40+ Interesting AI Statistics You Should Know (2023)

Miha Cacic Blog Post Author Profile Pic
By Miha Cacic
April 21st, 2023
AI statistics

Artificial intelligence (AI) is changing our world in incredible ways, affecting businesses, technologies, and our everyday lives. To truly understand its impact, we need to look at the numbers that demonstrate its growth and power.

In this article, we've gathered over 40 interesting statistics that give you an inside look into the world of AI. These numbers cover important topics like market size, revenue, how AI is being used in different industries, and its effects on jobs. We'll also explore what the future might hold for AI, giving you an idea of the changes and advancements we can expect.

Table of contents

  • Leading Artificial Intelligence statistics 

  • AI market size and revenue statistics 

  • The adoption rate of AI by industry 

  • Where is AI used today?

  • The impact of AI in the workspace statistics

  • What the future holds for AI

Join us in exploring the exciting world of AI through these eye-opening statistics, which will help you gain a better understanding of this game-changing technology and what it means for our future.

Leading Artificial Intelligence statistics

  1. By 2030, AI technology is predicted to reduce the total U.S. workforce by 16%. (PWC)

  2. 40% of marketing and sales departments rank AI as their top technology priority than any other department. (Forbes)

  3. 75% of C-level executives fear going out of business by 2025 if they don’t adopt AI in their operations. (Accenture)

  4. By 2030, AI is foreseen to contribute $15.7 trillion to the global economy. (PWC)

  5. A whopping 54% of executives say that implementing AI in their workplace has increased productivity. (PWC)

  6. The gaming application segment of the wearable AI market is anticipated to grow at a CAGR of 35% from 2018 to 2025. (GlobeNewswire)

  7. The number of AI-powered voice assistants worldwide is forecasted to double to 8.4 billion by 2024. (Statista)

  8. By 2030, China is predicted to lead the world in AI technology, accounting for 26.1% of the global market share. (PWC)

  9. The AI market is predicted to grow at an annual rate of 33.2% between 2020 and 2027. (GlobeNewswire)

  10. By 2025, 80% of retail executives expect their companies to use AI-powered intelligent automation. (Analytics Insight)

AI market size and revenue statistics

The worldwide market for AI is valued at nearly $100 billion (Statista)

AI Market Statistic (2023)

The worldwide AI market was valued at nearly  $100 billion in 2021 and has jumped to $210 billion since. It's projected to reach a whopping $2 trillion by 2030.

The worldwide market for AI is expected to reach nearly $2 trillion by 2030 (Statista)

The market for artificial intelligence is expected to grow rapidly over the next decade, rising from about $100 billion U.S. today to nearly $2 trillion U.S. by 2030.

The annual growth rate of AI between 2020 and 2027 is estimated to be 33.2% (Fortune Business Insights)

The AI market is growing rapidly and will continue to do so in the future as shown below.

AI Market Growth (2023)

AI adoption rate by industry 

Some companies, geographies, and industries are adopting AI faster than others (IBM)

AI adoption continued at a stable pace in 2022, with more than a third of companies (35%) reporting the use of AI in their business, a four-point increase from 2021.

AI Adoption Rate

In the automotive industry, the AI market is anticipated to grow by 27.2% (Market Research Future)

The automotive AI market is projected to expand from USD 2.6 billion in 2022 to USD 9.6 billion by 2030, at a 27.2% annual rate between 2022 and 2030.

Here’s the automotive AI Market Report Scope:

Projected Market Size by 2030

USD 9.6 Billion

CAGR during 2022-2030

27.2% CAGR

The Baseline Year

2021

Forecast

2022-2030

Segmentation by Process

Signal recognition, image recognition, data mining.

Segmentation by application

Human-machine Interface, semi-autonomous driving, autonomous driving.

Market driving forces

Blind spot alert, advanced driver assistance systems, cloud-hosted intelligence driver assist features, internet of things.

By 2023, retailers are expected to spend $12 billion on AI services, an increase of 230% from what they spent in 2019 (Juniper)

According to Juniper, the global spending by retailers on AI services will reach $12 billion by 2023, up from an estimated $3.6 billion in 2019. 

The report also estimates that over 325,000 retailers will adopt AI technology over the period.

