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The algorithmic trading market is projected to grow by USD 15.33 billion from 2024 to 2028, driven by rising demand for AI-powered market surveillance- Technavio

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NEW YORK, Sept. 6, 2024 /PRNewswire/ — Report on how AI is driving market transformation- The global algorithmic trading market size is estimated to grow by USD 15.32 billion from 2024-2028, according to Technavio. The market is estimated to grow at a CAGR of  14.34%  during the forecast period. High demand for market surveillance is driving market growth, with a trend towards technological advancements. However, wider bid-ask spread in APAC  poses a challenge. Key market players include 63 Moons Technologies Ltd., AlgoBlocks, AlgoBulls Technologies Pvt. Ltd., AlpacaDB Inc., Argo SE, Auros, CRYPTO TECHFIN SL, InfoReach Inc., iRageCapital Advisory Pvt. Ltd., MetaQuotes Ltd., QuantConnect Corp., QuantCore Capital Management LLC, Refinitiv, Software AG, Symphony Fintech Solutions Pvt. Ltd., Tata Consultancy Services Ltd., Thomson Reuters Corp., uTrade, Virtu Financial Inc., and Wyden AG.

Key insights into market evolution with AI-powered analysis. Explore trends, segmentation, and growth drivers- View the snapshot of this report

Algorithmic Trading Market Scope

Report Coverage

Details

Base year

2023

Historic period

2018 – 2022

Forecast period

2024-2028

Growth momentum & CAGR

Accelerate at a CAGR of 14.34%

Market growth 2024-2028

USD 15326.2 million

Market structure

Fragmented

YoY growth 2022-2023 (%)

12.7

Regional analysis

North America, APAC, Europe, South America, and Middle East and Africa

Performing market contribution

APAC at 35%

Key countries

US, China, UK, Japan, and Germany

Key companies profiled

63 Moons Technologies Ltd., AlgoBlocks, AlgoBulls Technologies Pvt. Ltd., AlpacaDB Inc., Argo SE, Auros, CRYPTO TECHFIN SL, InfoReach Inc., iRageCapital Advisory Pvt. Ltd., MetaQuotes Ltd., QuantConnect Corp., QuantCore Capital Management LLC, Refinitiv, Software AG, Symphony Fintech Solutions Pvt. Ltd., Tata Consultancy Services Ltd., Thomson Reuters Corp., uTrade, Virtu Financial Inc., and Wyden AG

Market Driver

The introduction of advanced electronic trading technologies has significantly benefited both vendors and customers in the Algorithmic Trading Market. Liquidity aggregation and algorithmic trading across various geographies have expanded market access for participants, reducing risk sharing and resulting in lower trading costs and faster execution times. This has contributed to an increase in FX turnover. New liquidity aggregation methods, such as linking multiple investor pools through algorithms, have reduced search costs, a key feature of the OTC market. Financial institutions are prioritizing transparency in collateral availability, focusing on efficient decision-making and risk reduction in collateral transactions. They plan to invest heavily in collateral management during the forecast period, focusing on optimization, cheapest-to-deliver algorithms, and risk management, aiming to maximize profits and drive market growth. 

Algorithmic trading, also known as Algo trading, is the use of computer programs and mathematical algorithms to make trades in financial markets based on predefined rules. This automated approach is popular among hedge funds, institutional investors, pension funds, mutual funds, and other financial institutions. Algo trading involves the use of complex mathematical models to identify trends and make trades in stocks, bonds, currencies, commodities, and even cryptocurrencies. The trend towards algorithmic trading is driven by the need for speed and efficiency, as well as the desire to minimize human error. Algo trading platforms and professional services offer cloud-based deployment, making it accessible to large enterprises and capital markets firms. However, the use of black box trading and artificial intelligence (AI) raises concerns around market transparency, accountability, and market integrity. Risk management is a key consideration in algorithmic trading, particularly in volatile markets. Market volatility and price fluctuations can impact the performance of financial service algorithms, making risk management an essential component of any Algo trading strategy. Additionally, the use of cloud technologies and cloud-based trading solutions offers business agility and improved liquidity. Despite the benefits, there are challenges associated with Algo trading, including the risk of flash crashes and the need for risk management systems. As the trend towards automation continues, it is essential that market participants prioritize market transparency, accountability, and market integrity to ensure the long-term sustainability of financial markets. 

