Technology
SoftBank Corp. and Quantinuum Announce Groundbreaking Partnership Toward Practical Application of Quantum Computing
Published
1 year agoon
By
Partnership to drive commercial value through practical go-to-market use cases and develop business model for a quantum data center
TOKYO and BROOMFIELD, Colo., Jan. 28, 2025 /PRNewswire/ — SoftBank Corp. (“SoftBank“) and Quantinuum (“Quantinuum“) announced they agreed to a wide-ranging partnership in quantum computing.
By combining their respective strengths, both companies will unlock innovative quantum computing solutions that will overcome the limitations of classical artificial intelligence (AI) and realize next-generation technologies.
This unique initiative coincides with the International Year of Quantum Science and Technology (IYQ) in 2025, and it is expected to ignite new business opportunities through the dynamic fusion of AI and quantum computing.
The Necessity of Quantum Computing Beyond the Limits of AI
In this modern era, AI is delivering impressive results across various domains. However, it is widely recognized that there are still significant challenges that AI alone is struggling to overcome. Complex optimization problems, deciphering causal relationship analysis, and conducting high-precision simulations based on fundamental equations remain formidable obstacles for current AI technologies.
Moreover, the hybrid approach that combines Central Processing Units (CPUs), Graphics Processing Units (GPUs), and Quantum Processing Units (QPUs) holds the potential to further extend the capabilities of AI. By leveraging the unique strengths of each type of processing unit, hybrid systems can execute more advanced and diverse computations, providing innovative solutions that surpass traditional limitations.
SoftBank and Quantinuum believe in the power of quantum computing and are committed to exploring its transformative potential.
Current State and Challenges of Quantum Computing
Despite impressive growth in the quantum computing sector, several technical and business challenges need to be addressed to advance the state-of-the-art so that quantum computers are used to solve practical problems.
(1) Building a Business Model
Initial Investment and Operational Costs: The substantial initial investment and operational costs required for the development and deployment of quantum computers lack concrete cost recovery strategies, which in turn suppresses the drive for companies to develop and adopt the technology.Clarification of Revenue Models: The business models for generating revenue, including the methods of offering quantum computers and setting usage fees, have not yet been fully realized.
(2) Establishing Specific Use Cases
Discovering Use Cases: There is a shortage of use cases that clearly demonstrate which fields quantum computers will be useful in. Understanding the market size and revenue models through clear examples, especially in areas such as quantum chemical calculations and machine learning, is necessary.Understanding the Market and Revenue Predictions: It is crucial to specifically identify the areas where computations can only be performed by quantum computers and are commercially viable, as well as to predict the timing and scale of these applications.
(3) Advancing Hardware and Software Technologies
Limitations and Challenges of Hardware: The current hardware performance (number of qubits and operation precision) of quantum computers is inadequate for handling practical problems, and significant enhancements in performance are needed for practical use.Software Development and Error Mitigation: The development of hybrid algorithms that combine traditional methods, as well as advancements in error suppression, mitigation, and correction technologies, are essential to enable practical computations. Furthermore, developing technologies that mutually complement hardware and software are also indispensable.Timing for Service Provision: Making decisions based on a deep understanding of technology to provide services at the optimal timing requires assessing the speed of technological advancements and market needs.
Key Activities
SoftBank and Quantinuum are committed to addressing these challenges together to advance the practical application of quantum computers.
(1) Joint Market Research & Business Model Development for Quantum Data Center
With a view toward the realization of a “quantum data center” capable of performing advanced calculation processing by combining CPUs, GPUs and quantum computers (QPUs), both companies will use the Japanese market as a foothold to conduct global market research in the Asia-Pacific region and other regions, and explore specific business models based on that research.Both companies will jointly consider methods to reduce investment risks, such as revenue sharing and cost sharing.
(2) Construction of Quantum Use-Case Timelines and Validation
SoftBank will provide its own business challenges as use cases.Both companies will clarify use cases in quantum chemistry and network analysis, and construct a timeline showing when these use cases will be realized. In quantum chemistry, the search for new optical switch materials for All Optical Networks is anticipated, while in network analysis, the application to anomaly detection and fraud detection in SoftBank’s communication network is envisioned.Both companies will develop software technology that makes effective use of limited hardware resources, and explore methods for linking CPUs, GPUs, and QPUs.
