Adoption of 3D Printing in the World

The 3D printing plastic market is forecast based on two scenarios as its growth is primarily based on the adoption of 3D printing technology by end-use industries. Scenario one represents comparatively normal growth whereas scenario two projects exponential growth. Scenario one predicts a comparatively normal growth of USD 692.2 Million by 2020, at a CAGR of 25.7% from 2015 to 2020, whereas scenario two predicts market to reach USD 822.7 Million by 2020, at a CAGR of 34.6% from 2017 to 2020.

http://www.prnewswire.co.in/news-releases/3d-printing-plastic-market-worth-6922-million-usd-by-2020-572533831.html



The report "3D Printing Automotive Market Applications by Technology (SLA, SLS, EBM, FDM, EBM, LOM, 3DIP), Material (Metals, Polymers), Application (Prototyping & Tooling, R&D, Manufacturing), and by Region - Global Trends and Forecast to 2020" is published by MarketsandMarkets. The 3D Printing Automotive Market is estimated to be USD 482.27 Million in 2015, and is projected to reach USD 1.56 Billion by 2020, growing at a CAGR of 26.58%.
http://www.prnewswire.com/news-releases/3d-printing-automotive-market-application-worth-156-billion-usd-by-2020-528043771.html


Full Color Comes to Consumer 3D Printing With the Mcor ARKe
http://in.pcmag.com/3d-printer-reviews/98938/news/full-color-comes-to-consumer-3d-printing-with-the


3D printing of medical devices reaches peak hype: Gartner
Aug 2015
http://www.firstpost.com/business/3d-printing-of-medical-devices-reaches-peak-hype-gartner-2407060.html

Adoption of Big Data in USA

The fourth annual Big Data Executive Survey was conducted by NewVantage Partners.

It revealed that that reducing time-to-insight rather than saving money is the primary driver for their Big Data business investment.

The survey was conducted in November and December 2015. It was  published on January 11, 2016,
The survey confirms that Fortune 1000 firms believe that Big Data will deliver competitive advantage by enabling their firms to act faster when it comes to analyzing data, gaining insights, making critical decisions, and bringing new capabilities to market.



The fourth survey reveals that, it has taken only four short years for Big Data to assert itself as an essential component of the corporate practice. Among the Fortune 1000 firms surveyed by NewVantage, 62.5% reported having Big Data initiatives in  the enterprise — nearly double the 31.4% of firms at this stage in 2013. While only 5.4% of firms reported Big Data investments in excess of $50 million in 2014, the number of firms that project investments in Big Data of greater than $50 million leaps to 26.8% by 2017.  For the first time, a majority of firms (54%) reports having appointed a Chief Data Officer, up from just 12% in 2012.

http://sloanreview.mit.edu/article/how-time-to-insight-is-driving-big-data-business-investment/


TCS 2015 Survey

THE INTERNET OFTHINGS A Manufacturing Industry Perspective

The manufacturing industry leads the way as an early adopter of the Internet of Things (IoT). The respondents in the survey have an annual revenue of $10 bn or more. Of the 140 manufacturing companies TCS surveyed, $108 mn average spend per company in 2015 $120 mn average projected spend per company in 2018.  0.45% revenue is spent on the IoT initiatives in 2015.
http://fortune.com/2015/07/27/tata-internet-of-things/


26 companies are planning #1 billion investment/expenditure in IoT systems in 2016. GE is one of them.

Reasons for the Low Usage of Scheduling Software - Research Study - Sandra Yveborg

Reasons for the Low Usage of Scheduling Software and the Difference in Production Performance Between Users and Nonusers of Scheduling Software from a Lean Manufacturing Perspective

Front Cover
Sandra Yveborg
ProQuest, 2008 - 153 pages



In the research, it was also found that companies using scheduling software have higher utilization rates of equipment, shorter lead times for paper storage, and a higher percentage of short makereadies out of the total number of makreadies. Nonusers of scheduling software have shorter throughput time and shorter waiting time for a job between preflighting and platemaking, between platemaking and plate mounting, and between completed printing and the first postpress operation. In general, the scheduling software users in the study are more homogeneous as a group in performance, whereas the nonusers are more diverse in performance, with a relatively high percentage performing at a very low or very high level.

https://books.google.co.in/books?id=opMBJrq_QMIC