Algorithmic Trading Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2023-2028
Market Overview:
The global algorithmic trading market reached a value of US$ 14.0 Billion in 2022. Looking forward, IMARC Group expects the market to reach US$ 26.8 Billion by 2028, exhibiting a CAGR of 12% during 2023-2028.
Algorithmic trading, or Algo-trading, is the procedure of using computer programs with a pre-defined set of instructions to administer a trading activity. The instructions are based on prices, timing, quantity and numerous other parameters of a mathematical model. It aims to generate profits, reduce transactional costs and allow investors to take control of the trading process through a computer. Apart from this, algo-trading makes the market more flexible, as well as systematic, by ruling out any human influences. It is also used for high-frequency trading (HFT) that involves placing large trade orders across multiple markets and facilitate prompt decision-making.
Algo-trading enables quick profit generation and an increased frequency, which is practically impossible for any human trader. This benefit of algorithmic trading is the key factor driving the market growth. Enterprises are emphasizing on policies for building low-risk infrastructure and optimizing data management strategies through algorithmic trading. Furthermore, the emergence of Artificial Intelligence (AI) is acting as a major growth-inducing factor for the market. The AI assists in creating efficient trading opportunities through portfolio diversification and the global distribution of savings, along with risk sharing. In addition to this, the rising trend of cloud computing across both the developed and emerging nations is also catalyzing the growth of the market. Vendors offer cloud-based trading options to automate the trading process, reduce operational costs, and provide transactional flexibility to consumers. Dealers are also establishing risk management platforms with the aim to provide market surveillance monitoring and detect fraudulent activities in the automated trading system.
IMARC Group’s latest report provides a deep insight into the global algorithmic trading market covering all its essential aspects. This ranges from macro overview of the market to micro details of the industry performance, recent trends, key market drivers and challenges, SWOT analysis, Porter’s five forces analysis, value chain analysis, etc. This report is a must-read for industry players, investors, researchers, consultants, business strategists, and all those who have any kind of stake or are planning to foray into the algorithmic trading market in any manner.
Key Market Segmentation:
IMARC Group provides an analysis of the key trends in each segment of the global algorithmic trading market report, along with forecasts at the global and regional levels from 2023-2028. Our report has categorized the market based on trading type, components, deployment model and organization size.
Breakup by Trading Type:
Foreign Exchange (FOREX)
Stock Markets
Exchange-Traded Fund (ETF)
Bonds
Cryptocurrencies
Others
Breakup by Components:
Solutions
Platforms
Software Tools
Services
Professional Services
Managed Services
Breakup by Deployment Model:
On-Premises
Cloud
Breakup by Organization Size:
Small and Medium Enterprises
Large Enterprises
Breakup by Region:
North America
Europe
Asia Pacific
Latin America
Middle East and Africa
Competitive Landscape:
The report has also analyzed the competitive landscape of the market with some of the key players being Vela Trading Systems LLC, Meta-Quotes Limited, Trading Technologies International Inc., Software AG, AlgoTrader, uTrade Solutions Private Limited, Automated Trading SoftTech Private Limited, Kuberre Systems Inc., InfoReach Inc., Virtu Financial Inc., Tata Consultancy Services, Argo Group International Holdings Limited, Thomson Reuters Corporation, iRageCapital Advisory Private Limited, and 63 Moons Technologies Ltd.
Key Questions Answered in This Report
1. What was the size of the global algorithmic trading market in 2022?
2. What is the expected growth rate of the global algorithmic trading market during 2023-2028?
3. What are the key factors driving the global algorithmic trading market?
4. What has been the impact of COVID-19 on the global algorithmic trading market?
5. What is the breakup of the global algorithmic trading market based on the components?
6. What is the breakup of the global algorithmic trading market based on the deployment model?
7. What are the key regions in the global algorithmic trading market?
8. Who are the key players/companies in the global algorithmic trading market?
The global algorithmic trading market reached a value of US$ 14.0 Billion in 2022. Looking forward, IMARC Group expects the market to reach US$ 26.8 Billion by 2028, exhibiting a CAGR of 12% during 2023-2028.
