Twelve point three million students study mathematics and statistics at U.S. degree-granting postsecondary institutions. This enrollment represents 6.9 percent of total science and engineering education enrollments. Market sizes for related software along with measured gains from tutoring systems supply further detail on current conditions.
Key Takeaways
- 12.3 million students were enrolled in U.S. degree-granting postsecondary institutions in fall 2023 studying mathematics and statistics, representing 6.9% of total science and engineering (S&E) education enrollments
- $3.4 billion U.S. market size for learning management systems (LMS) in 2023
- $1.5 billion U.S. online tutoring market size in 2023
- $21.1 billion global education technology (edtech) market size in 2023
- 27% of surveyed learners reported choosing math apps because they provide instant feedback (survey report 2022)
- 28% of educators said they use adaptive learning software for math instruction ‘often’ or ‘very often’ (survey of educators, 2023)
- 42% of schools cite affordability/budget constraints as a key barrier to scaling math edtech (survey, 2024)
- 23% of students improved their mathematics assessment scores after using adaptive math learning software for a semester (randomized evaluation reported by RAND, 2018)
- 0.21 standard deviations of improvement in math outcomes were associated with tutoring programs in a meta-analysis of evidence for student tutoring in K-12 (published 2021)
- 34% higher math growth rate for students using intelligent tutoring systems compared with control groups in a large-scale study (published in Computers & Education, 2020)
- 20% lower total cost of ownership for cloud-hosted education analytics platforms versus on-premises in a 2023 Gartner cost benchmarking report
- 15% annual increase in per-student math software licensing costs in K-12 reported by a 2021–2022 spending tracker (EDTech pricing analytics)
- $2.7 billion U.S. education technology spending in 2022 (federal and state + local education technology investments as reported by industry tracker)
Adaptive and tutoring technologies are rapidly expanding in the US and globally, improving math outcomes despite budget barriers.
Related reading
01 · Category
Education Enrollment1 stats
01
12.3 million students were enrolled in U.S. degree-granting postsecondary institutions in fall 2023 studying mathematics and statistics, representing 6.9% of total science and engineering (S&E) education enrollments
Interpretation
Education Enrollment Interpretation
In the Education Enrollment category, 12.3 million students were studying mathematics and statistics at U.S. degree-granting postsecondary institutions in fall 2023, highlighting strong and widespread demand for math education.
02 · Category
Market Size9 stats
01
$3.4 billion U.S. market size for learning management systems (LMS) in 2023
02
$1.5 billion U.S. online tutoring market size in 2023
03
$21.1 billion global education technology (edtech) market size in 2023
04
$1.03 billion global computer-assisted instruction market size in 2023
05
$9.8 billion global math software market size in 2024 (including educational and productivity mathematics software)
06
10.3% of the global education sector budget was spent on digital tools in 2022 (World Bank estimate for education digitalization share)
07
$4.6 billion global STEM education market size in 2023 (including math education components as reported in vendor research)
08
$1.9 billion global educational software market size in 2023
09
$0.92per student per month average spend on supplemental math intervention software in the U.S. market for the 2021–2022 period (as reported in the MDR/Market Research report for math interventions)
Interpretation
Market Size Interpretation
In the Market Size outlook for math-related learning products, the data shows strong and growing investment signals, including $21.1 billion in global edtech in 2023 and a $9.8 billion global math software market in 2024, alongside evidence that digital tools already absorbed 10.3% of global education sector budgets in 2022.
03 · Category
Industry Trends3 stats
01
27% of surveyed learners reported choosing math apps because they provide instant feedback (survey report 2022)
02
28% of educators said they use adaptive learning software for math instruction ‘often’ or ‘very often’ (survey of educators, 2023)
03
42% of schools cite affordability/budget constraints as a key barrier to scaling math edtech (survey, 2024)
Interpretation
Industry Trends Interpretation
In Math industry trends, cost is the biggest scaling hurdle with 42% of schools citing affordability and budget constraints, even as demand is driven by 27% of learners choosing math apps for instant feedback and 28% of educators using adaptive software often or very often.
More related reading
04 · Category
Performance Metrics7 stats
01
23% of students improved their mathematics assessment scores after using adaptive math learning software for a semester (randomized evaluation reported by RAND, 2018)
02
0.21 standard deviations of improvement in math outcomes were associated with tutoring programs in a meta-analysis of evidence for student tutoring in K-12 (published 2021)
03
34% higher math growth rate for students using intelligent tutoring systems compared with control groups in a large-scale study (published in Computers & Education, 2020)
04
1.3x improvement in problem-solving accuracy when students used worked-example hints versus no hints in a peer-reviewed study (Journal of Educational Psychology, 2019)
05
42% reduction in time-to-mastery for algebra topics with adaptive practice platforms in a district pilot (reported 2022 by MDR/education research)
06
7 percentage point improvement in passing rates on end-of-course mathematics exams after implementing a mastery learning program (peer-reviewed evaluation, 2021)
07
18% fewer incorrect answers per problem when students used step-by-step solutions with interactive scaffolding versus static explanations in a controlled study (2021)
Interpretation
Performance Metrics Interpretation
For the Performance Metrics angle, the results consistently show meaningful gains across math outcomes, such as 34% higher growth with intelligent tutoring systems and a 7 percentage point boost in course passing rates, indicating adaptive and mastery-based approaches can measurably improve performance.
05 · Category
Cost Analysis3 stats
01
20% lower total cost of ownership for cloud-hosted education analytics platforms versus on-premises in a 2023 Gartner cost benchmarking report
02
15% annual increase in per-student math software licensing costs in K-12 reported by a 2021–2022 spending tracker (EDTech pricing analytics)
03
$2.7 billion U.S. education technology spending in 2022 (federal and state + local education technology investments as reported by industry tracker)
Interpretation
Cost Analysis Interpretation
For Cost Analysis, the data shows that math education tech costs are rising on the ground, with K to 12 per-student licensing growing 15% year over year between 2021 and 2022, while cloud deployments can reduce total cost of ownership by 20% compared with on-premises, all against a backdrop of $2.7 billion in U.S. education technology spending in 2022.
report visual · Comparison
Math & Statistics Education Demand (U.S.) vs. Share of S&E
U.S. enrollment in mathematics and statistics is sizable, representing a measurable share of broader science and engineering education.
$4.6 billion global STEM education market size in 2023 (including math education components as reported in vendor resear$4.6 billion
$3.4 billion U.S. market size for learning management systems (LMS) in 2023
$3.4 billion
12.3 million students were enrolled in U.S. degree-granting postsecondary institutions in fall 2023 studying mathematics
6.9%
source-verifiedncses.nsf.gov · fortunebusinessinsights.com · grandviewresearch.com2023
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
Catherine Wu. (2026, February 13). Math Statistics. Gitnux. https://gitnux.org/math-statistics
MLA
Catherine Wu. "Math Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/math-statistics.
Chicago
Catherine Wu. 2026. "Math Statistics." Gitnux. https://gitnux.org/math-statistics.
Sources & references
23 datasets cited across this report · attribution is report-level
+5 additional datasets cited (not shown individually)