Comments from each company
Ryuji Wakikawa, Head of Research Institute of Advanced Technology, SoftBank Corp., commented: “SoftBank believes in the potential of quantum computers and has been testing and evaluating various internal issues using quantum computers, and has started to obtain certain results. However, as a telecommunications operator, there are still many challenges remaining regarding how to provide quantum computing services in Japan. Through our collaboration with Quantinuum, which possesses the world’s highest-performance quantum computer hardware, we aim to be the first in the world to identify problems that can only be solved by quantum computers and look forward to significantly accelerating the practical application of quantum computing.”
Dr. Rajeeb Hazra, President and CEO of Quantinuum, commented: “Our partnership with SoftBank represents a pivotal moment in the evolution of quantum computing. By combining our strengths, we are poised to unlock innovative solutions that will not only enhance the capabilities of AI but also tackle challenges that have long been beyond reach. Together, we are laying the groundwork for a future where quantum technologies drive transformative advancements across multiple industries.”
By integrating quantum computing with AI, this initiative is expected to contribute to problem-solving in diverse fields such as healthcare, finance, logistics, and energy. This collaboration not only addresses unsolved challenges but also creates new market opportunities and fosters technological innovation across society.
About SoftBank Corp.
Guided by the SoftBank Group’s corporate philosophy, “Information Revolution – Happiness for everyone,” SoftBank Corp. (TOKYO: 9434) operates telecommunications and IT businesses in Japan and globally. Building on its strong business foundation, SoftBank Corp. is expanding into non-telecom fields in line with its “Beyond Carrier” growth strategy while further growing its telecom business by harnessing the power of 5G/6G, IoT, Digital Twin and Non-Terrestrial Network (NTN) solutions, including High Altitude Platform Station (HAPS)-based stratospheric telecommunications. While constructing AI data centers and developing homegrown LLMs specialized for the Japanese language with one trillion parameters, SoftBank is applying AI to enhance radio access network performance (AI-RAN) with the aim of becoming a provider of next-generation social infrastructure.
To learn more, please visit https://www.softbank.jp/en/.
About Quantinuum
Quantinuum, the world’s largest integrated quantum computing company, pioneers powerful quantum computers and advanced software solutions. Quantinuum’s technology drives breakthroughs in materials discovery, cybersecurity, and next-gen quantum AI. With around 600 employees, including 370+ scientists and engineers, Quantinuum leads the quantum computing revolution across continents.
For more information, please visit the website at www.quantinuum.com.
SoftBank, the SoftBank name and logo are registered trademarks or trademarks of SoftBank Group Corp. in Japan and other countries.Other company, product and service names in this press release are registered trademarks or trademarks of the respective companies.
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SOURCE Quantinuum
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Technology
Wearable Technology Market Expected to Reach $183.2 Billion by 2031, Growing at a CAGR of 12.75% — Allied Market Research
Published
38 minutes agoon
April 21, 2026By
Surge in AI & IoT-enabled smart wearables, rising healthcare monitoring demand, and expanding enterprise deployments are reshaping the global wearable technology market.
WILMINGTON, Del., April 21, 2026 /PRNewswire/ — Allied Market Research has published a comprehensive new report titled, “Wearable Technology Market by Device, Product Type, and Application: Global Opportunity Analysis and Industry Forecast, 2024–2033.” According to the report, the global wearable technology market size was valued at USD 54.8 billion in 2020 and is projected to reach USD 183.2 billion by 2031, registering a CAGR of 12.75% from 2022 to 2031. Rising global rates of chronic disease, post-pandemic behavioral shifts toward preventive health, and the accelerating integration of artificial intelligence and IoT connectivity into wearable devices are the primary forces fueling robust wearable technology market growth across consumer, clinical, and enterprise segments.
