The 1999 Semiconductor Industry Association (SIA) International Technology Roadmap for Semiconductors (ITRS) identifies 'Equipment Modeling' as first in a list of 'Technology Requirements' and states that 'the drivers for equipment modeling are equipment design, process control, . . . ' The ITRS indicates that continuing research is needed to obtain experimental data for 'transport and thermal constants.' This Project will generate transport and thermodynamic property data for the gases used in semiconductor processing. The data will be useful for equipment modeling in chemical vapor deposition (CVD) processes and the data will also provide a rational basis for the calibration of mass flow controllers (MFCs) used to meter process gases. NIST is measuring the thermophysical properties of the process gases, the 'surrogate' gases, and binary mixtures of process and carrier gases. The process gases are used in CVD and the surrogate gases are used to calibrate MFCs. The results will be disseminated in this data base providing the heat capacity, thermal conductivity, viscosity, and the virial coefficients for the virial equation of state providing the pressure-density-temperature relation for the process gases.

Graph and download economic data for Producer Price Index by Industry: Semiconductor and Other Electronic Component Manufacturing (PCU33443344) from Dec 1984 to May 2025 about semiconductors, electronic components, electronics, manufacturing, PPI, industry, inflation, price index, indexes, price, and USA.

In 2024, semiconductor sales were expected to reach ****** billion U.S. dollars worldwide. Forecasts for 2025 suggest the market will grow by **** percent to ****** billion U.S. dollars. Semiconductor market Semiconductors are an important component of many commonly used electronic devices including smartphones, tablets, and PCs. Notable semiconductor chip makers include Intel and Samsung Electronics, with Intel generating **** billion U.S. dollars and Samsung generating **** billion U.S. dollars in semiconductor revenue in 2023, placing them among the largest companies in terms of semiconductor industry revenues. Market opportunities Smartphones are expected to command a significant part of the semiconductor market going forward, especially as these devices become more advanced and able to support technologies such as augmented reality, virtual reality, 5G, and artificial intelligence. ​Semiconductors for use in servers and data centers are set to become an even more important opportunity, with semiconductor innovation required to support cloud data centers and the rise in edge computing.

China Semiconductor: Average Number of Employees for the year data was reported at 133.000 Person th in 2017. This records a decrease from the previous number of 140.000 Person th for 2016. China Semiconductor: Average Number of Employees for the year data is updated yearly, averaging 90.469 Person th from Dec 1996 (Median) to 2017, with 19 observations. The data reached an all-time high of 140.000 Person th in 2016 and a record low of 55.650 Person th in 2000. China Semiconductor: Average Number of Employees for the year data remains active status in CEIC and is reported by Ministry of Industry and Information Technology. The data is categorized under China Premium Database’s Electronic Sector – Table CN.RFK: Electronic Mfg Industry: Electronic Appliance: Semiconductor.

China Import: Diode & Similar Semiconductor data was reported at 2.180 USD bn in Mar 2025. This records an increase from the previous number of 1.591 USD bn for Feb 2025. China Import: Diode & Similar Semiconductor data is updated monthly, averaging 1.064 USD bn from Jan 1993 (Median) to Mar 2025, with 387 observations. The data reached an all-time high of 2.799 USD bn in Dec 2015 and a record low of 6.920 USD mn in Jan 1993. China Import: Diode & Similar Semiconductor data remains active status in CEIC and is reported by General Administration of Customs. The data is categorized under Global Database’s China – Table CN.JA: USD: Import by Major Commodity: Value.

5 categorical machine and product attributes and 11 numerical attributes. The dataset contains 13186 observations.

This time series represents the global semiconductor revenue within the data processing electronics segment from 2014 through 2018. It is expected that, by 2018, around 4.3 billion U.S. dollars of semiconductor revenue will be generated from the data processing electronics segment.

Abstract The semiconductor industry is constantly searching for new ways to increase the rate of both process development and yield learning. As more data is being collected and stored throughout the chip manufacturing process, it has become increasingly more difficult to analyze yield signals using traditional statistical methods. Most of the serious yield issues manifest themselves as non-random electrical failure maps. Our semi-supervised fault detection framework has elements of Spatial Signature Analysis (SSA) to capture yield signals for very large datasets without losing the critical details typically involved with summarization techniques. It includes signature detection, de-noising, clustering, and purification that allow one to create a true spatial response metric of the yield issue. Once this has been accomplished, one can load process data to join with the spatial response and invoke customized rule induction algorithms that generate a set of hypotheses - likely process causes for a specific spatial target response. The framework has been successfully used at Intel and represents an example of the growing influence of modern statistical learning in the semiconductor industry. Speaker: Dr. Eugene Tuv, Intel Dr. Eugene Tuv is a Senior Staff Research Scientist in the Logic Technology Department at Intel. His research interests include supervised and unsupervised non-parametric machine learning with massive heterogeneous data. Prior to Intel he worked as a research scientist in the Institute of Nuclear Research, Ukrainian Academy of Science. He holds postgraduate degrees in Mathematics and Applied Statistics.

