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Algorithmic Trading Market to Reach $65.2 Billion, Globally, by 2032 at 15.9% CAGR: Allied Market Research

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The growth of the global algorithmic trading industry is mainly driven by factors such as rise in demand for reliable, fast, and effective order execution; emergence of favorable government regulations; and the need for market surveillance primarily. 

PORTLAND, Ore., Sept. 23, 2024 /PRNewswire/ — Allied Market Research published a report, titled, “Algorithmic Trading Market by Component (Solution and Services), Deployment Mode (On-premises and Cloud), Type (Stock Markets, FOREX, ETF, Bonds, Cryptocurrencies and Others), Type of Trader (Institutional Investors, Long-term Traders, Short-term Traders and Retail Investors): Global Opportunity Analysis and Industry Forecast, 2024-2032″. According to the report, the algorithmic trading market was valued at $17.0 billion in 2023, and is estimated to reach $65.2 billion by 2032, growing at a CAGR of 15.9% from 2024 to 2032.

Prime determinants of growth 

The growth of the global algorithmic trading industry is mainly driven by factors such as rise in demand for reliable, fast, and effective order execution; emergence of favorable government regulations; and the need for market surveillance primarily. In addition, rise in demand for reducing the transaction costs fuels the demand for algorithmic trading. However, insufficient risk valuation capabilities may hamper market growth to some extent. On the other hand, the emergence of AI and algorithms in the financial services is expected to provide lucrative opportunities for market growth during the forecast period. In addition, rise in demand for cloud-based solutions is anticipated to be opportunistic for algorithmic trading market growth during the forecast period. 

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Report coverage & details: 

Report Coverage 

Details 

Forecast Period 

2023–2032 

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Base Year 

2022

Market Size in 2023 

$17.0 billion 

Market Size in 2032 

$65.2 billion 

CAGR 

15.9 %

No. of Pages in Report 

200

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Segments Covered 

Component, Deployment Mode, Type, Type of Trader, and Region. 

Drivers 

Rise in demand for reliable, fast, and effective order execution 

Emergence of favorable government regulations 

The need for market surveillance primarily 

Opportunities 

The emergence of AI and algorithms in the financial services 

Rise in demand for cloud-based solutions 

Restraint 

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Insufficient risk valuation capabilities 

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Market Segment and Scope: 

The solution segment is expected to grow faster throughout the forecast period.

By component, the solution segment held the highest market share in 2023 and is expected to retain its dominance throughout the forecast period. The demand for algorithmic trading solutions is mainly driven by its benefits such as reduced transaction costs due to lack of human intervention and instant and accurate trade order placement. However, the service segment is projected to manifest the highest growth from 2024 to 2032, due to an extensive adoption of professional services among end users, as it ensures effective functioning of algorithmic trading solution throughout the process. 

The on-premises segment is expected to grow faster throughout the forecast period.

By deployment mode, the on-premises segment held the highest market share in 2023 and is expected to retain its dominance throughout the forecast period, due to increase in adoption of cloud-based applications by financial institutions to enhance their productivity and efficiency. However, the cloud segment is expected to witness the highest growth during the forecast period. Cloud-based algorithmic trading solutions are gaining popularity among the traders as they ensure the effective automation of processes and data maintenance along with cost-friendly management. 

The stocks market segment is expected to lead throughout the forecast period.

By type, the stocks market segment held the highest market share in 2023 and is expected to retain its dominance throughout the forecast period. Algorithmic trading has revolutionized the financial markets by increasing liquidity, reducing trading costs, and enabling sophisticated trading strategies to be executed automatically. However, the crypto currency segment is projected to manifest the highest CAGR from 2024 to 2032. Crypto algorithmic trading can encompass various strategies, including trend following, arbitrage, and market making. It offers advantages such as high-speed execution, the ability to capitalize on market inefficiencies, and the elimination of emotional bias from trading decisions. 

The Institutional Investors segment is expected to grow faster throughout the forecast period.

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By type of trader, the institutional investors segment held the highest market share in 2023, accounting for two-fifths of the global algorithmic trading market revenue and is expected to retain its dominance throughout the forecast period. Algorithmic trading has become a basis for institutional investors, offering efficiency, speed, and precision in executing trades across diverse markets. However, the retail investors segment is projected to manifest the highest CAGR from 2024 to 2032. Retail investors can benefit from algorithmic trading by leveraging the speed and efficiency of automated systems to execute trades more quickly and accurately than manual trading. 

