세계의 로우코드(LC), 노코드(NC) 및 지능형 개발자 기술(IDT) 예측(2024-2028년)

This IDC study provides a worldwide forecast for 2023-2028 for the LCNCIDT market. It provides the market size of the worldwide LCNCIDT market in 2023 and a five-year forecast through 2028 by geographic region and deployment type. This document updates the market forecast included in Worldwide Low-Code, No-Code, and Intelligent Developer Technologies Forecast, 2023-2027 (IDC #US50224723, August 2023)."IDC forecasts exceptional growth for the low-code, no-code, and intelligent developer technologies market for 2023-2028, with a CAGR of 37.6%," said Arnal Dayaratna, research vice president, Software Development at IDC. "The growth of this market will be primarily driven by intelligent developer technologies, which have a CAGR of 47.3% over the forecast time period, while low-code and no-code developer technologies have a corresponding CAGR of 13.9%. That said, IDC expects that growth of the low-code and no-code developer technologies landscape will accelerate further in forthcoming years given that these technologies are pivoting to deepen their support for the development of intelligent applications."

IDC Market Forecast Figure

Executive Summary

Advice for Technology Suppliers

• Provide Developers with Technologies That Facilitate Model Selection for Large Language Models
• Enhance Developer Experience in AI Coding Assistant Technologies
• Invest in Agentic Builder Technologies to Complement AI Coding Assistants
• Recognize the Role of Low Code in Accelerating AI and Generative AI Development
• Support the Development of Integrated Development Stacks for AI and Generative AI Development

Market Forecast

Market Context

• Drivers and Inhibitors
  • Drivers
    • Productization of Model Transformation Technologies Such as RAG and Fine-Tuning
    • Advancements in Model Quantization, Model Pruning, and Model Distillation
    • Proliferation of Open and Open Source Large Language Models
    • Proliferation of Specialized Coding Assistants
  • Inhibitors
    • The Variability of Generative AI Across Different Contexts and Tasks
• Significant Market Developments
  • Mastering RAG Becomes Essential for Developers as Generative AI Matures
  • Low-Code and No-Code Standardize the Generative AI Development Stack
  • AI Agents Catalyze Innovation in Generative AI Development
  • Low-Code, No-Code, and Command-Line Platforms Converge
• Changes from Prior Forecast

Market Definition

Methodology

• Functional Versus Competitive Markets
• Historical and Forecast Market Values and Exchange Rates

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