Artificial Intelligence
Global Neuromorphic Computing Systems Market, 2020-2028: IBM, Intel, Qualcomm, and Samsung have been Working Towards Developing Neuromorphic Computing Systems
Dublin, Oct. 16, 2020 (GLOBE NEWSWIRE) — The “Neuromorphic Computing Systems Market Size, Market Share, Application Analysis, Regional Outlook, Growth Trends, Key Players, Competitive Strategies and Forecasts, 2020 To 2028” report has been added to ResearchAndMarkets.com’s offering.
Nneuromorphic computers offer faster computing capabilities with relatively lower power consumption and compact hardware compared to traditional computing methods.
Currently, neuromorphic computing systems are being extensively used for applications such as image recognition and processing, signal recognition and processing, data processing, and object recognition, among others. Neuromorphic computing systems have been adopted by several end-use industries such as consumer electronics, aerospace, and defense, healthcare, automotive and industrial automation, among others for efficient computing solutions.
IT giants including International Business Machines (IBM) Corporation, Intel Corporation, Qualcomm, Inc., and Samsung Electronics Co. Ltd., among others have been working towards developing neuromorphic computing systems. Numerous other companies have also been engaged in creating sophisticated computing systems for real-world and simulation applications.
The aerospace and defense industry has started to incorporate neuromorphic computing in order to develop new age command and control systems. In addition, the practice of neuromorphic computing for improving healthcare facilities and monitoring medical conditions has also resulted in significant growth in the overall neuromorphic computing systems market.
In addition, the market report for neuromorphic computing systems further includes an in-depth analysis of current and future market traits, attractive market backed by real-time statistical data, and market dynamics such as drivers, challenges, and their proportional impact on the overall market growth. The validation of market estimation is buttressed with two-year historical data and a comprehensive competitive analysis of leading neuromorphic system developers. Therefore, the report will provide an overall 360 outlook for the current market and future estimations for the period from 2020 to 2028.
The global neuromorphic computing systems market is segmented, based on application, into the following categories:
- Image Recognition and Processing
- Signal Recognition and Processing
- Data Processing
- Object Recognition
In 2019, image recognition and processing dominated the overall neuromorphic computing systems in terms of market value. Neuromorphic computing has been widely used in image recognition and processing applications. Image recognition and processing is the most common and widely used application for neuromorphic computing. Rising demand for digital camera and image processing for various end-use verticals such as military and defense, machine vision, and healthcare have bolstered the demand for advanced image recognition and processing.
In addition, the use of high-resolution cameras in mobile devices and image recognition coupled with advanced artificial intelligence has been encouraging the adoption of neuromorphic computing in consumer electronics. Thereby, along with significant growth in image acquisition hardware, the neuromorphic computing systems market for image recognition and processing application is also expected to exhibit considerable growth in the following years.
Other neuromorphic computing system applications including signal recognition and processing, data processing, and object detection have been contributing significantly in the overall neuromorphic computing systems market. The industrial end-use vertical has been incorporating object recognition for applications such as machine learning and robotics. Furthermore, signal recognition and processing have played a vital role in aerospace and defense, and IT and Telecom industry. Therefore, signal recognition and processing, data processing, and object recognition applications are expected to witness strong growth along with the growth in the aforementioned end-use verticals in the following years.
In 2019, North America attributed to the largest market value share in the global neuromorphic computing system in terms of market value. The region is mainly backed by the U.S. which has a strong presence of neuromorphic computing system companies. Owing to consistently flourishing industry verticals such as aerospace and defense, robotics technology, consumer electronics and artificial intelligence (AI), the demand for advanced neuromorphic computing systems has been witnessing significant growth in the past few years.
In addition, consumer acceptance for new technologies has further encouraged the development of neuromorphic computing systems in this region. Thereby, North America is expected to dominate the overall neuromorphic computing systems market throughout the forecast period.
Europe trailed North America in the overall neuromorphic computing systems market in terms of market value. Numerous European countries have recognized the importance of neuromorphic computing systems for a variety of industrial applications including machine vision, Chabot, and artificial intelligence (AI).
In addition, industry verticals such as consumer goods, automotive, and healthcare, among others have started to incorporate a neuromorphic computing systems in this region. The region is expected to offer high demand for neuromorphic computing systems in the following years.