Asia-Pacific to maintain its dominance by 2032

By region, North America held the highest market share in terms of revenue in 2023 and is expected to dominate in terms of revenue throughout the forecast timeframe, owing to a number of factors including huge investments in trading technologies and increase in government support for global trading. In addition, the extensive presence of algorithmic trading vendors in the region propels the growth of the market. However, Asia-Pacific is expected to exhibit the highest growth during the forecast period, due to heavy investments by public and private sectors to enhance their trading technologies, thus driving the demand for algorithmic trading solutions to automate trading processes. 

Buy this Complete Report (200 Pages PDF with Insights, Charts, Tables, and Figures) at: https://www.alliedmarketresearch.com/algorithmic-trading-market/purchase-options

Major Industry Players: – 

  • Software AG 
  • Metaquotes Software Corp
  • Argo SE 
  • Tata Consultancy Services 
  • Symphony Fintech Solutions Pvt Ltd. 
  • 63moons 
  • Algo Trader AG 
  • Virtu Financial 
  • Tethys 

The report provides a detailed analysis of these key players in the global algorithmic trading market. These players have adopted different strategies such as new product launches, collaborations, expansion, joint ventures, agreements, and others to increase their market share and maintain dominant shares in different regions. The report is valuable in highlighting business performance, operating segments, product portfolio, and strategic moves of market players to showcase the competitive scenario. 

Recent Industry Developments 

  • In March 2021, Cowen, an American multinational independent investment bank and financial services company launched an algorithmic trading solution to help institutional clients navigate market dynamics caused by increased volumes of retail trading. 
  • In September 2022, CoinShares, Europe’s largest and longest standing full-service digital asset investment and trading group, launched HAL, a leading crypto-assets trading strategies platform. HAL aims to simplify and democratize crypto trading, which many investors consider complex. It is designed to enable more users to boost their trading with professional algorithms, a simple user experience, fair and transparent pricing, and educational content. 

AVENUE- A Subscription-Based Library (Premium on-demand, subscription-based pricing model):

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Get an access to the library of reports at any time from any device and anywhere. For more details, follow the link: https://www.alliedmarketresearch.com/library-access

About Us:

Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based in Wilmington, Delaware. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of “Market Research Reports Insights” and “Business Intelligence Solutions.” AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domain.

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We are in professional corporate relations with various companies, and this helps us in digging out market data that helps us generate accurate research data tables and confirms utmost accuracy in our market forecasting. Allied Market Research CEO Pawan Kumar is instrumental in inspiring and encouraging everyone associated with the company to maintain high quality of data and help clients in every way possible to achieve success. Each and every data presented in the reports published by us is extracted through primary interviews with top officials from leading companies of domain concerned. Our secondary data procurement methodology includes deep online and offline research and discussion with knowledgeable professionals and analysts in the industry.

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Rule 10b-5 Private Securities-Fraud Litigation Peaked in 4Q’24

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BETHESDA, Md., Jan. 10, 2025 /PRNewswire/ — SAR, a data analytics company specialized in the securities litigation risk of U.S. public companies, today published the Securities Class Action Rule 10b-5 Exposure Report for 4Q 2024. According to the report, securities litigation exposure of public company defendants that trade in the NYSE and NASDAQ peaked during the fourth quarter of 2024, when records were set across the buoyant U.S. equity markets. During the bullish market conditions of 2024, shareholders claimed approx. $665.2 billion in market capitalization losses due to alleged violations of Rule 10b-5 – the most in the last five years.

According to the report, global quarterly Rule 10b-5 securities litigation exposure in 2024 was 17% greater than the average of 2023. Actual monetary settlements with investor plaintiffs last year were, on average, 23% greater than during the last six years.

SAR data and analysis indicate that the litigation exposure of U.S. public company defendants amounts to approximately $380.3 billion in 2H 2024. Shareholders claimed approximately $4.0 billion in market capitalization losses per securities class action filing, and approximately $2.0 billion per allegedly fraud-related stock drop in 2H 2024. The former metric increased by 32.1%, and the latter by 15.4% during the second half of 2024.

“Our data and analyses indicate that securities litigation exposure against U.S. public companies peaked in the fourth quarter of last year. This peak may be short-lived with an expected increase in volatility and new headwinds for U.S. equities given greater shareholder scrutiny of corporate disclosures. With average Rule 10b-5 settlements over 20% greater in 2024 than during the last six years, litigation activity is expected to increase in 2025,” said Anthony Kabanek, EVP of SAR.

