Legacy Technology Unlikely To Impede the Quest for Artificial Intelligence and Machine Learning Gains, Finds New Global Study
Eaton's new global study reveals companies are increasingly willing to abandon legacy technologies to adopt AI and machine learning. The research shows only 23% of companies now view legacy technology as a digitalization barrier, down from 33% in 2022. Key sector findings include: data centers focusing on facility upgrades (42.3%) and capacity expansion (38.6%); utilities expecting significant grid capacity increases; manufacturers seeing AI as key for decarbonization (66%); and building operators planning to install management systems for energy optimization. The study, conducted by S&P Global Market Intelligence, surveyed digital transformation leaders across data center, utilities, buildings, and manufacturing sectors in North America, Europe, and Middle East.
Il nuovo studio globale di Eaton rivela che le aziende sono sempre più disposte ad abbandonare le tecnologie legacy per adottare AI e machine learning. La ricerca mostra che solo il 23% delle aziende considera attualmente la tecnologia legacy un ostacolo alla digitalizzazione, in calo rispetto al 33% nel 2022. I risultati chiave per settore includono: centri dati concentrati sugli aggiornamenti delle strutture (42,3%) e sull'espansione della capacità (38,6%); servizi pubblici che si aspettano significativi aumenti della capacità della rete; produttori che vedono l'AI come chiave per la decarbonizzazione (66%); e operatori di edifici che pianificano di installare sistemi di gestione per l'ottimizzazione energetica. Lo studio, condotto da S&P Global Market Intelligence, ha intervistato i leader della trasformazione digitale nei settori dei centri dati, dei servizi pubblici, degli edifici e della manifattura in Nord America, Europa e Medio Oriente.
El nuevo estudio global de Eaton revela que las empresas están cada vez más dispuestas a abandonar las tecnologías heredadas para adoptar IA y aprendizaje automático. La investigación muestra que solo el 23% de las empresas ve ahora la tecnología heredada como una barrera para la digitalización, por debajo del 33% en 2022. Los resultados clave por sector incluyen: centros de datos centrados en mejoras de instalaciones (42,3%) y expansión de capacidad (38,6%); empresas de servicios públicos que esperan aumentos significativos en la capacidad de la red; fabricantes que consideran que la IA es clave para la descarbonización (66%); y operadores de edificios que planean instalar sistemas de gestión para la optimización energética. El estudio, realizado por S&P Global Market Intelligence, encuestó a líderes de transformación digital en los sectores de centros de datos, servicios públicos, edificios y fabricación en América del Norte, Europa y Medio Oriente.
이튼(Eaton)의 새로운 글로벌 연구에 따르면, 기업들은 점점 더 레거시 기술을 포기하고 인공지능(AI) 및 머신러닝을 채택할 용의가 높아지고 있습니다. 연구에 따르면 현재 오직 23%의 기업만이 레거시 기술을 디지털화의 장애물로 보고 있으며, 이는 2022년의 33%에서 감소한 수치입니다. 주요 섹터별 발견사항은 다음과 같습니다: 시설 업그레이드(42.3%) 및 용량 확장(38.6%)에 집중하는 데이터 센터; 상당한 전력망 용량 증가를 기대하는 유틸리티; 탈탄소화(66%)를 위한 핵심으로 AI를 보는 제조업체; 에너지 최적화를 위한 관리 시스템 설치를 계획하는 건물 운영자. S&P 글로벌 마켓 인텔리전스가 수행한 이번 연구는 북미, 유럽 및 중동의 데이터 센터, 유틸리티, 건물 및 제조 부문의 디지털 혁신 리더를 대상으로 설문조사를 진행했습니다.
La nouvelle étude mondiale d'Eaton révèle que les entreprises sont de plus en plus prêtes à abandonner les technologies vieillissantes pour adopter l'IA et l'apprentissage machine. La recherche montre que seulement 23% des entreprises considèrent désormais la technologie héritée comme un obstacle à la numérisation, en baisse par rapport à 33% en 2022. Les principales conclusions par secteur incluent : des centres de données se concentrant sur les améliorations d'infrastructure (42,3%) et l'expansion de la capacité (38,6%) ; des services publics s'attendant à des augmentations significatives de la capacité du réseau ; des fabricants voyant l'IA comme essentielle pour la décarbonisation (66%) ; et des opérateurs de bâtiment planifiant d'installer des systèmes de gestion pour l'optimisation énergétique. L'étude, menée par S&P Global Market Intelligence, a interrogé des leaders de la transformation numérique dans les secteurs des centres de données, des services publics, des bâtiments et de la fabrication en Amérique du Nord, en Europe et au Moyen-Orient.
