Artificial Intelligence
The Middle East and North Africa data center market by investment is expected to grow at a CAGR of 8% during the period 2020–2026
New York, May 21, 2021 (GLOBE NEWSWIRE) — Reportlinker.com announces the release of the report “Middle East and North Africa (MENA) Data Center Market – Industry Outlook & Forecast 2021-2026” – https://www.reportlinker.com/p06074890/?utm_source=GNW
The increased commercial 5G network deployment has led to the increased demand for high bandwidth internet in several Middle Eastern Tier II and Tier III cities. Edge data centers will create a decentralized data center model, where hyperscale facilities will connect multiple edge data centers. Saudi Arabia has been a leader in expanding its 5G networks, where telecom companies Zain, Saudi Telcom Company, and MOBILY are significant contributors to the market. Zain provides 5G access across 44 cities, followed by Saudi Telecom Company in 22 cities, and MOBILY in 21 cities. TAWAL, a Saudi ICT infrastructure company, has partnered with Nokia to provide turnkey services to expand and deploy 5G for TAWAL’s infrastructure in Saudi Arabia. Nokia’s 5G technology will be added in over 670 4G sites operated by TAWAL across Saudi Arabia. Nokia will also replace existing towers with newer ones in 2021. In January 2021, Zain deployed Phase II of its 5G deployment in Saudi Arabia in collaboration with Infovista, a network infrastructure company, and its radio planning portfolio. In the UAE, du, a major telecom operator, has partnered with Ericsson to transform its RAN 5G network using Ericsson’s Radio System portfolio. Also, Etisalat deployed 5G Fixed Network in homes in the UAE in September 2020. Hence, these deployments will continue to drive innovations in the data center power space, with increased modular infrastructure offerings. In North Africa, governments and telecom operators are working toward deploying 5G in the next few years. Huawei is collaborating with telecommunications companies such as Maroc Telecom, Orange, and Inwi, to roll out 5G network services in Morocco.
The following factors are likely to contribute to the growth of the Middle East and North Africa data center market during the forecast period:
• Smart City Initiative fueling Data Center Deployments
• Impact of COVID-19 on Data Center Market
• Big Data, IoT & Cloud Driving Data Center Investment
• Development of Modular Data Centers
The study considers the present scenario of the Middle East and North Africa data center market and its market dynamics for the period 2020?2026. It covers a detailed overview of several market growth enablers, restraints, and trends. The report offers both the demand and supply aspects of the market. It profiles and examines leading companies and other prominent ones operating in the market.
MENA Data Center Market Segmentation
The MENA data center market research report includes a detailed segmentation by IT infrastructure, electrical infrastructure, mechanical infrastructure, cooling systems, cooling technique, general construction, tier standards, geography. The Middle East and North Africa (MENA) server market are witnessing growth due to the growth in data traffic. The demand for ODM servers is increasing in the market. Data center operators are adopting the IT infrastructure to match high-end data processing requirements. The server market is slowly shifting to blade servers to support a high-density operating environment due to the increased usage of IoT, big data analytics, artificial intelligence, and machine learning by enterprises in the region.
UPS systems are being widely adopted to provide backup power for cooling systems installed in the facility. The adoption of lithium-ion batteries is likely to increase during the forecast period as their price will decline. In the UAE, the market is observing the adoption of N+1 redundant UPS systems. Data center operators will increasingly use renewable energy to power facilities. Most facilities are equipped with up to 500 kVA UPS systems powered mostly by VRLA batteries with N+1 redundant configuration in Turkey. The market will witness the adoption of diesel generators and transfer switches & switchgear with minimum N+N redundancy across data centers. It is expected that the demand for monitored and metered PDUs will grow during the forecast period due to the need to reduce OPEX across data centers. In Morocco, facilities have adopted power generators (equipped with on-site fuel reserve), dedicated transformer stations, modular inverters, and modular distribution boards.
