Artificial Intelligence
Global Automated Machine Learning Market – Growth, Trends, COVID-19 Impact, and Forecasts (2022 – 2027)
New York, May 19, 2022 (GLOBE NEWSWIRE) — Reportlinker.com announces the release of the report “Global Automated Machine Learning Market – Growth, Trends, COVID-19 Impact, and Forecasts (2022 – 2027)” – https://www.reportlinker.com/p06279515/?utm_source=GNW
97% during the period of 2022-2027 (henceforth referred to as the forecast period).
Key Highlights
Machine learning (ML) is a subfield of artificial intelligence (AI) that enables training algorithms to make classifications or predictions through statistical methods, uncovering key insights within data mining projects. These insights subsequently drive decision-making within applications and businesses, ideally impacting key growth metrics. Since it revolves around algorithms, model complexity, and computational complexity, skilled professionals need to develop these solutions.
Machine learning (ML) has become an essential component of many parts of the business. Building high-performance machine learning applications, on the other hand, necessitates highly specialized data scientists and domain experts. The goal of automated machine learning (AutoML) is to decrease the need for data scientists by allowing domain experts to automatically construct machine learning applications without considerable knowledge of statistics and machine learning.
The performance of automated machine learning has advanced due to improvements in data science and artificial intelligence. Companies recognize the potential of this technology, and hence its adoption rate is likely to rise over the forecast period. Companies are selling automated machine learning solutions on a subscription basis, making it easier for customers to use this technology. Furthermore, it offers flexibility on a pay-as-you-go basis.
Machine learning (ML) is increasingly used in a wide array of applications, but there are insufficient machine learning experts to support this growth adequately. With automated machine learning (AutoML), the aim is to make machine learning easier to use. Therefore, experts should be able to deploy more machine learning systems, and less expertise would be needed to work with AutoML than when working with ML directly. However, the adoption of the technology is still shallow, restraining the market’s growth.
The adoption of AI is witnessing an increase after the COVID-19 pandemic as companies move towards leveraging intelligent solutions for automating their business processes. This trend is expected to continue over the coming years, further driving the adoption of AI in organizational processes.
Key Market Trends
BFSI Vertical to Drive the Market Growth
In recent years, AI and Machine Technologies have been increasingly adopted in the BFSI industry to enhance operational efficiency and improve the consumer experience. As data gain more attention, the demand for Machine Learning BFSI applications grows. Automated Machine learning can produce accurate and rapid results with enormous data, affordable processing power, and economical storage. In addition, the machine learning-led approach to system modernization will allow businesses to collaborate with other fintech services to adapt to modern demands and regulations while increasing safety and enabling security.
Banks must enhance their services to offer better customer service with the rising pressure in managing risk and increasing governance and regulatory requirements. Some fintech brands have been increasingly using AI and ML in various applications across multiple channels to leverage available client data and predict how customers’ needs are evolving, which fraudulent activities have the highest possibility of attacking a system, and what services will prove beneficial, among others.
Machine Learning-powered solutions enable finance firms to totally replace manual labor by automating repetitive operations through intelligent process automation, resulting in increased corporate productivity. Over the predicted period, examples include chatbots, paperwork automation, and employee training gamification. Machine learning is being used to automate financial processes.
Amid the COVID-19 pandemic, financial institutions are increasingly looking to connect and serve their customers through digital channels. Chatbots, account-opening and handling assistance, and technical assistance, among others., are increasingly witnessed in the market. For instance, Posh. Tech, Spixii, and many other fintech companies offer intelligent chatbots for critical customer-facing processes to banks.?
Automated Machine learning (ML) algorithms can significantly improve network security. Data scientists have been working on training systems to detect flags, such as money laundering techniques, which can be prevented by financial monitoring. The future holds a high possibility of machine learning technologies powering the most advanced cybersecurity networks.
