What Is Holding Up AI Adoption for Businesses? New EPAM Study Reveals Key Findings
EPAM Systems (NYSE: EPAM) has released a comprehensive AI research report based on a survey of 7,300 participants across nine countries and eight industries. The study reveals a significant gap in enterprise AI adoption, with only 26% of self-proclaimed advanced companies successfully delivering AI use cases to market, despite 49% rating themselves as 'advanced'.
Key findings show companies plan to increase AI spending by 14% year-over-year in 2025. While 30% of tech-advanced companies have implemented AI at scale, many struggle with enterprise-wide deployment. Notably, market leaders (disruptors) attribute 53% of their expected 2025 profits to AI investments.
The report identifies four critical areas for successful AI adoption: people and culture, business modernization, security, and governance. Companies anticipate an 18-month minimum timeline to implement effective AI governance models, with 43% planning to hire AI-related roles throughout 2025.
EPAM Systems (NYSE: EPAM) ha pubblicato un dettagliato rapporto di ricerca sull'intelligenza artificiale basato su un sondaggio condotto su 7.300 partecipanti in nove paesi e otto settori industriali. Lo studio evidenzia un significativo divario nell'adozione dell'IA nelle aziende, con solo il 26% delle imprese che si definiscono avanzate in grado di portare con successo casi d'uso di IA sul mercato, nonostante il 49% si consideri 'avanzato'.
I risultati principali mostrano che le aziende prevedono di aumentare la spesa per l'IA del 14% anno su anno nel 2025. Mentre il 30% delle aziende tecnologicamente avanzate ha implementato l'IA su larga scala, molte incontrano difficoltà nella diffusione a livello aziendale. In particolare, i leader di mercato (disruptor) attribuiscono al 53% dei loro profitti previsti per il 2025 gli investimenti in IA.
Il rapporto individua quattro aree critiche per un'adozione efficace dell'IA: persone e cultura, modernizzazione del business, sicurezza e governance. Le aziende prevedono un tempo minimo di 18 mesi per implementare modelli efficaci di governance dell'IA, con il 43% che pianifica di assumere figure professionali legate all'IA durante tutto il 2025.
EPAM Systems (NYSE: EPAM) ha publicado un informe exhaustivo sobre investigación en inteligencia artificial basado en una encuesta a 7.300 participantes en nueve países y ocho industrias. El estudio revela una brecha significativa en la adopción empresarial de IA, con solo el 26% de las empresas que se consideran avanzadas logrando implementar casos de uso de IA en el mercado, a pesar de que el 49% se califican como 'avanzadas'.
Los hallazgos clave muestran que las empresas planean aumentar el gasto en IA en un 14% interanual en 2025. Aunque el 30% de las empresas tecnológicamente avanzadas han implementado IA a gran escala, muchas enfrentan dificultades en el despliegue a nivel empresarial. Destaca que los líderes del mercado (disruptores) atribuyen el 53% de sus ganancias esperadas para 2025 a inversiones en IA.
El informe identifica cuatro áreas críticas para una adopción exitosa de IA: personas y cultura, modernización empresarial, seguridad y gobernanza. Las empresas anticipan un plazo mínimo de 18 meses para implementar modelos efectivos de gobernanza de IA, con un 43% planeando contratar roles relacionados con IA durante todo 2025.
EPAM Systems (NYSE: EPAM)는 9개국 8개 산업에 걸쳐 7,300명의 참가자를 대상으로 한 설문조사를 기반으로 한 종합적인 AI 연구 보고서를 발표했습니다. 연구 결과에 따르면, 스스로를 '고급'이라 평가하는 기업이 49%임에도 불구하고, AI 활용 사례를 시장에 성공적으로 도입한 기업은 26%에 불과해 기업 내 AI 도입에 큰 격차가 있음을 보여줍니다.
주요 결과로는 기업들이 2025년에 AI 지출을 전년 대비 14% 증가시킬 계획이라는 점이 있습니다. 기술 선도 기업의 30%는 AI를 대규모로 도입했으나, 많은 기업이 전사적 배포에 어려움을 겪고 있습니다. 특히 시장 선도자(파괴자)들은 2025년 예상 수익의 53%를 AI 투자에서 기대하고 있습니다.
보고서는 성공적인 AI 도입을 위한 네 가지 핵심 영역으로 사람과 문화, 비즈니스 현대화, 보안, 거버넌스를 꼽았습니다. 기업들은 효과적인 AI 거버넌스 모델을 구현하는 데 최소 18개월이 걸릴 것으로 예상하며, 43%는 2025년 내내 AI 관련 인력을 채용할 계획입니다.
EPAM Systems (NYSE : EPAM) a publié un rapport de recherche complet sur l'IA basé sur une enquête menée auprès de 7 300 participants dans neuf pays et huit secteurs d'activité. L'étude révèle un écart significatif dans l'adoption de l'IA en entreprise, avec seulement 26 % des entreprises se déclarant avancées réussissant à déployer des cas d'usage IA sur le marché, malgré 49 % qui se considèrent comme « avancées ».
Les principales conclusions montrent que les entreprises prévoient d'augmenter leurs dépenses en IA de 14 % d'une année sur l'autre en 2025. Alors que 30 % des entreprises technologiquement avancées ont déployé l'IA à grande échelle, beaucoup rencontrent des difficultés pour un déploiement à l'échelle de l'entreprise. Notamment, les leaders du marché (disrupteurs) attribuent 53 % de leurs bénéfices attendus en 2025 à leurs investissements en IA.
Le rapport identifie quatre domaines critiques pour une adoption réussie de l'IA : les personnes et la culture, la modernisation des entreprises, la sécurité et la gouvernance. Les entreprises anticipent un délai minimum de 18 mois pour mettre en place des modèles efficaces de gouvernance de l'IA, 43 % prévoyant de recruter des profils liés à l'IA tout au long de l'année 2025.
