How Is 5G Adoption Boosting Data Center Infrastructure Management Demand? Data center strategy needs to be planned in such a manner that the systems never malfunction in any circumstance. As a result, data center managers are opting for data center infrastructure management (DCIM) solutions as they offer insights and visibility by monitoring different parameters, such as the performance of data center computers and servers, network operations, and security uptime, and resolving network issues as they arise. Owing to these advantages, DCIM solutions are being increasingly adopted by organizations for improving their decision-making process and by data centers for enhancing their uptime with better energy services. The surging use of such solutions can be credited to the increasing deployment of 5G network, which enables smooth movement of data between locations. This novel communication technology will offer support for extensive machine-to-machine communications, with around 100,000 connections per square kilometer. 5G also plays a significant role in establishing smart cities, which generate a huge volume of data that needs to be managed efficiently. Thus, the rising penetration of the 5G network, will steer the data center infrastructure management market growth during 2021–2030. According to P&S Intelligence, the market reached $1,425.6 million revenue in 2020. At present, DCIM solutions offered by Panduit Corporation, Infosys Ltd., ABB Ltd., IBM Corporation, Huawei Technologies Co. Ltd., Modius Inc., CommScope Inc., Nlyte Software, Delta Electronics Inc., NTT DATA Corporation, Hewlett-Packard Enterprise, Raritan Inc., and Cisco Systems Inc. are mostly used for asset management application. In recent years, information technology (IT) asset management has become very difficult due to the surging complexities of the systems. Many small organizations use paper and pen and spreadsheet-based solutions to track their IT assets, which cannot deal with the accelerating pace of IT infrastructure development. Currently, DCIM solution proving companies are mostly focusing on product development and launches to cater to the evolving needs of customers. For instance, in March 2020, ABB Ltd. introduced MegaFlex, a compact and resilient uninterruptible power supply (UPS) system, for continuous data center operations. This system was introduced to meet the burgeoning demand for infrastructure as a service (IaaS) and software as a service (SaaS) applications in business organizations, owing to which, data centers have become extensively crucial. Such novel products are being utilized by the banking, financial services, and insurance (BFSI), manufacturing, telecommunications, government and public sector, healthcare and life sciences, and IT and information technology-enabled services (ITeS) sectors for managing their data centers. All these sectors prefer on-premises solutions over the cloud-enabled ones, as monitoring data on infrastructure availability, humidity, power consumption, temperature, airflow, and other aspects has become very important, which can be efficiently done through such solutions. In the coming years, the Asia-Pacific (APAC) data center infrastructure management market will record the fastest sales of DCIM solutions, due to the accelerating adoption rate of advanced digital technologies, such as the internet of things (IoT) and machine learning, in Japan, China, and India. Moreover, the mounting investments being made in infrastructure development in these countries and escalating interest of regional governments on developing data centers will fuel the adoption of DCIM solutions in the region in the foreseeable future. Thus, the growing penetration of 5G network and soaring need for managing high volumes of data generated by several end-use industries will augment the need for DCIM solutions in the forthcoming years. Read More: https://www.psmarketresearch.com/market-analysis/data-center-infrastructure-management-dcim-market

Deep Learning Market To Grow by almost $100.0 Billion during 2020–2030 A number of factors, such as the rising focus of companies on reducing their operational costs and surging adoption of deep learning solutions in contact centers, are projected to boost the growth of the deep learning market at a CAGR of 35.2% during the forecast period (2020–2030). According to P&S Intelligence, the market generated $3.7 billion revenue in 2019, which is expected to reach $102.4 billion by 2030. Moreover, the market is witnessing the surging deployment of deep learning solutions in the healthcare sector. One of the prime factors propelling the demand for deep learning solutions is their surging adoption in contact centers. These centers are the largest users of such algorithms, which help them in enhancing first-call resolution, shortening the call duration, improving the customer satisfaction, and reducing the call volume, which, in turn, increases the revenue of companies. On the basis of the nature of the solutions, the calls are efficiently routed to the concerned people possessing satisfactory knowledge, and these algorithms help in decreasing the time taken for issue resolution. The application segment of the deep learning market is categorized into signal recognition, data mining, image