Asia Pacific to Witness Significant Growth in the Market
Asia Pacific (APAC) is considered the fastest-growing market region in the coming years. This is due to increased investment in information technology (IT) and increased adoption of FinTech in the area. In addition, growing government interest in integrating AI into multiple industries is helping to develop markets in the region.
Machine learning is gaining momentum in China, and companies are using this technology to detect financial fraud, recommend products to consumers, and streamline industrial operations. Many machine learning projects fail due to inaccurate predictions made by machine learning algorithms that are not backed up by clean data and a robust data infrastructure.
The rise of AI has been made possible by exponentially fast and powerful computers and large, complex datasets. Applications such as machine learning, where the system identifies patterns in large datasets, prove AI’s practical and profitable potential. In China, with the ability of AI systems to monitor public spaces and scan internet traffic to determine user intent, the state provides enhanced automated machine learning tools for social control, monitoring, or censoring the population.
The increasing global demand for AI, especially in robotics, speech recognition, and visual recognition, is expected to boost the Japanese AI market. Further, the Rakuten Institute of Technology (RIT) in Japan focuses primarily on automated machine learning and deep learning, covering IoT, network optimization, fraud detection, NLP, computer vision, and virtual reality.
South Korea is a significantly developed nation. Moreover, the country makes significant investments in developing advanced technologies such as AI and ML. Various companies operating across the nation are getting investments from various sources that aid the market’s growth.
Competitive Landscape
The global automated machine learning market is moderately fragmented, with the presence of several players in the market that are catering to the market demand. The market is increasingly getting competitive as several new players are entering the market. As such, the strategies adopted by existing players to capture a greater number of customers coupled with the emergence of new players are increasing the competition in the market.
Conclusively, the market under study encompasses a high degree of competition and is expected to continue to remain highly competitive over the coming years.
December 2021 – Meta selected AWS as a key, long-term strategic cloud provider. Meta and AWS will work together to improve the performance of customers running PyTorch on AWS and accelerate how developers build, train, deploy, and operate artificial intelligence/machine learning models.
November 2021 – SAS added support for open-source users to its flagship SAS Viya platform. SAS Viya is for open-source integration and utility. The software user established an API-first strategy that fueled a data preparation process with machine learning?.
September 2021 – dotData, a full-cycle enterprise AI automation solutions provider, announced a partnership with Tableau, an analytics platform, to enable Tableau users to leverage the power of dotData’s AI Automation Capabilities. By combining Tableau’s data preparation and visualization capabilities with dotData’s augmented insights discovery and predictive modeling capabilities, Tableau users can perform full-cycle predictive analysis from raw data through data preparation and insight discovery through AI-based predictions and actionable dashboards.
Additional Benefits:
The market estimate (ME) sheet in Excel format
3 months of analyst support
Read the full report: https://www.reportlinker.com/p06279515/?utm_source=GNW
About Reportlinker
ReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need – instantly, in one place.
__________________________
Artificial Intelligence
How AIoT shapes the future of mobility: Hikvision at ITS World Congress 2024
HANGZHOU, China, Sept. 27, 2024 /PRNewswire/ — Hikvision made a significant impact at the ITS World Congress in Dubai with its captivating theme, “Embrace AIoT for safer, smarter, and greener mobility.” Its booth became a hub of innovation, where visitors explored AIoT solutions that are reshaping the transportation landscape, sparking deep conversations on the future of urban mobility.
Road safety revolution: harnessing AIoT for secure transportation
Hikvision’s commitment to road safety was on full display at its booth through the impressive array of AIoT solutions designed to create secure and reliable traffic environments. The company’s technology provides 24/7 traffic monitoring, ensuring continuous oversight of motor vehicles, non-motorized vehicles, pedestrians and environmental factors. This comprehensive, real-time information collection enables traffic managers to prevent accidents and enhance road safety. Among the showcased products was the 20 MP IR ANPR Checkpoint Capture Unit, renowned for its high-definition capture capabilities, bolstering traffic safety measures.
