Accelerating the
Industrial Internet of Things

Intel

The Internet of Things Starts with Intel Inside.

Intel

United States
1968
Public
NASDAQ: INTC
> $10b
10,001 - 50,000
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DESCRIPTION
Intel designs, manufactures, and sells integrated digital technology platforms worldwide. The company’s platforms are used in various computing applications comprising notebooks, desktops, servers, tablets, smartphones, wireless and wired connectivity products, wearables, transportation systems, and retail devices. It offers microprocessors that processes system data and controls other devices in the system; chipsets, which send data between the microprocessor and input, display, and storage devices, such as keyboard, mouse, monitor, hard drive or solid-state drive, and optical disc drives; system-on-chip products that integrate its central processing units with other system components onto a single chip; and wired network connectivity products.

Featured Subsidiaries/ Business Units:
- Intel Inside
- Intel Data Center Manager (DCM)
- Saffron Technology
- Wind River
From monitoring the energy efficiency of our homes to finding more productive ways to feed the global population, harnessing these connected “things” and turning massive amounts of raw data into actionable insights will have a transformative impact on society. However, both technical and business challenges are slowing IoT adoption. Decision makers within companies are trying to gain a better grasp of expected ROI, cost, and scalability, while IT managers struggle with integration, interoperability, management, and the need to tailor to specific verticals.

Intel is addressing these challenges by offering open and scalable products, fostering a thriving ecosystem, and showing what is possible with pilots and use cases that demonstrate the potential value and ease of deployment. Intel offers a comprehensive portfolio of end-to-end hardware and software with built-in security.

To make IoT simpler to deploy and scale across applications quickly, Intel offer the Intel IoT Platform, a design blueprint that details how to securely connect and manage a fleet of “things” from small sensors to huge server farms that make up the cloud, while using various analytics tools and technologies along the way.
Apple, Dell, HP, NTT Data, Mandic Cloud Solutions, Shanda Games G Cloud, Baidu, Chunghwa Telecom, KT Corporation, BMW
IOT SNAPSHOT
The IoT ONE Radar indicates a vendor's relative focus on hardware, software and services.
Hardware
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.
IoT power supplies include traditional, thin-film and printed batteries, energy harvesting modules, flexible photovoltaic panels and thermoelectric sources.
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.
Software
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.
Visualization solutions use dashboards, alerts, events, maps, and other tools to present easily comprehensible data to end users.
Data management solutions capture, index and store data in traditional database, cloud platforms, and fog systems for future use.
Security software provides encryption, access control, and identity protection to IoT solutions from data collection through end-user applications.
Services
System integrators link IoT component subsystems, customize solutions, and ensure that IoT systems communicate with existing operational systems.
IoT data management consultancies help to make sense of big data, decide which data to maintain and for how long, and troubleshoot IT issues.
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