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Artificial Intelligence (AI) in Trading Market to Reach USD 35 Billion by 2030, Growing at a 10% CAGR | Valuates Reports

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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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DISCOVER MORE INSIGHTS: EXPLORE SIMILAR REPORTS!

–          AI Content Generation Market was estimated to be worth USD 1108 Million in 2023 and is forecast to a readjusted size of USD 5958 Million by 2030 with a CAGR of 27.3% during the forecast period 2024-2030.

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Retail’s New Revenue Frontier: SOLUM Showcases AI-Enhanced Display Solution for In-Store Advertising

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LAS VEGAS, Jan. 8, 2025 /PRNewswire/ — As retailers seek new revenue streams, in-store digital displays are emerging as powerful advertising platforms. According to Statista, the retail media network market is projected to reach $156 billion globally by 2026. Leading retailers are transforming their physical stores into advertising platforms – Insider Intelligence reports that Walmart Connect, Walmart’s retail media arm, has become the company’s fastest-growing revenue segment.

“The retail landscape is evolving beyond traditional product displays,” said Sungho Jeon, CEO at SOLUM. “Our integrated digital display solution helps retailers transform their physical spaces into dynamic advertising platforms while delivering personalized customer experiences.”

At CES 2025, SOLUM demonstrates how its Vision AI-enabled digital signage and Electronic Shelf Labels (ESL) can create new advertising opportunities within physical stores. The system analyzes customer behavior patterns in real-time to display targeted advertisements. When a customer shows interest, connected ESL tags illuminate to drive purchase conversion through synchronized product information and promotions.

Recent privacy regulations have made first-party data collected from physical stores increasingly valuable for retailers. SOLUM’s solution addresses this shift by enabling real-time measurement of advertising effectiveness and customer engagement in physical stores, providing metrics previously only available in digital commerce.

”Our solution turns retail spaces into dynamic advertising platforms, enhancing the customer experience with personalization,” said Jeon. “Connecting digital signage with ESL enables stores to create more engaging customer experiences while developing new revenue opportunities.” said Jeon. “Connecting digital signage with ESL enables stores to create more engaging customer experiences while developing new revenue opportunities.”

Early adopters of SOLUM’s retail solution have reported remarkable results. A major convenience store chain reported a 7% increase in purchase conversion rates after implementing the synchronized digital signage and ESL system. The solution not only improved operational efficiency by eliminating manual price updates but also created new revenue streams through targeted advertising capabilities.

Visit SOLUM at CES 2025

– Location: Las Vegas Convention Center, West Hall #9615

– Exhibition Highlights:

Recreated retail environment demonstrating advertising platform capabilitiesVision AI-powered digital signage with real-time customer behavior analyticsBar-type digital signage synchronized with ESL tagsInteractive Touch Finding solution that guides shoppers to their desired products instantly

About SOLUM

SOLUM, established in 2015 as a spin-off from Samsung Electro-Mechanics, operates three core business divisions: power solutions, display technologies, and Electronic Shelf Labels (ESL). Building on its technological foundation, the company continues to expand its portfolio into smart lighting, sensors, and healthcare sectors.

Since its inception, SOLUM has pursued excellence through continuous innovation and quality enhancement, establishing itself as a trusted global enterprise. The company maintains market leadership through advanced technologies aligned with sustainable energy and digital transformation initiatives. SOLUM’s commitment to customer success is reflected in its delivery of customized solutions and premium products that maximize value through innovative development.

Media Contact
SOLUM
Sophia Shim
sjh@solu-m.com (+82) 31-8006-7723

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Industry leaders define deliverable benefits and digital transformation best practices in latest season of video series

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Executive interviews feature innovators and visionaries explaining the critical role that digital technologies play in sustainability, growth, and employee empowerment

BRUSSELS, Jan. 8, 2025 /PRNewswire/ — Rockwell Automation, Inc. (NYSE: ROK), the world’s largest company dedicated to industrial automation and digital transformation, has extended its highly informative ROKStudios video series, looking at how digital technologies are proving essential to realizing business-critical outcomes across multiple applications.

From exciting sustainability start-ups, through established chocolate and steel production, and on to digitally transformed pharmaceutical operations, the new ROKStudios episodes are a compendium from the company’s Automation Fair 2024 event. The discussions include interviews with founders, managing directors, CEOs, business development managers and team leaders, all of whom face unique challenges, but still unite under a common drive towards more sustainable operations – not just for them, but for their customers, too.

“Digital technologies, by their very nature, are highly adaptable and create firm, yet scalable foundations from which all elements of a business can flourish and grow,” said Gustavo Zecharies, president, Europe, Middle East and Africa, Rockwell Automation. “The diverse range of attendees at Automation Fair highlighted how every facet of the global manufacturing universe sees digitalization as the future, and these ROKStudios interviews showcase how industry leaders and visionaries have achieved their outcomes.”

Eloisa de Castro and Dr. Samer Nameer explain how their company, Enerpoly, is set to have a huge impact in the renewable energy market thanks to innovative, more sustainable and easily accessible battery chemistry, in combination with highly scalable automation solutions that cater for rapid growth across a global footprint.