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https://www.alliedmarketresearch.com/request-sample/355
Key Market Snapshot
Report Title
Wearable Technology Market — Global Opportunity Analysis & Industry Forecast, 2024–2033
Market Size (2020)
USD 54.8 Billion
Market Forecast (2031)
USD 183.2 Billion
CAGR (2022–2031)
12.75 %
Leading Segment by Product
Smartwatches & Fitness Bands
Leading Application
Healthcare & Medical Monitoring
Leading End User
Consumer Electronics Segment
Dominant Region
North America
Fastest Growing Region
Asia-Pacific
Top Growth Driver
AI & IoT-Enabled Wearable Devices
Report Coverage
2017–2033 | Multi-segmented, Multi-regional
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Key Market Insights
Market Size: The global wearable technology market was valued at USD 54.8 billion in 2020 and is projected to reach USD 183.2 billion by 2031 growing at a CAGR of12.75% making it one of the fastest-growing consumer electronics and digital health segments worldwide.The Smartwatches and fitness bands, who are not only growing the presence in the field of heart rate tracking or sleep tracking but also new product advances such contactless payments along with smartphone features basically serving needs for both a proliferation of wellness consumers and burgeoning population of more clinically oriented users.The Highest Growing Application Vertical: Healthcare and medical monitoring is the fastest-growing segment of application vertical, due to increasing clinical validation for ECG monitoring, blood glucose estimation, SpO2 tracking & fall detection in wearable devices — allowing continuous remote patient management.Hearables as a New Subsector: A growing sector of wearables, hearables — smart earbuds and AI-driven hearing aids are one of the most dynamic wearable categories now, propelled further by relaxation of US regulations on over-the-counter (OTC) hearing aids.Regional Leaders: North America led the market for global wearable technology in 2020 due to high consumer technology adoption, advanced healthcare infrastructure and a strong ecosystem for employer-subsidized wellness programs.Largest Growth Frontier: Equipped with increasing smartphone penetration, expanding urban middle class incomes, and large young rural populations across India, China, South Korea & Southeast Asia; AsiaPacific is undoubtedly the fastest growing region.Artificial intelligence (AI) as an Enabler: The addition of AI built directly into wearables — delivering personalized fitness coaching, real-time alerts to changes in health conditions, anomaly detection and predictive analytics — will finally be transforming the nature of smart watches from mere data collectors to actual intelligent health companions.
Technology Drivers
Introduction There are several converging technologies that will redefine usage wearables. On-device AI and machine learning provide personal fitness recommendations, real-time health alerts, and behavioral coaching to individual users which will drive stickiness on the platform The widespread emergence of 5G infrastructure worldwide is enabling low-latency biosignal streaming to cloud health platforms, paving the way for new use cases in remote patient monitoring and augmented reality wearables along with industrial safety applications.
Flexible batteries, which can keep power-hungry chip designs thinner and allow energy harvesting from body heat and motion, combined with increasingly compact chip design are helping create tinier devices that provide better fulfillment of consumer expectations surrounding comfort and aesthetics. With the birth of smart ring category — small, low-power and unobtrusive devices —shows that appetite is growing for wearable form factors beyond the wrist.
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Market Segmentation
Based on Product Type: Smartwatches: & amp; Fitness bands, hearables, medical wearables smart glasses and smart clothing.
By Application: Sports and fitness is still the largest segment by volume, while healthcare and medical monitoring is fastest-growing as biosensors receive clinical validation (for arrhythmia detection), continuous glucose monitoring and chronic disease management.
Global Shipments of Device by End User: Individual consumers are the leader in global shipments of devices. But healthcare providers and enterprise clients are scaling too quickly as wearables move past consumer toys to actual clinical and operational tools with credible ROI. Through comprehensive employee wellness programs, enterprises throughout North America and Europe are integrating wearables into their health initiatives that form another valuable institutional procurement channel, next to where most consumer wearables are sold today retail.
Regional Insights
North America will occupy the largest revenue share as a growing middle class translates to overall health, with high levels of consumer technology adoption and a healthcare system that has embraced remote monitoring. Consumer health wearables are accelerating clinical validation with FDA clearances, and sustained demand is being created by employer subsidized wellness programs, over above direct retail
Technological advances coupled with significant smartphone penetration and an increasing middle-class income are propelling growth of the Asia-Pacific market, which is also home to some of the youngest populations in world (in India, China, South Korea and Southeast Asia). China has the combined characteristics of being the largest manufacturer in the world as well as a large domestic consumer market: many new brands compete fiercely on feature set and price. India is forecast to also experience one of the highest regional growth rates until 2033 from e-commerce expansion and rising urban health awareness.
