Top 116 Software Development Statistics, Data & Trends in 2026

Key Takeaways

• AI is redefining software development in 2026, with 84% of developers using or planning to use AI tools and an estimated 41% of code now AI-generated.
• Software development remains a major growth engine, with GitHub exceeding 180 million developers and global software spending projected to reach $1.44 trillion in 2026.
• Developer trends are rapidly evolving across jobs, salaries, cloud computing, DevOps, cybersecurity and remote work, making AI skills, security and code quality increasingly critical.

---

Software development in 2026 shows how AI, cloud computing, cybersecurity, and changing workforce demands are reshaping the technology industry. These 116 software development statistics reveal that 84% of developers use or plan to use AI tools, while global software spending is projected to reach $1.44 trillion as organizations accelerate digital and AI investment.

Software development in 2026 is being reshaped by artificial intelligence, changing programming language preferences, cloud infrastructure growth, cybersecurity risks, evolving hiring patterns, and new approaches to software delivery. AI adoption has become particularly widespread, with 84% of developers now using or planning to use AI tools, while AI is estimated to generate 41% of code produced globally. At the same time, developer trust in AI-generated output has fallen to just 29%, highlighting a growing divide between adoption and confidence.

The broader development ecosystem is expanding rapidly. GitHub now hosts more than 180 million developers worldwide, gained 36 million new developers in 2025 alone, and recorded almost 1 billion commits during the year. TypeScript has overtaken Python and JavaScript by contributor count on GitHub, while public repositories using large language model SDKs have surged beyond 1.1 million. Meanwhile, demand for AI expertise continues to reshape employment, with AI-related skills appearing in 42% of software job descriptions and machine learning engineer openings rising significantly above pre-pandemic levels.

These changes are happening alongside major shifts in developer salaries, remote and hybrid work, DevOps performance, open-source security, cloud computing, workplace diversity, and developer wellbeing. Global software spending is projected to reach $1.44 trillion in 2026, while worldwide IT spending is forecast to exceed $6.3 trillion.

This guide brings together 116 software development statistics, data points, and trends for 2026 to provide a comprehensive view of where the industry stands and where it is heading. Whether you are a software developer, engineering leader, technology recruiter, startup founder, or business decision-maker, these statistics offer valuable insight into the technologies, workforce trends, risks, and investment patterns shaping the future of software development.

Before we proceed further, we would like to introduce ourselves and what we do.

About Us

Gil Product Studio is a digital product development studio that helps businesses turn ideas into practical, scalable digital products. We specialize in designing and building web applications, SaaS platforms, AI-powered solutions, internal business tools, and custom software tailored to real-world business needs.

Our approach combines product strategy, UX/UI design, software development, AI integration, and automation to help startups and established businesses launch faster, improve operations, and create better digital experiences.

From early-stage concepts and MVPs to production-ready platforms, Gil Product Studio works as a hands-on technology partner focused on building fast, simple, reliable, and commercially viable products.

Contact Gil Product Studio to discuss your next digital product, SaaS platform, AI solution, or custom software project.

Top 116 Software Development Statistics, Data & Trends in 2026

🤖 AI Adoption & Developer Sentiment

1. 84% of developers worldwide now use or plan to use AI tools in their workflow, up sharply from 76% just one year earlier, confirming AI assistance has become the industry default rather than the exception.
2. Positive sentiment toward AI coding tools actually fell to about 60% in 2025, down from more than 70% in both 2023 and 2024, showing that rising adoption and rising satisfaction are no longer moving together.
3. Only 29% of developers say they trust AI-generated output to be accurate, a drop from 40% the previous year, underscoring a widening gap between how much AI is used and how much it is believed.
4. Nearly half of developers (46%) say they actively distrust AI accuracy versus 33% who trust it, while a mere 3% report “highly” trusting AI-generated code.
5. 66% of developers report that AI-generated code often looks correct but contains subtle errors, which is why debugging AI output frequently takes longer than writing the code from scratch.
6. 44% of developers now use AI tools to help them learn to code, up from 37% a year prior, signaling AI’s growing role in technical education, not just production work.
7. More than half of developers (52%) either avoid AI agents entirely or use only simple assistant modes, and 38% say they have no plans to adopt autonomous AI agents at all.
8. 85% of developers say they regularly use AI tools for coding and development tasks, and 62% rely on at least one dedicated AI coding assistant, agent, or AI-powered code editor.
9. A meaningful minority — 15% of developers — have still not adopted any AI tool into their daily workflow, showing holdout skepticism persists even at peak hype.
10. Among AI coding models, Claude Sonnet earns the highest developer admiration score (61.2%), even though OpenAI’s GPT models remain the most widely used (67.5%), showing usage and preference don’t always align.

