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市場調查報告書
商品編碼
1851862

貿易監控系統：市場佔有率分析、產業趨勢、統計數據和成長預測（2025-2030 年）

Trade Surveillance Systems - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)
出版日期: | 出版商: Mordor Intelligence | 英文 120 Pages | 商品交期: 2-3個工作天內

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簡介目錄

預計到 2025 年，貿易監控系統市場規模將達到 28.4 億美元，到 2030 年將達到 63.3 億美元，預測期（2025-2030 年）的複合年成長率為 17.40%。

交易監控系統-市場-IMG1

更嚴格的報告要求，例如美國的綜合審核追蹤（CAT）和歐洲不斷發展的MiFID II框架，是關鍵的推動因素。金融機構現在需要近乎即時的分析，篩檢超過15萬筆交易，並以97.5%的準確率識別可疑模式，這促使供應商轉向高效能、人工智慧驅動的架構。雲端技術的採用降低了前期投資需求，而混合模式則解決了資料主權問題。加密資產和代幣化資產的快速成長增加了複雜性，迫使監控平台擴展到傳統股票和衍生性商品之外。

全球貿易監控系統市場趨勢與洞察

多資產電子交易市場的快速擴張

高頻交易和演算法交易策略目前已占美國股票交易量的一半以上，這造成了傳統規則無法覆蓋的監控盲點。各公司必須關聯股票、債券、選擇權和大宗商品的訂單簿，同時也要考慮毫秒級的延遲差異，因為這種差異使得交叉套利成為可能。從倫敦主導模式向全自動、訂單驅動型交易所的轉變表明，流動性的增加與市場操縱風險的上升並存。供應商正在透過統一資料來源並引入特定交易場所的校準機制來應對此挑戰，這些校準機制可以標記分散市場中的欺騙交易和分層交易行為。

CAT 和其他交易後透明度要求

美國《商品交易法案》(CAT) 要求美國仲介使用單一格式報告所有股票和選擇權事件。 2025年3月的修訂案減少了個人資訊字段，但保留了唯一標識符，每年可為公司節省1200萬美元，同時仍能向監管機構提供足夠的資訊。類似的壓力也正在歐洲醞釀，MiFIR 3引入了數位代幣識別碼和新的到期標籤，迫使系統升級以處理更豐富的數據。這促使金融機構將監控視為基本的合規基礎設施，而非選擇權風險管理工具。

與傳統前台、中台和後勤部門系統的複雜整合

英國近92%的金融機構依賴大型主機，這些大型主機在夜間批量處理交易文件，無法實現秒級監控。實現訊息通訊協定、欄位分類和同步化需要多年的藍圖，並且通常涉及50多個內部團隊。系統中斷會導致資料饋送不完整和警報遺漏，迫使新舊平台並行運作一段時間，直到監管機構確認資料完整性為止。

細分市場分析

到2024年，解決方案將佔據交易監控系統市場62.2%的佔有率，凸顯了整合訂單、執行和通訊資料的端到端平台的主導地位。該細分市場受益於高昂的轉換成本和持續的規則更新，使供應商能夠獲得持續的授權收入。隨著銀行在關鍵監管期限前續簽企業許可證，預計包含解決方案的交易監控系統市場規模將穩定成長。

隨著小型企業將模型調優和監管映射外包，服務業將以 18.2% 的複合年成長率成長。託管服務合約可以彌補內部人才缺口，並提供全天候的區域覆蓋。對於中型仲介而言，這種方式比聘請專職量化分析師更具成本效益，因為服務提供者可以一站式完成實施、行為模型校準和運作測試。

到2024年，本地部署系統仍將維持54.6%的市場佔有率，這反映了資料主權要求以及審核對防火牆後系統的偏好。然而，隨著監管機構明確加密資料可儲存在核准的司法管轄區，雲端服務預計將成為交易監控系統市場中成長最快的領域，到2030年將以19.2%的複合年成長率成長。

雲端服務供應商提供彈性運算能力，可在一夜之間回測數百萬個場景。混合模式正日益普及，因為它們將個人識別資訊儲存在本地資料中心，同時將去識別化的交易記錄傳輸到雲端叢集進行進階分析。新加坡和加拿大的成功試驗表明，只要加密金鑰由客戶管理，此類架構就能通過監管審查。

