{"id":21946,"date":"2025-07-01T12:34:13","date_gmt":"2025-07-01T07:04:13","guid":{"rendered":"https:\/\/thecatalystonline.in\/thecatalyst\/gartner-unveils-new-software-engineering-trends-for-2025\/"},"modified":"2026-08-19T18:32:57","modified_gmt":"2026-08-19T13:02:57","slug":"gartner-unveils-new-software-engineering-trends-for-2025","status":"publish","type":"post","link":"https:\/\/thecatalystonline.in\/thecatalyst\/gartner-unveils-new-software-engineering-trends-for-2025\/","title":{"rendered":"Gartner unveils new software engineering trends for 2025"},"content":{"rendered":"\r\n<p><a title=\"Gartner\" href=\"https:\/\/www.gartner.com\/en\" target=\"_blank\" rel=\"noopener nofollow\">Gartner<\/a>, Inc. announced the top strategic trends in <a href=\"https:\/\/www.gartner.com\/en\/software-engineering\/research\/gartner-score-software-engineering?utm_medium=press-release&amp;utm_campaign=RM_GB_2024_ITSWEL_NPP_PR1_SWENGPRESSRELEASE&amp;utm_term=diagnostic\" target=\"_blank\" rel=\"noreferrer noopener\">software engineering<\/a> for 2025 and beyond. These trends enable organizations to accelerate innovation through AI-driven automation and adopt efficient, future-ready engineering practices.<\/p>\r\n\r\n\r\n\r\n<p>\u201cAI-enabled tools and technologies are fundamentally changing how <a title=\"Software One-new\" href=\"https:\/\/thecatalystonline.in\/wp-content\/uploads\/2025\/02\/Software-One-new.webp\" target=\"_blank\" rel=\"noopener\">software<\/a> is built and delivered,\u201d said<strong> <a href=\"https:\/\/www.gartner.com\/en\/experts\/joachim-herschmann\" target=\"_blank\" rel=\"noreferrer noopener\">Joachim Herschmann<\/a>, VP Analyst at Gartner.<\/strong> \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>\r\n\r\n\r\n\r\n<p>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>\r\n\r\n\r\n\r\n<h4 class=\"wp-block-heading\"><strong>AI-Native Software Engineering<\/strong><\/h4>\r\n\r\n\r\n\r\n<p>AI-native software engineering is transforming the <a href=\"https:\/\/www.gartner.com\/en\/software-engineering\/insights\/developer-experience-assessment?utm_medium=press-release&amp;utm_campaign=RM_GB_2024_ITSWEL_NPP_PR1_SWENGPRESSRELEASE&amp;utm_term=infographic\" target=\"_blank\" rel=\"noreferrer noopener\">software development<\/a> life 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>\r\n\r\n\r\n\r\n<p>Gartner predicts that by 2028, 90% of enterprise software engineers will use <a href=\"https:\/\/www.gartner.com\/en\/webinar\/721281\/1618933\" target=\"_blank\" rel=\"noreferrer noopener\">AI code assistants<\/a>, up from less than 14% in early 2024. The <a href=\"https:\/\/www.gartner.com\/en\/newsroom\/press-releases\/2025-05-08-generative-ai-is-redefining-the-role-of-software-engineering-leaders\" target=\"_blank\" rel=\"noreferrer noopener\">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>\r\n\r\n\r\n\r\n<h4 class=\"wp-block-heading\"><strong>Building LLM-Based Applications and Agents<\/strong><\/h4>\r\n\r\n\r\n\r\n<p>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>\r\n\r\n\r\n\r\n<p>\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 <a href=\"https:\/\/www.gartner.com\/en\/insights\/generative-ai-for-business\" target=\"_blank\" rel=\"noreferrer noopener\">generative AI<\/a> (GenAI) outputs and implementing strong guardrails to <a href=\"https:\/\/www.gartner.com\/en\/webinar\/618867\/1382934\" target=\"_blank\" rel=\"noreferrer noopener\">manage risks<\/a>.\u201d<\/p>\r\n\r\n\r\n\r\n<h4 class=\"wp-block-heading\"><strong>GenAI Platform Engineering<\/strong><\/h4>\r\n\r\n\r\n\r\n<p>GenAI platform engineering leverages established platform engineering approaches to help developers easily discover, integrate and securely use <a href=\"https:\/\/www.gartner.com\/en\/webinar\/594239\/1326571\" target=\"_blank\" rel=\"noreferrer noopener\">GenAI capabilities<\/a> within their applications. Gartner predicts that by 2027, 70% of organizations with platform teams will include GenAI capabilities in their internal developer platforms.<\/p>\r\n\r\n\r\n\r\n<p>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 <a href=\"https:\/\/www.gartner.com\/en\/newsroom\/press-releases\/2025-06-02-gartner-predicts-by-2028-80-percent-of-genai-business-apps-will-be-developed-on-existing-data-management-platforms\" target=\"_blank\" rel=\"noreferrer noopener\">applications<\/a> that comply with organizational standards.<\/p>\r\n\r\n\r\n\r\n<h4 class=\"wp-block-heading\"><strong>Maximizing Talent Density<\/strong><\/h4>\r\n\r\n\r\n\r\n<p><a href=\"https:\/\/www.gartner.com\/en\/software-engineering\/topics\/software-engineering-talent?utm_medium=press-release&amp;utm_campaign=RM_GB_2024_ITSWEL_NPP_PR1_SWENGPRESSRELEASE\" target=\"_blank\" rel=\"noreferrer noopener\">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>\r\n\r\n\r\n\r\n<p>\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>\r\n\r\n\r\n\r\n<h4 class=\"wp-block-heading\"><strong>Growth of Open GenAI Models and Ecosystem<\/strong><\/h4>\r\n\r\n\r\n\r\n<p>Open GenAI models are reshaping the enterprise AI landscape by offering greater flexibility, lower costs and freedom from vendor lock-in.<\/p>\r\n\r\n\r\n\r\n<p>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>\r\n\r\n\r\n\r\n<p>Gartner predicts that by 2028, 30% of total global enterprise spend on GenAI technologies will be on open GenAI models tuned for <a href=\"https:\/\/www.gartner.com\/en\/newsroom\/press-releases\/2025-04-09-gartner-predicts-by-2027-organizations-will-use-small-task-specific-ai-models-three-times-more-than-general-purpose-large-language-models\" target=\"_blank\" rel=\"noreferrer noopener\">domain-specific<\/a> use cases.<\/p>\r\n\r\n\r\n\r\n<h4 class=\"wp-block-heading\"><strong>Green Software Engineering<\/strong><\/h4>\r\n\r\n\r\n\r\n<p>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>\r\n\r\n\r\n\r\n<p>\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>\r\n","protected":false},"excerpt":{"rendered":"<p>Gartner reveals top software engineering trends for 2025, guiding organizations to boost innovation with AI automation and future-ready practices.<\/p>\n","protected":false},"author":2,"featured_media":21945,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[36],"tags":[],"class_list":["post-21946","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-catalyst-exclusive"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.3 - 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