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Market Challenges

The algorithmic trading market in Asia Pacific (APAC) encounters challenges due to wider bid-ask spreads in various stocks. For instance, the average dealing spread in Singapore’s stocks is approximately 0.75%. Although market liquidity can be substantial, large spreads make trading difficult. Some stocks with high volatility and low turnover pose additional challenges for algorithmic trading. Nevertheless, industry players in APAC are exploring ways to replicate the success of algorithms in the US and Europe. The algorithmic trading market in APAC is still in its initial stages. Countries like China, Japan, Hong Kong, Singapore, and South Korea are leading the way. However, local players in APAC lag behind their counterparts in the Americas and Europe in terms of algorithmic trading strategies. This disparity is anticipated to impede the growth of the market in the forecast period.Algorithmic trading, also known as automated trading, is a method used by institutions and individuals to execute trades faster and more efficiently in the stock market and cryptocurrency market. However, it comes with challenges. Market volatility and price fluctuations can make it difficult for algorithms to make accurate predictions. Market transparency is essential for accountability, but maintaining it can be challenging. Speed and efficiency are key, but ensuring market integrity and preventing flash crashes requires careful consideration. Algorithmic trading platforms and professional services offer solutions, including cloud-based deployment for business agility and accessibility. Large enterprises, institutional investors, pension funds, and mutual funds use these tools. AI and financial service algorithms power automated trading, while matching engines ensure liquidity. Cloud technologies enable automated trading, including cloud-based solutions and hybrid cloud deployments. Blockchain adds security and transparency. Acquisitions and partnerships drive innovation, with workflow solutions, covert execution algorithms, and digital onboarding solutions among the offerings. Automated trading bots, volume, price, and time are essential factors. DoubleVerify ensures accuracy and reliability, while ensuring market integrity remains a top priority.

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Segment Overview 

This algorithmic trading market report extensively covers market segmentation by  

Component 1.1 Solutions1.2 ServicesEnd-user 2.1 Institutional investors2.2 Retail investors2.3 Long-term investors2.4 Short-term investorsGeography 3.1 North America3.2 APAC3.3 Europe3.4 South America3.5 Middle East and Africa

1.1 Solutions-  Algorithmic trading is a method of executing trades automatically based on predefined instructions. It uses complex mathematical models and algorithms to identify trading opportunities and execute trades at optimal prices. This automated approach allows for faster and more accurate trade executions, reducing human error and enhancing overall efficiency in financial markets. Algorithmic trading systems analyze market data in real-time and execute trades based on specific market conditions, providing an edge to traders in today’s fast-paced financial markets.

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Research Analysis

Algorithmic trading, also known as Algo trading, is the use of computer programs and mathematical algorithms to make trades in financial markets based on predefined rules. This automated approach to trading has become increasingly popular in various markets, including stocks, bonds, currencies, commodities, cryptocurrencies, and more. Algorithmic trading allows for faster execution, reduced human error, and the ability to process vast amounts of data in real-time. However, it also presents challenges such as market volatility, price fluctuations, and the need for risk management. Institutional investors, hedge funds, pension funds, mutual funds, and other financial entities use algorithmic trading to gain an edge in the markets. The use of artificial intelligence (AI) and financial service algorithms, as well as cloud-based solutions, is also becoming more prevalent in this field. Despite its benefits, algorithmic trading requires careful design, testing, and monitoring to ensure optimal performance and minimize potential risks.

Market Research Overview

Algorithmic trading, also known as Algo trading, is the use of computer programs and mathematical algorithms to make trades in financial markets based on predefined rules. This automated approach to trading is utilized in various markets, including stocks, bonds, currencies, commodities, and even cryptocurrencies. Algo trading offers several advantages such as speed, efficiency, accessibility, and reduced human error. However, it also presents challenges like market volatility, price fluctuations, and market transparency. Risk management is crucial in Algo trading, as large financial institutions, hedge funds, pension funds, mutual funds, and other institutional investors increasingly rely on this method for executing trades. Algorithmic trading platforms and professional services provide essential tools for these entities, offering cloud-based deployment, automated trading, matching engines, and other advanced features. Cloud technologies, artificial intelligence (AI), and financial service algorithms are driving the evolution of Algo trading, enabling business agility and improved market integrity. However, concerns over market transparency, accountability, and potential flash crashes continue to be addressed through regulatory measures and technological advancements. Key components of Algo trading include automated trading bots, volume, price, time, and various workflow solutions. As the market continues to evolve, we can expect further acquisitions, innovations, and advancements in this area.

