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Global IoT Technology Industry Landscape 2021-2026: Market Analysis & Forecast, Technology & Value Chain, Company Analysis, and Strategic Recommendations

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Dublin, Dec. 23, 2021 (GLOBE NEWSWIRE) — The “IoT Technology Market by Hardware, Software, Platforms, and Solutions in Industry Verticals 2021-2026” report has been added to ResearchAndMarkets.com’s offering.

This report represents the most comprehensive research covering core IoT hardware, software, and firmware as well as supporting technologies such as AI and edge computing. The report evaluates leading vendors, products, and services offerings.

The quantitative portion of the report provides detailed forecasts for the global and regional IoT technology market for 2021 to 2026. The report also includes specific industry recommendations in key areas such as data analytics and AI hardware, software and services.

IoT Technology Market Drivers

At its core, IoT solutions are intended to optimize asset management, workflow, and processes. This includes automation of physical infrastructure, remote management and monitoring, and predictive insights. Virtually every operational process and procedure will be impacted by IoT at some point for most industries.

Longer-term, the IoT technology market will make a substantive impact across many industry verticals, especially those that benefit from process automation, improved service delivery, and acquisition of actionable data.

Successful companies will be those that understand how and where IoT technologies and solutions will drive opportunities for operational improvements, new and enhanced products and services, as well as completely new business models.

To achieve these goals, service providers and businesses are deploying IoT platforms, and many types of software programs and operating systems. Equally important are related IoT managed services such as system integration and data management to enable optimized deployment as well as efficient and effective ongoing operations.

AI in the IoT Technology Market

Current IoT networks are largely deterministic in nature, relying upon autonomic systems making decisions based on predetermined rules that take action based upon the occurrence of specific events. The Artificial Intelligence of Things (AIoT) will become increasingly important as the AIoT market evolves to allow IoT networks and systems to become more cognitive. The emerging AIoT market will enable systems to become increasingly more cognitive, making decisions based on context and experience.

It is important to recognize that intelligence within the IoT technology market is not inherent but rather must be carefully planned. AIoT market elements will be found embedded within software programs, chipsets, and platforms as well as human-facing devices such as appliances, which may rely upon a combination of local and cloud-based intelligence.

Just like the human nervous system, IoT networks will have both autonomic and cognitive functional components that provide intelligent control as well as nerve end-points that act like nerve endings for neural transport (detection and triggering of communications) and nerve channels that connect the overall system.

The big difference is that the IoT technology market will benefit from engineering design in terms of AI and cognitive computing placement in both centralized and edge computing locations.

IoT Technology Market Components

IoT networks and systems consist of a vast array of hardware, software and firmware elements including semiconductors and embedded devices, sensors, controllers, and gateways. Communication between end-nodes and IoT platforms depend upon wired and wireless networking based on LTE and emerging 5G networks as well as many non-cellular low power WAN methods.

IoT infrastructure and platforms consists of hardware, software, and Application Programming Interfaces (API) with APIs acting as a key element providing access to IoT platforms for intra-network signaling/messaging as well as communications on an intersystem basis. IoT APIs also provide a means for provisioning and administration of IoT devices, data, and applications.

IoT hardware may be both physical and virtualized. IoT software may be both deterministic in terms of programming and outcomes as well as programmatic thanks to IoT APIs and communications platforms as a service (CPaaS). IoT APIs may be open, proprietary, and/or pre-built connectors for specific purposes. Taken together, IoT hardware, software and APIs provide the basis for IoT platforms, which consist of many different programs, algorithms, and operating systems.

Programming IoT will entail a variety of resources and tools including Software Development Kits (SDK), Application Programming Interfaces (API), Graphical User Interfaces (GUI), IoT platforms for application enablement (development and on-boarding), and open-source software. The long-term success of the IoT technology market will depend on the extent to which these tools may be leveraged by third-party software companies in an open development environment.

IoT Technology Market Solutions

The “things” involved in IoT vary from devices used to detect, actuate, signal, engage, and more. IoT things also involve everything from gateways, modules, and sensors to hardware and embedded software within products and equipment and other consumer, enterprise, and industrial assets.

