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Edge Computing Market worth $111.3 billion by 2028 – Exclusive Report by MarketsandMarkets™

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edge-computing-market-worth-$111.3-billion-by-2028-–-exclusive-report-by-marketsandmarkets™

CHICAGO, July 4, 2023 /PRNewswire/ — IoT and connected device adoption will increase, 5G networks will be integrated, edge AI and machine learning will grow, and a continuum from edge to cloud will be created. The trajectory of edge computing will also be influenced by applications that are industry-specific, improved security and privacy safeguards, and a cooperative edge computing ecosystem.
The Edge Computing Market size is expected to grow from USD 53.6 billion in 2023 to USD 111.3 billion by 2028, at a Compound Annual Growth Rate (CAGR) of 15.7% during the forecast period, according to a new report by MarketsandMarkets™. The advancements in hardware technology, open-source software and development tools, surge in adoption of cloud computing services, and the growth of IoT, requirement of a distributed computing paradigm that brings computation and data storage closer to the location where it is sought are a few factors driving the growth of the Edge Computing Market.
Browse in-depth TOC on “Edge Computing Market” 269 – Tables 58 – Figures285 – Pages
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Scope of the Report
Report Metrics
Details
Market size available for years
2017-2028
Base year considered
2022
Forecast period
2023-2028
Forecast units
Value (USD Million/USD Billion)
Segments covered
Components (Hardware, Software, and Services), Application (Smart Cities, Remote Monitoring), Organization Size, Vertical, and Regions
Regions covered
North America, Europe, Asia Pacific, Middle East and Africa, and Latin America
Companies covered
Cisco (US), AWS (US), Dell Technologies (US), Google (US), HPE (US), Huawei (China), IBM (US), Intel (US), Litmus Automation (US), Microsoft (US), Nokia (Finland), ADLINK (Taiwan), Axellio (US), Capgemini (France), ClearBlade (US), Digi International (US), Fastly (US), StackPath (US), Vapor IO (US), GE Digital (US), Moxa (Taiwan), Sierra Wireless (Canada), Juniper Networks (US), EdgeConnex (US), Belden (US), Saguna Networks (Israel), Edge Intelligence (US), Edgeworx (US), Sunlight.io (UK), Mutable (US), Hivecell (US), Section (US), EdgeIQ (US) 
By component, hardware segment to record the second highest CAGR during the forecast period
The hardware segment plays a crucial role in the Edge Computing Market. Edge computing involves processing data closer to its source rather than relying solely on centralized cloud infrastructure. This proximity to data sources requires specialized hardware components to enable efficient and reliable computing at the edge. Hardware in the Edge Computing Market includes devices such as edge servers, edge gateways, routers, switches, sensors, and other edge devices. These components are designed to handle the unique challenges of edge environments, including limited power and computing resources, harsh conditions, and low-latency requirements. Additionally, specialized hardware accelerators, such as graphics processing units (GPUs) and field-programmable gate arrays (FPGAs), are employed to enhance processing capabilities and enable tasks like real-time analytics, machine learning, and video processing at the edge. Therefore overall, the hardware segment is vital for enabling the infrastructure and computational capabilities necessary to support the growing demand for edge computing applications across various industries.
By Application, Remote monitoring segment to exhibit significant growth during the forecast period
Remote monitoring services for edge computing technology have been there for years. The new digital monitoring services utilize the latest technologies, such as cloud computing, data analytics, AI, and mobile communications. Organizations are finding edge computing to reduce latency and moving toward the decentralized edge and scattering IT infrastructure over multiple remote sites. In a time-sensitive business, where delivery of every data packet is critical to the business, edge computing can make a huge difference through localized efficient processing; for instance, in the oil and gas industry, seismic and sensor data are required to be frequently stored and physically shipped, which can result in costly delays. In such cases, edge computing helps balance processing loads and analyse telemetry data (irrespective of global distances) and improves business continuity by protecting against unplanned outages or data loss. Thus, with remote work on the rise and businesses utilizing digital platforms and services, edge computing functionalities will deliver faster, reliable, and cheaper data processing.
