Table of Content

1 INTRODUCTION 17
1.1 OBJECTIVES OF THE STUDY 17
1.2 MARKET DEFINITION 17
1.3 MARKET SCOPE 18
1.3.1 MARKET SEGMENTATION 18
1.3.2 REGIONS COVERED 19
1.4 YEARS CONSIDERED FOR THE STUDY 19
1.5 CURRENCY CONSIDERED 20
1.6 STAKEHOLDERS 20

2 RESEARCH METHODOLOGY 21
2.1 RESEARCH DATA 21
2.1.1 SECONDARY DATA 22
2.1.2 PRIMARY DATA 22
2.1.2.1 Breakup of primary profiles 23
2.1.2.2 Key industry insights 23
2.2 MARKET BREAKUP AND DATA TRIANGULATION 24
2.3 MARKET SIZE ESTIMATION 24
2.3.1 TOP-DOWN APPROACH 25
2.3.2 BOTTOM-UP APPROACH 25
2.4 MARKET FORECAST 26
2.5 ASSUMPTIONS FOR THE STUDY 27
2.6 LIMITATIONS OF THE STUDY 28

3 EXECUTIVE SUMMARY 29

4 PREMIUM INSIGHTS 34
4.1 ATTRACTIVE MARKET OPPORTUNITIES IN THE ALGORITHMIC TRADING MARKET 34
4.2 ALGORITHMIC TRADING MARKET: TOP 3 TRADING TYPES 34
4.3 ALGORITHMIC TRADING MARKET: TOP 3 TRADING TYPES AND REGIONS 35
4.4 ALGORITHMIC TRADING MARKET, BY TRADING TYPE 35
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5 MARKET OVERVIEW AND INDUSTRY TRENDS 37
5.1 INTRODUCTION 37
5.2 MARKET DYNAMICS 37
5.2.1 DRIVERS 38
5.2.1.1 Increasing demand for fast, reliable, and effective order execution and reduced transaction costs 38
5.2.1.2 Increasing government regulations and growing demand for market surveillance 38
5.2.1.3 Growing adoption of cloud-based solutions 38
5.2.2 RESTRAINTS 39
5.2.2.1 Lack of monitoring and insufficient risk valuation capabilities 39
5.2.3 OPPORTUNITIES 39
5.2.3.1 Algorithmic trading to have no impact of human emotions 39
5.2.3.2 Emergence of AI and algorithms in financial services sector 39
5.2.4 CHALLENGES 40
5.2.4.1 Lack of accuracy and consistency in algorithms 40
5.3 USE CASES 40
5.3.1 INTRODUCTION 40
5.3.1.1 Use case: Scenario 1 40
5.3.1.2 Use case: Scenario 2 41
5.3.1.3 Use case: Scenario 3 41
5.3.1.4 Use case: Scenario 4 42
5.4 REGULATORY IMPLICATIONS 42
5.4.1 INTRODUCTION 42
5.4.2 GENERAL DATA PROTECTION REGULATION 43
5.4.3 MARKETS IN FINANCIAL INSTRUMENTS DIRECTIVE II 43
5.4.4 MARKETS IN FINANCIAL INSTRUMENTS REGULATION 43
5.4.5 SECURITIES AND EXCHANGE COMMISSION 43
5.4.6 COMMODITY FUTURES TRADING COMMISSION 43
5.5 ALGORITHMIC TRADING ARCHITECTURE 43

6 ALGORITHMIC TRADING MARKET, BY TRADING TYPE 46
6.1 INTRODUCTION 47
6.2 FOREIGN EXCHANGE 48
6.2.1 NEED FOR AUTOMATED TRADING TO DRIVE ALGORITHMIC TRADING MARKET IN FOREX SEGMENT 48
6.3 STOCK MARKETS 49
6.3.1 STOCK MARKETS TO GAIN TRACTION IN COMING YEARS 49
6.4 EXCHANGE-TRADED FUNDS 50
6.4.1 EXCHANGE-TRADED FUNDS PROVIDE LOWER AVERAGE COSTS FOR TRADING PROCESS TO DRIVE ALGORITHMIC TRADING MARKET 50
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6.5 BONDS 51
6.5.1 INCREASING DEMAND FOR FINANCING PROJECTS AND OPERATIONS TO DRIVE ADOPTION OF BONDS IN THE MARKET 51
6.6 CRYPTOCURRENCIES 52
6.6.1 CRYPTOCURRENCIES ASSIST TRADERS IN PERFORMING SECURE TRADING PAYMENTS 52
6.7 OTHERS 53

