article)

➤ Also, Salesfoce report about the state of IT states that 62% of IT leaders express concerns regarding the potential effects of generative AI on their professional careers.

➤ According to Statista's data on challenges in AI-related hiring, in 2022, nearly 80% of respondents found it challenging to recruit AI data scientists, while hiring design specialists was less difficult.

It is also stated that the specialized nature of AI data scientist roles contributes to this challenge, contrasting with the more versatile positions of design specialists.

AI Effect in Customer Service & Chatbots

white robot with blue eyes and a blue laptop

Artificial intelligence plays an important role in customer service. Thanks to AI chatbots like LiveChatAI, both small businesses and big organizations can reduce their support volumes.

Also, AI can be used to boost customer satisfaction. Let's discover the AI effect on customer service and chatbots with statistics together.

Statista states in statistics about the worldwide chatbot market that the chatbot market is anticipated to achieve a size of $1.25 billion by 2025, marking a huge rise from its 2016 market size of $190.8 million.

➤ According to Salesforce's Generative AI Snapshot Series in 2023:

  • 63% of customer service professionals expect that generative AI will enhance their ability to serve customers more rapidly.
  • 54% of service professionals express uncertainty regarding the effective usage of generative AI.
  • 57% of service workers anticipate opportunities for learning about generative AI from their employers.
  • 64% of service professionals state that their employers do not provide training on generative AI.
  • Also, 60% of service workers admit to lacking knowledge on how to maximize the value they get from generative AI.

➤ According to insights from the State of Generative AI article of HubSpot, among marketers using AI, chatbots emerge as the most popular type. 66% of marketers use chatbots as their primary AI tool.

Chatbots, including ChatGPT, Bing AI, and Google Bard, are recognized as the most effective tools for generating marketing content.

In Salesforce's research "State of The Connected Customer", it is stated that 53% of customers believe that the implementation of generative AI will enhance companies' ability to serve customer needs.

🎯 You can visit "18 Best AI Chatbots to Maximize Efficiency in 2024" if you want to explore AI chatbots for your business.

AI in IT, Manufacturing & Other Industries

If you wonder about the usage of AI in IT, manufacturing, and various industries, let's take a look at quick statistics.

➤ As stated in Salesforce's generative AI research 71% of IT leaders express concerns that the adoption of generative AI could elevate their carbon footprint.

99% of IT leaders acknowledge the necessity of implementing measures to prepare for the integration of generative AI.

54% of them highlight the need for enhanced security protocols within their organizations to successfully leverage generative AI.

82% of IT leaders advocate for collaborative efforts among businesses to enhance the functionality of generative AI.

55% of IT leaders emphasize the importance of accurate, comprehensive, and unified data to implement generative AI successfully.

60% of IT leaders doubt the seamless integration of generative AI into their existing technology stack.

➤ A substantial 80% of IT leaders believe that generative AI will enable their organizations to better capitalize on available data.

87% of leaders in analytics and IT indicate that advancements in AI elevate the priority of data management. (Source: Salesforce's State of Data Analytics report)

As mentioned in Salesforce's green software research, majority of technologists, 74%, believe that automation and AI contribute to the sustainable development of software in companies.

According to Statista's report on AI adoption worldwide, AI is extensively employed in service operations, corporate finance, and strategy, with approximately 20% usage reported across various industries.

In product creation, the financial services sector leads with over 30% of respondents utilizing AI in 2023.

➤ Also stated in the same report, the adoption of AI in manufacturing and marketing remains low, given the need for individual human instincts. It is said that these areas are "less conducive to AI applications."

AI & Productivity

AI can boost productivity and help you focus on more important tasks when used properly.

Let's explore data about AI's effect on productivity according to various sources.

➤ According to Slack's article about productivity and saving employees time, 42% of employees in small businesses believe that the implementation of AI tools would enhance their productivity.

In contrast, 9% express the belief that AI tools would lead to a decrease in their productivity.