Key Topics Covered:
1. Preface
2. Executive Summary
3. Global Neuromorphic Computing Systems Market Analysis
3.1. Global Neuromorphic Computing Systems Market Overview
3.2. Market Inclination Insights
3.2.1. Recent Trends
3.2.2. Future Outlook
3.3. Market Dynamics
3.3.1. Market Drivers
3.3.2. Market Challenges
3.4. See-Saw Analysis
3.5. Attractive Investment Proposition
3.6. Market Positioning of Key Industry Participants
3.6.1. Major Strategies Adopted
3.6.2. Analyst Recommendations
4. Global Neuromorphic Computing Systems Market Value, By Application, 2018 – 2028 (US$ Mn)
4.1. Market Analysis
4.2. Image Recognition and Processing
4.3. Signal Recognition and Processing
4.4. Data Processing
4.5. Object Recognition
5. Global Neuromorphic Computing Systems Market Value, By Industry Vertical, 2018 – 2028 (US$ Mn)
5.1. Market Analysis
5.2. Consumer Electronics
5.3. Aerospace and defense
5.4. Healthcare
5.5. IT and Telecom
5.6. Automotive
5.7. Other industry verticals (Robotics, industrial Automation, etc.)
6. North America Neuromorphic Computing Systems Market Analysis, 2018 – 2028 (US$ Mn)
7. Europe Neuromorphic Computing Systems Market Analysis, 2018 – 2028 (US$ Mn)
8. Asia Pacific Neuromorphic Computing Systems Market Analysis, 2018 – 2028 (US$ Mn)
9. Rest of World (RoW) Neuromorphic Computing Systems Market Analysis, 2018 – 2028 (US$ Mn)
10. Company Profiles
- Applied Brain Research Inc.
- BrainChip Inc.
- Brain Corporation
- General Vision Inc.
- HRL Laboratories LLC
- IBM Corporation
- Intel Corporation
- Knowm Inc.
- Numenta Inc. Qualcomm Inc.
- Samsung Electronics Ltd.
- Vicarious FPC Inc.
For more information about this report visit https://www.researchandmarkets.com/r/qcfce5
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Artificial Intelligence
Clinical Trials Matching Software Market Projected to Reach $832.56 million by 2030 – Exclusive Report by 360iResearch
PUNE, India, April 18, 2024 /PRNewswire/ — The report titled “Clinical Trials Matching Software Market by Functionality (Analytics & Reporting, Compliance Tracking, Data Management), Deployment (Cloud & Web Based, On-Premise), End-Use – Global Forecast 2024-2030” is now available on 360iResearch.com’s offering, presents an analysis indicating that the market projected to grow from a size of $342.20 million in 2023 to reach $832.56 million by 2030, at a CAGR of 13.54% over the forecast period.
“The Global Surge in Adoption of Matching Software for Enhanced Participant Enrollment”
Clinical trials matching software stands at the forefront of revolutionizing clinical research by automating the process of identifying and enrolling eligible participants. These platforms offer a streamlined approach to match patient health profiles with trial requirements, accelerating enrollment and supporting the shift toward personalized healthcare using these advanced AI and ML technologies. Although integrating these systems poses challenges due to variations in healthcare IT infrastructure and the imperative for rigorous data security, the potential for market growth is substantial. In the Americas, a robust clinical trials ecosystem thrives; in the European Union, it has unified regulatory standards and extended to emerging regions such as the Middle East, Africa, and the APAC countries; the demand for such innovative solutions is on a steep rise. This demand is fueled by governmental support, the evolving regulatory landscape, and strategic partnerships to embed these solutions within electronic health records, underscoring a global movement toward optimizing clinical trial processes to better cater to specific patient demographics.
Download Sample Report @ https://www.360iresearch.com/library/intelligence/clinical-trials-matching-software
“The Rise of Virtual Trials and Advanced Matching Software”
The healthcare landscape is witnessing a transformative shift toward virtual clinical trials, fueled by technological advancements and the necessity for continuity during the COVID-19 pandemic. This transition supports research amid social distancing measures and introduces significant cost savings by reducing the need for physical infrastructure and in-person interactions. The efficiencies brought by electronic health records (EHR), wearable technologies, and automation streamline the entire process, from patient recruitment to data analysis. Several approaches, endorsed by regulatory bodies such as the FDA, represent a leap forward in making clinical trials more accessible and streamlined, ensuring that more patients can participate in potentially life-saving research without the geographical and logistic constraints of traditional trials.