Also under the sustainability banner, Nicolas Heuzé, CEO of Sweetch Energy, talks about the huge potential of his company’s osmotic energy technology, which will revolutionize clean-energy production. Heuzé goes on to explain how scalable automation and control is critical for start-ups as they leave the lab and head out on their journey to commercialization.

Antonio Ambra, managing director of AIC Group, North America, explains how his company, a leading systems integrator for the steel industry, is helping traditional steel companies leverage modern technologies and how they can bring these technologies and people together to not just address sustainability challenges, but also drive real-time improvement through data capture and analytics.

Dermot Carragher and Peter McGinnity, founders of Irish company ControlSoft Automation Systems, discuss how outdated systems can hinder progress and share how a transition to solutions that unify people and technology is essential for modernization and growth, and how this single-plan-based collaboration is just as critical in the supply chain too.

A global confectionery company representative explains how essential digitalization is in business continuity, not just for handling supply-chain disruptions and the effects of global events, but also for absorbing the pressures of organic and inorganic expansion. He goes onto explain his company’s digital transformation mindset.

Finally, Marti Cortada, U.S. business development manager for Adasoft, a company that specializes in factory management and industry 4.0, explains what best-in-class pharmaceutical operations look like and how his company’s mantra “because people empower factories” makes a real impact.

These video interviews – and more than 100 others – are available at the ROKStudios portal, which contains inspirational insights from industry leaders, technology experts, domain specialists and visionary innovators.

About Rockwell Automation
Rockwell Automation, Inc. (NYSE: ROK), is a global leader in industrial automation and digital transformation. We connect the imaginations of people with the potential of technology to expand what is humanly possible, making the world more productive and more sustainable. Headquartered in Milwaukee, Wisconsin, Rockwell Automation employs approximately 27,000 problem solvers dedicated to our customers in more than 100 countries as of fiscal year end 2024. To learn more about how we are bringing the Connected Enterprise to life across industrial enterprises, visit www.rockwellautomation.com.

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Seeing Machines to showcase world-leading interior sensing solutions at CES 2025

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CANBERRA, Australia, Jan. 8, 2025 /PRNewswire/ — Seeing Machines Limited (AIM: SEE), the advanced computer vision technology company that designs AI-powered operator monitoring systems to improve transport safety, will showcase its world-leading interior sensing technology at the Consumer Electronics Show (CES) 2025 in Las Vegas.

CES, the biggest event in the consumer technology calendar, runs from 7 January through 10 January 2025. Seeing Machines’ immersive technology demonstrations will be held by appointment at a private suite in the Westgate Las Vegas Resort and Casino and in a purpose built test car, showcasing the Company’s next generation software and algorithm developments for its FOVIO driver and occupant monitoring system (DMS/OMS) technology. In addition, following the Company’s recent announced collaboration agreement with Mitsubishi, both companies will be presenting the growth opportunities created by the strategic combination of technologies at the official Seeing Machines suite.

Seeing Machines’ DMS and OMS technology can be found integrated into a range of Tier 1 customer and partner demonstrations, who will also be showcasing at CES. This includes the Company’s Guardian Generation 3 software which will be featured at Ambarella’s invitation-only exhibition. Seeing Machines’ next-generation aftermarket driver-safety solution leverages Ambarella’s CV25 AI SoC to deliver an industry-leading AI performance per watt, enabling the Company to enhance the overall performance of Guardian for commercial vehicles, while improving road safety globally and helping its customers meet emerging regulations, including those now in effect in Europe.

Working with QNX, Seeing Machines is integrating its interior sensing technology with QNX® Cabin, where the Company’s advanced algorithms will be leveraged to enable OEMs to monitor for driver drowsiness and distraction, mitigating risks associated with unsafe driving and enabling compliance with international safety regulations.

As new laws come into place across a range of jurisdictions mandating the use of technology inside the vehicle to monitor drivers for distraction and fatigue, Seeing Machines continues to leverage this building regulatory momentum, having won a total of 18 automotive programs for 11 individual OEMs, underpinned by over 18 billion kilometers of driving data and delivered with some of the world’s leading automotive manufacturers. Seeing Machines also leads the way as a trusted partner in discussions with regulators and consumer safety bodies around the globe with the Company’s world class human factors team and AI-powered data as part of its relentless determination to reduce road fatalities to zero.

Seeing Machines’ leadership and technical subject matter experts will be on hand throughout CES to explain how new regulations are driving innovation toward enhanced road safety and what this means for the future of the automotive industry.

Seeing Machines (AIM:SEE) is revolutionising global transport safety, developing and licensing proprietary technology to some of the world’s leading automotive manufacturers and partnering with some of the largest automotive and aviation industry brands. The Company uses advanced machine vision technology to precisely measure and analyse head pose, eyelid movements and eye gaze under a full spectrum of demanding lighting conditions, including through sunglasses. This data is processed to interpret driver attention state, drowsiness and impairment levels to provide critical inputs in real-time to advanced driver assistance systems (ADAS), as well as to vehicle cockpit, comfort and convenience systems.  Seeing Machines continues to expand its growing list of occupant monitoring features as Tier-1 and OEM customers add new safety and comfort and convenience functions with the move to higher resolution wide field of view cameras. www.seeingmachines.com 

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