The MENA data center market by mechanical infrastructure is expected to reach over USD 200 million by 2026. The adoption of cooling units highly depends on the IT load, rack density, and cooling systems design. Cooling systems and IT infrastructure are the predominant power consumers in data centers. Operators have adopted several innovations such as energy-efficient cooling infrastructure solutions to increase operational efficiency, reduce power consumption, and decrease carbon emissions. In terms of cooling systems, the use of free cooling techniques has grown significantly over the past few years across a few regions with favorable climatic conditions that can utilize evaporative/adiabatic coolers for cooling purposes. However, most facility developments in regions with tropical climatic conditions continue to use chilled water-based and air-cooled systems along with chiller units, cooling towers, dry coolers, condensers, and CRAC/CRAH units.
Most data centers in the region are designed to cool servers through water-based cooling techniques. The growing data center construction is a factor for adopting multiple chillers, cooling towers, and CRAH units. In Saudi Arabia, newly constructed facilities are likely to use advanced air-based cooling techniques because of the high temperature and less chance of availability of free cooling solutions. However, data centers that are built as part of commercial deployment include air-based cooling systems. The facilities in Turkey are adopting CRAC & CRAH units and chiller units. In terms of redundancy, most operators use N+1 and N+2 cooling redundancy for Tier III facilities. In addition, operators are likely to deploy dual-water feeds for efficient and uninterruptable operations.
Several global construction contractors offer their services in the MENA. Brownfield development is more cost-effective than greenfield development since the building is already built and only the installation needs to be done. Many facilities offer 24X7 onsite support, which includes security, maintenance, and smart hands teams. In addition, data centers are equipped with disaster recovery systems. Smaller facilities mainly dominate the Middle East and North Africa data center market with a power capacity of less than 15 MW. In the Middle East & North Africa, most facilities are operated by telecommunication operators. Therefore, various sensors, and video cameras are installed for surveillance in the data center to secure the datas. The market for physical security products has witnessed significant growth in recent years.
Tier I and Tier II data centers have reduced significantly over the past five years because of the increased awareness of redundant infrastructure in the MENA region. A majority of under-developed projects across the Middle Eastern & North Africa region fall under the Tier III category. Most data centers in the UAE are certified as Tier III facilities. In Turkey, modern data centers are developed according to Tier III standards, with a minimum of N+1 redundancy in power infrastructure. A few facilities operate 2N power infrastructure or have provisioned additional capacity to commission 2N infrastructure solutions based on the customer’s demand. Tier IV facilities are mainly built by hyperscale developers such as Facebook, Apple, Microsoft, and Google and major colocation providers worldwide. KKB Kredi Kayit Burosu A.S.’s KKB Anadolu Veri Merkezi data center is designed as per Tier IV standards.
By IT Infrastructure
• Servers
• Storage
• Network
By Electrical Infrastructure
• UPS Systems
• Generators
• Transfer Switches and Switchgears
• PDUs
• Other Electrical Infrastructures
By Mechanical Infrastructure
• Cooling Systems
o CRAC & CRAH Units
o Chiller Units
o Cooling Towers, Dry Coolers, & Condensers
o Other Cooling Units
• Racks
• Others Mechanical Infrastructure
By Cooling Technique
• Air-based Cooling Technique
• Liquid-based Cooling Technique
By General Construction
• Core and Shell Development
• Installation and Commissioning Services
• Engineering and Building Designs
• Physical Security
• DCIM/BMS
By Tier Standards
• Tier I &II
• Tier III
• Tier IV
INSIGHTS BY GEOGRAPHY
The UAE and Turkey account for the largest revenue contribution to the MENA data center market share. The adoption of cloud-based services leads to the growth of retail and wholesale colocation services in the region. The market is witnessing an increase in the demand for colocation spaces across existing and upcoming data centers. The rapid investment in 5G technology and its deployment leads to the generation of a substantial amount of data, further increasing investments in the facilities. The UAE is one of the growing markets for renewable energy products. The UAE works toward the installation of 42 GW of renewable energy in the country by 2050. Dubai aims to commission a five-part renewable energy project and is currently setting up an 800 MW solar park in the country. All these factors are likely to increase the demand for data center services in the country. Turkey is one of the emerging data center market, wherein increasing digitization has become a significant driver for data center investment over the last few years. Most investments come from the telecommunications sector due to increasing smartphone users in the country. The market is evolving, and investments are expected to pick up during the forecast period, with contributions from local and global data center providers. Government initiatives, cloud services, and submarine cables will be the prominent drivers for investments in Turkey.
