Technology
Artificial Intelligence (AI) in Trading Market to Reach USD 35 Billion by 2030, Growing at a 10% CAGR | Valuates Reports
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4 days agoon
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BANGALORE, India, Jan. 3, 2025 /PRNewswire/ — AI in Trading Market is Segmented by Type (Software, Services), by Application (Automotive, IT & Telecommunication, Transportation & Logistics, Energy & Utilities, Healthcare, Retail, Manufacturing).
The Global Artificial Intelligence in Trading Market was valued at USD 18 Billion in 2023 and is anticipated to reach USD 35 Billion by 2030, witnessing a CAGR of 10% during the forecast period 2024-2030.
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Major Factors Driving the Growth of Artificial Intelligence (AI) in Trading Market:
The Artificial Intelligence in Trading market is on a robust growth trajectory, driven by the increasing adoption of AI technologies to enhance trading performance and operational efficiency. The integration of machine learning algorithms, predictive analytics, and automated trading systems is transforming the landscape of financial trading, enabling more informed and strategic decision-making. The rising complexity and volatility of financial markets necessitate advanced AI-driven solutions that can analyze vast amounts of data, identify market trends, and execute trades with precision and speed. Additionally, the continuous advancements in AI and machine learning technologies are expanding the capabilities and applications of AI in trading, making these solutions more accessible and effective for a broader range of traders and financial institutions. The growing emphasis on data-driven trading strategies, coupled with the need for competitive advantage and risk management, propels the demand for AI-driven trading technologies. As financial markets continue to evolve and embrace digital transformation, the Artificial Intelligence in Trading market is poised to achieve significant growth, driven by innovation, investment, and the increasing reliance on technology-driven trading solutions.
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TRENDS INFLUENCING THE GROWTH OF THE GLOBAL AI IN TRADING MARKET:
Software solutions are instrumental in driving the growth of the Artificial Intelligence in Trading market by enhancing the efficiency, accuracy, and speed of trading operations. Advanced trading software incorporates machine learning algorithms, predictive analytics, and real-time data processing capabilities, enabling traders to make informed decisions based on comprehensive market insights. These software platforms facilitate automated trading strategies, allowing for the execution of trades at optimal times without human intervention, thereby reducing latency and increasing profitability. Additionally, sophisticated risk management tools integrated into trading software help in identifying and mitigating potential risks, ensuring more stable and secure trading environments. The continuous evolution of trading software, with the integration of AI-driven features such as sentiment analysis and anomaly detection, further propels market growth by offering traders innovative tools to navigate complex financial markets. The increasing reliance on technology-driven trading solutions underscores the critical role of software in expanding the Artificial Intelligence in Trading market.
Services play a pivotal role in driving the growth of the Artificial Intelligence in Trading market by providing essential support and expertise required to implement and optimize AI-driven trading strategies. These services include consulting, system integration, data management, and ongoing technical support, which are crucial for financial institutions and traders looking to leverage AI technologies effectively. Professional services help organizations navigate the complexities of AI adoption, ensuring that AI models are accurately tailored to specific trading needs and market conditions. Additionally, managed services offer continuous monitoring and maintenance of AI systems, ensuring their optimal performance and adaptability to evolving market dynamics. Training and education services further enhance the capabilities of trading teams, equipping them with the necessary skills to utilize AI tools effectively. The comprehensive range of services provided by specialized firms enables seamless integration of AI technologies into trading operations, thereby accelerating the adoption and expansion of the Artificial Intelligence in Trading market.