By 2024, it is estimated that there will be 8.4 billion digital voice assistants worldwide (Statista)

Forecasts indicate that by 2024, the world will have over 8.4 billion digital voice assistants like Siri, Google Assistant, and Alexa in use – a number higher than the global population.

Digital voice assistants

Although digital assistants are all designed to perform similar functions, the differences between them can be quite significant.

For example, Google Assistant has a 93% accuracy record in navigation compared to its voice assistant competitors. 

Here's a breakdown of the leading digital assistants' IQ accuracy test results:

Answered correctly 

Understood query

Google Assistant

93%

100%

Siri

83%

99.8%

Alexa

80%

99.9%

More than half of people believe that AI is robust enough to keep their personal information safe when they share it online (Pew Research Center)

52% of people are confident that cyber-security is not a threat when sharing personal information online because of robust AI technologies.

In fact, according to a study by We Forum, 95% of cybersecurity breaches result from human error.

Fintech companies that implement chatbots are expected to see cost savings of $7.3 billion in 2023 (Juniper Research)

Research has predicted that chatbots will save the banking industry $7.3 billion globally by 2023, up from an estimated $209 million in 2019.

This translates to 862 million hours saved in 2023, amounting to nearly half a million working years.

The research also found that AI, including chatbots, will have a highly disruptive impact on insurance claims management, leading to cost savings of almost $1.3 billion by 2023, across motor, life, property, and health insurance, up from $300 million in 2019.

Between 2020 to 2022, the number of businesses using or exploring AI  services increased by 380% (IBM)

Data shows that in 2020, only 39% of organizations planned to invest in AI technology.

In 2022, the number of organizations using or exploring AI has increased by another 38% 

Currently, 77% of organizations are using or exploring AI.

Here are the top 10 user groups of AI at organizations today:

Organization

Percentage

IT professionals

54%

Data engineers

35%

Developers and data scientists

29%

Security professionals

26% 

Customer service professionals

25%

Marketing professionals

23%

Product managers

21%

Sales professionals

21%

HR professionals

21%

Finance professionals 

21%

Based on the stats above, it is clear that AI adoption differs across companies, geographies, and industries.

Across countries, most IT professionals at organizations exploring or deploying AI report that their company is developing or already has AI strategies in place. 

Let’s take a look at the top 10 factors driving the adoption of AI.

Factors

Percentage

Advancements in AI that make it more accessible

43%

Need to reduce costs and automate key processes

42%

Increasing amount of AI embedded into standard off-the-shelf business applications

37% 

Competitive pressure

31%

Demands due to the COVID-19 pandemic

31%

Pressure from consumers

25% 

Directives from leadership

23%

Company culture

22%

Labor or skills shortages

22%

Environmental pressures

20%

In 2022 more than half of B2B marketers found AI valuable for their sales and marketing strategy (Zoominfo)

64% of B2B marketers found AI valuable for their sales and marketing strategies.

The cost of supply chain management in 2019 decreased by 44% after AI technology was implemented (McKinsey)

AI cost savings supply chain management

Among the companies that have implemented artificial intelligence (AI) technology in their supply chains, those that saw the most considerable cost decrease were in the supply chain management industry.

Data science leaders and over 1,600 C-suite executives are seeing 50% more revenue growth by using AI (Accenture

A recent report has identified a small group (12%) of high-performing organizations that are using AI to generate 50% more revenue growth while outperforming on customer experience (CX) and Environmental, Social and Governance (ESG) metrics.

For Manufacturing alone, AI can boost GVA by almost US$4 trillion in 2035 (Accenture)

AI GVA manufacturing

The rise of AI could significantly boost corporate profits. 

Accenture suggests that AI has the potential to boost rates of profitability by an average of 38% by 2035 across 16 industries. 

In manufacturing alone, AI can potentially boost GVA by almost US$4 trillion in 2035.

By 2035, the education sector is expected to see an increase in productivity between 0.9% to 1.6% due to artificial intelligence (Accenture)

AI education impact

AI is expected to increase productivity in the education sector by between 0.9% and 1.6% by 2035. Labor-intensive sectors like agriculture and construction, which tend to have low productivity growth, will experience a boost in GVA growth.

