New Trends in Custom Software and Developements
Executive summary
Custom software development in 2025 is shaped by converging forces: widespread AI/ML integration, cloud-native and serverless architectures, and rapid adoption of low-code/no-code — all foregrounded by stronger security and sustainability demands (see AI, cloud-native, low-code references) [1][2][3]. Industry commentary also highlights claims about huge adoption rates (e.g., IDC’s 90% cloud‑native new apps and Bloomberg’s 70% low‑code share) that appear across vendor and analyst summaries and should be treated as influential projections rather than settled facts [2][3].
1. AI is the headline — practical, pervasive, and uneven
Multiple pieces identify AI and machine learning as the defining force in custom software: embedding AI modules to automate workflows, provide analytics, and personalize interfaces is now standard advice for vendors and consultancies [1][4]. Sources say AI will speed development (e.g., automated coding, testing) and enable “automation of complex tasks” from fraud detection to clinical image analysis [2][5]. At the same time, the articles are vendor‑oriented and emphasize opportunity; available sources do not quantify uniform effectiveness or adoption across sectors beyond the cited projections [1][2].
2. Cloud‑native and serverless: the infrastructure pivot
The trend toward cloud‑native design, microservices, and serverless computing recurs across reporting: IDC is cited claiming that by 2025 “90% of all new apps will be cloud‑native,” while other writers stress microservices and edge computing as enablers of scalability and lower latency [2][6]. These changes shift custom projects away from monoliths toward modular, observable systems — a technical and commercial reorientation vendors are selling [2][1].
3. Low‑code/no‑code: democratization — and governance headaches
Analysts and blogs point to rapid growth of low‑code/no‑code (LCNC) platforms, with a Bloomberg figure saying LCNC will be used for as many as 70% of new business apps by 2025 and other predictions of large market growth [3][6]. Proponents argue LCNC shortens time‑to‑market and broadens who can build software; critics implied by the sources warn that governance, security, and centralized policy will become necessary as citizen development rises [3][6].
4. Security and DevSecOps: not optional, now baked in
Reports uniformly place cybersecurity and DevSecOps front and center: the rise in attacks pushes teams to integrate threat detection (often AI‑assisted), automated testing, and “shift‑left” security into pipelines [6][3]. Several pieces frame security as a competitive requirement for custom projects rather than an afterthought [3][6].
5. Emerging adjuncts: IoT, edge, Web3, and sustainability
Beyond core themes, trackers highlight IoT/edge for low‑latency processing (useful in manufacturing and healthcare), Web3/decentralized storage experiments (Filecoin, IPFS), and an increasing vendor focus on “eco‑friendly” or energy‑efficient software [6][7][8]. These are presented as growth areas, but sources vary in depth and often mix optimistic market forecasts with nascent technical case studies [6][7].
6. Numbers cited — influential projections, not uniform reality
Multiple strong numeric claims recur: IDC’s 90% cloud‑native new apps by 2025, Bloomberg’s 70% LCNC share, projections of low‑code market explosion and adoption figures like “65% of enterprise apps” [2][3][6]. These numbers appear in vendor and industry summaries that amplify analyst reports; treat them as directional gauges shaping procurement and skills planning rather than immutable truths [3][2].
7. What this means for buyers and builders
For organizations buying custom software, the combined guidance is clear: prioritize AI‑ready architectures, demand DevSecOps and governance for LCNC, opt for cloud‑native modularity for scalability, and insist on measurable security and sustainability metrics from suppliers [1][3][7]. Vendor pieces push end‑to‑end partnership models and rapid adoption claims — buyers should ask for independent validation of performance and compliance claims [4][2].
8. Limitations, conflicts, and vendor framing to watch for
Most sources are agency or vendor blogs repackaging analyst data; they amplify promising figures and downstream benefits. That creates three risks: selective citation of analysts, optimistic timelines for tech maturity, and underreported costs of migration or upskilling. Readers should note the promotional bent in many posts and seek primary analyst reports when making strategic investments [6][2][3].
Conclusion — a pragmatic take
The dominant narrative across these sources is consistent: AI, cloud‑native design, LCNC, stronger security, and adjunct tech like edge/IoT will define custom software in 2025. The scale and timing of adoption are framed with bullish projections that influence market behavior; prudent organizations will translate trend rhetoric into concrete pilot projects, measurement criteria, and governance before wholesale platform bets [1][3][2].