Algorithmic trading, or Algo-trading, is the procedure of using computer programs with a pre-defined set of instructions to administer a trading activity. The instructions are based on prices, timing, quantity and numerous other parameters of a mathematical model. It aims to generate profits, reduce transactional costs and allow investors to take control of the trading process through a computer. Apart from this, algo-trading makes the market more flexible, as well as systematic, by ruling out any human influences. It is also used for high-frequency trading (HFT) that involves placing large trade orders across multiple markets and facilitate prompt decision-making.
Algo-trading enables quick profit generation and an increased frequency, which is practically impossible for any human trader. This benefit of algorithmic trading is the key factor driving the market growth. Enterprises are emphasizing on policies for building low-risk infrastructure and optimizing data management strategies through algorithmic trading. Furthermore, the emergence of Artificial Intelligence (AI) is acting as a major growth-inducing factor for the market. The AI assists in creating efficient trading opportunities through portfolio diversification and the global distribution of savings, along with risk sharing. In addition to this, the rising trend of cloud computing across both the developed and emerging nations is also catalyzing the growth of the market. Vendors offer cloud-based trading options to automate the trading process, reduce operational costs, and provide transactional flexibility to consumers. Dealers are also establishing risk management platforms with the aim to provide market surveillance monitoring and detect fraudulent activities in the automated trading system.
IMARC Group’s latest report provides a deep insight into the global algorithmic trading market covering all its essential aspects. This ranges from macro overview of the market to micro details of the industry performance, recent trends, key market drivers and challenges, SWOT analysis, Porter’s five forces analysis, value chain analysis, etc. This report is a must-read for industry players, investors, researchers, consultants, business strategists, and all those who have any kind of stake or are planning to foray into the algorithmic trading market in any manner.
Key Market Segmentation:
IMARC Group provides an analysis of the key trends in each segment of the global algorithmic trading market report, along with forecasts at the global and regional levels from 2023-2028. Our report has categorized the market based on trading type, components, deployment model and organization size.
Breakup by Trading Type:
Foreign Exchange (FOREX)
Stock Markets
Exchange-Traded Fund (ETF)
Bonds
Cryptocurrencies
Others
Breakup by Components:
Solutions
Platforms
Software Tools
Services
Professional Services
Managed Services
Breakup by Deployment Model:
On-Premises
Cloud
Breakup by Organization Size:
Small and Medium Enterprises
Large Enterprises
Breakup by Region:
North America
Europe
Asia Pacific
Latin America
Middle East and Africa
Competitive Landscape:
The report has also analyzed the competitive landscape of the market with some of the key players being Vela Trading Systems LLC, Meta-Quotes Limited, Trading Technologies International Inc., Software AG, AlgoTrader, uTrade Solutions Private Limited, Automated Trading SoftTech Private Limited, Kuberre Systems Inc., InfoReach Inc., Virtu Financial Inc., Tata Consultancy Services, Argo Group International Holdings Limited, Thomson Reuters Corporation, iRageCapital Advisory Private Limited, and 63 Moons Technologies Ltd.