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By organization size, large enterprises follow SMEs and is showing significant growth in the market
Organizations with more than 1,000 employees are categorized under the large enterprises segment. The traction of edge computing solutions in large enterprises is higher than in SMEs. This is due to their ability to adapt and leverage the benefits of advanced technologies, including edge computing. Enterprises have their offices across regions. The mentioned factors enable enterprises to provide a solution through real-time employee data access. Large enterprises are adopting edge computing solutions increasingly to enhance the operational efficiency of their businesses across regions. The Edge Computing Market is undergoing significant technological transitions, such as enhancement in personalized marketing, big data, social media, real-time solutions, and the use of analytics and ML. All these advancements are favourably welcomed and highly adopted by large organizations. According to a Business Today report in June 2022, edge computing can help large enterprises reduce network costs, avoid bandwidth constraints, reduce transmission delays, limit service failures, and provide better control over the movement of sensitive data. Advanced applications such as AI, proactive monitoring, predictable insights, AR and VR applications, benefit from computing at the edge.
European region to record second highest CAGR in the Edge Computing Market in 2023
Europe has shown significant economic growth in the past few years, despite a dynamic regulatory environment. This is due to the rising expectations of companies in the region to improve their business efficiency by saving time and money. Hence, several major US-based edge computing companies have expanded in the region to build strong clientele and establish a base of operations overseas. Similarly, the regional technology providers are collaborating with the global edge computing providers to maintain a competitive edge, retain existing customers, and allure new ones. For instance, Siemens, a German industrial software provider, collaborated with SAS to create AI-embedded IoT analytics for theedge and cloud. This region’s IT and telecommunication sector is expected to grab the largest market share. The region is leading in 5G deployment. Telecom operators in this region, along with the US, are expected to spend USD 185 billion by 2026. The region is expected to have 214 million 5G connections by 2025.
Top Key Companies in Edge Computing Market:
The Major Players for Edge Computing Market includes some of the key vendors as well as startups offering contact center solutions across the globe, which include Cisco (US), AWS (US), Dell Technologies (US), Google (US), HPE (US), Huawei (China), IBM (US), Intel (US), Litmus Automation (US), Microsoft (US), Nokia (Finland), ADLINK (Taiwan), Axellio (US), Capgemini (France), ClearBlade (US), Digi International (US), Fastly (US), StackPath (US), Vapor IO (US), GE Digital (US), Moxa (Taiwan), Sierra Wireless (Canada), Juniper Networks (US), EdgeConnex (US), Belden (US), Saguna Networks (Israel), Edge Intelligence (US), Edgeworx (US), Sunlight.io (UK), Mutable (US), Hivecell (US), Section (US), EdgeIQ (US).
