Welcome to our curated and vetted list of 45+ AI statistics for 2024.
Here’s a quick breakdown of what we’ll cover:
Top Artificial Intelligence Statistics
- In 2023, the global AI market was forecasted to generate $500B in revenue.
- Nearly 24% of workers fear AI will render their jobs obsolete soon.
- The global AI market will reach $298.247B in 2024, with projections nearing $2T by 2030.
- In 2022, 35% of companies used AI, while another 42% were exploring it.
- A significant 72% of business leaders think generative AI will boost team productivity.
- Roughly 30% of IT professionals worldwide note their organization’s employees save time using AI and automation tools.
- About 27% of Americans report daily interactions with AI.
AI Market Size, Growth Rates, Investment, Leading Players, and More
01. In 2023, the global AI market was forecasted to generate $500B in revenue.
| Global AI Market Revenues: 2020–2023 | In Billion USD |
|---|---|
| 2020 | 296.70 |
| 2021 | 341.80 |
| 2022 | 432.80 |
| 2023 | 500 |
02. The global AI market will hit $298.247B in 2024, nearing $2T by 2030, with a CAGR of 32.9% from 2022 to 2030.
| Global AI Market Size: 2021–2030 | In Million USD |
|---|---|
| 2021 | 95,602.77 |
| 2022 | 142,319.80 |
| 2023 | 207,902.42 |
| 2024* | 298,246.87 |
| 2025* | 420,465.53 |
| 2026* | 582,948.69 |
| 2027* | 795,384.63 |
| 2028* | 1,068,718.47 |
| 2029* | 1,415,054.84 |
| 2030* | 1,847,495.60 |
03. The global explainable AI market was worth $5.1B in 2022 and is expected to surpass $24B by 2030.
| Global Explainable AI Market Revenues: 2022–2030 | In Billion USD |
|---|---|
| 2022 | 5.10 |
| 2023* | 6.28 |
| 2024* | 7.70 |
| 2025* | 9.39 |
| 2026* | 11.43 |
| 2027* | 13.87 |
| 2028* | 16.81 |
| 2029* | 20.33 |
| 2030* | 24.58 |
04. The global robotic AI market is projected to see a tenfold increase from 2021 to 2030.
| Global Robotic AI Market Size: 2021–2030 | In Million USD |
|---|---|
| 2021 | 6,865.68 |
| 2022 | 9,392.25 |
| 2023 | 12,825.12 |
| 2024 | 17,397.27 |
| 2025 | 23,347.14 |
| 2026 | 30,888.27 |
| 2027 | 40,170.19 |
| 2028 | 51,216.99 |
| 2029 | 63,867.59 |
| 2030 | 77,726.85 |
05. In 2022, the global wearable AI market was worth $21.2B and is projected to grow at a CAGR of 29.8% from 2023 to 2030.
06. The chatbot market will grow to around $1.25B in 2025.
07. The global generative AI market, worth $10.5B in 2022, is projected to hit $191.8B by 2032, growing at a 34.1% CAGR from 2023 to 2032.
08. In 2023, the US led major Western economies with about 15,000 companies involved in AI.
| Global Count of AI Companies in Major Economies (2023) | Number |
|---|---|
| United States | 15,000 |
| United Kingdom | 8,900 |
| European Union | 6,000 |
| Canada | 1,800 |
| Germany | 1,250 |
| France | 1,000 |
| Israel | 850 |
| Switzerland | 450 |
09. As of December 2022, Baidu led globally with 13,993 active AI and machine learning patent families.
| Top Global Companies in Machine Learning & AI Patents: 2013–2022 | Baidu | Tencent | State Grid Corp |
|---|---|---|---|
| 2013 | 147 | 125 | 255 |
| 2014 | 270 | 223 | 495 |
| 2015 | 494 | 332 | 861 |
| 2016 | 681 | 438 | 1,255 |
| 2017 | 1,141 | 713 | 1,792 |
| 2018 | 2,176 | 1,550 | 2,442 |
| 2019 | 3,633 | 3,639 | 3,795 |
| 2020 | 5,885 | 6,921 | 5,667 |
| 2021 | 9,869 | 10,218 | 8,242 |
| 2022 | 13,993 | 13,187 | 11,555 |
10. Global corporate investment in AI hit nearly $92B in 2022, slightly down from the year before.
| Global Corporate AI Investment: 2015–2022 | In Billion USD |
|---|---|
| 2015 | 12.75 |
| 2016 | 17.70 |
| 2017 | 44.08 |
| 2018 | 43.81 |
| 2019 | 48.85 |
| 2020 | 67.85 |
| 2021 | 93.50 |
| 2022 | 91.90 |
11. With $47.4B invested in 2022, the US led AI private investment outpacing China’s $13.4B by 3.5 times.
12. In 2022, AI investments were highest in medical and healthcare at $6.1B, with data management ($5.9B) and Fintech ($5.5B) close behind.