Table of Contents:

1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation

ComponentSolutionsServicesEnd-userInstitutional InvestorsRetail InvestorsLong-term InvestorsShort-term InvestorsGeographyNorth AmericaAPACEuropeSouth AmericaMiddle East And Africa

7 Customer Landscape
8 Geographic Landscape
9 Drivers, Challenges, and Trends
10 Company Landscape
11 Company Analysis
12 Appendix

About Technavio

Technavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions.

With over 500 specialized analysts, Technavio’s report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio’s comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

Contacts

Technavio Research
Jesse Maida
Media & Marketing Executive
US: +1 844 364 1100
UK: +44 203 893 3200
Email: media@technavio.com
Website: www.technavio.com/

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SOURCE Technavio

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NUH WINS GOLD AT IHF AWARDS 2026 FOR GREEN OPERATING THEATRE PROGRAMME

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 NUH won Gold and received an Honourable Mention for its sustainability efforts at the International Hospital Federation Awards 2026, alongside presentations of its green surgical initiatives, digital health and organisational improvement initiatives at the World Hospital Congress.

SINGAPORE, Oct. 21, 2026 /PRNewswire/ — The National University Hospital (NUH) has won the Gold Award (Low Carbon Healthcare) for its Green Operating Theatre programme at the International Hospital Federation (IHF) Awards 2026. The hospital also received an Honourable Mention (Hospital Sustainability Acceleration) for its system-wide approach to embedding sustainability across healthcare delivery and hospital operations.

The awards were presented at the 49th World Hospital Congress in Seoul, where NUH is also sharing other initiatives in environmental sustainability, digital health and organisational improvement.

Professor Aymeric Lim, Chief Executive Officer of NUH, said: “Healthcare must become more sustainable without compromising patient care. Our teams have shown that simple, practical changes on the ground, from the way we run our operating theatres to how we use resources, can make a real difference. This recognition belongs to the multi-disciplinary teams and partners who turned ideas into everyday practice, and who continue to improve how we care for our patients.”

Advancing low-carbon healthcare by reducing the environmental impact of surgical care

NUH’s Green Operating Theatre (OT) programme began with efforts to reduce the use of high-carbon anaesthetic gases. What started as a targeted decarbonisation initiative has since grown into a hospital-wide programme that brings together clinicians, nurses, operations teams and facilities staff to drive sustainability across surgical practices, resource use, waste management and energy management.

The programme has achieved a 99 per cent reduction in the use of desflurane, a high-carbon anaesthetic gas, and delivered annual energy savings of about 660,000 kWh by optimising operating theatre ventilation during non-operating hours.

Surgical teams redesigned instrument sets used for high-volume knee replacement procedures to better reflect routine requirements, reducing emissions by almost 10,000 kg CO2e annually while also cutting water use and sterilisation workload. Efforts have also been made to reduce unnecessary consumables and expand medical recycling streams.

Collectively, these initiatives have generated valuable insights that NUH has actively shared through inter-cluster platforms and collaborations, helping to inform the adoption of low-carbon practices across Singapore’s public healthcare system.

Embedding sustainability into everyday healthcare delivery

NUH received an Honourable Mention for its organisation-wide approach to embedding sustainability into hospital planning and operations.

Guided by the IHF Sustainability Accelerator Tool, NUH integrated sustainability into leadership oversight, strategic planning and everyday decision-making, strengthening efforts in Appropriate Value-based Care, virtual care, procurement, workforce engagement and environmental stewardship.

This system-wide approach to advancing a sustainable healthcare system has been recognised internationally. In 2025, NUH became the first hospital worldwide to receive the Joint Commission International-Geneva Sustainability Centre’s Healthcare Sustainability Certification. This year, it was the only hospital in Singapore to be accorded the highest 5-Leaf distinction in Newsweek-Statista’s World’s Greenest Hospitals index.

