Artificial Intelligence
The Global Intelligent Network Market size is expected to reach $16 billion by 2028, rising at a market growth of 21.1% CAGR during the forecast period
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New York, April 20, 2023 (GLOBE NEWSWIRE) — Reportlinker.com announces the release of the report “Global Intelligent Network Market Size, Share & Industry Trends Analysis Report By Enterprise Size, By Application, By End User, By Regional Outlook and Forecast, 2022 – 2028” – https://www.reportlinker.com/p06449905/?utm_source=GNW
The network’s performance, dependability, and scalability are all improved through the application of cutting-edge technology like artificial intelligence (AI) and machine learning (ML). As a result, service providers can provide tailored services, streamline network administration, and cut costs by utilizing IN.
As a result, the consumer experience is enhanced, and the service providers have more options to earn money. The recommended ITU-T Q.1200 series standard network architecture is the intelligent network (IN). It is designed for use with both fixed and mobile telecom networks. Offering value-added services alongside conventional telecom services like ISDN, PSTN on fixed networks, and GSM on cellular phones or similar mobile devices enables operators to distinguish from the competition.
In contrast to approaches based on core switch intelligence or equipment, network nodes on the core network’s service layer —as opposed to the switching layer—provide the intelligence. The majority of the time, telecom service providers like phone companies or mobile phone operators are the ones who own the IN nodes. In communication between network switching hubs and other network nodes operated by network operators, IN is provided by the Signaling System #7 (SS7) protocol. This technology is used by numerous systems that have been implemented worldwide. With new services being added regularly, the architecture has shown to be reliable and a consistent source of income.
COVID-19 Impact Analysis
COVID-19 had a favorable effect on the market for intelligent networks. This is due to the expansion of 5G deployment and end users’ widespread use of intelligent network solutions to maintain business continuity worldwide. Due to the COVID-19 pandemic, which caused millions of people to live in isolation, reliable internet connection became essential for enabling people to work from home without having to travel to an office. Owing to the pandemic, the government put in place blockades to stop the virus’s spread. Still, these restrictions caused many businesses to go online and increased the adoption of digital services globally. As a result, the demand for intelligent network solutions arose, which propelled market expansion.
Market Growth Factors
Advancement of technologies like artificial intelligence as well as machine learning
Intelligent networks can deliver real-time network data that helps identify and fix network problems, enhancing network performance and decreasing downtime. Moreover, artificial intelligence and machine learning algorithms can instantly identify and stop security threats, enhancing network security and lowering the chance of security breaches. As a result, the incorporation of artificial intelligence and machine learning into intelligent networks enables better network performance, as well as the delivery of brand-new, cutting-edge services to clients. The market for intelligent networks is expanding as a result of these innovations.
Implementation of 5G networks on a large scale
An important opportunity for the market for intelligent networks is the broad adoption of 5G networks. The advantages of 5G networks over older generations of wireless networks include faster speeds, lower latency, as well as support for cutting-edge services, and the use of applications like the internet of things (IoT) and virtual reality. As 5G networks are implemented, there will be greater demand for intelligent network technologies to support the brand-new, intricate network infrastructure that 5G calls for. Operators can enhance customer experience, optimize network performance, and decrease downtime due to intelligent networks. This supports the growth of the regional market.
Market Restraining Factors
Limited data capabilities and high deployment costs
Since business models evolve quickly due to COVID-19, HR directors are pressured to reevaluate skill requirements. For this cohort, identifying and obtaining their organization’s digital capabilities to enable digital transformation, as envisaged post-COVID-19, is no easy task. In order to succeed with transformation, technology skills must now be marbled throughout organizational departments and businesses. In addition, soft skills must also be added. Because of this, the development of the market is anticipated to be constrained by a lack of knowledge and capabilities in AI-based networking, along with high deployment costs.
Application Outlook
Based on application, the intelligent network market is categorized into information cognition, traffic prediction & classification, resource management & network adoption, and performance prediction & configuration extrapolation. The traffic prediction and classification segment procured a considerable growth rate in the intelligent network market in 2021. Its use as a tool for resource management, network threat detection, and network service quality improvement accounts for the segment’s expansion. Service optimization, cyberspace governance, and the elimination of cyber risks all depend on understanding how network systems are used and how they function.
Enterprise Size Outlook
On the basis of enterprise size, the intelligent network market is divided into large enterprises and small & medium enterprises. The large enterprises segment acquired the largest revenue share in the intelligent network market in 2021. Large enterprises now disseminate their data and applications over numerous data centers, clouds, and edge environments. To meet the demands of this fragmented hybrid ICT ecosystem, organizations need new networking architecture that is ready for the cloud, satisfies application connectivity requirements, and maintains technical and operational consistency across sites.
End User Outlook
Based on end user, the intelligent network market is segmented into telecom service providers, cloud service providers, managed network service providers, and others. The telecom service providers segment witnessed the maximum revenue share in the intelligent network market in 2021. Network re-segmentation is utilized to accommodate increased capacity demand. However, this leads to node splitting that consumes time and pricey on-site network device changes. More network capacity is required when subscribers increase, and new services are provided.
Regional Outlook
On the basis of region, the intelligent network market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The North America segment procured the highest revenue share in the intelligent network market in 2021. This is related to the existence of market participants who provide best-in-class network technology and services. Also, expanding IoT devices and 5G networks across the region promotes the demand for IN. The market for intelligent networks in North America is expanding primarily due to the increasing deployment of network equipment and network security solutions.