7 ALGORITHMIC TRADING MARKET, BY COMPONENT 54
7.1 INTRODUCTION 55
7.2 SOLUTIONS 56
7.2.1 PLATFORMS 57
7.2.1.1 Growing demand for algorithmic trading platform to effectively automate trading process and maximize profit 57
7.2.2 SOFTWARE TOOLS 58
7.2.2.1 Rising demand for algorithmic trading tools to automate trading strategies 58
7.3 SERVICES 59
7.3.1 PROFESSIONAL SERVICES 60
7.3.1.1 Increasing demand for consulting services to effectively implement algorithmic trading solutions 60
7.3.2 MANAGED SERVICES 60
7.3.2.1 Organizations’ need to focus more on core tasks to drive demand for managed services in coming years 60

8 ALGORITHMIC TRADING MARKET, BY DEPLOYMENT MODE 62
8.1 INTRODUCTION 63
8.2 CLOUD 64
8.2.1 COST-EFFECTIVENESS AND SCALABILITY BENEFITS TO BOOST GROWTH OF CLOUD DEPLOYMENT MODELS 64
8.3 ON-PREMISES 65
8.3.1 DATA-SENSITIVE ORGANIZATIONS TO CONTINUE TO ADOPT ON-PREMISES DEPLOYMENT MODELS 65

9 ALGORITHMIC TRADING MARKET, BY ORGANIZATION SIZE 66
9.1 INTRODUCTION 67
9.2 SMALL AND MEDIUM-SIZED ENTERPRISES 68
9.2.1 GROWING POTENTIAL OF ALGORITHMIC TRADING TO DRIVE ADOPTION OF ALGORITHMIC TRADING AMONG SMALL AND MEDIUM-SIZED ENTERPRISES 68
9.3 LARGE ENTERPRISES 69
9.3.1 LARGE ENTERPRISES TO DEPLOY ALGORITHMIC TRADING SOLUTIONS FOR EFFECTIVELY EXECUTING TRADING STRATEGIES 69
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10 ALGORITHMIC TRADING MARKET, BY REGION 70
10.1 INTRODUCTION 71
10.2 NORTH AMERICA 73
10.2.1 UNITED STATES 78
10.2.1.1 Growing implementation of AI- and ML-based solutions to fuel the demand for algorithmic trading in the US 78
10.2.2 CANADA 78
10.2.2.1 Increase in AI-based investments and research activities to drive the growth of the algorithmic trading market in Canada 78
10.3 EUROPE 79
10.3.1 UNITED KINGDOM 82
10.3.1.1 Growing governance from regulators to fuel the adoption of algorithmic trading solutions in the UK 82
10.3.2 GERMANY 83
10.3.2.1 Increasing adoption of algorithmic trading solutions to drive the market in Germany 83
10.3.3 FRANCE 83
10.3.3.1 Heavy inflow of capital from various investors to drive the algorithmic trading market in France 83
10.3.4 REST OF EUROPE 83
10.4 ASIA PACIFIC 84
10.4.1 CHINA 89
10.4.1.1 Growing investments by tech giants to expand and provide opportunities for the development of algorithmic trading market solutions 89
10.4.2 JAPAN 89
10.4.2.1 Growing government regulations helps algorithmic trading solution providers improve risk management practices in Japan 89
10.4.3 INDIA 89
10.4.3.1 Lower cost of technology and availability of skilled resources to help the algorithmic trading market grow 89
10.4.4 AUSTRALIA 90
10.4.4.1 Increasing investments in technologies to help the algorithmic trading market to grow 90
10.4.5 REST OF ASIA PACIFIC 90
10.5 MIDDLE EAST AND AFRICA 91
10.5.1 UNITED ARAB EMIRATES 94
10.5.1.1 Complex legal, regulatory, and economic resolutions to compel organizations to adopt algorithmic trading solutions in UAE 94
10.5.2 ISRAEL 95
10.5.2.1 Regulatory compliance backed by the presence of algorithmic trading vendors to lead the adoption of algorithmic trading solutions in Israel 95
10.5.3 REST OF MIDDLE EAST AND AFRICA 95
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10.6 LATIN AMERICA 96
10.6.1 BRAZIL 99
10.6.1.1 Brazil to witness the highest growth rate in the algorithmic trading market in coming years 99
10.6.2 MEXICO 99
10.6.2.1 Mexico to account for the largest market size in the algorithmic trading market in the region 99
10.6.3 REST OF LATIN AMERICA 99