交易監控系統市場按組件（解決方案和服務）、部署類型（本地部署和雲端部署）、交易類型（股票、固定收益、其他）、最終用戶（賣方機構、買方機構、其他）、組織規模（一級全球銀行、二級和中型企業、其他）以及地區進行細分。市場預測以美元計價。

區域分析

亞太地區監管科技發展速度最快，年複合成長率達18.1%，從追隨者躍升為領跑者。新加坡金融管理局試行以人工智慧為基礎的反洗錢和反恐融資模型，以加強交易監控。香港強制要求對持牌虛擬資產管理公司進行監管，從而推動了交易所和一級仲介的支出。

北美是最大的貢獻者，佔比34.16%，這主要得益於CAT（可能是指某種交易規則或法規）以及計劃於2025年中期生效的賣空限制。美國受惠於供應商靠近主要股票和選擇權交易所的地理優勢，而隨著交叉上市交易量的成長，加拿大也正在加速投資。

在歐洲，MiFID II 和 EMIR 已經引入了嚴格的交易報告製度，並且各國已擁有成熟的監管機構。即將推出的 MiFIR 3 將引入數位代幣標識符，並擴大監管範圍。歐洲大陸的銀行正在升級其系統，以統一各業務部門的交易標識符，而英國公司則在實施並行流程，以應對英國脫歐後出現的差異。

其他福利：

  • Excel格式的市場預測（ME）表
  • 3個月的分析師支持

目錄

第1章 引言

  • 研究假設和市場定義
  • 調查範圍

第2章調查方法

第3章執行摘要

第4章 市場情勢

  • 市場概覽
  • 市場促進因素
    • 全球多資產電子交易所的快速擴張
    • 綜合審核追蹤（CAT）和其他交易後透明度要求
    • 人工智慧/機器學習驅動的異常檢測可減少誤報和合規成本。
    • 雲端原生SaaS交付降低了整體擁有成本
    • 受監管機構對加密貨幣和數位資產交易的接受度日益提高
    • 現實世界資產的代幣化造成了新的監控盲點
  • 市場限制
    • 與傳統前台、中台和後勤部門的高度整合複雜性
    • 貿易監控數據科學人才短缺
    • 分散的全域規則集會導致代價高昂的規則對應。
    • 日益嚴格的隱私法規限制了全面監控資料的共享
  • 產業價值鏈分析
  • 監管環境
  • 技術展望
  • 產業吸引力：波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 新進入者的威脅
    • 替代品的威脅
    • 競爭對手之間的競爭
  • 宏觀經濟因素如何影響市場

第5章 市場規模與成長預測

  • 按組件
    • 解決方案
    • 服務
  • 透過部署模式
    • 本地部署
    • 雲
  • 按交易類型
    • 庫存
    • 固定收益
    • 衍生性商品
    • 外匯外匯
    • 商品
    • 數位資產
  • 最終用戶
    • 賣方機構
    • 買方機構
    • 市場場所和交易所
    • 監管機構和自律組織
  • 按公司規模
    • 全球一級銀行
    • 二線和中型企業
    • 小型金融機構和仲介交易商
    • 金融科技與加密貨幣交易所
  • 按地區
    • 北美洲
      • 美國
      • 加拿大
      • 墨西哥
    • 南美洲
      • 巴西
      • 阿根廷
      • 智利
      • 其他南美洲
    • 歐洲
      • 德國
      • 英國
      • 法國
      • 義大利
      • 西班牙
      • 俄羅斯
      • 其他歐洲地區
    • 亞太地區
      • 中國
      • 印度
      • 日本
      • 韓國
      • 澳洲
      • 新加坡
      • 馬來西亞
      • 亞太其他地區
    • 中東和非洲
      • 中東
      • 阿拉伯聯合大公國
      • 沙烏地阿拉伯
      • 土耳其
      • 其他中東地區
      • 非洲
      • 南非
      • 奈及利亞
      • 其他非洲地區

