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【調査レポートセット】ネットワーク接続製造業の統合:製造業の産業用モノのインターネット(IIoT)、データ解析、人工知能(AI) 2017-2022年

Connected Manufacturing Convergence: IIoT, Data Analytics, and Artificial Intelligence in Manufacturing 2017 - 2022

 

出版社 出版日電子媒体価格ページ数
Mind Commerce
マインドコマース
2017年6月 US$ 2,995
シングルユーザライセンス
546p

サマリー

米国調査会社マインドコマース(Mind Commerce)の下記の調査レポートのセット販売です。たいへんお得な価格設定です。


 

Overview:

IIoT is poised to transform many industry verticals including healthcare, retail, automotive, and transport. Initially focusing on improving existing processes and augmented current infrastructure, IIoT will evolve to encompass next generation methods and procedures.  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.

This research evaluates IIoT technologies, companies, applications, services, and solutions. Report forecasts include overall global and regional IIoT outlook as well as IIoT by industry vertical, software, hardware, and services for the period 2017 to 2022.   This research also 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 includes forecasts for each technology area as well as the global and regional outlook for manufacturing from 2017 to 2022.  The research also assesses emerging AI business models, leading companies, and solutions. The report also provides forecasting for unit growth and revenue from 2017 – 2022 associated with AI supported predictive analytics solutions.

Target Audience:

  • Internet of Things companies
  • Artificial Intelligence companies
  • Big Data and analytics companies
  • Robotics and automation companies
  • Cloud and Internet of Things companies
  • Investment firms focused on automation
  • Product and service providers of all types
  • Governments and NGO R&D organizations


 

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