According to the report, in 2023 and 2024 investor plaintiffs claimed $13.6 billion and $20.5 billion, respectively, in private Rule 10b-5 securities-fraud class actions that relied on short-seller research.

Key takeaways:

  • 86 U.S. issuers were sued for alleged violations of Rule 10b-5 during 2H 2024. Based on allegations presented in the first-filed class action complaint against each defendant issuer, U.S. SCA Rule 10b-5 Exposure amounts to $259.4 billion. U.S. SCA Rule 10b-5 Exposure decreased -5.4% relative to 1H 2024.
  • U.S. SCA Rule 10b-5 Exposure peaked in the 2nd and 3rd quarters, followed by a decline to trend in the 4th quarter of 2024.
  • 9 Non-U.S. issuers were sued for alleged violations of Rule 10b-5 during 2H 2024. Based on allegations presented in the first-filed class action complaint against each defendant issuer, ADR SCA Rule 10b-5 Exposure amounts to $120.9 billion. ADR SCA Rule 10b-5 Exposure increased by 11.3x relative to 1H 2024.
  • An anomalously high 4th quarter exposure among Non-U.S. issuers contributed to a remarkably volatile year for ADR SCA Rule 10b-5 Exposure.

  • Rule 10b-5 private securities-fraud filing frequency and potential loss severity need not move in tandem. Global exposure increased by approximately 34% in the 2H 2024 relative to 1H 2024, while filing frequency remained relatively stable.
  • 38 U.S. Large Caps were sued for alleged violations of Rule 10b-5 in 2H 2024, the same observed frequency as 1H 2024. The U.S. Large Cap SCA Rule 10b-5 Exposure amounts to $233.7 billion, a decrease of 10.1% relative to 1H 2024.
  • 22 U.S. Mid Caps were sued for alleged violations of Rule 10b-5 In 2H 2024. The U.S. Mid Cap SCA Rule 10b-5 Exposure amounts to $19.8 billion, more than 3 times the amount in 1H 2024.
  • 26 U.S. Small Caps were sued for alleged violations of Rule 10b-5. The U.S. Small Cap SCA Rule 10b-5 Exposure amounts to $5.9 billion, a decrease of 33% relative to 1H 2024.
  • 9 Non-U.S. issuers that trade via ADRs in the U.S. public markets were sued for alleged violations of Rule 10b-5. The ADR SCA Rule 10b-5 Exposure increased by over 11.3x to ~$121 billion, relative to 1H 2024.

Media contact: [email protected]

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Sobi’s full year 2024 revenue higher than previous estimate

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STOCKHOLM, Jan. 10, 2025 /PRNewswire/ — Swedish Orphan Biovitrum AB (publ) (Sobi®) (STO:SOBI) announces today that revenue for the full year 2024 was higher than previous estimate. Full-year revenue was approximately SEK 26,000 M, representing approximately 19% growth at constant exchange rate (CER) (1). Adjusted EBITA margin (1,2) was in the mid-30s per cent of revenues.

The main reasons for the increased revenue are higher sales than expected in Q4 across the Haemophilia portfolio and for Kineret.

  • Altuvoct: Higher than expected rate of new patients switching to Altuvoct in markets where the product has been launched, mainly Germany and Switzerland.
  • Elocta: Benefited from higher patient numbers across markets and in markets where Altuvoct is launched there were less switches than expected from Elocta. Favorable gross-to-net effects were also observed.
  • Alprolix: Higher than expected number of new patients as well as increase in on-demand treatments across Europe.
  • Kineret: Higher than expected sales driven mainly by positive gross-to-net adjustments and favorable order phasing but also supported by increased demand.
  • The adjusted EBITA margin remained in the expected range as the stronger revenue performance was offset by negative mix effects on the gross margin as well as investments into our launch and pipeline products in the fourth quarter.

At the publication of the Q3 2024 report on 24 October 2024 Sobi stated the outlook for the full year 2024 to be: Revenue was anticipated to grow by a mid-teens percentage at CER and adjusted EBITA margin was anticipated to be in the mid-30s per cent of revenue.

Sobi will announce its fourth quarter and full year 2024 report on Wednesday 5 February 2025 at 8:00 am CET.