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Recent Developments
In May 2023, Dell Technologies unveiled its NativeEdge platform that has the capability to ease the deployment and management complexities of edge devices for remote-focused firms. NativeEdge replaces Dell’s Project Frontier, which was launched earlier. The new platform is designed as an edge computing platform that provides clients a choice around software, IoT, multi-cloud tools and operational technology to simplify, automate and manage edge infrastructure.In April 2023, Nokia launched 4 third-party applications for MX Industrial Edge, which would foster enterprises connect, collect, and analyze data from disparate sources, including video cameras, thereby unlocking its value from operational technology assets over a robust and secure on-premises edge.In April 2023, Dell Technologies collaborated with Ericsson which will enable open cloud networks that allow customers to choose their own infrastructure while ensuring telco-grade performance at the far edge. Including Dell PowerEdge servers to Ericsson’s Cloud RAN solution, including the PowerEdge XR8000 and XR5610, which are specifically designed for telecom, Open RAN and mobile edge-computing workloads, the company brings more choices and flexibility for Cloud RAN customers. Dell PowerEdge servers assist facilitating the Cloud RAN journey owing to their high performance, small form factors, resilience, and interconnectivity with the larger network(s).In February 2023, Cisco introduced its Cisco Edge Intelligence, a solution by Cisco that improves data governance and control, fetching intelligent insights from connected assets to improve the competitiveness of an organization. It is built on Cisco’s industry-leading multi-layered security.In February 2023, the acquisition of Athonet by HPE will integrate Athonet’s technology into its existing Communications Service Provider [CSP] and Aruba networking enterprise offerings to create a private networking portfolio which accelerates digital transformation from edge-to-cloud. Few benefits include enhanced private networks, accelerated private 5G deployments, new enterprise revenue streams for telecom companies with differentiated services leveraging 5G and Wi-Fi, management of operational complexity and cost efficiency with 5G orchestration and zero-touch automation to deliver newer workloads from edge-to-cloud.Edge Computing Advantages:
Edge computing moves computational power closer to the end user’s devices or the data source. By processing data locally instead of sending it to a centralised cloud or data centre, a considerable amount of latency is eliminated. Real-time processing and decision-making can take place at or close to the edge using edge computing, leading in quicker response times and better user experiences.Edge computing improves reliability and fault tolerance by dividing computing resources among numerous edge devices. Edge devices can carry on operating independently in the event of a network outage or disruption, ensuring that crucial operations are not hampered. Applications include industrial automation, healthcare, and transportation that depend on uninterrupted operations in particular need of this resilience.Edge computing works to reduce the load on network capacity by processing data close to the edge. Edge devices have the ability to filter, combine, and analyse data locally rather than sending enormous amounts of raw data to a central server or cloud for analysis. By decreasing the amount of data that must be transmitted across the network, bandwidth use is optimised, and expenses are reduced.By decreasing the attack surface and exposing less data, edge computing improves security and privacy capabilities. Processing locally reduces the likelihood of data breaches during transmission since sensitive data can be processed and examined without ever leaving the edge device. Additionally, by putting stringent territorial constraints on the storage of sensitive data, edge computing aids organisations in abiding by data sovereignty regulations.Edge computing is highly scalable and versatile since it supports distributed and modular design. The network can readily accommodate new edge devices, increasing computing capacity as required. For quickly developing industries like Internet of Things (IoT) installations, where a lot of devices create a lot of data that needs to be analysed in real-time, this scalability and flexibility is very helpful.Organisations can save money by using edge computing to lower their data processing, storage, and transmission expenses. Edge computing lowers the quantity of data that needs to be transferred to centralised servers or the cloud by processing data locally, which saves money on network traffic. Because only pertinent or aggregated data is delivered for subsequent analysis, it significantly reduces the need for extensive data storage infrastructure.Report Objectives
To describe and forecast the Edge Computing Market based on components (hardware, software, and services), application, organization size, verticals, and regions.To forecast the market size of five main regions: North America, Europe, Asia Pacific, Middle East and Africa, and Latin AmericaTo analyze subsegments with respect to individual growth trends, prospects, and contributions to the total marketTo provide detailed information about major factors (drivers, restraints, opportunities, and challenges) influencing the growth of the marketTo analyze opportunities in the market for stakeholders and provide details of the competitive landscape for major playersTo comprehensively analyze the core competencies* of key players in the marketTo track and analyze the competitive developments, such as product/solution launches and enhancements; business expansions; acquisitions; and partnerships, contracts, and collaborations, in the market.Browse Adjacent Markets: Cloud Computing Market Research Reports & Consulting
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Cloud Computing Market – Global Forecast to 2027
Cloud Compliance Market – Global Forecast to 2027
About MarketsandMarkets™ 
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.
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.