Financial services are a major catalyst in the growth of the Artificial Intelligence in Trading market, as they are at the forefront of adopting AI technologies to gain a competitive edge in the financial markets. Investment banks, hedge funds, asset management firms, and proprietary trading firms increasingly utilize AI-driven trading systems to enhance their trading strategies, improve decision-making processes, and optimize portfolio management. The ability of AI to analyze vast amounts of financial data, identify market trends, and execute trades at high speeds enables financial services firms to achieve higher returns and manage risks more effectively. Additionally, the integration of AI in areas such as algorithmic trading, fraud detection, and customer service enhances operational efficiency and service quality within financial institutions. The growing recognition of AI’s potential to transform trading practices and deliver superior financial performance drives the continuous investment and expansion of AI technologies in the financial services sector, thereby propelling the growth of the Artificial Intelligence in Trading market.
The increasing demand for high-speed trading is a significant factor driving the Artificial Intelligence in Trading market. In today’s fast-paced financial markets, the ability to execute trades within milliseconds can provide a substantial competitive advantage. AI-driven trading systems are designed to process large volumes of data and execute trades at speeds that far surpass human capabilities, enabling traders to capitalize on fleeting market opportunities. The rise of high-frequency trading (HFT) strategies, which rely on rapid data analysis and automated execution, underscores the need for advanced AI technologies that can deliver the required speed and precision. The growing complexity and volatility of financial markets further amplify the demand for high-speed trading solutions, as traders seek to navigate rapid price fluctuations and capitalize on minute market movements. The continuous advancement of AI technologies to enhance trading speed and efficiency drives the expansion of the Artificial Intelligence in Trading market.
The availability and integration of vast amounts of financial data are crucial drivers of the Artificial Intelligence in Trading market. The proliferation of data sources, including market feeds, news articles, social media, and economic indicators, provides a rich foundation for AI algorithms to analyze and derive actionable insights. Effective integration of diverse data sets allows AI systems to develop more accurate predictive models and trading strategies, enhancing their ability to anticipate market movements and make informed trading decisions. Additionally, the advancement of big data technologies and data processing frameworks facilitates the seamless ingestion, storage, and analysis of large-scale financial data, enabling AI-driven trading systems to operate more efficiently and effectively. The increasing emphasis on data-driven decision-making in trading practices underscores the importance of robust data integration capabilities, thereby fueling the growth of the Artificial Intelligence in Trading market.
Effective risk management and mitigation are critical factors driving the Artificial Intelligence in Trading market. AI-driven trading systems offer advanced risk assessment and management capabilities that help traders and financial institutions identify, evaluate, and mitigate potential risks in real-time. Machine learning algorithms can analyze historical and real-time data to detect abnormal trading patterns, predict market downturns, and optimize portfolio allocations to minimize exposure to adverse market conditions. Additionally, AI technologies enable the development of sophisticated hedging strategies and automated stop-loss mechanisms, enhancing the ability to manage financial risks proactively. The ability to quickly adapt to changing market dynamics and implement risk mitigation measures is essential for maintaining financial stability and achieving sustainable trading performance. As the complexity and interconnectedness of financial markets increase, the demand for robust AI-driven risk management solutions intensifies, thereby fueling the growth of the Artificial Intelligence in Trading market.
Achieving a competitive advantage is a significant driver in the growth of the Artificial Intelligence in Trading market. Financial institutions and traders seek to leverage AI technologies to gain an edge over competitors by enhancing the speed, accuracy, and efficiency of their trading operations. AI-driven trading systems enable the development of proprietary trading strategies, optimize trade execution, and improve the ability to anticipate market movements, thereby increasing profitability and market share. The ability to process and analyze vast amounts of data in real-time allows traders to make informed decisions faster than competitors relying on traditional trading methods. Additionally, AI technologies facilitate the customization of trading strategies to align with specific investment goals and risk profiles, further differentiating traders in the competitive financial landscape. The pursuit of superior performance and the need to stay ahead in the highly competitive trading environment drive the adoption and investment in AI-driven trading solutions, thereby propelling the growth of the Artificial Intelligence in Trading market.