Europe has a large presence, spinning off notably to the medical and sports performance space. Representing a different landscape of data governance that wearable health platforms face today, consumer privacy awareness is affecting the market and EU digital health regulations actively are shaping product development for manufacturers worldwide. Its the UK and Germany, France and the Nordic nations that are at the fore.
LAMEA (Latin America, Middle East, and Africa) is an emerging high-growth opportunity. In Saudi Arabia, the UAE and Qatar this institutional push for wearables is being supported by government-led incentives for Smart City and digital health initiatives. For Latin American adoption, Brazil leads and South Africa anchors the African wearables ecosystem.
Competitive Landscape
The market is defined by intense competition among technology giants, specialized medical device makers, and consumer electronics challengers:
Apple leads the smartwatch segment with its Apple Watch ecosystem, integrating consumer wellness with clinical-grade health monitoring.Samsung competes through its Galaxy Watch and Galaxy Buds portfolio, backed by the Samsung Health platform.Fitbit (Google) pioneered consumer fitness tracking and is now targeting clinical-grade health monitoring within Google’s broader digital health ecosystem.Garmin commands premium loyalty among athletes and outdoor professionals through precision GPS and biometric analytics.Huawei and Xiaomi dominate volume in Asia-Pacific — Huawei through advanced health sensing and Xiaomi through ultra-competitive pricing in emerging markets.Abbott, Dexcom, and Medtronic lead in medical wearables, particularly continuous glucose monitors and implantable cardiac devices.Meta and Snap are pursuing next-generation augmented reality smart glasses.
Recent Developments
There are a few major trends that will influence the direction of the market in the near term. Non-invasive Blood Glucose monitoring is one of the most awaited features in future smartwatches and for good reason too; it could unlock the world’s biggest diabetic care market. So far, large language model-based AI coaching assistants have been dispersed in wearable platforms and are producing tailored fitness, sleep and stress management advice. For Consumer Domestics: The FDA and CE Clearances for ECG, Atrial Fibrillation Detection, And Blood Oxygen Monitoring Have Notably Broadened the Clinical Legitimacy of Smartwatches from Consumers Ruggedized wearables for workplace safety and augmented reality-assisted operations will deliver a high-value B2B channel targeting enterprise and industrial deployments. With technology conglomerates, healthcare systems, and insurers all vying to consolidate platforms and intellectual property across connected health, strategic M&A and investment activity is accelerating.
Analyst Perspective
Structural Inflection Point for Wearable Tech Market With the largest-aged population globally, they require continuous non-invasive monitoring of heart, lung and brain health by detecting early symptoms. At the same time, healthcare systems pressed financially are transitioning to preventive care models — a switch in which clinically validated consumer wearables form a critical enabling play.
The synthesis of AI-enabled edge computing, 5G, next-generation biosensor arrays, and flexible electronics is creating a new class of devices that will serve not only as data collectors but also as smart health companions with capabilities for personalization, anomaly detection and integration across larger digital health systems.
For market stakeholders, the key success factors all remain constant; device accuracy and clinical validation (with effective engagement that engenders habitual use), platform ecosystem stickiness (entrenchment to create a barrier to competition), data privacy & regulatory compliance, and the demonstrated ability to deliver measurable health outcomes that warrant a premium price point for consumers or institutional uptake. Those companies getting all four of these dimensions right are best positioned to capture outsized value as the market scales through 2033
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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 end-to-end solutions along with information, education, advocacy, and networking resources to SMEs and early-stage start-ups to bring excellence to their processes. In addition, we offer a nurturing environment required to develop and grow businesses, including business planning; virtual support; market intelligence; acquiring resources; and getting direct access to finance, suppliers, and other experts to boost the growth of businesses and entrepreneurs.
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SOURCE Allied Market Research
Technology
AI Innovation Surges as Security Fundamentals Lag, Kroll Research Finds
Published
38 minutes agoon
April 21, 2026By
Key Takeaways
76% of organizations have experienced a security incident involving AI applications or models in the past two years. 27% of organizations report costs exceeding $1 million from AI-related security incidents.As organizational cyber maturity increases, the likelihood of experiencing an incident involving AI reduces significantly, from 89% (very low maturity) to 54% (very high maturity).
