The quantum-artificial intelligence (ai) fraud heatmap market size is expected to see exponential growth in the next few years. It will grow to $12.07 billion in 2030 at a compound annual growth rate (CAGR) of 30%. The growth in the forecast period can be attributed to increasing investments in quantum analytics platforms, rising demand for real-time fraud visualization, expansion of ai-powered compliance tools, growing focus on proactive fraud mitigation, increasing regulatory expectations for transparency. Major trends in the forecast period include expansion of visual fraud intelligence platforms, growing adoption of quantum-enhanced risk mapping, increasing use of real-time transaction heatmaps, rising integration of ai-based anomaly detection, enhanced focus on explainable fraud analytics.
The rising incidence of cyber threats is expected to propel the growth of the quantum-artificial intelligence (AI) fraud heatmap market going forward. Cyber threats refer to any malicious attempts by individuals or groups to damage, disrupt, or gain unauthorized access to computer systems, networks, or digital information. The rising incidence of cyber threats is due to the growing centralization of digital asset storage, as it creates single points of failure that are highly attractive to hackers. Quantum-artificial intelligence (AI) fraud heatmap helps combat cyber threats by leveraging advanced quantum computing and AI algorithms to detect anomalies in real time. It enhances security by visually mapping high-risk activities, enabling faster decision-making and proactive threat mitigation. For instance, in July 2024, according to Check Point Software Technologies Ltd., an Israel-based cybersecurity company, cyberattacks on corporate networks are rising, with a 30% increase in weekly attacks in the second quarter of 2024 compared to the same period in 2023 and a 25% rise from the first quarter of 2024. Therefore, the rising incidence of cyber threats is driving the growth of the quantum-artificial intelligence (AI) fraud heatmap market.
The growing adoption of cloud-based solutions is expected to propel the growth of the quantum-artificial intelligence (AI) fraud heatmap market going forward. Cloud-based services are internet-delivered solutions that allow users to access data, applications, or computing resources remotely, without relying on on-site infrastructure. The cloud-based services are increasing due to scalability and flexibility, as they allow businesses to easily adjust resources on demand without heavy upfront infrastructure costs. Cloud-based solutions enhance quantum-artificial intelligence (AI) fraud heatmaps by providing scalable infrastructure for processing vast amounts of data in real time. They improve accessibility by enabling remote monitoring and fraud detection across multiple locations, ensuring flexibility and cost efficiency. For instance, in December 2023, according to Eurostat Luxembourg-based government agency, in 2023, 45.2 % of EU enterprises purchased cloud‐computing services. Therefore, the growing adoption of cloud-based solutions is driving the growth of the quantum-artificial intelligence (AI) fraud heatmap market.
The rising digital payments are expected to propel the growth of the quantum-artificial intelligence (AI) fraud heatmap market going forward. Digital payments refer to financial transactions conducted electronically via mobile wallets, online banking, or digital transfers without using physical cash or checks. The digital payments are increasing due to rising smartphone and internet penetration, making electronic transactions more accessible and convenient for users. Quantum-artificial intelligence (ai) fraud heatmap enhances digital payments by providing real-time monitoring and anomaly detection, ensuring secure and seamless transactions. It reduces risks of fraud by mapping high-risk activities and identifying suspicious patterns instantly. For instance, in January 2024, according to the European Central Bank, a Germany-based central banking institution, the number of contactless card payments rose by 24.3% to 20.9 billion in 2023 compared to 2022. Therefore, the rising digital payments are driving the growth of the quantum artificial intelligence (AI) fraud heatmap market.
Major companies operating in the quantum-artificial intelligence (ai) fraud heatmap market are Microsoft Corporation, Deloitte Touche Tohmatsu Limited, International Business Machines Corporation, Paysafe Limited, Multiverse Computing S.L., Quandela S.A., Rigetti Computing Inc., IonQ Inc., QC Ware Corp., Hustle Inc., Sandbox AQ Inc., D-Wave Quantum Inc., Quantum Falcon Inc., AdvanThink Inc.
North America was the largest region in the quantum-artificial intelligence (AI) fraud heatmap 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) fraud heatmap 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) fraud heatmap 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) fraud heatmap market consists of revenues earned by entities by providing services such as real-time fraud detection, risk scoring, anomaly detection, predictive analytics, transaction monitoring, and visualization of high-risk areas using AI and quantum computing technologies. 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) fraud heatmap market also includes sales of quantum-powered fraud detection software, AI-enabled anomaly visualization platforms, integrated fraud analytics dashboards, secure data processing hardware, and real-time risk monitoring systems. 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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Table of Contents
Executive Summary
Quantum-Artificial Intelligence (AI) Fraud Heatmap Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses quantum-artificial intelligence (ai) fraud heatmap market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for quantum-artificial intelligence (ai) fraud heatmap? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The quantum-artificial intelligence (ai) fraud heatmap market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Report Scope
Markets Covered:
1) By Component: Software; Hardware; Services2) By Deployment Mode: on-Premises; Cloud
3) By Organization Size: Small and Medium Enterprises; Large Enterprises
4) By End-User: Banking, Financial Services, and Insurance (BFSI); Retail; Healthcare; Government; Information Technology (IT) and Telecommunications; Other End Users
Subsegments:
1) By Software: Fraud Detection Platforms; Risk Analytics Tools; Data Visualization Software; Predictive Modeling Software; Artificial Intelligence (AI)-Powered Monitoring Systems2) By Hardware: Quantum Computing Processors; High-Performance Servers; Data Storage Systems; Networking Equipment; Security Appliances
3) By Services: Consulting Services; Implementation Services; Managed Services; Training and Support Services; System Integration Services
Companies Mentioned: Microsoft Corporation; Deloitte Touche Tohmatsu Limited; International Business Machines Corporation; Paysafe Limited; Multiverse Computing S.L.; Quandela S.a.; Rigetti Computing Inc.; IonQ Inc.; QC Ware Corp.; Hustle Inc.; Sandbox AQ Inc.; D-Wave Quantum Inc.; Quantum Falcon Inc.; AdvanThink Inc.
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits:
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
The companies featured in this Quantum-Artificial Intelligence (AI) Fraud Heatmap market report include:- Microsoft Corporation
- Deloitte Touche Tohmatsu Limited
- International Business Machines Corporation
- Paysafe Limited
- Multiverse Computing S.L.
- Quandela S.A.
- Rigetti Computing Inc.
- IonQ Inc.
- QC Ware Corp.
- Hustle Inc.
- Sandbox AQ Inc.
- D-Wave Quantum Inc.
- Quantum Falcon Inc.
- AdvanThink Inc.
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | January 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 4.22 Billion |
| Forecasted Market Value ( USD | $ 12.07 Billion |
| Compound Annual Growth Rate | 30.0% |
| Regions Covered | Global |
| No. of Companies Mentioned | 14 |


