Artificial Intelligence
From April 25 to 26 local time, the AI & Big Data Expo Global 2019 was held in Olympia, London. This is a two-day expo showcasing the next generation of technologies and strategies in AI and big data, attracting more than 4,000 relevant practitioners. Dr. Wei Cui, co-founder and chief scientist of Squirrel AI Learning, was invited to give a speech at the Expo and he also shared his insights into AI with senior executives from Darktrace, a UK cyber security company; SAP, the world’s third largest independent software provider; Reddit, one of the largest social platforms in the United States; and Just-Eat, a Danish company equivalent to “Meituan”.
The themes of this expo include: enterprise AI, AI and Internet of Things data analysis, big data business solutions and AI technology solutions.
Dr. Wei Cui from Squirrel AI Learning: How Does AI Provide Economical and Individualized Education for Every Family in China
Dr Wei Cui, chief scientist of Squirrel AI Learning, introduced the AI adaptive learning system independently developed by Squirrel AI Learning. This system can continuously monitor and evaluate students’ individual abilities, find their weaknesses in learning and allow students to progress at their own pace so as to improve their learning. The system provides optimized learning solutions and simultaneous counseling to maximize learning efficiency and improve students’ ability to acquire knowledge and skills.
For years, the lack of senior teachers and geographical problems have adversely affected the popularization of quality education in China. Squirrel AI hopes to train “super teachers” through AI and provide one-on-one tailored education for students.
In his speech, Dr. Wei Cui introduced the basic technologies used to build the system and carry out performance evaluation experiments. Squirrel AI Learning’s adaptive educational engine includes three layers of architecture: ontology layer, algorithm layer and interactive system. Content-focused, the ontology layer incorporates learning maps and knowledge maps. Squirrel AI Learning independently developed the technology to disassemble knowledge points at a super-nano level, making for more accurate determination of the knowledge points students are supposed to master. Take mathematics of junior high school as an example. Squirrel AI Learning can disassemble the 300 knowledge points into 30,000.
The algorithm layer includes content recommendation engine, students’ user portrait engine and target management engine. Based on user status evaluation engine and knowledge recommendation engine, Squirrel AI Learning will build a data model to detect the gaps of knowledge for each student accurately and efficiently and then recommend corresponding learning content according to these gaps.
The interactive system collects interactive data to learn more about students and improve the algorithm. Squirrel AI Learning cooperated with Stanford Research Institute to study the machine-student interactive system. Its self-developed MIBA student behavior data acquisition system won big award at the World Conference on AI.
In addition, the MCM system developed by Squirrel AI Learning can disassemble students’ model of thinking, capabilities and methods of learning and then provide training of these abilities and methods in a single subject according to students’ learning status.
By the beginning of this year, Squirrel AI Learning has set up nearly 2,000 learning centers in more than 300 cities across China with nearly 2 million registered student users. Last year, Squirrel AI donated 1 million free study accounts to underprivileged families to promote education fairness.
Marc Teerlink, SAP’s Global Vice President: How to Realize “Gold Rush” in the Era of AI
Marc Teerlink, SAP’s global vice president, talked about how enterprises adapt to the era of AI. The world is currently on the verge of a “gold rush” with AI. Teerlink’s speech is about how AI and machine learning bring wealth to enterprises as well as experience sharing by current industry leaders.
SAP estimates that by 2030, more than 60% of jobs will face great changes. About 51% of work will be automated but only 5% will be completely done by machine. Therefore, Teerlink prefers to call this era the era of “augmented intelligence” in which technology is used to enhance human’s ability to process information.
Teerlink said that partners using SAP machine learning software have translated algorithms into commercial profits. He cited one example: VALE, a Brazilian-based global mining company, used machine learning to optimize its procurement application process.
The current process is a purely manual one in which scattered information is distributed in multiple files and systems. As a result, 25-40% of the purchase requisitions are rejected every month due to errors, resulting in severe rework.
In the past few years, VALE has started to use SAP Leonardo open innovation framework based on design thinking and technology to define a re-conceived application process that provides an SAP Fiori application accessible from any device to help users complete the end-to-end process without logging into any back-end device systems.
Machine learning for image recognition is the core of this process. Image recognition algorithm is integrated into the application of SAP Leonardo machine learning so that maintenance technicians can recognize the serial number of the materials of any parts that need to be replaced by taking pictures of them. Even without Internet access, technicians can still take pictures of the parts and complete the purchase application process later.
Once the parts are identified, the application will connect to the back-end system and find the correct procurement process for the material, be it contract process or purchase requisition, and then the application will automatically complete the procurement requisition process and check whether the parts have been requested on the previous shift or exist in any nearby deposits.
This procedure streamlines the procurement application process, reduces the delivery cycle of procurement, reduces spare parts inventory, thus reducing working capital and improving labor efficiency.
Enterprises like VALE that have long engaged in AI have already tasted the sweetness. SAP observes that these enterprises generally have the following characteristics: the strategic center of C-level executives, increased competitive differentiation, new income and profitability, and strategies covering the whole field. They all view data as important assets.
Dave Palmer, Technical Director of Darktrace: How Does AI Affect Cybercrime
Darktrace is a British start-up in network security that mainly provides “corporate immune system” that can be deployed in company network to monitor network anomalies. Once suspicious behavior occurs within the network, Darktrace will remind IT managers and, when necessary, automatically trigger protection behavior to mitigate network attacks. Unlike traditional methods that rely on rules or signatures, this automated technology enables security teams to focus on high-value tasks and even to counter fast-moving automated attackers.
Dave Palmer believes that AI will greatly increase the impact of cyber crime on enterprises. Due to the open source environment of computer science and the introduction of various API & SDK by large companies, even people without relevant backgrounds can easily acquire and use AI technology such as face recognition and voice recognition, which greatly lowers the threshold of cyber crime.
Unlike planting a virus or malicious software in the system in the past, network attacks now take many forms and are more and more extensive. For example, stealing your data for blackmail, monitoring important meetings of competing companies, or modifying your data from the bottom to influence the decision-making of your superiors, etc.
Therefore, many companies are deeply engaged in network security protection. For example, Microsoft launched its cloud-based risk security detection tool in 2017 with which developers find bugs and other security vulnerabilities in software to be released or used. The tool is designed to fix bugs before software vulnerabilities occur.
Anand Mariappan, Senior Director of Reddit: Development History of Reddit Machine Learning
Anand Mariappan, senior director of Reddit in charge of search and machine learning engineering, reviewed the history, current projects and future direction of Reddit’s machine learning that covers data platforms, feed rankings, recommendations, user and channel similarities.
Reddit, the US version of “Tianya” and “Baidu Tieba”. According to the data released by Alexa, Reddit is the fifth largest website in the United States, ranking 14th in the world and even surpassing Facebook in traffic. Reddit currently has 330 million active users, nearly 140,000 active communities, 12 million posts and nearly 100 million comments per month. In February this year, Tencent invested $150 million into Reddit. Reddit is currently valued at $3 billion.
Reddit has been building and improving data pipelines over the past few years. Since 2014, it has been using Amazon S3 and Hive to gradually build a multilevel database architecture based on MIDAS, and now the architecture is based on Google’s BigQuery.
Reddit has 140,000 sub-Reddit, which can also be understood as channels. Recommending relevant channels to users is an important way to increase user participation, which was done through manual selection. Now deep learning takes the place of manual selection. Through deep learning, Reddie can directly gather all comments in a channel into a file and then use the end-to-end doc2vec model to train and get semantic information to assist in the matching.
Reddit also optimized the recommendation on the home page. It uses large-scale logistic regression algorithm to make personalized content recommendation based on parameters such as time, channel, user interest, and device.
Mariappan said Reddit is currently developing machine learning programs to optimize personalized models, and has achieved amazing results in the early development phase by using models on TensorFlow to improve the quality of content recommendation.
Ben Dias, Head of Royal Mail: From Zero to Data Science
Ben Dias, head of analysis and data science at Royal Mail, shared his experience of “from zero to data science” and summarized seven key points, hoping to help enterprises accelerate their progress in developing data science by providing practical skills, tools and technologies.
First, be prepared. Enterprises should first understand themselves and be fully prepared in areas of data processing, standard business intelligence analysis, underlying architecture and technology stack.
Second, lay more emphasis on retention of talents than recruitment. Don’t rush to look for talents outside the enterprise. Instead, enterprises should train and retain talents and nurture suitable office culture.
Third, don’t hire “super chicken”. Super chicken refers to highly talented and motivated employees. Margaret Heffernan, an expert in business management consulting, pointed out in a TedTalk that a team of geniuses will not be more efficient, but rather has disastrous performance. Successful teams do not need superstars but collaborative staff working based on consensus.
Fourth: Don’t put all eggs in one basket. Enterprises should comprehensively consider short-term benefits, medium-term considerations and long-term planning.
Fifth, adopt the model of Lean Startup. Lean Startup is a method of developing business and products, aiming to shorten product development cycle and quickly find out whether the proposed business model is feasible. This model is achieved through a combination of business hypothesis-driven experiments, iterative product release and proven learning.
Sixth & Seventh: You must change everyone and everything & apply scientific methods to everything.
Gilles Comau, Head of Just Eat AI: Challenges and Opportunities of Building Personalized Strategies.
Gilles Comau is Just Eat’s director of machine learning and AI. Just Eat, founded in 2001, is a take-out ordering website in Denmark. It provides applications to enable consumers to easily place orders and make payment. Now it has operations in many countries around the world. In 2014, Just Eat was successfully listed on the London Stock Exchange with a market value of $2.4 billion.
Comau’s speech is centered on the challenges and opportunities of building personalized strategies. Delivery services involves millions of similar but greatly different products. Delivery areas also have geographical limitations, which needs to be optimized through algorithms.
Just Eat’s big data analysis helps predict what kind of food users will order at a particular time. For example, big data generated by Just Eat enables analysts to predict which regions are most likely to order healthy food and which regions prefer food collection to delivery.
Results of big data analysis of users’ eating patterns and trends will be provided to restaurants to help them meet various needs and increase menu items. This can help them grow their business.
Just Eat has more than 60 million accounts and at least 7.5 million people have multiple accounts. Therefore, Just Eat needs to use data science to delete repeated accounts and link users with similar attributes.
The match between restaurants and users helps users find delicious food more conveniently. The restaurant’s attributes are mainly based on the food it mainly recommends, including the flavor, attributes, taste, and ingredients of food. User profile is determined by ordering habits, preferences, social attributes, trading habits, contact information, etc.
These attributes will help Just Eat build a two-dimensional and visual vector search space. When searching delicious food through key words, users can get what they want just by judging which vector their key words are the closest to.
Machine learning is also used to deliver orders to customers fast through prediction of driver paths and improvement of communication efficiency so as to deliver food fast, maintain correct delivery order and prevent lost delivery orders.
SOURCE Squirrel AI Learning
Artificial Intelligence
Vantiva Powers New Vodafone Fiber Router and Wi-Fi 6 Mesh Extender to Enhance In-Home Broadband Experience
CPE leverages Vantiva’s Wi-Fi antenna expertise to connect more than 100 smart devices at ultra-high speeds
PARIS, May 20, 2024 /PRNewswire/ — Vantiva (Euronext Paris: VANTI), a global technology leader enabling Network Service Providers (NSPs) to connect consumers around the world, today announced that it has strengthened its longstanding partnership with Vodafone UK, the largest full fiber provider in the UK, with the introduction of the Wi-Fi 6 enabled Power Hub router and Super Wi-Fi 6 Booster. The customer premises equipment (CPE) leverages Vantiva’s Wi-Fi antenna expertise to offer intelligent Wi-Fi auto-optimization that automatically provides the fastest connectivity across all devices. The router and booster are designed to cost-effectively deliver a superior whole-home Wi-Fi experience to end-users with the ability to seamlessly connect more than 100 smart devices at speeds up to 910 Mbps.
“The introduction of the Power Hub router and Super Wi-Fi 6 Booster are the latest examples Vodafone UK’s continued leadership in bringing advanced connectivity solutions to its customers,” said Mercedes Pastor, Senior Vice-President of the Customer Unit, Eurasia. “This is a step forward in our long-time partnership delivering cutting edge solutions in this market. The outstanding Wi-Fi performance leverages all of Vantiva’s expertise from antenna design to unique testing environments to offer the best in-home wireless experience.”
Vodafone UK’s new Power Hub router is built for fiber-to-the-home network configuration and is easily adaptable for current and future in-home connectivity demands. The Super Wi-Fi 6 Booster works seamlessly with the Power Hub to give reliable coverage throughout the home and is compatible with both existing and previous versions of Vodafone gateways. The extender’s mesh Wi-Fi capability adapts the connectivity to give customers comprehensive Wi-Fi coverage.
As part of Vantiva’s commitment to developing eco-friendly products with low-carbon intensity, the device housing for these products was made from 95% recycled plastic. The packaging was designed using 85% recycled paper, printed with soy ink and uses no plastics.
Vantiva and Vodafone UK have been collaboratively bringing innovative solutions to market in multiple product platforms since 2018 and in fiber since 2022, when the two organizations introduced the first Wi-Fi 6E gateway in the UK, bringing high speed connectivity to homes across the country.
The Vodafone Power Hub Wi-Fi 6 router and Super Wi-Fi 6 Booster are the latest strategic milestones in Vantiva’s ongoing commitment to providing open and innovative technologies for NSPs and Pay TV operators. Vantiva’s goal is to bring seamless connectivity and premium entertainment experiences to consumers by creating best-in-class CPE and partnering with the most innovative companies in the connected home ecosystem.
Contact: Vantiva Press RelationsThatcher+Co. for [email protected]
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Artificial Intelligence
Life Science Equipment Market to be Worth $97.96 Billion by 2031 – Exclusive Report by Meticulous Research®
REDDING, Calif., May 20, 2024 /PRNewswire/ — According to a new market research report titled, ‘Life Science Equipment Market Size, Share, Forecast, & Trends Analysis By Technology (Spectroscopy, Microscopy, Chromatography (HPLC, GC, TLC), PCR, Immunoassay, Sequencing, Flow Cytometry, Microarray, Centrifuge) End User – Global Forecast to 2031,’ published by Meticulous Research®, the life science equipment market is projected to reach $97.96 billion by 2031, at a CAGR of 6.3% from 2024 to 2031.
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Life sciences encompass a wide range of fields, including biology, biochemistry, genetics, pharmacology, and many more. Laboratory equipment plays a critical role in conducting experiments, collecting data, and analyzing samples to further scientific research and advance our understanding of living organisms and their underlying mechanisms. Equipment is also necessary for quality checks and validation of manufactured drugs and biologics in the life sciences industry. The growth of the life sciences industry is driving the adoption of life sciences and laboratory equipment.
The growth of this market is attributed to several factors, including increasing pharmaceutical and biotech R&D expenditures, government initiatives supporting life sciences R&D, the increasing prevalence of chronic and infectious diseases, and growth in initiatives to control environmental pollution. Additionally, the growth in genomics and proteomics, the increasing awareness and growing adoption of personalized medicines, increasing automation and digitalization in the life sciences industry, and the increasing focus on food safety and quality are expected to provide significant opportunities for players operating in the market.
The report offers a competitive landscape based on an extensive assessment of the leading players’ product portfolios and geographic presence and the key growth strategies adopted by them in the last three to four years. In recent years, the life science equipment market witnessed several product launches, product enhancements, product approvals, partnerships, agreements, & collaborations, acquisitions, and expansions.
The key players operating in the life science equipment market are Agilent Technologies, Inc. (U.S.), Becton, Dickinson, and Company (U.S.), Bio-Rad Laboratories, Inc. (U.S.), Danaher Corporation (U.S.), F. Hoffmann LA-Roche AG (Switzerland), PerkinElmer, Inc. (U.S.), Thermo Fisher Scientific, Inc. (U.S.), Waters Corporation (U.S.), Bruker Corporation (U.S.), Shimadzu Corporation (Japan), Siemens Healthineers AG (Germany), Eppendorf SE (Germany), Sartorius AG (Germany), and QIAGEN N.V. (Netherlands).
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Growing Awareness and Adoption of Personalized Medicine to Offer Opportunities for Players Operating in the Life Science Equipment Market
Personalized medicine, also known as precision medicine, is an emerging approach to patient care. Physicians choose a treatment method based on the patient’s genetic makeup (also considering genetic changes resulting from a disease) and lifestyle habits. It is an emerging disease treatment and prevention approach that considers individual variability in genes, environment, and lifestyle.
Precision medicine can remove the need for guesswork, variable diagnostic ability, and treatment strategies based on generalized demographics. Moreover, precision medicine enables a more holistic view of an individual patient. Precision medicine for clinical workflows helps facilitate more predictive and preventive care by bringing targeted therapies. There has been an increase in the adoption of personalized medicine in recent years. For instance, according to the Personalized Medicine Coalition, the share of personalized medicine has increased steadily in the total drugs approved in the U.S. by the FDA, from 28% in 2015 to 35% in 2021. The increasing awareness and adoption of personalized medicine are driving the demand for specialized laboratory equipment and technologies that enable precise and accurate genetic and molecular analysis.
Personalized medicine heavily relies on genetic testing, sequencing, analysis of genetic, genomic, and proteomic information, and biomarker identification and validation. This necessitates the use of advanced laboratory equipment, such as DNA sequencers, gene sequencers, PCR machines, real-time PCR systems, next-generation sequencers, mass spectrometers, immunoassay analyzers, and chromatography systems, to accurately derive the necessary results.
The life science equipment market is segmented by Technology [Spectroscopy, Microscopy, Chromatography, Lab Automation, Immunoassay Analyzers, PCR, Sequencing, Flow Cytometry, Incubators, Microarray, Centrifuges, Electrophoresis, and Other Equipment], End User [Pharmaceutical and Biotechnology Industry, Academic & Research Institutes, Hospitals and Diagnostic Laboratories, Analytical Testing Laboratories, Agriculture and Food Industry, Forensic Laboratories, and Other End Users), and Geography. The study also evaluates industry competitors and analyzes the regional and country-level markets. (Note: Apart from primary segmentation, Spectroscopy, Microscopy, Chromatography, Lab Automation, Immunoassay Analyzer, PCR, Sequencing, Flow Cytometry, Microarray, Centrifuges, and Electrophoresis have further level segmentation).
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Among the technologies included in the report, in 2024, the spectroscopy segment is expected to account for the largest share of 22% of the life science equipment market. The spectroscopy segment is further sub-segmented into molecular spectroscopy, atomic spectroscopy, mass spectrometry, and software. In 2024, the molecular spectroscopy segment is expected to account for the largest share of the spectroscopy market. Molecular spectroscopy is used to determine the composition of a material in an unknown chemical composition. It is used in various applications across food & beverage, environmental screening, pharmaceutical, and biotech industries. Therefore, the wide range of applications of molecular spectroscopy coupled with the growth of the life sciences industry, especially the pharmaceutical and biotech sectors, contribute to the large market share of this segment.
Among the end users included in the report, in 2024, the pharmaceutical and biotechnology industry segment is expected to account for the largest share of 32% of the life science equipment market. The largest share is contributed by several factors, including the increased demand for new drugs and therapies leading to extensive research and development activities, the need for technologically advanced equipment in the pharmaceutical and biotech industries, the rise in funding and investments in the pharmaceutical and biotech industry, and increased healthcare expenditure.
Among the geographies included in the report, in 2024, North America is expected to account for the largest share of 41% of the life science equipment market. North America’s major market share is attributed to the presence of key players, its well-established life science industry, and substantial spending on R&D activities by pharmaceutical and biotech companies. The U.S. is home to global top-ranking pharmaceutical companies. Companies like Johnson & Johnson, Pfizer, AbbVie Inc., Merck, and Bristol Myers Squibb are headquartered in the U.S. These companies have high R&D expenditure at increasing at a high rate each year. For example, Johnson & Johnson spent USD 14.7 billion on research and development in 2021, with a 21% increase over 2020.
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Scope of the Report:
Life Science Equipment Market Assessment—by Technology
SpectroscopyMolecular SpectroscopyUV/Vis SpectroscopyNuclear Magnetic Resonance (NMR)Near-Infrared (NIR) SpectroscopyInfrared (IR) SpectroscopyRaman SpectroscopyPolarimeters and RefractometersFluorescence & Luminescence SpectroscopyOther Molecular Spectroscopy TechnologiesNote: Other molecular spectroscopy technologies segment includes Raman spectroscopy, ellipsometry, and color measurement
Mass SpectrometryQuadrupole LC/MSTime of Flight LC/MS (Q-TOF & LC-TOF)Gas Chromatography-Mass Spectrometry (GC/MS)Fourier Transform Mass Spectrometry (FT/MS)Matrix-Assisted Laser Desorption/Ionization-Time of Flight Mass Spectroscopy (MALDI-TOF MS)Portable and In-Field Mass SpectroscopyTandem Mass Spectroscopy (MS/MS)Ion Trap Mass Spectroscopy (LC/MS)Atomic SpectroscopyAtomic Absorbance Spectroscopy (AAS)X-Ray Fluorescence (XRF) SpectroscopyX-Ray Diffraction (XRD) SpectroscopyOther Atomic Spectroscopy TechnologiesNote: Other atomic spectroscopy technologies segment includes inductively coupled plasma (ICP) spectroscopy, glow discharge spectroscopy, and arc/spark optical emission spectroscopy
Spectroscopy SoftwareMicroscopyElectron MicroscopyOptical MicroscopyScanning Probe MicroscopyOther MicroscopyMicroscopy SoftwareChromatographyHigh-Performance Liquid Chromatography (HPLC)Gas Chromatography (GC)Low Pressure Liquid Chromatography (LPLC)Flash ChromatographyThin Layer Chromatography (TLC)Ion ChromatographySupercritical Fluid Chromatography (SFC)Chromatography SoftwareLab AutomationAutomated WorkstationsRobotic SystemsAutomated Storage and Retrieval Systems (ASRS)Lab Automation SoftwareImmunoassay AnalyzersChemiluminescence ImmunoassayFluorescence ImmunoassayRadioimmunoassay (RIA)Colorimetric ImmunoassayOther Immunoassay AnalyzersImmunoassay SoftwarePCRRT-PCRConventional PCRDigital PCRPCR SoftwareSequencingFlow CytometryCell-Based Flow CytometersBead-Based Flow CytometersFlow Cytometry SoftwareIncubatorsMicroarrayDNA MicroarraysProtein MicroarrayTissue ArrayOther MicroarraysMicroarray SoftwareNote: Other microarrays segment includes glycan microarray, carbohydrate microarray, and chemical compounds microarrays
CentrifugesCentrifuges, by TypeDevicesMultipurpose CentrifugesMicrocentrifugesMini centrifugesUltracentrifugesOther CentrifugesCentrifuge AccessoriesCentrifuges, by ModelBenchtop CentrifugesFloor-standing CentrifugesCentrifuges, by ApplicationResearch ApplicationsGenomicsMicrobiologyCellomics ProteomicsClinical ApplicationsDiagnosticsBlood Processing and ScreeningOther ApplicationsElectrophoresisGel ElectrophoresisCapillary ElectrophoresisGel Documentation Systems and SoftwareOther EquipmentNote: Other equipment segment includes autoclaves, stirrers & shakers, mixers, baths, hot plates, ovens & furnaces, and balances
Life Science Equipment Market Assessment —by End User
Pharmaceutical and Biotechnology IndustryAcademic & Research InstitutesHospitals and Diagnostic LaboratoriesAnalytical Testing LaboratoriesAgriculture and Food IndustryForensic LaboratoriesOther End UsersNote: Other end users include blood banks and industries, such as cosmetics, chemicals, oil & gas, electronics & semiconductors, automotive, aerospace, ceramics, plastics, rubber, and paints & coatings
Life Science Equipment Market Assessment —by Geography
North AmericaU.S.CanadaEuropeGermanyU.K.FranceItalySpainSwitzerlandRest of Europe (RoE)Asia-Pacific (APAC)ChinaJapanIndiaSouth KoreaRest of APAC (RoAPAC)Latin AmericaBrazilMexicoRest of LATAM (RoLATAM)Middle East & AfricaSaudi ArabiaUAERest of Middle East & Africa (RoMEA)Unlock Opportunities: Buy Now- https://www.meticulousresearch.com/Checkout/26911858
Related Reports:
Genomics Market by Offering (Systems, Consumables, Software, Services), Technology (Sequencing, Microarray, PCR), Application (Diagnostics, Life Science Research), End User (Pharmaceutical Companies, Hospitals, Academic Institutes, CRO) – Global Forecast to 2030
NGS Automation Market by Product (Platform, Consumables), Sequencing Type (Whole Genome, Exome, Targeted), Application (Drug Discovery, Diagnostics), End User (Hospitals, Diagnostic Laboratories, Pharmaceutical, Academic) – Global Forecast to 2029
Liquid Handling Systems Market by Type (Automated, Electronic, Manual), Product (Pipette, Consumables, Burette, Software, Microplate), Application (Drug Discovery, Cancer & Genomics, Clinical), End User (Hospital, Diagnostic Lab) – Global Forecast to 2029
High-Performance Liquid Chromatography (HPLC) Market by Product (Instruments [Systems, Detectors], Consumables [Columns, Tubes], Accessories, Software), Application (Forensics, Diagnostics), End User (Research, Pharmaceuticals) – Global Forecast to 2030
Next Generation Sequencing Market by Type (Consumables, NGS Platform, Software), Sequencing Type (Whole Genome, Targeted), Technology (Sequencing by Synthesis, Sequencing by Ligation), Application (Clinical, Research), End User – Global Forecasts to 2030
Chromatography Reagents Market by Type (GC, LC, TLC), Product (Solvents, Buffers, Reagents), Separation (Adsorption, Partition, Affinity), Application (Pharma, Forensic, Environmental, Cosmeceuticals, Diagnostics, QC), End User – Global Forecast to 2030
Related Blogs:
Top 10 Companies in Life Science Equipment Market
Life Science Equipment: The Role of Various Technologies
About Meticulous Research®
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The name of our company defines our services, strengths, and values. Since the inception, we have only thrived to research, analyze, and present the critical market data with great attention to details. With the meticulous primary and secondary research techniques, we have built strong capabilities in data collection, interpretation, and analysis of data including qualitative and quantitative research with the finest team of analysts. We design our meticulously analyzed intelligent and value-driven syndicate market research reports, custom studies, quick turnaround research, and consulting solutions to address business challenges of sustainable growth.
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Artificial Intelligence
Public Safety and Security Market to Reach $ 514.1 Billion by 2031- Exclusive Report by Meticulous Research®
REDDING, Calif., May 20, 2024 /PRNewswire/ — According to a new market research report titled, ‘Public Safety and Security Market by Offering (Safety Devices, Safety Software, Safety Services), Technology (IoT, AI, Cloud Computing, ML), Application (Data Gathering, Mapping, and 3D Imaging), End Use (Warehouses & Depots, Workplaces, Shopping Malls & Retail Stores) and Geography, the global public safety and security market is expected to reach $514.1 billion by 2031 from an estimated $ 234.2 billion in 2024, at a CAGR of 11.9% during the forecast period (2024–2031).
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The growth of the public safety and security market is driven by the growing utilization of AI, ML, and analytics technologies in public safety and security applications, increasing awareness and initiatives for public safety and security, and government focus on managing the needs of the rising urban population. However, the significant initial investments required to implement public safety and security solutions restrain the growth of this market. The integration of cloud computing and big data analytics in public safety and security solutions and the rising incidence of terrorism and security breaches are expected to generate market growth opportunities. However, the complexities in implementing advanced public safety and security systems and the rising cases of data theft are major challenges for market stakeholders.
The global public safety and security market is segmented by offering, technology, application, end use, and geography. The study also evaluates industry competitors and analyses the country and regional-level markets.
Based on offering, the global public safety and security market is segmented into safety devices, safety software, and safety services. In 2024, the safety services segment is expected to account for the largest share of 50% of the public safety and security market. The large market share of this segment is attributed to the increasing demand for specialized safety services to address specific safety and security challenges. Safety services such as critical infrastructure security, emergency medical, firefighting, and disaster management services are critical in ensuring the safety and well-being of citizens and critical assets.
Based on technology, the global public safety and security market is segmented into the internet of things, artificial intelligence, cloud computing, machine learning, cybersecurity, and other technologies. In 2024, the internet of things segment is expected to account for the largest share of the global public safety and security market. The large share of the segment is attributed to the rising demand for real-time data insights and improved situational awareness.
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Based on application, the global public safety and security market is segmented into data gathering, mapping and 3D imaging, threat detection, security and incident management, monitoring, fire and explosion examination, network security, and other applications. In 2024, the security and incident management segment is expected to account for the largest share of 18.5% of the public safety and security market. The large market share of this segment is attributed to the need to respond effectively to emergencies, the increasing adoption of smart city technologies, and the integration of IoT devices.
Based on end use, the global public safety and security market is segmented into warehouses & depots, workplaces, shopping malls & retail stores, schools & universities, hospitals & healthcare, residential, transportation, and other end uses. In 2024, the transportation segment is expected to account for the largest share of the global public safety and security market. The segment is estimated to contribute a revenue of USD 31.8 billion by 2024 in public safety and security market. The large share of this segment is attributed to the growing concern of terrorist threats and passenger safety. Advances in contactless ticketing and facial recognition for identity verification are driving the adoption of modern transportation security solutions. Furthermore, the implementation of AI-based video analytics for crowd monitoring contributes to the growth of this segment.
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Based on geography, the public safety and security market is segmented into North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa. In 2024, North America is expected to account for the largest share of 40% of the public safety and security market. The North America public safety and security market is estimated to be worth USD 95.4 billion in 2024. The large share of this region is attributed to the rising adoption of digital technology and data due to the growing need for improving decision-making, promoting digital inclusivity and equity, creating a collaborative ecosystem, prioritizing citizen safety and health, establishing trust and transparency, and developing resilience and adaptability to manage change effectively.
However, the Europe public safety and security market is slated to register the highest CAGR of the global public safety and security market during the forecast period.
The key players operating in the global public safety and security market are Hexagon AB (Sweden), Fujitsu Ltd. (Japan), Robert Bosch GmbH (Germany), Atos SE (France), Cisco Systems, Inc. (U.S.) Saab AB (Sweden), Airbus SE (Netherlands), Siemens AG (Germany), Intel Corporation (U.S.), Fotokite AG (Switzerland), CityShob (Israel), 3xLOGIC (U.S.), L3Harris Technologies, Inc. (U.S.), OnSolve (U.S.) and Haystax (U.S.).
Brows In-depth Report- https://www.meticulousresearch.com/product/public-safety-and-security-market-5661
Scope of the Report
Public Safety and Security Market, by Offering
Safety ServicesManaged ServicesDisaster Management ServicesCritical Infrastructure Security ServicesEmergency Medical ServicesFirefighting ServicesOther Managed ServicesProfessional ServicesSafety DevicesSurveillance CamerasSensorsRadarLiDARGeodetic SensorsGeotechnical and environmental sensorsOther SensorsBiometric and Authentication DevicesSafety AlarmsIntruder Detection DevicesCritical Communication DevicesOther Safety DevicesSafety SoftwareGeographic Information SystemsAccess Control SoftwareBuilding Management SoftwareVehicle Recognition SoftwareBehavior Analytics softwareOther Safety SoftwarePublic Safety and Security Market, by Technology
Internet of ThingsCybersecurityCloud ComputingMachine LearningArtificial IntelligenceOther TechnologiesPublic Safety and Security Market, by Application
Security and Incident ManagementThreat DetectionFire and Explosion ExaminationNetwork SecurityMonitoringData GatheringMapping and 3D ImagingOther ApplicationsPublic Safety and Security Market, by End Use
TransportationRoadwaysRailwaysAirwaysWaterwaysWorkplacesShopping malls & Retail storesResidentialHospitals & HealthcareWarehouses & DepotsSchools & UniversitiesOther End UsesPublic Safety and Security Market, by Geography
North AmericaU.S.CanadaAsia-PacificChinaJapanIndiaSouth KoreaTaiwanRest of Asia-PacificEuropeGermanyU.K.FranceItalySpainRest of EuropeLatin AmericaMiddle East & AfricaUnlock Opportunities: Buy Now- https://www.meticulousresearch.com/Checkout/39886758
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About Meticulous Research®
Meticulous Research® was founded in 2010 and incorporated as Meticulous Market Research Pvt. Ltd. in 2013 as a private limited company under the Companies Act, 1956. Since its incorporation, the company has become the leading provider of premium market intelligence in North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa.
The name of our company defines our services, strengths, and values. Since the inception, we have only thrived to research, analyze, and present the critical market data with great attention to details. With the meticulous primary and secondary research techniques, we have built strong capabilities in data collection, interpretation, and analysis of data including qualitative and quantitative research with the finest team of analysts. We design our meticulously analyzed intelligent and value-driven syndicate market research reports, custom studies, quick turnaround research, and consulting solutions to address business challenges of sustainable growth.
Contact:Mr. Khushal BombeMeticulous Market Research Inc.1267 Willis St, Ste 200 Redding,California, 96001, U.S.USA: +1-646-781-8004Europe : +44-203-868-8738APAC: +91 744-7780008Email- [email protected] Visit Our Website: https://www.meticulousresearch.com/Connect with us on LinkedIn- https://www.linkedin.com/company/meticulous-researchContent Source: https://www.meticulousresearch.com/pressrelease/895/public-safety-and-security-market-2031
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