recognition, recommendation engine, and natural language processing (NLP). Among these, the NLP category is projected to witness the highest CAGR in the coming years due to the surging demand for assimilating deep learning solutions with NLP to improve machine–human interactions. NLP with deep learning algorithms allows voice assistants and chatbots to better recognize the queries of customers and reply accordingly, without the intervention of human beings. Additionally, based on industry, the deep learning market is classified into banking, financial services, and insurance (BFSI), healthcare, manufacturing, automotive, retail, and others. Among these, the healthcare industry is projected to generate the largest demand for deep learning solutions in the coming years. This can be ascribed to the surging deployment of artificial intelligence (AI) technologies, such as deep learning, machine learning (ML), and big data, in the healthcare sector to support medical researchers and professionals in the analysis and extraction of data, for improved medical results. Geographically, the North American deep learning market accounted for the largest revenue share in 2019. This is attributed to the developed IT infrastructure, technological advancements, presence of several key market players, and rapid implementation of these solutions for product recommendations, voice assistance, and image recognition on social networks. The Asia-Pacific (APAC) market is set to witness the swiftest growth during the foreseeable period owing to the swift economic growth, increasing deployment of advanced technologies, rising IT investments, and mounting number of AI startups in the region. Thus, the surging adoption of deep learning solutions in contact centers and rising focus of companies on reducing their operational costs are expected to propel the market growth across the world during the forecast period. Read More: https://www.psmarketresearch.com/market-analysis/deep-learning-market-report

Healthcare Management Solutions Market Will Reach USD 98,795.5 Million by 2030 The healthcare management solutions market will garner USD 98,795.5 million by 2030, advancing with a CAGR of 13.5% by the end of this decade. The rising adoption of these solutions is brought on by the increasing demand for patient information management, appointment scheduling, hospital inventory, clinical error minimization, revenue cycle management, medical equipment handling, and various services that can help streamline the hospital workflow. Due to ageing populations, rising medical treatment costs, and the frequency of chronic diseases, healthcare systems around the world are under increasing financial strain. Healthcare management programs provide economical means to coordinate patient care, allocate resources efficiently, and reduce administrative costs, all of which contribute to the delivery of healthcare that is more effective and long-lasting. Strong data management and analytics solutions are required due to the massive accumulation of healthcare data. Healthcare management solutions use data analytics to gain insights, formulate better preventative care plans, increase clinical decision-making, and discover population health trends. Healthcare organizations can modify their computing resources in response to changing needs due to cloud-based platform's scalable infrastructure. Despite making substantial upfront expenditures in equipment or IT infrastructure, cloud-based systems may meet the growing demand as the number of healthcare facility increases or patient numbers rise. Users have the freedom to access the data at any time and from any location, which reduces operational costs. The requirement for significant up-front capital investments is eliminated by the subscription-based pricing model used by web and cloud-based technologies. Pay as you go schemes are an option for doctors and hospitals and can be more economical, particularly for tiny clinics or healthcare organizations with not that much finances To protect sensitive patient information, reputed cloud service providers use strong security controls, data encryption, and compliance certifications. Since data confidentiality, integrity, and availability are crucial for maintaining compliance with healthcare regulations, cloud solutions frequently comply with strict security standards. North America held the largest share of the health care management solutions market in the past. The increased frequency of chronic diseases, rising elderly population, increasing disposable income, and the rapid uptake of technologically sophisticated products in North America have all contributed to the region's supremacy. Additionally, the region is adopting these solutions due to rising government spending on better healthcare facilities, an increase in surgical operations, a rise in hospitalization rates, and the quick digitalization of healthcare IT infrastructure. It is because of the technical advancements, growing aging population, and government support for the digitalization of healthcare infrastructure, the demand for healthcare management solutions is growing, and this trend will continue in the years to come as well. Read More: https://www.psmarketresearch.com/market-analysis/healthcare-management-market