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Artificial Intelligence

Mobile Robots (AGV and AMR) Market to Reach $22 Billion by 2030, with an 18% Growth Rate for AGVs and 30% for AMRs – LogisticsIQ

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September 19, 2024

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NEW DELHI, Sept. 19, 2024 /PRNewswire/ — According to the latest market research by LogisticsIQ (5th Edition), the Mobile Robots (AGV and AMR) Market is expected to reach ~$22 billion by 2030 with a growth rate of ~18% and ~30% for AGV and AMR respectively. We expect the installed base of AGVs and AMRs to cross 3 million units in 2030.

Download a Free Sample of our report on AGV-AMR Market
Highlights of AGV (Automated Guided Vehicles) and AMR (Autonomous Mobile Robots) Market
Market Performance: Due to economic uncertainties, including capex cuts, inflation, supply chain disruptions, and geopolitical factors, the market witnessed slower growth than expected in 2023 and 2024. However, mobile robot sales are projected to exceed $6 billion in 2024.Future Growth: Over 700,000 mobile robots (AGVs and AMRs) are expected to be shipped by 2030, reaching an installed base of 3 million globally.AMR Market Surge: AMRs are anticipated to grow at a CAGR of over 30% between 2024 and 2030, surpassing AGVs in market share and shipments by 2030.Leading Markets: The United States, Germany, and China will dominate the market, with a combined annual demand of over 350,000 mobile robots by 2030.Applications and Technology
Goods-to-Person (G2P) and Person-to-Goods (P2G) AMRs: Both systems are growing in popularity, each with distinct advantages based on warehouse needs. Locus Robotics, a leading P2G vendor, reached 3 billion total picks across global deployments in April 2024.Emerging Robot Categories: Picking Robots, Manipulator Robots, Case Handling Robots, and Sortation Robots will play a vital role in fulfillment centers by 2030. RightHand Robotics recently signed a multi-year deal with Staples Inc. to deploy its RightPick™ system to enhance next-day delivery operations across 98% of the U.S.China’s Role: We expect China to become a hub for Autonomous Mobile Robots (AMRs), benefiting from labor cost advantages and high domestic consumption. Geekplus, a key player in the Chinese market, has successfully deployed over 170 tote-based AMR systems globally.Advanced Navigation: After QR code technology, LiDAR, Vision Cameras, and Sensor Fusions are becoming essential for enhanced accuracy and safety in navigation. Sensor Fusion AMRs are projected to grow by 70%. Specialized Autonomy Service Providers are collaborating with mobile robot manufacturers to develop these technologies using AI and Machine Vision.Emerging Applications
Delivery, Security, and Cleaning are the emerging applications to target with an attractive growth of ~30% apart from logistics and manufacturing although absolute market size is relatively low.Purchase the full report on the Mobile Robots Market – Growth, Trends, and Forecast
Top Factors & Challenges in the AGV and AMR Market
Industry 4.0 and Automation: Automation is the key focus in manufacturing and logistics sector as a part of Industry 4.0 and Supply Chain 4.0 initiatives for continuous growth and sustainability. Robotics is an important aspect of this automation and may contribute more than 20% in Warehouse Automation Market opportunity worth more than $55BE-commerce growth: Growth in e-commerce is the main driver for AGV/AMR demand in warehouse automation. Global e-Commerce sales have grown at a CAGR of 20% over the last decade, reaching more than $5 trillion worldwide in 2024, and expected to grow to ~$9 trillion by 2030. The share of online retail