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AI IN TRADING MARKET SHARE
China and the United States are two leaders in the AI industry. On the AI 100 list (2022) released by CB Insights, the number of companies in the United States ranks first, with more than 70 companies, followed by the United Kingdom, with 8 companies on the list. China and Canada both hold 5 companies on the list. According to data from the China Academy of Information and Communications Technology, the scale of China’s core artificial intelligence industry reached ¥508 Billion in 2022, a year-on-year increase of 18%.
The Artificial Intelligence in Trading market exhibits significant regional variations, influenced by factors such as financial market maturity, technological infrastructure, and regulatory environments. North America leads the market, driven by the presence of major financial hubs like New York and Silicon Valley, advanced technological infrastructure, and a high concentration of fintech startups specializing in AI-driven trading solutions.
Key Companies:
IBM CorporationTrading Technologies International, IncGreenKey Technologies, LLCTrade Ideas, LLCImperative Execution IncLooking Glass Investments LLCAitradesKavoutAuquanWOATechtrader
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Technology
Netskope Threat Labs: Phishing Clicks Nearly Tripled in 2024, Ubiquitous Use of Personal Cloud Apps and GenAI Tools Require Modern Workplace Security to Mitigate Risk
Published
5 minutes agoon
January 7, 2025By
New research details rising enterprise cloud security risks, successful strategies adopted to manage genAI risks in 2024
SANTA CLARA, Calif., Jan. 7, 2025 /PRNewswire/ — Netskope, a global leader in Secure Access Service Edge (SASE), today shared new research showing that, as a result of the growing prevalence and sophistication of phishing attacks, enterprise employees click on phishing lures nearly three times more in 2024 compared to the prior year. The findings, based on data gathered by Netskope from enterprises worldwide, and published as part of Netskope’s annual Cloud & Threat Report, reveal growing security risks related to the persistent use of personal cloud apps and continued adoption of genAI tools in the workplace, underscoring the need to adopt modern data security to proactively manage that risk.
Phishing lures triple in success rate
Despite organizations’ repeated attempts at security awareness training, with a particular emphasis on how employees can avoid being phished, in 2024 enterprise users clicked on phishing lures at a rate nearly three times higher than in 2023. More than eight out of every 1,000 users clicked on a phishing link each month – up 190% from last year when fewer than three per thousand enterprise users fell prey to phishing attempts.
Where attackers host their malicious payloads is also an element of social engineering. Attackers want to host malicious content on platforms where victims place some implicit trust, including popular cloud apps such as GitHub, Microsoft OneDrive, and Google Drive. In 2024, downloads of malicious content from popular cloud apps occurred in 88% of organizations at least once per month.
The top target for phishing campaigns that users clicked on in 2024 were cloud applications, representing more than a quarter of all phishing clicks at 27%. Among the cloud apps, Microsoft was by far the most targeted brand at a rate of 42% where attackers targeted Microsoft Live and Microsoft 365 credentials.
Personal apps blurring the lines
The ubiquity of personal cloud apps in the enterprise has created an environment where employees are knowingly or unknowingly using these apps to process or store sensitive information, leading to loss of organizational control over data and potential data breaches. Among the top personal apps that users send data to are cloud storage, webmail, genAI, social media, and personal calendar apps.
In 2024, 88% of all employees used personal cloud apps each month, with more than one out of every four users (26%) uploading, posting, or otherwise sending data to personal apps. Sensitive data being leaked through personal apps is top of mind for most organizations, with the most common type of data policy violation being for regulated data (60%), which included personal, financial, or healthcare data being uploaded to personal apps. The other types of data involved in policy violations include intellectual property (16%), source code (13%), passwords and keys (11%), and encrypted data (1%).
GenAI growth trends continue
In 2023, genAI came roaring into the workplace, and growing adoption of genAI apps by both organizations and users—as well as the overall volume of genAI apps in use— continued through 2024. Specifically:
Organizational use grew from 81% of companies using genAI apps in 2023 to 94% in 2024. ChatGPT continues to be the most popular genAI app, being used in 84% of organizations.Employee use rate of genAI apps tripled from 2.6% of all people in organizations to 7.8%. Retail and technology organizations lead all industries with an average of more than 13% of all employees using genAI apps monthly.Organizations now use an average of 9.6 genAI apps, up from 7.6 a year ago. The top 25% of organizations now use at least 24 genAI apps, whereas the bottom 25% are using 4 genAI apps at most.