➤ Workers who demonstrate high productivity at their desks are 242% more inclined to use AI compared to their less productive counterparts. (Source: Slack's state of work report)

Statista's AI and GDP in the United States report shows that the anticipated rise in GDP, attributed to AI-induced productivity gains through the substitution of labor, is forecasted to be 15% points by 2030.

In its article about AI in business, Forbes states that, 64% of business owners anticipate a positive impact from AI, expecting improved customer relationships and increased productivity, with 60% foreseeing sales growth.

AI is also valued for refining decision-making (44%), reducing response times (53%), preventing errors (48%), contributing to cost savings (59%), and streamlining operational processes (42%).

As Nielsen Norman Group states in its article about AI tools and productivity, the use of generative AI in business enhances users' productivity by an average of 66%.

Tasks of greater complexity show more significant improvements, with less-skilled workers experiencing the most substantial benefits from the use of AI.

The same study also shows:

  • AI-equipped support agents managed 13.8% more customer inquiries per hour.
  • Business professionals using AI produced 59% more business documents per hour.
  • Programmers utilizing AI coded 126% more projects per week.

🎯 Pro tip: If you want to boost productivity while working, you can use AI productivity tools or AI scheduling assistants. Using these tools can enhance your productivity and your team's collaboration activities as well.

Concerns & Trust Related to AI

The emergence of AI and its applications brings many concerns for various segments for sure. How likely are people to trust AI? Their major concerns are gathered here with data-driven information.

Forbes states in its article about AI and consumer sentiment that concerns about AI-induced misinformation are widespread, with over 75% expressing apprehension.

In the survey, 76% of respondents were worried about AI causing misinformation on a company's website, with 43% highly concerned and 33% moderately concerned.

About 14% remain neutral, showing neither concern nor unconcern, while 4% and 5% express varying degrees of unconcern, being somewhat or very unconcerned, respectively.

a stacked row chart displaying how likely respondents are to trust a business that uses AI

How likely respondents are to trust a business that uses AI:

  • 7% very unlikely
  • 7% somewhat unlikely
  • 33% very likely
  • 21% neither likely nor unlikely
  • 32% somewhat likely

According to Gartner's poll about generative AI, executives hold the belief that investments in generative AI bring more advantages than risks, with 78% expressing this perspective.

Gartner notes that this percentage is an increase from the earlier poll, where 68% shared the same sentiment.

➤ Organizations are in early stages of addressing risks related to generative AI, with less than 50% of respondents stating that their companies are currently taking steps to reduce the most significant risks, which are inaccuracies. (Source: Mckinsey's insights on the state of AI in 2023)

➤ As expressed in Deloitte's article about ethical technology, despite the excitement about the potential productivity and profit that generative AI could bring, participants have concerns about its potential drawbacks.

Respondents stated the following as their concerns regarding generative AI:

a row chart displaying concerns regarding generative AI
  • 22% data privacy
  • 14% transparency
  • 12% data poisoning
  • 12% intellectual property and copyright
  • 12% data provenance
  • 9% data "hallucinations"
  • 8% authentic experiences
  • 7% job displacement
  • 3% static data

Gartner's survey about AI and security tools indicates that 34% of organizations are using or implementing AI application security tools to address generative AI risks, and 56% are exploring such solutions.

Concerns include 57% for leaked secrets in AI-generated code and 58% for incorrect or biased outputs.

➤ In the Salesfoce's generative AI for marketing research in 2023, it is disclosed that 31% of marketers identify accuracy and quality as their primary concerns when considering the utilization of generative AI.

64% of IT leaders express concerns regarding the ethical implications associated with generative AI. (Source: Salesforce's State of IT report in 2023.)

➤ According to Salesforce's healthcare security trends, only 23% of healthcare workers believe using generative AI in their work environment is safe.

15% of healthcare workers indicate that they have already engaged in experimentation with generative AI within their workplace.