About Sobi
Sobi® is a specialised international biopharmaceutical company transforming the lives of people with rare and debilitating diseases. Providing reliable access to innovative medicines in the areas of haematology, immunology, and specialty care, Sobi has approximately 1,800 employees across Europe, North America, the Middle East, Asia, and Australia. In 2023, revenue amounted to SEK 22.1 billion. Sobi’s share (STO:SOBI) is listed on Nasdaq Stockholm. More about Sobi at sobi.com and LinkedIn.

Contacts
For details on how to contact the Sobi Investor Relations Team, please click here. For Sobi Media contacts, click here.

This information is information that Sobi is obliged to make public pursuant to the EU Market Abuse Regulation. The information was submitted for publication, through the agency of the contact person set out below, at 18:00 CET on 10 January 2025.

Gerard Tobin
Head of Investor Relations

[1] Alternative Performance Measures (APMs).
[2] Excluding items affecting comparability (IAC).

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Knowledge Graph Market worth $6,938.4 million by 2030 – Exclusive Report by MarketsandMarkets™

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DELRAY BEACH, Fla., Jan. 10, 2025 /PRNewswire/ — The Knowledge Graph Market is expected to reach USD 6,938.4 million by 2030 from USD 1,068.4 million in 2024, at a Compound Annual Growth Rate (CAGR) of 36.6% from 2024–2030, according to new research report by MarketsandMarkets™.

The knowledge graphs ensure enterprise knowledge management through the rebuilding of complex data with interconnected nodes and relationships by providing a simpler way to navigate and retrieve information. It helps businesses build a fully comprehensive knowledge graph uniting disparate data sources, enables complex semantic search, context-aware recommendations, and data discovery. Knowledge graphs support better decision-making, foster innovation, and improve cooperation across teams by mapping relationships between organizational knowledge. They are particularly useful for large organizations, which depend on accessing and utilizing vast amounts of structured and unstructured data to be productive and competitive.

Browse in-depth TOC on “Knowledge Graph Market 

344 – Tables
51 – Figures
359 – Pages

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Scope of the Report

Report Metrics

Details

Market size available for years

2019–2030

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Base year considered

2024

Forecast period

2024–2030

Forecast units

Value (USD Million)

Segments Covered

(solutions (enterprise knowledge graph platform, graph database engine, knowledge management toolset) services ( professional services, managed services) by model type (Resource Description Framework (RDF) Triple Stores, Labeled Property Graph (LPG)) by applications (data governance and master data management, data analytics and business intelligence, knowledge and content management , virtual assistants, self-service data and digital asset discovery, product and configuration management, infrastructure and asset management,  process optimization and resource management, risk management, compliance, regulatory reporting, market and customer intelligence, sales optimization, other applications) by vertical (Banking, Financial Services, and Insurance (BFSI), retail and eCommerce, healthcare, life sciences, and pharmaceuticals telecom and technology, government, manufacturing and automotive, media & entertainment, energy, utilities and infrastructure, travel and hospitality, transportation and logistics, other vertical)

Region covered

North America, Europe, Asia Pacific, Middle East & Africa, and Latin America

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Companies covered

IBM Corporation (US), Oracle (US), Microsoft Corporation (US), AWS (US), Neo4j (US), Progress Software (US), TigerGraph (US), Stardog (US), Franz Inc (US), Ontotext (Bulgaria), Openlink Software (US), Graphwise (US), Altair (US), Bitnine ( South Korea) ArangoDB (US),  Fluree (US), Memgraph (UK), GraphBase (Australia), Metaphacts (Germany), Relational AI (US), Wisecube (US), Smabbler (Poland), Onlim (Austria), Graphaware (UK), Diffbot (US), Eccenca (Germany), Conversight (US), , Semantic Web Company (Austria), ESRI (US)

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By vertical, the BFSI segment to hold the largest market size during the forecast period.

The knowledge graphs serve as a strong foundation for relating customer data, transactions history, credit scores, and risk profiles within the BFSI (Banking, Financial Services, and Insurance) sector, allowing the exact relationship mapping and insights. These are also employed in fraud detection through real-time identification of hidden patterns and for regulatory compliance with standards such as AML (Anti Money Laundering) and KYC (know Your Customer), where data can be traced and is transparent. In banking, knowledge graphs facilitate credit risk analysis which makes the process of loan approval more efficient, in insurance by linking policies, claims data, and fraud indicators thus optimizing claims processing. All these will, when combined with other data points, produce AI-powered applications: personalized advice-based solutions on finances and intelligent virtual assistants, which will create operational efficiency and improved customer experience in BFSI.