The IoT technology market ecosystem could easily become highly cumbersome with so many different items to consider as part of IoT provisioning, activation, administration and other management functions. Accordingly, there is a need for IoT platforms for management of IoT devices, interfaces, software, applications, and data.

IoT provides a wealth of data, which is derived largely from machine-related events. The ability to sort data in a raw format, store it in different structural formats, and subsequently release it for further analytics, will be of paramount importance for all industry verticals. Converting raw data into actionable information is one of the key goals of the IoT technology market.

Important consideration areas include Data Collection (what, how, when, why, and where), Data Networking (connectivity, routing, and access), and Data Management (storage, analytics, and distribution). Important aspects of IoT data management include storage of both raw and transformed data as well as IoT data distribution rights and privacy management.

Key Topics Covered

1. Executive Summary

2. Introduction
2.1 Market Overview
2.2 Research Objectives
2.3 Select Findings
2.4 Target Audience
2.5 Companies in the Report

3. Overview
3.1 Defining the IoT
3.2 IoT Technology
3.3 IoT Functional Structure
3.4 IoT Network Architecture
3.5 Economic Impact Analysis
3.6 Market Factors and Challenges
3.7 Machine Learning and Artificial Intelligence
3.8 The Artificial Intelligence of Things
3.9 Edge Computing and Fog Computing
3.10 Digital Twin Technology
3.11 5G to Drive Substantial IoT Network Expansion
3.12 Blockchain Technology
3.13 Cloud Computing
3.14 Internet of Nanoscale Things

4. Technology and Value Chain
4.1 IoT Semiconductor Building Blocks
4.1.1 Wireless Sensors
4.1.2 IoT Processors
4.1.3 IoT Gateways
4.1.4 IoT Applications
4.2 IoT Chipsets
4.3 Network Technology and Protocols
4.4 Real-Time Operating Systems
4.4.1 Open Source RTOS
4.4.2 Commercial RTOS
4.4.3 Distributed Stream Computing Platforms
4.5 IoT Software and Platforms
4.5.1 IoT Analytics
4.5.2 IoT Security
4.5.3 IoT Device Management
4.5.4 IoT Standard and API Interoperability
4.6 Solutions and Applications Drive IoT Innovation
4.7 IoT Value Chain
4.7.1 Hardware Device Providers
4.7.2 Component Providers
4.7.3 Platform Providers
4.7.4 Software and Service Providers
4.8 IoT Investments and Market Alliances
4.9 Role of Mobile Network Operators

5. Company Analysis
5.1 NVidia Corporation
5.2 IBM Corporation
5.3 Intel Corporation
5.4 Samsung Electronics Co. Ltd.
5.5 Microsoft Corporation
5.6 Google Inc.
5.7 Qualcomm Incorporated
5.8 Huawei Technologies Co. Ltd.
5.9 Fujitsu Ltd.
5.10 Juniper Networks, Inc.
5.11 Nokia Corporation
5.12 ARM Limited
5.13 Hewlett Packard Enterprise
5.14 Oracle Corporation
5.15 SAP
5.16 General Electric
5.17 Wind River Systems Inc.
5.18 Cumulocity GmbH
5.19 SparkCognition Inc.
5.20 Amazon Inc.
5.21 Cisco Systems
5.22 Atmel Corporation
5.23 Texas Instruments Inc.
5.24 Advanced Micro Devices Inc.
5.25 XILINX Inc.
5.26 Gemalto N.V.
5.27 Micron Technology
5.28 SAS Institute Inc.
5.29 General Vision Inc.
5.30 PTC Corporation
5.31 Analog Devices Inc.
5.32 Cypress Semiconductor Corp.
5.33 Rohm Semiconductor
5.34 Semtech Corporation
5.35 Enea AB
5.36 Express Logic Inc.
5.37 Kaspersky Lab
5.38 Losant IoT Inc.
5.39 Thethings.io
5.40 Robert Bosch GmbH
5.41 Echelon Corporation
5.42 Symantec Corporation
5.43 NXP Semiconductors N.V.
5.44 STMicroelectronics
5.45 MediaTek Inc.
5.46 Microchip Technology Inc.
5.47 Renesas Electronics Corporation
5.48 Ayla Networks Inc.
5.49 Pepper
5.50 Helium Systems Inc.

