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°Å·¡ °¨½Ã ½Ã½ºÅÛ ½ÃÀå : ÄÄÆ÷³ÍÆ®º°, Àü°³ ¸ðµåº°, ±â¾÷ ±Ô¸ðº°, ÃÖÁ¾»ç¿ëÀÚº°, Áö¿ªº°(2025-2033³â)Trade Surveillance System Market Report by Component, Deployment Mode, Enterprise Size, End User, and Region 2025-2033 |
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The global trade surveillance system market size reached USD 1,439.6 Million in 2024. Looking forward, IMARC Group expects the market to reach USD 5,097.0 Million by 2033, exhibiting a growth rate (CAGR) of 14.33% during 2025-2033.
A trade surveillance system refers to an advanced software solution used to monitor and detect potential market abuse and other types of financial crimes. It works by capturing and analyzing trade data to identify illegal or unethical trading practices, such as fraud, behavioral patterning, market manipulation, unlawful disclosure, money laundering, insider trading, and unsuitable investments. It also assists organizations to ensure the efficient prevention and investigation of illegal, manipulative, or abusive trading practices to comply with the government regulations and protect the interests of the firm. As a result, trade surveillance systems are widely utilized by trade exchange firms, information technology (IT) service providers, government regulators, consulting firms, and other financial institutions.
The rising instances of abusive trading, market manipulation and fraud across the globe represent the primary factor driving the market growth. Besides this, the growing need for pre- and post-trade monitoring in financial institutions is augmenting the demand for trade surveillance systems. Additionally, there has been a substantial shift toward automated and algorithmic trading, which has increased the risk of trade manipulation, violation, and fraud. This, in confluence with the surging need for mandatory regulatory compliance, is propelling the market growth. Furthermore, the leading players are heavily investing in the development of advanced product variants integrated with innovative technologies, such as artificial intelligence (AI), natural language processing (NLP), and machine learning (ML), to gain a competitive edge. For instance, they have introduced solutions with enhanced surveillance and risk detection capabilities, an updated cloud architecture, and more powerful AI and NLP applications. Other factors, including rapid digitization, increasing cloud-based trading activities, technological advancements, and rising security concerns, are also creating a positive market outlook.
The competitive landscape of the industry has also been examined along with the profiles of the key players being ACA Group, Accenture plc, Aquis Exchange PLC, b-next, Cognizant, CRISIL Limited (S&P Global Inc.), FIS, International Business Machines Corporation, Nasdaq Inc., NICE Ltd., OneMarketData LLC and SIA S.p.A.