Accelerating the
Industrial Internet of Things

Marvell Technology Group

Marvell Technology Group

United States
1,001 - 10,000
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Marvell Technology Group has operations worldwide and more than 7,000 employees. Marvell’s expertises are in microprocessor architecture and digital signal processing, drives multiple platforms including high volume storage solutions, mobile and wireless, networking, consumer and green products.
The Internet of Things (IoT) is already changing the way consumers are able to control their surroundings. From thermostats and lighting to remote access and home automation, many are already managing comfort, running diagnostics, and receiving alerts about their homes and businesses from devices that can interact seamlessly with mobile clients, cloud services and other IoT devices.

Marvell’s EZ-Connect platform is helping to rapidly bringing innovative devices to the fast growing market. Built on Marvell’s silicon, coupled with industry standards certifications and leading Kinoma software, it is widely considered the most complete, industry-leading connectivity portfolio, capable of enabling more efficient time-to-market IoT designs with hardware and software solutions. Global customers currently are building, creating and implementing with Marvell’s EZ-Connect platform for several markets including home automation, wearables, automotive and industrial.
Hitachi, Samsung, Toshiba, Xiaomi
The IoT ONE Radar indicates a vendor's relative focus on hardware, software and services.
Processors provide the intelligence behind IoT systems and are often integrated into system-on-a-chip designs.
Hardware that enables dual directional communication for data collection and control message delivery. Examples include cellular, Ethernet, and Wi-Fi.
Sensors transform energy into electrical data; they are the eyes and ears of IoT. Actuators transform electrical data into energy; they are the muscle of IoT.
Technologies that enable legacy devices and other systems to connect to the IoT. They integrate technologies and protocols for networking.
Products used by end users that contain IoT technologies. Examples include enabled equipment, wearables, hand-held scanners, and tracking devices.
Middleware integrates the diverse components of an IoT application by structuring communication, workflows, and business rules.
IoT analytics includes real-time or edge computing and batch analysis. Analytics can be behavioral, descriptive, predictive, or prescriptive.
Data management solutions capture, index and store data in traditional database, cloud platforms, and fog systems for future use.
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