77% of business leaders express concern that their company is not taking full advantage of generative AI. (Source: Salesforce's state of data analytics report)

80% of adults in the United States express concerns about the potential misuse of AI to impersonate individuals to gain unauthorized information. (Source: Insider Intelligence's charts on generative AI)

Other Predictions & General Statistics About AI

futuristic digital landscape, filled with abstract representations of data analysis and graphs

According to PWC's AI predictions for 2024, cloud-based enterprise applications are integrating more generative AI capabilities.

It is stated that generative AI will soon be the core of applications, offering increased speed, agility, and customization.

PWC also mentions that merging generative AI with other technologies, such as machine learning, will lead to innovative products and services in extended reality devices, IoT networks, and machine learning processes.

68.5% of business leaders and decision-makers believe that it is unethical for employees to utilize AI tools without permission from their employer, manager, or supervisor. (Source: Tech's article about business leaders blaming AI)

On the other hand, 12.3% of respondents find such usage acceptable.

12% of government employees have already explored using generative AI tools, such as ChatGPT and DALL-E, in a work-related context. (Source: Salesforce's government security trends report)

➤ According to Crunchbase data about startup fundings in 2023, over 25% of the investment funding in American startups this year has been directed towards companies involved in artificial intelligence,

Fun Facts About AI

➤ In March 2023, Elon Musk, Steve Wozniak, and thousands of signatories issued an open letter on the call to pause the training of AI systems more powerful than GPT-4 for a minimum of 6 months.

➤ The open letter included recognition of the potential risks AI systems with human-competitive intelligence pose.

One of the fun facts about AI is how it "hallucinates."

➤ According to a New York Times article about chatbot hallucinations, ChatGPT technology hallucinates approximately 3% of the time.

Chatbots were asked to summarize news articles; even in this setting, hallucination rates increased.

➤ Google's chatbot system has a higher hallucination rate, reaching 27%.

➤ As stated in Tidio’s article about AI hallucinations, 96% of participants have encountered AI-generated content that raised doubts.

Nearly 32% of users identify AI hallucinations through their instincts, while 57% cross-check information with other sources.

Only 27% attribute AI hallucinations to users who generate prompts, with 22% thinking it's the fault of governments pushing their agendas.

➤ Tidio also states that approximately 48% of individuals advocate for enhanced user education on AI to combat hallucinations, while 47% support the implementation of stricter regulations and guidelines for developers.

➤ Most AI bots, such as Siri, Alexa, and Google Assistant, use female voices because tech companies and scientists believe male and female users prefer smoother and more pleasant interactions with AI in female voices. (Source: Sprintzeal's article on facts about AI)

AI Statistics Infographic


We have an infographic of key AI statistics in this article!

Feel free to add this to your site and use it to display artificial intelligence statistics. 🤓

AI statistics in 2024 infographic by Popupsmart

Wrap Up

That is all on artificial intelligence statistics! These statistics show that AI hype will be around for a long time indeed. 🤖

Knowing how to integrate it into business operations will benefit you greatly.

From market size to fun facts about AI, we've discovered the numbers and data-driven information that shape the AI landscape.

Whether you're an industry professional or just getting started, understanding AI statistics can be your key to navigating the future and achieving your goals. 🚀

Frequently Asked Questions

Why are AI Statistics Important?

AI statistics refer to numerical data and metrics related to artificial intelligence. They provide crucial insights for informed decisions. From market trends to societal impact, understanding the numbers is key to navigating the AI landscape.

They are crucial for understanding AI's growth, impact, and trends, helping businesses and researchers make informed decisions.

How Will Artificial Intelligence Change The Future?

AI is set to revolutionize the future by automating tasks, enhancing healthcare, and reshaping industries. It reshapes learning, while economically, it creates industries and demands upskilling.

What Impact Does AI Have On Employment?

AI's impact on employment is a significant concern. Statistics show that 133 million new jobs will emerge in the future. According to Salesforce, 62% of IT leaders were concerned about the effects of generative AI on their professional careers.

Also, Statista's data show that nearly 80% of respondents found it difficult to recruit AI data scientists.

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