IDC Japan has revealed that artificial intelligence is rapidly transforming software development and IT operations across Japanese enterprises, with AI-generated coding expected to become mainstream within the next three years.
Enterprises in Japan are moving beyond experimental AI adoption and are now integrating AI deeply into business processes, organizational structures, and software engineering workflows.
The IDC study was based on a web survey conducted in February 2026 involving 515 IT managers and professionals from Japanese enterprises already using AI or generative AI in software development and operations.
AI Code Generation Adoption Accelerates
IDC’s findings show a shift in the use of AI-generated code in software development environments. Only 11.4 percent of companies reported that AI handles most or the majority of code generation tasks. However, this figure is projected to surge to 35.1 percent within the next three years, representing an increase of 23.7 percentage points and more than tripling current adoption levels.
At the same time, enterprises that either do not use AI-generated code or rely on it only for limited support functions are expected to decline sharply from 49.0 percent today to just 23.8 percent in the future.
This indicates that software development models without AI integration are likely to become a minority approach among Japanese enterprises as organizations accelerate digital transformation and AI adoption strategies.
Enterprises Focus on AI Integration and Organizational Transformation
The IDC report highlights that enterprises are no longer focused solely on pilot programs or initial AI experimentation. Instead, organizations are prioritizing:
Integration of AI into software development and IT operational processes
Redesign of organizational structures and workflows
Enhancement of employee skills and AI expertise
Productivity and operational efficiency improvements
Expansion of AI agents and generative AI applications
Companies are evaluating investment plans and internal development capabilities to support long-term AI-driven transformation initiatives.
Growing Concerns Over Security and Skill Erosion
Despite the rapid adoption of AI technologies, IDC warned that enterprises are becoming increasingly concerned about the risks associated with excessive dependence on AI tools.
Key challenges identified in the survey include:
Security vulnerabilities in AI-generated code
Declining foundational coding skills among developers
Overreliance on AI systems
Shortage of AI-specialized talent in IT operations
Organizational and technical constraints related to AI deployment
IDC stated that the lack of skilled AI professionals has emerged as one of the biggest bottlenecks for enterprise AI adoption in IT operations environments.
Shinichi Kimura, Research Manager for Software, Services, and IT Spending at IDC Japan, said AI is rapidly reshaping software development and operational processes across Japanese enterprises.
“AI is rapidly penetrating software development and IT operations in Japanese enterprises, bringing structural transformation to workflows and organizational models,” said Shinichi Kimura.
Companies must move beyond simply introducing AI technologies and instead redesign processes, organizational structures, workforce skills, and operational models to fully capitalize on AI-driven transformation.
IDC emphasized that enterprises capable of continuously adopting and refining AI technologies while establishing effective human-AI collaboration models will gain stronger competitive advantages in the AI era.
The report also analyzed trends related to AI tool adoption, productivity improvements, operational efficiency gains, investment priorities, organizational restructuring, and the growing role of AI agents in enterprise IT environments.
RAJANI BABURAJAN