💻 Programming Languages & the GitHub Ecosystem

11. TypeScript overtook both Python and JavaScript in August 2025 to become the most-used programming language on GitHub by contributor count — the biggest language shift on the platform in over a decade.
12. TypeScript’s contributor base grew 66.63% year-over-year, adding more than one million new contributors in a single year.
13. Python’s contributor base grew 48.78% year-over-year, adding roughly 850,000 developers and cementing its dominance in AI and data science workloads.
14. JavaScript added around 427,000 new contributors, growing 24.79% year-over-year — solid growth, but the slowest of the three leading languages.
15. GitHub now hosts more than 180 million developers globally, having crossed the 100-million mark in early 2023.
16. GitHub gained 36 million new developers in 2025 alone, a pace of more than one new developer joining every second, on average.
17. Nearly 80% of new GitHub repositories are built using just six languages — Python, JavaScript, TypeScript, Java, C++, and C# — showing the ecosystem is consolidating around a smaller core toolkit even as it grows.
18. Developers pushed almost 1 billion commits to GitHub in 2025, a 25% increase year-over-year.
19. Monthly pull request merges averaged 43.2 million in 2025, up 23% from the year before.
20. India overtook the United States in total open-source contributor count for the first time in 2025, marking a historic shift in the geography of open-source development.
21. India added over 5 million new GitHub developers in 2025 — more than 14% of all new global signups — and is projected to reach 57.5 million developers by 2030.
22. Public repositories using large language model SDKs surged past 1.1 million, up 178% year-over-year, with nearly 694,000 new such projects launched in a single 12-month period.
23. Nearly 80% of new GitHub developers adopted GitHub Copilot within their very first week on the platform, suggesting AI assistance is now treated as a baseline tool rather than an optional add-on.
24. Docker usage jumped 17 percentage points year-over-year to 71% among developers, the single largest jump of any cloud development or infrastructure technology tracked.
25. PostgreSQL has ranked the most-desired database technology for three consecutive years, with 66% of current users wanting to keep using it next year.
26. GitHub remains the most popular code documentation and collaboration tool at 81% developer usage, well ahead of Jira (46%) and GitLab (36%).

⚙️ AI Code Generation, Quality & Productivity

27. AI now writes an estimated 41% of all code produced globally, reflecting just how deeply generative coding tools have embedded themselves into everyday development.
28. Among developers who use GitHub Copilot, an average of 46% of their code is AI-generated, with Java developers reaching as high as 61%.
29. Gartner projects that 60% of all newly written code worldwide will be AI-generated by the end of 2026.
30. Google reported that 75% of new code committed internally was AI-generated and engineer-approved as of April 2026, one of the highest disclosed rates among major tech employers.
31. Microsoft has said that roughly 20–30% of the code in some of its coding projects is now AI-generated, a figure it disclosed publicly ahead of a 2025 engineering-focused layoff round.
32. In a controlled Microsoft Research experiment, developers using Copilot completed a standardized coding task in an average of 71 minutes versus 161 minutes without it — a 55.8% reduction in task completion time.
33. In sharp contrast, a 2025 METR randomized controlled trial found experienced open-source developers were actually 19% slower when using AI tools on mature codebases they already knew well, despite expecting a 24% speed-up beforehand.
34. Developers keep roughly 88% of GitHub Copilot’s suggested code in their final submissions, a strong signal of practical usefulness despite trust concerns.
35. Developers using AI coding tools save an average of about 3.6 hours per week, according to aggregated industry productivity research.
36. 22% of all merged code is now AI-authored, though AI-co-authored pull requests show roughly 1.7 times more reported issues than fully human-written ones.
37. 2026 telemetry across 22,000 developers found median pull request review time up 441% year-over-year, even as heavy AI users produced code that was 4 to 10 times more durable than non-AI-assisted code.
38. GitHub Copilot reached 4.7 million paid subscribers by January 2026, up about 75% year-over-year, and is now deployed at roughly 90% of Fortune 100 companies.