By Geography
• Middle East & Africa
o UAE
o Saudi Arabia
o Turkey
o Jordan
o Morocco
o Egypt
o Other Middle East and North African Countries
INSIGHTS BY VENDORS
The Middle East and North Africa data center market consists of a host of IT, electrical, & mechanical infrastructure providers and general contractors. The market is witnessing a massive increase in data usage by consumers using services offered by companies in the e-commerce, social media, and entertainment industries. Digital services provided by the BFSI and government sectors are also critical enablers for data growth in the market. In terms of electrical infrastructure, the data center market in the Middle East & North Africa witnessed increasing competition amongst the power infrastructure providers. Data center operators are looking to procure energy-efficient power infrastructure solutions. Over the next few years, operators will consider adopting lithium-ion batteries, fuel cell technology, and intelligent PDUs to improve the facility’s efficiency.
Key Data Center Critical (IT) Infrastructure Providers
• Arista Networks
• Atos
• Broadcom
• Cisco Systems
• Dell Technologies
• Hewlett Packard Enterprise (HPE)
• Huawei Technologies
• Juniper Networks
• IBM
• Lenovo
• NetApp
Key Data Center Support Infrastructure Providers
• ABB
• Caterpillar
• Cummins
• Eaton
• Envicool
• Legrand
• Rittal
• Rolls-Royce Power Systems
• Schneider Electric
• STULZ
• Vertiv Group
Key Data Center Investors
• Amazon Web Services (AWS)
• Akbank
• Batelco
• Etisalat Group
• Equinix
• Gulf Data Hub
• Dubai Electricity & Water Authority (DEWA)
• N+ONE
• Orange
• Raya Data Center
• Turkcell
• Telecom Italia Sparkle
• Khazna
• Zain
Key Construction Constructors
• Arup Group
• Atkins
• Deerns
• ENMAR ENGINEERING
• Edarat Group
• ISG
• RED Engineering
• Harinsa Qatar (HQ)
• Turner & Townsend
• McLaren Construction Group
• LAING O’ROURKE
• ICS Nett
• Linesight
• Qatar Site and Power (QSP)
KEY QUESTIONS ANSWERED:
1. How big is the Middle East and North Africa (MENA) data center market?
2. What is the impact of COVID-19 on the MENA data center market?
3. What are the trends and drivers enabling the data center market growth?
4. What is the growth rate of the MENA data center market?
5. Who are the key data center investors in the market?
Read the full report: https://www.reportlinker.com/p06074890/?utm_source=GNW
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Artificial Intelligence
AI In Life Science Analytics Market worth $3.56 Bn by 2031 – Exclusive Report by InsightAce Analytic Pvt. Ltd.
JERSEY CITY, N.J., May 2, 2024 /PRNewswire/ — InsightAce Analytic Pvt. Ltd. announces the release of a market assessment report on the “Global AI In Life Science Analytics Market – By Component (Software, Hardware, Services), By Deployment (On-premise, Cloud), By Application (Research and Development, Sales and Marketing support, Supply chain analytics), By End-user (Medical Devices, Pharmaceutical, Biotechnology)), Trends, Industry Competition Analysis, Revenue and Forecast To 2031.”
According to the latest research by InsightAce Analytic, the Global AI In Life Science Analytics Market is valued at US$ 1.63 Bn in 2023, and it is expected to reach US$ 3.56 Bn by 2031, with a CAGR of 10.39% during the forecast period of 2024-2031.