Virtual assistants, self-service data, and digital asset discovery segment to have the highest growth during the forecast period.

Knowledge graphs are essential for building virtual assistants, self-service data platforms, and even digital asset discovery, for they build interconnected data networks that help in enhancing the searchability and insights. Virtual assistants use knowledge graphs to provide context-sensitive responses that improve user interactions and provide tailored recommendations. Self-service data platforms use knowledge graphs to allow business users to access and analyze complex datasets without technical help, which helps them to make better decisions. They make the identification and classification of digital resources, such as documents or media, easier through linking metadata and content relationships for the discovery of digital assets. This capability enables effective resource management, innovation, and improvement in user experience in areas such as content creation, research, and enterprise workflows.

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Asia Pacific is expected to witness the highest market growth rate during the forecast period.

The knowledge graph landscape is rapidly evolving in Asia Pacific, with initiatives across various domains. In December 2022, the National Library Board (NLB), Singapore, launched a Linked Data-based Semantic Knowledge Graph to merge resources from libraries and archives using BIBFRAME and Schema.org vocabularies for seamless updating and improved data quality. HydroKG in Australia merges hydrologic data from resources such as GeoFabric and HydroATLAS that allow for pinpoint queries on water bodies and river networks, enabling better environmental management. Japan uses knowledge graphs in manufacturing for supply chain optimization and South Korea uses it in telecommunications to enhance the customer experience through personalized AI.

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Top Key Companies in Knowledge Graph Market

The major vendors covered in the Knowledge graph market are IBM Corporation (US), Oracle (US), Microsoft Corporation (US), AWS (US), Neo4j (US), Progress Software (US), TigerGraph (US), Stardog (US), Franz Inc (US), Ontotext (Bulgaria), Openlink Software (US), Graphwise (US), Altair (US), Bitnine ( South Korea) ArangoDB (US), Fluree (US), Memgraph UK), GraphBase (Australia), Metaphacts (Germany), Relational AI (US), Wisecube (US), Smabbler (Poland), Onlim (Austria), Graphaware (UK), Diffbot (US), Eccenca (Germany), Conversight (US), Semantic Web Company (Austria), ESRI (US), Datavid (UK), and SAP (Germany). These players have adopted various growth strategies, such as partnerships, agreements and collaborations, new product launches, enhancements, and acquisitions to expand their footprint in the Knowledge graph market.

Browse Adjacent Markets: Information and Communications Technology Market Research Reports & Consulting

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Geospatial Analytics Market – Global Forecast to 2029

Property Management Market – Global Forecast to 2030

Get access to the latest updates on Knowledge Graph Companies and Knowledge Graph Industry

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About MarketsandMarkets™

MarketsandMarkets™ has been recognized as one of America’s best management consulting firms by Forbes, as per their recent report.

MarketsandMarkets™ is a blue ocean alternative in growth consulting and program management, leveraging a man-machine offering to drive supernormal growth for progressive organizations in the B2B space. We have the widest lens on emerging technologies, making us proficient in co-creating supernormal growth for clients.

Earlier this year, we made a formal transformation into one of America’s best management consulting firms as per a survey conducted by Forbes.

The B2B economy is witnessing the emergence of $25 trillion of new revenue streams that are substituting existing revenue streams in this decade alone. We work with clients on growth programs, helping them monetize this $25 trillion opportunity through our service lines – TAM Expansion, Go-to-Market (GTM) Strategy to Execution, Market Share Gain, Account Enablement, and Thought Leadership Marketing.

Built on the ‘GIVE Growth’ principle, we work with several Forbes Global 2000 B2B companies – helping them stay relevant in a disruptive ecosystem. Our insights and strategies are molded by our industry experts, cutting-edge AI-powered Market Intelligence Cloud, and years of research. The KnowledgeStore™ (our Market Intelligence Cloud) integrates our research, facilitates an analysis of interconnections through a set of applications, helping clients look at the entire ecosystem and understand the revenue shifts happening in their industry.

To find out more, visit www.MarketsandMarkets™.com or follow us on Twitter, LinkedIn and Facebook.

Contact:
Mr. Rohan Salgarkar
MarketsandMarkets™ INC.
1615 South Congress Ave.
Suite 103, Delray Beach, FL 33445
USA: +1-888-600-6441
Email: [email protected]
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