What happens when 3D printing becomes commoditized? Aren't we almost at that point already, in which case consolidating around that technology per se wouldn't seem to be a sustainable strategy. Rather, one would have to broaden (or maybe deepen)?
Wow, that's big news in this market. Thanks, Beth, for a very clear analysis. It will be interesting to see what happens in the higher end of the industry I've been writing about (to be covered in a December feature), i.e., the engineering-oriented, low-volume manufacturing area. Similar forces may be at work, and certainly there are similar drivers in terms of size and resources.
Rob: There aren't a whole lot of major players in this segment. The bigs one are Stratasys, Objet, 3D Systems, EOS, and Z Corp, that I know of, and that's straddling both the high-end rapid prototyping sector of the market and the lower end office systems.
I don't think we can say that it's reached a level of consolidation, but 3D Systems, in particular, has been on a buying spree, snapping up niche technologies and smaller vendors. This deal is a pretty big one in this space and from what the players and pundits say, it's all about the company trying to create some scale to grow to the next level. Very interesting, to say the least!
Nice story, Beth. You note that 3D Systems is on a buying spree. Are we seeing widespread consolidation in this market, or is this unique to 3D Systems? Also, where does this leave competition in this market?
According to a study by the National Institute of Standards and Technology, one of the factors in the collapse of the original World Trade Center towers on Sept. 11, 2001, was the reduction in the yield strength of the steel reinforcement as a result of the high temperatures of the fire and the loss of thermal insulation.
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Robots are getting more agile and automation systems are becoming more complex. Yet the most impressive development in robotics and automation is increased intelligence. Machines in automation are increasingly able to analyze huge amounts of data. They are often able to see, speak, even imitate patterns of human thinking. Researchers at European Automation
call this deep learning.
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