NEW YORK, April 21, 2026 /PRNewswire/ — Kroll, the leading independent provider of global financial and risk advisory solutions, has released global cyber resilience research which reveals that rapid artificial intelligence (AI) adoption is dramatically outpacing governance, security controls and incident preparedness.
It has become clear that AI, and in particular agentic AI, has changed the threat model permanently. The research results indicate that while AI is becoming embedded across enterprise operations, 76% of businesses have experienced a security incident involving AI applications or models in the past two years. The research reveals organizations lack the foundational security practices and governance frameworks necessary to deploy AI safely and effectively, costing almost one-third of organizations (27%) over one million dollars related to AI-related security incidents.
While there is appetite to incorporate the promise of AI into security infrastructure, 90% of respondents surveyed identified barriers preventing greater investment in AI security. Lack of clear ROI, insufficient executive understanding of AI risks and the belief that current measures are sufficient account for 40% of those barriers.
The Innovation-Security Trade-Off
The research shows that most organizations are inadequately prepared for AI threats, despite the rapid increase in attacks.
Organizations spend an average of 13% of their AI initiative budget on using AI to test security controls or to test the models themselves, leaving critical gaps in AI security posture and illuminating a disconnect between AI adoption and AI security investment.Companies with highly mature security practices are six times more likely to spend over 20% of their AI budget on testing security controls.Almost half (48%) of respondents stated they have little to no organizational governance on AI tool and service adoption, creating an expanded attack surface that extends far beyond the organization’s traditional perimeter.
Dave Burg, Global Group Head of Cyber and Data Resilience at Kroll, says, “Organizations are under pressure to embrace AI to respond faster and with greater precision to increasingly complex threats. However, this cannot come at the expense of the basics for prevention, detection and responding to attacks. We’re seeing businesses enthusiastically integrate AI into their operations without getting the fundamentals right first, and that’s creating a dangerous security debt.
The real story isn’t that AI is risky; it’s that without the right foundational security in place, AI amplifies existing security weaknesses. Fortunately, there are opportunities for organizations to remediate this. Kroll was recently among industry leaders joining CrowdStrike’s Charlotte AI AgentWorks Ecosystem which helps operationalize AI within managed detection and response, building tailored agents that accelerate investigations and response.”
Maturity Matters: Organizations with Strong Foundations Experience Significantly Fewer AI Incidents
As organizational cyber maturity increases, the likelihood of experiencing an AI-related security incident drops significantly:
89% of organizations with very low cyber maturity experience AI-related security incidents.In contrast, 54% of organizations with very high cyber maturity experience AI-related security incidents.Even further, 46% of organizations with very high cyber maturity reported zero AI-related cyber incidents in the past two years, demonstrating that robust security foundations directly translate to AI security resilience.This is understandable as 69% of organizations with very high cyber maturity have a centralized AI platform strategy with security controls, compared to just 39% of those with very low cyber maturity.
Quiessence Philips, Head of Security Architecture and Engineering at Kroll, says, “AI’s ability to accelerate productivity and innovation is undeniable, and the goal is not to slow it down. However, adoption without concurrent investment in security foundations is not bold, it’s reckless. The agentic AI ecosystem is now the fastest-growing enterprise attack surface, and the organizations most at risk are the ones chasing the opportunity without building security alongside it. Secure architecture, identity management, incident response, security culture – these aren’t limitations on innovation, but what make innovation sustainable.”
You can access the full report on the Kroll website.
You can also register for the webinar discussing these results in-depth here.
About the Research
Kroll commissioned independent research firm Sapio Research to conduct a comprehensive study into cybersecurity resilience and risk alignment in enterprise organizations. The research surveyed 1,000 cybersecurity decision-makers at companies with annual revenues from $50 million to more than $5 billion across 10 countries: the United Kingdom, Ireland, Germany, Switzerland, the United States, Japan, Singapore, Australia, the United Arab Emirates and Saudi Arabia. The survey was conducted in November and December 2025.
