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Technical Textiles and Recent Developments
Published in Asis Patnaik, Sweta Patnaik, Fibres to Smart Textiles, 2019
The global technical textile market is estimated around US$ 165.51 billion in 2017 and is expected to reach around US$ 203.7 billion by 2022. Since 2017, the compound annual growth rate (CAGR) is at 5.89%. It is expected that the global market will grow at 4.9% CAGR from 2018 to 2023 (www.textilematex.com 2018). In another report, the global technical textile market is expected to reach $260.3 billion by 2027 from $166 billion in 2017 with a CAGR of 4.6% from 2017 to 2027 (Technical Textiles Market 2018). In terms of volume, the global market demand for technical textiles was around 26.6 million tons in 2014. It is forecasted that, in 2022, the market demand will be around 35.5 million tons with a forecasted CAGR of 3.7% (Market Demand of Technical Textiles 2017). Another report suggested that demand for technical textiles was around 34 million tons in 2017 with a forecasted growth of 57 million tons by the end of 2027 (Technical Textiles Market 2018). The CAGR for the forecasted period (2017–2027) will be around 5.3%. Major growths are expected in mobiltech, bulidtech and medtech segments (Credence Research 2018).
The Driving Forces Behind Moore’s Law and Its Impact on Technology
Published in Lambrechts Wynand, Sinha Saurabh, Abdallah Jassem, Prinsloo Jaco, Extending Moore’s Law through Advanced Semiconductor Design and Processing Techniques, 2018
Lambrechts Wynand, Sinha Saurabh, Abdallah Jassem
CAGR is therefore an effective measure of return on investment. The CAGR (1.20) of the semiconductor industry had dropped to below 5% by the late 1990s and has followed a similar trend up to modern investments. The electronics industry is hence currently in a state of flux, and many assumptions used to extrapolate Moore’s law into the future will consequently need to be re-examined going forward. The economic factors limiting the continued advancement of computing performance at the rates predicted by Moore’s law are discussed in greater detail in a later chapter.
The basic theory of interest
Published in John Vail Farr, Isaac Faber, Engineering Economics of Life Cycle Cost Analysis, 2018
Tools like the CAGR are excellent for retroactively evaluating how well an investment performed but provide little information regarding what interest rate should be used when projects are forward-looking. To answer the forward-looking concern, a better understanding of what drives interest rates at the decision-maker level is needed. As shown in Figure 4.1, the value of the interest is driven by two competing forces: purchasing power and earning power.
Toward green electrical discharge machining (EDM): state of art and outlook
Published in Machining Science and Technology, 2023
Israa Dheyaa Khalaf Alrubaye, Gualtiero Fantoni
The TRL has been used for evaluating the EDM enhancement technologies depending on some indications found in the papers especially in the case study section. Moreover, for each technology we evaluated its trend on the Scopus database for the last ten years, and calculated the percentage of the research studies for each technology over the total number of studies (767 studies) during the same period, and the CAGR (Compound Annual Growth Rate). The CAGR is one of the most significant indicators used to evaluate the technology by showing the smoothed growth rate of the technology over a given period.