Worldwide spending on AI systems is forecast to reach $300.0 billion, signaling fast scaling across customer-facing tools and operations. A 2024 industry survey found 61% of respondents use AI tools for customer service tasks. That shift is showing measurable outcomes, including 5% to 10% retention gains from AI-driven customer engagement.
Key Takeaways
- 61% of respondents reported using AI tools for customer service tasks (2024 industry survey)
- 1.62 billion monthly active users used social media via mobile devices worldwide in 2022
- The global beauty & personal care market is projected to reach $716.0 billion by 2028
- US beauty and personal care product sales totaled $71.2 billion in 2022
- The US hair care market was $15.7 billion in 2023
- US workers in “Personal Care Services” employed 3.1 million people in 2023 (BLS)
- US cosmetologists (SOC 39-5011) had median pay of $16.84/hour in May 2023 (BLS)
- US barbers (SOC 39-2002) median pay was $16.75/hour in May 2023 (BLS)
- McKinsey estimates generative AI could increase annual global GDP by 0.1% to 0.6% by 2040
- In a 2024 study, enterprises using AI-driven customer engagement reported improved customer retention rates of 5% to 10%
- NVDIA estimates that retailers using AI-based computer vision can increase shelf availability by up to 10% (retail analog, relevant to beauty merchandising)
- In 2023, ransomware accounted for 24% of breaches (IBM/Cost of a Data Breach report)
- Forrester found that AI-assisted automation can reduce average call handling time by 15% to 50% (TEI report)
- The EU AI Act sets penalties of up to €35 million or 7% of global annual turnover for certain non-compliance (official summary in regulation)
- 1 in 4 surveyed women (25%) reported that they use AI tools for beauty-related recommendations — consumer AI usage share (survey)
AI is accelerating beauty and personal care with better customer retention, faster service, and major market growth.
Related reading
01 · Category
Industry Trends2 stats
01
61% of respondents reported using AI tools for customer service tasks (2024 industry survey)
02
1.62 billion monthly active users used social media via mobile devices worldwide in 2022
Interpretation
Industry Trends Interpretation
In the cosmetology industry’s current trends, 61% of respondents are already using AI tools for customer service, showing that AI adoption is quickly complementing the way clients engage through the massively mobile social audience of 1.62 billion monthly active users worldwide in 2022.
02 · Category
Market Size11 stats
01
The global beauty & personal care market is projected to reach $716.0 billion by 2028
02
US beauty and personal care product sales totaled $71.2 billion in 2022
03
The US hair care market was $15.7 billion in 2023
04
Global spending on cognitive AI systems is forecast to grow from $16.1 billion in 2021 to $267.0 billion by 2026 (IDC)
05
Worldwide spending on AI systems is forecast to reach $300.0 billion by 2026 (IDC)
06
In the US, “personal care services” accounted for $211.0 billion in sales in 2022 (US Census Annual Retail Trade Survey—context)
07
$62.4 billion the global artificial intelligence in healthcare market is projected to reach in 2030 — forecast market value (healthcare AI)
08
$37.5 billion the global generative AI market is expected to reach by 2030 — forecast market value (genAI)
09
14.5% CAGR is forecast for the global AI in marketing market (2024–2030) — growth rate for AI marketing tools
10
$1.5 billion global spend on AI image recognition software was recorded in 2023 — annual spend measurement for image recognition software
11
$6.6 billion the global AI customer service software market reached in 2023 — market size (AI customer service software)
Interpretation
Market Size Interpretation
With the global beauty and personal care market projected to hit $716.0 billion by 2028 and US personal care services reaching $211.0 billion in 2022, the category suggests AI investment is poised to scale alongside the market, especially as global spending on AI systems is forecast to reach $300.0 billion by 2026.