13. AI startup funding dropped from $18.9B in Q1 2021 to $5.4B in Q1 2023.
| Global AI Startup Funding by Quarter: 2020–2023 | In Billion USD |
|---|---|
| Q1 ’20 | 6.40 |
| Q2 ’20 | 7.10 |
| Q3 ’20 | 7.80 |
| Q4 ’20 | 10.90 |
| Q1 ’21 | 18.90 |
| Q2 ’21 | 17.10 |
| Q3 ’21 | 18.20 |
| Q4 ’21 | 17.90 |
| Q1 ’22 | 15.70 |
| Q2 ’22 | 12.80 |
| Q3 ’22 | 8.20 |
| Q4 ’22 | 9.50 |
| Q1 ’23 | 5.40 |
14. Netflix values its personalized recommendation engine at $1B annually.
Sources: Allied Market Research, Business Insider, CB Insights, Global AI Ecosystem, Grand View Research, Next Move Strategy Consulting, Research and Markets, Stanford, Statista
Workers’ Perceptions of AI and Its Impact on Jobs
15. Nearly 24% of workers fear AI will render their jobs obsolete soon.
16. AI automation poses the greatest risk to office and administrative work (46%) in the coming years.
| AI Automation Risk by Industry in the US (2023) | In % |
|---|---|
| Office and administrative support | 46 |
| Legal | 44 |
| Architecture and engineering | 37 |
| Life, physical, and social science | 36 |
| Business and financial operations | 35 |
| Community and social service | 33 |
| Management | 32 |
| Sales and related | 31 |
| Computer and mathematics | 29 |
| Farming, fishing, and forestry | 28 |
17. While a majority (64%) don’t use AI at work, 26% find it beneficial, and only 8% deem it indispensable for their jobs.
18. Only 14% of workers report frequent AI discussions at work, compared to 33% who’ve had minimal talks and 51% with none at all.
19. Roughly 30% of IT professionals worldwide note their organization’s employees save time using new AI and automation tools.
20. A vast majority (85%) of IT professionals believe consumers prefer companies that are transparent about their AI model development, management, and usage.
21. Over half (56%) of workers are uneasy with AI assisting HR in hiring and performance evaluations.
22. About 54% of AI users at organizations today are IT professionals, making them the predominant user group.
| Leading User Groups of AI in Organizations | In % |
|---|---|
| IT professionals | 54 |
| Data engineers | 35 |
| Developers and data scientists | 29 |
| Security professionals | 26 |
| Customer service professionals | 25 |
23. AI-related job postings saw an average increase from 1.7% in 2021 to 1.9% in 2022.
24. In the US, the estimated total pay for an AI Engineer is around $134,132 annually, with an average salary of $108,096.
Sources: Glassdoor, IBM, Stanford University, SurveyMonkey
Global Adoption of AI in Business
25. A full 94% of business leaders concur that AI is essential for a company’s future success.
26. A significant 72% of business leaders think generative AI will boost team productivity.
27. In 2022, 35% of companies used AI, while another 42% were exploring it.
| Global AI Adoption Rates (2022) | In % |
|---|---|
| China | 58 |
| India | 57 |
| Italy | 42 |
| Singapore | 39 |
| United Arab Emirates | 38 |
| Global | 35 |
| Germany | 34 |
| France | 31 |
| Spain | 31 |
| Latin America | 29 |
| Canada | 28 |
| United Kingdom | 26 |
| United States | 25 |
| Australia | 24 |
| South Korea | 22 |
28. AI is prevalent in service operations, strategy, and corporate finance, with about 20% of industries using AI in these areas.