“Enhancing Clinical Trials through Advanced Analytics, Rigorous Compliance, and Precision-Patient Matching”
Integrating advanced analytics, meticulous compliance monitoring, and precision-patient matching marks a significant advancement toward maximizing efficiency and fostering trial diversity. The software delivers insightful data on trial progress, participant demographics, and enrollment figures, empowering stakeholders to make well-informed decisions and optimize resource distribution to meet trial goals effectively by implementing cutting-edge analytics. The built-in compliance feature ensures trials are conducted in strict adherence to regulatory standards, minimizing risks associated with non-compliance. Furthermore, a robust data management system guarantees the integrity and availability of clinical trial data, which is critical for the seamless operation and real-time analysis of trials. The software includes state-of-the-art patient matching technology, which employs sophisticated algorithms and artificial intelligence to expedite recruitment by accurately identifying candidates who match specific trial requirements. This innovative approach accelerates the recruitment timeline and enhances the diversification of trial participants, paving the way for more inclusive and representative clinical research outcomes.
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“Medidata by Dassault Systèmes SE at the Forefront of Clinical Trials Matching Software Market with a Strong 11.30% Market Share”
The key players in the Clinical Trials Matching Software Market include International Business Machines Corporation, Science 37, Inc. by eMed, LLC, Medidata by Dassault Systèmes SE, AutoCruitment LLC, Deep 6 AI Inc., and others. These prominent players focus on strategies such as expansions, acquisitions, joint ventures, and developing new products to strengthen their market positions.
“Introducing ThinkMi: Revolutionizing Market Intelligence with AI-Powered Insights for the Clinical Trials Matching Software Market”
We proudly unveil ThinkMi, a cutting-edge AI product designed to transform how businesses interact with the Clinical Trials Matching Software Market. ThinkMi stands out as your premier market intelligence partner, delivering unparalleled insights with the power of artificial intelligence. Whether deciphering market trends or offering actionable intelligence, ThinkMi is engineered to provide precise, relevant answers to your most critical business questions. This revolutionary tool is more than just an information source; it’s a strategic asset that empowers your decision-making with up-to-the-minute data, ensuring you stay ahead in the fiercely competitive Clinical Trials Matching Software Market. Embrace the future of market analysis with ThinkMi, where informed decisions lead to remarkable growth.
Ask Question to ThinkMi @ https://app.360iresearch.com/library/intelligence/clinical-trials-matching-software
“Dive into the Clinical Trials Matching Software Market Landscape: Explore 190 Pages of Insights, 286 Tables, and 22 Figures”
PrefaceResearch MethodologyExecutive SummaryMarket OverviewMarket InsightsClinical Trials Matching Software Market, by FunctionalityClinical Trials Matching Software Market, by DeploymentClinical Trials Matching Software Market, by End-UseAmericas Clinical Trials Matching Software MarketAsia-Pacific Clinical Trials Matching Software MarketEurope, Middle East & Africa Clinical Trials Matching Software MarketCompetitive LandscapeCompetitive PortfolioInquire Before Buying @ https://www.360iresearch.com/library/intelligence/clinical-trials-matching-software
Related Reports:
Clinical Trial Support Services Market – Global Forecast 2024-2030Virtual Clinical Trials Market – Global Forecast 2024-2030Clinical Trials Management System Market – Global Forecast 2024-2030About 360iResearch
Founded in 2017, 360iResearch is a market research and business consulting company headquartered in India, with clients and focus markets spanning the globe.
We are a dynamic, nimble company that believes in carving ambitious, purposeful goals and achieving them with the backing of our greatest asset — our people.
Quick on our feet, we have our ear to the ground when it comes to market intelligence and volatility. Our market intelligence is diligent, real-time and tailored to your needs, and arms you with all the insight that empowers strategic decision-making.
Our clientele encompasses about 80% of the Fortune Global 500, and leading consulting and research companies and academic institutions that rely on our expertise in compiling data in niche markets. Our meta-insights are intelligent, impactful and infinite, and translate into actionable data that support your quest for enhanced profitability, tapping into niche markets, and exploring new revenue opportunities.
