全球工业大数据解析  

Analysis on the Global Industrial Big Data

作　　者：曹磊[1] CAO Lei(Shanghai Library(Institute of Scientific and Technical Information of Shanghai),Shanghai 200031,China)

机构地区：[1]上海图书馆(上海科学技术情报研究所),上海200031

出　　处：《竞争情报》2020年第3期57-63,共7页Competitive Intelligence

摘　　要：工业大数据是大数据与工业领域交叉融合的产物,是未来工业转型升级的重要驱动力。工业大数据最早的概念源于麦肯锡全球研究院所揭示的大数据在制造业中的应用前景,发展至今不过10年。近年来,不少学者和机构展开了理论和应用上的探索,对工业大数据的潜在价值形成了共识。本文首先介绍工业大数据的起源、特征、定义和影响,其次对工业大数据的主要应用、重点企业和发达国家部署展开分析,最后就工业大数据未来进行展望。Industrial big data is the product of cross integration of big data and industrial fields,and it is also the main driving force for industrial transformation and upgrading in the future.The earliest concept of industrial big data originated from the application prospect of big data in manufacturing industry revealed by McKinsey Global Institute.It has only been 10 years since its development.In recent years,many scholars and institutions have launched theoretical and applied explorations and reached a consensus on the potential value of industrial big data.This paper first introduces the origin,characteristics,definition and influence of industrial big data,then analyzes the main applications,advanced companies and deployment in developed countries of industrial big data,and finally looks forward to the future of industrial big data.

关 键 词：工业大数据 工业互联网 工业4.0 智能制造 

分 类 号：F414[经济管理—产业经济] F49