알고리즘 트레이딩 시장 : 시장 점유율 분석, 업계 동향 및 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the algorithmic trading market size reached USD 20.23 billion in 2026 and is projected to advance to USD 29.54 billion by 2031, reflecting a 7.87% CAGR over the forecast period.

This report is Segmented by Types of Traders (Institutional Investors, Retail Investors, Long-Term Traders, and Short-Term Traders), Component (Solutions, and Services), Deployment (Cloud, and On-Premise), Organisation Size (Small and Medium Enterprises, and Large Enterprises), and Geography (North America, Europe, and More). The Market Forecasts are Provided in Terms of Value (USD).

Global Algorithmic Trading Market Trends and Insights

Demand for Sub-millisecond Order Execution on United States and Japanese Equities

Latency arbitrage defines the modern liquidity race, with Nasdaq's matching engine operating below 500 nanoseconds and Tokyo Stock Exchange adopting photonic links that move market data between Tokyo and Osaka in 200 microseconds. High-frequency principals deploy field-programmable-gate-array logic to route orders deterministically, shrinking adverse-selection windows and enabling tighter spreads. Colocation racks in CME Group's Aurora campus cost more than USD 15,000 per month, yet leading desks justify the spend by capturing fleeting price dislocations that would otherwise evaporate in microseconds. Smaller firms unable to match that hardware budget rely on cloud direct-connect nodes, accepting modest latency in exchange for elasticity. As United States securities markets upgrade time-stamping granularity to 100-microsecond precision, any participant failing to meet that benchmark risks regulatory scrutiny and competitive obsolescence.

Surging Passive-Investment Assets Fueling Index-Rebalance Algorithms in Europe

European passive assets surpassed EUR 3 trillion (USD 3.39 trillion) in 2025, and the scheduled rebalancing of STOXX and FTSE indices now generates predictable intraday flow spikes of 20-30 basis points that specialist algorithms exploit. Broker-dealers parse index-compiler announcements weeks in advance and pre-hedge constituents, offering asset managers reduced tracking-error slippage in exchange for sizable participation fees. Execution desks therefore integrate smart order routing with machine-readable rulebooks, ensuring liquidity is posted ahead of the closing auction when exchange-traded funds must finish their trades. The consequent surge in end-of-day volume rewards firms that can model crowding risk and stagger orders across dark pools, multilateral trading facilities, and primary exchanges without breaching best-execution audits. For the algorithmic trading market, these quarterly rebalance windows represent recurring revenue that compounds as passive share grows.

Rising Exchange Colocation Costs Squeezing Mid-tier Proprietary Desks

Monthly rack rates at major venues exceed USD 20,000 once redundancy, cross-connects, and power draws are included, a burden that mid-tier shops executing fewer than 10 million orders annually struggle to amortize. Financial Conduct Authority research shows infrastructure consumes up to 40% of total technology spend for such firms, prompting exits from latency-sensitive strategies or migrations to cloud nodes with higher jitter. The resulting consolidation enlarges spreads on previously crowded micro-arbitrage pairs, inadvertently increasing profits for the remaining capitalized participants. Cloud providers respond by placing edge nodes within exchange campuses, offering 1-digit-millisecond round trips that suit longer-horizon algorithms. Nevertheless, the deterministic nanosecond performance essential for market-making remains out of reach for virtualized hardware, preserving the two-tier speed hierarchy inside the algorithmic trading market.

Other drivers and restraints analyzed in the detailed report include:

1. Expansion of Crypto-Exchange API Liquidity Pools in Southeast Asia
2. Regulatory Push for Best Execution, MiFID II and SEC Reg-NMS Modernization
3. Flash-Crash Liquidity Vacuum Risk

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

Segment Analysis

Institutional desks generated the largest slice of 2025 revenue, and their share translated to a 61.16% portion of the algorithmic trading market size, backed by multi-asset mandates and dedicated colocation footprints. Long-term quant managers favor cloud-based back-testing clusters that replay years of market data in hours, optimizing factor exposure without incurring fixed hardware costs. Short-term high-frequency participants, in contrast, deploy sub-microsecond order routers inside exchange data centers to exploit fleeting bid-offer mispricing, a model financially prohibitive for most retail actors.

The retail segment is expanding at an 8.32% CAGR through 2031, particularly in India and Singapore, where zero-commission brokerage integrations embed plug-and-play scripting environments. MetaTrader 5 surpassed 2 million active trading accounts in 2025, a milestone that illustrates democratized access to institutional-grade tooling. Platform marketplaces now list thousands of paid and free strategy templates, allowing individuals to license proven code rather than program from scratch. As education content improves and application-programming-interface limits are relaxed, retail penetration introduces a growing revenue stream for data vendors and hosting providers, gradually rebalancing the algorithmic trading market toward a more diverse participant base.