A new model of rehabilitation care

Recognised as one of the top three healthcare innovations selected for the International Hospital Federation’s i-to-i Innovation Hub Awards 2026, the NUH Virtual Rehabilitation Centre (VRC) is helping to extend rehabilitation beyond hospital walls.

Developed as a virtual-first rehabilitation ecosystem, the VRC combines personalised patient education, self-management tools, AI-enabled telerehabilitation, remote monitoring and digital rehabilitation pathways to support patients throughout their recovery journey. By enabling rehabilitation to continue beyond traditional clinic visits, the VRC improves access to care, strengthens patient participation in recovery and allows therapists to focus their attention on patients with more complex rehabilitation needs. The digital home exercise programme, for instance, supports around 2,000 patients and records about 21,000 logins each month, freeing up the equivalent of 66 physiotherapist workdays annually for direct patient care.

The innovation demonstrates how technology can be used not simply to digitise existing services, but to transform how rehabilitation is delivered at scale.

Helping doctors work smarter with electronic medical records

NUH also presented results from its Great Epic Transformation (GET) programme at the 49th World Hospital Congress in Seoul. The hospital-wide programme trained specialist doctors to personalise their Epic electronic medical record (EMR) workflows, using customised note templates, order sets and shortcuts to work more efficiently.

Nine months after training, participating doctors spent 10.2 per cent less time in the EMR each day, equivalent to more than 33 hours saved per doctor annually, while time spent placing orders fell by 26.5 per cent. Twelve of 13 efficiency measures improved across both medical and surgical specialties. Based on annual estimates, the overall efficiency gains are valued at more than S$91 million a year.

The programme is being extended to allied health professionals and pharmacists across NUHS, with a target of reaching more than 2,000 healthcare professionals by the end of 2026.

About the National University Hospital (NUH)­

The National University Hospital (NUH) is Singapore’s university hospital. While the hospital at Kent Ridge first received its patients on 24 June 1985, our legacy started from 1905, the date of the founding of what is today the NUS Yong Loo Lin School of Medicine. NUH is the principal teaching hospital of the medical school.

Our unique identity as a university hospital is a key attraction for healthcare professionals who aspire to do more than practise tertiary medical care. We offer an environment where research and teaching are an integral part of medicine, and continue to shape medicine and transform care for the community we care for.

We are an academic medical centre with over 1,200 beds, serving more than one million patients a year with over 50 medical, surgical and dental specialties. NUH is the only public and not-for-profit hospital in Singapore to provide trusted care for adults, women and children under one roof, including the only paediatric kidney and liver transplant programme in the country.

The NUH is a key member of the National University Health System (NUHS), one of three public healthcare clusters in Singapore. For more information, visit www.nuh.com.sg

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SOURCE National University Hospital (NUH)

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NEXCOM NGFW platforms secure growing traffic across modern academic networks

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TAIPEI, Oct. 21, 2026 /PRNewswire/ — NEXCOM, a leading supplier of network appliances, is helping academic institutions strengthen network security as digital learning expands across cloud platforms, AI-powered tools, remote access, and connected campus services.

As educational environments become more distributed, academic networks must support growing traffic and diverse connections while protecting sensitive data and maintaining reliable access to learning resources. NEXCOM’s Next-Generation Firewall (NGFW) platforms provide a centralized security layer for inspecting and controlling traffic across campus and remote environments.

Learn more about securing digital learning environments in the joint case study.

Centralized Security for Digital Learning

On campus, NGFW platforms can inspect traffic between academic networks and external resources as students and faculty access learning platforms and web services. For remote users, secure VPN connectivity supports authorized access to internal resources while enabling centralized security policies.

“Every new digital service in education adds value for students and educators, but it also adds traffic, connections, and another layer of security responsibility,” says Allan Chiu, VP of Networking and Communication Solutions at NEXCOM. “The challenge is making sure security keeps pace without slowing down the learning experience. NEXCOM’s NGFW platforms provide the performance and scalability needed to secure modern, highly distributed academic networks.”