Key Questions Answered in This Report
1. What was the size of the global algorithmic trading market in 2022?
2. What is the expected growth rate of the global algorithmic trading market during 2023-2028?
3. What are the key factors driving the global algorithmic trading market?
4. What has been the impact of COVID-19 on the global algorithmic trading market?
5. What is the breakup of the global algorithmic trading market based on the components?
6. What is the breakup of the global algorithmic trading market based on the deployment model?
7. What are the key regions in the global algorithmic trading market?
8. Who are the key players/companies in the global algorithmic trading market?
1 PREFACE
2 SCOPE AND METHODOLOGY
2.1Objectives of the Study
2.2Stakeholders
2.3Data Sources
2.3.1Primary Sources
2.3.2Secondary Sources
2.4Market Estimation
2.4.1Bottom-Up Approach
2.4.2Top-Down Approach
2.5Forecasting Methodology
3 EXECUTIVE SUMMARY
4 INTRODUCTION
4.1Overview
4.2Key Industry Trends
5 GLOBAL ALGORITHMIC TRADING MARKET
5.1Market Overview
5.2Market Performance
5.3Impact of COVID-19
5.4Market Breakup by Trading Type
5.5Market Breakup by Components
5.6Market Breakup by Deployment Model
5.7Market Breakup by Organization Size
5.8Market Breakup by Region
5.9Market Forecast
6 MARKET BREAKUP BY TRADING TYPE
6.1Foreign Exchange (FOREX)
6.1.1 Market Trends
6.1.2 Market Forecast
6.2Stock Markets
6.2.1 Market Trends
6.2.2 Market Forecast
6.3Exchange-Traded Fund (ETF)
6.3.1 Market Trends
6.3.2 Market Forecast
6.4Bonds
6.4.1 Market Trends
6.4.2 Market Forecast
6.5Cryptocurrencies
6.5.1 Market Trends
6.5.2 Market Forecast
6.6Others
6.6.1 Market Trends
6.6.2 Market Forecast
7 MARKET BREAKUP BY COMPONENTS
7.1Solutions
7.1.1 Market Trends
7.1.2 Major Types
7.1.2.1 Platforms
7.1.2.2 Software Tools
7.1.3 Market Forecast
7.2Services
7.2.1 Market Trends
7.2.2 Major Types
7.2.2.1 Professional Services
7.2.2.2 Managed Services
7.2.3 Market Forecast
8 MARKET BREAKUP BY DEPLOYMENT MODEL
8.1On-Premises
8.1.1 Market Trends
8.1.2 Market Forecast
8.2Cloud
8.2.1 Market Trends
8.2.2 Market Forecast
9 MARKET BREAKUP BY ORGANIZATION SIZE
9.1Small and Medium Enterprises
9.1.1 Market Trends
9.1.2 Market Forecast
9.2Large Enterprises
9.2.1 Market Trends
9.2.2 Market Forecast
10 MARKET BREAKUP BY REGION
10.1North America
10.1.1 Market Trends
10.1.2 Market Forecast
10.2Europe
10.2.1 Market Trends
10.2.2 Market Forecast
10.3Asia Pacific
10.3.1 Market Trends
10.3.2 Market Forecast
10.4Middle East and Africa
10.4.1 Market Trends
10.4.2 Market Forecast
10.5Latin America
10.5.1 Market Trends
10.5.2 Market Forecast
11 SWOT ANALYSIS
11.1Overview
11.2Strengths
11.3Weaknesses
11.4Opportunities
11.5Threats
12 VALUE CHAIN ANALYSIS
13 PORTER’S FIVE FORCES ANALYSIS
13.1Overview
13.2Bargaining Power of Buyers
13.3Bargaining Power of Suppliers
13.4Degree of Competition
13.5Threat of New Entrants
13.6Threat of Substitutes
14 COMPETITIVE LANDSCAPE
14.1Market Structure
14.2Key Players
14.3Profiles of Key Players
14.3.1 Vela Trading Systems LLC
14.3.2 Meta-Quotes Limited
14.3.3 Trading Technologies International Inc.
14.3.4 Software AG
14.3.5 AlgoTrader
14.3.6 uTrade Solutions Private Limited
14.3.7 Automated Trading SoftTech Private Limited
14.3.8 Kuberre Systems Inc.
14.3.9 InfoReach Inc.
14.3.10 Virtu Financial Inc.
14.3.11 Tata Consultancy Services
14.3.12 Argo Group International Holdings Limited
14.3.13 Thomson Reuters Corporation
14.3.14 iRageCapital Advisory Private Limited
14.3.15 63 Moons Technologies Ltd.
