Across the CRN 2026 MSP 500 executives, a few themes consistently stand out as the biggest opportunity areas for 2026: 1. **Artificial Intelligence (AI) and AI-as-a-Service (AIaaS)** - Most MSP leaders point to AI as their primary growth driver. - Demand is shifting from AI “experiments” to **measurable business outcomes**, similar to the early days of cloud adoption. - Key focus areas include: - AI-as-a-Service (AIaaS) for automation and productivity - AI-driven automation of IT operations and internal MSP processes - Department-level GPT models and agentic AI for workflows - Generative AI to deliver faster, more scalable IT and cybersecurity services 2. **Cybersecurity and Compliance** - Cybersecurity remains a major growth engine, especially as cyber threats increase in frequency and sophistication. - High-interest areas include: - AI-enabled managed detection and response (MDR) - Pre-emptive and protective security systems - Ransomware prevention, incident response, threat intelligence and threat actor communication - Compliance-focused services such as **CMMC (Cybersecurity Maturity Model Certification)**, data governance and broader regulatory requirements. 3. **Data Governance and Foundations for AI** - Executives emphasize that the real differentiator will be how well organizations: - Build and manage strong **data foundations** - Establish **operational discipline** - Implement **governance** to support AI at scale - MSPs see opportunity in helping clients reduce technical debt, build resilience and create long-term competitive advantage through better data and governance. 4. **Secure Hybrid Environments and Network Modernization** - As hybrid work persists, MSPs see demand for: - Secure hybrid environments and zero trust networking - SASE (Secure Access Service Edge) as the logical evolution of legacy network and security stacks - Network modernization driven by AI investments and cloud-native security. 5. **Productivity and Collaboration Platforms** - There is continued need for business productivity solutions, including: - Analytics platforms like Microsoft Power BI and the Power Platform - Modern collaboration tools that unify messaging, workflow automation and AI-driven insights. 6. **Specialized and Vertical AI Platforms** - Some MSPs are investing in industry-specific AI platforms and internal tools to automate workflows, strengthen compliance and deliver more tailored intelligence. While AI is the common thread, MSPs are pairing it with cybersecurity, compliance, data governance, hybrid work, and network modernization to create practical, service-based offerings for small and midsize businesses that lack the scale or expertise to implement these technologies on their own.

MSP executives see AI not just as a new product category, but as a way to reimagine how services are delivered and managed. Their plans fall into two main buckets: **client-facing AI services** and **internal AI-driven efficiency**. 1. **Client-Facing AI Services** MSPs are building AI into their core offerings to help clients automate, secure and modernize operations: - **AI-as-a-Service (AIaaS)**: Packaging AI capabilities—such as automation, analytics and generative AI—into recurring service models. - **AI assessments and readiness**: Helping clients evaluate where AI can add value, what data foundations they need, and how to manage risk and governance. - **AI-enhanced cybersecurity**: - AI-enabled managed detection and response (MDR) - Threat detection and response automation - Risk simulation and predictive analytics for cyber threats - **Operational and agentic AI**: - Autonomous workflows to cut operating expenses and reduce mean time to repair (MTTR) - Departmental GPT models for specific business functions - **Co-managed AI models**: - AI help desk - AI operations - AI data science-as-a-Service - **AI-enabled productivity and collaboration**: - Copilot-style deployments - Workflow automation - AI-driven insights embedded into collaboration platforms. 2. **Internal Use of AI by MSPs** Many MSPs also see AI as a way to deliver services more efficiently and at scale: - **Automating routine tasks**: Using AI to handle repetitive support tasks, monitoring and basic remediation, improving response times without proportional headcount growth. - **Enhancing support and operations**: - AI-powered systems for ticket triage and resolution suggestions - AI-driven operations analytics to optimize resource allocation and service quality. - **Security monitoring at scale**: Applying AI to sift through large volumes of security telemetry, highlight anomalies and prioritize incidents. - **Data-driven decision-making**: Leveraging AI analytics to refine service offerings, pricing and capacity planning. 3. **From Experimentation to Outcomes** Executives note a shift similar to early cloud adoption: - Organizations are moving from **testing AI** to **demanding measurable business outcomes**. - MSPs see their role as helping clients: - Build and manage data foundations - Put governance and guardrails in place - Integrate AI responsibly into existing processes. 4. **Balanced, Customer-Driven Adoption** Not every MSP is racing to deploy AI everywhere. Some are taking a more measured, customer-driven approach: - Starting with conversations and targeted pilots - Introducing AI-enhanced solutions only where they see clear, practical value - Continuing to emphasize core strengths like proactive support, security and customer service while layering AI on top. Overall, MSPs expect AI to reshape both how they operate and how they create value for clients, with a focus on automation, security, governance and practical business outcomes rather than AI for its own sake.

Cybersecurity, compliance and hybrid work are tightly linked in MSPs’ 2026 plans. Executives see these areas as steady, high-need domains where they can apply both established practices and newer technologies like AI. 1. **Cybersecurity as a Core Growth Engine** MSPs consistently highlight cybersecurity as a major opportunity area: - **Ransomware** remains a top concern across industries, driving demand for: - Prevention and preparedness services - Incident response, threat intelligence and threat actor communication - **Cloud-native and hybrid multi-cloud security** are gaining traction as clients spread workloads across environments. - **AI-powered managed security services** are being used to: - Detect and respond to threats more quickly - Provide pre-emptive and protective security capabilities. 2. **Compliance, CMMC and Data Governance** Regulatory pressure is increasing, especially for organizations that must meet specific frameworks: - **CMMC (Cybersecurity Maturity Model Certification)** is called out as a clear growth area, with MSPs offering: - Compliance assessments and advisory services - Remediation work to close gaps and reach required maturity levels. - **Data governance** is seen as essential to support AI and meet regulatory expectations: - Building robust data foundations - Implementing governance, visibility and risk-management processes - Establishing practical AI guardrails as organizations move from experimentation to operational use. 3. **Secure Hybrid and Zero Trust Environments** As hybrid work becomes the norm rather than the exception, MSPs are focusing on: - **Secure hybrid environments** that balance performance, security and user experience. - **Zero trust networking** and **SASE (Secure Access Service Edge)** as the new ideal state for networking and security: - Simplifying architectures - Strengthening zero trust postures - Supporting users from anywhere. - **Cloud-based desktop delivery** (e.g., Azure Virtual Desktop, Windows 365) to streamline management and support hybrid work without the overhead of traditional VDI. 4. **Integrated Productivity and Collaboration Platforms** MSPs also see opportunity in platforms that bring together communication, productivity and security: - Modern collaboration tools that unify messaging, workflow automation and AI-driven insights. - Business productivity solutions like analytics (e.g., Power BI, Power Platform) that help organizations get more value from their data. 5. **Balancing Emerging and Established Technologies** Some executives note that, for many small and midsize businesses, the biggest growth in 2026 may still come from **tried-and-true solutions** that are not yet widely adopted in their markets, rather than only from the newest technologies. - This includes strengthening core security, modernizing networks, and improving basic productivity and collaboration tools. - AI, zero trust, SASE and advanced compliance services are layered on top of these fundamentals. In summary, MSPs are treating cybersecurity, compliance and hybrid work as interconnected pillars of their 2026 strategy, using them as practical contexts where AI, automation and modern architectures can deliver tangible, risk-aware improvements for clients.