Global Trade Surveillance Market is expected to reach million by 2026 and is projected to register a healthy CAGR of 18.2% in the forecast period of 2019 to 2026.
The Trade Surveillance is one of the most important surveillance systems for financial institution and banking sectors against market abuse and market manipulation. The trade surveillance is used to detect and monitor capital fraud, behavioral patterning and insider trading in capital markets. The main purpose is to deliver coverage in the complete depth of the order book, suspected cases and other audit order trails. The trade surveillance offers a wide range of applications in banking, financial services, hedging, wealth management, asset management and others.
Some of the major players operating in this market are Software AG, FIS, SIA S.P.A., Celent, ACA Compliance Group Holdings, LLC, Scila AB, CINNOBER FINANCIAL TECHNOLOGY, Trapets AB, Abel Noser Holdings LLC, Crisil Limited, Cognizant, IPC System, Inc., Aquis Technologies, OneMarketData, B-next, IBM, Accenture, Nasdaq, Inc., and others.
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Major Market Segments-:
Segmentation helps the readers to analyze the worldwide and key locales market potential and favorable position, trends, opportunity, and market challenge, component, deployment model, organization size and vertical.
It is done on the basis of-:
On the basis of component:
- Solution
- Services
On the basis of deployment model:
- On-Premises
- Cloud And Hybrid
On the basis of organization size:
- Large Enterprises
- Small and Medium-Sized Enterprises (SMES)
On the basis of vertical:
- Capital Markets
- Banking Financial Services
- Insurance (BFSI)
Descriptive Analysis on the basis of Geography-:
The report covers majorly these areas-:
- South America Market: Brazil, Argentina, Columbia, Chile, Peru
- Asia-Pacific Market: China, Southeast Asia, India, Japan, Korea, Western Asia
- North America Market: United States, Canada, Mexico
- The Middle East & Africa Market: GCC, North Africa, South Africa,
- Europe Market: Germany, Netherlands, UK, France, Russia, Spain, Italy, Turkey, Switzerland.
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Drivers: Global Trade Surveillance Market
RAPIDLY INCREASING DEMAND FOR MONITORING TRADE ACTIVITIES
The monitoring trade activities played a crucial role in trade surveillance market due to the complex form of trading which is offered by the financial instruments. On normal, the market structure is quite complicated and more variable, thus increasing the transaction volumes in financial market.
It has been observed that financial institutions have taken several measures to tackle the risk based conditions such as suspicion of money laundering, terrorist financing and insider trading in between the financial institutions.
- According to FINTRAIL LTD. in between October 2015 to march 2017, nearly 6.5 lakhs money laundering activities were detected through the trade activities in financial institutions. All this money laundering cases are submitted to the U.K. Financial Intelligence Unit (FIU) for verification of financial data and documents. It has been estimated that nearly 600 billion to 1.5 trillion of dirty money are laundered every year in the world.
Restraint:
DIFFICULT TO ANALYZE THE REAL TIME FRAUD DETECTION
Although the application of trade surveillance is increasing day by day in many developed and developing countries for detecting and protecting the capital and stock market from market abuse and manipulation but it gets challenged by the real-time detection of fraud related issue at financial and banking sectors. Most of the time, cyber hackers target the real-time operations such as online channel transactions, enhanced credit and fraud risk management because in such cases criminals can change their tactics with which they will be able to access multiple portfolio and business lines.
- According to Central Bureau of Investigation (CBI), the bank frauds have been increased by 120% of 23,900, where 10,400 cases are reported due to individual fraudsters and hackers syndicates. They use the knowledge of banking, technology and insider data to execute the fraudulent transactions.
OPPORTUNITIES:
RISING DEMAND FOR TIME SERIES DATABASES AND LOW LATENCY
The increasing demand for trade surveillance in financial markets environment over the past several years has been driven by the need for time series database and low latency. Now a day, the automated capital market focuses on managing information through latest technology based applications.
But most of the financial institutions and banking sectors uses relational database management systems (RDBMSs), which is unable to offer appropriate reliability, speed and flexibility due to lack of low latency database system.
- For instance, eXtremeDB embedded DBMS from McObject, LLC offers a better result in low latency database management which is highly proficient for In-memory database system (IMDS) design structure. It is enhanced with a memory manager and an internal transaction that delivers maximum efficiency while working in multi-processor systems and multi-threaded applications. The time series database gradually provides hybrid storage which can be supported in both real time and historical data with the single database architecture and streaming data.
CHALLENGES
COMPLICATED DESIGN OF SURVEILLANCE SYSTEMS
The trade surveillance system design is complex as it needs to maintain the clear prioritization according to the device which is being integrated. The design also needs to maintain the features such as real time automated system for detecting several transactions. This requires the designers to be cautious while selecting the design surveillance system.
Most of the time the database is built with a core in-memory database system which is more secure and protective as well as more complex due to availability of low-latency database technology. It also provides financial applications which ensures the persistence, data integrity and supports clustering of multiple servers.
- In 2011, TCS (Tata Consultancy Services) launched a trading and surveillance platform solutions which offers low TCO, robust architecture and high performance in market infrastructure space. The solution prevails about current inefficiency in disparate systems and usage of expensive infrastructure.
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