2 SCOPE AND METHODOLOGY
2.1Objectives of the Study
2.2Stakeholders
2.3Data Sources
2.3.1Primary Sources
2.3.2Secondary Sources
2.4Market Estimation
2.4.1Bottom-Up Approach
2.4.2Top-Down Approach
2.5Forecasting Methodology
3 EXECUTIVE SUMMARY
4 INTRODUCTION
4.1Overview
4.2Key Industry Trends
5 GLOBAL ALGORITHMIC TRADING MARKET
5.1Market Overview
5.2Market Performance
5.3Impact of COVID-19
5.4Market Breakup by Trading Type
5.5Market Breakup by Components
5.6Market Breakup by Deployment Model
5.7Market Breakup by Organization Size
5.8Market Breakup by Region
5.9Market Forecast
6 MARKET BREAKUP BY TRADING TYPE
6.1Foreign Exchange (FOREX)
6.1.1 Market Trends
6.1.2 Market Forecast
6.2Stock Markets
6.2.1 Market Trends
6.2.2 Market Forecast
6.3Exchange-Traded Fund (ETF)
6.3.1 Market Trends
6.3.2 Market Forecast
6.4Bonds
6.4.1 Market Trends
6.4.2 Market Forecast
6.5Cryptocurrencies
6.5.1 Market Trends
6.5.2 Market Forecast
6.6Others
6.6.1 Market Trends
6.6.2 Market Forecast
7 MARKET BREAKUP BY COMPONENTS
7.1Solutions
7.1.1 Market Trends
7.1.2 Major Types
7.1.2.1 Platforms
7.1.2.2 Software Tools
7.1.3 Market Forecast
7.2Services
7.2.1 Market Trends
7.2.2 Major Types
7.2.2.1 Professional Services
7.2.2.2 Managed Services
7.2.3 Market Forecast
8 MARKET BREAKUP BY DEPLOYMENT MODEL
8.1On-Premises
8.1.1 Market Trends
8.1.2 Market Forecast
8.2Cloud
8.2.1 Market Trends
8.2.2 Market Forecast
9 MARKET BREAKUP BY ORGANIZATION SIZE
9.1Small and Medium Enterprises
9.1.1 Market Trends
9.1.2 Market Forecast
9.2Large Enterprises
9.2.1 Market Trends
9.2.2 Market Forecast
10 MARKET BREAKUP BY REGION
10.1North America
10.1.1 Market Trends
10.1.2 Market Forecast
10.2Europe
10.2.1 Market Trends
10.2.2 Market Forecast
10.3Asia Pacific
10.3.1 Market Trends
10.3.2 Market Forecast
10.4Middle East and Africa
10.4.1 Market Trends
10.4.2 Market Forecast
10.5Latin America
10.5.1 Market Trends
10.5.2 Market Forecast
11 SWOT ANALYSIS
11.1Overview
11.2Strengths
11.3Weaknesses
11.4Opportunities
11.5Threats
12 VALUE CHAIN ANALYSIS
13 PORTER’S FIVE FORCES ANALYSIS
13.1Overview
13.2Bargaining Power of Buyers
13.3Bargaining Power of Suppliers
13.4Degree of Competition
13.5Threat of New Entrants
13.6Threat of Substitutes
14 COMPETITIVE LANDSCAPE
14.1Market Structure
14.2Key Players
14.3Profiles of Key Players
14.3.1 Vela Trading Systems LLC
14.3.2 Meta-Quotes Limited
14.3.3 Trading Technologies International Inc.
14.3.4 Software AG
14.3.5 AlgoTrader
14.3.6 uTrade Solutions Private Limited
14.3.7 Automated Trading SoftTech Private Limited
14.3.8 Kuberre Systems Inc.
14.3.9 InfoReach Inc.
14.3.10 Virtu Financial Inc.
14.3.11 Tata Consultancy Services
14.3.12 Argo Group International Holdings Limited
14.3.13 Thomson Reuters Corporation
14.3.14 iRageCapital Advisory Private Limited
14.3.15 63 Moons Technologies Ltd.
LIST OF TABLES
Table 1: Global: Algorithmic Trading Market: Key Industry Highlights, 2022 and 2028
Table 2: Global: Algorithmic Trading Market Forecast: Breakup by Trading Type (in Million US$), 2023-2028
Table 3: Global: Algorithmic Trading Market Forecast: Breakup by Components (in Million US$), 2023-2028
Table 4: Global: Algorithmic Trading Market Forecast: Breakup by Deployment Model (in Million US$), 2023-2028
Table 5: Global: Algorithmic Trading Market Forecast: Breakup by Organization Size (in Million US$), 2023-2028
Table 6: Global: Algorithmic Trading Market Forecast: Breakup by Region (in Million US$), 2023-2028
Table 7: Global: Algorithmic Trading Market Structure
Table 8: Global: Algorithmic Trading Market: Key Players
Table 1: Global: Algorithmic Trading Market: Key Industry Highlights, 2022 and 2028
Table 2: Global: Algorithmic Trading Market Forecast: Breakup by Trading Type (in Million US$), 2023-2028
Table 3: Global: Algorithmic Trading Market Forecast: Breakup by Components (in Million US$), 2023-2028
Table 4: Global: Algorithmic Trading Market Forecast: Breakup by Deployment Model (in Million US$), 2023-2028
Table 5: Global: Algorithmic Trading Market Forecast: Breakup by Organization Size (in Million US$), 2023-2028
Table 6: Global: Algorithmic Trading Market Forecast: Breakup by Region (in Million US$), 2023-2028
Table 7: Global: Algorithmic Trading Market Structure
Table 8: Global: Algorithmic Trading Market: Key Players
LIST OF FIGURES
