{"id":78152,"date":"2025-07-01T13:49:03","date_gmt":"2025-07-01T10:49:03","guid":{"rendered":"https:\/\/gulftech-news.com\/en\/?p=78152"},"modified":"2025-07-01T13:49:04","modified_gmt":"2025-07-01T10:49:04","slug":"gartner-identifies-the-top-strategic-trends-in-software-engineering-for-2025-and-beyond","status":"publish","type":"post","link":"https:\/\/gulftech-news.com\/en\/2025\/07\/01\/gartner-identifies-the-top-strategic-trends-in-software-engineering-for-2025-and-beyond\/","title":{"rendered":"Gartner Identifies the Top Strategic Trends in Software Engineering for 2025 and Beyond"},"content":{"rendered":"\n

Software Engineering Leaders Must Capitalize on These Trends to Accelerate Innovation with AI and Implement Future-Ready Engineering Practices<\/em><\/strong><\/p>\n\n\n\n

Gartner<\/a><\/strong>, Inc. announced the top strategic trends in\u00a0software engineering<\/a>\u00a0for 2025 and beyond. These trends enable organizations to accelerate innovation through AI-driven automation and adopt efficient, future-ready engineering practices.<\/p>\n\n\n\n

\u201cAI-enabled tools and technologies are fundamentally changing how software is built and delivered,\u201d said Joachim Herschmann<\/a>, VP Analyst at Gartner. \u201cGartner\u2019s top trends offer leaders a roadmap to harness AI-driven automation, optimize talent strategies and adopt sustainable, AI-native engineering practices. Software engineering leaders who act on these trends now will position their organizations for long-term success.\u201d<\/p>\n\n\n\n

As organizations develop their strategic roadmap for 2025 and beyond, they must prioritize investments that align with these six strategic trends in software engineering:<\/p>\n\n\n\n

AI-Native Software Engineering<\/strong><\/p>\n\n\n\n


AI-native software engineering is transforming the\u00a0software development<\/a>\u00a0life cycle (SDLC) by embedding AI into every phase, from design to deployment. These practices enable AI to autonomously or semi-autonomously handle a significant share of tasks across SDLC.<\/p>\n\n\n\n

Gartner predicts that by 2028, 90% of enterprise software engineers will use AI code assistants<\/a>, up from less than 14% in early 2024. The role of developers<\/a> will shift from implementation to orchestration, focusing on problem solving and system design, and ensuring AI tools deliver high-quality outcomes. To succeed, teams must balance automation with human oversight, considering business criticality, risk and workflow complexity.<\/p>\n\n\n\n

Building LLM-Based Applications and Agents<\/strong><\/p>\n\n\n\n

Large language models (LLMs) are transforming software engineering by enabling applications to interact intelligently and autonomously, similar to human interactions. Gartner predicts that by 2027, at least 55% of software engineering teams will be actively building LLM-based features.<\/p>\n\n\n\n

\u201cSuccessfully building LLM-based applications and agents requires software engineering leaders to rethink their strategies,\u201d said Herschmann. \u201cThis means investing in upskilling, experimenting with generative AI<\/a> (GenAI) outputs and implementing strong guardrails to manage risks<\/a>.\u201d<\/p>\n\n\n\n

GenAI Platform Engineering<\/strong><\/p>\n\n\n\n


GenAI platform engineering leverages established platform engineering approaches to help developers easily discover, integrate and securely use\u00a0GenAI capabilities<\/a>\u00a0within their applications. Gartner predicts that by 2027, 70% of organizations with platform teams will include GenAI capabilities in their internal developer platforms.<\/p>\n\n\n\n

By making AI capabilities easily discoverable through self-service developer portals, prioritizing features based on developer needs and embedding robust governance and security practices, leaders can ensure their teams build innovative applications<\/a> that comply with organizational standards.<\/p>\n\n\n\n

