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Utility Asset Management Market Projected to Grow at a CAGR of 9.9%, Reaching USD 7.34 Billion by Forecast 2030 – Report by Market Research Future (MRFR)

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New York, US, May 25, 2023 (GLOBE NEWSWIRE) — According to a Comprehensive Research Report by Market Research Future (MRFR), “Utility Asset Management Market Information by Utility Type, Component, Application, and Region – Forecast till 2030”, Utility Asset Management Market could thrive at a rate of 9.9% between 2022 and 2030. The market size will be reaching around USD 7.34 Billion by the end of the year 2030

Utility Asset Management Market Overview         

Utility Asset Management refers to the process of managing and maintaining the assets owned by utilities, such as power plants, electrical grids, water and wastewater treatment plants, and other critical infrastructure. Utility asset management involves identifying, monitoring, and maintaining the assets to ensure they are functioning optimally, efficiently, and safely.

Utility Asset Management is used to prevent system failures, extend the life of assets, and reduce maintenance costs. It helps utilities to prioritize asset replacement and maintenance based on the asset’s criticality and the risks associated with its failure. The process involves the use of various technologies such as sensors, Internet of Things (IoT) devices, and analytics software to monitor the asset’s health, predict its remaining life, and schedule maintenance accordingly.

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Market Competitive Landscape:

The affluent companies in the Utility Asset Management industry include

  • General Electric Company
  • Siemens AG
  • ABB Ltd
  • Emerson Electric Co
  • Schneider Electric SE
  • Hitachi, Ltd
  • S&C Electric Company
  • Oracle Corporation
  • IBM Corporation
  • CGI Group Inc
  • Among others.

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May 2021

ABB Group launched ABB Ability Asset Vista Condition Monitoring, a software solution that uses artificial intelligence to predict and prevent asset failure. The solution provides real-time data analytics and insights into the health and performance of critical assets, enabling utilities to make informed decisions about maintenance and replacement.

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Utility Asset Management Market USP Covered:

Market Drivers:

The increasing demand for energy-efficient infrastructure is one of the significant driving factors for the utility asset management market. With the growing global population and economic development, energy consumption is increasing rapidly, leading to a surge in carbon emissions and environmental concerns. To mitigate this, utility companies are increasingly investing in energy-efficient infrastructure to reduce their carbon footprint and meet energy demands sustainably. Utility asset management plays a crucial role in this by providing real-time monitoring, analysis, and optimization of energy consumption, enabling companies to minimize energy wastage and optimize their energy usage.

Another driving factor for the utility asset management market is the need for a reliable and secure power supply. The increasing frequency and intensity of natural disasters, such as hurricanes, earthquakes, and wildfires, pose a significant threat to utility infrastructure, leading to power outages and downtime. Utility asset management solutions help mitigate these risks by providing predictive maintenance and real-time monitoring of infrastructure, enabling companies to proactively identify potential failures and prevent downtime. This ensures a reliable and secure power supply to end-users, enhancing customer satisfaction and loyalty.

Report Scope:

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Report Metrics Details
Market Size 2030 2030: USD 7,340 Million
CAGR during 2022-2030 9.9% CAGR
Base Year 2021
Forecast 2022-2030
Report Coverage Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
Segments Covered Application, Component, and Utility Type
Key Market Opportunities An integrated approach to Big Data Analytics and Artificial Intelligence (AI) to complement industry outlooks
Key Market Drivers The growing use of software package analytics for grid improvement


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Utility Asset Management Market:

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Market Restraints:

The Utility Asset Management Market faces several restraints that hinder its growth and adoption. One of the significant restraints is the lack of a skilled workforce and the high cost of implementing asset management solutions. Many utilities lack the technical expertise to implement and maintain complex asset management solutions, which can lead to suboptimal utilization of assets and higher maintenance costs.

The cost of implementing asset management solutions can also be a significant barrier for some utilities, especially in developing regions. The initial cost of implementing asset management solutions can be high, and many utilities may not have the necessary budget to invest in these solutions. Additionally, the lack of a standardized approach to asset management can make it challenging for utilities to select and implement the right solutions that meet their specific needs.

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Utility Asset Management Market COVID 19 Analysis

The COVID-19 pandemic has impacted the Utility Asset Management Market, with supply chain disruptions and economic uncertainty leading to a slowdown in the market’s growth. However, the post-COVID-19 scenario is expected to see a resurgence in the market due to the increasing demand for energy-efficient infrastructure and the need for a reliable and secure power supply.

Market Segmentation

By Utility Type

The Utility Type in the market includes Public Utility and Private Utility.

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By Component

The Component in the market includes Hardware and Software.

By Application

The Application in the market includes Transformer, Sub-Station, Transmission, and Distribution Lines.