Scalable Platforms for Network Security

NEXCOM’s portfolio provides scalable platforms for firewall, edge security, secure remote access, and demanding network security workloads. Key platforms include:

NSA 7160R: A 2U high-performance security platform powered by dual Intel® Xeon® Scalable processors, with eight PCIe 5.0 expansion slots and throughput of up to 1.6 Tbps.FTA 5190: A compact 1U edge server powered by Intel Xeon 6 SoC technology, designed for reliable connectivity and security at the network edge.

About NEXCOM

Founded in 1992 and headquartered in Taipei, Taiwan, NEXCOM is shaping the future of AI-powered networking with its software-defined solutions. Through its Network and Communication Solutions (NCS) unit, NEXCOM delivers cutting-edge platforms for Cybersecurity, OT Security, SD-WAN, SASE, Load Balancing, 5G uCPE, edge AI, and more. NCS specializes in professional design and manufacturing services, enabling reliable and scalable network infrastructures for businesses of all sizes. With a focus on innovation, NEXCOM’s solutions empower customers worldwide to build resilient, high-performance networks tailored to the demands of tomorrow’s connectivity challenges.

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SOURCE NEXCOM International Co., Ltd.

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Forrester’s 2027 B2B Go-To-Market Predictions: AI Agents Will Influence 75% Of B2B Purchase Decisions

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To remain competitive, providers must strengthen customer trust, substantiate value claims, and offer human expertise and guidance

SINGAPORE, Oct. 22, 2026 /PRNewswire/ — According to Forrester’s (Nasdaq: FORR) 2027 B2B go-to-market predictions, business buyers will increasingly deploy AI agents to handle tasks across the buying process, from supplier discovery and information gathering to contract-renewal analysis. While truly autonomous buying will remain concentrated in high-volume, low-risk, and repeatable purchases, the ubiquity of these agents will require providers to ensure that their systems and sellers can respond with speed, accuracy, and consistency.

Forrester’s B2B Predictions reports, covering topics including B2B go-to-market strategy, business buyers, and content and creative, offer forward-looking insights to help executives and their teams anticipate change, reduce uncertainty, and make confident decisions ahead of market shifts. Key highlights from the 2027 B2B go-to-market predictions include:

Buyers will double their human interactions to validate AI-generated recommendations. As AI becomes the primary interface for researching products and providers, buyers will encounter more AI-generated recommendations, synthetic content, automated outreach, and agent-mediated interactions. Since AI cannot fully judge service provider fit, feasibility, trust, or accountability, buyers will require conversations with provider teams and trusted third parties including analysts, customer references, and partners to confirm and validate buying decisions.Two-thirds of providers will lose deals because buyers cannot verify claims. Buyers already use AI-assisted search and analysis tools to gather information about products and vendors, synthesize provider claims, and fact check. As the reliance on these capabilities continue to advance, go-to-market teams will need to act fast to restructure content discovery for AI tools, including providing credible and consistent proof points that AI tools can index and validate.Most CMOs will cut programs or accept reduced capacity after overestimating AI gains. As pressure intensifies to reduce personnel costs with AI, marketing leaders will eliminate as many as 25% of roles in anticipation of productivity gains that fail to meet expectations. As a result, they will have to choose between cutting program budgets to restore capacity through rehiring, contractors, or agency support or accept reduced execution with a smaller team. In either case, lower campaign investment, weaker execution, or both will reduce marketing’s overall value contribution.

“In 2027, the defining challenge for B2B go-to-market leaders will be to make deliberate choices about what to automate and where human judgment still matters,” said Sharyn Leaver, chief research officer at Forrester. “As AI becomes ubiquitous across the buying process, B2B leaders that pair AI-driven speed and convenience with transparency, control, and trust will extract the most value from AI.”

Resources:

Download Forrester’s 2027 Predictions guide for B2B go-to-market.Register for Forrester’s webinar exploring the key trends reshaping B2B go-to-market strategies in 2027.Learn how to turn these predictions into action through Forrester’s global B2B events and research programs.

About Forrester
Forrester (Nasdaq: FORR) is one of the most influential research and advisory firms in the world. We empower leaders in technology, customer experience, digital, marketing, revenue, and product functions to make confident decisions in an AI-driven world and accelerate growth through customer obsession. Our unique research and continuous guidance model helps executives and their teams achieve their initiatives and outcomes faster and with confidence. To learn more, visit Forrester.com.

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SOURCE Forrester

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