The Developer Research Highlights
Our blog features expert insights on the latest trends and innovations in the tech industry. Each post presents a detailed report, offering in-depth analysis on key topics shaping the industry.
Top Feature Developers Use in Online Communities
Nearly one in four developers say forums are the most-used feature of their primary developer community website...
Quantum Confidence Varies Widely by Age
Nearly 8 in 10 developers believe quantum computing will be mainstream by 2030, but the level of conviction differs dramatically across age groups.
According to our Developer Marketing Survey Report 2025, 27% of developers strongly agree with that prediction, while 50% somewhat agree. But when we look at the data by age, a sharp generational divide emerges...
CSP Tools Lead in Cloud Monitoring Preferences
41% of cloud developers say they rely on monitoring and observability tools provided by their cloud service provider. That’s the top choice—outpacing custom-built solutions (26%), open-source tools (16%), and commercial third-party offerings (13%). In fact, less than 4% of developers report not using any observability tools in their typical cloud projects...
Data Isn’t Optional—Not in This Economy
Uncertainty is the defining feature of today’s economy. Markets are volatile. Budgets are under scrutiny. And teams are being asked to do more—with less. In moments like this, instinct alone isn’t enough...
Real-Time Analysis Leads North America's HPC Focus
Real-time analysis stands out as the leading use of high-performance computing (HPC) in North America, cited by 28% of developers in the region. While globally the margin between top HPC functions is narrow, this clear preference highlights a regional prioritization of speed, responsiveness, and live insights...
Demonstrating Value: The Key to Developer Program Retention
A vast majority of developers agree—if a developer relations program provides clear measures of the value gained from membership, it becomes significantly easier to secure continued approval from management...
Cloud-Native Security: The Key Advantage Developers Value Most
Security is a top priority for cloud developers—but what's the biggest advantage of cloud-native application security? According to the Evans Data Cloud Development Survey 24.1, integration with vendor security services leads the way, with 20.8% of developers identifying it as the greatest benefit.
Navigating the Barriers to Generative AI Adoption
Security, privacy, infrastructure, and data—when it comes to adopting generative AI, organizations face a range of challenges. According to Evans Data Corp.'s AI & Machine Learning Survey Report 24.2, developers identify preventing security or privacy breaches, risk of compromising data privacy laws, and acquiring adequate hardware infrastructure as the top impediments to using generative AI...
Developers Don't Fully Trust Generative AI—And That's a Problem.
Without trust, adoption stalls. According to our Global Development Survey Report 24.1, developers are most confident in generative AI's ability to provide up-to-date responses, likely due to frequent model updates. However, factual accuracy remains one of the least trusted aspects, with concerns about AI hallucinations and incorrect outputs limiting its reliability...
How Do Developers Want to Be Contacted?
Reaching developers effectively starts with understanding their communication preferences. According to the Developer Marketing Survey Report 2025, 66% of developers prefer a direct email when contacted about a product they have already evaluated. This remains the most popular method across all age groups...
AI in Cloud Development: Who’s Leading and Who’s Lagging?
63% of developers have already built cloud applications using AI or machine learning—but not all are moving at the same pace. Some are racing ahead, while others are holding back. The question is: why?
Low-Code Surge: Which Regions Are Leading?
Over 14 million developers worldwide have embraced low-code or no-code tools—but adoption varies significantly by region...
Trusting Data: Why Source and Accuracy Matter
In an era where information is just a search away, it's easy to assume that a quick query can provide all the answers. But not all data is created equal.
The accuracy, source, and context of data matter—especially in fast-moving industries like software development and AI. Relying on outdated, biased, or incomplete information can lead to misguided decisions, missed opportunities, and strategies built on shaky ground...
Bridging the Cloud Adoption Gap: Training, Integration, and Security Hurdles
What's holding developers back from adopting new cloud data platforms? It depends on their experience.
According to the latest Evans Data Corp. Cloud Development Survey Report, the greatest challenges vary significantly between developers who already use cloud data platforms and those who don't...
AI in Development: How Usage Varies by Developer Segment
Developers across different segments are integrating AI into their projects in distinct ways, each approach shaped by the needs of their target customers. Enterprise developers focus on data management and model creation, independent software vendors (ISVs) are embedding AI-powered features into their applications, and systems integrators (SIs) and value-added resellers (VARs) are leveraging AI-based tools to enhance their workflows. These patterns align closely with the core business needs of each segment...
Web3: Venturing into a New Digital Frontier
68% of developers are actively developing or planning to build Web3 applications within the next year.
This strong level of developer interest underscores the momentum Web3 has gained—despite ongoing challenges around security, usability, and regulation. While some still see Web3 as a niche or experimental space, the reality is that developers are diving in, eager to explore its potential...
Cloud AI Adoption Soars: 9.7 Million Developers Deploy AI in the Cloud
The Cloud is the leading environment for AI and machine learning development, with nearly 9.7 million developers worldwide running their AI workloads in cloud infrastructure. This makes cloud computing the top choice for AI deployment, ahead of on-premises servers, data centers, and edge computing...
Developer Views on Big Tech and Government
A significant 84% of developers believe that "big tech" coordinates with the government behind the scenes, with younger developers showing a particularly strong inclination. Among those aged 30 and under, 53.8% strongly agree with this view, according to the latest Developer Marketing Survey Report 2024...
Disclosure Dilemma: The Rising Role of AI in Code
50% of developers who use GenAI do so for their coding processes, signaling a major shift in how software is being developed. Yet, when it comes to disclosing AI tool use in upstream code contributions, 88% of developers agree that disclosure is necessary, with 44.1% strongly in favor...
The Rise of Virtual Environment Collaboration in Development
A recent finding from our Developer Marketing Survey Report reveals that 15% of developers are already using virtual environments for collaboration on development projects. While it may seem like a futuristic trend, the combination of enhanced augmented reality (AR) and virtual reality (VR) hardware, along with cloud computing advancements, is driving this shift...
Challenges of Legacy Systems in Cloud Development
Despite advancements in cloud technology, 64% of organizations are still deploying or maintaining legacy systems in their development efforts...
KPIs That Matter Most in Developer Relations
Time is money—especially when it comes to developer relations programs. In our recent Developer Relations Programs Survey, 38% of developers identify "time saved" as the most important Key Performance Indicator (KPI) for their program memberships...
GenAI Use in Development Lifecycle
Generative AI is revolutionizing software development, with 54% of developers using it for planning and design. Our latest Global Development Survey Report reveals insights into how GenAI is being integrated across the software development lifecycle...
Pressing Needs for AI Development Work
In the latest Evans Data Corporation AI & Machine Learning Survey Report 24.1, a critical insight emerges: 36% of developers identify code examples for general AI domains as their most pressing need in AI development work...