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Utility Asset Management Market Regional Insights

North America is the largest market for Utility Asset Management due to the region’s high adoption of smart grid technologies and digital infrastructure. The Asia-Pacific region is expected to witness significant growth in the market due to the rising investments in renewable energy sources and the growing focus on energy efficiency. Europe is also expected to witness significant growth in the market due to the region’s high adoption of smart grid technologies and the increasing investments in renewable energy sources.

Related Reports:

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Plant Asset Management Market Research Report Information Information by Offering, by Deployment Mode, by Asset Type, by End-User, by Region – Global Forecast till 2030      

About Market Research Future:

Market Research Future (MRFR) is a global market research company that takes pride in its services, offering a complete and accurate analysis regarding diverse markets and consumers worldwide. Market Research Future has the distinguished objective of providing the optimal quality research and granular research to clients. Our market research studies by products, services, technologies, applications, end users, and market players for global, regional, and country level market segments, enable our clients to see more, know more, and do more, which help answer your most important questions.

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ResourceWise Brings Its Cross-Commodity Data and Analytics Expertise to New Oleochemicals Service

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ResourceWise has met a key milestone in providing cross-commodity price benchmarks, data, and analysis on chemicals, forest products, and decarbonization markets. 
CHARLOTTE, N.C., June 24, 2024 /PRNewswire/ — ResourceWise has met a key milestone in providing cross-commodity price benchmarks, data, and analysis on chemicals, forest products, and decarbonization markets. 

For the first time, one digital product encompasses expertise that spans all the key commodity sectors that ResourceWise covers. Dedicated to renewable feedstock, the new platform-based oleochemicals analysis and insight tools draw on decades of experience within each distinct business sector. 
Dwight Lynch, Biomaterials Business Manager at ResourceWise, is leading the transition towards data and insight on renewable intermediates and biobased and biodegradable polymer inputs. 
“Navigating oleochemicals markets at a time when regulation, legislation, and competition from renewable fuels markets are the key drivers is a challenge. Our new service offers pricing and analysis that informs decision-makers and allows sustainable business to thrive.” 
The new oleochemicals portal in ResourceWise’s flagship chemicals market intelligence platform, OrbiChem360, has evolved beyond its legacy biomaterials insights to focus on the fats and oils markets that are key to sustainability.  
It presents pricing data and analysis that ResourceWise biomaterials experts have furnished within OrbiChem360 this past decade and includes a crude tall oil (CTO) price index. The inclusion of a forest-based output introduces the ResourceWise platform FisherSolve’s pulp and paper industry insight to our portfolio. 
Pete Stewart, the CEO of ResourceWise, is focused on the future. “From raw material converters to end-use consumer goods producers, manufacturing value chain participants are increasingly seeking cross-commodity insights to meet low-carbon targets. We are building and providing the data and analytics businesses need to achieve environmental, social, and governance (ESG) targets and market products competitively worldwide.  
“The ResourceWise mission is to use the intelligence within the increasingly inter-related business sectors we have harnessed to guide customers in their journey toward a net-zero future. This new offering is the first of many milestones in our endeavor to do just that,” adds Stewart.  
A Streamlined Renewable Chemicals Service  
The new product leverages oleochemical pricing and commentary gathered by ResourceWise legacy brands since 2014 and insight collected since the 1990s. It extends our regional reach with additional price points and streamlines the data and analytics provided.  
The new portal is designed with personal care, cosmetics, detergents, lubricants, pharmaceuticals, flavor and fragrance, and food and beverage market participants in mind. However, it provides pricing data and insights for producers, intermediaries, and consumer product manufacturers in broader industries. 
More Than Forty Current and Historical Prices          
International price indexes for oleochemicals include the feedstocks soybean, coconut, tall, rapeseed, and palm oils, as well as tallow and glycerine grades Dozens of spot and contract prices for fatty acids and fatty alcohols plus comprehensive commentary based on intelligence from a worldwide contact base       Low-carbon price benchmarks and commentary in our oleochemicals offering will increasingly leverage intelligence on the biofuels sector within the Prima CarbonZero platform      Global Trade Flow graphics for all oils and tallow to help customers understand how key plant and animal-based feedstocks are traded globally to identify new markets and sources   Industry experts contextualize data, making it actionable, and respond personally to customer inquiries By bridging information gaps in the chemicals market, OrbiChem360 subscribers gain a competitive edge in volatile markets. The platform provides decision makers with robust, data-driven insight that unravels market trends so they can harness growth opportunities. For more information on the OrbiChem360 platform, visit the ResourceWise OrbiChem360 page. 
CONTACT:
Contact:Suz-Anne Kinney          Vice President, Marketing & Communications at [email protected]  +1 (980) 233-4021
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AI Vulnerability Scanning market Size to Grow USD 7,574.30 Million by 2030 at a CAGR of 13.52% | Valuates Reports

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BANGALORE, India, June 24, 2024 /PRNewswire/ — AI Vulnerability Scanning market is Segmented by Type (On-premises, Cloud-Based), by Application (SMEs, Large Enterprise): Global Opportunity Analysis and Industry Forecast, 2024-2030.

