Research

Research Reports

Kramer&Co. provides in-depth research and insights on global technology trends and markets. We offer advisory services on research you might be undertaking in-house, guiding survey development and logic to help ensure the very best results from your research. We also offer custom research services for projects of all sizes. Our industry analysts are experts at both quantitative and qualitative research, and our studies help organizations assess buyer sentiment, business challenges, market drivers, and evaluate end-user demand.

We provide actionable intelligence based on real-world data rather than hypothesis, enabling technology leaders to make informed decisions, identify competitive opportunities, and align their solutions with evolving customer needs in an increasingly AI-driven environment. Whether you’re looking to understand market trends, evaluate competitive positioning, or develop strategic roadmaps, Kramer&Co.’s research delivers the clarity and direction your business requires.

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Market Insights and News

  • RingCentral AIR Pro

    RingCentral is expanding AIR Pro with native AI agents embedded directly into RingCX workflows, announced at Customer Contact Week Las Vegas. New Autonomous Outreach and context-rich Intelligent Handoffs move the contact center from reactive cost center to proactive engagement engine — backed by a customer base that's grown over 70% year-over-year, with more than half already using AI.

  • Verint Engage 2026

    Verint Engage 2026 opens in Las Vegas as the first conference since Thoma Bravo's $2B acquisition merged Verint with Calabrio under new CEO Dave Rhodes. With AI ARR up 24% year-over-year but post-acquisition layoffs raising product continuity questions, here's what to watch on integration substance, AI outcomes, and the competitive pressure from bundled CCaaS platforms.

  • Epicor cognitive ERP

    Epicor CEO Steve Murphy opened Insights 2026 with an apology and unusual candor about AI hallucination rates, setting up the event's real argument: a 50-year manufacturing data ontology as a genuine AI moat. Analysts Shelly Kramer and Robert Kramer break down what's proven (a freight agent that cut variance from 19% to 1.5%), what's still roadmap, and what gaps remain on pricing and governance.

  • Epicor Insights 2026

    Epicor Insights 2026 brought the company's most consequential product announcements in years — six AI capabilities shipped simultaneously, a headless ERP architecture built on open MCP connections, and an AI-assisted migration program targeting 90-day go-lives. Here's what the Nashville announcements mean for manufacturers, distributors, and the analysts watching whether the keynote translates to production reality.

  • Skyhigh Security: Data Protection

    Most enterprise security architectures were built to control access — not to protect data once access is granted. Skyhigh Security EVP Thyaga Vasudevan joined Security Square to explain how DSPM, DLP, and a flexible SSE Everywhere model are addressing the harder problem: knowing where sensitive data lives and what AI agents are doing with it.

  • ericsson cradlepoint

    Ericsson Cradlepoint's W2255 is built for a world where wireless can no longer be treated as a backup. With dual-SIM failover up to 10x faster than previous approaches, 5G SA network slicing, LEO satellite integration, and a single IP67-rated form factor for any environment, the W2255 repositions Wireless WAN as foundational enterprise infrastructure.

  • enterprise communications

    Mitel CTO Luiz Domingos joined the Experience Matters podcast to lay out a grounded vision for enterprise communications in the AI era — one centered on hybrid deployment as a strategic destination, not a compromise. With Mitel Edge and Mitel WX, the company is addressing data sovereignty, frontline worker needs, and AI governance in ways cloud-only vendors can't match.

  • Google Cloud Next 2026

    Google Cloud Next 2026 was less a product launch than a declaration of strategic intent. From the Gemini Enterprise Agent Platform and Agentic Data Cloud to A2A protocol v1.0 in production at 150+ organizations, Google made its most architecturally coherent case yet for why enterprises should treat it as the AI-native platform for the agentic era now unfolding.