Skills, jobs & learning trends
2025–2026

Analyzes skill trends across six industries — Energy, Financial Services, Healthcare & Pharma, Professional Services, Retail & Consumer, and Technology. Learners are layering AI skills like NLP onto foundations such as SQL; Critical Thinking and governance skills (Responsible AI, Information Privacy) are among the fastest-growing. Professional Certificate enrollments rose 91% on average, and GenAI enrollments among women climbed from 36% to 41%.

Analyzes skill proficiency data from 148 million learners across 100+ countries. Identifies AI, data science, and cloud as the fastest-growing skill clusters. Highlights widening gaps between employer demand and workforce readiness.

Bi-annual assessment of emerging technologies, tools, platforms, and techniques across four adoption rings: Adopt, Trial, Assess, Hold. Highly respected by engineering teams for strategic technology decisions.

Annual report on developer activity across 420 million repositories. Tracks growth in AI-assisted coding, Python's dominance, and the surge in generative AI projects. Essential reading for anyone learning software development.

Survey of 65,000+ developers covering most used languages, tools, AI adoption, salary data, and learning preferences. Rust, TypeScript, and Python top the charts. 76% of respondents are already using or planning to use AI coding tools.

Comprehensive annual measure of AI progress across research, industry adoption, policy, and education. Tracks the explosive growth of AI job postings, AI enrollment in universities, and the global race for AI talent.

Projects that 85 million jobs may be displaced while 97 million new roles emerge by 2025. Identifies analytical thinking, creativity, and technology literacy as the most valued skills. A foundational reference for understanding workforce transformation.

Surveys 1,500+ L&D professionals and 600 learners on workplace learning trends. AI skills, leadership development, and internal mobility top employer priorities. Highlights how upskilling has become the primary talent strategy.

Labor market intelligence on the fastest-growing job titles, skill adjacencies, and salary data across 130 million job postings. Shows which credentials and skills have the highest wage premium in the current market.

Annual survey of 122,416 employed adults across 160 countries. Only 23% of employees are engaged at work. Identifies manager quality, purpose, and development opportunities as the top drivers of engagement — directly relevant to upskilling ROI.

Estimates generative AI could add $2.6–4.4 trillion annually to the global economy. Identifies knowledge work as the most exposed sector. Critical for understanding which roles and skills are being transformed fastest.

Tracks learner preferences, credential demand, and employer attitudes toward online education. Finds that 9 in 10 executives consider online credentials equal to or better than traditional degrees for entry-level tech roles.

Annual scan of emerging technologies and trends in higher education. Covers AI in the classroom, microcredentials, and the shift toward competency-based learning. Essential for understanding where formal education is heading.

Market intelligence on the $8.3 trillion global education market, including investment flows, provider growth, and emerging business models. Tracks Coursera, Udemy, Pluralsight, and 300+ other providers.

Surveys 23,000 developers and 3,000+ hiring managers on the skills companies prioritize. Python, SQL, and problem-solving top the list. Reveals the gap between what bootcamps teach and what employers actually test for.

Benchmarks compensation for 50+ tech roles across cloud, security, data, and software engineering. Identifies cloud certifications (AWS, Azure) as the highest ROI credentials for salary growth. Based on data from 16,000+ tech professionals.

Maps global AI talent distribution, salary benchmarks, and the most in-demand AI skill combinations. Reveals that AI engineers with domain expertise (healthcare, finance, climate) command 40–60% salary premiums over generalist AI roles.

Compensation survey of 3,000+ data and AI practitioners. Machine learning engineers and AI researchers command the highest premiums. Shows direct correlation between learning investment and salary outcomes.