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Last Updated: Apr 25, 2025 | Study Period: 2024-2030
Asset managers' current practices and future plans are likely to be greatly influenced by the strength and impact of quantum computing. The security and cryptographic methods behind ATM transactions, online banking, remote working, and crypto currencies could be compromised by quantum computers.
IT systems will be under a lot of pressure as the global talent shortage continues to disrupt the data and technology sectors because of its capacity to answer numerous, important mathematical issues that underlie cryptography algorithms but that we are unable to address today.
The Global quantum computing in asset management market accounted for $XX Billion in 2023 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2024 to 2030.
Asset management companies are the early adopters of quantum, as incorporating quantum calculations into their operations results in minimally increased overhead costs. However, business applications aren't far behind.
The quantum algorithms developed by the Spanish company Multiverse Computing have been used in effective pilot projects with multinational clients like BASF and Bosch that demonstrate how they can nearly quadruple the number of production-line defects that are caught.
Algorithms for quantum deep learning are entirely distinct from those used in traditional deep learning. They are much more adept at extracting the crucial correlations from a large amount of data because they can teach them more quickly and subject them to more experiments.
The "qubits" that power quantum computing are tiny subatomic particles that can exist in some percentage of both states simultaneously, similar to a coin spinning in midair, in contrast to traditional computers that process information using binary "bits" that are switches that are either on or off, denoted as 1s and 0s.
The increase in computing capacity caused by the transition from dual to multivariate processing is exponential. Potentially, complex issues that currently take years to solve on the most powerful supercomputer could be resolved in a matter of seconds.
Future quantum computers might open previously unimaginable mathematical and scientific frontiers, assisting in the resolution of existential problems like climate change and agricultural security. We are currently at the threshold of a quantum transformation thanks to a flurry of recent scientific advances and government funding.
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, 2024-2030 |
18 | Market Segmentation, Dynamics and Forecast by Product Type, 2024-2030 |
19 | Market Segmentation, Dynamics and Forecast by Application, 2024-2030 |
20 | Market Segmentation, Dynamics and Forecast by End use, 2024-2030 |
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 |