11 COMPETITIVE LANDSCAPE 100
11.1 OVERVIEW 100
11.2 COMPETITIVE LEADERSHIP MAPPING 100
11.2.1 VISIONARY LEADERS 100
11.2.2 INNOVATORS 100
11.2.3 DYNAMIC DIFFERENTIATORS 100
11.2.4 EMERGING COMPANIES 100
11.3 STRENGTH OF PRODUCT PORTFOLIO 102
11.4 BUSINESS STRATEGY EXCELLENCE 103
12 COMPANY PROFILES 104
12.1 INTRODUCTION 104
(Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View)*
12.2 THOMSON REUTERS 105
12.3 63 MOONS 108
12.4 VIRTU FINANCIAL 111
12.5 SOFTWARE AG 114
12.6 METAQUOTES SOFTWARE 118
12.7 SYMPHONY 120
12.8 INFOREACH 122
12.9 ARGO SE 124
12.10 KUBERRE SYSTEMS 126
12.11 TATA CONSULTANCY SERVICES 128
12.12 QUANTCORE CAPITAL MANAGEMENT 128
12.13 IRAGECAPITAL 129
12.14 AUTOMATED TRADING SOFTTECH 129
12.15 TETHYS 130
12.16 TRADING TECHNOLOGIES 130
12.17 UTRADE 131
12.18 VELA 131
12.19 ALGOTRADER 132
*Details on Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View might not be captured in case of unlisted companies.
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13 APPENDIX 133
13.1 INSIGHTS OF INDUSTRY EXPERTS 133
13.2 DISCUSSION GUIDE 134
13.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 140
13.4 AVAILABLE CUSTOMIZATIONS 142
13.5 RELATED REPORTS 142
13.6 AUTHOR DETAILS 143



