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IDC MarketScape: Worldwide Life Sciences Track-and-Trace/Serialization Solutions 2026 Vendor Assessment

Nino Giguashvili — Mon, 29 Jun 2026 04:00:00 GMT

This IDC MarketScape evaluates vendors providing track-and-trace (T&T)/serialization solutions to life sciences organizations worldwide. Leveraging the IDC MarketScape evaluation model, this study provides a comprehensive assessment of vendors against essential criteria that life sciences organizations should consider when selecting their T&T/serialization vendors to maximize the value of their compliance-driven investments. This is the inaugural IDC Health Insights document on the topic conducted in collaboration with IDC Manufacturing Insights.

"The track-and-trace/serialization market has reached an inflection point in pharma; regulatory compliance is now a foundational requirement, and the industry is moving from compliance-driven adoption to value maximization. Success will be defined by organizations' ability to unlock the value of traceability data to drive supply chain intelligence, resilience, and value," says Nino Giguashvili, research manager, IDC Health Insights Worldwide Life Sciences Commercial Strategies.

IDC MarketScape: Worldwide Manufacturing Track-and-Trace/Serialization Solutions 2026 Vendor Assessment

Reid Paquin — Mon, 29 Jun 2026 04:00:00 GMT

This IDC MarketScape evaluates vendors providing track-and-trace/serialization solutions to manufacturing organizations worldwide. Leveraging the IDC MarketScape model, this study provides a comprehensive evaluation of essential criteria manufacturing organizations must consider when selecting their T&T/serialization vendors to maximize the business value of their T&T/serialization investments. This is the inaugural IDC Manufacturing Insights document on this topic, conducted in collaboration with IDC Health Insights.

"As manufacturers look for ways to respond more effectively to disruption, the ability to track where a product or component went and trace where it came from is becoming essential. Ultimately, traceability helps manufacturers prevent small problems from becoming larger and more expensive ones. The more nodes, handoffs, geographies, and/or regulations involved in the supply chain, the more a manufacturer is at risk without T&T/serialization," says Reid Paquin, research vice president, Worldwide Industry Ecosystems and Business Networks Strategies.

IDC MarketScape: Worldwide Private and Hybrid Cloud Management with Automation 2026 Vendor Assessment

Jevin Jensen — Mon, 29 Jun 2026 04:00:00 GMT

This IDC study represents a vendor assessment of the private and hybrid cloud management with automation software market through the IDC MarketScape model.

Enterprises are pushing CloudOps and SRE teams to improve resiliency while rapidly deploying GenAI and agentic AI–ready infrastructure. The private cloud continues to be used for both new and existing workloads.

"A platform approach to private cloud management, monitoring, and automation enables IT teams to more efficiently and effectively support these complex AI environments," says Jevin Jensen, research VP, Infrastructure and Operations, IDC. "Standardizing and consolidating multiple IT automation solutions reduce training and maintenance costs while increasing the adoption of automation, which improves resiliency that the business demands."

AI Inference Infrastructure Optimization Demands Token Economics–Driven Decision-Making

Fri, 26 Jun 2026 04:00:00 GMT

This IDC Perspective shares an overview of how, as enterprises scale AI from experimentation to production, the explosive growth of inference workloads and agentic AI pipelines is making token cost management a board-level financial priority. Token economics (aka “Tokenomics”), the discipline of measuring, governing, and optimizing the full cost of AI token production and consumption, is emerging as the essential framework for every AI infrastructure, architectural, and purchasing decision.

IDC recommends that technology buyers build a full-stack token cost model capturing all infrastructure layers, including compute, storage, networking, power, cooling, and datacenter facilities, when comparing on-premises/dedicated versus cloud-based AI infrastructure options. “Enterprises need to reframe AI infrastructure decisions around token economics to accurately represent the true cost and benefits of AI infrastructure investments at scale,” explains Mary Johnston Turner, IDC research vice president, AI Infrastructure Strategies.

