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市場調査レポート
商品コード
1169968
製造業向けIoT:コネクティビティ、センサー、データ解析の市場展望と予測の動向(2022年~2031年)IoT in Manufacturing: Trends in Connectivity, Sensors, and Data Analytics Market Outlook and Forecast, 2022-2031 |
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製造業向けIoT:コネクティビティ、センサー、データ解析の市場展望と予測の動向(2022年~2031年) |
出版日: 2022年12月01日
発行: Guidehouse Insights
ページ情報: 英文 25 Pages; 23 Tables, Charts & Figures
納期: 即納可能
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製造業は、IIoT(産業用モノのインターネット)の典型的な使用事例といえます。製造業におけるIoT導入の主な促進要因は、エネルギー効率、作業者の安全性、機械の故障やダウンタイムを回避することによる生産性レベルの維持などを含む、コスト削減の必要性です。また、IoT技術は、工場がメーカーから機械を借り、メーカーが保守や修理を担当するHaaS(Hardware as a Service)のような、新しいビジネスモデルや働き方にもつながる可能性があります。
当レポートでは、製造業向けIoTについて調査し、市場概要、市場予測、企業プロファイルなどの情報を提供しています。
Other Notable IIoT Companies
Manufacturing is the quintessential use case for the Industrial Internet of Things. Production lines and industrial machines can see large jumps in productivity by adding internet connectivity and sensors to monitor production conditions, including temperature, humidity, noise, or vibrations. The insights generated by these sensors can be used to improve industrial processes, saving manufacturers money and increasing productivity.
Key drivers for IoT adoption in manufacturing include the need to cut costs, including via energy efficiency, worker safety, and maintaining productivity levels by avoiding machine breakdowns and downtime. IoT technology can also lead to new business models and ways of working, such as hardware as a service, in which a factory leases machinery from the manufacturer, which is responsible for maintenance and repairs.
This Guidehouse Insights Market Focus report discusses how IoT is being deployed in the manufacturing sector, focusing on uses for wide and local area networks for connectivity, sensors to capture and communicate conditions on the factory floor, and analytics to determine the optimal running of machines and when breakdowns are likely to occur. It provides forecasts for the expected investment in IoT in manufacturing by global region through 2031.
2.1.1.1 Remote monitoring and predictive maintenance
2.1.1.1.1 New business models
2.1.1.2 Location sensing and worker safety
2.1.2.1 Cost and ROI
2.1.2.2 Conservative approach to technology
2.1.2.3 Data security