Figure 1: Global: Algorithmic Trading Market: Major Drivers and Challenges
Figure 2: Global: Algorithmic Trading Market: Sales Value (in Billion US$), 2017-2022
Figure 3: Global: Algorithmic Trading Market: Breakup by Trading Type (in %), 2022
Figure 4: Global: Algorithmic Trading Market: Breakup by Components (in %), 2022
Figure 5: Global: Algorithmic Trading Market: Breakup by Deployment Model (in %), 2022
Figure 6: Global: Algorithmic Trading Market: Breakup by Organization Size (in %), 2022
Figure 7: Global: Algorithmic Trading Market: Breakup by Region (in %), 2022
Figure 8: Global: Algorithmic Trading Market Forecast: Sales Value (in Billion US$), 2023-2028
Figure 9: Global: Algorithmic Trading Industry: SWOT Analysis
Figure 10: Global: Algorithmic Trading Industry: Value Chain Analysis
Figure 11: Global: Algorithmic Trading Industry: Porter’s Five Forces Analysis
Figure 12: Global: Algorithmic Trading (Foreign Exchange- FOREX) Market: Sales Value (in Million US$), 2017 & 2022
Figure 13: Global: Algorithmic Trading (Foreign Exchange- FOREX) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 14: Global: Algorithmic Trading (Stock Markets) Market: Sales Value (in Million US$), 2017 & 2022
Figure 15: Global: Algorithmic Trading (Stock Markets) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 16: Global: Algorithmic Trading (Exchange-Traded Fund- ETF) Market: Sales Value (in Million US$), 2017 & 2022
Figure 17: Global: Algorithmic Trading (Exchange-Traded Fund- ETF) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 18: Global: Algorithmic Trading (Bonds) Market: Sales Value (in Million US$), 2017 & 2022
Figure 19: Global: Algorithmic Trading (Bonds) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 20: Global: Algorithmic Trading (Cryptocurrencies) Market: Sales Value (in Million US$), 2017 & 2022
Figure 21: Global: Algorithmic Trading (Cryptocurrencies) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 22: Global: Algorithmic Trading (Other Trading Types) Market: Sales Value (in Million US$), 2017 & 2022
Figure 23: Global: Algorithmic Trading (Other Trading Types) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 24: Global: Algorithmic Trading (Solutions) Market: Sales Value (in Million US$), 2017 & 2022
Figure 25: Global: Algorithmic Trading (Solutions) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 26: Global: Algorithmic Trading (Services) Market: Sales Value (in Million US$), 2017 & 2022
Figure 27: Global: Algorithmic Trading (Services) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 28: Global: Algorithmic Trading (On-Premises) Market: Sales Value (in Million US$), 2017 & 2022
Figure 29: Global: Algorithmic Trading (On-Premises) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 30: Global: Algorithmic Trading (Cloud) Market: Sales Value (in Million US$), 2017 & 2022
Figure 31: Global: Algorithmic Trading (Cloud) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 32: Global: Algorithmic Trading (Small and Medium Enterprises) Market: Sales Value (in Million US$), 2017 & 2022
Figure 33: Global: Algorithmic Trading (Small and Medium Enterprises) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 34: Global: Algorithmic Trading (Large Enterprises) Market: Sales Value (in Million US$), 2017 & 2022
Figure 35: Global: Algorithmic Trading (Large Enterprises) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 36: North America: Algorithmic Trading Market: Sales Value (in Million US$), 2017 & 2022
Figure 37: North America: Algorithmic Trading Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 38: Europe: Algorithmic Trading Market: Sales Value (in Million US$), 2017 & 2022
Figure 39: Europe: Algorithmic Trading Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 40: Asia Pacific: Algorithmic Trading Market: Sales Value (in Million US$), 2017 & 2022
Figure 41: Asia Pacific: Algorithmic Trading Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 42: Middle East and Africa: Algorithmic Trading Market: Sales Value (in Million US$), 2017 & 2022
Figure 43: Middle East and Africa: Algorithmic Trading Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 44: Latin America: Algorithmic Trading Market: Sales Value (in Million US$), 2017 & 2022
Figure 45: Latin America: Algorithmic Trading Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 1: Global: Algorithmic Trading Market: Major Drivers and Challenges
