{"id":112083,"date":"2017-04-25T19:01:46","date_gmt":"2017-04-25T19:01:46","guid":{"rendered":"http:\/\/www.abnewswire.com\/pressreleases\/?p=112083"},"modified":"2017-04-25T19:01:46","modified_gmt":"2017-04-25T19:01:46","slug":"global-industrial-iot-data-analytics-and-artificial-intelligence-market-analysis-share-trends-and-forecast-by-2022-market-research-report-2017","status":"publish","type":"post","link":"https:\/\/www.abnewswire.com\/pressreleases\/global-industrial-iot-data-analytics-and-artificial-intelligence-market-analysis-share-trends-and-forecast-by-2022-market-research-report-2017_112083.html","title":{"rendered":"Global Industrial IoT, Data Analytics, and Artificial Intelligence Market Analysis, Share, Trends and Forecast by 2022 – Market Research Report 2017"},"content":{"rendered":"
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“Orbis Research”<\/div>\n<\/div>\n<\/div>\n
OrbisResearch.com has published new research report on “Industrial IoT, Data Analytics, and Artificial Intelligence in Connect Manufacturing 2017-2022” to its database.<\/div>\n

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 Analytics, and Artificial Intelligence. In terms of core functionality for Connected Manufacturing, IIoT provides the basis for communications, control, and automated data capture.<\/p>\n

Browse the report: <\/strong>http:\/\/www.orbisresearch.com\/reports\/index\/industrial-iot-data-analytics-and-artificial-intelligence-in-connect-manufacturing-2017-2022<\/a><\/p>\n

Data Analytics provides the means to process vast amounts of machine-generated and often unstructured data. Accordingly, Big Data technologies and predictive analytics enable stream lining of industrial processes. AI technology provides the means to further automate decision making and to engage machine learning for ongoing efficiency and effectiveness improvements.<\/p>\n

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 life cycle 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.<\/p>\n

Request a sample of the report:<\/strong> http:\/\/www.orbisresearch.com\/contacts\/request-sample\/273179<\/a><\/p>\n

Select Report Findings:<\/strong>
North America will be the second largest market at $15.9 billion by 2022
Connected manufacturing Consulting services will be a $4 billion business by 2022
Europe will be the top revenue region with $19.6 billion by 2022 with Germany leading the region
Manufacturing data analytics platforms represent the fastest growth product segment by 2022 with a CAGR of 55.4%
Target Audience:<\/p>\n

IoT companies<\/strong>
Robotics companies
Manufacturing industry
Infrastructure providers
Cloud services companies
Network service providers<\/p>\n

Buy the report@<\/strong>http:\/\/www.orbisresearch.com\/contact\/purchase\/273179<\/a><\/p>\n

Major Points From Table Of Contents:<\/strong><\/p>\n

Introduction<\/p>\n

Executive Summary<\/p>\n

Overview<\/p>\n

Global Market for Connected Manufacturing<\/p>\n

Role of Technology in Connected Manufacturing<\/p>\n

Select Companies and Solutions<\/p>\n

List Of Tables:<\/strong><\/strong><\/p>\n

Figures<\/strong>
<\/strong><\/strong>Figure 1: Global Market for Connected Manufacturing
Figure 2: Connected Manufacturing Process Flow
Figure 3: Important Connected Manufacturing Applications
Figure 4: Consulting Services in Connected Manufacturing 2017 – 2022
Figure 5: Installation\/Expansion of Connectivity Systems in Connected Manufacturing 2017 – 2022
Figure 6: Sensor, Embedded Devices, and Wearables in Connected Manufacturing 2017 – 2022
Figure 7: Big Data and Analytics Framework for Manufacturing
Figure 8: Connected Manufacturing Data Analytics Platforms 2017 – 2022<\/p>\n

Tables<\/strong>
<\/strong><\/strong>Table 1: Global Connected Manufacturing Market
Table 2: End-User by Type of Product 2017 – 2022
Table 3: Consulting Services in Connected Manufacturing 2017 – 2022
Table 4: Installation\/Expansion of Connectivity Systems in Connected Manufacturing 2017 – 2022
Table 5: Sensor, Embedded Devices, and Wearables in Connected Manufacturing 2017 – 2022
Table 6: Regional Market for Connected Manufacturing 2017 – 2022
Table 7: End-user Revenue by Application Type 2017 – 2022
Table 8: Big Data in Connected Manufacturing 2017 – 2022<\/p>\n

About Us:<\/strong><\/p>\n

Orbis Research (orbisresearch.com) is a single point aid for all your market research requirements. We have vast database of reports from the leading publishers and authors across the globe. We specialize in delivering customized reports as per the requirements of our clients. We have complete information about our publishers and hence are sure about the accuracy of the industries and verticals of their specialization. This helps our clients to map their needs and we produce the perfect required market research study for our clients.<\/p>\n

 <\/p>\n

Media Contact<\/span>
Company Name:<\/strong> Orbis Research
Contact Person:<\/strong> Hector Costello
Email:<\/strong> sales@orbisresearch.com
Phone:<\/strong> +1 (214) 884-6817
Address:<\/strong>4144N Central Expressway, Suite 600
City:<\/strong> Dallas
State:<\/strong> Texas
Country:<\/strong> United States
Website:<\/strong> http:\/\/www.orbisresearch.com\/reports\/index\/industrial-iot-data-analytics-and-artificial-intelligence-in-connect-manufacturing-2017-2022<\/a><\/p>\n

<\/object><\/p>\n

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“Orbis Research” OrbisResearch.com has published new research report on “Industrial IoT, Data Analytics, and Artificial Intelligence in Connect Manufacturing 2017-2022” to its database. The combination of certain key technologies are anticipated to substantially advance the Industry 4.0 revolution towards increasingly … Continue reading →<\/span><\/a><\/p>\n","protected":false},"author":0,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[401],"tags":[],"class_list":["post-112083","post","type-post","status-publish","format-standard","hentry","category-Business"],"_links":{"self":[{"href":"https:\/\/www.abnewswire.com\/pressreleases\/wp-json\/wp\/v2\/posts\/112083","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.abnewswire.com\/pressreleases\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.abnewswire.com\/pressreleases\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/www.abnewswire.com\/pressreleases\/wp-json\/wp\/v2\/comments?post=112083"}],"version-history":[{"count":0,"href":"https:\/\/www.abnewswire.com\/pressreleases\/wp-json\/wp\/v2\/posts\/112083\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.abnewswire.com\/pressreleases\/wp-json\/wp\/v2\/media?parent=112083"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.abnewswire.com\/pressreleases\/wp-json\/wp\/v2\/categories?post=112083"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.abnewswire.com\/pressreleases\/wp-json\/wp\/v2\/tags?post=112083"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}