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Calsoft launches research paper mapping enterprise technology priorities from 2025 to 2030

Analysis of ten technologies across connectivity, compute, security, and sustainability, with implementation timelines mapped through 2030

Organizations that built cross-functional programs supported by observability, benchmark tracking, and platform thinking saw measurable improvements.”

— Richa Thomas, Director Marketing, Calsoft

SAN JOSE, CA, UNITED STATES, January 21, 2026 /EINPresswire.com/ — Calsoft, a technology services and product engineering company, has released a research paper titled “Technology priorities shaped by 2025 that will define enterprise progress until 2030.” The paper examines ten technologies that will mature by 2025 and provides guidance for organizations building technical infrastructure, operational systems, and governance frameworks through the end of the decade.

Quick View

– Analysis of ten technologies across connectivity, compute, security, and sustainability, with implementation timelines mapped through 2030
– Enterprise technology leaders in manufacturing, telecom, retail, and hi-tech seeking structured deployment guidance and KPI benchmarks
– Verified market data, deployment metrics, and governance frameworks aligned with industry standards for security (NIST, ISO 27001), data privacy (GDPR), and sustainability reporting (CSRD)

The paper addresses ten technologies across four critical domains: connectivity (5G and early 6G evolution), compute infrastructure (edge computing, industrial IoT, digital twins), security and operations (hyperautomation, cybersecurity frameworks, quantum readiness planning), and emerging capabilities (extended reality systems, composable data infrastructure, sustainable computing). Each technology includes implementation timelines mapped through 2030, showing organizations when to pilot, deploy, and scale specific capabilities based on industry maturity curves.

Manufacturing, telecom, retail, and hi-tech sectors face distinct operational challenges as they integrate AI workloads, distributed systems, and sustainability requirements. The paper provides structured deployment guidance tailored to these industries, including department-level implementation requirements, operational KPIs for measuring progress, and benchmark data showing expected performance ranges. Technology leaders can use these benchmarks to set realistic targets and track deployment effectiveness against industry standards.

The research draws verification from established market sources, including IoT Analytics, Gartner, and McKinsey. The paper maps each technology to relevant governance frameworks: security implementations are aligned with NIST cybersecurity standards and ISO 27001 requirements, data handling practices reference GDPR compliance requirements, and sustainability initiatives follow CSRD (Corporate Sustainability Reporting Directive) reporting frameworks. This compliance mapping helps organizations address regulatory requirements while deploying new technology capabilities.

“As Anupam Bhide, CEO of Calsoft suggests in the report by 2025, enterprise technology adoption shifted from isolated projects to integrated strategy,” Richa Thomas, Marketing Director at Calsoft. “Organizations that built cross-functional programs supported by observability, benchmark tracking, and platform thinking saw measurable improvements in uptime, resolution time, and operational alignment. This paper documents what worked and provides a structured view for planning through 2030.”

The focus now is on maturing deployed systems rather than chasing new pilots. Companies need to track how platforms behave under real workloads, how teams collaborate around them, and how systems support business outcomes. Technology teams are being asked to deliver measurable progress aligned with resource planning and department-level priorities.

The research provides practical implementation guidance through detailed tables covering key actions, affected departments, timelines ranging from six to 48 months, and cost categories from low to high. Additional technical sections address governance requirements for data residency, device identity management, cryptographic agility, and energy tracking per workload. Risk management guidance covers infrastructure exposure, data drift in AI systems, firmware vulnerabilities, and quantum encryption planning.

About Calsoft

Calsoft is a technology services and product engineering company that works with enterprises and technology vendors on infrastructure, connectivity, automation, and data systems. The company supports deployment planning, integration validation, and operational readiness across sectors, including telecom, manufacturing, retail, and hi-tech. For more information, visit: https://www.calsoftinc.com/

Richa Thomas
Calsoft
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