IDC权威报告发布：smardaten以“数据+AI”双轮驱动重构企业数字化转型范式

Core Insights - The report by IDC highlights that low-code/no-code technology is becoming a key engine for digital innovation, addressing the urgent needs for agile development, data value release, and technology accessibility in various sectors, including finance, manufacturing, and government [4][14] - Smardaten is recognized as a leading enterprise-level no-code platform in China, showcasing a unique "data-driven + AI-enabled" innovation model that is reshaping enterprise software development paradigms [3][4] Group 1: Smardaten's Technological Advantages - Smardaten is the only no-code platform that supports the entire software engineering lifecycle, enhancing productivity, agility, and innovation through its "no-code + AI" model [3][5] - The platform has demonstrated significant efficiency improvements, with companies using Smardaten reporting an average development cycle reduction of 85%, a 90% increase in data governance efficiency, and a 70% decrease in AI model deployment costs [5][12] - Smardaten's architecture integrates no-code development, AI intelligence, and data governance, creating a closed loop from business needs to software development and data value [5][12] Group 2: Industry Challenges and Solutions - IDC identifies three core challenges faced by enterprises: data silos leading to underutilization of data (30% utilization rate), high dependency on technical resources, and the complexity of AI implementation [4] - Smardaten addresses these challenges by reducing IT resource dependency, accelerating application deployment, and enabling seamless data integration and real-time access without complex coding [4][12] Group 3: Future Trends and Predictions - IDC predicts that by 2026, 70% of new applications will be built using low-code/no-code platforms, with the integration of AI fundamentally transforming software engineering paradigms [13][14] - The report emphasizes that Smardaten is leading three major technological trends: democratizing AI agent development through natural language interaction, creating a market for data asset circulation, and building an ecosystem of developers to form a digital transformation "app store" [13][14]