About Kroll
As the leading independent provider of financial and risk advisory solutions, Kroll leverages our unique insights, data and technology to help clients stay ahead of complex valuation demands. Kroll’s team of more than 6,500 professionals worldwide continues the firm’s nearly 100-year history of trusted expertise spanning risk, governance, transactions and valuation. Our advanced solutions and intelligence provide clients the foresight they need to create an enduring competitive advantage. At Kroll, our values define who we are and how we partner with clients and communities. Learn more at kroll.com.
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SOURCE Kroll
LONDON, April 21, 2026 /PRNewswire/ — Premialab, the leading independent platform for quantitative analytics and systematic investment strategies, today announced that BBVA Global Markets QIS has joined its global contributor network. BBVA GM QIS will add its suite of rule-based strategies to the Premialab platform and leverage Premialab’s advanced analytics, including its Pure Factors framework, to independently benchmark and analyze performance and risk characteristics. This collaboration underscores Premialab’s commitment to deepening its quantitative solutions ecosystem and offering institutional investors a broader toolkit of data-driven strategies.
BBVA GM QIS offers a diverse suite of systematic strategies spanning equities including thematic and smart beta and systematic asset allocation, both aligned with its well-established Structured Products platform, as well as Alternative Risk Premia indices designed to capture systematic risk premiums available in the market. These solutions can also serve as overlays to traditional portfolios, providing additional income or hedging features.
Together, these investable systematic strategies enable investors to achieve their risk-return objectives by calibrating factor exposures and risk budgets in a flexible, transparent, and cost-efficient manner.
“Joining the Premialab platform is an exciting step for BBVA GM QIS,” said Pablo Suárez, Head of QIS at BBVA Global Markets. “We see Premialab as a natural partner, given the strong alignment between its independent analytics capabilities and our systematic investment framework. Its data infrastructure provides an ideal environment to showcase our strategies to a global institutional audience. This collaboration reflects our commitment to working closely together, enabling investors to better understand the risk and return drivers of our systematic solutions and how they can complement their broader portfolio objectives.”
We are delighted to partner with BBVA GM QIS,” said Adrien Geliot, CEO of Premialab. “Their quantitative expertise and strong track record in developing innovative, rule-based investment solutions align with our mission to bring greater transparency, consistency, and insight to the systematic investing landscape. This partnership expands our coverage and strengthens the value we deliver to institutional investors.
Premialab’s multi-asset, multi-region platform handles over 15 million data points daily across more than 7,000 investible systematic strategies, representing client assets under management of approximately USD 20 trillion. Its proprietary dataset and analytics provide detailed risk decomposition, factor attribution, and scenario-based analysis – enabling investors to make better allocation decisions.
Notes to Editors
About Premialab
Premialab is the leading independent platform that collaborates with leading investment banks and institutional investors globally, providing data, analytics, and risk solutions for systematic, factor, and multi-asset strategies. With offices in London, Paris, New York, Hong Kong, Dubai and Sydney, the company partners with the top 18 investment banks, leading asset managers, pension funds, sovereign wealth funds and insurance companies globally. For more information, please visit: www.premialab.com.
About BBVA CIB
BBVA is a global financial services group founded in 1857. The bank is present in more than 25 countries, has a strong leadership position in the Spanish market, is the largest financial institution in Mexico and it has leading franchises in South America and Turkey. In the United States, BBVA also has a significant investment, transactional, and capital markets banking business.
Its division BBVA Corporate & Investment Banking (BBVA CIB) brings together the activities of investment banking, markets, financing and transactional services for institutional investors and corporate clients. It has a strong global presence, providing services in 25 countries through an extensive team of experts, including investment banking specialists and advisors in specific industries and sectors. BBVA CIB offers a wide range of value-added products and financial solutions, for the simplest needs and for the most complex ones. Its mission is to help clients to carry out their projects and achieve their business, transformation and sustainability objectives, whether they are local or international.
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Wearable Technology Market Expected to Reach $183.2 Billion by 2031, Growing at a CAGR of 12.75% — Allied Market Research
AI Innovation Surges as Security Fundamentals Lag, Kroll Research Finds
Premialab Partners with BBVA CIB
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