A standout innovation was the integration of advanced radar and camera technologies, ensuring uninterrupted, comprehensive detection even in adverse weather conditions. The Radar-Video Fusion Incident Detection Cameras, featured prominently in the product experience area, enable early detection and warning of potential hazards. They are particularly effective in challenging situations such as curved roads, blind spots at intersections, and obstacles beyond visual range.
Attendees also engaged with onboard monitoring products on the simulated bus, including dome network cameras, which is designed to enhance passenger safety. Driving assistance products, such as the Driver Status Monitor (DSM), were demonstrated to mitigate unsafe driving behaviors and ensure safer journeys.
Urban mobility redefined: smart traffic innovations
In the realm of smarter mobility, Hikvision showcased its multidimensional sensing technology, which integrates visible light sensors, infrared sensors, radar, and sonar. This technology expands perception capabilities, significantly improving traffic management and situational awareness. The use of AI-powered comprehensive sensing elevates incident monitoring and violation detection to unprecedented levels of accuracy and efficiency.
A major attraction was the Radar-Video Fusion TandemVu PTZ Camera, which integrates millimeter-wave radar with high-resolution cameras for extensive traffic detection and data analysis. AI-based algorithms combine these two systems to enhance target information, detecting up to 16 types of incidents. This leads to the development of a large-scale fusion model that merges spatial physical data with image semantic information. The result is ultra-long-range perception, achieving over 95% accuracy in vehicle trajectory detection. This robust system improves traffic violation management and optimizes traffic flow, significantly enhancing road efficiency.
At the simulated bus station, visitors observed how AI-assisted people counting automated the collection of passenger flow statistics at peak stop hours and bus line frequency during busy periods. Paired with smart bus stop digital signage, the solution improves bus service quality, operational efficiency, passenger experience, and overall public transport effectiveness.
Sustainable transportation: leading the charge for greener cities
Hikvision’s commitment to sustainable urban mobility was evident through its innovative green wave technology and eco-friendly checkpoint solutions. Green wave technology efficiently manages traffic flow to reduce congestion and lower carbon emissions, aligning with global sustainability goals. Visitors were particularly impressed by a case study showcasing a green wave solution implemented in Zhoushan, China. Over a stretch of 21 kilometers and 34 intersections, this main road cut travel times by 50%.
The use of DarkFighterX technology in checkpoint cameras also received significant attention. This technology senses both visible and invisible light, resulting in more accurate and realistic images. It enhances traffic violation enforcement efficiency while minimizing the need for high ambient light levels, thus reducing light pollution. The 9M DarkfightX ANPR Checkpoint Camera exemplified this dedication to environmental stewardship.
Frank Zhang, President of Hikvision MEA, remarked, “Hikvision supports sustainable urban planning by empowering traffic departments to address congestion and transportation challenges.” He further emphasized, “Our system’s openness fosters a secure and reliable platform for developing smart and green cities. Additionally, our solar technology is extensively utilized in remote areas, while our smart street lighting solutions reduce energy consumption by 20-30%, promoting intelligent urban transportation and advancing global sustainability objectives.”
Hikvision’s presence at the ITS World Congress in Dubai underscored its leadership in integrating AIoT technologies to drive safer, smarter, and greener mobility solutions. The engaging presentations and advanced product demonstrations captured significant attention from industry partners and customers, reaffirming the company’s role as a pioneer in shaping the future of urban transportation. As the world moves towards more intelligent and sustainable transportation systems, Hikvision remains at the forefront, embracing AIoT to create a safer, smarter, and greener future for all.
To find out more about Hikvision’s advanced traffic and public transport solutions, please explore the Hikvision official website.