💰 Software Developer Salaries: A Global Comparison

39. The average US software engineer salary sits at approximately $147,524 per year in 2026, according to ZipRecruiter compensation data.
40. The US Bureau of Labor Statistics reports a median software developer annual wage of $133,080, with the top 10% of earners making more than $211,450.
41. US software developer pay spans a wide percentile range — from $79,850 at the 10th percentile to $211,450 at the 90th percentile — showing just how much experience and location affect earnings.
42. Canadian software developers earn roughly $117,000 per year on average, noticeably below comparable US salaries despite similar cost-of-living pressures in major tech hubs.
43. Switzerland is Europe’s highest-paying country for software engineers, with a median salary of $148,289 — nearly double the continent-wide average.
44. Within Canada, software engineers in Vancouver ($120,667) out-earn their counterparts in Toronto ($103,455), highlighting significant intra-country pay variation.
45. The Europe-wide senior software engineer median stands at €88,000, based on 2026 compensation survey data spanning multiple countries.
46. Eastern European developer salaries average between $28,800 and $42,000 per year, making the region one of the most cost-efficient hiring markets globally.
47. Western European developer salaries range from $73,000 to $120,000 per year, positioning the region firmly between Eastern Europe and North America.
48. Bengaluru leads Indian developer compensation with a $40,359 median salary, notably above India’s $33,768 national median.
49. AI and machine learning engineers earned average compensation above $200,000 in 2025, significantly outpacing general software developer pay in the same markets.
50. Senior AI/ML engineers earn $200,000–$312,000 in the United States, compared to $55,000–$92,000 in Eastern Europe and just $30,000–$60,000 in India for equivalent seniority.
51. Robert Half’s 2026 Salary Guide pegs the US software engineer range at $109,250–$175,500, versus $134,000–$193,250 for AI/ML engineers — a roughly $25,000 pay-floor premium for AI specialization.
52. At the senior level, AI-focused engineers earn 18.7% more than their non-AI peers, according to Q3 2025 Levels.fyi compensation data.

📉 Employment, Layoffs & the Hiring Market

53. US tech job postings remain roughly 36% below their February 2020 pre-pandemic baseline, even as the broader economy has recovered.
54. General software engineering postings specifically are down 49% from their pre-pandemic baseline — a steeper decline than the tech sector overall.
55. Machine learning engineer job openings are up 59% over the same 2020–2025 period, and AI/ML postings specifically rose 85% year-over-year heading into 2026.
56. AI-related skills now appear in 42% of all software job descriptions, up dramatically from just 8% in 2022.
57. LinkedIn’s Jobs on the Rise 2026 report names AI engineer the fastest-growing job title in the US for a second consecutive year.
58. Job postings mentioning agentic AI specifically surged 10,854% year-over-year, according to Stanford HAI’s 2026 labor market analysis.
59. Crunchbase counted approximately 127,000 US tech layoffs across 2025, continuing a multi-year pattern of workforce reductions even amid AI-driven hiring.
60. Global tech layoffs totaled 122,549 across 257 companies in 2025 — about 20% below 2024’s total of more than 152,000.
61. Tech layoffs hit 52,050 in Q1 2026 alone, led by major cuts at Oracle, Amazon, Meta, and Dell.
62. 44% of companies cite AI as a factor in workforce restructuring, but only 9% say AI fully replaced roles outright — 45% say AI has only partially reduced the need for new hires.
63. Software engineering job openings reached 67,000 in Q1 2026, the highest quarterly count since early 2023, even as 143,000 tech workers were laid off in the very same period.
64. Median time-to-hire for Bay Area engineering roles stretched from 38 days to 67 days within a single year, reflecting more selective, drawn-out hiring processes.
65. The US Bureau of Labor Statistics projects software developer employment will grow 15% from 2024 to 2034, adding an estimated 267,700 new jobs over the decade.

