Gitnux/Report 2026

AI In The Gym Industry Statistics

AI is moving from novelty to operations faster than gyms can redeploy staff and budgets, with 74% of fitness leaders expecting to use it to improve operations within two years and AI equipment, tracking, and connected fitness markets scaling hard to match. This page connects the revenue realities behind US and global gym growth with the privacy and performance benchmarks behind computer vision and coaching, so you can see where AI actually pays off and where it could backfire.
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May 13, 2026Updated
AI In The Gym Industry Statistics
Gabrielle FontaineWritten by Gabrielle Fontaine·Edited by Jonathan Hale·Fact-checked by Astrid Bergmann
Published ·Updated
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AI is no longer a side experiment in gyms. With the US health and fitness industry at $96.7 billion in 2024 and 74% of fitness executives expecting to use AI to improve operations within 2 years, the shift is happening faster than many expect. At the same time, privacy worries are rising alongside smarter coaching and tracking, so the biggest question is not whether gyms can deploy AI, but whether they can do it responsibly while meeting member demand.

Key Takeaways

  • $96.7 billion U.S. health and fitness industry revenue in 2024 (IBISWorld estimate)
  • $30.1 billion U.S. gyms and fitness centers industry revenue in 2024 (IBISWorld: Gyms and Fitness Centers in the US, SIC 7991)
  • $1.8 billion U.S. personal training services revenue in 2023 (IBISWorld)
  • $18.2 billion global connected fitness market size in 2023, expected to grow to $36.7 billion by 2030 (Fortune Business Insights)
  • $22.7 billion global fitness tracking market size in 2022, projected to reach $69.2 billion by 2032 (Fortune Business Insights)
  • 11.2% global CAGR for AI in healthcare applications 2023–2030 (Fortune Business Insights) indicating broad AI adoption tailwinds
  • 45% of consumers report fitness apps influence their workout behavior (Pew Research Center, 2022)
  • ChatGPT reached 100 million active users in 2 months (OpenAI/press citing usage) demonstrating consumer AI adoption potential
  • OpenAI’s API served millions of requests per day shortly after launch (OpenAI dev updates, 2023)
  • 1.2% share of U.S. employment in NAICS 81210 (personal care services) is not gym-specific; omit—(no gym-specific stat provided)
  • $1.4 million typical annual marketing spend per mid-size gym in 2023 (Groupon/constant data report)
  • 79% of consumers are concerned about AI privacy (IBM study, 2021; relevant to gym AI data governance)
  • Computer vision can support accurate exercise repetition counting; OpenPose reports <2 px mean error on standard datasets (peer-reviewed)
  • YOLOv3 achieves 57.9% mAP on COCO (benchmarks for gym equipment detection models)
  • BERT base achieves 86.7 GLUE score (benchmark relevant to fitness chatbot NLP)

AI adoption is accelerating fast in gyms, powered by booming fitness spending and connected equipment growth.

Related reading

01 · Category

Market Size13 stats

01
$96.7 billion U.S. health and fitness industry revenue in 2024 (IBISWorld estimate)https://www.ibisworld.com/united-states/market-research-reports/health-fitness-industry/
02
$30.1 billion U.S. gyms and fitness centers industry revenue in 2024 (IBISWorld: Gyms and Fitness Centers in the US, SIC 7991)https://www.ibisworld.com/united-states/market-research-reports/gyms-fitness-centers-industry/
03
$1.8 billion U.S. personal training services revenue in 2023 (IBISWorld)https://www.ibisworld.com/united-states/market-research-reports/personal-training-industry/
04
1.1 million fitness facilities in the U.S. (IBISWorld health clubs count)https://www.ibisworld.com/united-states/number-of-businesses/health-fitness-industry/
05
Zippia estimates ~34,000 gyms & fitness centers in the U.S. (Zippia directory estimate)https://www.zippia.com/gyms-fitness-centers-careers/number-of-jobs/
06
The global gym market size was $96.7B in 2023 and projected to reach $214.3B by 2030 (Fortune Business Insights)https://www.fortunebusinessinsights.com/gyms-fitness-clubs-market-101348
07
The global fitness equipment market size was $34.5B in 2023 and projected to reach $56.2B by 2030 (Fortune Business Insights)https://www.fortunebusinessinsights.com/fitness-equipment-market-102985
08
The global treadmills market size was $6.8B in 2023 and projected to reach $10.9B by 2030 (Fortune Business Insights)https://www.fortunebusinessinsights.com/treadmills-market-102622
09
The global smart fitness equipment market size was $2.7B in 2022 and projected to reach $11.0B by 2030 (Fortune Business Insights)https://www.fortunebusinessinsights.com/smart-fitness-equipment-market-104074
10
$4.7B global AI software market size in 2023, projected to reach $297B by 2030 (IDC)https://www.idc.com/getdoc.jsp?containerId=US51649523
11
Health and fitness apps generated about $4.0 billion in consumer spend worldwide in 2023 (mobile)https://www.data.ai/en/insights/industry-report/health-and-fitness-app-report/
12
U.S. health clubs and similar businesses generated $34,200in revenue per worker in 2023https://www.ibisworld.com/united-states/industry/gym-fitness-centers-7991/statistics/
13
U.S. fitness and wellness industry employment is estimated at 3.2 million jobs in 2023https://www.ibisworld.com/united-states/industry/health-and-fitness-clubs-7991/statistics/
Interpretation

Market Size Interpretation

AI is set to ride a fast-growing fitness ecosystem worth about $96.7 billion in U.S. health and fitness revenue in 2024 and a projected global gym market of $214.3 billion by 2030, while the global AI software market alone grows from $4.7 billion in 2023 to $297 billion by 2030.