Photo – https://mma.prnewswire.com/media/2516934/How_AIoT_shapes_future_mobility_Hikvision_ITS_World_Congress_2024.jpg
View original content:https://www.prnewswire.co.uk/news-releases/how-aiot-shapes-the-future-of-mobility-hikvision-at-its-world-congress-2024-302261298.html
Artificial Intelligence
Anti-Drone Market worth $7.05 billion by 2029 – Exclusive Report by MarketsandMarkets™
DELRAY BEACH, Fla., Sept. 27, 2024 /PRNewswire/ — The global anti-drone market was valued at USD 2.16 billion in 2024 and is projected to reach USD 7.05 billion by 2029; it is expected to register a CAGR of 26.7% during the forecast period according to a new report by MarketsandMarkets™. Increasing government spending on counter-drone technologies, rising incidence of critical infrastructure security breaches by unauthorized drones, and surge in adoption of aerial remote sensing technologies to safeguard critical infrastructure are attributed to the demand for anti-drone.
Download PDF Brochure: https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=177013645
Browse in-depth TOC on “Anti-Drone Market” 178 – Tables61 – Figures253 – Pages
Anti-Drone Market Report Scope:
Report Coverage
Details
Market Revenue in 2024
$ 2.16 billion
Estimated Value by 2029
$ 7.05 billion
Growth Rate
Poised to grow at a CAGR of 26.7%
Market Size Available for
2020–2029
Forecast Period
2024–2029
Forecast Units
Value (USD Million/Billion)
Report Coverage
Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
Segments Covered
By System Type, Application, Platform type, Vertical, and Region
Geographies Covered
North America, Europe, Asia Pacific, and Rest of World
Key Market Challenge
Vulnerability to hacking
Key Market Opportunities
Emphasis on improving unmanned aircraft systems technology
Key Market Drivers
Growing number of illicit activities
By System Type: Hybrid systems to account for the larger market share in the forecasted year.
The hybrid segment accounted for the largest share of the anti-drone market in 2029. The trends of integrating multiple anti-drone technologies are rising since they are most effective in detecting, tracking, and neutralizing drone threats. These systems merge electronic, kinetic, and lasers, providing a comprehensive defense solution against UAVs. Hybrid systems use electronic, kinetic, and laser-based countermeasures to offer optimum protection against drones. These systems are designed to detect, track, identify, categorize, and mitigate drones at operational wide ranges ranging from a few km up to tens of km.
By Platform: The ground-based segment accounted for the largest market share in the forecast year.
The ground-based segment will hold a major share of the anti-drone market in 2029. Many ground-based anti-drone systems use several electronic technologies, such as radar, IR sensors, acoustic systems, and RF & GNSS jammers. MESA radar solutions are used mostly for counter-UAS purposes, protecting critical infrastructure, military camps, and other security-sensitive sites from unauthorized drones. One such solution is EchoGuard, a ground-based airspace management solution that contains a software-defined 3D radar that can be specific to the site. This system can identify single or multiple off-chance drones, including swarms in unauthorized areas. They provide accurate and sustained airspace surveillance for the field of view (FOV) they are configured, and both human and AI-monitored visual checks. The system can be easily transported and integrated directly with the command-and-control centers or another identification sensor for portable use, and multiple units of the system can be combined to cover vast areas or lengths of borders. Major providers of ground-based counter-drone systems include companies like EchoDyne Corporation, DeTect, Meteksan Defense, and WhiteFox Defense. Acoustics-based Discovair G2 utilizes patented microphone arrays. With 128 interconnected microphone elements, the Discovair sensor units can establish azimuth and elevation to the target in real-time using advanced digital signal processing.
Inquiry Before Buying: https://www.marketsandmarkets.com/Enquiry_Before_BuyingNew.asp?id=177013645
By Region: Americas are expected to hold the largest share of the anti-drone market during the forecast period.
Americas is expected to capture the largest share in the anti-drone industry during the forecast period. The growth can be attributed to protecting crucial infrastructure in the region. Governments, particularly in the US, invest in anti-drone systems for military bases, borders, and critical infrastructure. For Instance, in April 2023, RTX secured a USD 237 million contract from the US Army to provide Ku-band Radio Frequency Sensors (KuRFS) and Coyote effectors. These systems are designed to detect and neutralize unmanned aircraft systems (UAS). The contract includes stationary and mobile systems and a specified quantity of effectors, all aimed at enhancing the Army’s operations within the US Central Command region.