6. IoT Technology Market Analysis and Forecasts 2021-2026
6.1 Global IoT Technology Market 2021-2026
6.2 Regional IoT Technology Market 2021-2026
6.3 IoT Technology Unit Shipments 2021-2026

7. Conclusions and Recommendations
7.1 Advertisers and Media Companies
7.2 Artificial Intelligence Providers
7.3 Automotive Companies
7.4 Broadband Infrastructure Providers
7.5 Communication Service Providers
7.6 Computing Companies
7.7 Data Analytics Providers
7.8 Emerging Technology (AR, VR, MR) Providers
7.9 Networking Equipment Providers
7.10 Networking Security Providers
7.11 Semiconductor Companies
7.12 IoT Suppliers and Service Providers
7.13 Software Providers
7.14 Smart City System Integrators
7.15 Automation System Providers
7.16 Social Media Companies
7.17 Workplace Solution Providers
7.18 Enterprises and Government

For more information about this report visit https://www.researchandmarkets.com/r/6su20r


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Clinical Trials Matching Software Market Projected to Reach $832.56 million by 2030 – Exclusive Report by 360iResearch

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PUNE, India, April 18, 2024 /PRNewswire/ — The report titled “Clinical Trials Matching Software Market by Functionality (Analytics & Reporting, Compliance Tracking, Data Management), Deployment (Cloud & Web Based, On-Premise), End-Use – Global Forecast 2024-2030” is now available on 360iResearch.com’s offering, presents an analysis indicating that the market projected to grow from a size of $342.20 million in 2023 to reach $832.56 million by 2030, at a CAGR of 13.54% over the forecast period.

