The technology decisions your organisation makes today will define your competitive position for years. But the IT landscape is moving at a pace that makes long-range planning feel nearly impossible. AI trends are reshaping infrastructure roadmaps, security threats are escalating in sophistication, and CIOs are being asked to deliver transformation on budgets that are not growing proportionally. The stakes are high, and the margin for strategic error is thin.
Meraki Research delivers IT industry research that cuts through the noise and gives technology leaders the intelligence they need to make confident decisions. We work directly with CIO teams, IT strategy groups, and technology investors to produce research grounded in primary data—not trend recycling. Our work has informed infrastructure investment decisions, vendor selection processes, and digital transformation roadmaps for organizations across every major sector.
Whether you need to understand how agentic AI will reshape your applications portfolio, where to spot emerging shifts in enterprise IT spending, or how your I&O (infrastructure and operations) strategy compares to best practices, our team delivers the clarity that turns complexity into direction. We have worked with technology leaders at organizations ranging from mid-market companies to global enterprises, and the insight we produce is always custom—built around your specific decisions, not someone else's framework.
Our Approach: The IT Intelligence Methodology
IT markets are layered—hardware, software, services, cloud, and security all interact in ways that make siloed analysis dangerous. Our methodology is built to capture these interdependencies. We call it the IT Intelligence Methodology, a five-phase process that produces insight across the full technology stack.
Phase 1: Priority and Landscape Assessment
Every engagement begins by understanding what matters most to your organisation right now. We start with structured conversations with your technology leaders to map current priorities, pain points, and planning horizons. This is not a generic intake call—it is a detailed discovery process that ensures our research is anchored to the decisions your team is actually facing.
We then overlay this internal view with our assessment of broader industry shifts. This includes analysing IT spending trends, vendor ecosystem evolution, and regulatory forces that are reshaping technology adoption. Think of this as building your personalized version of an IT priorities report—one that reflects your specific context rather than the general priorities reports 2026 IT priorities reports 2026 cycle of predictions that treat every organisation the same. We examine how global macro forces, from supply chain disruption to data sovereignty regulation, translate into concrete implications for your technology strategy.
The output from this phase is a research brief that aligns our team's investigative focus with your strategic calendar.
Phase 2: Technology Domain Deep Dives
With priorities established, we conduct focused research across the data domains that matter to your decisions. This might include:
- Security posture benchmarking and threat landscape analysis
- Applications modernization readiness assessments
- Cloud infrastructure and I&O maturity evaluation
- AI trends mapping, including the rise of agentic AI and its implications for enterprise workflows
- AI prototype design agents and their potential to accelerate software development cycles
- Network architecture and edge computing readiness
Each domain deep dive combines secondary research with primary intelligence gathering. We interview technology practitioners, survey IT decision-makers, and engage vendor and analyst communities to build a multi-perspective view. Our research goes beyond what vendors claim to explore what enterprises are actually deploying, what is working, and where implementations are falling short.
For organizations navigating the current AI wave, our deep dives cover not just the technology itself but the organizational readiness factors—talent, governance, data infrastructure, and change management—that determine whether AI investments deliver value.
Phase 3: Competitive and Peer Benchmarking
Understanding where you stand relative to peers is critical for CIO credibility and board-level conversations. We benchmark your technology strategy, spending patterns, and operational maturity against a curated peer set.
This is not a generic benchmarking exercise. We select comparators based on your industry, scale, and strategic ambition. For a mid-market manufacturer, the relevant peer set looks very different than for a global financial services firm. Our benchmarks are designed to reveal actionable gaps, not just statistical averages. We compare across dimensions that matter: technology spending as a percentage of revenue, cloud migration progress, security maturity, and digital capability development.
We also benchmark organizational factors—IT team structure, talent models, vendor management approaches, and governance frameworks—because technology strategy does not succeed in isolation from the people and processes that execute it.
Phase 4: Scenario Modeling and Roadmap Development
IT strategy does not operate in a vacuum. Budget cycles, organizational change, vendor lock-in, and talent constraints all shape what is actually achievable. In this phase, we model scenarios that account for these realities.