AWS Summit New York 2026: Amazon Doubles Down on Agentic AI with Quick, AgentCore, and Kiro

Nina Turner, Jeff Janukowicz, Heather West, PhD — Fri, 26 Jun 2026 04:00:00 GMT

At the AWS Summit New York on June 17, 2026, AWS VP of Agentic AI Swami Sivasubramanian unveiled a comprehensive suite of agentic AI capabilities centered on three platforms: Amazon Quick, Amazon Bedrock AgentCore, and Kiro. The announcements mark an expansion in AWS’s strategy from custom silicon to cloud infrastructure to full-stack agentic solutions, positioning AWS to compete directly with Microsoft 365 Copilot and Google Workspace AI in enterprise productivity while reinforcing its platform lead for developers building production-grade agent workloads. The Summit also featured an expanded strategic collaboration with QuEra Computing, targeting fault-tolerant quantum computing availability on Amazon Braket by 2028 and signaling that AWS's platform ambitions extend beyond software to foundational compute modalities.

Databricks' Data + AI Summit 2026: Expanding into the Application Platform Market

Matthew Flug — Fri, 26 Jun 2026 04:00:00 GMT

At its annual Data + AI Summit, Databricks advanced a strategy to extend from the company's data management foundation into the application platform and agent development, deployment, and governance layers, anchored by Databricks Apps, Unity Catalog, Unity AI Gateway, Agent Bricks, and the unification of transactional and analytical data through Lake Transactional/Analytical Processing (LTAP). The announcements position the company to compete for agentic application workloads on the strength of governed access to enterprise data as it continues to mature its offerings relative to established application platform providers.

From Pilot to Practice: Navigating Agentic AI Adoption in Enterprise Software Development

Adam Resnick — Fri, 26 Jun 2026 04:00:00 GMT

This IDC Tech Buyer Presentation examines how enterprises can move agentic AI adoption in software development from pilot to sustained production use. Drawing on IDC surveys and independent analyst research, the presentation maps a five-stage maturity curve spanning traditional development through autonomous software engineering and diagnoses the organizational challenges that determine whether adoption advances or stalls. The presentation addresses the full range of adoption barriers, including token spend governance, uneven internal adoption, developer resistance, role shift, measurement design, security, and incentive structure, and frames each as an organizational problem requiring deliberate investment rather than a technological problem that tools will resolve over time. Organizations that build champion networks, centers of excellence, measurement infrastructure, and accountability norms alongside their tooling will reach higher maturity stages with fewer disruptions and compounding rather than diminishing returns.

IDC PlanScape: Process Improvement

Karen D. Schwartz, Giulia Carosella, Mickey North Rizza, Neil Ward-Dutton — Fri, 26 Jun 2026 04:00:00 GMT

This IDC PlanScape discusses process improvement.

“Twenty years ago, process rationalization and improvement were very labor-intensive, error-prone, lengthy processes, and as a result, people often ended up without making any real changes,” says Karen D. Schwartz, adjunct research analyst with IDC’s IT Executive Programs (IEP). “Today we have the knowledge and technology to understand what needs to be done and effect real, meaningful, lasting change.”

IDC PlanScape: Software Asset Management

Snow Tempest, Jevin Jensen, Mickey North Rizza — Fri, 26 Jun 2026 04:00:00 GMT

This IDC PlanScape outlines best practices for software asset management, emphasizing cost control, risk reduction, cross-functional benefits, governance, tool selection, and audit preparedness to optimize software investments and support automation and AI initiatives.

“Effective software asset management can help organizations control costs, improve security, and establish accurate data for automation and AI,” says Snow Tempest, research manager, IT Service Management at IDC.

IDC TechScape: Worldwide Healthcare AI Control Plane and Orchestration Technologies, 2026

Mutaz Shegewi — Fri, 26 Jun 2026 04:00:00 GMT

This IDC TechScape provides a structured framework for healthcare leaders to evaluate, select, and operationalize AI control plane and orchestration technologies. It analyzes transformational, incremental, and opportunistic solutions that enable scalable, governed, and workflow-integrated AI adoption across healthcare enterprises. The study highlights market trends, adoption maturity, risk profiles, and vendor landscapes, guiding organizations to balance innovation with governance, trust, and safety as they transition from isolated AI pilots to enterprise-scale AI deployment and operationalization.

“The future of healthcare AI will depend less on all things standalone and more on the ability to orchestrate, govern, and operationalize intelligent systems at enterprise scale,” says Mutaz Shegewi, senior research director, IDC Health Insights. “Healthcare AI is shifting from isolated to coordinated intelligence, where the real differentiator becomes the enterprise layer that integrates AI across clinical, operational, and administrative workflows.”