“The Global Surge in Adoption of Matching Software for Enhanced Participant Enrollment”
Clinical trials matching software stands at the forefront of revolutionizing clinical research by automating the process of identifying and enrolling eligible participants. These platforms offer a streamlined approach to match patient health profiles with trial requirements, accelerating enrollment and supporting the shift toward personalized healthcare using these advanced AI and ML technologies. Although integrating these systems poses challenges due to variations in healthcare IT infrastructure and the imperative for rigorous data security, the potential for market growth is substantial. In the Americas, a robust clinical trials ecosystem thrives; in the European Union, it has unified regulatory standards and extended to emerging regions such as the Middle East, Africa, and the APAC countries; the demand for such innovative solutions is on a steep rise. This demand is fueled by governmental support, the evolving regulatory landscape, and strategic partnerships to embed these solutions within electronic health records, underscoring a global movement toward optimizing clinical trial processes to better cater to specific patient demographics.
Download Sample Report @ https://www.360iresearch.com/library/intelligence/clinical-trials-matching-software
“The Rise of Virtual Trials and Advanced Matching Software”
The healthcare landscape is witnessing a transformative shift toward virtual clinical trials, fueled by technological advancements and the necessity for continuity during the COVID-19 pandemic. This transition supports research amid social distancing measures and introduces significant cost savings by reducing the need for physical infrastructure and in-person interactions. The efficiencies brought by electronic health records (EHR), wearable technologies, and automation streamline the entire process, from patient recruitment to data analysis. Several approaches, endorsed by regulatory bodies such as the FDA, represent a leap forward in making clinical trials more accessible and streamlined, ensuring that more patients can participate in potentially life-saving research without the geographical and logistic constraints of traditional trials.
“Enhancing Clinical Trials through Advanced Analytics, Rigorous Compliance, and Precision-Patient Matching”
Integrating advanced analytics, meticulous compliance monitoring, and precision-patient matching marks a significant advancement toward maximizing efficiency and fostering trial diversity. The software delivers insightful data on trial progress, participant demographics, and enrollment figures, empowering stakeholders to make well-informed decisions and optimize resource distribution to meet trial goals effectively by implementing cutting-edge analytics. The built-in compliance feature ensures trials are conducted in strict adherence to regulatory standards, minimizing risks associated with non-compliance. Furthermore, a robust data management system guarantees the integrity and availability of clinical trial data, which is critical for the seamless operation and real-time analysis of trials. The software includes state-of-the-art patient matching technology, which employs sophisticated algorithms and artificial intelligence to expedite recruitment by accurately identifying candidates who match specific trial requirements. This innovative approach accelerates the recruitment timeline and enhances the diversification of trial participants, paving the way for more inclusive and representative clinical research outcomes.
Request Analyst Support @ https://www.360iresearch.com/library/intelligence/clinical-trials-matching-software
“Medidata by Dassault Systèmes SE at the Forefront of Clinical Trials Matching Software Market with a Strong 11.30% Market Share”
The key players in the Clinical Trials Matching Software Market include International Business Machines Corporation, Science 37, Inc. by eMed, LLC, Medidata by Dassault Systèmes SE, AutoCruitment LLC, Deep 6 AI Inc., and others. These prominent players focus on strategies such as expansions, acquisitions, joint ventures, and developing new products to strengthen their market positions.
“Introducing ThinkMi: Revolutionizing Market Intelligence with AI-Powered Insights for the Clinical Trials Matching Software Market”
We proudly unveil ThinkMi, a cutting-edge AI product designed to transform how businesses interact with the Clinical Trials Matching Software Market. ThinkMi stands out as your premier market intelligence partner, delivering unparalleled insights with the power of artificial intelligence. Whether deciphering market trends or offering actionable intelligence, ThinkMi is engineered to provide precise, relevant answers to your most critical business questions. This revolutionary tool is more than just an information source; it’s a strategic asset that empowers your decision-making with up-to-the-minute data, ensuring you stay ahead in the fiercely competitive Clinical Trials Matching Software Market. Embrace the future of market analysis with ThinkMi, where informed decisions lead to remarkable growth.
Ask Question to ThinkMi @ https://app.360iresearch.com/library/intelligence/clinical-trials-matching-software
“Dive into the Clinical Trials Matching Software Market Landscape: Explore 190 Pages of Insights, 286 Tables, and 22 Figures”
PrefaceResearch MethodologyExecutive SummaryMarket OverviewMarket InsightsClinical Trials Matching Software Market, by FunctionalityClinical Trials Matching Software Market, by DeploymentClinical Trials Matching Software Market, by End-UseAmericas Clinical Trials Matching Software MarketAsia-Pacific Clinical Trials Matching Software MarketEurope, Middle East & Africa Clinical Trials Matching Software MarketCompetitive LandscapeCompetitive PortfolioInquire Before Buying @ https://www.360iresearch.com/library/intelligence/clinical-trials-matching-software
Related Reports:
Clinical Trial Support Services Market – Global Forecast 2024-2030Virtual Clinical Trials Market – Global Forecast 2024-2030Clinical Trials Management System Market – Global Forecast 2024-2030About 360iResearch
Founded in 2017, 360iResearch is a market research and business consulting company headquartered in India, with clients and focus markets spanning the globe.
We are a dynamic, nimble company that believes in carving ambitious, purposeful goals and achieving them with the backing of our greatest asset — our people.
Quick on our feet, we have our ear to the ground when it comes to market intelligence and volatility. Our market intelligence is diligent, real-time and tailored to your needs, and arms you with all the insight that empowers strategic decision-making.
Our clientele encompasses about 80% of the Fortune Global 500, and leading consulting and research companies and academic institutions that rely on our expertise in compiling data in niche markets. Our meta-insights are intelligent, impactful and infinite, and translate into actionable data that support your quest for enhanced profitability, tapping into niche markets, and exploring new revenue opportunities.
Contact 360iResearchMr. Ketan Rohom360iResearch Private Limited,Office No. 519, Nyati Empress,Opposite Phoenix Market City,Vimannagar, Pune, Maharashtra,India – 411014.Email: [email protected]: +1-530-264-8485India: +91-922-607-7550
To learn more, visit 360iresearch.com or follow us on LinkedIn, Twitter, and Facebook.
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RepTrak Announces 2024 Global RepTrak® 100 Report

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BOSTON, April 18, 2024 /PRNewswire/ — The RepTrak™ Company, the world’s leading reputation data and insights company, released its annual Global RepTrak 100 report. Utilizing its advanced reputation monitoring software, RepTrak gathered data from more than 243,000 survey responses across 14 major economies to rank the world’s 100 most reputable companies. They share that ranking alongside a full analysis of global corporate reputation trends and corresponding public sentiment in the 2024 report.

