세계의 소프트웨어 변경, 구성, 프로세스 관리(SCCPM) 시장 예측(2024-2028년) : 소프트웨어 속도, 복잡성 과제, 품질 중요성이 진화하는 GenAI에 의한 확대를 촉진

This IDC study provides a 2024-2028 forecast for the worldwide software change, configuration, and process management (SCCPM) market. We have increased our forecast CAGR for this market to 24.3% for the 2023-2028 time frame to projected revenue of $25.3 billion by 2028 (from a 23.9% CAGR for the 2022-2027 time frame published in June 2023 to revenue of $21.6 billion by 2027). This increase is based on dynamic growth in adoption that IDC has observed, surveys including data gathered semimonthly about buying pattern commitments, and visibility into revenue growth as we gather data during 1H24. There has also been a foundational cycle of high double-digit revenue growth for leading vendors resulting from G2000 and SMB investment over the past seven years. This resulted from expansion on the part of some major vendors across areas of innovation in this broad market and massive, rapid growth on the part of others; investment by organizations seeking to gain agile automation and management for value streams, requirements, code repositories, and SBOMs; and DevOps expenditures in the wake of higher investment. The need for collaboration, code governance, and application delivery, augmented by a headlong rush to adopt GenAI capabilities as they become available, drove growth and will continue to do so moving into 2H24-2025 and beyond, as organizations move with speed to digitize."We see massively broadening SCCPM engagement given its role in software collaboration, creation, and delivery to enable expansion during this time of global volatility, augmented by rapidly evolving GenAI, AI, and ML capabilities. SCCPM solutions for adaptive DevOps execution drove double-digit market growth and are an imperative during 2024 as we move into the forecast period," says Melinda Ballou, research director, Agile Application Life-Cycle Management, Quality, and Portfolio Strategies at IDC. "With the disruptive impact of geopolitical and environmental upheaval and, at the same time, the dramatic shift to leverage generative AI, ML, digital execution, and adaptive work (that demands agile strategies, cooperation, and continuous deployment for DevOps), we expect that a number of factors will continue to contribute to high SCCPM growth during the forecast period, even in the face of financial and geopolitical uncertainties. This includes the strong emergence of platforms, collaboration, SBOM strategies, smart data analytics, and value stream management to help address demands for distributed development and delivery, increased compliance, and cloud models for faster adoption. Indeed, we saw a seventh consecutive year of high, extraordinary double-digit revenue growth overall in 2023 for innovative vendors targeting these areas that are again now poised for high revenue increases. We expect the push toward multimodal, multiplatform deployments along with evolving GenAI, AI, ML, and other capabilities to drive stronger SCCPM growth over the forecast period at a higher CAGR of 24.3% for the 2023-2028 time frame to projected revenue of $25.3 billion by 2028 as platforms consolidate via acquisition and organic expansion, as data becomes visible and pragmatically actionable to increase efficiencies with judicious GenAI and AI adoption, and as platform-as-a-service DevOps solutions dominate."

IDC Market Forecast Figure

Executive Summary

Advice for Technology Suppliers

• Advice for Those Targeting the SCCPM Market

Market Forecast

Market Context

• Drivers and Inhibitors
  • Drivers
    • Impact of Ongoing Digitization and Global Competitive Pressures and Velocity and AI, GenAI, and ML Adoption
    • Agile ALM and DevOps Demand, Need for Governance, and Complex Sourcing
    • Global Compliance and Competitive Demands for Multimodal Deployment and IoT
  • Inhibitors
    • Open Source Software Adoption and Standards
    • Geopolitical Upheaval and Environmental Challenges
• Significant Market Developments
• Changes from Prior Forecast

Market Definition

Methodology

• Historical and Forecast Market Values and Exchange Rates

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