Request for Sample Pages: https://www.insightaceanalytic.com/request-sample/2456
AI in the context of life science analytics refers to the use of AI techniques and tools for the analysis of biological as well as environmental data. With the use of artificial intelligence (AI), life science analytics may make better use of complex healthcare, medical, and scientific information by applying high-level computational algorithms.
The goal of life science analytics is to find useful patterns in massive amounts of medical, clinical, and biological data by applying various data analysis tools and techniques. Because of its superior computing and learning capabilities, AI is indispensable in improving life science analytics. The demand for more accurate and tailored techniques in healthcare and the life sciences, together with the rising availability of data, is projected to propel artificial intelligence in the life science analytics market to new heights as the discipline undergoes more development.
Pharmaceutical spending on complex diseases like cancer is on the rise, which is fueling the expansion of artificial intelligence in the life science analytics industry. However, implementing artificial intelligence (AI) solutions can be prohibitive for smaller organizations, making investing in the necessary technology and training difficult.
List of Significant Players in the AI In Life Science Analytics Market:
IndegeneLexalyticsDatabricksSAS Institute Inc.SisenseIQVIAIBMSorcero AtomwiseNuMediiAiCure LLCNuance CommunicationsAPIXIO, IncInsilico MedicineOther Market PlayersAI In Life Science Analytics Market Report Scope:
Report Attribute
Specifications
Market Size Value In 2023
USD 1.63 Bn
Revenue Forecast In 2031
USD 3.56 Bn
Growth Rate CAGR
CAGR of 10.39 % from 2024 to 2031
Quantitative Units
Representation of revenue in US$ Million and CAGR from 2024 to 2031
Historic Year
2019 to 2023
Forecast Year
2024-2031
Report Coverage
The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends
Segments Covered
By Component, Application, Deployment, And End-Use
Regional Scope
North America; Europe; Asia Pacific; Latin America; Middle East & Africa
Market Dynamics:
Drivers-
The growing demand for AI in the life science analytics market is fueled by the exponential growth of data in the life sciences. Conventional methods of data analysis need to be revised in the face of the enormous amounts of biological, clinical, and healthcare data produced by genomics, proteomics, and electronic health records. Artificial intelligence (AI) has arisen as a game-changing solution because of its superior processing capabilities; it can handle and derive valuable insights from these immense and complicated datasets with ease. Incredible possibilities for pattern discovery, disease outcome prediction, and optimization of healthcare and life sciences research await in the mountains of data. Utilizing AI, researchers, healthcare experts, and pharmaceutical businesses can easily integrate and analyze various forms of data, which in turn allows them to uncover useful insights.
Challenges:
The prime challenge is a lack of awareness, a shortage of competent individuals, and a lack of norms and protocol because of lockdowns and isolation in emerging countries, which is predicted to slow the growth of AI in the life science analytics market. The low level of implementation of AI in several healthcare settings. There is no denying AI’s revolutionary promise in healthcare, yet smaller or less tech-savvy healthcare organizations face challenges when trying to integrate these new technologies. In these contexts, adoption is more gradual because of a lack of resources, including both financial commitment and trained staff. Implementing AI systems is complex, necessitating specialized training and infrastructure changes, which adds to the already existing difficulties. In addition, the health and life science sectors were helped by the COVID-19 epidemic. There was a dramatic uptick in the use of artificial intelligence (AI) for life science analytics as a response to the epidemic, which prompted the industry to speed up innovation in the face of such a dire threat. During the pandemic, markets worldwide grew because of AI-driven discoveries, not the months-long and similarly costly traditional methods of vaccine recognition.
Regional Trends:
The North American AI in life science analytics market is anticipated to record a large market share in terms of revenue. It is projected to grow at a high CAGR in the near future due to the high need for AI solutions in almost every field of life science. Artificial intelligence (AI) solutions for biotech, precision medicine, and drug development are in high demand in this country. Besides, Asia Pacific had a remarkable share in the market due to the fact that numerous research firms have ramped up their investments in artificial intelligence software and technology in an effort to boost operational efficiency.