Key Players-
The key companies offering anti-drone companies include RTX (US), Lockheed Martin Corporation (US), Leonardo S.p.A. (Italy), Thales (France), and IAI (Israel).
Get 10% Free Customization on this Report: https://www.marketsandmarkets.com/requestCustomizationNew.asp?id=177013645
Browse Adjacent Market: Semiconductor and Electronics Market Research Reports &Consulting
Related Reports:
Drone Sensor Market Size, Share, Industry Growth & Trends by Sensor Type, Platform (VTOL Type, Fixed Wing Type, Hybrid Type), Application (Navigation, Collision Detection & Avoidance, Data Acquisition, Motion Detection, Power Monitoring), End Users and Region – Global Forecast to 2029
Smart Agriculture Market Size, Share, Statistics and Industry Growth Analysis Report by Offering (Hardware, Software, Services), Agriculture Type, Farm Size (Large, Medium, Small), Application (Precision Farming, Livestock Monitoring) and Region (America, Europe, Asia Pacific, Row) – Global Forecast to 2028
About MarketsandMarkets™
MarketsandMarkets™ has been recognized as one of America’s best management consulting firms by Forbes, as per their recent report.
MarketsandMarkets™ is a blue ocean alternative in growth consulting and program management, leveraging a man-machine offering to drive supernormal growth for progressive organizations in the B2B space. We have the widest lens on emerging technologies, making us proficient in co-creating supernormal growth for clients.
Earlier this year, we made a formal transformation into one of America’s best management consulting firms as per a survey conducted by Forbes.
The B2B economy is witnessing the emergence of $25 trillion of new revenue streams that are substituting existing revenue streams in this decade alone. We work with clients on growth programs, helping them monetize this $25 trillion opportunity through our service lines – TAM Expansion, Go-to-Market (GTM) Strategy to Execution, Market Share Gain, Account Enablement, and Thought Leadership Marketing.
Built on the ‘GIVE Growth’ principle, we work with several Forbes Global 2000 B2B companies – helping them stay relevant in a disruptive ecosystem. Our insights and strategies are molded by our industry experts, cutting-edge AI-powered Market Intelligence Cloud, and years of research. The KnowledgeStore™ (our Market Intelligence Cloud) integrates our research, facilitates an analysis of interconnections through a set of applications, helping clients look at the entire ecosystem and understand the revenue shifts happening in their industry.
To find out more, visit www.MarketsandMarkets™.com or follow us on Twitter, LinkedIn and Facebook.
Contact: Mr. Rohan SalgarkarMarketsandMarkets™ INC. 1615 South Congress Ave.Suite 103, Delray Beach, FL 33445USA: +1-888-600-6441Email: [email protected] Our Web Site: https://www.marketsandmarkets.com/Research Insight: https://www.marketsandmarkets.com/ResearchInsight/anti-drone-market.aspContent Source: https://www.marketsandmarkets.com/PressReleases/anti-drone.asp
Logo: https://mma.prnewswire.com/media/1951202/4609423/MarketsandMarkets.jpg
View original content:https://www.prnewswire.co.uk/news-releases/anti-drone-market-worth-7-05-billion-by-2029—exclusive-report-by-marketsandmarkets-302260893.html
Artificial Intelligence
CluePoints Launches Medical & Safety Review (MSR) Software to Revolutionize Clinical Data Review
CluePoints furthers its commitment to delivering innovative solutions that enhance clinical trial efficiency with this latest addition to its enterprise software platform.
KING OF PRUSSIA, Pa., Sept. 27, 2024 /PRNewswire/ — CluePoints continues to transform clinical trial review and leverage its industry-leading software to enhance the interrogation, analysis and presentation of data with the launch of its latest application, Medical & Safety Review (MSR).
