The blend of certain key advances are expected to significantly propel the Industry 4.0 unrest towards progressively more quick witted fabricating. Those innovations are Industrial IoT (IIoT), Data Analytics, and Artificial Intelligence. As far as center usefulness for Connected Manufacturing, IIoT gives the premise to interchanges, control, and robotized data catch.
The combination of certain key technologies are anticipated to substantially advance the Industry 4.0 revolution towards increasingly smarter manufacturing. Those technologies are Industrial IoT (IIoT), Data Analyt…cial Intelligence.
In terms of core functionality for Connected Manufacturing, IIoT provides the basis for communications, control, and automated data capture.
Data Analytics provides the means to process vast amounts of machine-generated and often unstructured data.
Accordingly, Big Data technologies and predictive analytics enable streamlining of industrial processes. AI technology provides the means to further automate decision making and to engage machine learning for ongoing efficiency and effectiveness improvements.
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Manufacturing data analytics platforms represent the fastest growth product segment by 2022 with a CAGR of +45%
This research evaluates the technologies, companies, and solutions involved in next generation manufacturing. The report assesses the impact of IIoT, Data Analytics, and AI on manufacturing efficiency and effectiveness.
The report also analyzes how these technologies will lead to optimizing manufacturing for product and service improvements, new revenue streams, and new market opportunities for product lifecycle management and customer relationship management. The report includes forecasts for each technology area as well as the global and regional outlook for manufacturing from 2017 to 2022.
Most prominent vendors in the market include Oracle Corporation ,IBM Corporation ,SAP SE (Germany),Hewlett Packard Enterprise Company ,Splunk Inc. ,Microsoft Corporation ,Evolven Software Inc.
,ExtraHop Networks Inc. ,VMware Inc.,Prelert Inc.
From an insight perspective, this research report has concentrated on different levels of analyses, industry analyses, market share of prevalent players, and organization profiles, which together comprise and discuss about the essential perspectives on the competitive scenario, developing and high-growth segments of the Global Industrial IoT, Data Analytics, And Artificial Intelligence In Connected Manufacturing Market, high-growth regions, countries, and their separate administrative policies, government activities, drivers, restrictions, and opportunities.
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The majority of players in the global Industrial IoT, Data Analytics, and Artificial Intelligence market are focusing towards product differentiation in order to stay ahead. Several key players are adopting collaborations and partnerships as go-to strategies to maintain their position in the market.
Besides this, players are also banking on unconventional production technologies, which is projected to unfold immense opportunities for the growth of the market. With the demand for healthy growth trajectory, the competitive rivalry in the market is likely to intensify in the near future.
Table of Contents
Global Industrial IoT, Data Analytics, and Artificial Intelligence Market Research Report
Chapter 1 Industrial IoT, Data Analytics, and Artificial Intelligence Market Overview
Chapter 2 Global Economic Impact on Industry
Chapter 3 Global Market Competition by Manufacturers
Chapter 4 Global Production, Revenue (Value) by Region
Chapter 5 Global Supply (Production), Consumption, Export, Import by Regions
Chapter 6 Global Production, Revenue (Value), Price Trend by Type
Chapter 7 Global Market Analysis by Application
Chapter 8 Manufacturing Cost Analysis
Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter 10 Marketing Strategy Analysis, Distributors/Traders
Chapter 11 Market Effect Factors Analysis
Chapter 12 Global Industrial IoT, Data Analytics, and Artificial Intelligence Market Forecast
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