Contact 360iResearchMr. Ketan Rohom360iResearch Private Limited,Office No. 519, Nyati Empress,Opposite Phoenix Market City,Vimannagar, Pune, Maharashtra,India – 411014.Email: [email protected]: +1-530-264-8485India: +91-922-607-7550
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Artificial Intelligence
RepTrak Announces 2024 Global RepTrak® 100 Report
BOSTON, April 18, 2024 /PRNewswire/ — The RepTrak™ Company, the world’s leading reputation data and insights company, released its annual Global RepTrak 100 report. Utilizing its advanced reputation monitoring software, RepTrak gathered data from more than 243,000 survey responses across 14 major economies to rank the world’s 100 most reputable companies. They share that ranking alongside a full analysis of global corporate reputation trends and corresponding public sentiment in the 2024 report.
After two years of consecutive Reputation Score declines, this year’s Score is back up with an increase from 73.2 in 2023 to 73.8 in 2024. It’s a small increase after 2023’s full one-point drop. However, it’s an encouraging sign that companies have begun to recover from reputation falls driven by many challenges: macroeconomic issues, workplace difficulties, product problems, and corporate responsibility skepticism.
“This year’s report underscores a pivotal shift in the corporate landscape, spotlighting the remarkable adaptability and dedication of the Top 100 companies in responding to the dynamic needs of stakeholders,” states RepTrak CEO Mark Sonders. “The companies featured in our report are not just riding the wave of change; they are the ones steering it, proving that the best approach to business is one that embraces evolution and champions progress.”
RepTrak’s report explores how people thought, felt, and acted toward companies over the past year. Findings include notable increases in Conduct and Citizenship efforts, stakeholders’ rising willingness to invest, culturally resonant brand communications, and ESG Scores that soared despite skepticism around the acronym.
To read the full 2024 Global RepTrak 100 report, please visit: www.reptrak.com/globalreptrak
About RepTrak
The RepTrak™ Company is the world’s leading reputation data and insights company. We help companies by organizing and grading a variety of reputational elements, offering a real-world report card on their corporate reputation. Subscribers to the RepTrak program use our predictive insights to protect business value, improve return on investment, and increase their positive impact on society. RepTrak’s pairing of advanced metrics and dedicated reputation advisors offers clients an actionable analysis of their reputation data, aligning business objectives with stakeholder sentiment across different markets and sectors.
Established in 2004, The RepTrak Company owns the world’s largest reputation benchmarking database, gathering over 1 million company ratings per year used by CEOs, boards, and executives in more than 60 countries worldwide. For more information, please visit: www.reptrak.com
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Artificial Intelligence
Group-IB takes part in a global operation to cripple Canadian Phishing-as-a-Service provider LabHost
SINGAPORE, April 18, 2024 /PRNewswire/ — Group-IB, a leading cybersecurity company aimed at investigating, preventing, and fight digital crime announced today that it participated in a coordinated global takedown operation against prominent Canadian Phishing-as-a-Service (PhaaS) provider LabHost, which has led to the arrest of 37 suspects across the United Kingdom and around the world by law enforcement agencies. As part of the operation, Group-IB also conducted an extensive analysis of LabHost’s criminal history and infrastructure, including insights into LabHost’s administrative platform and the services it provides to its purported user base which exceeds 2,000 subscribers worldwide, who illegally obtained around 480,000 card numbers, 64,000 pin numbers, and over 1 million passwords from victims used for websites and other online services, according to law enforcement agencies.
“By leveraging our Threat Intelligence and Digital Risk Protection, we are able to identify and monitor phishing attacks and websites like those deployed by LabHost and its subscribers around the world, enabling us to actively alert and protect our customers, and in turn, their customers as well,” said Dmitry Volkov, Chief Executive Officer of Group-IB. “Today’s takedown operation demonstrates the agility and responsiveness of our decentralized Digital Crime Resistance Centers, and how quickly we can provide immediate and local assistance wherever our customers may be.”
First uncovered in late 2021, LabHost emerged as a fully automated Phishing-as-a-Service (PhaaS) platform, streamlining the creation of phishing websites meticulously mirroring the interface and functionality of prominent banking, postal, and financial entities, aimed at intercepting, seizing, and profiting from users’ personal, credit card, and online banking credentials. Users are prompted to select from various “membership plans,” tailored to target businesses and individuals in either the United States and Canada, or globally, akin to mobile subscription models. These plans encompass “standard,” “premium,” and “world membership” tiers, priced between US$179 and US$300 monthly, with options for monthly, quarterly, or annual billing cycles.
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