Quantum-Artificial Intelligence (AI) Financial Liquidity Predictor Market Report 2026

The quantum-artificial intelligence (ai) financial liquidity predictor market size has grown exponentially in recent years. It will grow from $1.9 billion in 2025 to $2.54 billion in 2026 at a compound annual growth rate (CAGR) of 33.7%. The growth in the historic period can be attributed to increasing complexity of global financial markets, expansion of electronic trading activities, rising need for liquidity risk management, adoption of advanced treasury systems, regulatory liquidity monitoring requirements.

The quantum-artificial intelligence (ai) financial liquidity predictor market size is expected to see exponential growth in the next few years. It will grow to $8 billion in 2030 at a compound annual growth rate (CAGR) of 33.2%. The growth in the forecast period can be attributed to growing investments in quantum financial analytics, rising demand for real-time treasury decision tools, expansion of automated liquidity management platforms, increasing regulatory stress testing mandates, growing adoption of cloud-based financial intelligence. Major trends in the forecast period include expansion of real-time liquidity forecasting models, growing adoption of quantum-based stress testing, increasing integration of ai-driven treasury analytics, rising focus on intraday liquidity optimization, enhanced use of scenario simulation tools.

The increasing emphasis on digital transformation is expected to drive the growth of the quantum-artificial intelligence (AI) financial liquidity predictor market going forward. Digital transformation refers to the integration of digital technologies to optimize business processes, enhance customer experiences, and foster innovation across organizations. The adoption of digital transformation is rising due to the growing demand for faster, more personalized, and seamless customer experiences to maintain a competitive edge. Quantum-artificial intelligence (AI) financial liquidity predictors support digital transformation by providing real-time liquidity insights and predictive analytics, streamlining financial operations. They reduce manual analysis by automating forecasting and risk assessment, thereby improving trading efficiency and decision-making accuracy. For instance, in July 2024, according to the European Central Bank, a Germany-based central bank for the Eurosystem, in 2023, contactless card payments in the second half of the year increased by 16%, reaching 23.2 billion compared with the same period in 2022. Therefore, the growing focus on digital transformation is driving the growth of the quantum-artificial intelligence (AI) financial liquidity predictor market.

Major companies operating in the quantum-artificial intelligence (AI) financial liquidity predictor market are focusing on developing advanced platforms, such as AI-driven predictive analytics systems, to boost trading efficiency, enhance risk management, and reduce manual analysis and financial miscalculations. AI-driven predictive analytics systems refer to sophisticated software that leverages machine learning and quantum computing principles to analyze vast datasets, forecast market liquidity crunches, and identify optimal trading windows in real-time. For instance, in September 2024, Quantum Signal AI LLC, a US-based technology company, launched a next-generation artificial intelligence (AI) trading platform for the finance industry. This platform combines advanced artificial intelligence with quantum computing insights to deliver highly accurate predictions of mid-price movements and liquidity trends for equities and futures in intraday trading. The platform is designed to predict liquidity across various asset classes, providing traders and institutions with a powerful tool to navigate volatile markets. It includes automated signal generation and real-time risk assessment functionality, enabling proactive decision-making and capital allocation without constant manual oversight.

In January 2025, SandboxAQ, a US-based computer software company, partnered with Google Cloud to accelerate quantitative artificial intelligence (AI) for the enterprise. This partnership aims to enable businesses to deploy large-scale quantum-AI models, enhance financial and operational forecasting, and solve complex enterprise-level problems more efficiently. Google Cloud is a US-based cloud and AI technology company leveraging quantum computing to drive AI-based financial liquidity prediction.

Major companies operating in the quantum-artificial intelligence (ai) financial liquidity predictor market are Google LLC, Microsoft Corporation, Bank of America Corporation, Citigroup Inc., HSBC Holdings PLC, Accenture plc, International Business Machines Corporation (IBM Corporation), BNP Paribas S.A., Fujitsu Limited, Barclays PLC, Standard Chartered PLC, Mizuho Financial Group Inc., Macquarie Group Limited, Quantinuum Limited, Xanadu Quantum Technologies, Multiverse Computing S.L., Terra Quantum AG, 1QB Information Technologies Inc., Rigetti Computing, IonQ Inc., D-Wave Quantum Inc., Alpine Quantum Technologies GmbH.

North America was the largest region in the quantum-artificial Intelligence (AI) financial liquidity predictor market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the quantum-artificial intelligence (ai) financial liquidity predictor market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the quantum-artificial intelligence (ai) financial liquidity predictor market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The quantum-artificial intelligence (AI) financial liquidity predictor market consists of revenues earned by entities by providing services such as liquidity forecasting, risk and stress testing, real-time treasury optimization, portfolio rebalancing, and predictive analytics. The market value includes the value of related goods sold by the service provider or included within the service offering. The quantum-artificial intelligence (AI) financial liquidity predictor market also includes sales of quantum-based financial modelling tools, large quantitative models, multiverse computing’s singularity platforms, artificial intelligence (AI)-powered bond liquidity and issuance platforms, and enterprise artificial intelligence (AI) integration platforms. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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