The global AI Vulnerability Scanning market was valued at USD 3121.56 million in 2023 and is anticipated to reach USD 7,574.30 million by 2030, witnessing a CAGR of 13.52% during the forecast period 2024-2030.
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 Major Factors Driving the Growth of AI Vulnerability Scanning Market:
The market for AI vulnerability assessment is being pushed by the growing requirement for strong cybersecurity defenses against increasingly complex and dynamic cyberthreats. AI-specific vulnerabilities are becoming more likely as organizations use machine learning (ML) and artificial intelligence (AI) more extensively, which calls for the use of specialized scanning solutions. AI vulnerability scanners use cutting-edge algorithms to find and fix security flaws in AI models, shielding against criminal activity, data breaches, and adversarial attacks. The demand for AI vulnerability screening tools is being driven primarily by the increasing awareness of AI security concerns, regulatory constraints for strict data protection, and the integration of AI across multiple sectors, including banking, healthcare, and automotive. Furthermore, improvements in AI and ML methods boost these scanning solutions’ efficacy and propel the market forward.
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TRENDS INFLUENCING THE GROWTH OF THE AI VULNERABILITY SCANNING MARKET
Because cloud-based AI vulnerability scanning provides scalable, effective, and all-encompassing security solutions, it is driving the growth of the AI vulnerability scanning market in major companies. By constantly monitoring and analyzing enormous volumes of data across enterprise networks, these cloud-based systems make use of cutting-edge AI algorithms to spot possible vulnerabilities in real time. Large businesses can effectively manage security across different and complex IT infrastructures thanks to the flexibility and scalability of cloud solutions, which guarantees strong defense against constantly changing cyber threats. Furthermore, cloud-based platforms’ centralized architecture makes it simpler to integrate and upgrade with pre-existing security frameworks, which improves overall resiliency. The market is expanding significantly as a result of large organizations prioritizing cybersecurity and the increased need for advanced, AI-driven vulnerability detection solutions.
The market for AI vulnerability scanning is primarily driven by the rise in complex cyberthreats. Organizations are becoming more cognizant of the necessity for sophisticated security measures as cyber threats escalate in complexity and frequency. When it comes to identifying and countering these contemporary threats, traditional vulnerability scanning techniques frequently fall short. Real-time detection and prediction analysis capabilities are provided by AI-powered vulnerability scanning solutions, which can detect possible security breaches before they happen. Organizations must make significant investments in AI-based security solutions in order to preserve business continuity and protect critical data.
One major element propelling the market expansion for AI vulnerability scanning is regulatory compliance. Tight laws are being passed by governments and business associations across the globe to guarantee cybersecurity and data security. Sufficient observance of regulations like GDPR, HIPAA, and CCPA necessitates ongoing security vulnerability reporting and monitoring. AI vulnerability scanning systems offer thorough and automated security assessments, which assist enterprises in meeting these legal obligations. This ability not only guarantees compliance but also lowers the possibility of fines and harm to one’s reputation, which motivates more companies to choose AI-powered security solutions.
Another important element propelling the market for AI vulnerability scanning is cost effectiveness. Conventional security methods are resource-intensive and can require a large amount of manual effort, which raises operational costs. The identification and mitigation of security threats are automated by AI-powered vulnerability scanning solutions, which minimizes the need for significant human participation. Organizations save a significant amount of money because of this automation, especially big businesses with sophisticated IT infrastructures. Furthermore, early vulnerability detection reduces the possible financial effect of cyberattacks, which makes AI-driven solutions a financially viable choice for companies.
The market for AI vulnerability scanning is expanding due in large part to the need for real-time threat identification. Real-time security threat detection and response is essential in today’s fast-paced digital world. Artificial intelligence (AI)-driven vulnerability scanning solutions enable businesses to quickly respond to possible threats by offering continuous monitoring and instantaneous analysis of security weaknesses. Reducing the effects of cyberattacks and preserving the integrity of vital systems depend on this real-time detection capabilities. Adoption of AI-based security solutions is driven by the increased requirement for quick reaction to threats.
The market for AI vulnerability screening is being driven by several factors, including increased accuracy and precision. Conventional vulnerability scanning techniques can miss subtle security risks and generate false positives. On the other hand, AI-powered products use sophisticated analytics and machine learning algorithms to pinpoint vulnerabilities extremely precisely. This lowers the quantity of false alarms and guarantees that serious dangers are dealt with right away. Because AI-driven solutions are more accurate, security measures are more effective overall, which is why businesses looking for dependable and all-inclusive vulnerability management choose them.
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AI VULNERABILITY SCANNING MARKET SHARE ANALYSIS
The market for AI vulnerability scanning is dominated by North America because of the region’s strong emphasis on cybersecurity and technical improvements. Because there are so many tech businesses, financial institutions, and government organizations in the US that need to implement strong cybersecurity measures, the country is a big participant in this space. The development and uptake of sophisticated vulnerability scanning solutions are aided by the presence of significant AI and cybersecurity companies in the area. The industry is additionally driven by strict regulatory requirements, such as those imposed by the Health Insurance Portability and Accountability Act (HIPAA) and the Federal Information Security Management Act (FISMA), which force firms to install extensive security measures. The increased frequency of cyberattacks in North America emphasizes the necessity for sophisticated AI-powered security measures.
Key Players:
European UnionCRYPTTECHSecPointTheSmartScannerSecureWorksCybotsCyber OrionImmuniWeb SAVertaHuawei CloudFreeBufAlibaba CloudIBMGoogle CloudBARUTUAmazon AWSPurchase Regional Data: https://reports.valuates.com/request/regional/QYRE-Auto-12L15782/Global_AI_Vulnerability_Scanning_Market_Research_Report_2023
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Timekettle Announces HybridComm 3.0 Upgrade, Marking a New Era in Near-human-level AI Translation Technology