Maximizing Talent Density<\/strong><\/p>\n\n\n\n


Talent density<\/a>\u2014the concentration of highly skilled professionals within teams\u2014has become a key differentiator for high-performing engineering organizations. When supported by the right culture and technology strategies, talent-dense teams can operate with greater efficiency and adaptability, delivering increased customer value.<\/p>\n\n\n\n

\u201cTo remain competitive, organizations must move beyond traditional hiring practices and focus on building teams with high talent density,\u201d said Herschmann. \u201cLeaders should cultivate a culture of continuous learning and collaboration to attract and retain skilled professionals who can adapt and grow with evolving business needs.\u201d<\/p>\n\n\n\n

Growth of Open GenAI Models and Ecosystem<\/strong><\/p>\n\n\n\n


Open GenAI models are reshaping the enterprise AI landscape by offering greater flexibility, lower costs and freedom from vendor lock-in.<\/p>\n\n\n\n

Unlike proprietary models, open GenAI models enable organizations to customize, fine-tune and deploy AI solutions tailored to their specific needs, whether on-premises or on-cloud. This shift is making advanced AI capabilities more accessible and cost-effective for a wider range of teams and use cases.<\/p>\n\n\n\n

Gartner predicts that by 2028, 30% of total global enterprise spend on GenAI technologies will be on open GenAI models tuned for domain-specific<\/a> use cases.<\/p>\n\n\n\n

Green Software Engineering<\/strong><\/p>\n\n\n\n

Green software engineering is the discipline of building sustainable software that is carbon-efficient and carbon-aware. This approach shifts the mindset from treating the environmental impact of software as an afterthought to incorporating green practices from the start, in every stage from planning to production.<\/p>\n\n\n\n

\u201cAs organizations build and buy more software as part of digital initiatives, the increase in carbon footprint from compute-intensive workloads can be at odds with their sustainability targets,\u201d said Herschmann. \u201cBuilding intelligent applications with GenAI is energy intensive, making green software engineering practices essential.\u201d<\/p>\n\n\n\n

Gartner clients can read more in Top Strategic Trends in Software Engineering for 2025<\/a>.<\/p>\n\n\n\n

Learn how to identify customized focus areas for improvement using the Gartner Software Engineering Leaders Effectiveness Diagnostic.<\/a> <\/p>\n\n\n\n

Gartner CIO & IT Executive Conference <\/strong><\/p>\n\n\n\n

Gartner analysts will provide additional analysis on insights and trends shaping the future of IT and business, including accelerating business transformation, application modernization, infrastructure and operations at the Gartner CIO & IT Executive Conference, taking place September 22-24 in S\u00e3o Paulo<\/a> and October 6-8 in Dubai<\/a>. Follow news and updates from the conference on X using #GartnerCIO<\/a>.<\/p>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

Software Engineering Leaders Must Capitalize on These Trends to Accelerate Innovation with AI and Implement Future-Ready Engineering Practices Gartner, Inc. announced the top strategic trends in\u00a0software engineering\u00a0for 2025 and beyond. These trends enable organizations to accelerate innovation through AI-driven automation and adopt efficient, future-ready engineering practices. \u201cAI-enabled tools and technologies are fundamentally changing how software …<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[2741,3057],"class_list":["post-78152","post","type-post","status-publish","format-standard","hentry","category-news","tag-gartner-2","tag-software-engineering"],"yoast_head":"\nGartner Identifies the Top Strategic Trends in Software Engineering for 2025 and Beyond - Gulf Tech News<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/gulftech-news.com\/en\/2025\/07\/01\/gartner-identifies-the-top-strategic-trends-in-software-engineering-for-2025-and-beyond\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Gartner Identifies the Top Strategic Trends in Software Engineering for 2025 and Beyond - Gulf Tech News\" \/>\n<meta property=\"og:description\" content=\"Software Engineering Leaders Must Capitalize on These Trends to Accelerate Innovation with AI and Implement Future-Ready Engineering Practices Gartner, Inc. announced the top strategic trends in\u00a0software engineering\u00a0for 2025 and beyond. 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