Trade Surveillance Systems Market Share Analysis, Leading Players, Growth, Trends, And Forecast To 2033

The trade surveillance systems market size has grown rapidly in recent years. It will grow from $1.49 billion in 2023 to $1.77 billion in 2024 at a compound annual growth rate (CAGR) of 18.7%. The growth in the historic period can be attributed to increased need for market surveillance, growing regulatory compliance demands, rising sophistication of trade surveillance, development of new products and feature updates by trade surveillance providers, growing demand for sophisticated surveillance solutions by regulated financial companies.

The trade surveillance systems market size is expected to see rapid growth in the next few years. It will grow to $3.58 billion in 2028 at a compound annual growth rate (CAGR) of 19.3%. The growth in the forecast period can be attributed to increasing need for market surveillance, growing regulatory compliance, focus on market manipulation detection, integration with blockchain technology. Major trends in the forecast period include behavioral analytics in surveillance, cloud-based trade surveillance solutions, real-time monitoring, collaboration with regulatory authorities, globalization of trade surveillance operations.

Market Overview -
Trade surveillance systems refer to activities carried out and measures taken by public authorities to ensure that products comply with the applicable union harmonization legislation. By examining all market and trading data, this aids in the tracking of crimes across multiple regions and asset types.

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Ai And Ml Integration Revolutionizing Trade Surveillance Systems
Integration of artificial intelligence (AI) and machine learning (ML) in surveillance is expected to propel the growth of the trade surveillance systems market going forward. AI refers to the capacity of a computer or a robot under computer control to carry out tasks that are typically performed by people. ML refers to a kind of artificial intelligence (AI) that enables computer programmers to forecast outcomes more accurately without being expressly designed. AI and ML are used in trade surveillance systems as quick, accurate, and effective tools that help regulate investment risk and compliance and can protect the systems from hackers. For instance, according to TELUS International, a Canada-based IT services company, in 2022, more than $217 billion will have been spent on AI apps to help prevent fraud and assess risk, and 64% of financial firms believe AI can detect fraud before it occurs. Therefore, the integration of artificial intelligence (AI) and machine learning (ML) in surveillance is driving the trade surveillance systems market growth.

Competitive Landscape -
Major companies operating in the trade surveillance systems market report are NICE Ltd., Aquis Exchange PLC, IPC Systems Inc., b-next Holding AG, ACA Compliance Group Holdings LLC, Nasdaq Inc., BAE Systems Applied Intelligence US Corp., Cinnober Financial Technology AB, Fidelity National Information Services Inc., Eventus Systems Inc., OneMarketData LLC, Tradair Technologies LLC, Ancoa Software Ltd., Kx Systems Inc., AlphaSense Inc., Broadridge Financial Solutions Inc., Scila AB, Pico Quantitative Trading LLC, London Stock Exchange Group plc., Red Deer Systems Ltd., Solidus Labs Ltd., Anvil Group Holdings Limited, TradingHub Technologies Limited, big xyt GmbH, Hyannis Port Research LLC, Quod Financial Limited, Itiviti Trading AB., Kyte Broking Limited, AlgoTrader AG, AlphaPoint Corporation, Thesys Technologies LLC, Corvil Ltd.

Embracing Technological Advancements And Machine Learning Solutions
Technological advancements are a key trend gaining popularity in the trade surveillance systems market. Major companies operating in the trade surveillance systems market are focused on developing new technological solutions such as machine learning technology to sustain their position in the market. For instance, in March 2022, Solidus Labs, a US-based crypto-native risk monitoring and trade surveillance company, launched HALO. This is a trade surveillance and market integrity hub that is designed for digital assets that are automated, comprehensive, and testable. With the help of machine learning technology, it automatically regulates investment risk and compliance. Also, helps to protect organizations from a widening array of threats related to crypto trade surveillance and transaction monitoring capabilities.

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Key Segments -

The trade surveillance systems market covered in this report is segmented -

1) By Component: Solutions, Services
2) By Organizational Size: Small And Medium-Sized Enterprises, Large Enterprises
3) By Deployment Type: On-Premises, Cloud

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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