The tool simplifies and streamlines the medical analysis of study data through user-friendly dashboards, data manipulation and cleaning, query management and full transparency over the data history. This not only improves efficiency and communication in medical oversight, but also elevates patient safety, differentiating MSR as a smarter and unique solution.
Designed by, and for Medical and Safety Reviewers, MSR converts the manual analysis of patient outcomes, which can be prone to inefficiency and error, into an accurate, efficient process. MSR tackles time-consuming study preparation for specific visualizations by featuring a comprehensive standard visualization library as well as the ability to copy and reuse dashboards across different studies, enabling the identification of outlying values, change tracking, and improved communication for smarter clinical trials.
Other benefits of MSR include:
Enhanced medical review efficiency and reduced human errors via automated checksReduced time spent by clinical and data management teams in reviewing dataImproved collaboration with integrated review workflows across departmentsEnsured record quality and accountability with comprehensive change trackingDriving faster decision making with the proactive detection of trends and safety issuesEnsuring regulatory compliance with rule-based detection and user assignmentsAndy Cooper, Chief Executive Officer at CluePoints, commented, “We are thrilled to announce the launch of Medical & Safety Review to our growing product offerings. MSR is the latest application addition to the CluePoints platform, which includes products such as Risk-Based Quality Management (RBQM) and our Site Profile & Oversight Tool (SPOT). Together, they provide a comprehensive approach to clinical trial optimization, enhancing data integrity, ensuring regulatory compliance, and accelerating drug development. The creation of MSR ensures a more streamlined review process while prioritizing patient safety at every step and empowers medical teams to swiftly identify outliers, track data changes, and improve communication.”
To learn more about CluePoints’ award-winning solutions, please visit www.cluepoints.com
About CluePoints
CluePoints is the premier Risk-Based Quality Management (RBQM) and Data Quality Oversight Software provider. We are leveraging the potential of Artificial Intelligence using Advanced Statistics and Machine Learning to determine the quality, accuracy, and integrity of clinical trial data both during and after study conduct. Aligned with guidance from the FDA, EMA, and ICH E6 (R2), CluePoints is deployed to support central and on-site monitoring, medical review, quality risk management and to drive a holistic Risk-Based strategy in all trials. Coupled with thought leadership and consulting expertise to aid pre-study risk assessment, identification of risk controls and solution implementation, you now have everything you need to adhere with global regulatory guidance. The result is positive clinical development outcomes, increased operational efficiency, lower costs and reduced regulatory submission risk as part of the industry paradigm shift to RBQM.
View original content:https://www.prnewswire.co.uk/news-releases/cluepoints-launches-medical–safety-review-msr-software-to-revolutionize-clinical-data-review-302260936.html
-
Artificial Intelligence6 days agoEC-Council Unleashes AI-Powered Ethical Hackers on Cybercrime
-
Artificial Intelligence5 days agoIBM and NASA Release Open-Source AI Model on Hugging Face for Weather and Climate Applications
-
Artificial Intelligence5 days agoHappiest Minds’ MD & CFO, Venkatraman Narayanan, recognized as the Leading CFO of the Year at the CII CFO Excellence Awards 2023-24
-
Artificial Intelligence6 days agoHospital in Greenland chooses Sectra’s radiology solution–enhanced cross-country collaboration for improved patient care
-
Artificial Intelligence5 days agoSSCL partners with PolyAI to empower next-generation customer experience
-
Uncategorized1 day agoMC Digital Realty wins Frost & Sullivan’s 2024 Japan Data Center Services Company of the Year Award
-
Artificial Intelligence1 day ago
CluePoints Launches Medical & Safety Review (MSR) Software to Revolutionize Clinical Data Review
-
Artificial Intelligence5 days agoBITBOT1000 Revolutionizes the Digital Market Landscape with AI-Driven Solutions