| AI Adoption in Global Organizations by Industry and Function in 2022 (in %) | HR | Marketing & Sales | Strategy & Corporate Finance | Supply Chain Management |
|---|---|---|---|---|
| All industries | 11 | 5 | 21 | 9 |
| Business, legal, and professional services | 11 | 9 | 19 | 12 |
| Consumer goods/retail | 14 | 3 | 29 | 11 |
| Financial services | 1 | 7 | 23 | 2 |
| Healthcare/pharma | 15 | 2 | 8 | 8 |
| High-tech/telecom | 6 | 4 | 25 | 8 |
29. A close to 43% of AI adoption is driven by advancements that increase its accessibility.
| Key Drivers of AI Adoption | In % |
|---|---|
| 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 |
| Pressure from consumers | 25 |
| Directives from leadership | 23 |
| Company culture | 22 |
| Labor or skills shortages | 22 |
| Environmental pressures | 20 |
30. In 2023, 80.5% of executives reported their organizations invested in AI/ML.
| Where Organizations Allocate Their Data Investment (2023) | In % |
|---|---|
| Data Modernization | 82.0 |
| Data Products | 79.7 |
| AI/ML | 80.5 |
| Data Quality | 78.7 |
| Data Mesh/Fabrics | 41.5 |
| Data Literacy | 54.9 |
31. Limited AI skills, expertise, or knowledge (34%) is the main barrier to successful AI adoption.
| Challenges Hindering AI Adoption | In % |
|---|---|
| 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 |
32. A lack of properly skilled employees for new AI and automation tools is a challenge for 19% of companies.
33. Around 35% of organizations report actively training and reskilling employees to adapt to new AI and automation software and tools.
34. A quarter of companies turn to AI as a solution for labor or skills shortages.
35. One of the primary ways organizations use AI to tackle labor or skill shortages is by minimizing manual or repetitive tasks (65%).
| How Companies Employ AI to Tackle Labor or Skill Shortages | In % |
|---|---|
| Reduce manual or repetitive tasks | 65 |
| Increase employee learning and training | 50 |
| Improve recruiting and human resources | 45 |
| Address skills gap with low-code or no-code tools | 35 |
36. 54% of organizations report cost savings and increased efficiency from AI-driven process automation, with 53% noting improved IT or network performance and 48% experiencing enhanced customer experiences.
37. Nearly 66% of companies use or plan to use AI for achieving sustainability objectives.
Sources: Goldman Sachs, IBM, McKinsey, NewVantage Partners, Statista
How Americans Feel about AI
38. About 27% of Americans report daily interactions with AI.
39. A significant 46% of Americans express an equal mix of concern and excitement regarding the growing use of AI in daily life.
40. A total of 39% of Americans expect AI to make their lives somewhat easier (23%) or much easier (16%).
41. Only 26% of Americans hold a positive view of driverless passenger vehicles being beneficial for society.
42. Just 35% of Americans believe that AI products and services offer more benefits than drawbacks.
43. Nearly 49% of US adults are interested in AI-powered online search products.
| US Adults’ Interest in AI-Related Products (2023) | In % |
|---|---|
| AI-powered online search | 49 |
| AI-generated recipes | 48 |
| AI-powered smart assistants | 48 |
| AI-designed products based on consumer trends | 44 |
| AI-powered in-vehicle navigation | 44 |
| AI tools for police and criminal justice | 43 |
| AI-generated grocery lists | 42 |
| AI-generated shopping recommendations | 42 |
| AI-powered flight and hotel recommendations | 41 |
| AI-generated menu recommendations at restaurants | 40 |
44. Data privacy concerns in relation to AI are shared by 74% of adults in the US.
| AI-Related Concerns among US Adults (2023) | In % |
|---|---|
| My data privacy | 74 |
| My data privacy | 70 |
| Spread of misinformation | 70 |
| Misinformation included in results from search engines that use AI | 68 |
| The creation of deepfakes | 68 |
| Job loss across industries | 66 |
| Possibility that AI applications could learn to function independently from humans | 64 |
| Child access to AI | 64 |
| Accuracy of results in search engines that use AI | 63 |
| Transparency of how AI models are trained and developed in search engines that use AI | 63 |
45. Approximately 47% of US adults express some level of comfort with AI-targeted advertising for shoppers.
Sources: Ipsos, Morning Consult, Pew Research Center, Stanford University, X (Twitter), YouGov
Stacking It All Up
That concludes our deep dive into AI statistics.
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