第6章 競爭情勢

  • 市場集中度
  • 策略趨勢
  • 市佔率分析
  • 公司簡介
    • NICE Ltd.（Actimize）
    • Nasdaq Inc.（SMARTS）
    • BAE Systems Digital Intelligence
    • Fidelity National Information Services Inc.（FIS）
    • Software AG
    • Eventus Systems Inc.
    • ACA Group
    • TradingHub Group Ltd.
    • eflow Ltd.
    • B-next Group GmbH
    • Solidus Labs Inc.
    • Aquis Technologies Ltd.
    • Trillium Management LLC
    • SIA SpA
    • IBM Watson Financial RegTech
    • S&P Global Market Intelligence（KYC/Surveillance）
    • VoxSmart Ltd.
    • OneMarketData LLC
    • SteelEye Ltd.
    • CranSoft（Scila AB）
    • KX Systems（First Derivatives plc）
    • ShieldFC Ltd.
    • IPC Systems Inc.（Connexus）
    • Trapets AB
    • Corvil Analytics by Pico
    • Digital Reasoning Systems Inc.

第7章 市場機會與未來趨勢

  • 閒置頻段與未滿足需求評估
簡介目錄
Product Code: 67350

The Trade Surveillance Systems Market size is estimated at USD 2.84 billion in 2025, and is expected to reach USD 6.33 billion by 2030, at a CAGR of 17.40% during the forecast period (2025-2030).

Trade Surveillance Systems - Market - IMG1

Heightened reporting mandates such as the United States' Consolidated Audit Trail (CAT) and Europe's evolving MiFID II framework are the core catalysts. Institutions now need near-real-time analytics that screen more than 150,000 transactions per second and spot suspicious patterns with 97.5% accuracy, pushing vendors toward high-performance, AI-driven architectures. Cloud deployment lowers upfront capital requirements, while hybrid models address data-sovereignty concerns. Rapid growth in crypto and tokenized assets adds complexity, forcing surveillance platforms to expand beyond traditional equities and derivatives.

Global Trade Surveillance Systems Market Trends and Insights

Rapid Expansion of Multi-Asset Electronic Trading Venues

High-frequency and algorithmic strategies now drive more than half of US equity volumes, creating surveillance blind spots that legacy rule sets struggle to cover. Firms must correlate order books across equities, fixed income, options, and commodities while accounting for millisecond latency gaps that enable cross-venue arbitrage. The shift from dealer models to fully automated order-driven venues in London illustrates how liquidity gains coexist with higher market-abuse risk. Vendors respond by unifying data feeds and embedding venue-specific calibrations that flag spoofing and layering across fragmented markets.

Mandatory CAT and Other Post-Trade Transparency Mandates

The CAT regime obliges US brokers to report every equity and option event under one schema. A March 2025 amendment trimmed personal data fields yet preserved unique identifiers, saving firms USD 12 million yearly while keeping regulators fully informed. Similar pressure builds in Europe, where MiFIR 3 introduces digital-token identifiers and new effective-date tags, compelling upgrades to handle richer payloads. Institutions, therefore, treat surveillance as foundational compliance infrastructure rather than optional risk tooling.

High Integration Complexity with Legacy Front-, Middle- and Back-Office Systems

Nearly 92% of UK institutions still rely on mainframes that batch-process trade files overnight, a cadence incompatible with second-by-second surveillance. Bridging message protocols, field taxonomies, and clock synchronisation requires multi-year roadmaps, often involving 50-plus internal teams. Disconnects cause incomplete data feeds and missed alerts, forcing parallel run periods where old and new platforms coexist until regulators certify data integrity.

Other drivers and restraints analyzed in the detailed report include:

  1. AI/ML-Powered Anomaly Detection Reducing False Positives and Cost
  2. Cloud-Native SaaS Delivery Lowering Total Cost of Ownership
  3. Shortage of Trade-Surveillance Data-Science Talent

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Solutions held 62.2% of the trade surveillance systems market share in 2024, underscoring the primacy of end-to-end platforms that integrate order, execution, and communications data. The segment benefits from high switching costs and continual rule updates, positioning vendors for recurring licensing revenue. The trade surveillance systems market size attached to solutions is projected to lift steadily as banks renew enterprise licences before key regulatory deadlines.

Services, though smaller, grow at 18.2% CAGR as institutions outsource model tuning and regulatory mapping. Managed-service contracts fill in-house talent gaps and provide 24-hour coverage across regions. Providers bundle implementation, behavioural-model calibration, and post-go-live testing, a package that mid-tier brokers consider more cost-effective than hiring specialised quants.