Figure 2: Global: Algorithmic Trading Market: Sales Value (in Billion US$), 2017-2022
Figure 3: Global: Algorithmic Trading Market: Breakup by Trading Type (in %), 2022
Figure 4: Global: Algorithmic Trading Market: Breakup by Components (in %), 2022
Figure 5: Global: Algorithmic Trading Market: Breakup by Deployment Model (in %), 2022
Figure 6: Global: Algorithmic Trading Market: Breakup by Organization Size (in %), 2022
Figure 7: Global: Algorithmic Trading Market: Breakup by Region (in %), 2022
Figure 8: Global: Algorithmic Trading Market Forecast: Sales Value (in Billion US$), 2023-2028
Figure 9: Global: Algorithmic Trading Industry: SWOT Analysis
Figure 10: Global: Algorithmic Trading Industry: Value Chain Analysis
Figure 11: Global: Algorithmic Trading Industry: Porter’s Five Forces Analysis
Figure 12: Global: Algorithmic Trading (Foreign Exchange- FOREX) Market: Sales Value (in Million US$), 2017 & 2022
Figure 13: Global: Algorithmic Trading (Foreign Exchange- FOREX) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 14: Global: Algorithmic Trading (Stock Markets) Market: Sales Value (in Million US$), 2017 & 2022
Figure 15: Global: Algorithmic Trading (Stock Markets) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 16: Global: Algorithmic Trading (Exchange-Traded Fund- ETF) Market: Sales Value (in Million US$), 2017 & 2022
Figure 17: Global: Algorithmic Trading (Exchange-Traded Fund- ETF) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 18: Global: Algorithmic Trading (Bonds) Market: Sales Value (in Million US$), 2017 & 2022
Figure 19: Global: Algorithmic Trading (Bonds) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 20: Global: Algorithmic Trading (Cryptocurrencies) Market: Sales Value (in Million US$), 2017 & 2022
Figure 21: Global: Algorithmic Trading (Cryptocurrencies) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 22: Global: Algorithmic Trading (Other Trading Types) Market: Sales Value (in Million US$), 2017 & 2022
Figure 23: Global: Algorithmic Trading (Other Trading Types) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 24: Global: Algorithmic Trading (Solutions) Market: Sales Value (in Million US$), 2017 & 2022
Figure 25: Global: Algorithmic Trading (Solutions) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 26: Global: Algorithmic Trading (Services) Market: Sales Value (in Million US$), 2017 & 2022
Figure 27: Global: Algorithmic Trading (Services) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 28: Global: Algorithmic Trading (On-Premises) Market: Sales Value (in Million US$), 2017 & 2022
Figure 29: Global: Algorithmic Trading (On-Premises) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 30: Global: Algorithmic Trading (Cloud) Market: Sales Value (in Million US$), 2017 & 2022
Figure 31: Global: Algorithmic Trading (Cloud) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 32: Global: Algorithmic Trading (Small and Medium Enterprises) Market: Sales Value (in Million US$), 2017 & 2022
Figure 33: Global: Algorithmic Trading (Small and Medium Enterprises) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 34: Global: Algorithmic Trading (Large Enterprises) Market: Sales Value (in Million US$), 2017 & 2022
Figure 35: Global: Algorithmic Trading (Large Enterprises) Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 36: North America: Algorithmic Trading Market: Sales Value (in Million US$), 2017 & 2022
Figure 37: North America: Algorithmic Trading Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 38: Europe: Algorithmic Trading Market: Sales Value (in Million US$), 2017 & 2022
Figure 39: Europe: Algorithmic Trading Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 40: Asia Pacific: Algorithmic Trading Market: Sales Value (in Million US$), 2017 & 2022
Figure 41: Asia Pacific: Algorithmic Trading Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 42: Middle East and Africa: Algorithmic Trading Market: Sales Value (in Million US$), 2017 & 2022
Figure 43: Middle East and Africa: Algorithmic Trading Market Forecast: Sales Value (in Million US$), 2023-2028
Figure 44: Latin America: Algorithmic Trading Market: Sales Value (in Million US$), 2017 & 2022
Figure 45: Latin America: Algorithmic Trading Market Forecast: Sales Value (in Million US$), 2023-2028