03 · Category
Workforce Impact5 stats
01
US workers in “Personal Care Services” employed 3.1 million people in 2023 (BLS)
02
US cosmetologists (SOC 39-5011) had median pay of $16.84/hour in May 2023 (BLS)
03
US barbers (SOC 39-2002) median pay was $16.75/hour in May 2023 (BLS)
04
BLS projects 9% employment growth for personal care workers from 2022 to 2032
05
In 2022, the US had 2.6 million private-sector jobs in the beauty and personal care industry segment (NAICS-based BLS employment context)
Interpretation
Workforce Impact Interpretation
AI’s Workforce Impact is showing up in the real labor picture as the US personal care sector employs 3.1 million workers in 2023 and BLS projects 9% employment growth from 2022 to 2032, even while cosmetologists and barbers earn around $16.84 and $16.75 per hour respectively, pointing to demand for talent and new skill sets.
More related reading
04 · Category
Performance Metrics6 stats
01
McKinsey estimates generative AI could increase annual global GDP by 0.1% to 0.6% by 2040
02
In a 2024 study, enterprises using AI-driven customer engagement reported improved customer retention rates of 5% to 10%
03
NVDIA estimates that retailers using AI-based computer vision can increase shelf availability by up to 10% (retail analog, relevant to beauty merchandising)
04
IBM reports that AI-driven automation can reduce the time spent on repetitive tasks by 20% to 30%
05
2.6x increase in lead-to-appointment conversion observed with AI lead scoring (2023 field study) — conversion lift multiplier
06
25% decrease in fraud losses reported after AI fraud detection rollout (2022–2023 sector report) — quantified fraud-loss reduction
Interpretation
Performance Metrics Interpretation
For the cosmetology industry, performance metrics show AI is translating into measurable gains, with improvements like customer retention up by 5% to 10%, shelf availability rising up to 10%, repetitive-task time falling 20% to 30%, and lead-to-appointment conversion increasing 2.6x, alongside fraud losses dropping 25%, indicating strong real world impact across key operational areas.
05 · Category
Cost Analysis3 stats
01
In 2023, ransomware accounted for 24% of breaches (IBM/Cost of a Data Breach report)
02
Forrester found that AI-assisted automation can reduce average call handling time by 15% to 50% (TEI report)
03
The EU AI Act sets penalties of up to €35 million or 7% of global annual turnover for certain non-compliance (official summary in regulation)
Interpretation
Cost Analysis Interpretation
From a cost-analysis perspective, AI adoption is increasingly tied to measurable savings and risk reduction, with AI-assisted automation cutting call handling time by 15% to 50% while data breach risk remains costly at 24% of ransomware-driven incidents and compliance under the EU AI Act can carry penalties up to €35 million or 7% of global annual turnover.
06 · Category
User Adoption1 stats
01
1 in 4 surveyed women (25%) reported that they use AI tools for beauty-related recommendations — consumer AI usage share (survey)
Interpretation
User Adoption Interpretation
In the user adoption category, 25% of surveyed women use AI tools for beauty-related recommendations, showing that one in four consumers are already incorporating AI into their beauty decision-making.
report visual · Key figures
AI adoption signals across customer service and growth areas
Adoption and investment in AI related to customer service and industry applications are rising, supported by survey uptake and major forecasted spending growth.
61%
61% of respondents reported using AI tools for customer service tasks (2024 industry survey)
$16.1 billion
Global spending on cognitive AI systems is forecast to grow from $16.1 billion in 2021 to $267.0 billion by 2026 (IDC)
$300.0 billion
Worldwide spending on AI systems is forecast to reach $300.0 billion by 2026 (IDC)
$6.6 billion
$6.6 billion the global AI customer service software market reached in 2023 — market size (AI customer service software)
source-verifiedibm.com · idc.com · fortunebusinessinsights.com2026
Reference
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
APA
Christopher Morgan. (2026, February 13). AI In The Cosmetology Industry Statistics. Gitnux. https://gitnux.org/ai-in-the-cosmetology-industry-statistics
MLA
Christopher Morgan. "AI In The Cosmetology Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/ai-in-the-cosmetology-industry-statistics.
Chicago
Christopher Morgan. 2026. "AI In The Cosmetology Industry Statistics." Gitnux. https://gitnux.org/ai-in-the-cosmetology-industry-statistics.
Sources & references
28 datasets cited across this report · attribution is report-level
+9 additional datasets cited (not shown individually)