Artificial Intelligence In Regtech Global Market Report 2024 - By Share, Size, Trends, Growth, Forecast To 2033

The artificial intelligence in regtech market size has grown exponentially in recent years. It will grow from $1.37 billion in 2023 to $1.89 billion in 2024 at a compound annual growth rate (CAGR) of 37.3%. The growth in the historic period can be attributed to rising compliance costs, demand for automation, data explosion, enhanced risk management.

The artificial intelligence in regtech market size is expected to see exponential growth in the next few years. It will grow to $6.64 billion in 2028 at a compound annual growth rate (CAGR) of 36.9%. The growth in the forecast period can be attributed to regulatory reporting requirements, need for real-time monitoring, regulatory technology advancements, focus on customer protection, cross-border compliance. Major trends in the forecast period include adoption of machine learning (ML) and natural language processing (NLP), explainable AI (XAI), predictive analytics, automation of compliance processes, risk assessment and management, regulatory sandboxes and innovation hubs.

Market Overview -
Artificial Intelligence in regtech refers to the application of AI technologies and techniques within the realm of regulatory technology. AI-enabled regtech can improve data governance, business risk, and regulatory compliance.

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Surge In Fraud Detection Propels Artificial Intelligence In Regtech Market Growth
Rise in fraud detection is expected to propel the growth of the artificial intelligence in regtech market going forward. Fraud detection refers to the process of using various techniques and technologies to identify and prevent fraudulent activities within a system or organization. Artificial intelligence (AI) in regtech (regulatory technology) helps in fraud detection by leveraging advanced algorithms and machine learning techniques to analyze large volumes of data from various sources. It provides organizations with powerful tools to proactively detect and prevent fraudulent activities, ultimately helping to reduce financial losses and safeguard against regulatory violations. For instance, in March 2023, according to the Federal Bureau of Investigation, a US-based law enforcement agency, the value of cryptocurrency investment targeting individuals aged 30-49 surged from $907 million in 2021 to $2.57 billion in 2022. Therefore, the rise in fraud detection is driving the growth of the artificial intelligence (AI) in regtech market.

Competitive Landscape -
Major companies operating in the artificial intelligence in regtech market report are IBM Watson Financial Services, White and Case LLP, Sysxnet Limited, Trulioo, Onfido, ComplyAdvantage, Behavox Ltd., FundApps Ltd., Sift Science, AlgoDynamix, WorkFusion, Trunomi, Elliptic, Fund Recs, IdentityMind Global, Corlytics Ltd., Silverfinch Consultancy Pvt Ltd, Merlon Intelligence, Open Source Investor Services, AQMetrics Limited, Ayasdi, CheckRecipient Limited, KYC Exchange Net AG, Text IQ

Connected GRC Offerings By MetricStream Inc.
Major companies operating in the artificial intelligence in regTech market are developing innovative products such as AI RegTech solutions to enhance compliance processes within the financial services industry. An AI RegTech solution is a software application that uses artificial intelligence (AI) and machine learning (ML) to automate tasks, improve efficiency, and mitigate risks associated with regulatory compliance. For instance, in December 2021, CUBE, a UK-based automated regulatory intelligence company, launched RegPlatform. This platform provides financial institutions with regulatory intelligence capabilities and a source of regulatory data. The RegPlatform is designed to help financial institutions automate regulatory compliance processes, reduce risk, and improve operational efficiency.

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Key Segments -
The artificial intelligence in regtech market covered in this report is segmented -
1) By Type: Solutions, Services
2) By Operation Model: Unsupervised Learning, Supervised Learning, Reinforced Learning, Semi-Supervised Learning
3) By Application: Regulatory Compliance, Risk Management, Financial Crime, Identity Management, Compliance Support, Analytics, Automated Trading

Key highlights covered in the report -
1. Detailed market size forecast and historical data analysis
2. Key drivers influencing market growth
3. Identification of upcoming trends and potential opportunities in the market
4. Analysis of major players strategies, to understand competitive dynamics and market positioning
5. Evaluation of regional dynamics

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