On-premise deployments retained a 54.6% share in 2024, reflecting data-sovereignty obligations and auditor preference for systems housed within firewalls. Yet the trade surveillance systems market size attributed to cloud offerings is set to rise fastest, expanding at 19.2% CAGR through 2030 as regulators issue clarifications that encrypted data may reside in approved jurisdictions.

Cloud providers offer elastic compute for back-testing millions of scenarios overnight, an ability that on-premise grids struggle to replicate without oversizing. Hybrid models gain traction because they keep personally identifiable information in local data centres while diverting de-identified trade records to cloud clusters for heavy analytics. Successful pilots in Singapore and Canada demonstrate that such architectures pass regulatory inspection when encryption keys remain client-controlled.

Trade Surveillance Systems Market is Segmented by Component (Solutions and Services), Deployment Mode (On-Premise and Cloud), Trading Type (Equities, Fixed Income, and More), End-User (Sell-Side Institutions, Buy-Side Institutions, and More), Organisation Size (Tier-1 Global Banks, Tier-2 and Mid-Sized Firms, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Geography Analysis

Asia-Pacific records the fastest regional CAGR of 18.1%, moving from follower to front-runner in supervisory technology. Monetary Authority of Singapore pilots AI-based AML-CFT models that feed into trade-surveillance controls, creating reference implementations that other regulators monitor closely. Hong Kong mandates surveillance coverage for licensed virtual-asset operators, lifting spending among exchanges and prime brokers.

North America remains the largest contributor with a 34.16% share, driven by CAT and planned short-sale flags that take effect mid-2025. The United States benefits from vendor proximity to major equity and options venues, while Canada accelerates investment as cross-listing volumes climb.

Europe holds a mature adopter profile where MiFID II and EMIR already embed strict transaction reporting. Upcoming MiFIR 3 changes introduce digital-token identifiers that widen the regulatory perimeter. Continental banks upgrade systems to reconcile trade identifiers across business lines, and UK firms run parallel processes to manage post-Brexit divergence.

  1. NICE Ltd. (Actimize)
  2. Nasdaq Inc. (SMARTS)
  3. BAE Systems Digital Intelligence
  4. Fidelity National Information Services Inc. (FIS)
  5. Software AG
  6. Eventus Systems Inc.
  7. ACA Group
  8. TradingHub Group Ltd.
  9. eflow Ltd.
  10. B-next Group GmbH
  11. Solidus Labs Inc.
  12. Aquis Technologies Ltd.
  13. Trillium Management LLC
  14. SIA S.p.A.
  15. IBM Watson Financial RegTech
  16. S&P Global Market Intelligence (KYC/Surveillance)
  17. VoxSmart Ltd.
  18. OneMarketData LLC
  19. SteelEye Ltd.
  20. CranSoft (Scila AB)
  21. KX Systems (First Derivatives plc)
  22. ShieldFC Ltd.
  23. IPC Systems Inc. (Connexus)
  24. Trapets AB
  25. Corvil Analytics by Pico
  26. Digital Reasoning Systems Inc.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Rapid expansion of global multi-asset electronic trading venues
    • 4.2.2 Mandatory consolidated audit trail (CAT) and other post-trade transparency mandates
    • 4.2.3 AI/ML-powered anomaly detection reduces false positives and compliance costs
    • 4.2.4 Cloud-native SaaS delivery lowering total cost of ownership
    • 4.2.5 Growing adoption of crypto and digital-asset trading by regulated institutions
    • 4.2.6 Tokenisation of real-world assets creating new surveillance blind spots
  • 4.3 Market Restraints
    • 4.3.1 High integration complexity with legacy front-, middle- and back-office systems
    • 4.3.2 Shortage of trade-surveillance data-science talent
    • 4.3.3 Fragmented global rule sets leading to costly rule-mapping
    • 4.3.4 Rising privacy regulations limiting holistic surveillance data pooling
  • 4.4 Industry Value Chain Analysis
  • 4.5 Regulatory Landscape
  • 4.6 Technological Outlook
  • 4.7 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.7.1 Bargaining Power of Suppliers
    • 4.7.2 Bargaining Power of Buyers
    • 4.7.3 Threat of New Entrants
    • 4.7.4 Threat of Substitutes
    • 4.7.5 Intensity of Competitive Rivalry
  • 4.8 Impact of Macroeconomic Factors on the Market