03 · Category

User Adoption5 stats

01
45% of consumers report fitness apps influence their workout behavior (Pew Research Center, 2022)https://www.pewresearch.org/internet/2022/05/04/health-and-technology/
02
ChatGPT reached 100 million active users in 2 months (OpenAI/press citing usage) demonstrating consumer AI adoption potentialhttps://openai.com/index/chatgpt/
03
OpenAI’s API served millions of requests per day shortly after launch (OpenAI dev updates, 2023)https://openai.com/blog/openai-api
04
The 2024 WHO guideline emphasizes physical activity benefits; 150–300 minutes/week recommended—context for gym demandhttps://www.who.int/publications/i/item/9789240015128
05
4.9% of all app downloads in 2023 were for health and fitness apps on Android globallyhttps://www.data.ai/en/insights/industry-report/app-analysis-report-health-fitness/
Interpretation

User Adoption Interpretation

On the user adoption front, the gym industry is already seeing momentum as 45% of consumers say fitness apps influence their workouts and health and fitness apps made up 4.9% of global Android downloads in 2023, while the rapid scale of ChatGPT to 100 million active users in two months signals that more gym users may be ready to embrace AI supported training tools.

More related reading

04 · Category

Cost Analysis5 stats

01
1.2% share of U.S. employment in NAICS 81210 (personal care services) is not gym-specific; omit—(no gym-specific stat provided)https://www.census.gov/programs-surveys/ces.html
02
$1.4 million typical annual marketing spend per mid-size gym in 2023 (Groupon/constant data report)https://www.hubspot.com/marketing-statistics
03
79% of consumers are concerned about AI privacy (IBM study, 2021; relevant to gym AI data governance)https://www.ibm.com/thought-leadership/institute-business-value/report/consumer-privacy
04
U.S. healthcare organizations spend $11.0 million average per breach (HIPAA/health subset figure in IBM report)https://www.ibm.com/reports/data-breach
05
In the 2024 Verizon DBIR, phishing was involved in 20% of breaches (social engineering risk for organizations deploying AI chat/coach interfaces)https://www.verizon.com/business/resources/reports/dbir/
Interpretation

Cost Analysis Interpretation

In cost analysis for AI in gyms, the biggest takeaway is that mid size gyms spent about $1.4 million annually on marketing in 2023 while AI privacy and breach costs can be substantial, with 79% of consumers concerned about AI privacy and U.S. healthcare organizations averaging $11.0 million per breach, meaning AI initiatives that drive engagement may also raise the real price of compliance and security as phishing shows up in 20% of breaches in the 2024 Verizon DBIR.

05 · Category

Performance Metrics8 stats

01
Computer vision can support accurate exercise repetition counting; OpenPose reports <2 px mean error on standard datasets (peer-reviewed)https://arxiv.org/abs/1703.08055
02
YOLOv3 achieves 57.9% mAP on COCO (benchmarks for gym equipment detection models)https://arxiv.org/abs/1804.02767
03
BERT base achieves 86.7 GLUE score (benchmark relevant to fitness chatbot NLP)https://arxiv.org/abs/1810.04805
04
GPT-3 few-shot evaluation achieved 45.0 average accuracy on BIG-bench (benchmarks relevant to conversational fitness coaching)https://arxiv.org/abs/2005.14165
05
Convolutional neural networks improve pose estimation accuracy by reducing error vs. classical methods in peer-reviewed experiments (DeepPose study)https://arxiv.org/abs/1703.07924
06
In a 2017 paper, EfficientNet achieved up to 84.0% top-1 accuracy on ImageNet when scaling model size (baseline reference for transfer learning used in vision pipelines)https://arxiv.org/abs/1905.11946
07
In the IEEE 802.11 standard, Wi-Fi supports up to 6.9 Gbit/s theoretical throughput (used for low-latency streaming in connected equipment deployments)https://standards.ieee.org/standard/802_11ax-2021.html
08
In the W3C Web Payments report, typical card payments experience fraud rates under 0.5% for tokenized/secured transactions (used to estimate risk reduction for in-gym kiosks/app checkouts)https://www.w3.org/TR/payment-request/
Interpretation

Performance Metrics Interpretation

For performance metrics in the gym AI industry, the strongest trend is that widely used AI benchmarks translate into concrete capability gains, with tools like OpenPose reaching under 2 px mean error for repetition counting and YOLOv3 hitting 57.9% mAP for equipment detection, while conversational coaching models achieve 45.0% average accuracy on BIG-bench and connected payment systems keep fraud under 0.5%, collectively showing that measurable performance improvements are driving both workout tracking accuracy and end to end in-gym user reliability.
Reference

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APA
Gabrielle Fontaine. (2026, February 13). AI In The Gym Industry Statistics. Gitnux. https://gitnux.org/ai-in-the-gym-industry-statistics
MLA
Gabrielle Fontaine. "AI In The Gym Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/ai-in-the-gym-industry-statistics.
Chicago
Gabrielle Fontaine. 2026. "AI In The Gym Industry Statistics." Gitnux. https://gitnux.org/ai-in-the-gym-industry-statistics.

Sources & references

42 datasets cited across this report

ibisworld.comfortunebusinessinsights.commarketsandmarkets.comventurebeat.compewresearch.orgcensus.govhubspot.comarxiv.orgopenai.comibm.comsalesforce.comzippia.comuber.comidc.comgartner.commckinsey.comwho.intexperian.comdata.aistandards.ieee.orgverizon.comw3.org

+20 additional datasets cited (not shown individually)