After two years of consecutive Reputation Score declines, this year’s Score is back up with an increase from 73.2 in 2023 to 73.8 in 2024. It’s a small increase after 2023’s full one-point drop. However, it’s an encouraging sign that companies have begun to recover from reputation falls driven by many challenges: macroeconomic issues, workplace difficulties, product problems, and corporate responsibility skepticism.
“This year’s report underscores a pivotal shift in the corporate landscape, spotlighting the remarkable adaptability and dedication of the Top 100 companies in responding to the dynamic needs of stakeholders,” states RepTrak CEO Mark Sonders. “The companies featured in our report are not just riding the wave of change; they are the ones steering it, proving that the best approach to business is one that embraces evolution and champions progress.”
RepTrak’s report explores how people thought, felt, and acted toward companies over the past year. Findings include notable increases in Conduct and Citizenship efforts, stakeholders’ rising willingness to invest, culturally resonant brand communications, and ESG Scores that soared despite skepticism around the acronym.
To read the full 2024 Global RepTrak 100 report, please visit: www.reptrak.com/globalreptrak
About RepTrak
The RepTrak™ Company is the world’s leading reputation data and insights company. We help companies by organizing and grading a variety of reputational elements, offering a real-world report card on their corporate reputation. Subscribers to the RepTrak program use our predictive insights to protect business value, improve return on investment, and increase their positive impact on society. RepTrak’s pairing of advanced metrics and dedicated reputation advisors offers clients an actionable analysis of their reputation data, aligning business objectives with stakeholder sentiment across different markets and sectors.
Established in 2004, The RepTrak Company owns the world’s largest reputation benchmarking database, gathering over 1 million company ratings per year used by CEOs, boards, and executives in more than 60 countries worldwide. For more information, please visit: www.reptrak.com
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Group-IB takes part in a global operation to cripple Canadian Phishing-as-a-Service provider LabHost

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SINGAPORE, April 18, 2024 /PRNewswire/ — Group-IB, a leading cybersecurity company aimed at investigating, preventing, and fight digital crime announced today that it participated in a coordinated global takedown operation against prominent Canadian Phishing-as-a-Service (PhaaS) provider LabHost, which has led to the arrest of 37 suspects across the United Kingdom and around the world by law enforcement agencies. As part of the operation, Group-IB also conducted an extensive analysis of LabHost’s criminal history and infrastructure, including insights into LabHost’s administrative platform and the services it provides to its purported user base which exceeds 2,000 subscribers worldwide, who illegally obtained around 480,000 card numbers, 64,000 pin numbers, and over 1 million passwords from victims used for websites and other online services, according to law enforcement agencies.

“By leveraging our Threat Intelligence and Digital Risk Protection, we are able to identify and monitor phishing attacks and websites like those deployed by LabHost and its subscribers around the world, enabling us to actively alert and protect our customers, and in turn, their customers as well,” said Dmitry Volkov, Chief Executive Officer of Group-IB. “Today’s takedown operation demonstrates the agility and responsiveness of our decentralized Digital Crime Resistance Centers, and how quickly we can provide immediate and local assistance wherever our customers may be.”
First uncovered in late 2021, LabHost emerged as a fully automated Phishing-as-a-Service (PhaaS) platform, streamlining the creation of phishing websites meticulously mirroring the interface and functionality of prominent banking, postal, and financial entities, aimed at intercepting, seizing, and profiting from users’ personal, credit card, and online banking credentials. Users are prompted to select from various “membership plans,” tailored to target businesses and individuals in either the United States and Canada, or globally, akin to mobile subscription models. These plans encompass “standard,” “premium,” and “world membership” tiers, priced between US$179 and US$300 monthly, with options for monthly, quarterly, or annual billing cycles.
For media inquiries, please contact [email protected]
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