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 anticipated growth in the forecast period can be attributed to various factors, including regulatory reporting requirements, the need for real-time monitoring, advancements in regulatory technology, a focus on customer protection, and the emphasis on cross-border compliance. Major trends expected in the forecast period encompass the adoption of machine learning (ML) and natural language processing (NLP), the incorporation of explainable AI (XAI), the utilization of predictive analytics, the automation of compliance processes, risk assessment and management, and the establishment of regulatory sandboxes and innovation hubs.
The escalation in fraud detection efforts is anticipated to drive the expansion of the artificial intelligence in regtech market in the forthcoming years. Fraud detection involves deploying diverse techniques and technologies to identify and thwart fraudulent activities within systems or organizations. Artificial intelligence (AI) in regtech (regulatory technology) plays a pivotal role in fraud detection by harnessing advanced algorithms and machine learning techniques to scrutinize extensive datasets sourced from various channels. This empowers organizations with robust tools to proactively identify and forestall fraudulent activities, thereby mitigating financial losses and fortifying defenses against regulatory breaches. For example, data from the Federal Bureau of Investigation revealed a significant surge in cryptocurrency investment scams targeting individuals aged 30-49, with losses escalating from $907 million in 2021 to $2.57 billion in 2022. Consequently, the heightened focus on fraud detection serves as a catalyst propelling the growth of the artificial intelligence in regtech market.
Leading enterprises within the artificial intelligence in regtech sector are pioneering innovative products such as AI RegTech solutions to bolster compliance processes within the financial services industry. AI RegTech solutions represent software applications leveraging artificial intelligence (AI) and machine learning (ML) to automate tasks, enhance efficiency, and mitigate risks associated with regulatory compliance. For instance, in December 2021, CUBE launched RegPlatform, an AI-powered regulatory intelligence platform tailored for financial institutions. RegPlatform equips financial institutions with regulatory intelligence capabilities and serves as a repository of regulatory data. Designed to streamline regulatory compliance processes, reduce risk, and enhance operational efficiency, RegPlatform empowers financial institutions to navigate regulatory complexities effectively.
In January 2023, CUBE, a leading automated regulatory intelligence company headquartered in the UK, finalized the acquisition of The Hub for an undisclosed sum. This strategic move marks an effort by CUBE to expand its automated regulatory intelligence (ARI) technology, ultimately enhancing its ability to mitigate compliance costs and risks for its clientele. The Hub, a UK-based RegTech firm renowned for its innovative artificial intelligence solutions, specializes in capturing and monitoring unstructured data across the regulatory internet.
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.
North America was the largest region in the artificial intelligence (AI) in regtech market in 2023. The regions covered in the artificial intelligence in regtech market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the artificial intelligence in regtech market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Artificial Intelligence in RegTech, or regulatory technology, involves the application of AI technologies and techniques to enhance regulatory processes. AI-enabled regtech solutions can significantly improve data governance, business risk assessment, and overall regulatory compliance within the financial industry.
The main categories of artificial intelligence in regtech comprise solutions and services. AI in RegTech solutions utilizes technologies such as machine learning, natural language processing (NLP), and data analytics to enhance regulatory compliance processes in the financial sector. Various operational models, including unsupervised learning, supervised learning, reinforced learning, and semi-supervised learning, are applied for tasks such as regulatory compliance, risk management, financial crime detection, identity management, compliance support, analytics, and automated trading applications.
The artificial intelligence regtech market research report is one of a series of new reports that provides artificial intelligence regtech market statistics, including artificial intelligence regtech industry global market size, regional shares, competitors with an artificial intelligence regtech market share, detailed artificial intelligence regtech market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence regtech industry. This artificial intelligence regtech market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
The artificial intelligence in regtech market includes revenues earned by entities by services such as natural language processing (NLP), machine learning (ML) and data security and privacy compliance includes data encryption, and privacy impact assessments. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence in regtech market also includes sales of graphics processing units (GPUs), tensor processing units (TPUs), central processing units (CPUs), and field-programmable gate arrays (FPGAs). 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
Artificial Intelligence In Regtech Global Market Report 2024 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses on artificial intelligence in regtech 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 artificial intelligence in regtech? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The artificial intelligence in regtech market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, 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.
- 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 impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.
- The impact of higher inflation in many countries and the resulting spike in interest rates.
- The continued but declining impact of COVID-19 on supply chains and consumption patterns.
- 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. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
- 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 trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.
Scope
Markets Covered:
1) By Type: Solutions; Services2) 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 Companies Mentioned: IBM Watson Financial Services; White and Case LLP; Sysxnet Limited; Trulioo; Onfido
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; 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: PDF, Word and Excel Data Dashboard.
Companies Mentioned
- 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
Methodology
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Table Information
Report Attribute | Details |
---|---|
No. of Pages | 175 |
Published | April 2024 |
Forecast Period | 2024 - 2028 |
Estimated Market Value ( USD | $ 1.89 Billion |
Forecasted Market Value ( USD | $ 6.64 Billion |
Compound Annual Growth Rate | 36.9% |
Regions Covered | Global |
No. of Companies Mentioned | 24 |