AI could boost profitability by an average of 38% by 2035 across 16 industries  (Accenture)

Research shows that AI has the potential to boost rates of profitability by an average of 38% by 2035 and lead to an economic boost of  $14 trillion (U.S.) across 16 industries in 12 countries by 2035. 

However, this can only happen if organizations adopt a people-first mindset and take bold and responsible steps to apply AI technologies to their business.

Here's a breakdown of the projected impact of AI on GVA growth in different industries by 2035:

Industry

Baseline

Already steady state

Information & Communication

3.4%

4.8%

Manufacturing

2.1%

4.4%

Financial Services

2.4%

4.3%

Wholesale & Retail

2.0%

4.0%

Transportation & Storage

2.1%

4.0%

Professional Service

2.3%

3.8%

Healthcare

2.2%

3.4%

Construction

2.3%

3.4%

Agriculture, Forestry & Fishing

1.3%

3.4%

Accommodation & Food Services

1.4%

3.2%

Utilities

1.4%

3.1%

Arts, Entertainment & Recreation

1.9%

3.1%

Social Services

1.6%

2.8%

Public Services

0.9%

2.3%

Other Services

0.7%

1.7%

Education

0.9%

1.6%

A survey revealed that more than half of consumers would rather use a chatbot to communicate with a business than call customer service (Tidio)

62% of consumers would rather talk to a chatbot than wait 15 minutes for an answer.

Nearly 4 out of 10 medical providers rely on AI-powered computer systems to help them diagnose patients (Gartner)

38% of medical providers use AI-powered computer systems as their diagnosis assistants

Where is AI today? 

At the moment, over 4 billion people worldwide have access to AI-powered voice assistants (Statista)

AI-powered voice assistants are already installed in more than 4 billion devices, and this number is expected to reach 8.4 billion by 2024.

1 in 4 travel and hospital companies worldwide that are currently using chatbot technology are more likely to be the first adopters of AI chatbots (Statista)

25% of travel and hospital companies worldwide that are currently using chatbot technology are likely to be early adopters of artificial intelligence-powered chatbots

More than 4 out of 10 people use voice search assistant at least once every day (Google Mobile Voice Survey)

Voice assistant usage

41% of people use the voice search function at least once every day.

Fewer than a third of consumers think that AI can deliver the same or better customer service than humans (Pega)

Consumer AI perception

Despite the popularity and rapid growth of AI, consumers are still skeptical about its ability to deliver equal or better customer service than humans.

In fact, only 27% of consumers think it can.

It's no surprise that AI adoption is still slow in many industries—barriers to AI adoption remain persistent.

Let's take a look at the top five factors that are keeping businesses from successfully adopting AI.

Factors

Percentage

Limited AI skills, expertise or knowledge

34%

Price is too high

29%

Lack of tools or platforms to develop models

25%

Projects are too complex or difficult to integrate and scale

24%

Too much data complexity

24%

The impact of AI in the workspace statistics

1 in 5 businesses say that one of the most effective uses of AI is to automate tasks such as invoicing and contract validation (Gartner)

In a survey, 20% indicated that automating tasks such as invoicing and contract validation was their second most important use for artificial intelligence.

Nearly three-quarters of companies plan to use AI systems to stop fraud (Business Insider)

As artificial intelligence becomes more popular in banking, financial institutions are building on their existing solutions to solve increasingly complex challenges.

75% of financial services professionals plan to use Artificial intelligence systems to eliminate fraud.

More than half of IT and business professional use AI systems to make decisions and give recommendations to employees (Gartner)

Although chatbots and virtual personal assistants are mostly used by companies to serve their external customers, 56% of organizations today use artificial intelligence internally to support decision making and give recommendations to employees.

Between 2018 and 2022, more than half of IT companies worldwide reported they had accelerated their adoption of AI (IBM)

IT companies accelerating AI adoption

53% of IT companies across the globe reported they have accelerated AI adoption for the last 2 years.

More than one-third of global IT professionals say their employees are already saving time with AI and automation software (IBM)

AI is helping companies address labor and skills shortages by automating repetitive tasks. 

30% of global IT professionals say employees at their organization are already saving time with new AI and automation software and tools.