sales has gone from 2% of total to ~15%, and is further expected to reach ~25% by 2030.Rising Personnel Costs: High personnel costs and wage rates are especially high in the developed countries. Annual costs for a forklift operator can run up to $50,000, with round the clock operations driving up costs to over $200,000.AI and Deep Learning: Artificial Intelligence and Deep learning transforming warehouse operations and services. In 2023, SoftBank announced $100M investment to set up an artificial intelligence-oriented warehousing joint venture with Symbotic called GreenBox Systems. As per the announcement, SoftBank will also buy $7.5 billion of Symbotic’s AI-powered systems for its warehouses.RaaS and Leasing Options: Robots-as-a-Service (RaaS) models are becoming popular, reducing upfront costs. Flexible payment options such as “Pay Per Pick”, “Pay Per Mile”, “Pay Per Peak Day” allow warehouse operators to balance OpEx and Capex.Safety Challenges: While AGVs and AMRs are designed to operate safely around humans, safety requirements differ across industries. Ensuring compliance with safety standards is critical, particularly for service robots operating in public spaces such as malls, grocery stores, and hospitals.Cloud-Based Autonomy: Advanced AI-based autonomy platforms are migrating to the cloud for remote monitoring and scalability. For example, Continental Mobile Robots has collaborated with AWS to develop a cloud-based autonomy stack, offering features such as remote debugging and streamlined deployment processes.Key Players Analysed
AGV & AMR: Geek+, Quicktron (Flashhold), ForwardX Robotics, GreyOrange, HikRobot (HikVision), Mobile Industrial Robots – MiR (Teradyne), inVia Robotics, 6 River Systems – 6RS (Ocado Group), Fetch Robotics (Zebra), JATEN, Onward Robotics (IAM Robotics), Locus Robotics, Vecna Robotics, Waypoint Robotics (Locus Robotics), Tompkins Robotics, Scallog, OTTO Motors (Clearpath Robotics, Rockwell Automation), GIDEON Brothers, Magazino GmbH (Jungheinrich), NextShift Robotics (JASCI), AutoGuide Mobile Robots (MiR, Teradyne), EiraTech Robotics, Aethon (ST Engineering), Prime Robotics (BLEUM), HAI Robotics, Bionic HIVE, Oppent, PAL Robotics, Matthews Automation Solutions (Matthews International), GUOZI Robotics, CAJA Robotics, Omron (Adept Technology), Guidance Automation (Matthews International), Syrius Robotics, MALU Innovation (JD), Eurotec (Lowpad), Mitsubishi Logisnext Europe Oy (Rocla), NeoBotix, JBT Corporation, Transbotics (Scott Group), CSG Huaxiao, EK-Robotics (EK Automation), OCEANEERING, Wellwit Robotics, Logistic-Jet, SEEGRID, BALYO, Mushiny, TÜNKERS Maschinenbau GmbH, CPM – Dürr Group, SEER, FlexQube, IDEALworks GmbH, Continental Mobile Robots, SEER, DS Automotion (SS Schaefer)System Integrators (SI): Daifuku, Dematic (KION Group), SSI-Schaefer, Vanderlande (Toyota Advanced Logistics), Swisslog (KUKA), Knapp, Murata Machinery Ltd., Elettric 80, Beumer Group, Witron Logistik + Informatik, TGW Logistics, Grenzebach GmbH, FIVES Group, Honeywell Intelligrated, Bastian Solutions (Toyota Advanced Logistics), Material Handling System (MHS), Jungheinrich AG, LODIGE Industries, ViaStore Systems, Interlake Mecalux, Kardex, AutoStore, DMW&H, Westfalia, Dambach AG, PSB intralogistics GmbH, SIASUN Robot Automation Co., Ltd., SAVOYE, OPEX Corporation, System Logistics (Krones Group), GÜDEL, Addverb Technologies, Lodamaster Group, KPI Integrated Solutions, Wayzim TechnologyAutonomy Service Providers (ASP): Brain Corporation, Bluebotics, KOLLMORGEN, Autonomous Solutions, Inc. (ASI), MOVEL AI, MOV AI, FREEDOM ROBOTICS, ROBOMINDS, PERCEPTIN, ROMB Technologies, Balyo, Seegrid, Vecna RoboticsMachine Vision & Imaging: Basler AG, Keyence, Omron Microscan, CognexDisinfection