🏠 Remote & Hybrid Work

66. The US telework rate stood at 22.1% in August 2025, with roughly 34.6 million Americans working remotely that month.
67. Among employees whose jobs can be performed remotely, nearly 80% now work either hybrid (52%) or fully remote (26%) as of early 2025.
68. Fully in-office job postings jumped from 65% in Q4 2025 to 87% in Q2 2026, according to Robert Half’s proprietary job-posting analysis — a sharp swing back toward on-site work.
69. Even amid that swing, 37% of tech job postings in Q4 2025 still offered some flexibility — 24% hybrid and 13% fully remote.
70. 88% of employers now offer at least some form of hybrid work option for technology roles, despite headline-grabbing return-to-office mandates.
71. Hybrid work arrangements reduce voluntary employee turnover by roughly one-third compared to fully in-office roles, according to peer-reviewed research published in Nature.
72. 65% of Gen Z and Millennial employees say they would leave a job that eliminated remote work flexibility entirely.
73. S&P 500 companies that imposed strict return-to-office mandates saw employee turnover rise 14% and time-to-fill open roles increase 23%, with no measurable improvement in financial performance.
74. 83% of global CEOs anticipate a full return to in-office work by 2027, reflecting continued leadership appetite for on-site presence despite employee resistance.
75. Remote-capable US employees are now split roughly 51% hybrid, 28% fully remote, and 21% fully on-site, according to 2025 Gallup workplace data.

☁️ Cloud Computing & Infrastructure

76. AWS remains the clear global cloud leader, holding between roughly 28% and 31% of infrastructure market share heading into 2026, depending on the measurement methodology used.
77. Microsoft Azure holds an estimated 21–25% global share and Google Cloud 11–14%, with the “Big Three” hyperscalers together commanding roughly 67–68% of all enterprise cloud spending.
78. Global cloud infrastructure spending reached $129 billion in Q1 2026 alone, up 35% year-over-year — the ninth consecutive quarter of accelerating growth.
79. Google Cloud’s revenue grew 63% year-over-year in early 2026, comfortably outpacing Azure’s 40% growth and AWS’s 19% growth over the same period.
80. AI workloads now account for approximately 19% of total cloud spending in 2026, more than double the 8% share recorded in 2023.
81. Between 87% and 94% of enterprises now operate a multi-cloud or hybrid-cloud strategy rather than relying on a single provider.
82. The global cloud computing market is valued at approximately $918 billion in 2026 and is on track to cross the $1 trillion mark.
83. Cloud waste rose for the first time in five years, reaching 29% of IaaS/PaaS budgets in 2026 — driven largely by unpredictable AI workload costs, per Flexera’s State of the Cloud research.
84. The five largest hyperscalers committed an estimated $600–$700 billion in 2026 capital expenditure, a 36% year-over-year increase, with roughly 75% (about $450 billion) earmarked directly for AI infrastructure.

🔐 Cybersecurity & Software Supply Chain Risk

85. Malicious open-source packages surged 73–75% in 2025 alone, driven largely by npm-registry compromises and hijacked maintainer accounts, according to both ReversingLabs and Sonatype research.
86. Sonatype has now cataloged more than 1.233 million cumulative malicious packages across npm, PyPI, Maven, NuGet, and Hugging Face as of 2025.
87. Over 99% of detected open-source malware specifically targets the npm registry, making it by far the highest-risk package ecosystem to monitor.
88. 65% of organizations experienced at least one software supply chain attack in the past year, according to the 2026 Open Source Security and Risk Analysis (OSSRA) report.
89. Of confirmed supply chain attacks, 66% used purpose-built malicious packages such as typosquats, while the remaining 34% hijacked previously legitimate, trusted packages.
90. 68% of audited codebases contained open-source license conflicts in 2026, up from 56% the year prior — the largest single-year jump recorded in the OSSRA report’s history.
91. The average number of vulnerabilities found per codebase more than doubled in a single year, climbing from 280 to 581.
92. 97% of organizations now use open-source AI models in development, yet 17% of open-source components enter production codebases invisibly, outside standard package-manager scanning.
93. 80% of AI-suggested software dependencies contain some form of security or licensing risk, according to Endor Labs research.
94. Confirmed open-source supply chain attacks accelerated roughly eightfold — from about 6 incidents across six months in late 2025 to 50 incidents over the following six and a half months in 2026.

