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Last Updated: Apr 25, 2025 | Study Period: 2023-2030
Superconducting Quantum Interference Devices (SQUIDs) are a type of superconducting device designed to measure very small magnetic fields. They are made from superconducting materials, such as niobium or aluminum, which allow for the transfer of electrical current with no resistance.
SQUIDs are very sensitive and are capable of detecting and measuring extremely small changes in magnetic fields. This makes them useful for a wide variety of applications, such as medical imaging, geophysical surveys, and quantum computing.
The basic structure of a SQUID consists of a loop of superconducting material and two Josephson junctions. The Josephson junctions are made of two different superconductors separated by a thin insulator.
When a current is applied to the SQUID, the junctions form a âsuperconducting quantum interferenceâ, which allows the SQUID to detect changes in the magnetic field.Because of their high sensitivity, SQUIDs are used to measure magnetic fields in a wide range of applications.
For example, they can be used to detect extremely weak magnetic fields from the brain, allowing for the imaging of brain activity. They are also used in geophysical surveys to measure the magnetic field of the Earth. In addition, SQUIDs are used in quantum computing to measure the spin of qubits.
SQUIDs are also used in a variety of other applications, including cryogenics, nanotechnology, and materials science. They are an essential tool for researchers who need to measure extremely small changes in magnetic fields.
The Global superconducting quantum interference device market accounted for $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2023 to 2030.
As the most sensitive flux and magnetic field sensors, superconducting quantum interference devices (SQUID) can detect energy differences between a few Plank constants per band unit.
As for other magnetic sensors that are employed as magnetometers, like those based on induction coils, parallel or orthogonal fluxgate, the Hall effect, giant magnetoresistance, tunnel magnetoresistance, anisotropic magnetoresistance, and giant magnetoimpedance, only the atomic magnetometers are able to match the SQUID magnetometers in terms of sensitivity.
These magnetometers achieve 7â10 fT per band unit of magnetic field sensitivity by taking advantage of the quantum characteristics of atoms. It is not necessary to chill them with liquid helium below the critical temperature of superconductors, despite their sensitivity being lower than that of SQUID magnetometers.
In practical terms, a SQUID is a magnetic flux converter that produces a voltage with incredibly low magnetic flux noise. The magnetic field may be found by measuring the voltage across the SQUID and figuring out how big the ring is.
It goes without saying that a SQUID's sensitivity to a magnetic field increases with ring area. However, a significant increase in the superconducting ring's area is not feasible since the magnetic flux noise is directly linked to the ring's inductance. Therefore, if a SQUID device is to be utilised as a magnetometer, specific settings are needed to maximise the instrument's sensitivity to magnetic fields.
The most popular arrangement makes use of a superconducting flux transformer and includes a multiturn coil that is magnetically coupled to the SQUID ring in series with a pickup coil, which can be square or circular in shape.
An further option is to employ a multiloop arrangement, wherein sufficiently large loops are employed in parallel to reduce the SQUID's overall inductance. This keeps the effective area quite large while also preventing the sensor's effectiveness from being negatively impacted by the total inductance.
The Josephson junction insulating layer is realised by aluminium oxide, which results in low critical temperature (LTc) superconducting devices. The primary superconducting elements of the SQUID magnetometer are composed of niobium film.
Sl no | Topic |
1 | Market Segmentation |
2 | Scope of the report |
3 | Abbreviations |
4 | Research Methodology |
5 | Executive Summary |
6 | Introdauction |
7 | Insights from Industry stakeholders |
8 | Cost breakdown of Product by sub-components and average profit margin |
9 | Disruptive innovation in theIndustry |
10 | Technology trends in the Industry |
11 | Consumer trends in the industry |
12 | Recent Production Milestones |
13 | Component Manufacturing in US, EU and China |
14 | COVID-19 impact on overall market |
15 | COVID-19 impact on Production of components |
16 | COVID-19 impact on Point of sale |
17 | Market Segmentation, Dynamics and Forecast by Geography, 2023-2030 |
18 | Market Segmentation, Dynamics and Forecast by Product Type, 2023-2030 |
19 | Market Segmentation, Dynamics and Forecast by Application, 2023-2030 |
20 | Market Segmentation, Dynamics and Forecast by End use, 2023-2030 |
21 | Product installation rate by OEM, 2023 |
22 | Incline/Decline in Average B-2-B selling price in past 5 years |
23 | Competition from substitute products |
24 | Gross margin and average profitability of suppliers |
25 | New product development in past 12 months |
26 | M&A in past 12 months |
27 | Growth strategy of leading players |
28 | Market share of vendors, 2023 |
29 | Company Profiles |
30 | Unmet needs and opportunity for new suppliers |
31 | Conclusion |
32 | Appendix |