Robots: UVD Robotics, Sarcos Robotics, Techmetics Robotics, Wellwit, Geek+, Fybots, Sherpa, Akara, MiR, Sesto, LionsBot, SmartGuardUV, Milvus, Revotonix, YouiBotRetail & Inventory Management Robots: Bossa Nova Robotics, Simbe Robotics, Badger Technologies, Lowe’s – LoweBot (Powered by Fellow AI), Fetch Robotics, Brain CorporationIndoor Delivery Robots: Bear Robotics, Keenon Robotics, Savioke Inc., Rice Robotics, Pudu, PAL Robotics, Keenon, Savioke, Segway Robotics, Anscer, AethonSecurity and Inspection Robots: Cobalt Robotics, Knightscope Robotics, OTSAW Digital, SMP Robotics, Enova, Secom, AgileXTele-operated / Telepresence Robots: Diligent Robotics, Ohmni Labs, AVA Robotics, GoBe Robotics, Double Robotics, Temi RoboticsCleaning Robots: Softbank Robotics, Avidbots, Gaussian Robotics, LionsBotHospital Support Robots: Revotonix L.L.C, Jetbrain, Aethon, MiR, MeanWhile, Keenon, Savioke, ABB, DiligentAgriculture Robots: Bogaerts, Harvest Automation, AIS, Katif, Naio Technologies, RobotnikDelivery Robots (Last Mile Delivery Robots): STARSHIP, NURO AI, Tele Retail, Kiwibot, Robby Technologies, Postmates, Eliport, Hello World Robotics, OTSAW, JD.com, ScoutBattery & Chargers: LG Chem (LG Energy Solutions), Crown Equipment Corporation, East Penn Manufacturing, EnerSys, SBS, iN2Power, Wiferion, Inventus Power, Toshiba SCiB, Conductix-WampflerMotion Control & Robotic Components: Advance Motion Control, Kollmorgen, Energid (Teradyne), Harmonic Drive System, Parker, Elmo Motion, CGI, Brother, Nidec, Allied Motion, SEW Eurodrive, Pilz, Nord, MurrelektronikKnow more about AGV and AMR Market – Top Players, Cost Analysis, Competition, and Customer Expectation
What will you get in this report?
500 Pages and 160+ Exhibits Market ReportRevenue and Shipment data segmented:By form factor (Deck-load, Tugger/Pull, Forklift)By Navigation (Tape/Wire/Magnet, Reflector, QR Codes, LiDAR, Camera, Sensor, Fusion)By Function (Goods to person (G2P), Person to Goods (P2G), Conveying, Piece picking, Towing, Pallet Handling)By Application (Manufacturing, Logistics and Warehousing, Shipping, Delivery, Cleaning, Security, Hospital, Retail)Detailed excel file with 150+ market tables (Revenue and Shipment) including forecast till 2030A bottom-up analysis of AGV AMR market for 19 countries (United States, Canada, Germany, UK, France, Italy, Spain, Nordics, China, Japan, South Korea, Australia, India, Taiwan, Thailand, Malaysia, Singapore, Indonesia, Phillippines) in 5 regionsIn-depth analysis of 700 companies in the ecosystem with more than 160 company profiles.Focus Group Discussion with 100+ key industry stakeholders across the value chain to collect the first-hand information to validate our analysis. Stakeholders include components and technology providers, system integrators, robot manufacturers (OEM/ODM), robotic software & service providers, and end-user industry verticals. Apart this, study also focuses on different components and integral parts of AGV/AMR like Motion Control, Batteries & Chargers, Cameras / Vision Sensor, LiDAR, Sensor Fusion, QR Code and Wireless Communication.2 Analyst Sessions to brainstorm furtherInvestment details excel file with 175+ M&A and ~1000 funding dealsLogisticsIQ™ Exclusive Market Map (700+ Players across more than 15 categories)About LogisticsIQ
LogisticsIQ is a dedicated market research and advisory firm in Logistics & Supply Chain sector, empowering decision makers from top fortune 1000 companies, financial and research institutions, private equity and high potential start-ups with market insights to make better decisions. We enable this by analysing the right mix of the best data, the best research methodologies, and the best industry panel to deliver value to our clients.