🔄 DevOps & Software Delivery Performance (DORA)

95. Only 16.2–16.7% of organizations currently achieve “elite” on-demand deployment frequency (multiple deploys per day), the top DORA performance tier.
96. Nearly a quarter of teams (23.9%) still deploy less than once per month, pointing to persistent pipeline inefficiencies industry-wide.
97. Just 9.4% of teams achieve lead times for code changes under one hour, while 43.5% still need more than a full week from commit to production.
98. Only 8.5% of teams hit the elite change-failure-rate benchmark of 0–2%, while 39.5% experience failure rates above 16% — a stability gap AI-driven speed increases risk masking.
99. AI-assisted engineering teams report 21% more individual tasks completed and 98% more pull requests merged per developer, according to 2025–2026 DORA and Faros telemetry.
100. Despite those individual gains, 2026 telemetry spanning 22,000 developers shows median pull-request review time up 441% year-over-year, with 31% more pull requests now merging with no review at all.
101. Epics completed per developer are up 66.2% year-over-year in 2026 data, showing AI-driven throughput gains are now measurable at the organizational level, not just the individual one.
102. Median pull request size is up 51.3% year-over-year, a trend directly linked to rising reviewer cognitive load and longer review cycles.

👩‍💻 Diversity & Women in Tech

103. Women hold approximately 27–28% of overall global technology jobs as of 2025–2026, a figure that has moved only modestly over the past decade.
104. Only about 20–21% of US software developers specifically are women, according to Bureau of Labor Statistics workforce data — a notably lower share than tech roles overall.
105. Women hold just 26% of global AI-related jobs and only 18% of machine learning engineer positions specifically, underscoring a persistent specialization gap within an already imbalanced field.

😓 Developer Wellbeing & Burnout

106. More than 80% of developers report having experienced burnout at some point in their career, according to Haystack Analytics research widely cited across the industry.
107. Nearly half of burned-out developers say they have seriously considered leaving the software industry altogether.
108. Technology ranks among the most burned-out sectors globally, at 58% moderate-to-extreme burnout — trailing only retail (62%) and healthcare (61%).
109. 77% of employees say AI tools have added to their overall workload rather than reducing it, complicating the narrative that AI straightforwardly improves work-life balance.

💵 Market Size & IT Spending

110. Worldwide IT spending is forecast to reach between $6.31 trillion and $6.37 trillion in 2026, representing year-over-year growth of roughly 13.5–14.2%.
111. Global software spending specifically is projected at $1.44 trillion in 2026, growing 15.1% — the largest single-year dollar expansion the software category has ever recorded.
112. Generative AI model spending is projected to grow 80.8% in 2026 alone, far outpacing growth in traditional software categories.
113. Data center systems spending is set to grow 55.8% in 2026 — the fastest-growing IT segment — driven almost entirely by AI infrastructure build-out.
114. IT services remains the single largest overall spending category, forecast to surpass $1.87 trillion in 2026.
115. 95% of companies report having used low-code or no-code tools for software development within the past year.
116. 84% of tech leaders say AI will not replace low-code and no-code platforms outright, and 76% believe AI will instead make those existing tools more efficient.

Conclusion

The top 116 software development statistics for 2026 reveal an industry that is growing rapidly while undergoing one of its most significant technological transformations. Artificial intelligence has moved firmly into mainstream development workflows, with 84% of developers using or planning to use AI tools and an estimated 41% of code globally now being AI-generated. Yet adoption is advancing faster than confidence: only 29% of developers trust AI-generated output to be accurate, while 66% report encountering AI-generated code that appears correct but contains subtle errors.

The software development ecosystem itself continues to expand. GitHub now hosts more than 180 million developers, nearly 1 billion commits were pushed in 2025, and TypeScript has overtaken Python and JavaScript by contributor count on the platform. AI is also reshaping the employment market, with AI-related skills appearing in 42% of software job descriptions and machine learning engineering opportunities growing even as general software engineering postings remain below pre-pandemic levels.

