Customer spending on data management software in the Asia/Pacific excluding Japan and China (APeJC) region grew 10.0 percent in 2024, with spending expected to accelerate at a CAGR of 15.7 percent to reach $13.7 billion by 2028.
This growth is being driven by rising demand for AI-integrated workflows, cloud-native platforms, and metadata-driven integration tools that help organizations modernize infrastructure and unify siloed data systems.
Public cloud deployments are leading the charge, with a 31.1 percent CAGR projected, although certain verticals like banking, government, and manufacturing continue to invest heavily in on-premises solutions for compliance and latency considerations.
Innovation in the region is being fueled by the increasing adoption of GenAI, real-time analytics, and hybrid cloud architectures. Enterprises are embracing distributed NoSQL databases, AI-powered data catalogs, low-code/no-code DBMS solutions, and real-time data pipelines.
India, for instance, is investing heavily in DBMS modernization and open-source data frameworks, while South Korea focuses on advanced in-memory and time-series databases for IoT and AI operations. Southeast Asia is pushing cloud-first strategies, with strong uptake of SaaS-based integration and democratized data access tools.
Vendor strategies are evolving to support this hybrid, multi-cloud reality. Leading vendors are prioritizing interoperability with third-party tools, supporting federated data ecosystems, and enhancing capabilities in areas like metadata management, intelligent governance, and real-time data services.
Strategic partnerships with regional service providers and investment in workforce training are also becoming essential to address skill shortages and expand market penetration. Vendors that align their offerings with local compliance needs and digital infrastructure policies, such as India’s data localization drive or Hong Kong’s regulatory focus, are better positioned to capture growth across diverse markets.