Managing the genAI data risk
As genAI apps continued to solidify their standing as an enterprise mainstay (94% of organizations now use them) in 2024, organizations have shown they are still in the early stages of putting controls in place for the safe enablement of genAI and to help mitigate the data risks posed by genAI apps:
45% of organizations use DLP to control the flow of data into genAI apps. Industry adoption of DLP for genAI varies widely with telecommunications the highest at 64%.34% of organizations use real-time interactive user coaching to empower individuals to make appropriate and informed decisions.73% of the time, when prompted with warnings of a potential company violation, users opt to not proceed based on coaching information provided.73% of organizations block at least one genAI app, with a steady rate of 2.4 genAI apps blocked on average year over year.The number of apps blocked by the top 25% of all organizations blocking genAI apps has more than doubled from 6.3 apps to 14.6 over the past year.
Key takeaways for organizations
Netskope recommends organizations take the following steps to protect their environments:
Users are being bombarded with phishing links from all directions: email, social media, ads in search engine results, and all over the web. Furthermore, genAI is making it easier for attackers to craft convincing phishes. All of this underscores that relying on education alone to help users detect a phishing attempt is insufficient and must be coupled with investments in modern data protection.
Employees will continue to accidentally (or intentionally) share files via their personal accounts, include proprietary information in their personal backups, and use personal app instances to take data when leaving the organization. Regardless of intent, organizations must limit access to only those apps that serve a legitimate business purpose, create a review and approval process for new apps and implement a continuous monitoring process that will alert security operators when apps are being misused or have been compromised.
The trajectory of more organizations and more employees using genAI will continue into 2025 as genAI becomes more entrenched in the workplace. At the same time, the number of genAI apps will continue to grow, necessitating controls to ensure that only approved apps are used, and only for approved use cases. Organizations should use modern data security to control data movement into approved apps, leverage real-time user coaching to empower people to make informed decisions when using genAI apps, and implement controls that block unapproved apps.
“The common thread for organizations working to safely enable the use of apps in the enterprise, and mitigate the challenges across the threat landscape, is the need for modern data security,” said Ray Canzanese, Director of Netskope Threat Labs. “Gone are the days when data security was an afterthought. It must be seamlessly integrated into every aspect of an organization’s operations. From defending against phishing to safeguarding personal apps and managing genAI, data security is no longer just a perimeter defense. It is a dynamic, proactive framework with real-time user coaching, DLP, and app-specific controls to stay ahead of an ever-changing threat landscape.”
Read the full Cloud and Threat Report: 2025 here. For more information on cloud-enabled threats and the latest findings from Netskope Threat Labs, visit Netskope’s Threat Research Hub.
About Netskope
Netskope, a global SASE leader, helps organizations apply zero trust principles and AI/ML innovations to protect data and defend against cyber threats. Fast and easy to use, the Netskope One platform and its patented Zero Trust Engine provide optimized access and real-time security for people, devices, and data anywhere they go. Thousands of customers trust Netskope and its powerful NewEdge network to reduce risk and gain unrivaled visibility into any cloud, SaaS, web, and private application activity—providing security and accelerating performance without compromise.
Learn more at netskope.com, on the Netskope blog, on LinkedIn, and Instagram.
Media Contacts:
press@netskope.com
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SOURCE Netskope
Technology
Ground-breaking initiatives to empower private sector, supercharge Abu Dhabi’s ‘Falcon Economy’
Published
5 minutes agoon
January 7, 2025By
ABU DHABI, UAE, Jan. 7, 2025 /PRNewswire/ — Abu Dhabi has announced ground-breaking initiatives to supercharge the Emirate’s soaring ‘Falcon Economy’ by providing a supportive business environment that empowers the private sector to seize opportunities and reach their full potential.
