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Hitachi
Inspire the Next.
Overview
HQ Location
Japan
Year Founded
1910
Company Type
Public
Revenue
> $10b
Employees
> 50,000
Website
Stock Ticker
OTCMKTS: HTHIY
Twitter Handle
Company Description
Hitachi is a highly diversified company that operates eleven business segments: Information & Telecommunication Systems, Social Infrastructure, High Functional Materials & Components, Financial Services, Power Systems, Electronic Systems & Equipment, Automotive Systems, Railway & Urban Systems, Digital Media & Consumer Products, Construction Machinery and Other Components & Systems.
Year founded: 1910
Revenue: $94.0 billion (2014)
TYO: 6501
Year founded: 1910
Revenue: $94.0 billion (2014)
TYO: 6501
IoT Solutions
The Internet of Things (IoT) is the network of physical objects accessed through the Internet—essentially a "Connected Everything Platform." These objects contain embedded technology to interact with internal states or the external environment. When objects can sense and communicate, it changes how and where decisions are made, and who makes them.
IoT is connecting new places—such as manufacturing floors, energy grids, healthcare facilities, and transportation systems—to the Internet. When an object can represent itself digitally, it can be controlled from anywhere. This connectivity means more data, gathered from more places, with more ways to: increase efficiency, innovate in product development, increase asset utilization, enhance the customer experience, streamline the supply chain, and improve safety and security.
Hitachi Consulting helps apply IoT solutions to drive business value, ultimately allowing companies to be IoT innovators and become an "Enterprise of Things." Companies can learn more about Hitachi Consulting's products, solutions and expertise and how they leverage the diverse product portfolio of Hitachi to help enterprises quickly get value out of IoT capabilities.
IoT is connecting new places—such as manufacturing floors, energy grids, healthcare facilities, and transportation systems—to the Internet. When an object can represent itself digitally, it can be controlled from anywhere. This connectivity means more data, gathered from more places, with more ways to: increase efficiency, innovate in product development, increase asset utilization, enhance the customer experience, streamline the supply chain, and improve safety and security.
Hitachi Consulting helps apply IoT solutions to drive business value, ultimately allowing companies to be IoT innovators and become an "Enterprise of Things." Companies can learn more about Hitachi Consulting's products, solutions and expertise and how they leverage the diverse product portfolio of Hitachi to help enterprises quickly get value out of IoT capabilities.
Key Customers
BMW, Cortal Consors, Die Mobiliar
Subsidiary
IoT Snapshot
Hitachi is a provider of Industrial IoT infrastructure as a service (iaas), platform as a service (paas), application infrastructure and middleware, analytics and modeling, cybersecurity and privacy, and drones technologies, and also active in the chemicals, construction and infrastructure, electrical grids, equipment and machinery, finance and insurance, healthcare and hospitals, oil and gas, renewable energy, retail, transportation, and utilities industries.
Technologies
Infrastructure as a Service (IaaS)
Cloud Databases
Hybrid Cloud
Private Cloud
Public Cloud
Cloud Computing
Cloud Storage Services
Analytics & Modeling
Big Data Analytics
Data Mining
Machine Learning
Predictive Analytics
Process Analytics
Platform as a Service (PaaS)
Application Development Platforms
Connectivity Platforms
Data Management Platforms
Use Cases
Functional Areas
Industries
Services
Technology Stack
Hitachi’s Technology Stack maps Hitachi’s participation in the infrastructure as a service (iaas), platform as a service (paas), application infrastructure and middleware, analytics and modeling, cybersecurity and privacy, and drones IoT Technology stack.
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Devices Layer
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Edge Layer
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Cloud Layer
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Application Layer
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Supporting Technologies
Technological Capability:
None
Minor
Moderate
Strong
Case Studies.
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Case Study
IIC - Factory Automation Platform as a Service (FA-PAAS) Testbed
In recent years, amid increasingly intense global competition in the manufacturing industry, there has been a growing demand for more rapid product development and market introduction, quality improvements and shorter lead times in order to quickly respond to the rapidly changing market environments and management environments through the introduction of new technologies and collaborations between companies. In this backdrop, there has been a growing expectation for overall optimization that uses data related to manufacturing in the increasingly global supply chain to connect the front lines of manufacturing with management, suppliers, and customers. This in turn has given rise to a need for secure connections between a variety of devices in FA environment and cutting-edge IT services (e.g., Big Data and the cloud) and for the accelerated development of applications in the field of next-generation factories connecting business-to-business (B2B) applications unleashing real economic value to effectively compete in the global marketplace.
Case Study
Wind turbines using digital technology
Issues involved in expanding commercialization of wind powerIn 2015, the worldwide capacity of renewable energy facilities exceeded that of coal-fired power.*1 With the aim of creating a low-carbon society, in July 2012, Japan put into effect the feed-in tariff scheme for renewable energy, stimulating the construction of solar and wind farms. In 2016, the full liberalization of the electrical retail business resulted in an increasing number of companies planning either to enter the power generation field or to expand their business. These market conditions engendered a need for the development, design, manufacturing, and sales of wind turbines optimized for Japan's environmental conditions. Utilities considering entering the field of wind power also sought assistance in the streamlining of maintenance and other such business operations.
Case Study
Predictive maintenance of medical devices based on years of experience and advan
Failure prediction by human operators requires advanced skills, and the limited number of experts cannot monitor all MRI systems around the world. "Corrective maintenance" for repairs after breakdowns has also become inevitable.
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