List of Figures



FIGURE 1 GLOBAL ALGORITHMIC TRADING MARKET: RESEARCH DESIGN 21
FIGURE 2 ALGORITHMIC TRADING MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES 25
FIGURE 3 NORTH AMERICA TO ACCOUNT FOR THE HIGHEST MARKET SHARE IN 2019 30
FIGURE 4 ALGORITHMIC TRADING MARKET SNAPSHOT, BY COMPONENT, 2019 31
FIGURE 5 ALGORITHMIC TRADING MARKET SNAPSHOT, BY SOLUTION, 2019 31
FIGURE 6 ALGORITHMIC TRADING MARKET SNAPSHOT, BY SERVICE, 2019 32
FIGURE 7 ALGORITHMIC TRADING MARKET SNAPSHOT, BY DEPLOYMENT MODE, 2019 32
FIGURE 8 ALGORITHMIC TRADING MARKET SNAPSHOT, BY ENTERPRISE SIZE, 2019 33
FIGURE 9 INCREASING DEMAND FOR FAST, RELIABLE, AND EFFECTIVE ORDER EXECUTION AND REDUCED TRANSACTIONAL COST TO DRIVE THE ADOPTION OF ALGORITHMIC TRADING 34
FIGURE 10 EXCHANGE-TRADED FUND SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 34
FIGURE 11 STOCK MARKETS SEGMENT AND NORTH AMERICA TO ACCOUNT FOR THE HIGHEST MARKET SHARES IN THE ALGORITHMIC TRADING MARKET IN 2019 35
FIGURE 12 STOCK MARKETS SEGMENT TO REGISTER THE HIGHEST MARKET SHARE IN 2019 35
FIGURE 13 ASIA PACIFIC TO BE THE BEST MARKET FOR INVESTMENTS DURING THE FORECAST PERIOD 36
FIGURE 14 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: ALGORITHMIC TRADING MARKET 37
FIGURE 15 ARCHITECTURE AND DEVELOPMENT: ALGORITHMIC TRADING MARKET 44
FIGURE 16 EXCHANGE-TRADED FUND SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 48
FIGURE 17 SERVICES SEGMENT TO RECORD A HIGHER CAGR DURING THE FORECAST PERIOD 55
FIGURE 18 PLATFORMS SEGMENT TO RECORD A HIGHER CAGR DURING
THE FORECAST PERIOD 56
FIGURE 19 MANAGED SERVICES SEGMENT TO GROW AT A HIGHER CAGR DURING
THE FORECAST PERIOD 59
FIGURE 20 CLOUD SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD 63
FIGURE 21 SMALL AND MEDIUM-SIZED ENTERPRISES SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD 67
FIGURE 22 NORTH AMERICA TO HOLD THE LARGEST MARKET SIZE DURING
THE FORECAST PERIOD 71
FIGURE 23 INDIA TO REGISTER THE HIGHEST CAGR DURING THE FORECAST PERIOD 72
FIGURE 24 ASIA PACIFIC TO ACCOUNT FOR THE HIGHEST CAGR IN 2019 72
FIGURE 25 NORTH AMERICA: MARKET SNAPSHOT 74
FIGURE 26 ETF TRADING TYPE TO GROW AT THE HIGHEST CAGR DURING
THE FORECAST PERIOD 75
FIGURE 27 ETF TRADING TYPE TO GROW AT THE HIGHEST CAGR DURING
THE FORECAST PERIOD 79
FIGURE 28 ASIA PACIFIC: MARKET SNAPSHOT 85
FIGURE 29 ETF TRADING TYPE TO GROW AT THE HIGHEST CAGR DURING
THE FORECAST PERIOD 86
FIGURE 30 ETF TRADING TYPE TO GROW AT THE HIGHEST CAGR DURING
THE FORECAST PERIOD 91
FIGURE 31 ETF TRADING TYPE TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 96
FIGURE 32 ALGORITHMIC TRADING MARKET (GLOBAL)
COMPETITIVE LEADERSHIP MAPPING, 2019 101
FIGURE 33 THOMSON REUTERS: COMPANY SNAPSHOT 105
FIGURE 34 THOMSON REUTERS: SWOT ANALYSIS 107
FIGURE 35 63MOONS: COMPANY SNAPSHOT 108
FIGURE 36 63MOONS: SWOT ANALYSIS 110
FIGURE 37 VIRTU FINANCIAL: COMPANY SNAPSHOT 111
FIGURE 38 VIRTU FINANCIAL: SWOT ANALYSIS 113
FIGURE 39 SOFTWARE AG: COMPANY SNAPSHOT 114
FIGURE 40 SOFTWARE AG: SWOT ANALYSIS 116

 

