The custom software development services market is projected to climb to $1,099.7 billion by 2028 from $849.6 billion in 2023, while the broader custom software development market is set to reach $1,574.8 billion by 2030. At the same time, teams are juggling new delivery expectations like agile and cloud adoption with persistent pressure to prevent costly defects and security gaps. If you have ever wondered whether faster releases actually reduce rework or just move the risk downstream, the dataset below has the tension you need.
Key Takeaways
- $849.6 billion global custom software development services market size in 2023, expected to reach $1,099.7 billion by 2028 (CAGR 5.1%)
- $1,022.7 billion global custom software development market size in 2023, projected to reach $1,574.8 billion by 2030 (CAGR 6.4%)
- $1,338.2 million global custom software development market size in 2022, projected to reach $2,329.4 million by 2030 (CAGR 6.9%)
- 22% of IT budgets are allocated to application modernization (2023 survey)
- 27% of respondents in a 2023 survey reported that they planned to increase software development spend in the next 12 months
- 28% of organizations use microservices architecture for production systems (2023 survey)
- Average software defect cost increases by 10x from design to production if found later (commonly reported by industry studies; Boehm)
- The cost to fix a defect found after release can be about 100x higher than fixing during requirements (Boehm’s model)
- 10%–20% of software defects are security vulnerabilities (industry study)
- DORA: high performers have 44x fewer change failure rates than low performers (2019/2020 research)
- The average cost to fix a bug is 15.1% of the project’s total cost when discovered during testing (peer-reviewed software cost model)
- Finding defects earlier reduces rework effort; defects found in requirements phase are cheapest (system dynamics model: 1x baseline vs later phases)
- The average time to contain a breach is 73 days (2023 report)
- OWASP ASVS v4.0 contains 4 verification levels and 5 requirements categories
Custom software development is growing fast, fueled by agile and automation, but fixing issues early is critical.
Related reading
01 · Category
Market Size3 stats
01
$849.6 billion global custom software development services market size in 2023, expected to reach $1,099.7 billion by 2028 (CAGR 5.1%)https://www.fortunebusinessinsights.com/custom-software-development-services-market-102076
02
$1,022.7 billion global custom software development market size in 2023, projected to reach $1,574.8 billion by 2030 (CAGR 6.4%)https://www.precedenceresearch.com/custom-software-development-market
03
$1,338.2 million global custom software development market size in 2022, projected to reach $2,329.4 million by 2030 (CAGR 6.9%)https://www.gminsights.com/industry-analysis/custom-software-development-market
Interpretation
Market Size Interpretation
The market size for custom software development is growing steadily, rising from $849.6 billion in 2023 to an expected $1,099.7 billion by 2028 with a 5.1% CAGR, underscoring sustained expansion in this category.
02 · Category
Industry Trends16 stats
01
22% of IT budgets are allocated to application modernization (2023 survey)https://www.gartner.com/en/newsroom/press-releases/2023-10-25-gartner-says-it-spending-to-reach-4-trillion-in-2024
02
27% of respondents in a 2023 survey reported that they planned to increase software development spend in the next 12 monthshttps://www.idc.com/getdoc.jsp?containerId=prUS51164123
03
28% of organizations use microservices architecture for production systems (2023 survey)https://www.itrevolution.com/reports/microservices-survey-2023
04
25% of organizations reported they are using generative AI in software development for productivity in 2024https://www.gartner.com/en/newsroom/press-releases/2024-03-28-gartner-says-generative-ai-is-transforming-software-development-and-operations
05
52% of software projects used agile methods in 2023 (survey)https://www.pmi.org/learning/library/agile-methods-project-management-what-are-they-10901
06
3.1% of global GDP is spent on software development and IT services annually (estimate based on international accounts)https://unctad.org/system/files/official-document/dtlstict2024d1_en.pdf
07
74% of organizations say they have a dedicated DevSecOps program in place (2023 survey)https://www.checkmarx.com/resources/state-of-devsecops
08
14% of developers report using AI for code generation in production (Stack Overflow 2024 survey)https://survey.stackoverflow.co/2024/
09
24% of organizations used AI tools in development workflows in 2024 (McKinsey survey figure)https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier
10
31% of organizations reported legacy application modernization as a top priority in 2024 (Gartner/IDC related findings)https://www.gartner.com/en/articles/top-10-strategic-technology-trends-for-2024
11
12% of surveyed software teams report that their deployment pipeline is fully automated (CI/CD) end-to-endhttps://www.devops.com/the-state-of-devops/
12
61% of organizations are adopting cloud infrastructure to support application developmenthttps://www.ibm.com/services/technology/cloud/thought-leadership/global-cloud-adoption-index
13
58% of enterprises report that they have increased their use of APIs over the last two yearshttps://www.gartner.com/en/newsroom/press-releases/2024-09-19-gartner-says-digital-ecosystems-are-driving-api-monetization
14
53% of enterprises report that they have a dedicated DevOps function or teamhttps://silo.tips/download/state-of-devops-2023
15
The US Bureau of Labor Statistics projects computer and mathematical occupations to grow by 15% from 2022 to 2032https://www.bls.gov/ooh/computer-and-information-technology/home.htm
16
US Bureau of Labor Statistics reports median pay of $132,930for software developers in 2023https://www.bls.gov/oes/current/oes151152.htm
Interpretation
Industry Trends Interpretation
With 25% of organizations using generative AI in software development for productivity in 2024 alongside 27% planning higher software development spend in the next 12 months, the industry trends clearly point to faster, smarter custom software delivery being prioritized for both innovation and modernization.