Solutions packages platform licenses bundled with analytics captured 68.32% of 2025 spending, valued at USD 13.83 billion within the algorithmic trading market size. Thomson Reuters and Refinitiv anchor this segment by delivering cohesive data feeds, smart order routing, and trade blotters through subscription contracts that embed switching costs. The dominance of integrated stacks reflects buy-side preference for single-vendor accountability, ensuring regulatory and operational support arrives from one help desk.

Services, however, are the fastest-growing slice at a 9.14% CAGR because specialized vendors now assume algorithm design, model validation, and best-execution reporting on an outsourced basis. AlgoTrader's managed-service line delivers back-testing infrastructure as a consumption-priced cloud workload, while InfoReach offers hosted execution shells that wrap client algorithms inside compliance controls. This modular approach resonates with asset managers facing shrinking management fees yet escalating audit demands. Over time, the lines between software licence and consulting retainer blur, and hybrid commercial models emerge in which monthly invoices scale with executed volume, deepening vendor-client interdependence inside the algorithmic trading market.

Complete Report Scope:

• By Types of Traders
  • Institutional Investors
  • Retail Investors
  • Long-term Traders
  • Short-term Traders
• By Component
  • Solutions
    • Platforms
    • Software Tools
  • Services
• By Deployment
  • Cloud
  • On-premise
• By Organisation Size
  • Small and Medium Enterprises
  • Large Enterprises
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Chile
    • Rest of South America
  • Europe
    • Germany
    • United Kingdom
    • France
    • Italy
    • Spain
    • Netherlands
    • Russia
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • South Korea
    • India
    • ASEAN
    • Australia
    • New Zealand
    • Rest of Asia Pacific
  • Middle East
    • GCC
    • Turkey
    • Israel
    • Rest of Middle East
  • Africa
    • South Africa
    • Nigeria
    • Kenya
    • Rest of Africa

Geography Analysis

North America generated 38.14% of 2025 global revenue, giving the region the largest algorithmic trading market share among all continents. New York and Chicago colocation hubs house most high-frequency desks, supported by exchange facilities that time-stamp trades at nanosecond precision. Regulatory modernization, including the Securities and Exchange Commission's sub-penny disclosure mandate, compels continual upgrades to smart order routers, and technology stalwarts such as Bloomberg and Refinitiv reinforce the ecosystem by bundling venue connectivity with analytics. Canadian and Mexican exchanges contribute incremental volumes, yet the critical mass of sophisticated participants remains clustered in United States venues where deep liquidity and high message caps justify capital-intensive strategies.

Asia Pacific is projected to be the fastest-growing geography at an 8.73% CAGR, rising from a 2025 revenue base energized by retail participation on Indian and Southeast Asian exchanges. The Securities and Exchange Board of India's push to open colocation access for every member leveled infrastructure asymmetries, and Tokyo's photonic network has created new arbitrage arcs linking cash equities with Osaka Exchange derivatives. South Korean and Australian regulators adopted sandbox frameworks for testing artificial-intelligence-driven order types, inviting foreign proprietary houses to pilot strategies without permanent licensing. While high-frequency penetration in mainland China remains controlled, incremental liberalization in Shenzhen and Shanghai suggests a gradual opening that could unlock additional demand as capital-controls ease.

Europe captured a substantial slice of 2025 spending, anchored by the United Kingdom's foreign-exchange liquidity pools and passive rebalancing flows on STOXX Europe 600 and FTSE 100 indices. MiFID II best-execution audits increase demand for transaction-cost analytics, rewarding vendors that embed compliance logic inside execution paths. Deutsche Borse's Frankfurt colocation and Euronext's Paris data halls mirror United States latency benchmarks, enabling cross-venue arbitrage strategies that parse more than 30 trading platforms in real time. Although South America, the Middle East, and Africa currently represent smaller bases, Brazil's B3 API expansion and Abu Dhabi's new colocation hall could pivot local volumes upward, signaling nascent corridors of growth that the algorithmic trading market will monitor closely.

