Life sciences supply chain technologies by function 2018| �ֲ��ýapp��°汾

Distribution of digital technologies used in life science supply chains as of 2018, by function

Technologies, tools, and platforms	Product design and development	Planning	Sourcing and procurement	Order management	Warehouse management	Manufacturing	Transportation	Service management
Custom manufacturing	19%	16%	29%	13%	31%	31%	19%	16%
3D printing	32%	24%	15%	28%	27%	15%	20%	16%
Augmented reality	25%	29%	23%	20%	21%	21%	16%	19%
Virtual reality	17%	21%	24%	24%	21%	19%	19%	20%
Robotics	15%	25%	24%	31%	21%	27%	27%	27%
Big data analytics	17%	27%	29%	31%	24%	28%	27%	25%
Blockchain	12%	25%	29%	25%	20%	20%	21%	20%
Autonomous vehicles	19%	33%	17%	25%	31%	20%	44%	17%
Machine learning/deep learning	31%	17%	32%	27%	27%	28%	28%	21%
Cloud	27%	35%	31%	21%	31%	20%	32%	19%
Process automation	33%	20%	23%	31%	20%	36%	19%	23%
Cognitive computing	19%	28%	25%	29%	21%	29%	23%	17%
IoT and connected devices	24%	19%	29%	25%	27%	29%	23%	35%
Cyber security	23%	37%	24%	21%	17%	25%	27%	23%
Social media	24%	21%	32%	27%	20%	20%	21%	24%
Industrial IoT platforms	32%	35%	23%	23%	25%	29%	23%	25%
None of the above	1%	1%	-	-	1%	1%	1%	1%

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Release date

June 2018

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Region

Worldwide, Canada, Germany, Ireland, Switzerland, United Kingdom, United States

Survey time period

early 2018

Number of respondents

900 respondents

Special properties

C-level operating, supply chain and procurement officers and senior/executive vice presidents of manufacturing and supply chain

Method of interview

Online interview

Citation formats

This statistic depicts the distribution of digital technologies, tools, and platforms usage among life sciences supply chains in 2018, by function. According to the survey, in life sciences' product design and development, 31 percent deployed machine learning/deep learning at that time.