Die neue globale Studie von Eaton zeigt, dass Unternehmen zunehmend bereit sind, von Legacy-Technologien abzusehen und Künstliche Intelligenz (KI) und maschinelles Lernen zu übernehmen. Die Forschung ergibt, dass nur 23% der Unternehmen die Legacy-Technologie derzeit als Hürde für die Digitalisierung betrachten, ein Rückgang von 33% im Jahr 2022. Zu den wichtigsten Ergebnissen je nach Sektor gehören: Datenzentren, die sich auf Anlagenaufrüstungen (42,3%) und Kapazitätserweiterungen (38,6%) konzentrieren; Versorgungsunternehmen, die signifikante Kapazitätssteigerungen im Stromnetz erwarten; Hersteller, die KI als Schlüssel zur Dekarbonisierung sehen (66%); und Gebäudebetreiber, die planen, Managementsysteme zur Energieoptimierung zu installieren. Die Studie, die von S&P Global Market Intelligence durchgeführt wurde, befragte Führungskräfte der digitalen Transformation in den Bereichen Datenzentren, Versorgungsunternehmen, Gebäude und Fertigung in Nordamerika, Europa und dem Nahen Osten.
- 10% reduction in companies viewing legacy technology as a barrier to digitalization
- 42.3% of data centers focusing on facility upgrades
- 38.6% of data centers expanding capacity
- 66% of manufacturers see AI potential for decarbonization and ESG improvement
- 54% of large building owners planning to install management systems within next year
- Strong revenue performance with $23.2 billion reported in 2023
- 55% of utilities struggling with outdated infrastructure
- 40% of utilities predict significant grid capacity strain in next 10 years
Insights
The study reveals significant shifts in enterprise attitudes towards AI adoption, with notable implications for Eaton's market position. The
The utilities sector's infrastructure challenges and anticipated capacity growth create substantial opportunities for Eaton's Brightlayer platform. Manufacturing's strong interest in AI for ESG improvements (
DUBLIN, IRELAND / ACCESSWIRE / November 19, 2024 / Companies are increasingly willing to relinquish legacy technologies to reap the benefits associated with artificial intelligence (AI) and machine learning (ML), according to a new study commissioned by Eaton, a global leader in intelligent power management.
Eaton commissioned S&P Global Market Intelligence to survey digital transformation leaders from the data center, utilities, buildings and manufacturing sectors in North America, Europe and the Middle East. The findings of the study, detailed in the second Eaton Brightlayer® research report, show that digitalization strategies are being developed quickly in these sectors.
Fewer than one-in-four companies (
Mark Roces, vice-president of digital offer management at Eaton, said: "This research shows how urgently businesses want to implement digital technologies that deliver the benefits of AI and ML. The data center sector is clearly going to be instrumental in this shift because the utility, commercial building and manufacturing sectors will depend on data centers to underpin their AI journeys. Digitalization will also help these sectors deliver on the decarbonization strategies required by regulations, many of which have been introduced in support of the UN's 2050 net zero target."
Top findings in each sector are as follows:
Data centers are scaling up to meet growing demand and are focusing on facility upgrades (
42.3% ); expanding capacity (38.6% ); and improving IT asset performance utilization (32.8% ).Utilities are under pressure because while
55% point to outdated infrastructure as their biggest problem, they expect grid capacity requirements to rise significantly over the next 10 years, with40% predicting extra capacity requirements of up to49% .Manufacturers believe AI could facilitate decarbonization and boost their environmental, sustainability and governance (ESG) scores (
66% ), as well as improve electrical energy monitoring and optimization (55% ) and enhance digital twin (68% ) and predictive maintenance applications (64% ).Building operators are focusing on digital transformation to help them achieve sustainability targets (upwards of
46% ), with most large building owners (54% ) planning to install building management systems within the next year to help them optimize energy use, and many seeing AI as a future tool to help them predict space utilization (66% ).
Eaton's Brightlayer software makes it easier for businesses to embrace digitalization and drive operational value by leveraging intelligent, actionable insights from their data. Brightlayer combines Eaton's deep domain knowledge with AI, ML and big data processing to support efficient real-time decision-making to optimize power management.
A free download of the Eaton's 2024 Brightlayer research report is available here: Adoption, execution and expansion of digital transformation in the wake of AI, together with more information about the strategies that businesses can adopt to be better prepared for the digital future.
Eaton is an intelligent power management company dedicated to protecting the environment and improving the quality of life for people everywhere. We make products for the data center, utility, industrial, commercial, machine building, residential, aerospace and mobility markets. We are guided by our commitment to do business right, to operate sustainably and to help our customers manage power ─ today and well into the future. By capitalizing on the global growth trends of electrification and digitalization, we're accelerating the planet's transition to renewable energy sources, helping to solve the world's most urgent power management challenges, and building a more sustainable society for people today and generations to come.
Eaton was founded in 1911 and has been listed on the New York Stock Exchange for more than a century. We reported revenues of
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FAQ
What percentage of companies see legacy technology as a barrier to digitalization in Eaton's 2024 study?
What percentage of data centers are focusing on facility upgrades according to Eaton's research?
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