We work with your CIO and strategy teams to develop technology roadmaps that are both aspirational and executable. Each roadmap includes decision gates, investment staging, and risk indicators. We help you plan for the shifts you can anticipate and build flexibility for the ones you cannot. Roadmaps are structured in 90-day execution horizons nested within multi-year strategic arcs, giving your team both near-term clarity and long-term direction.
For organizations evaluating agentic AI and other emerging technologies, our scenario models explicitly account for technology maturity curves, helping you time investments for maximum impact rather than jumping at every new trend.
Phase 5: Insight Delivery and Strategic Activation
Our final deliverables are built for action, not archival. We present findings in executive-ready formats designed for board presentations, CIO planning sessions, and cross-functional strategy discussions.
Every engagement includes a working session where our team walks through findings, pressure-tests assumptions, and helps prioritize next steps. We do not just present a report and leave. We stay available through implementation to answer follow-up questions, refine recommendations as conditions evolve, and help your team translate research into execution.
For CIOs preparing for board or executive committee presentations, we provide narrative frameworks and data visualizations specifically formatted for non-technical audiences.
When IT Industry Research Applies
This service is designed for organizations where technology decisions carry strategic weight. It is the right fit when:
- Your CIO or technology leadership team is building or refreshing a multi-year IT strategy and needs evidence-based input grounded in primary research
- You are evaluating major infrastructure investments—cloud migration, security upgrades, or applications modernization—and need to understand the vendor landscape and best practices before committing budget
- Your board or executive team is asking about AI trends, including agentic AI and automation, and you need a realistic assessment of opportunity and risk that goes beyond vendor hype
- You are an investor or PE firm conducting technology due diligence and need independent IT industry research from practitioners, not generalists
- Your I&O team needs benchmarking data to justify budget requests, organizational changes, or platform migrations
This service is not the right fit for narrow product evaluations (e.g., picking a specific CRM vendor) or tactical procurement support. For those needs, our Market Research Consulting team can help scope a lighter engagement. If your research questions centre on consumer technology behaviour rather than enterprise IT, our Consumer Behavior Research service may be a better match.
What We Deliver
| Deliverable | Description | Format |
|---|---|---|
| IT Landscape Assessment | Comprehensive analysis of trends, shifts, and spending patterns relevant to your sector and scale | Executive report (PDF + slides) |
| Domain Deep-Dive Reports | Focused research on priority data domains: security, applications, AI, cloud, I&O | Modular reports (1 per domain) |
| Peer Benchmarking Analysis | Quantitative and qualitative comparison against curated peer organizations across technology, spending, and organizational dimensions | Data workbook + narrative brief |
| Technology Roadmap | Phased plan with decision gates, investment staging, scenario modelling, and 90-day execution horizons | Interactive slide deck + planning template |
| Executive Working Session | Facilitated session with your leadership team to translate research into decisions and build alignment | Half-day workshop (virtual or on-site) |
Timeline: Engagements typically span 8–12 weeks. Single-domain deep dives can be delivered in 4–6 weeks. We offer accelerated timelines when decisions are time-sensitive.
Industry Applications
- Financial Services: IT strategy research for banks, insurers, and asset managers navigating security mandates, cloud adoption, and AI regulatory requirements in one of the most heavily regulated sectors.
- Healthcare & Life Sciences: Applications modernization research, interoperability benchmarking, and AI readiness assessments for health systems and pharma companies managing complex compliance landscapes.
- Manufacturing: Industrial IoT and operational technology research, including I&O benchmarking and agentic AI applications in supply chain and production environments.
- Retail & E-Commerce: Technology roadmaps for omnichannel infrastructure, security posture reviews, and digital experience platform evaluation in a sector where customer expectations evolve rapidly.
- Technology & SaaS: Competitive intelligence and AI trends analysis for technology companies building products in crowded markets where staying ahead requires continuous landscape monitoring.
- Private Equity & Venture Capital: Technology due diligence and IT maturity assessments for portfolio companies and acquisition targets, with a focus on scalability, technical debt, and modernization costs.