List of Tables



TABLE 1 UNITED STATES DOLLAR EXCHANGE RATE, 2015–2017 20
TABLE 2 FACTOR ANALYSIS 26
TABLE 3 GLOBAL ALGORITHMIC TRADING MARKET SIZE AND GROWTH 2017–2024 (USD MILLION, Y-O-Y %) 30
TABLE 4 ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE 2017–2024 (USD MILLION) 47
TABLE 5 FOREX: ALGORITHMIC TRADING MARKET SIZE, BY REGION 2017–2024 (USD MILLION) 48
TABLE 6 STOCK MARKETS: ALGORITHMIC TRADING MARKET SIZE, BY REGION 2017–2024 (USD MILLION) 49
TABLE 7 EXCHANGE-TRADED FUNDS: ALGORITHMIC TRADING MARKET SIZE, BY REGION, 2017–2024 (USD MILLION) 50
TABLE 8 BONDS: ALGORITHMIC TRADING MARKET SIZE, BY REGION 2017–2024 (USD MILLION) 51
TABLE 9 CRYPTOCURRENCIES: ALGORITHMIC TRADING MARKET SIZE, BY REGION 2017–2024 (USD MILLION) 52
TABLE 10 OTHERS: ALGORITHMIC TRADING MARKET SIZE, BY REGION 2017–2024 (USD MILLION) 53
TABLE 11 ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT 2017–2024 (USD MILLION) 55
TABLE 12 ALGORITHMIC TRADING MARKET SIZE, BY SOLUTION , 2017–2024 (USD MILLION) 56
TABLE 13 PLATFORMS: ALGORITHMIC TRADING MARKET SIZE, BY REGION 2017–2024 (USD MILLION) 57
TABLE 14 SOFTWARE TOOLS: ALGORITHMIC TRADING MARKET SIZE, BY REGION 2017–2024 (USD MILLION) 58
TABLE 15 ALGORITHMIC TRADING MARKET SIZE, BY SERVICE, 2017–2024 (USD MILLION) 59
TABLE 16 PROFESSIONAL SERVICES: ALGORITHMIC TRADING MARKET SIZE, BY REGION, 2017–2024 (USD MILLION) 60
TABLE 17 MANAGED SERVICES: ALGORITHMIC TRADING MARKET SIZE, BY REGION 2017–2024 (USD MILLION) 61
TABLE 18 ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT MODE 2017–2024 (USD MILLION) 63
TABLE 19 CLOUD: ALGORITHMIC TRADING MARKET SIZE, BY REGION 2017–2024 (USD MILLION) 64
TABLE 20 ON-PREMISES: ALGORITHMIC TRADING MARKET SIZE, BY REGION 2017–2024 (USD MILLION) 65
TABLE 21 ALGORITHMIC TRADING MARKET SIZE, BY ORGANIZATION SIZE 2017–2024 (USD MILLION) 67
TABLE 22 SMALL AND MEDIUM-SIZED ENTERPRISES: ALGORITHMIC TRADING MARKET SIZE, BY REGION, 2017–2024 (USD MILLION) 68
TABLE 23 LARGE ENTERPRISES: ALGORITHMIC TRADING MARKET SIZE, BY REGION 2017–2024 (USD MILLION) 69
TABLE 24 ALGORITHMIC TRADING MARKET SIZE, BY REGION, 2017–2024 (USD MILLION) 73
TABLE 25 NORTH AMERICA: ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2017–2024 (USD MILLION) 75
TABLE 26 NORTH AMERICA: ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT 2017–2024 (USD MILLION) 76
TABLE 27 NORTH AMERICA: ALGORITHMIC TRADING MARKET SIZE, BY SOLUTION 2017–2024 (USD MILLION) 76
TABLE 28 NORTH AMERICA: ALGORITHMIC TRADING MARKET SIZE, BY SERVICE 2017–2024 (USD MILLION) 76
TABLE 29 NORTH AMERICA: ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT MODE, 2017–2024 (USD MILLION) 77
TABLE 30 NORTH AMERICA: ALGORITHMIC TRADING MARKET SIZE, BY ENTERPRISE SIZE, 2017–2024 (USD MILLION) 77
TABLE 31 NORTH AMERICA: ALGORITHMIC TRADING MARKET SIZE, BY COUNTRY 2017–2024 (USD MILLION) 77
TABLE 32 NORTH AMERICA: MAJOR FINTECH COMPANIES 78
TABLE 33 EUROPE: ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE 2017–2024 (USD MILLION) 80