More than two-thirds of businesses have started incorporating Responsible AI practices (Accenture)

Some 69% of companies have started to use Responsible AI practices, but only 6% have made them an integral part of their work.

This means they apply a responsible, ethical approach to their data and AI models, helping them engender trust and scale with confidence.

Companies that use AI for sales were able to increase their leads by more than 50% — reduce call time by 60-70%, and realize cost reductions of 40-60% (Harvard Business Review)

AI is certainly revolutionary and transformative.

The companies that used AI to increase their sales say they've seen a range of benefits, including a more than 50% increase in leads and appointments, cost reductions of 40%–60%, and call time reductions of 60%–70%.

More than 80% of global business organizations are confident that AI will give them a competitive advantage (Statista)

Data shows that 87% of global organizations believe that artificial intelligence will give them an advantage over their competitors.

A recent survey of 1,600 C-suite professionals and data leaders found that nearly three-fourths of companies have already integrated AI into their business strategies (Accenture)

AI is being integrated into the strategies of nearly 75% of companies, who are reworking their cloud plans to achieve success.

Companies intergrating AI

An overwhelming amount of executives believe their companies won't reach their growth objectives unless they use artificial intelligence (Accenture)

A whopping 84% of executives believe they will not achieve their growth objectives unless they scale AI.

4 out of 10 companies plan to invest heavily in ChatGPT by 2023 (Accenture)

Companies investing in ChatGPT

42% of companies plan to invest heavily in ChatGPT in 2023.

Language learning machines will impact every category of work, from 9% at the low end to 63% at the high end (Accenture)

Generative AI is getting better at understanding language, inferring intent, and being independently creative.

According to Accenture, machine learning technology is set to radically alter science and business.

The future of work will be enhanced by the use of AI co-pilots, as people will be able to achieve more than they could alone.

Language tasks account for 51% of the total time employees work  (Accenture)

98% of global executives agree AI foundation models will play an important role in their organization’s strategies in the next 3 to 5 years.

Language tasks can make up 51% of the total time employees work, while 40% of all working hours can be impacted by large language models

Labor productivity in an AI world: AI promises to significantly boost the productivity of labor in developed economies (Accenture)

AI productivity boost

What the future holds for AI

More than 8 in 10 of customers' relationships with businesses enterprises will be handled without human involvement (IBM)

85% of customers' relationships with businesses will be managed without human interaction.

With the help of artificial intelligence, clinical health can potentially save the U.S. healthcare economy $150 billion per year by 2026 (Accenture)

A study found that the market for AI healthcare was on track to hit $6.6 billion in 2021. 

The research also noted that key clinical health AI applications could potentially create $150 billion in annual savings for the US healthcare economy by 2026.

Nearly half of all consumers are convinced that AI will improve their lives in some way (Strategy Analytics)

Consumers on AI making life better

Data suggest that 41% of consumers believe that artificial intelligence will make their lives better in some way.

By 2030, AI is predicted to bring on 26% of China's Gross Domestic Product (Statista)

The contribution of AI to China's economy is projected to reach 26.1% of its GDP, making it the country with the largest contribution from AI. 

North America comes in second place, contributing 14.5% of its GDP.

In the next 13 years, intelligent robots could replace 30% of the human workforce (PWC)

It's forecasted that by 2030, the labor force will have reduced by over 1/4 of what it was in 2017.

It's also estimated that globally, between 400 million and 800 million workers may need to change occupations by 2030.

By 2025, AI will replace 1 in 6 American jobs (Forrester

A new report details that by 2025, 16% of US jobs will be replaced by automation, while 9% of new jobs will be created—resulting in a net loss of 7% of US jobs.

Conclusion

The diverse array of AI statistics we've explored showcases the undeniable impact artificial intelligence has on our lives today and its potential to shape our future. While some may feel uncertain or only somewhat equipped to tackle the challenges that come with these advanced technologies, it's crucial to stay informed and adapt as AI continues to evolve.

We hope that this collection of AI statistics has provided you with valuable insights into the rapidly expanding world of artificial intelligence. To delve deeper into AI models and further enhance your understanding, take a look at the Entry Point platform. Together, let's embrace the transformative power of AI and harness its potential for a better tomorrow.