Search results for: 'edge computing da1a storage'

Frost & Sullivan s global IoT industry predictions for calendar 2024 are the result of aggregated input from Frost & Sullivan regional IoT and Edge research teams. Research analysts input leverages the extensive Frost & Sullivan knowledge base, as well as primary and secondary research. This Top 10 Growth Opportunities report reflects the hot ...

Frost & Sullivan s cybersecurity practice area covers a variety of solutions and advanced technologies that offer security protection to organizations. Some of the markets studied include extended detection and response (XDR), secure access service edge (SASE), cloud-native application protection platforms (CNAPPs), identity access management (IAM)...

This Frost Radar covers the year 2023. Frost & Sullivan defines 5G network infrastructure to include the following: radio access networks (RAN); transport networks; and core networks, which may include one or more edge networks. The 5G network infrastructure industry includes public networks run by communications service prov...

In May and June 2023, Frost & Sullivan conducted a global survey of network decision makers to understand businesses perceptions and purchasing decisions regarding software-defined wide area network (SD-WAN) and secure access service edge (SASE). This report examines responses from Latin American (LATAM) businesses of various sizes across vertical...

Disruptive technologies, such as innovative business models (e.g., neutral network hosts, satellite partnerships, and open-source collaboration) and the use of AI and GenAI in IoT, will shape the future of the IoT and edge industry. This was the key message delivered by participants in the IoT Solutions World Congress (IoTSWC), held at Fira Barcelo...

Artificial intelligence (AI) is a relatively new technology, and it is critical that AI solutions are thoroughly tested for varied situations, edge cases, and preferences. The primary aim of a test & measurement (T&M) approach for an AI-driven company is to verify that the AI model's functionality is in line with business requirements while ensurin...

AI has moved from a standalone technology to a core building block that drives global business growth. AI adoption is increasingly critical for international businesses to stay competitive. Improved efficiency and productivity and the need to gain a competitive edge drive the rising adoption of AI among businesses. Understanding AI use cases and a...

As enterprises accelerate their digital transformation and AI adoption, the ability to manage, unify, and extract value from data has become a strategic imperative. This Frost Radar™ delivers a powerful benchmarking analysis of the top 14 data services platform providers—those shaping the future of enterprise data ecosystems through innovation, sca...

This study examines the future of the process automation market, analyzing the shift from traditional hardware-centric systems to software-defined, AI-driven autonomous operations within process and hybrid industries. The research employs ISA-95 technology layer segmentation to assess market evolution and competitive dynamics across oil & gas, chem...