TABLE 34 EUROPE: ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT 2017–2024 (USD MILLION) 80
TABLE 35 EUROPE: ALGORITHMIC TRADING MARKET SIZE, BY SOLUTION 2017–2024 (USD MILLION) 81
TABLE 36 EUROPE: ALGORITHMIC TRADING MARKET SIZE, BY SERVICE 2017–2024 (USD MILLION) 81
TABLE 37 EUROPE: ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT MODE 2017–2024 (USD MILLION) 81
TABLE 38 EUROPE: ALGORITHMIC TRADING MARKET SIZE, BY ENTERPRISE SIZE 2017–2024 (USD MILLION) 82
TABLE 39 EUROPE: ALGORITHMIC TRADING MARKET SIZE, BY COUNTRY 2017–2024 (USD MILLION) 82
TABLE 40 EUROPE: MAJOR FINTECH COMPANIES 84
TABLE 41 ASIA PACIFIC: ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE 2017–2024 (USD MILLION) 86
TABLE 42 ASIA PACIFIC: ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT 2017–2024 (USD MILLION) 87
TABLE 43 ASIA PACIFIC: ALGORITHMIC TRADING MARKET SIZE, BY SOLUTION 2017–2024 (USD MILLION) 87
TABLE 44 ASIA PACIFIC: ALGORITHMIC TRADING MARKET SIZE, BY SERVICE 2017–2024 (USD MILLION) 87
TABLE 45 ASIA PACIFIC: ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT MODE, 2017–2024 (USD MILLION) 88
TABLE 46 ASIA PACIFIC: ALGORITHMIC TRADING MARKET SIZE, BY ENTERPRISE SIZE 2017–2024 (USD MILLION) 88
TABLE 47 ASIA PACIFIC: ALGORITHMIC TRADING MARKET SIZE, BY COUNTRY 2017–2024 (USD MILLION) 88
TABLE 48 ASIA PACIFIC: MAJOR FINTECH COMPANIES 90
TABLE 49 MIDDLE EAST AND AFRICA: ALGORITHMIC TRADING MARKET SIZE BY TRADING TYPE, 2017–2024 (USD MILLION) 92
TABLE 50 MIDDLE EAST AND AFRICA: ALGORITHMIC TRADING MARKET SIZE BY COMPONENT, 2017–2024 (USD MILLION) 92
TABLE 51 MIDDLE EAST AND AFRICA: ALGORITHMIC TRADING MARKET SIZE BY SOLUTION, 2017–2024 (USD MILLION) 93
TABLE 52 MIDDLE EAST AND AFRICA: ALGORITHMIC TRADING MARKET SIZE BY SERVICE, 2017–2024 (USD MILLION) 93
TABLE 53 MIDDLE EAST AND AFRICA: ALGORITHMIC TRADING MARKET SIZE BY DEPLOYMENT MODE, 2017–2024 (USD MILLION) 93
TABLE 54 MIDDLE EAST AND AFRICA: ALGORITHMIC TRADING MARKET SIZE, BY ENTERPRISE SIZE, 2017–2024 (USD MILLION) 94
TABLE 55 MIDDLE EAST AND AFRICA: ALGORITHMIC TRADING MARKET SIZE, BY COUNTRY, 2017–2024 (USD MILLION) 94
TABLE 56 MIDDLE EAST AND AFRICA: MAJOR FINTECH COMPANIES 95
TABLE 57 LATIN AMERICA: ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE 2017–2024 (USD MILLION) 96
TABLE 58 LATIN AMERICA: ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT 2017–2024 (USD MILLION) 97
TABLE 59 LATIN AMERICA: ALGORITHMIC TRADING MARKET SIZE, BY SOLUTION 2017–2024 (USD MILLION) 97
TABLE 60 LATIN AMERICA: ALGORITHMIC TRADING MARKET SIZE, BY SERVICE 2017–2024 (USD MILLION) 97
TABLE 61 LATIN AMERICA: ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT MODE, 2017–2024 (USD MILLION) 98
TABLE 62 LATIN AMERICA: ALGORITHMIC TRADING MARKET SIZE, BY ENTERPRISE SIZE, 2017–2024 (USD MILLION) 98
TABLE 63 LATIN AMERICA: ALGORITHMIC TRADING MARKET SIZE, BY COUNTRY 2017–2024 (USD MILLION) 98
TABLE 64 LATIN AMERICA: MAJOR FINTECH COMPANIES 99