Media ContactName: Sunny M.Email: [email protected]: +91-952-918-4938
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Mediwave Showcases AI and AR Emergency Response Technology at EMS World 2024

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September 19, 2024

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LAS VEGAS, Sept. 19, 2024 /PRNewswire/ — Mediwave, a leader in emergency response solutions for prehospital care, made a significant impact at EMS World 2024, the largest Emergency Medical Services (EMS) convention in the United States, held at the Las Vegas Convention Center. Earlier this year, Mediwave launched the world’s first end-to-end emergency response suite powered by Artificial Intelligence (AI) and Augmented Reality (AR), further solidifying its position as an industry pioneer in the U.S. market by introducing its groundbreaking solution at the event through live demonstrations.

AI and AR-Powered Emergency Response Suite
At EMS World 2024, Mediwave unveiled its AI and AR-powered Emergency Response Suite, an integrated solution that consists of three core solution pillars: 
Intelligent Dispatch: Integrated with Emergency Response Management Systems (ERMS) and Electronic Patient Care Reporting (ePCR), the system optimizes response times through geo-fencing and route optimization, providing the fastest ambulance dispatch rather than merely the nearest.Connected Ambulances: Equipped with 4G/5G and Internet of Medical Things (IoMT), the solution enables remote monitoring and real-time data transmission of vital signs, facilitating rapid triage during patient transport.Intelligent EMT: Features an AI assistant for form-filling and validation for incident reports and patient care reporting, along with AR headsets for hands-free, immersive care.AI-Assisted ePCR Tool: A Game-Changer in EMS
A highlight of Mediwave’s technology is the AI assistant designed for first responders. Donnie Woodyard, an industry expert with over 30 years of experience as a paramedic and EMS system leader working closely with Mediwave, shared his on-site experience, “In hundreds of live demos of the AI assistant tool conducted at EMS World at the Mediwave booth, the solution consistently demonstrated over 99% accuracy in charting in most cases, completed in just seconds. This is a landmark achievement and the first of its kind, designed to meet the unique demands of EMS. I’m excited to work alongside this remarkable team to help the EMS industry thrive in the age of intelligent technology.”
Case Study: A Global Benchmark for EMS Technology Adoption
Mediwave’s innovations have already proven successful in real-world applications. The 1990 Suwa Seriya ambulance service in Sri Lanka, powered by Mediwave’s end-to-end emergency response suite, serves as a global benchmark for EMS technology adoption, achieving an impressive national response time of under 12 minutes. Recently cited by the World Bank as one of the most technologically advanced and fastest ambulance services in the world, Suwa Seriya exemplifies the transformative power of Mediwave’s solutions on a global scale.
Forging Ahead: AI and AR in EMS
Suren Pinto, Founder and CEO of Mediwave stated, “The future of EMS is being shaped right now. The overwhelming response at EMS World reaffirmed our mission in the prehospital care arena. As a first mover in the U.S. with our integrated AI and AR emergency response suite, Mediwave is proud to lead the way in delivering smarter, faster, and more effective emergency care solutions.”
Mediwave’s emergency response technology sets a new global standard for prehospital care. By leveraging AI and AR, the company enhances patient outcomes, operational efficiencies through technology integration for heightened situational awareness, and first responder mastery across the EMS sector and beyond.
About Mediwave
Headquartered in Singapore, Mediwave is a leading-edge digital healthcare solution provider, driving the future of prehospital emergency care with AI, IoMT, and Mixed Reality technologies designed for first responders and EMS agencies. Learn more: www.mediwave.io
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Global renewables company RES selects IFS Cloud to support operations and growth

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September 19, 2024

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IFS’s industry-leading ERP solution will be used to drive operational efficiencies in multiple countries
LONDON, Sept. 19, 2024 /PRNewswire/ — IFS, the leading provider of enterprise cloud and Industrial AI software, today announced that the world’s largest independent renewable energy company, RES, has selected IFS Cloud to support its business as it seeks to align operational procedures and continued global growth.

