Market Trends in Quantum-Inspired Soft Computing for Intelligent Data Processing

Title

Market Trends in Quantum-Inspired Soft Computing for Intelligent Data Processing

Creator

Kapoor, Shubh; Garg, Vikas

Description

Quantum-Inspired Soft Computing (QISC) is an advanced concept in computational intelligence in the current era of hi-technology, which has been adapted to principles underpinning quantum mechanics, including superposition and entanglement in the conven tional computing systems. The current chapter aims to identify the growing trends in the market environment concerning QISC for intelligence data processing, specifying the aspects of its applicability, costuse ratio, and adaptability among different industries. The increased need for the utilization of enhanced methods of data handling arising from big data and AI progress has made QISC viable for handling optimization problems, machine learning, and predictive modeling in addition to quantum computing. Major business sectors, such as finance, health care, supply chain, and energy sectors, have benefited from the use of QISC to enhance operational management, decision making, and system reliability. This chapter also discusses how leading players such as Microsoft, IBM, and DWave are in the course of incorporating QISC in cloud environments as well as in hybrid computing systems. Advancements in hardware, such as GPUs and quantum-inspired processors, and in algorithms, such as tensor networks and reinforcement learning, have further extended the usage of QISC. However, there are issues such as standardization, interdisciplinary qualified staff, and computational complexity, which remain important unsolved tasks for further investigation and cooperation. This chapter ends by briefly pointing out new directions for how QISC can work with AI for NLP and real-time analysis. Understanding QISC in terms of its current market and its positive impact on the future of computational intelligence is the focus of this chapter, which focuses on current market trends. Analyzing key trends and the degree of industry adoption, the research findings provide useful perspectives for academic, practical, and policy purposes. 2026 Scrivener Publishing LLC.

Source

Quantum-Inspired Approaches for Intelligent Data Processing;pp.173-200

Date

01-01-2026

Publisher

wiley

Subject

Hybrid computing models; Intelligent data processing; Market trends in QISC; Quantum-inspired soft computing (QISC)

Coverage

Kapoor S., School of Business and Management, Christ University, Bengaluru, India; Garg V., Symbiosis Institute of Business Management, Noida, Symbiosis International (Deemed University), Pune, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISBN: 978-139433644-9; 978-139433641-8;

Format

online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.1002/9781394336449-008

https://www.scopus.com/pages/publications/105032533536?origin=resultslist