5 MARKET SIZE AND GROWTH FORECASTS (VALUES)

  • 5.1 By Component
    • 5.1.1 Solutions
    • 5.1.2 Services
  • 5.2 By Deployment Mode
    • 5.2.1 On-Premise
    • 5.2.2 Cloud
  • 5.3 By Trading Type
    • 5.3.1 Equities
    • 5.3.2 Fixed Income
    • 5.3.3 Derivatives
    • 5.3.4 Foreign Exchange
    • 5.3.5 Commodities
    • 5.3.6 Digital Assets
  • 5.4 By End-user
    • 5.4.1 Sell-Side Institutions
    • 5.4.2 Buy-Side Institutions
    • 5.4.3 Market Venues and Exchanges
    • 5.4.4 Regulators and SROs
  • 5.5 By Organisation Size
    • 5.5.1 Tier-1 Global Banks
    • 5.5.2 Tier-2 and Mid-Sized Firms
    • 5.5.3 Small FIs and Broker-Dealers
    • 5.5.4 FinTech and Crypto Exchanges
  • 5.6 By Geography
    • 5.6.1 North America
      • 5.6.1.1 United States
      • 5.6.1.2 Canada
      • 5.6.1.3 Mexico
    • 5.6.2 South America
      • 5.6.2.1 Brazil
      • 5.6.2.2 Argentina
      • 5.6.2.3 Chile
      • 5.6.2.4 Rest of South America
    • 5.6.3 Europe
      • 5.6.3.1 Germany
      • 5.6.3.2 United Kingdom
      • 5.6.3.3 France
      • 5.6.3.4 Italy
      • 5.6.3.5 Spain
      • 5.6.3.6 Russia
      • 5.6.3.7 Rest of Europe
    • 5.6.4 Asia-Pacific
      • 5.6.4.1 China
      • 5.6.4.2 India
      • 5.6.4.3 Japan
      • 5.6.4.4 South Korea
      • 5.6.4.5 Australia
      • 5.6.4.6 Singapore
      • 5.6.4.7 Malaysia
      • 5.6.4.8 Rest of Asia-Pacific
    • 5.6.5 Middle East and Africa
      • 5.6.5.1 Middle East
      • 5.6.5.1.1 United Arab Emirates
      • 5.6.5.1.2 Saudi Arabia
      • 5.6.5.1.3 Turkey
      • 5.6.5.1.4 Rest of Middle East
      • 5.6.5.2 Africa
      • 5.6.5.2.1 South Africa
      • 5.6.5.2.2 Nigeria
      • 5.6.5.2.3 Rest of Africa

6 COMPETITIVE LANDSCAPE

  • 6.1 Market Concentration
  • 6.2 Strategic Moves
  • 6.3 Market Share Analysis
  • 6.4 Company Profiles (includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share for key companies, Products and Services, and Recent Developments)
    • 6.4.1 NICE Ltd. (Actimize)
    • 6.4.2 Nasdaq Inc. (SMARTS)
    • 6.4.3 BAE Systems Digital Intelligence
    • 6.4.4 Fidelity National Information Services Inc. (FIS)
    • 6.4.5 Software AG
    • 6.4.6 Eventus Systems Inc.
    • 6.4.7 ACA Group
    • 6.4.8 TradingHub Group Ltd.
    • 6.4.9 eflow Ltd.
    • 6.4.10 B-next Group GmbH
    • 6.4.11 Solidus Labs Inc.
    • 6.4.12 Aquis Technologies Ltd.
    • 6.4.13 Trillium Management LLC
    • 6.4.14 SIA S.p.A.
    • 6.4.15 IBM Watson Financial RegTech
    • 6.4.16 S&P Global Market Intelligence (KYC/Surveillance)
    • 6.4.17 VoxSmart Ltd.
    • 6.4.18 OneMarketData LLC
    • 6.4.19 SteelEye Ltd.
    • 6.4.20 CranSoft (Scila AB)
    • 6.4.21 KX Systems (First Derivatives plc)
    • 6.4.22 ShieldFC Ltd.
    • 6.4.23 IPC Systems Inc. (Connexus)
    • 6.4.24 Trapets AB
    • 6.4.25 Corvil Analytics by Pico
    • 6.4.26 Digital Reasoning Systems Inc.

7 MARKET OPPORTUNITIES AND FUTURE TRENDS

  • 7.1 White-Space and Unmet-Need Assessment