A Materials Database of Semiconductor Band Gap Experimental Values Auto-generated Using ChemDataExtractor

Imports of Semiconductors in the United States decreased to 5994.28 USD Million in February from 6525.82 USD Million in January of 2024. This dataset includes a chart with historical data for the United States Imports of Semiconductors.

Industry Revenue: Integrated Circuit: Manufacture: Foundry data was reported at 326.300 NTD bn in Sep 2018. This records an increase from the previous number of 298.700 NTD bn for Jun 2018. Industry Revenue: Integrated Circuit: Manufacture: Foundry data is updated quarterly, averaging 164.900 NTD bn from Mar 2006 (Median) to Sep 2018, with 51 observations. The data reached an all-time high of 343.000 NTD bn in Dec 2017 and a record low of 53.800 NTD bn in Mar 2009. Industry Revenue: Integrated Circuit: Manufacture: Foundry data remains active status in CEIC and is reported by Taiwan Semiconductor Industry Association. The data is categorized under Global Database’s Taiwan – Table TW.RF011: Integrated Circuit Industry: Revenue: Taiwan Semiconductor Industry Association.

Big Data Analytics in Semiconductor and Electronics is predicted to reach USD 50.88 billion by 2030 with a CAGR of 9.7%%

Gain in-depth insights into Big Data Analytics In Semiconductor Electronics Market Report from Market Research Intellect, valued at USD 5.2 billion in 2024, and projected to grow to USD 12.9 billion by 2033 with a CAGR of 10.5% from 2026 to 2033.

This collection portal provides finding aids for the CHIPS Metrology Exchange to Innovate for Semiconductors (METIS) digital assets including data, code, and a variety of resources. It spans multiple discipline areas: Materials Research, Semiconductors, Simulations, Microelectronics, and will evolve in alignment with the CHIPS Metrology program. In addition to NIST physical reference materials, these digital assets support commercial industry and partner laboratories validation of their analytical methods. The collection data is curated to promote provenance and traceability through use of standards and best practices in data driven systems.

253378 Global exporters importers export import shipment records of Semiconductor chip with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

China Semiconductor: Revenue data was reported at 124,830.000 RMB mn in 2017. This records an increase from the previous number of 110,900.000 RMB mn for 2016. China Semiconductor: Revenue data is updated yearly, averaging 36,012.480 RMB mn from Dec 1995 (Median) to 2017, with 23 observations. The data reached an all-time high of 124,830.000 RMB mn in 2017 and a record low of 2,848.127 RMB mn in 1996. China Semiconductor: Revenue data remains active status in CEIC and is reported by Ministry of Industry and Information Technology. The data is categorized under China Premium Database’s Electronic Sector – Table CN.RFK: Electronic Mfg Industry: Electronic Appliance: Semiconductor.

50 Global import shipment records of Semiconductor Component with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Global Big Data Analytics In Semiconductor And Electronics market size is expected to reach $33.54 billion by 2029 at 8.9%, segmented as by software, data management software, data visualization software, analytics software (predictive analytics

286 Global import shipment records of Semiconductor Chip with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

The Big Data Analytics market within the semiconductor and electronics industry is experiencing robust growth, driven by the increasing complexity of chip design and manufacturing processes, the need for predictive maintenance, and the rising demand for advanced materials. The market's expansion is fueled by the adoption of sophisticated analytical techniques to optimize yield, reduce defects, and accelerate time-to-market. Key players like Amazon Web Services, IBM, and Microsoft are leveraging their cloud platforms to offer scalable and cost-effective solutions for data storage, processing, and analysis, further stimulating market growth. The integration of AI and machine learning into big data analytics solutions is also a significant trend, enabling predictive modeling and real-time insights for improved decision-making across the semiconductor value chain. While the high cost of implementation and the need for specialized expertise pose challenges, the long-term benefits of improved efficiency, reduced waste, and accelerated innovation outweigh these limitations. We estimate the market size to be approximately $10 billion in 2025, growing at a Compound Annual Growth Rate (CAGR) of 15% through 2033. This projection reflects the ongoing digital transformation across the electronics industry and the increasing reliance on data-driven strategies. This growth is further segmented by the adoption of different analytical techniques. The demand for advanced process control (APC) solutions using big data analytics is increasing significantly, particularly among leading semiconductor manufacturers seeking to improve yield and reduce manufacturing costs. Similarly, the use of big data for predictive maintenance is gaining traction, allowing for proactive identification and mitigation of equipment failures. Geographical distribution shows a strong concentration in North America and Asia, driven by the presence of major semiconductor manufacturers and a robust ecosystem of technology providers. However, growth is expected across all regions as companies in the semiconductor and electronics industry increasingly recognize the strategic importance of big data analytics. This continuous innovation and strategic partnerships within the sector will drive the future growth of the Big Data Analytics market in this space.