Ranked as the World’s Richest City, Abu Dhabi is home to US$1.7 trillion in sovereign wealth fund assets and enjoys the strongest sovereign credit rating in the GCC, providing investors with unparalleled access to finance and growth opportunities. The Emirate has also been ranked 1st in ease of doing business in the Middle East and North Africa (MENA) region.
His Excellency Ahmed Jasim Al Zaabi, Chairman of the Abu Dhabi Department of Economic Development, said: “Our remarkable economic journey is driven by a determination to build a strong, resilient, sustainable, and diversified economy. We remain committed to proactively develop frameworks and plans to find innovative solutions to current and future challenges and build a better tomorrow for generations to come”.
H.E. Al Zaabi added: “Our Initiatives bolster ease of doing business and empower tomorrow’s business leaders; and we are doubling down our efforts to equip young generations to explore opportunities, innovate, start, and grow businesses.”
The Abu Dhabi Registration and Licensing Authority (ADRA):
The Abu Dhabi Registration and Licensing Authority (ADRA), an arm of the Abu Dhabi Department of Economic Development (ADDED) to develop and regulate the business sector, was launched to provide a centralised registry of all businesses across Abu Dhabi’s mainland and its non-financial economic free zones. It provides a single point for regulatory reporting, ensuring compliance of economic establishments with UAE and international regulations, and offers licensing, consumer, and commercial protection services across the mainland.
Abu Dhabi Chamber of Commerce New Roadmap:
The Abu Dhabi Chamber of Commerce and Industry’s (ADCCI), the voice of the private sector, has revealed a new roadmap for 2025–2028, to develop a prosperous, flexible, and diversified business ecosystem that fosters innovation and entrepreneurship in Abu Dhabi.
The roadmap focuses on fostering partnerships, linking companies to global markets, increasing business opportunities, advocating policies and empowering entrepreneurs and talents. ADCCI’s new roadmap for economic excellence is anchored by five core pillars- policy advocacy, market intelligence, ecosystem building, innovation, and market expansion- each playing a pivotal role in driving innovation, sustainability, and resilience.
ADCCI also launched the Abu Dhabi Family Business Council, to enhance its role in the socio-economic development by promoting sustainability, growth, and prosperity of family businesses, and ensuring their continuity across generations.
ADCCI unveiled its new brand identity, signalling a bold vision for the future and marking a strategic phase of progress.
New Entrepreneurship empowerment initiatives
The new strategy for the Khalifa Fund for Enterprise Development, dedicated to supporting small-to-medium enterprises (SMEs) ensures the Fund continues to provide the right support, business-boosting measures and friendly ecosystems to empower SMEs.
Central to this strategy is the launch of MZN (Arabic word for rainy clouds) Hub, an innovative concept, which utilises AI-driven solutions, to ensure an integrated, cutting-edge ecosystem that provides entrepreneurs with bespoke resources and programmes, empowering them to enhance their capabilities, ensure the success of their ventures, and sustain their growth.
Backed by government investments, MZN Hub offers access to finance, comprehensive training, and tailored mentorship, designed to enable startups to flourish. The platform has three components- Venture Studios, Light Manufacturing, and Venture Capital to ensure support in different stages of business, from ideation to growth.
About ADDED:
The Abu Dhabi Department of Economic Development (ADDED), the catalyst for economic growth and diversification, regulates the business sector in the Emirate and leads economic initiatives to achieve a knowledge-based, diversified, and sustainable economy. ADDED adopts best policies and practices based on the latest research and statistics, devotes its efforts to elevate the development and renaissance across various sectors, and prepares strategic programs and plans by adopting the best economic and administrative practices, applying the latest technology and drawing on global expertise.