IFS Cloud’s combination of enterprise-class operational ERP proficiency, leading service management and asset management capabilities within a single, integrated platform will enable RES to support all its global processes.
IFS Cloud is ideally suited to meet RES’ needs. The solution’s twice-yearly updates ensure RES can quickly take advantage of new functionality as soon as it is released through a planned update cadence, while the composable nature of IFS Cloud enables RES to integrate new capabilities and innovation. RES can also use IFS Cloud to access one version of the truth from a single common data source, thereby having greater visibility over operations and make faster, more informed decisions.
Henrik Brandt, Chief Financial Officer, RES, said: “Investing in IFS Cloud gives us enhanced control over all our business activities, which will help us to drive operational efficiencies. With IFS Cloud, we will have access to clear business information for decision-making and will be able to achieve faster time to decisions as a result.”  
Mark Moffat, CEO, IFS, said: “RES is a bold, innovative renewable energy company that fully understands the strategic importance of asset and service centric ERP software and the potential of harnessing it to drive efficiencies across its business. We are confident that IFS Cloud will allow them to manage development and construction projects, deliver efficient asset operations, get visibility into project costs, and standardize processes across their entire business more effectively.”
About RES
RES is the world’s largest independent renewable energy company, working across 24 countries and active in wind, solar, energy storage, biomass, hydro, green hydrogen, transmission, and distribution. An industry innovator for over 40 years, RES has delivered more than 26 GW of renewable energy projects across the globe and plans to bring more than 22 GW of new capacity online in the next five years.
As a service provider, RES has the skills and experience in asset management, operations and maintenance (O&M), and spare parts – supporting 41GW of renewable assets across 1,300 sites. RES brings to the market a range of purposeful, practical technology-based products and digital solutions designed to maximise investment and deployment of renewable energy.
RES is the power behind a clean energy future where everyone has access to affordable zero carbon energy bringing together global experience, passion, and the innovation of its 4,500 people to transform the way energy is generated, stored and supplied. Visit: www.res-group.com
About IFS
IFS is the world’s leading provider of Industrial AI and enterprise software for hardcore businesses that make, service, and power our planet. Our technology enables businesses which manufacture goods, maintain complex assets, and manage service-focused operations to unlock the transformative power of Industrial AI™ to enhance productivity, efficiency, and sustainability.
IFS Cloud is a fully composable AI-powered platform, designed for ultimate flexibility and adaptability to our customers’ specific requirements and business evolution. It spans the needs of Enterprise Resource Planning (ERP), Enterprise Asset Management (EAM), Supply Chain Management (SCM), Information Technology Service Management (ITSM), and Field Service Management (FSM). IFS technology leverages AI, machine learning, real-time data and analytics to empower our customers to make informed strategic decisions and excel at their Moment of Service™.
IFS was founded in 1983 by five university friends who pitched a tent outside our first customer’s site to ensure they would be available 24/7 and the needs of the customer would come first. Since then, IFS has grown into a global leader with over 6,500 employees in 80 countries. Driven by those foundational values of agility, customer-centricity, and trust, IFS is recognized worldwide for delivering value and supporting strategic transformations. We are the most recommended supplier in our sector. Visit ifs.com to learn why.
CONTACT: [email protected]
This information was brought to you by Cision http://news.cision.com
https://news.cision.com/ifs/r/global-renewables-company-res-selects-ifs-cloud-to-support-operations-and-growth,c4040131
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View original content:https://www.prnewswire.co.uk/news-releases/global-renewables-company-res-selects-ifs-cloud-to-support-operations-and-growth-302253259.html

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