At the infrastructure level, cloud computing, open-source software, DevOps, and AI infrastructure are becoming increasingly interconnected. Global cloud infrastructure spending reached $129 billion in the first quarter of 2026, while AI workloads now represent approximately 19% of cloud spending. At the same time, software supply chain security is becoming a greater concern, with malicious open-source packages increasing by more than 70% in 2025 and 65% of organizations reporting at least one software supply chain attack during the previous year.

Ultimately, the software development trends of 2026 point toward an industry that is not simply being replaced by AI, but reorganized around it. Developers, engineering teams, employers, and technology companies will increasingly need to combine AI-assisted productivity with human oversight, cybersecurity, code quality, cloud cost management, and continuously evolving technical skills.

With worldwide IT spending forecast to exceed $6.3 trillion and global software spending projected to reach $1.44 trillion in 2026, software development remains a critical driver of the global digital economy. The organizations and developers best positioned for the years ahead will be those that can take advantage of faster development technologies while maintaining the reliability, security, skills, and engineering discipline required to turn greater coding speed into sustainable business value.

If you are looking for a top-class product and QA software studio, then book a free consultation slot here.

If you find this article useful, why not share it with your friends and business partners, and also leave a nice comment below?

We, at the Gil Product Studio Research Team, strive to bring the latest and most meaningful data, guides, and statistics to your doorstep.

To get access to top-quality guides, click over to our Blog.

People also ask

What are the biggest software development trends in 2026?

AI-assisted coding, cloud computing, cybersecurity, DevOps automation and changing developer workforce patterns are major software development trends in 2026. AI adoption is especially significant, with 84% of developers using or planning to use AI tools.

How many developers use AI tools in 2026?

About 84% of developers worldwide use or plan to use AI tools in their workflow. Another dataset shows 85% regularly use AI for coding and development tasks, demonstrating how quickly AI-assisted software development has become mainstream.

What percentage of code is AI-generated in 2026?

AI is estimated to generate approximately 41% of code produced globally. Gartner also projects that 60% of newly written code worldwide will be AI-generated by the end of 2026.

Do software developers trust AI-generated code?

Developer trust remains relatively low. Only 29% of developers say they trust AI-generated output to be accurate, while 46% actively distrust its accuracy and just 3% report highly trusting AI-generated code.

What are the biggest problems with AI-generated code?

About 66% of developers report that AI-generated code can appear correct while containing subtle errors. AI-generated dependencies can also introduce security and licensing risks, making human review and software testing important.

Does AI make software developers more productive?

The results are mixed. One Microsoft Research experiment found Copilot users completed a coding task 55.8% faster, while a METR study found experienced open-source developers were 19% slower with AI on familiar, mature codebases.

How much time do AI coding tools save developers?

Developers using AI coding tools save an average of approximately 3.6 hours per week, according to aggregated productivity research cited in the statistics.

What is the most popular programming language on GitHub in 2026?

TypeScript overtook Python and JavaScript in August 2025 to become GitHub’s most-used programming language by contributor count. Its contributor base grew 66.63% year over year.

How fast is Python growing among software developers?

Python’s GitHub contributor base increased 48.78% year over year, adding approximately 850,000 developers. Its continued growth reflects its important role in AI and data science development.

How many developers are on GitHub in 2026?

GitHub hosts more than 180 million developers globally. The platform gained 36 million new developers during 2025 alone, illustrating the continued expansion of the global software development community.

How many commits are made on GitHub?

Developers pushed almost 1 billion commits to GitHub during 2025, representing a 25% year-over-year increase. Monthly pull request merges also averaged 43.2 million, up 23%.

Which country has the most open-source contributors?

India overtook the United States in total open-source contributor count in 2025. India added more than 5 million GitHub developers during the year and is projected to reach 57.5 million developers by 2030.

How popular is GitHub Copilot among developers?

GitHub Copilot reached 4.7 million paid subscribers by January 2026, approximately 75% higher year over year. It is also deployed at roughly 90% of Fortune 100 companies.

What is the average software developer salary in the US in 2026?

The US Bureau of Labor Statistics reports a median software developer wage of $133,080 annually. Separate ZipRecruiter compensation data places the average US software engineer salary at approximately $147,524.

How much do senior AI engineers earn in 2026?

