Software Engineer Statistics (2026)

A hiring plan needs a pay benchmark. A workforce deck needs a headcount. An AI-policy discussion needs an adoption figure. All can be called “software engineer statistics,” yet they measure very different populations.

The short answer: the latest available data points to a large, well-paid software-development workforce and widespread AI-tool use. But there is no single authoritative worldwide software engineer total. Use U.S. occupation figures for U.S. labor-market questions, named models for global developer estimates, and surveys for developer behavior.

Key software engineer statistics for 2026

These are the latest available figures as of 2026, not measurements all collected in calendar year 2026.

• U.S. software-developer employment: The U.S. Bureau of Labor Statistics (BLS) counted 1,717,800 software-developer jobs in 2025 under SOC 15-1252. This is an observed U.S. occupational estimate, not a worldwide software engineer count. BLS Occupational Outlook Handbook

• U.S. software-developer pay: BLS reported a $135,980 median annual wage in May 2025 for U.S. software developers. It is an occupational median, not an average salary, freelance rate, or total-compensation measure. BLS wage profile

• U.S. employment outlook: BLS projects 1,892,600 U.S. software-developer jobs in 2035, up 174,700 jobs from 2025, or 10% growth. This is a 2025–35 forecast rather than a measured 2026 hiring rate. BLS Occupational Outlook Handbook

• Global developer population: SlashData estimated 47.2 million developers worldwide at the beginning of 2025, including 36.5 million professional developers. These are modeled estimates, not an official global census. SlashData

• Alternative global forecast: IDC forecasts a worldwide developer population of 40.2 million in 2025 rising to 58.7 million in 2029. Its forecast has different population boundaries from SlashData’s professional-developer estimate. IDC forecast

• Education requirement: BLS’s 2025 Occupational Requirements Survey found that a bachelor’s degree was required for 75.8% of U.S. software-developer jobs. That is a hiring requirement, not the share of workers who have a degree. BLS Occupational Requirements Survey

• AI-tool use: In Stack Overflow’s 2025 survey, 84% of respondents were using or planning to use AI tools in development, and 50.6% of professional developers reported daily use. These are self-reported survey responses, not outcome measures. Stack Overflow AI survey

• AI verification: Sonar reported in January 2026 that 72% of developers who had tried AI used it daily, while 96% did not fully trust AI-generated code to be functionally correct. Its survey covered 1,149 adults in technology roles who wrote code or managed developers and had used AI at work during the prior year. Sonar

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How many software engineers and developers are there?

The best answer depends on what you mean by “software engineer.” In U.S. government data, the closest directly relevant occupation is Software Developers, SOC 15-1252. BLS estimated 1,717,800 jobs in that U.S. occupation in 2025. The BLS page title also covers quality assurance analysts and testers, so cite the software-developer subcategory rather than treating the page’s combined headline as a software-engineer total. BLS defines the occupation

Global figures are estimates built with different methods and boundaries. SlashData’s beginning-of-2025 model puts the worldwide developer population at 47.2 million, of whom 36.5 million are professional developers. That distinction matters: the broader figure is not a count of only paid software engineers. SlashData’s global developer model

IDC’s September 2025 forecast uses its own segmentation, including full-time, business, and non-compensated developers, and projects 40.2 million developers in 2025 and 58.7 million in 2029. Treat that as a forecast for IDC’s defined population, not as a replacement for BLS employment or SlashData’s professional-developer model. IDC’s 2025–29 forecast

A third result illustrates why averaging global totals would mislead your reader. JetBrains estimated 19.6 million professional developers worldwide in 2024 after revising its methodology. It did not establish that the global professional population suddenly fell relative to a different vendor’s later estimate; it published a differently constructed model. JetBrains Research

The practical rule is simple: cite BLS for a U.S. occupational question, cite a named model for a global developer-population question, and keep the model name in the sentence. No source here supports one definitive worldwide software engineer total.

Software engineer salary statistics

For a U.S. occupational pay benchmark, BLS reported a $135,980 median annual wage for software developers in May 2025. Median means half of workers in the occupation earned more and half earned less; it does not describe cash-plus-equity compensation at a specific company. BLS wage data

Indeed provides a different, posting-based view. Its salary page listed an average U.S. software-engineer base salary of $135,998, updated October 12, 2026, based on 38.3k salaries from job postings over the prior 36 months. The close numerical result does not make the measures interchangeable: Indeed reports a job-posting average, while BLS reports an occupational median. Indeed salary data

If you are preparing a compensation benchmark, preserve that difference in your slide or memo. Use the BLS median for an official occupation-level reference and label Indeed as a posting-based salary average. Neither figure is a global software engineer salary.

Software engineering employment growth and outlook

BLS projects 10% growth in U.S. software-developer employment from 2025 to 2035, taking the occupation from 1,717,800 to 1,892,600 jobs. The projected increase is 174,700 jobs. BLS employment projection

That forecast is useful for a long-horizon U.S. workforce discussion. It does not show where demand will be strongest, what every specialty will pay, or how many jobs will be created in a particular city this year. For global growth, IDC’s 2025–29 figure is the relevant source in this set, but it measures a broader worldwide developer population and remains a forecast. IDC’s worldwide developer forecast

The distinction is especially important when the word “software engineer” appears in a headline. BLS provides an occupation forecast; IDC provides a modeled population forecast. Both can inform planning, but they should never be presented as the same metric.