ADDED strives to improve the investment climate in the Emirate by enhancing prospects for cooperation with strategic partners and ensure principles of innovation, transparency, and knowledge-sharing are followed to strengthening the business ecosystem to enhance Abu Dhabi as preferred destination for business and investments.
SOURCE Abu Dhabi Department of Economic Development
Technology
GIGABYTE Unveils a Series of Groundbreaking AI Innovations for All at CES 2025
Published
5 minutes agoon
January 7, 2025By
TAIPEI, Jan. 7, 2025 /PRNewswire/ — GIGABYTE, the world’s leading computer brand, unveils groundbreaking AI innovations at CES 2025 with new AI-powered products, AI PCs, NVIDIA® GeForce RTX™ 50 Series graphics cards, AMD B850 and Intel® B860 series motherboards, and OLED monitors. These products deliver high-performance, energy-efficient solutions for gaming, multitasking, and advancing accessible AI for all.
GIGABYTE’s new AI PCs, AORUS MASTER, GIGABYTE AERO, and GIGABYTE GAMING series are powered by NVIDIA® GeForce RTX™ 50 Series Laptop GPUs and NVIDIA® NIM microservices for advanced AI NIM and RTX™ AI, AMD Ryzen™ AI, Intel® NPU AI, and enhanced by Microsoft Copilot. These AI PCs feature GIGABYTE’s exclusive AI agent, GiMATE, built on advanced LLM technology. With its intuitive “Press and Speak” feature, GiMATE provides seamless hardware and software control, offering optimal settings for every scenario from battery life and gaming performance to acoustics, cooling, and even privacy protection.
Powered by NVIDIA® Blackwell, GeForce RTX™ 50 Series GPUs bring game-changing capabilities to gamers and creators. Equipped with a massive level of AI horsepower, the RTX™ 50 Series enables new experiences and next-level graphics fidelity. Multiply performance with NVIDIA® DLSS 4, generate images at unprecedented speed, and unleash creativity with NVIDIA® Studio. Plus, access NVIDIA® NIM microservices – state-of-the-art AI models that let enthusiasts and developers build AI assistants, agents, and workflows with peak performance on NIM-ready systems.
GIGABYTE’s GeForce RTX™ 50 Series graphics cards, powered by the NVIDIA® Blackwell architecture, have received upgraded cooling solutions to compliment the high performance of the GeForce RTX™ 50 series GPU. The iconic WINDFORCE implements Hawk Fan with 12.5% increased airflow and server-grade thermal conductive gel while AORUS XTREME WATERFORCE all-in-one water-cooling model adopts the liquid metal thermal grease, maintaining optimal temperature and silent operation during demanding workloads. Models across premium AORUS XTREME and MASTER, GIGABYTE AERO, GAMING, EAGLE, WINDFORCE, and AMD Radeon™ RX 9000 series graphics cards debut.
The newly launched AORUS B860 series motherboards with D5 Bionic Corsa for boosting memory performance up to 9466MT/s with AI-enhanced technology; AORUS B850 series motherboards are built for AMD Ryzen™ 9000 X3D processors, offering exclusive X3D Turbo Mode to top up gaming performance up to 18%, along with the 27-inch QHD QD-OLED monitor AORUS FO27Q5P with the industry-leading 500Hz refresh rate and the groundbreaking 27-inch 4K 240Hz QD-OLED monitor MO27U2 both adopt AI-based panel protection. Furthermore, the AI TOP solution implements the Multi-Node Optimizer, which doubles the user’s fine-tuning batch size and efficiency through Intel® Thunderbolt™ 5 clustering with up to 5.4 times faster for local AI training.
GIGABYTE’s AI technology breaks limits again, with more to come in 2025. For more details, please visit GIGABYTE EVENT | 2025 CES at: https://bit.ly/GIGABYTE_CES_2025_AI_Branding, or join us offline at Booth #8505, LVCC North Hall, and the GIGABYTE Ballroom at Venetian Ballrooms Level 3 for media and VIPs.
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