The major strategies followed by the market participants are Product Launches. Based on the Analysis presented in the Cardinal matrix; Cisco Systems, Inc. and Huawei Technologies Co., Ltd. are the forerunners in the Intelligent Network Market. Companies such as Aruba Networks, NetCracker Technology Corporation and Nokia Corporation are some of the key innovators in Intelligent Network Market.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Orange S.A., Tech Mahindra Limited, Juniper Networks, Inc., Nokia Corporation, Cisco Systems, Inc., Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.), NetCracker Technology Corporation (NEC Corporation), Telefonaktiebolaget LM Ericsson, Aruba Networks (Hewlett Packard Enterprise Company) and Colt Technology Services Group Limited.
Recent Strategies deployed in Intelligent Network Market
Partnerships, Collaborations & Agreements
Sep-2022: Orange partnered with Netskope, a company providing data security software. This partnership would allow the company to provide consistent internet security services. Additionally, this would shield the customers from sophisticated threats and data loss across web and cloud applications with full details of the cloud-native platform.
Feb-2022: Nokia came into partnership with Kyndryl, a company engaged in providing large-scale information systems. This partnership would allow more organizations to accelerate the digitalization journey, transform operations and take advantage of Industry 4.0.
Mar-2020: Netcracker partnered with Google Cloud, a company providing cloud computing services. Through this partnership, the company would help customers on the next stage of digital transformation by focusing on superior customer experience and service innovation.
Product Launches and Product Expansions
Feb-2023: Orange collaborated with Ericsson to launch a commercial 5G Standalone network in markets of Spain. Ericsson is a company providing communication-based software solutions. Through the launch of these services, the customers would be benefitted from the technology’ including efficient appliance energy usage, indoor 5G coverage and the latest security features.
Feb-2023: Huawei released Digital Managed Network Solution. The launched solution would assist the carriers in grabbing digital transformation opportunities and promoting growth. Additionally, this would deliver rich product portfolios and digitally managed network capabilities to help carriers shift from ISPs to MSPs.
Feb-2023: Tech Mahindra unveiled SANDSTORM, a Smart Device Assurance Service developed for Enterprises and Telecoms. The product would change the way enterprises and telecos monitor their devices and network. Additionally, the product would allow customers to set up, gain valuable insights and run applications that were difficult previously.
Nov-2022: Netcracker Technology unveiled Netcracker Fiber Cloud Solution. The product would provide wholesale Fiber Operators with an open and lean IT environment based on efficiency, business growth and agility. Moreover, this would provide an automated and open IT environment by integrating wholesale BSS functions and cloud-native OSS into a pre-integrated solution to target the fibre market.
Jul-2022: Juniper Networks unveiled the EX4100 series of enterprise-grade wired access switches. The product would add to the company’s value of campus and branch environments and double down Juniper’s AI-driven advantages throughout the network lifecycle.
Mar-2022: Aruba added new features in Aruba ESP to allow enterprises to be in line with the fast transformation of business requirements. These new features would permit enterprises to consolidate the distributed networks with cloud-native services that facilitate in automating network configurations in WAN, wired and wireless infrastructures.
Acquisition and Mergers
Jul-2022: Ericsson completed the acquisition of Vonage, a company engaged in providing communications related in software solutions. This acquisition would provide the company access to building blocks to deliver a suite of communications solutions such as UCaaS, CCaaS and CPaaS.
Feb-2022: Juniper Networks acquires WiteSand, a software development company based in California. This acquisition would bring exceptional technology and an experienced engineering team to Juniper. Additionally, this would add to the efforts of the company to provide advanced NAC solutions as an important element for their AI-based enterprise portfolio.
Jun-2021: Cisco took over Kenna Security, a company providing network security solutions. Through this acquisition, the company’s customers would be able to solve crucial safety posture challenges by operating cross-functionally to quickly automate the prioritization, identification and prediction of cybersecurity threats.”
Feb-2021: Cisco completed the acquisition of IMImobile PLC, a company providing cloud communications software and services. This acquisition would deliver meaningful customer experiences throughout the life cycle by leveraging technology such as omnichannel capabilities, programmability for customization, experience management and artificial intelligence.
Scope of the Study
Market Segments covered in the Report:
By Enterprise Size
• Large Enterprises
• Small & Medium Enterprises
By Application
• Information Cognition
• Traffic Prediction & Classification
• Resource Management & Network Adoption
• Performance Prediction & Configuration Extrapolation
By End User
• Telecom Service Providers
• Cloud Service Providers
• Managed Network Service Providers
• Others
By Geography
• North America
o US
o Canada
o Mexico
o Rest of North America
• Europe
o Germany
o UK
o France
o Russia
o Spain
o Italy
o Rest of Europe
• Asia Pacific
o China
o Japan
o India
o South Korea
o Singapore
o Malaysia
o Rest of Asia Pacific
• LAMEA
o Brazil
o Argentina
o UAE
o Saudi Arabia
o South Africa
o Nigeria
o Rest of LAMEA
Companies Profiled
• Orange S.A.
• Tech Mahindra Limited
• Juniper Networks, Inc.
• Nokia Corporation
• Cisco Systems, Inc.
• Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
• NetCracker Technology Corporation (NEC Corporation)
• Telefonaktiebolaget LM Ericsson
• Aruba Networks (Hewlett Packard Enterprise Company)
• Colt Technology Services Group Limited
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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.
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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.
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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.
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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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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.
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