Business Industry Reports Research has recently announced a report on Global Fog Computing for Industrial Automation Market based on the Service Industry. The Fog Computing for Industrial Automation Market report emphasizes various key aspects, which include growth drivers, restraints, opportunities and recent market trends for the forecast period 2020-2024.
Overview of Global Fog Computing for Industrial Automation Market:
Fog computing is designed for data-dense, high-performance computing, high-stakes environments. Fog is an emerging, distributed architecture that bridges the continuum between cloud and connected devices that doesn’t require persistent cloud connectivity in the field and factory. Fog works by selectively moving compute, storage, communication, control, and decision making closer to IoT sensors and actuators, where the data is generated and used. It augments, not replaces, investments in the cloud to enable an efficient, cost-effective, secure, and constructive use of the IIoT in manufacturing environments. Fog computing is architecture approach that provides non-functional knowledge to enable IoIT and provides Fog Computing for Industrial Automation.
The report contains a complete product overview and its scope in the market to define the key terms and provide the clients a holistic idea of the market and its tendency. It comprehensively evaluates the global Fog Computing for Industrial Automation market with different perspectives for the purpose of providing a detailed, informative, and accurate analysis of regional growth, competition, market segmentation, and other important aspects.
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Growth in the historic period resulted from economic growth in emerging markets, the rise in awareness of the benefits and developed nations towards Fog Computing for Industrial Automation costs and an increase in the number of computing architecture approach that provides non-functional knowledge for industries.
Product Type Segmentation:
The Fog Computing for Industrial Automation market have different product type such as Hardware and Software. Fog Computing for Industrial Automation market product type gives computing architecture approach that provides high-performance computing for industrial automation.
Industry Segmentation:
Increasing instances across various sectors such as Transportation & Logistics, Smart Grid and Network Sensors are raising the need of industrial automation institutes, thereby raising the demand for Fog Computing for Industrial Automation market. This help in the profitable growth of the Global Fog Computing for Industrial Automation market in upcoming year.
Segmentation by Regions:
The Fog Computing for Industrial Automation market in North America has created computing architecture approach that provides high-performance computing for industrial automation to help automation industries in the world. It was followed by Western Europe, China, Japan, Southeast Asia, India and Central & South America regions. Asia Pacific is expected to record higher growth rate in Fog Computing for Industrial Automation Market during the forecast year.
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Top Leading Key Manufacturers are: Hitachi, Microsoft Corporation, Nebbiolo, Cisco Systems, IBM, Intel, Macchina, VIMOC, Adlink (PrismTech), RTI, Crosser Technologies, AppFog, SONM, Viatech. New product launches and continuous technological innovations are the key strategies adopted by the major players.
Top Industry News:
Hitachi Automotive Systems acquires German automotive device software developer seneos GmbH on April 16, 2020 --- Hitachi Automotive Systems, Ltd., a wholly owned subsidiary of Hitachi, Ltd, today announced that the company completed the acquisition of all shares of seneos GmbH ("seneos") on April 15, 2020. Through this transaction, seneos, a German automotive device software developer, became a wholly owned subsidiary of Hitachi Automotive Systems.
Hitachi Automotive Systems supplies products and systems in growth areas such as electrification and is expanding its customer base of European automakers, growing sales of new products and solutions. seneos is a software development system engineering service company focused primarily on the automotive components sector and boasts an impressive track record in software applications and designs for mainly European automakers. Moving forward, Hitachi Automotive Systems can harness the software development capabilities that seneos has built in Europe, enhance the competitiveness of its products and systems, and further grow sales. seneos' software design and application development capabilities will be leveraged throughout its products and systems globally to enable a faster response to automaker needs and to accelerate development of advanced vehicle solutions with integrated control systems.
As modern automobiles become increasingly sophisticated with advanced features such as electrification, autonomous driving, and connectivity, the number of software applications used per vehicle has been increasing. Today, an automobile has 10 times or more lines of code than an airplane*. The acquisition of seneos will reinforce Hitachi Automotive Systems' front-end engineering capabilities to strengthen development of software for auto parts. The acquisition will also improve the Company's ability to develop complex software in accordance with local business needs, standardized software architectures, and software development processes.
Hitachi Automotive Systems will continue to offer solutions to societal issues through technological innovation by leveraging group synergies across powertrain, advanced chassis, autonomous driving and advanced driver assistance fields. The company will continue to contribute to realizing a sustainable society where people can live healthy, safe and comfortable lifestyles.
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Major Points in Table of Contents:
1 Fog Computing for Industrial Automation Product Definition
2 Global Fog Computing for Industrial Automation Market Manufacturer Share and Market Overview
2.1 Global Manufacturer Fog Computing for Industrial Automation Shipments
2.2 Global Manufacturer Fog Computing for Industrial Automation Business Revenue
2.3 Global Fog Computing for Industrial Automation Market Overview
3 Manufacturer Fog Computing for Industrial Automation Business Introduction
3.1 Hitachi Fog Computing for Industrial Automation Business Introduction
3.1.1 Hitachi Fog Computing for Industrial Automation Shipments, Price, Revenue and Gross profit 2014-2019
3.1.2 Hitachi Fog Computing for Industrial Automation Business Distribution by Region
3.1.3 Hitachi Interview Record
3.1.4 Hitachi Fog Computing for Industrial Automation Business Profile
3.1.5 Hitachi Fog Computing for Industrial Automation Product Specification
3.2 Microsoft Corporation Fog Computing for Industrial Automation Business Introduction
3.2.1 Microsoft Corporation Fog Computing for Industrial Automation Shipments, Price, Revenue and Gross profit 2014-2019
3.2.2 Microsoft Corporation Fog Computing for Industrial Automation Business Distribution by Region
3.2.3 Interview Record
3.2.4 Microsoft Corporation Fog Computing for Industrial Automation Business Overview
3.2.5 Microsoft Corporation Fog Computing for Industrial Automation Product Specification
3.3 Nebbiolo Fog Computing for Industrial Automation Business Introduction
3.3.1 Nebbiolo Fog Computing for Industrial Automation Shipments, Price, Revenue and Gross profit 2014-2019
3.3.2 Nebbiolo Fog Computing for Industrial Automation Business Distribution by Region
3.3.3 Interview Record
3.3.4 Nebbiolo Fog Computing for Industrial Automation Business Overview
3.3.5 Nebbiolo Fog Computing for Industrial Automation Product Specification
3.4 Cisco Systems Fog Computing for Industrial Automation Business Introduction
3.5 IBM Fog Computing for Industrial Automation Business Introduction
3.6 Intel Fog Computing for Industrial Automation Business Introduction
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