TECH SUPPLIER Sep 2019 - Market Analysis Perspective - Doc # US44636919

Market Analysis Perspective: Worldwide Agile Application Life-Cycle Management, Quality, and Portfolio Strategies, 2019 — Driving Digital Optimization

By: Melinda-Carol BallouResearch Director, Agile ALM, Quality & Portfolio Strategies

On-line Presentation

Abstract

This IDC Market Analysis Perspective (MAP) provides insight into application life-cycle management (ALM) and project portfolio management (PPM) industry highlights and a review of the market landscape including shares and leading vendor analysis for automated software quality (ASQ); software, change, configuration, and process management (SCCPM); and project and portfolio management, dealing with the impact of significant acquisition activity over the past 12–18 months and evolving demand drivers and inhibiters. Customer needs and strategies are also addressed, with specific guidance for establishing cross-system, multimodal, agile ALM, and PPM strategies for cloud, mobile, social, data analytics, and emerging Internet of Things (IoT) and AI/ML environments. This MAP concludes with a future view of the overall ALM and PPM market areas, followed by essential guidance.

Companies continued their ALM emergence in 2018 and 1H19 driven by dynamic demand for applications on platforms ranging from mobile to cloud to social to embedded software and coordination of ALM with product life-cycle management (PLM). Given the complexity of deployment environments, coupled with demand for speed, quality, and security, IDC saw good uptake in 2018 and solid adoption in 1H19, with growth across the covered ALM markets. Along with an explosion of mobile application development and the evolution of ALM for embedded and emerging IoT systems and cloud (driving complexity), we have also seen increased open source software (OSS) adoption (impacting growth for both ASQ and SCCPM, along with innovation opportunities), standards emergence, and a commensurate need for management. A high level of disruption coupled with engagement by businesses in emerging technology areas demands agile ALM automation and governance. This is the case in a worldwide economy that remains volatile. Innovation demands software, and quality software demands effective ALM. So we have also seen both uptake and vendor offerings increase. This has also driven growth in the DevOps arena — which we see as end-to-end software life-cycle management, encompassing the handoff to release and service management. Life cycle doesn't stop with code completion. But in an increasingly complex world that encompasses embedded software with varying form factors, quality, and security needs, ALM must also include a broader sphere with close coordination with service management. This forms the basis for quality software creation of embedded software as part of "things" (products) and for solid creation of applications for the Internet of Things market. Here, we increasingly see cognitive computing playing a part not merely for data analytics but also to enable software creation targeting these complex environments and emerging predictive systems.


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