What You Need to Know about the Security Operations Center Market in Switzerland
Managed security services providers in Switzerland are seeing success with the security operations center (SOC) model.
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Learn MoreThe idea of customer experience (CX) as a business practice relies heavily on being able to understand and track customer journeys. And that can be tricky because there isn’t a standard definition as to what a journey consists of. For example, inside a contact center the journey is perceived in terms of the steps a customer takes to achieve a particular result. Sometimes that is broadened out to include aspects of the customer’s history, especially when the business wants to use historical data to craft an offer or change a tactic.
The emergence of natural language analytics interfaces driven by generative artificial intelligence (GenAI) models has accelerated enterprise initiatives to enable data democratization—making data available to business decision-makers without the need to train them to use business intelligence (BI) tools. It has also heightened the need for agreed semantic models and business metrics, as well as technologies that facilitate the sharing and consumption of data as a product. As I previously discussed, data as a product is the process of applying product thinking to data initiatives to ensure the outcome—the data product—is designed to be shared and reused for multiple use cases across the business as it enables enterprises to streamline and accelerate the delivery of analytics and artificial intelligence (AI) initiatives. The market for software that enables the design and delivery of data products is evolving rapidly, especially among providers of data catalog-based data intelligence software.
Collaborative Supply Chain Forecasting (CSCF) is a business discipline involving multiple supply chain stakeholders, including suppliers, distributors and sellers, that is aimed at producing a more accurate forecast of future demand and supply. Participants share supply and demand data, forecasts, assumptions and insights to improve visibility, reduce inefficiencies and attenuate supply-demand mismatches. ISG asserts that by 2028, one-third of larger enterprises will have adopted some form of CSCF to reduce costs and improve customer service and supplier relations. However, there are serious challenges to widespread adoption.
The life sciences industry is undergoing a profound transformation, shaped by digital disruption, patient-first innovation and an unrelenting drive toward operational sustainability. Service providers that lead in this space are moving beyond traditional models by embracing AI, generative AI (GenAI), IoT and advanced analytics to reimagine value delivery across clinical development, manufacturing, commercial operations and patient engagement. At this pivotal juncture, the strategic imperative is clear: those who embed intelligence, interoperability and inclusivity across their value chain will accelerate innovation and redefine outcomes.
Advanced analytics and AI are fundamentally reshaping retail and consumer packaged goods (CPG) businesses. Analytics leaders are increasingly embedding data-driven capabilities across the entire value chain, from product innovation and supply chain to merchandising, sales and customer engagement. While implementation is still scaling up, ISG anticipates that comprehensive AI-driven transformation can deliver substantial profit uplift across retailer/CPG operations. This report explores key areas where analytics leaders are integrating advanced analytics and AI.