Education and demographics

A degree requirement and a developer’s attained education are separate statistics. BLS found that a bachelor’s degree was required for 75.8% of U.S. software-developer jobs in its 2025 Occupational Requirements Survey. That says what employers required for those jobs, not how every person in the occupation was educated. BLS requirements data

Among professional-developer respondents to the 2025 Stack Overflow survey, 45.9% reported a bachelor’s degree and 28.0% reported a master’s degree. Stack Overflow collected 49,009 responses in 177 countries from May 29 through June 23, 2025, primarily through its own channels and social media. Read these as a profile of a voluntary survey audience, not a global workforce census. Developer results and survey methodology

The same survey reported that 66% of professional developers were aged 25 to 44: 37.1% were 25–34 and 29.3% were 35–44. Stack Overflow’s age breakdown SlashData’s model offers a separate global trend: it estimated 18–24-year-olds represented 23% of the developer population in early 2025, while the 35–44 share reached 26%. SlashData

For gender data, geographic scope is non-negotiable. BCS reported 433,000 female IT specialists in the UK in 2025, representing 22% of UK IT specialists. It also reports women as 7% of UK IT engineers. Those are UK IT-specialist and occupation categories, not global software-engineer measures. BCS findings

Programming languages and AI adoption

Stack Overflow’s 2025 professional-developer respondents reported extensive development work in the prior year with JavaScript (68.8%), HTML/CSS (63.0%), SQL (61.3%), and Python (54.8%). These percentages describe survey-reported technology use, not language market share across all software engineers. Stack Overflow technology results

AI adoption is high in the same survey, but adoption is not proof of a productivity or quality outcome. Stack Overflow found that 84% of respondents were using or planning to use AI tools in development, and 50.6% of professional developers said they used them daily. Stack Overflow AI results

Sonar’s January 2026 survey adds a useful verification signal. Among eligible respondents who had used AI at work in the preceding year, 72% of developers who had tried AI said they used it daily; respondents estimated that AI accounted for 42% of committed code. Yet 96% did not fully trust AI-generated code to be functionally correct, and 48% said they always checked AI-assisted code before committing. These are survey-reported perceptions and estimates, not repository telemetry or a causal measurement of engineering productivity. Sonar’s verification-gap release

DORA’s 2025 research describes AI as an amplifier of an organization’s existing strengths and weaknesses. That is a better interpretation than assuming widespread use automatically means better code or fewer defects. DORA’s 2025 report

If AI-assisted development is changing how you plan review and release work, pair adoption data with a concrete validation practice. A guide to verification versus validation in software testing can help distinguish checking that software meets its specification from checking that it meets user needs.

Why software engineer statistics disagree

First, sources define the population differently. BLS tracks a U.S. occupation. Stack Overflow surveys people who choose to respond. SlashData, JetBrains, and IDC model global populations with different categories. A precise label is more useful than a superficially larger number.

Second, the figures come from different periods. BLS employment and wage data are 2025 observations. Stack Overflow’s 2025 fieldwork ran from late May through late June. IDC extends a forecast to 2029. Sonar published its survey findings in January 2026 about people who had used AI at work during the previous year. Stack Overflow methodology

Third, evidence types answer different questions. An occupational estimate can describe employment in a defined geography. A survey can describe respondents’ tools and views. A vendor model can estimate a population that no global statistical agency counts consistently. Use each figure for the question it actually answers.

What these statistics mean for your engineering and QA decisions

The numbers support a practical conclusion: software development remains a substantial, high-paying occupation, while AI tools have become part of many developers’ daily workflow. They do not establish that every organization will hire at the same rate, pay the same amount, or see the same quality effects from AI.

For your team, the immediate planning question is not whether AI adoption is high. It is whether your review, test, and release process can verify the additional code and change volume your developers produce. That is why the distinction between adoption and outcomes matters. Software testing metrics can give you a more direct way to evaluate quality and delivery performance inside your own organization.

No first-party Quash data covers software-engineer headcount, compensation, education, demographics, or AI adoption. Public workforce statistics can frame your external market context, but your staffing and quality decisions need evidence from your own hiring, delivery, and defect data.

Methodology and source notes

This report prioritizes source owners: BLS for U.S. occupation and requirements data, Stack Overflow for its survey, IDC and SlashData for their own models, Sonar for its survey release, DORA for its research, BCS for UK workforce findings, and Indeed for its salary-page methodology.

The article deliberately keeps observed occupation data, modeled estimates, survey responses, and forecasts separate. It does not reconstruct a worldwide total by adding or averaging vendor estimates. It also does not use remote-work or race-and-ethnicity statistics because this source set does not provide a suitable, current primary source for those claims.

Conclusion

Use software engineer statistics as a set of labeled tools, not a single scoreboard. BLS is the strongest choice for a U.S. software-developer job, wage, or outlook figure. Named models answer global developer-population questions, while Stack Overflow and Sonar help you describe developer-reported technology and AI use.

Choose the number that matches the decision in front of you, retain its geography and period, and state whether it is an observation, a model, a forecast, or a survey response.