Topological Quantum Computing Market Segmentation:
Application (Optimization, Machine Learning, Simulation)
The global topological quantum computing market is segmented and analyzed for demand and supply by application into optimization, machine learning, simulation, and others. Out of the four application of topological quantum computing, the machine learning segment is estimated to gain the largest market share over the projected time frame. The development of AI and ML technology has been significantly influenced by quantum computing. Topological quantum computing, a novel technology that processes data using the principles of quantum physics, has the potential to significantly speed up and improve the efficiency of machine learning in pharmaceutical industry, agriculture, BFSI, and others. The growth of the segment can be attributed to the higher adoption of machine learning by companies and higher investment in ML. In 2023, around 63% of the organizations plans on increase or maintain their spending on AI and machine learning. Furthermore, there have been more than 4400 investment rounds for machine learning firms as of October 2020, with a total of USD 3 billion raised over those funding rounds.
Deployment (On-Premises, Cloud Based)
The global topological quantum computing market is also segmented and analyzed for demand and supply by product into on-premise, and cloud-based. Amongst these two segments, the cloud-based segment is expected to garner a significant share. The segment is expected to grow on the account of increasing development of effective cloud systems, and rising demand for cloud-based deployment of quantum computing service. Along with this, the flexibility of access offered by cloud is expected to be another factor fueling the growing adoption of cloud-based deployment of topological quantum computing systems and service in the coming years.
Our in-depth analysis of the global market includes the following segments:
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