03 · Category
Cost Analysis3 stats
01
Average software defect cost increases by 10x from design to production if found later (commonly reported by industry studies; Boehm)https://dl.acm.org/doi/10.1145/51851.51853
02
The cost to fix a defect found after release can be about 100x higher than fixing during requirements (Boehm’s model)https://dl.acm.org/doi/10.1145/305271.305323
03
10%–20% of software defects are security vulnerabilities (industry study)https://www.owasp.org/www-project-top-ten/
Interpretation
Cost Analysis Interpretation
From a cost analysis perspective, catching defects early matters because fixing them after release can cost about 100 times more than during requirements and delays can turn a defect cost into a 10x increase from design to production, while 10% to 20% of defects are security vulnerabilities that make early prevention even more financially critical.
More related reading
04 · Category
Performance Metrics11 stats
01
DORA: high performers have 44x fewer change failure rates than low performers (2019/2020 research)https://www.devops-research.com/research.html
02
The average cost to fix a bug is 15.1% of the project’s total cost when discovered during testing (peer-reviewed software cost model)https://www.sciencedirect.com/science/article/pii/S0164121206000512
03
Finding defects earlier reduces rework effort; defects found in requirements phase are cheapest (system dynamics model: 1x baseline vs later phases)https://ieeexplore.ieee.org/document/9446925
04
76% of developers say they use automated testing at least once per day (2023/2024 developer survey)https://www.jetbrains.com/lp/devecosystem-2023/
05
Average developer time lost to context switching is 20% (Microsoft Work Trend Index study)https://www.microsoft.com/en-us/worklab/work-trend-index/
06
62% of organizations reported faster incident recovery when using automated remediation (SRE/incident management survey)https://sre.google/sre-book/
07
2.6x higher productivity with pair programming for software tasks (peer-reviewed or controlled studies)https://dl.acm.org/doi/10.1145/1240624.1240636
08
3.1x fewer defects with TDD (peer-reviewed systematic review/meta-analysis)https://www.sciencedirect.com/science/article/pii/S0164121209001246
09
45% of application security professionals say SAST is integrated into CI/CD (2023 report)https://www.veracode.com/security-labs/state-of-software-security-report
10
39% of developers report that AI coding assistants increase the speed of code completion taskshttps://arxiv.org/abs/2302.12290
11
A systematic literature review found that code review reduces defect rates by a measurable amount across multiple studieshttps://ieeexplore.ieee.org/document/10692111
Interpretation
Performance Metrics Interpretation
Across performance metrics for custom software development, teams using better engineering practices stand out sharply, such as DORA high performers seeing 44x fewer change failure rates and TDD cutting defects by 3.1x, showing that measurable reliability and quality gains are strongly linked to how teams build and test.
05 · Category
Security & Risk2 stats
01
The average time to contain a breach is 73 days (2023 report)https://www.ibm.com/reports/data-breach
02
OWASP ASVS v4.0 contains 4 verification levels and 5 requirements categorieshttps://owasp.org/www-project-application-security-verification-standard/
Interpretation
Security & Risk Interpretation
From a Security and Risk perspective, it takes an average of 73 days to contain a breach while OWASP ASVS v4.0 provides structure with 4 verification levels across 5 requirements categories to help teams reduce that risk.
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
Isabelle Moreau. (2026, February 13). Custom Software Development Industry Statistics. Gitnux. https://gitnux.org/custom-software-development-industry-statistics
MLA
Isabelle Moreau. "Custom Software Development Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/custom-software-development-industry-statistics.
Chicago
Isabelle Moreau. 2026. "Custom Software Development Industry Statistics." Gitnux. https://gitnux.org/custom-software-development-industry-statistics.
Sources & references
35 datasets cited across this report
+10 additional datasets cited (not shown individually)