1. Thomson Reuters Corporation
2. Refinitiv Limited
3. Virtu Financial Inc.
4. Jump Trading LLC
5. 63 Moons Technologies Ltd
6. Citadel Securities LLC
7. Hudson River Trading LLC
8. Tower Research Capital LLC
9. XTX Markets Limited
10. Goldman Sachs Group Inc.
11. JPMorgan Chase and Co.
12. IG Group Holdings plc
13. MetaQuotes Software Corp.
14. Symphony Fintech Solutions Pvt Ltd
15. InfoReach Inc.
16. AlgoTrader AG
17. ARGO SE
18. Kuberre Systems Inc.
19. DRW Holdings LLC
20. Optiver BV
21. Jane Street Group LLC

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 Demand for Sub-millisecond Order Execution on US and Japanese Equities
  • 4.2.2 Surging Passive-Investment AUM Fuelling Index-Rebalance Algorithms in Europe
  • 4.2.3 Expansion of Crypto-Exchange API Liquidity Pools in South-East Asia
  • 4.2.4 Regulatory Push for Best-Execution, MiFID II and SEC Reg-NMS Modernisation
  • 4.2.5 Quantum-Optimised Back-Testing Cuts Strategy Time-to-Market
  • 4.2.6 Open-Source Algo Frameworks (PLUTUS, LEAN) Democratise Institutional-Grade Tooling
• 4.3 Market Restraints
  • 4.3.1 Rising Exchange Colocation Costs Squeezing Mid-tier Prop Desks
  • 4.3.2 Flash-Crash Liquidity Vacuum Risk
  • 4.3.3 Stringent Market-Surveillance Fines on HFT Spoofing in EU
  • 4.3.4 Carbon-Footprint Caps on Data-Centre Latency Arms-Race
• 4.4 Industry Value Chain Analysis
• 4.5 Regulatory Landscape
• 4.6 Technological Outlook
• 4.7 Porter's Five Forces Analysis
  • 4.7.1 Bargaining Power of Suppliers
  • 4.7.2 Bargaining Power of Buyers and Investors
  • 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 (VALUE)

• 5.1 By Types of Traders
  • 5.1.1 Institutional Investors
  • 5.1.2 Retail Investors
  • 5.1.3 Long-term Traders
  • 5.1.4 Short-term Traders
• 5.2 By Component
  • 5.2.1 Solutions
    • 5.2.1.1 Platforms
    • 5.2.1.2 Software Tools
  • 5.2.2 Services
• 5.3 By Deployment
  • 5.3.1 Cloud
  • 5.3.2 On-premise
• 5.4 By Organisation Size
  • 5.4.1 Small and Medium Enterprises
  • 5.4.2 Large Enterprises
• 5.5 By Geography
  • 5.5.1 North America
    • 5.5.1.1 United States
    • 5.5.1.2 Canada
    • 5.5.1.3 Mexico
  • 5.5.2 South America
    • 5.5.2.1 Brazil
    • 5.5.2.2 Argentina
    • 5.5.2.3 Chile
    • 5.5.2.4 Rest of South America
  • 5.5.3 Europe
    • 5.5.3.1 Germany
    • 5.5.3.2 United Kingdom
    • 5.5.3.3 France
    • 5.5.3.4 Italy
    • 5.5.3.5 Spain
    • 5.5.3.6 Netherlands
    • 5.5.3.7 Russia
    • 5.5.3.8 Rest of Europe
  • 5.5.4 Asia Pacific
    • 5.5.4.1 China
    • 5.5.4.2 Japan
    • 5.5.4.3 South Korea
    • 5.5.4.4 India
    • 5.5.4.5 ASEAN
    • 5.5.4.6 Australia
    • 5.5.4.7 New Zealand
    • 5.5.4.8 Rest of Asia Pacific
  • 5.5.5 Middle East
    • 5.5.5.1 GCC
    • 5.5.5.2 Turkey
    • 5.5.5.3 Israel
    • 5.5.5.4 Rest of Middle East
  • 5.5.6 Africa
    • 5.5.6.1 South Africa
    • 5.5.6.2 Nigeria
    • 5.5.6.3 Kenya
    • 5.5.6.4 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 Thomson Reuters Corporation
  • 6.4.2 Refinitiv Limited
  • 6.4.3 Virtu Financial Inc.
  • 6.4.4 Jump Trading LLC
  • 6.4.5 63 Moons Technologies Ltd
  • 6.4.6 Citadel Securities LLC
  • 6.4.7 Hudson River Trading LLC
  • 6.4.8 Tower Research Capital LLC
  • 6.4.9 XTX Markets Limited
  • 6.4.10 Goldman Sachs Group Inc.
  • 6.4.11 JPMorgan Chase and Co.
  • 6.4.12 IG Group Holdings plc
  • 6.4.13 MetaQuotes Software Corp.
  • 6.4.14 Symphony Fintech Solutions Pvt Ltd
  • 6.4.15 InfoReach Inc.
  • 6.4.16 AlgoTrader AG
  • 6.4.17 ARGO SE
  • 6.4.18 Kuberre Systems Inc.
  • 6.4.19 DRW Holdings LLC
  • 6.4.20 Optiver BV
  • 6.4.21 Jane Street Group LLC

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment