5G Technology

𝐍𝐨𝐫𝐭𝐡 𝐀𝐦𝐞𝐫𝐢𝐜𝐚 𝐄𝐥𝐞𝐜𝐭𝐫𝐢𝐜 𝐂𝐚𝐫 𝐌𝐚𝐫𝐤𝐞𝐭 𝐭𝐨 𝐛𝐞 𝐖𝐨𝐫𝐭𝐡 $𝟒𝟏𝟗.𝟑𝟗 𝐁𝐢𝐥𝐥𝐢𝐨𝐧 𝐚𝐧𝐝 𝐑𝐞𝐚𝐜𝐡 𝟗.𝟒 𝐌𝐢𝐥𝐥𝐢𝐨𝐧 𝐮𝐧𝐢𝐭𝐬 𝐛𝐲 𝟐𝟎𝟑𝟏 𝐁𝐨𝐨𝐤 𝐘𝐨𝐮𝐫 𝐂𝐨𝐩𝐲 𝐍𝐨𝐰 : https://lnkd.in/d3-2AWbg The 𝐍𝐨𝐫𝐭𝐡 𝐀𝐦𝐞𝐫𝐢𝐜𝐚 𝐄𝐥𝐞𝐜𝐭𝐫𝐢𝐜 𝐂𝐚𝐫 𝐌𝐚𝐫𝐤𝐞𝐭 is expected to reach $419.39 billion by 2031, growing at a 22.9% CAGR between 2024 and 2031. By volume, this market is expected to reach 9.4 million units by 2031, with a CAGR of 20.3% between 2024 and 2031. The continuation of the tax credit in the United States through 2032, shifting consumer perceptions of EVs, and supportive government policies all contribute to the expansion of the North American electric car market. However, interoperability concerns across the various market competitors, as well as supply chain insecurities, limit the market's expansion. Additionally, a lack of suitable charging networks and slower public charging facilities are significant barriers to market expansion Furthermore, the emergence of new jobs and employment responsibilities, as well as advancements in battery technology and range, are likely to create major growth prospects for North American electric car market companies. 𝐍𝐨𝐫𝐭𝐡 𝐀𝐦𝐞𝐫𝐢𝐜𝐚 𝐄𝐥𝐞𝐜𝐭𝐫𝐢𝐜 𝐂𝐚𝐫 𝐌𝐚𝐫𝐤𝐞𝐭 𝐒𝐞𝐠𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 : * 𝐁𝐲 𝐏𝐫𝐨𝐩𝐮𝐥𝐬𝐢𝐨𝐧 𝐓𝐲𝐩𝐞 :  Battery Electric Vehicles, Plug-in Hybrid Electric Vehicle, Hybrid Electric Vehicles * 𝐁𝐲 𝐏𝐨𝐰𝐞𝐫 𝐎𝐮𝐭𝐩𝐮𝐭 𝐓𝐲𝐩𝐞 : Less than 100Kw, 100kW to 250kW, More than 250Kw * 𝐁𝐲 𝐄𝐧𝐝 𝐔𝐬𝐞𝐫 : Private Use, Commercial * 𝐊𝐞𝐲 𝐏𝐥𝐚𝐲𝐞𝐫𝐬 : Tesla, Inc. (U.S.), General Motors Company (U.S.), Ford Motor Company (U.S.), Rivian, LLC (U.S.), Bollinger Motors Inc. (U.S.), Alcraft Motor Company Ltd., (U.K.), Nissan Motor Co., Ltd. (Japan), NIO Inc. (China), AB Volvo (Sweden), and Groupe Renault (France). * 𝐑𝐞𝐪𝐮𝐞𝐬𝐭 𝐅𝐨𝐫 𝐂𝐮𝐬𝐭𝐨𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧 : https://lnkd.in/g-vXA3Bg #EVMarket #ElectricMobility #GreenVehicles #SustainableTransport #EVRevolution #ZeroEmissions #ElectricCars #ElectricVehicleCharging #EVInfrastructure #BatteryTechnology #FutureOfTransport #ElectricCarTech #CarbonFreeDriving #NextGenEV #WirelessEVCharging #ChargingInfrastructure #RenewableEnergy #GreenEnergy #ElectricVehicleGrowth #EVInnovation #CleanMobility #SustainableEV #ElectricCarAdoption #EVChargingSolutions #AutonomousEV #Electrification #EVTrends #ElectricCarFuture #EVBatteries #ZeroEmissionVehicles #ElectricVehicleSales #EVChargingNetworks #FutureOfEV #SmartEVCharging #EVMarketGrowth #GreenTransportation #EVChargingStations #NorthAmericanEV #ElectricVehicleTechnology #SustainableCars #ElectricDriving #ElectricFuture #CleanDriving #EVAdoption

𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐢𝐧 𝐅𝐨𝐨𝐝 𝐚𝐧𝐝 𝐁𝐞𝐯𝐞𝐫𝐚𝐠𝐞 𝐌𝐚𝐫𝐤𝐞𝐭 𝐢𝐬 𝐞𝐬𝐭𝐢𝐦𝐚𝐭𝐞𝐝 𝐭𝐨 𝐫𝐞𝐚𝐜𝐡 $𝟒𝟐.𝟔 𝐛𝐢𝐥𝐥𝐢𝐨𝐧 𝐛𝐲 𝟐𝟎𝟑𝟏 𝐁𝐨𝐨𝐤 𝐘𝐨𝐮𝐫 𝐂𝐨𝐩𝐲 𝐍𝐨𝐰 : https://lnkd.in/d4FSbyBi The 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐢𝐧 𝐅𝐨𝐨𝐝 𝐚𝐧𝐝 𝐁𝐞𝐯𝐞𝐫𝐚𝐠𝐞 𝐌𝐚𝐫𝐤𝐞𝐭 is estimated to reach $42.6 billion by 2031, growing at a 36.2% CAGR between 2024 and 2031.The growing adoption of customer-centric marketing techniques and the increasing incorporation of AI into supply chain operations are driving the expansion of AI in the food and beverage industry. Furthermore, the expanding usage of AI in product creation, as well as the growing demand for improved visibility and transparency in supply chain processes, are likely to create growth prospects for market stakeholders. Implementing a client-centric AI strategy across all consumer touchpoints is critical for providing seamless, personalised experiences and establishing a competitive advantage in the food and beverage industry, which is driving market growth. 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐢𝐧 𝐅𝐨𝐨𝐝 𝐚𝐧𝐝 𝐁𝐞𝐯𝐞𝐫𝐚𝐠𝐞 𝐌𝐚𝐫𝐤𝐞𝐭 𝐒𝐞𝐠𝐞𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 : * 𝐁𝐲 𝐎𝐟𝐟𝐞𝐫𝐢𝐧𝐠 :  Solution, Services * 𝐁𝐲 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 : Machine Learning, Natural Language Processing, Business Intelligence * 𝐁𝐲 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 : Marketing & Advertising, Product Development, Supply Chain Management, Budgeting and Forecasting, Consumer Engagement * 𝐁𝐲 𝐑𝐞𝐠𝐢𝐨𝐧𝐬 : North America (U.S. and Canada), Europe (Germany, U.K., France, Italy, Spain and Rest of Europe), Asia-Pacific (China, Japan, India, South Korea,Taiwan and Rest of Asia-Pacific), Latin America and the Middle East & Africa * 𝐊𝐞𝐲 𝐏𝐥𝐚𝐲𝐞𝐫𝐬 : Prognolite (Switzerland), Tastry (U.S.), ThroughPut Inc. (U.S.), Ai Palette (Singapore), Oracle Corporation (U.S.), GEP (U.S), Elisa IndustrIQ (Finland), Coupa Software Inc. (U.S.), PIPA LLC (U.S.), Gastrograph.ai (Analytical Flavor Systems, Inc.) (U.S.) * 𝐑𝐞𝐪𝐮𝐞𝐬𝐭 𝐅𝐨𝐫 𝐂𝐮𝐬𝐭𝐨𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧 : https://lnkd.in/gZzkNWVd #ArtificialIntelligence #AIinFoodBeverage #AIFoodBeverageMarket #FoodAndBeverageMarket #FoodTech #SmartFood #FoodInnovation #BeverageIndustry #FoodSafety #AIApplications #FoodAnalytics #AutomatedCooking #DataDrivenFood #FoodQuality #ConsumerInsights #AgriTech #SustainableFood #FoodProcessing #DigitalTransformation #FoodTechRevolution

𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐚𝐥 𝐌𝐞𝐭𝐚𝐯𝐞𝐫𝐬𝐞 𝐌𝐚𝐫𝐤𝐞𝐭 𝐭𝐨 𝐛𝐞 𝐖𝐨𝐫𝐭𝐡 $𝟔𝟎𝟎.𝟔 𝐁𝐢𝐥𝐥𝐢𝐨𝐧 𝐛𝐲 𝟐𝟎𝟑𝟏 𝐁𝐨𝐨𝐤 𝐘𝐨𝐮𝐫 𝐂𝐨𝐩𝐲 𝐍𝐨𝐰 : https://lnkd.in/dxTQAskW The 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐚𝐥 𝐌𝐞𝐭𝐚𝐯𝐞𝐫𝐬𝐞 𝐌𝐚𝐫𝐤𝐞𝐭 is expected to reach $600.6 billion by 2031, with a CAGR of 20.5% between 2024 and 2031. The industrial metaverse market is expanding due to the growing number of enterprise applications, the increased emphasis on digital transformation in the manufacturing industry, and enhanced enterprise KPIs as a result of industrial metaverse implementation. However, cybersecurity and data theft issues, expensive CAPEX needs for industrial metaverse adoption, and a dearth of experienced staff limit the market's growth. Additionally, a lack of agility in business operations and difficulty integrating the industrial metaverse with existing technology are important barriers to market expansion. The requirement to lower OPEX while also facilitating collaborative and immersive product design and development among organisations is expected to create growth prospects for market stakeholders. 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐚𝐥 𝐌𝐞𝐭𝐚𝐯𝐞𝐫𝐬𝐞 𝐌𝐚𝐫𝐤𝐞𝐭 𝐒𝐞𝐠𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 : * 𝐁𝐲 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 : Digital Twin, Autonomous Robots, Cloud Computing, Blockchain, IoT * 𝐁𝐲 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 :  Prototyping, Testing, and Simulation, Predictive Maintenance, Training, Facility Optimization * 𝐁𝐲 𝐄𝐧𝐝-𝐮𝐬𝐞 :  Automotive, Industrial Goods & Manufacturing, Power & Utilities, Transportation * 𝐁𝐲 𝐑𝐞𝐠𝐢𝐨𝐧𝐬 : North America (U.S. and Canada), Europe (Germany, U.K., France, Italy, Spain and Rest of Europe), Asia-Pacific (China, Japan, India, South Korea,Taiwan and Rest of Asia-Pacific), Latin America and the Middle East & Africa   * 𝐊𝐞𝐲 𝐏𝐥𝐚𝐲𝐞𝐫𝐬 : ABB Ltd. (Switzerland), Siemens AG (Germany), IBM Corporation (U.S.), Robert Bosch GmbH (Germany), Oracle Corporation (U.S.), Microsoft Corporation (U.S.), Nvidia Corporation (U.S.), Cisco Systems, Inc. (U.S.), Dassault Systèmes SE (France), Altair Engineering Inc. (U.S.), PTC Inc. (U.S.), Intel Corporation (U.S.), Penguin Solutions (U.S.), SAP SE (Germany), and Arm Limited (U.K.). * 𝐑𝐞𝐪𝐮𝐞𝐬𝐭 𝐅𝐨𝐫 𝐂𝐮𝐬𝐭𝐨𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧 : https://lnkd.in/gMMqvd8a #IndustrialMetaverse #DigitalTwins #MetaverseTechnology #VirtualReality #AugmentedReality #SmartManufacturing #AutomationSolutions #CollaborationTools #Industry40 #DigitalTransformation #VirtualSimulation #CyberPhysicalSystems #RemoteWork #3DModeling #FutureOfWork #ImmersiveTechnology #ConnectedIndustries #AIinIndustry #IndustrialAutomation #DigitalInnovation

🌎A Complete Guide to 𝐋𝐎𝐂𝐀𝐓𝐈𝐎𝐍–𝐁𝐀𝐒𝐄𝐃 𝐒𝐄𝐑𝐕𝐈𝐂𝐄𝐒 ➤ {Get Glimpse Insights} 📌𝐂𝐥𝐢𝐜𝐤 𝐇𝐞𝐫𝐞 𝐭𝐨 𝐆𝐞𝐭 𝐏𝐃𝐅 » » https://lnkd.in/depdDKgm 📍𝐋𝐎𝐂𝐀𝐓𝐈𝐎𝐍–𝐁𝐀𝐒𝐄𝐃 𝐒𝐄𝐑𝐕𝐈𝐂𝐄𝐒 (LBS) utilize the geographical location of devices to provide real-time insights to users and help businesses build strategies based on the data acquired. In recent years, location-based services have gained significant prominence and have become an integral part of organizations. Mapping, navigation and tracking, proximity marketing or target marketing, real-time traffic updates, location-specific weather reports, roadside assistance, mobile workforce management, fraud prevention, and other commercial applications are key features offered by location-based service providers. These services are being widely adopted by businesses across different domains. ✅ Location-based service providers are focussing on integrating technologies like VRT into existing systems to improve agricultural parameter monitoring and mapping. Farmers are developing variable rate (VRT) application maps for fertiliser and other crop production activities. Furthermore, the integration of real-time meteorological and climatic data with location-based services enables farmers to make more educated decisions based on current conditions. 👉𝐃𝐑𝐈𝐕𝐄𝐑𝐒 : 📈 Increasing Use of Spatial Data and Analytics Across Industries Boosting the Demand for Location-based Services  🛒 Proliferation of Location-based Services in the Retail Sector Driving Market Growth 🌾 Surging Utilization in the Agriculture Sector Boosting the Demand for Location-based Services 👉𝐁𝐘 𝐓𝐄𝐂𝐇𝐍𝐎𝐋𝐎𝐆𝐘: 📡  Global Navigation Satellite System 📍  Global Positioning System 🔄  Near-Field Communication 👉𝐊𝐄𝐘 𝐏𝐋𝐀𝐘𝐄𝐑𝐒 : Global B.V. (Netherlands), Google LLC (U.S.) (a subsidiary of Alphabet Inc.), TomTom N.V. (Netherlands), Esri (U.S.), Hexagon AB (Sweden), Trimble Inc. (U.S.), Cisco Systems, Inc. (U.S.), QUALCOMM Incorporated (U.S.), Microsoft Corporation (U.S.), AT&T Inc. (U.S.), Zebra Technologies Corporation (U.S.), International Business Machines Corporation (U.S.), ALE International (France), Precisely (U.S.), Rohde & Schwarz GmbH & Co. KG (Germany), and Nextbillion.AI Pte. Ltd. (Singapore). #LocationBasedServices #LocationPoweredApps #LocationIntelligence #LocationBasedMessaging #LBSLocation #LocationBasedTechnology #LBSServices #LocationBasedSystems #GeoTargeting #MobileLocationServices #RealTimeLocation #GeolocationSolutions #MappingTechnology #ProximityMarketing #SpatialData #LocationAnalytics #MobileTracking #LocationAwareApps #SmartLocationServices #GeoAnalytics

🔒 A Complete Guide to 𝐂𝐎𝐍𝐓𝐀𝐈𝐍𝐄𝐑 𝐒𝐄𝐂𝐔𝐑𝐈𝐓𝐘 ➤ {Request PDF Insights} 📌 𝐂𝐥𝐢𝐜𝐤 𝐇𝐞𝐫𝐞 𝐅𝐨𝐫 𝐏𝐃𝐅 » » https://lnkd.in/d6FcmBM6 🛡️ 𝐂𝐎𝐍𝐓𝐀𝐈𝐍𝐄𝐑 𝐒𝐄𝐂𝐔𝐑𝐈𝐓𝐘 solutions for threat detection, vulnerability management, and policy enforcement have increasingly included AI and ML technology in recent years. By tracking system calls, network traffic, and file access patterns, AI and ML algorithms in container security are able to identify malicious activity and understand the behaviour patterns of containerised apps. Integration of AI facilitates the process of scanning container images for errors and vulnerabilities. Furthermore, by using patterns and past data to forecast possible vulnerabilities, machine learning models assist organisations in addressing vulnerabilities before they are taken advantage of.  🗝️ Additionally, ML technology is increasingly being used to modify security rules according to threat landscapes and behaviour patterns. This guarantees that security regulations are consistently in line with the most recent threats. Many businesses are offering AI-based container security solutions to identify, stop, and address security issues as a result of the increasing integration of AI and ML technology in these solutions. 📈  𝐃𝐑𝐈𝐕𝐄𝐑𝐒 : 📡     Growing Incorporation of AI and ML Technologies in Container Security Solutions 🌐      Increasing Adoption of Cloud-native Microservices Architectures 💻      Rising Vulnerabilities and Cyberattacks in Business Operations 🔍  𝐀𝐏𝐏𝐋𝐈𝐂𝐀𝐓𝐈𝐎𝐍𝐒: 💻      Configuration & Compliance 💻      Identity & Access Management 💻      Vulnerability Management 👉 𝐊𝐄𝐘 𝐏𝐋𝐀𝐘𝐄𝐑𝐒: Microsoft Corporation (U.S.), Google LLC (A Subsidiary of Alphabet Inc.) (U.S.), Cisco Systems, Inc. (U.S.), Check Point Software Technologies Ltd. (Israel), Amazon.com, Inc. (U.S.), International Business Machines Corporation (U.S.), Tenable, Inc. (U.S.), Zscaler, Inc. (U.S.), Palo Alto Networks, Inc. (U.S.), Broadcom Inc. (U.S.), Juniper Networks, Inc. (U.S.), Trend Micro Incorporated. (Japan), CrowdStrike Inc. (U.S.), Rapid7 LLC (U.S.), Qualys, Inc. (U.S.), McAfee, LLC (U.S.), Fidelis Security, LLC (U.S.), Sophos Ltd. (U.K.), Anchore, Inc. (U.S.), Docker, Inc. (U.S.), and Aqua Security Software Ltd. (Israel). #ContainerSecurity #ContainerMonitoring #ContainerScanning #RuntimeProtection #Orchestration #VulnerabilityManagement #Cybersecurity #CloudSecurity #ContainerThreatDetection #SecureContainers #CloudNativeSecurity #SecurityCompliance #SecurityAutomation #MicroservicesSecurity #EndpointProtection #DevOpsSecurity #ContainerEncryption #SecurityBestPractices #SecurityOperations #DataProtection #ContainerizedApplications #ComplianceManagement #ITSecurity #SecurityAnalytics #InfrastructureSecurity #ContainerLifecycleManagement

📍 A Complete Guide to 𝐆𝐄𝐎𝐅𝐄𝐍𝐂𝐈𝐍𝐆 ➤ { Get Glimpse Insights} 📌 𝐂𝐥𝐢𝐜𝐤 𝐇𝐞𝐫𝐞 𝐅𝐨𝐫 𝐏𝐃𝐅  » »  https://lnkd.in/dJAQ-94u 🌐 𝐆𝐞𝐨𝐟𝐞𝐧𝐜𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 is revolutionising the retail business by allowing for more personalised and efficient consumer interactions. This location-based technology creates virtual boundaries that initiate actions when a customer enters or quits a predefined geographic area, such as a store or shopping district. Retailers use geofencing to provide targeted incentives and personalised notifications to customers' mobile devices, considerably improving their shopping experience. ✅ Furthermore, geofencing improves retail operations by offering vital insights about client behaviour and mobility patterns. Using this data, merchants may modify inventory levels, optimise shop layouts, and tailor markup techniques in real time. Geofericing also helps loyalty programs by providing location-based rewards, which increase consumer retention and engagement. The technology simplifies click-and-collect services by alerting clients when their orders are ready for pickup, increasing convenience and efficiency. Thus, geofencing systems in retail offer a variety of advantages and uses for improving customer experiences, streamlining operations, and driving sales. 👉 𝐃𝐑𝐈𝐕𝐄𝐑𝐒 : 🛰️     Increasing Demand For Location-Based Services 📊   Rising Utilization of Spatial Data and Analytical Tools 🛍️    Growing Demand for Geofencing Solutions in the Retail and Consumer Goods Sectors 👉 𝐓𝐘𝐏𝐄 : 📍   Fixed Geofencing 📍   Mobile Geofencing 👉 𝐓𝐄𝐂𝐇𝐍𝐎𝐋𝐎𝐆𝐘 : 📡   Active Geofencing 📡   Passive Geofencing 👉 𝐊𝐄𝐘 𝐏𝐋𝐀𝐘𝐄𝐑𝐒 : Bluedot Innovation (U.S.), Radar Labs, Inc. (U.S.), Infillion (U.S.), Mapsted Corp. (Canada), Geomoby Pty Ltd. (Australia), Esri (U.S.), LocationSmart (U.S.), Apple, Inc. (U.S.), GeoComply Solutions Inc. (Canada), Raveon Technologies (U.S.), PlotProjects B.V. (Netherlands), and IBM Corporation (U.S.). #GeofencingMarket #Geofencing #ActiveGeofencing #PassiveGeofencing #FixedGeofencing #MobileGeofencing #GeofencingServices #GeoFencingSolutions #LocationIntelligence #ProximityMarketing #Geolocation #SmartBoundaries #GeofencingTech #LocationBasedServices #GeoTracking #LocationSecurity #VirtualBoundaries #FleetManagementTech #GeoTargeting #SmartPerimeterSecurity #LocationBasedAnalytics #MobileGeofencingTech #GeospatialTech #GeoFenceAlerts #RealTimeLocationData #LocationTracking #GeoPrecision #ProximitySolutions #GeofencingInnovation #GeofenceTracking

✅ A Complete Guide For 𝐈𝐍𝐃𝐔𝐒𝐓𝐑𝐈𝐀𝐋 𝐑𝐎𝐁𝐎𝐓𝐒 ► (Get Glimpse Insights) 📌𝐂𝐥𝐢𝐜𝐤 𝐇𝐞𝐫𝐞 𝐅𝐨𝐫 𝐏𝐃𝐅  »  » https://lnkd.in/dcQypABR 🤖 In industrial settings, 𝑰𝑵𝑫𝑼𝑺𝑻𝑹𝑰𝑨𝑳 𝑹𝑶𝑩𝑶𝑻𝑺 are mechanical devices that are programmed to carry out production-related activities automatically. Numerous sectors and applications are seeing an increase in the utilisation of industrial robots. The most prevalent distinguishing features among their many versions are their reach distance, payload capacity, and the number of axes of travel (up to six) of their jointed arm. 🤖 Robots are used in manufacturing to do repetitive tasks, which streamlines the assembly process as a whole. Between 2010 and 2019, the number of industrial robots installed annually grew rapidly. 381 thousand industrial robots have been installed globally as a result of superior production, reliable speed and quality, increased worker safety, and more efficient use of floor space. 🎯𝑫𝑹𝑰𝑽𝑬𝑹𝑺 : 🏭  Increasing Adoption of Robots in the Manufacturing Sector 🏛️ Government Support to Encourage the Adoption of Industrial Robots 📈 High Labor Costs in North America and Europe 👉𝑭𝑼𝑵𝑪𝑻𝑰𝑶𝑵𝑺 : ➤ Material handling ➤ Welding & Soldering ➤ Assembling and Disassembling 👉 𝑻𝑶𝑷 𝑷𝑳𝑨𝒀𝑬𝑹𝑺: ABB Ltd (Sweden), Fanuc Corporation (Japan), Yaskawa Electric Corporation (Japan), KUKA AG (Germany), Mitsubishi Electric Corporation (Japan), Kawasaki Heavy Industries, Ltd. (Japan), Denso Corporation (Japan), Seiko Epson Corporation (Japan) #IndustrialRobotsMarket #SCARARobot #RoboticsTechnology #RoboticsAndAutomationEngineering #PalletizingRobot #ManufacturingRobots #AutomationRobotics #RoboticSystems #AutomationSolutions #IndustrialAutomation #RoboticEngineering #AdvancedRobotics #FactoryAutomation #RobotIntegration #AutomationTech #IndustrialAutomationSolutions #RoboticsInnovation #RoboticsApplications #ManufacturingAutomation #SmartRobots  

✅ A Complete Guide to 𝐀𝐑𝐓𝐈𝐅𝐈𝐂𝐈𝐀𝐋 𝐈𝐍𝐓𝐄𝐋𝐋𝐈𝐆𝐄𝐍𝐂𝐄 𝐈𝐍 𝐆𝐄𝐍𝐎𝐌𝐈𝐂𝐒 ►(PDF Guide) 📌 𝐂𝐥𝐢𝐜𝐤 𝐇𝐞𝐫𝐞 𝐅𝐨𝐫 𝐏𝐃𝐅 » »  https://lnkd.in/dFvv5gqJ ☑ 𝐀𝐑𝐓𝐈𝐅𝐈𝐂𝐈𝐀𝐋 𝐈𝐍𝐓𝐄𝐋𝐋𝐈𝐆𝐄𝐍𝐂𝐄 (𝐀𝐈) 𝐈𝐍 𝐆𝐄𝐍𝐎𝐌𝐈𝐂𝐒 refers to a set of software and services that are delivered on-premises, in the cloud, or via the web. AI or machine learning (ML) helps to improve understanding of the hidden patterns in complex and large genomics data sets from clinical and research projects. AI in genomics helps identify the genetic disorders and the primary kind of cancer, predict the specific diseases progress in a patient, identify disease-causing genomic variants, and improve the function of gene editing tools. Integrating AI in genomics helps pharmaceutical manufacturers analyze and identify genomic data to reduce the turnaround time for discovery. The rising burden of infectious and non-infectious diseases has increased the responsibility of pharmaceutical manufacturers for new drug development.    👉 𝑫𝑹𝑰𝑽𝑬𝑹𝑺 :    ➤ Rising Focus on Reducing Turnaround Time in Drug Discovery   ➤  Increasing Investment in Genomics   ➤  Growing Need for and Application of AI in Genomics     👉 𝑨𝑷𝑷𝑳𝑰𝑪𝑨𝑻𝑰𝑶𝑵 :    ➤ Drug Discovery & Development   ➤ Precision Medicine   ➤ Diagnostics    👉 𝑲𝑬𝒀 𝑷𝑳𝑨𝒀𝑬𝑹𝑺 :   Microsoft Corporation (U.S.), NVIDIA Corporation (U.S.), Deep Genomics Incorporated (Canada), Fabric Genomics, Inc. (U.S.), Data4Cure, Inc. (U.S.), Predictive Oncology Inc. (U.S.), Emedgene Technologies LTD (U.S.), Congenica Ltd. (U.K.), Tempus Labs, Inc. (U.S.), SOPHiA GENETICS SA (Switzerland), Illumina Inc. (U.S.), and BenevolentAI Limited. (U.K.)   #AIInGenomics #ArtificialIntelligenceInGenomics #AIForGenomeSequencing #AIInGenetics #GenomicsAI #ArtificialIntelligenceInGenetics #GenomeSequencingAI #AIDrivenGenomics #AIAndGenetics #GeneticsAI #AIInPharmacogenomics #AIInMedicalGenomics #AIEnhancedGenetics #AIForDrugDiscovery #ArtificialIntelligenceInPharmacogenomics #AIInMolecularGenetics #AIInGenomicResearch #AIInGenomicMedicine #AIAndGenomeSequencing #AIInGenomicDataAnalysis #AIForGeneticResearch #AIInGenomeAnalysis 

🤖 A Complete Guide to 𝘼𝙂𝙍𝙄𝘾𝙐𝙇𝙏𝙐𝙍𝙀 𝙍𝙊𝘽𝙊𝙏𝙎 » » (Request Insights) 📌𝑪𝒍𝒊𝒄𝒌 𝑯𝒆𝒓𝒆 𝒇𝒐𝒓 𝑷𝑫𝑭 » » https://lnkd.in/drFTjiP7 🌾𝘼𝙂𝙍𝙄𝘾𝙐𝙇𝙏𝙐𝙍𝙀 𝙍𝙊𝘽𝙊𝙏𝙎 are used for a wide range of agricultural applications, such as crop monitoring, picking fruits and vegetables, milking, irrigation, feeding livestock, spraying, and seeding. The agriculture sector is rapidly adopting advanced technologies such as AI, IoT, and robotics to automate various agricultural processes. With the growing population and food demand, it has become imperative for the agricultural industry to incorporate robots for various agricultural processes. ♻️  Government entities in developing nations have initiated awareness campaigns, policy reforms, and partnerships with the private sector to promote the uptake of robotic solutions and advance smart farming. Financial support is being allocated to facilitate the integration of cutting-edge technologies like Artificial Intelligence (AI), Machine Learning (ML), robotics, drones, data analytics, and blockchain in fostering digital agriculture nationwide. These governmental efforts are pivotal in accelerating the adoption of agricultural robots by farmers, thereby catalyzing market expansion in this sector. 👉𝑫𝑹𝑰𝑽𝑬𝑹𝑺 : 📡  Rising Adoption of Drones for Smart Farming 🧑🌾  Population Growth & Labor Shortages 🏛️   Increasing Government Initiatives Supporting the Agriculture Sector 👉𝐓𝐘𝐏𝐄 : 🤖   Milking Robots 🤖  Harvesting Robots 🤖  Feeding Robots 🤖  Drones 👉 𝐊𝐄𝐘 𝐏𝐋𝐀𝐘𝐄𝐑𝐒 : Yanmar Holdings Co., Ltd. (Japan), AgEagle Aerial Systems Inc. (U.S.), Lely International N.V. (Netherlands), BouMatic (U.S.), DJI (China), Deere & Company (U.S.), XAG Co., Ltd. (China), Clearpath Robotics Inc. (Canada) #AgricultureRobotsMarket #AgriculturalRobots #Agribot #RoboticFarming #Agrobot #AutonomousAgriculture #RoboticsAndAgriculture #SmartFarming #PrecisionAgriculture #AgTech #FarmAutomation #FutureOfFarming #DigitalTransformation #InnovationInAgriculture #AIinAgriculture #DronesInAgriculture #Robots #MilkingRobots #FeedingRobots #HarvestingRobots #Drones

𝐒𝐩𝐞𝐞𝐜𝐡 𝐚𝐧𝐝 𝐕𝐨𝐢𝐜𝐞 𝐑𝐞𝐜𝐨𝐠𝐧𝐢𝐭𝐢𝐨𝐧 𝐌𝐚𝐫𝐤𝐞𝐭 𝐭𝐨 𝐛𝐞 𝐖𝐨𝐫𝐭𝐡 $𝟓𝟔.𝟎𝟕 𝐁𝐢𝐥𝐥𝐢𝐨𝐧 𝐛𝐲 𝟐𝟎𝟑𝟎 𝐁𝐨𝐨𝐤 𝐘𝐨𝐮𝐫 𝐂𝐨𝐩𝐲 𝐍𝐨𝐰 : https://lnkd.in/dWwhby_q The 𝐒𝐩𝐞𝐞𝐜𝐡 𝐚𝐧𝐝 𝐕𝐨𝐢𝐜𝐞 𝐑𝐞𝐜𝐨𝐠𝐧𝐢𝐭𝐢𝐨𝐧 𝐌𝐚𝐫𝐤𝐞𝐭 is expected to grow at a 19.1% CAGR between 2023 and 2030, reaching $56.07 billion. The speech and voice recognition market is expanding due to the increased usage of voice biometrics, the integration of voice-enabled devices into automobile infotainment systems, and the proliferation of voice-enabled devices. The great potential of AI-enabled voice assistants in the healthcare industry, together with technological improvements and increased acceptance of connected devices, is likely to generate growth prospects for speech and voice recognition market participants. However, the market's growth is hampered by speech and voice recognition devices' inability to recognise regional accents and dialects, as well as a lack of awareness about speech and voice recognition technologies. Additionally, performance concerns with speech and voice recognition-enabled devices due to ambient noise provide a significant impediment to market expansion. Furthermore, prominent trends in the speech and voice recognition market include the growing demand for voice authentication in mobile banking applications, the increasing integration of AI and machine learning into speech recognition technology, the growing use of speech recognition technology for translating rare and local languages, and the rising demand for speech-based biometric systems. 𝐒𝐩𝐞𝐞𝐜𝐡 𝐚𝐧𝐝 𝐕𝐨𝐢𝐜𝐞 𝐑𝐞𝐜𝐨𝐠𝐧𝐢𝐭𝐢𝐨𝐧 𝐌𝐚𝐫𝐤𝐞𝐭 𝐒𝐞𝐠𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 : * 𝐁𝐲 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧 : Automatic Speech Recognition, Text-to-speech, Speaker Identification & Verification * 𝐁𝐲 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 :  Artificial Intelligence, Non-artificial Intelligence * 𝐁𝐲 𝐄𝐧𝐝 𝐔𝐬𝐞𝐫 : IT & Telecommunications, Media & Entertainment, BFSI, Healthcare * 𝐁𝐲 𝐑𝐞𝐠𝐢𝐨𝐧𝐬 : North America (U.S. and Canada), Europe (Germany, U.K., France, Italy, Spain, Netherlands, Switzerland and Rest of Europe), Asia-Pacific , Latin America and the Middle East & Africa   * 𝐊𝐞𝐲 𝐏𝐥𝐚𝐲𝐞𝐫𝐬 :   Microsoft Corporation (U.S.), Amazon Web Services, Inc. (U.S.), Google LLC (U.S.), IBM Corporation (U.S.), Verint Systems Inc. (U.S.), Baidu, Inc. (China), Apple Inc. (U.S.), Speechmatics (U.K.), Sensory, Inc. (U.S.), AssemblyAI, Inc. (U.S.), iFLYTEK Co., Ltd. (China), LumenVox (U.S.), and Dolbey Systems, Inc. (U.S.). #SpeechAndVoiceRecognitionMarket #VirtualAssistant #ASR #AutomaticSpeechRecognition #MarketGrowth #SpeechRecognitionGrowth #MachineLearning #NaturalLanguageProcessing #VoiceRecognition #GlobalMarketGrowth #LargestMarketShare #VoiceBasedAuthentication #VoiceRecognitionSoftware #SpeechTech #AI