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SHENZHEN, China, June 24, 2024 /PRNewswire/ — Timekettle is excited to announce the release of its latest software upgrade, the AI Semantic Segmentation. Powered by Timekettle’s cutting-edge TurboFast Technology under HybridComm 3.0, the AI Semantic Segmentation sets a new standard in real-time language translation, solidifying Timekettle’s position as the expert in AI translator earbuds.

As the pioneer and innovator in cross-language communication solutions, Timekettle has relentlessly advanced the field through innovative products, marking a significant chapter in AI translation devices. Initially offering handheld translators for simple exchanges, Timekettle’s breakthrough came with the WT2 Plus Translator Earbuds, featuring HybridComm 1.0 for seamless, one-way translation and a speaker mode for broader communication. The subsequent launch of the WT2 Edge Real-time Translator Earbuds, with HybridComm 2.0, enabled natural, bidirectional conversations. The latest advancement, powered by HybridComm 3.0 featuring the AI Semantic Segmentation, significantly enhances translation efficiency and accuracy, marking a new era in near-human-level AI translation technology.
Leveraging the advanced TurboFast Technology, the AI Semantic Segmentation ensures a seamless and instant translation experience, helping the translated speech align perfectly with the speaker’s rhythm, and eradicating the issue of delayed translated output in crucial communication scenarios. It begins by grasping the core meaning of sentences. Once it aligns closely with the “entirely correct” benchmark, it begins translating while still processing the original voice, allowing users to hear the translated audio sooner.
Thanks to the AI Semantic Segmentation, the delay in receiving translated audio has been reduced by 200%, bringing its real-time translation capabilities on par with live interpretation. Internal test conducted recently revealed that with the AI Semantic Segmentation, a translated speech only delays a sentence lag time, while other traditional speech translation devices may experience significant delays of 30 to 40 seconds.
This significant reduction, cutting over 20 seconds of waiting time, has revolutionized continuous communication. Picture being at a conference room where attendees can instantly hear the translation of a sentence right as the speaker starts the next. Such a seamless flow of communication marks a new era of cross-language interaction, paving the way for a more connected world.
The AI Semantic Segmentation is now available on Timekettle WT2 Edge Real-time Translator Earbuds, M3 Language Translator Earbuds, and X1 AI Interpreter Hub (One-on-one mode, Listen & Play mode, and Ask & Go mode for now; Voice Call mode and more starting June 28th) and upon installing the latest software update for existing users. 
About Timekettle
Established in 2016, Timekettle is dedicated to advancing cross-language communication through innovative products and solutions. Recognized with numerous international accolades, including the CES Innovation Award, iF Design Award, and Japan Good Design Award, Timekettle’s products have proudly served the needs of cross-language communication in a variety of user scenarios, including abroad-living, traveling, multi-language meetings and classrooms, as well as in manufacturing and logistics, and beyond. Having solidified a user database of more than 400,000, Timekettle continues its journey as the Global No.1 AI Translator Device.
For further information, please visit https://www.timekettle.co/ or contact [email protected]
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