Senior AI and machine learning engineers earn approximately $200,000 to $312,000 in the United States, compared with $55,000–$92,000 in Eastern Europe and $30,000–$60,000 in India.

Do AI engineers earn more than software engineers?

Yes. Robert Half’s 2026 Salary Guide lists US AI/ML engineers at $134,000–$193,250 compared with $109,250–$175,500 for software engineers. Senior AI-focused engineers also earn an estimated 18.7% more than non-AI peers.

Are software developer jobs declining in 2026?

The market is mixed. General US software engineering postings remain 49% below their pre-pandemic baseline, while software engineering openings reached 67,000 in Q1 2026, their highest quarterly level since early 2023.

Are AI software development jobs growing?

Yes. Machine learning engineer openings increased 59% compared with the 2020 baseline, while AI/ML job postings rose 85% year over year heading into 2026. AI-related skills now appear in 42% of software job descriptions.

Will software developer jobs grow in the future?

The US Bureau of Labor Statistics projects software developer employment to grow 15% between 2024 and 2034, creating an estimated 267,700 additional jobs over the decade.

How common is remote work for software developers in 2026?

Flexible technology work remains widespread. In Q4 2025, 37% of tech job postings offered flexibility, including 24% hybrid and 13% fully remote positions. About 88% of employers offer some form of hybrid option for technology roles.

Does hybrid work reduce employee turnover?

Yes. Research cited in the statistics indicates hybrid working arrangements can reduce voluntary employee turnover by roughly one-third compared with fully in-office roles.

Which company leads the cloud computing market in 2026?

AWS remains the global cloud infrastructure leader, holding approximately 28% to 31% market share heading into 2026. Microsoft Azure holds an estimated 21%–25%, while Google Cloud accounts for approximately 11%–14%.

How large is the cloud computing market in 2026?

The global cloud computing market is valued at approximately $918 billion in 2026 and is on track to exceed $1 trillion. Cloud infrastructure spending alone reached $129 billion in Q1 2026.

How much cloud spending goes toward AI workloads?

AI workloads account for approximately 19% of total cloud spending in 2026, more than double the 8% share recorded in 2023. This reflects the rapid expansion of AI infrastructure requirements.

How serious are open-source software supply chain attacks?

Software supply chain risk is substantial. About 65% of organizations experienced at least one software supply chain attack during the previous year, while malicious open-source packages increased approximately 73%–75% in 2025.

How many malicious open-source packages have been discovered?

Sonatype cataloged more than 1.233 million cumulative malicious packages across ecosystems including npm, PyPI, Maven, NuGet and Hugging Face as of 2025.

How often do software development teams deploy code?

Only around 16.2%–16.7% of organizations achieve the elite DORA benchmark of multiple deployments per day. Meanwhile, 23.9% of teams still deploy software less than once per month.

How is AI affecting software code reviews?

AI is increasing development throughput but creating review pressure. Median pull request review time increased 441% year over year in 2026 telemetry, while median pull request size grew 51.3%.

How large is global software spending in 2026?

Global software spending is projected to reach approximately $1.44 trillion in 2026, representing 15.1% growth. Worldwide IT spending overall is forecast to exceed $6.3 trillion.

What do software development statistics reveal about the future of programming?

The 2026 data suggests software development is becoming increasingly AI-assisted, cloud-based and security-focused. Developers will need to combine AI productivity with human code review, cybersecurity, technical expertise and strong software engineering practices.

Sources

Stack Overflow LinearB DevOps GitHub It’s FOSS Forbes Qubit Labs CommandLinux UVIK ITSourceCode Gigson PIN Index The Pragmatic Engineer SQ Magazine KORE1 Jobs by Culture Rockstar Developer University Vena Solutions Robert Half WorkTime FlexOS Carly Holori Quantumrun Axis Intelligence BusinessStats Carahsoft ReversingLabs Black Duck Sonatype AppSec Santa Help Net Security StepSecurity JetBrains GlobeNewswire DX Faros AI Exceeds AI InfoQ DORA Exploding Topics WomenTech Network Spacelift Metana Change in Content Panto 13 Labs VoxBooster Campus Technology Gartner SaaStr DevX Metaintro