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US tech firm LogicMonitor, SG’s SiS partner to expand AI in SEA

LogicMonitor has partnered with SiS Technologies to expand its presence in Southeast Asia.

LogicMonitor is a US-based company offering hybrid observability platforms, while SiS Technologies is an IT distributor based in Singapore.

The collaboration aims to improve access to LogicMonitor’s monitoring and analytics tools for enterprises in the region.

This move follows LogicMonitor’s recent launch of a Singapore data center.

Both companies said the partnership will focus on providing local expertise and support to organizations adopting hybrid and multi-cloud IT environments.

🔗 Source: LogicMonitor

🧠 Food for thought

Implications, context, and why it matters.

SiS Technologies’ distribution reach remains unclear for assessing LogicMonitor’s growth potential

  • The global observability market is projected to grow from USD 3.07 billion in 2025 to USD 6.33 billion by 2032, with Asia Pacific expected to hold a 38.9% share in 2025 1.
  • No details appear in the announcement on SiS Technologies’ partner count, coverage across Association of Southeast Asian Nations (ASEAN) beyond Singapore, or whether the deal is exclusive 2.
  • SiS Technologies has worked for 30 years in security and cloud 3. It also sells networking and infrastructure 3. The firm offers collaboration and AI technologies 3. The announcement does not explain its observability lineup or position 1. Rivals in this space include Datadog, Dynatrace, and Splunk 1.
  • Lacking reseller breadth or industry focus data, it is hard to estimate new revenue for LogicMonitor or the pace of expansion in Southeast Asia.

Real-time monitoring demand creates expansion opportunities for adjacent technology vendors

  • The observability tools market is growing at 19.7% Compound Annual Growth Rate (CAGR) through 2035, driven by cloud-native architectures and distributed systems complexity 4.
  • Managed service providers can bundle observability with cloud migration and infrastructure management, as enterprises face rising data storage costs and tool-chain sprawl (too many overlapping tools) 5.
  • Artificial Intelligence for IT Operations (AIOps) vendors can plug into observability platforms, as AI-driven predictive analytics and autonomous remediation are expected to become mainstream by 2035 6.
  • Financial Operations (FinOps) firms can pair with observability vendors to address the 69% of spending on cloud/Software-as-a-Service (SaaS) deployments 5, helping enterprises cut costs while keeping visibility across hybrid environments.

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