Curious About This Latest Version Of The Report? Enquiry Before Buying: https://www.insightaceanalytic.com/enquiry-before-buying/2456
Recent Developments:
In Feb 2024, Wipro and IBM extended their partnership in order to provide clients with new AI services and support. the Wipro enterprise ai-ready platform was developed by Wipro and IBM in the course of an extensive collaboration. The expanded collaboration merged the technological prowess and industry knowledge of Wipro with IBM’s pioneering hybrid cloud and AI developments. The objective was to develop collaborative solutions that facilitated the progress of integrating, enterprise-ready, dependable, and comprehensive artificial intelligence solutions.In Dec 2022, Quantori formed a partnership with Databricks to expedite data-driven advancements in the fields of life sciences and healthcare. Quantori created solutions using the Databricks Lakehouse Platform to offer immediate insights into real-world data to enhance patient outcomes for researchers and physicians.Segmentation of AI In Life Science Analytics Market-
By Component-
SoftwareHardwareServicesBy Deployment-
On-premiseCloudBy Application-
Research and DevelopmentSales and Marketing supportSupply chain analyticsOthersBy End-user-
Medical DevicesPharmaceuticalBiotechnologyBy Region-
North America-
The USCanadaMexicoEurope-
GermanyThe UKFranceItalySpainRest of EuropeAsia-Pacific-
ChinaJapanIndiaSouth KoreaSouth East AsiaRest of Asia PacificLatin America-
BrazilArgentinaRest of Latin America Middle East & Africa-
GCC CountriesSouth AfricaRest of the Middle East and AfricaFor More Customization @ https://www.insightaceanalytic.com/customisation/2456
Why should buy this report:
To receive a comprehensive analysis of the prospects for global AI In Life Science Analytics marketTo receive industry overview and future trends of global AI In Life Science Analytics marketTo analyze the AI In Life Science Analytics market drivers and challengesTo get information on the AI In Life Science Analytics market size value (US$ Mn) forecast till 2031Major Investments, Mergers & Acquisition in global AI In Life Science Analytics market industryOther Related Reports Published by InsightAce Analytic:
Life Science Tools Market
Big Data in Healthcare Market
Digital Twins in Healthcare Market
eConsent In Healthcare Market
About Us:
InsightAce Analytic is a market research and consulting firm that enables clients to make strategic decisions. Our qualitative and quantitative market intelligence solutions inform the need for market and competitive intelligence to expand businesses. We help clients gain competitive advantage by identifying untapped markets, exploring new and competing technologies, segmenting potential markets and repositioning products. Our expertise is in providing syndicated and custom market intelligence reports with an in-depth analysis with key market insights in a timely and cost-effective manner.
Contact US:InsightAce Analytic Pvt. Ltd.Tel.: +1 551 226 6109Email: [email protected] Visit: www.insightaceanalytic.comFollow Us on LinkedIn @ bit.ly/2tBXsgS
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View original content:https://www.prnewswire.co.uk/news-releases/ai-in-life-science-analytics-market-worth-3-56-bn-by-2031—exclusive-report-by-insightace-analytic-pvt-ltd-302134305.html
Artificial Intelligence
Fiix by Rockwell Automation Announces Industry-Leading GenAI Prescriptive Work Orders
Included in Fiix Asset Risk Predictor, Fiix Prescriptive Maintenance transforms asset health predictions into actionable work orders
BRUSSELS, May 2, 2024 /PRNewswire/ — Rockwell Automation, Inc. (NYSE: ROK), the world’s largest company dedicated to industrial automation and digital transformation, is excited to add cutting-edge, generative artificial intelligence (GenAI) prescriptive work orders to Fiix Asset Risk Predictor software, creating the first complete predictive and prescriptive maintenance solution to help manufacturers eliminate unplanned downtime.
Fiix Asset Risk Predictor’s powerful AI can be set up in as little as two weeks and starts predicting asset failures days in advance. With the addition of Fiix Prescriptive Maintenance, it now features GenAI capabilities that transform failure predictions into detailed, actionable work orders for maintenance teams.
Work orders are generated using asset data, completed work orders and trusted maintenance sources. Teams can then review and edit work orders, and instantly push them to any computerized maintenance management system (CMMS) or enterprise asset management (EAM) tool. All data is kept completely private and protected by the highest security standards.
“With Fiix Prescriptive Maintenance, you can turn asset data into the predictions and work orders you need to drastically reduce unplanned downtime, boost operational equipment effectiveness (OEE), and make better use of resources,” says Sandy D’Souza, senior director sales, Americas, Fiix by Rockwell Automation. “It also helps close the maintenance knowledge gap, ensuring everyone has access to detailed asset and work order information, whether they’ve just started their career or have decades of experience at a company.”
By bringing together AI-powered predictive maintenance and actionable GenAI work orders, Fiix Asset Risk Predictor ensures manufacturers see results in the fastest time possible.
Fiix Asset Risk Predictor, now including Fiix Prescriptive Maintenance, can be purchased and used independently from the Fiix CMMS or seamlessly integrated with it. It can also be integrated with any CMMS or EAM your company uses.
About Rockwell Automation
Rockwell Automation, Inc. (NYSE: ROK), is a global leader in industrial automation and digital transformation. We connect the imaginations of people with the potential of technology to expand what is humanly possible, making the world more productive and more sustainable. Headquartered in Milwaukee, Wisconsin, Rockwell Automation employs approximately 29,000 problem solvers dedicated to our customers in more than 100 countries. To learn more about how we are bringing the Connected Enterprise to life across industrial enterprises, visit www.rockwellautomation.com.
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View original content:https://www.prnewswire.co.uk/news-releases/fiix-by-rockwell-automation-announces-industry-leading-genai-prescriptive-work-orders-302134253.html
Artificial Intelligence
Breaking New Ground: Sentiance Introduces First Mobile Crash Detection for Motorcycles
ANTWERP, Belgium, May 2, 2024 /PRNewswire/ — Sentiance, a leader in road safety solutions, today announces a significant advancement in motorcycle safety with the expansion of its mobile Crash Detection technology. Originally developed for cars, this first-of-its-kind solution is now tailored specifically for motorcycles.
Built on state-of-the-art interpretive AI and machine learning models, Sentiance’s Crash Detection technology utilizes smartphone sensors and GPS data to analyze motion data in real-time. This enables the system to detect potential impacts with exceptional accuracy and reliability, addressing the unique dynamics of motorcycles. Unlike other systems, Sentiance’s technology operates directly on-device, ensuring a high level of privacy and data security.
“Today we see around 30% of all road crash deaths globally involving motorcycles, with countries like Thailand having an average of 5,000 motorcyclist deaths recorded annually. Ahead of the game, we’re not just enhancing safety features for those motorcycle riders, we are fundamentally transforming their safety landscape,” said Toon Vanparys, CEO of Sentiance. “This technology is not only a game-changer for individual safety but also addresses a significant need in markets where motorcycles are essential for daily transport and industries like food, grocery, and document delivery.”
This technology is especially crucial in regions like APAC, the Middle East, India, Africa, and South America, to transform road safety standards and make advanced safety tools easily accessible. Sentiance’s scalable and affordable technology ensures that even in cost-sensitive markets, safety, and privacy are not compromised.
By reducing accident response times and improving driving behaviors through data-driven insights, Sentiance’s mobile Crash Detection promises to reduce accident response times, saving lives and improving road conditions globally.
About Sentiance
Sentiance is the leader in motion insights. Our mission is to save lives every day and shape the future of road safety. Unlike telematics companies, we focus on the driver and not the vehicle because most accidents are caused by human error.
With our revolutionary on-device AI technology, companies use insights from The Edge Platform to produce scalable, cost-efficient, and privacy-centric solutions for their customers.
View original content:https://www.prnewswire.co.uk/news-releases/breaking-new-ground-sentiance-introduces-first-mobile-crash-detection-for-motorcycles-302133343.html
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