EPAM Systems (NYSE: EPAM) hat einen umfassenden KI-Forschungsbericht veröffentlicht, der auf einer Umfrage unter 7.300 Teilnehmern aus neun Ländern und acht Branchen basiert. Die Studie zeigt eine erhebliche Lücke bei der Einführung von KI in Unternehmen: Nur 26 % der selbst als fortschrittlich eingestuften Unternehmen bringen KI-Anwendungsfälle erfolgreich auf den Markt, obwohl 49 % sich selbst als „fortgeschritten“ bewerten.
Wesentliche Erkenntnisse zeigen, dass Unternehmen planen, ihre KI-Ausgaben im Jahr 2025 um 14 % im Jahresvergleich zu erhöhen. Während 30 % der technologisch fortgeschrittenen Unternehmen KI im großen Maßstab implementiert haben, haben viele Schwierigkeiten bei der unternehmensweiten Einführung. Marktführer (Disruptoren) schreiben bemerkenswerterweise 53 % ihres erwarteten Gewinns für 2025 ihren KI-Investitionen zu.
Der Bericht identifiziert vier kritische Bereiche für eine erfolgreiche KI-Einführung: Menschen und Kultur, Geschäftsmodernisierung, Sicherheit und Governance. Unternehmen rechnen mit einer mindestens 18-monatigen Umsetzungszeit für effektive KI-Governance-Modelle, wobei 43 % planen, im Laufe des Jahres 2025 KI-bezogene Stellen zu besetzen.
- Survey reveals strong AI investment growth with 14% YoY increase planned for 2025
- Market leaders expect 53% of 2025 profits from AI investments
- 43% of companies planning to hire AI-related roles in 2025
- 30% of tech-advanced companies successfully implementing AI at scale
- Only 26% of self-proclaimed advanced companies actually delivered AI use cases to market
- Minimum 18-month delay expected for implementing AI governance frameworks
- Only 4% of disruptors have developed comprehensive governance frameworks
- 31% of executives hindered by outdated technology for AI adoption
From modernizing outdated technology to implementing responsible AI governance, report examines the key factors driving enterprise AI success in 2025 and beyond
The study reveals a notable disconnect between perception and reality in enterprise AI adoption among respondents from the
"Following the release of ChatGPT and throughout 2023 and 2024, we witnessed companies across industries experiment with AI and develop proofs of concept, primarily targeting immediate gains in productivity improvements and operational efficiencies," said Elaina Shekhter, Chief Marketing and Strategy Officer, EPAM. "This new research clearly shows that we're now entering a new phase where success depends on identifying high-value use cases and prioritizing them strategically to achieve broad organizational impact. Enterprises that can effectively align their talent, data and technology around these priority use cases will be the ones that actually deploy AI to scale and capture business value from their AI investments in 2025 and beyond."
Key findings from the report include:
- Acceleration of AI investments: Companies plan to increase their AI spending by
14% year-over-year in 2025, signalling a continued commitment to AI-driven growth. - Scaling AI remains a challenge: While
30% of technology-advanced companies have successfully implemented AI at scale, many organizations struggle to bridge the gap between experimentation and enterprise-wide deployment. - AI's direct impact on business: Disruptors attribute
53% of their expected 2025 profits to AI investments, which demonstrates a tangible financial impact for the market leaders. - Governance and security trail AI growth: Businesses anticipate a minimum of 18 months to implement effective AI governance models, highlighting the complexity of aligning AI with the rapidly evolving regulatory landscape.
- AI talent remains a priority:
43% of all companies surveyed plan to hire AI-related roles throughout 2025, with machine learning engineers and AI researchers being the most in-demand positions.
"Improved productivity and operational efficiency are universal goals, but true transformation lies in bridging the gap between tech teams and the business," said Dmitry Tovpeko, VP, Engineering, EPAM. "As AI reshapes the enterprise, developers are evolving from task-oriented users to strategic experts, responsibly harnessing AI for end-to-end scenarios. Success hinges not on tech stacks or cloud infrastructure, but on aligning tech teams with business objectives to solve real-world customer problems."
To realize the full potential of AI, the report highlights the importance of aligning people, data and technology to unlock real business value and identifies four critical areas for the successful adoption of AI:
- People, processes and culture: Effective AI implementation requires strong executive leadership that clearly articulates priorities and focus areas. In fact, the data reveals that
65% of disruptors understand the necessary skills for AI adoption. - Business and technology modernization: While
31% of executives see outdated technology as a barrier to AI adoption, the real challenge is the lack of alignment between business and technical teams. Once a clear organizational purpose is established and communicated, engineering teams can then map out a modernization strategy. - Security: Security remains a universal priority for senior executives and engineering teams, particularly regarding data protection, data quality and cloud security, with
35% of businesses saying their top challenge to achieving modernization is their lack of sophisticated security programs. - Governance and responsible AI: While
75% of advanced companies claim to have established clear AI strategies, only4% of disruptors say they have developed comprehensive governance frameworks even with the understanding that effective governance is typically 18 months away.
According to Forrester, in its Predictions 2025: Artificial Intelligence report, 2025 will bring a renewed focus on strategy, deepened partnerships between business and IT, a pivot back to predictive AI, and new technologies and architectures as enterprises govern data and AI together.
"In 2023, the race to harness AI saw many experimenting, but a select group of pioneers emerged, transforming bold ideas into scalable realities," said Nir Kaldero, Chief AI Officer, EPAM NEORIS. "These leaders see challenges as opportunities, regulations as non-negotiables and uncharted territories as spaces for innovation. The next phase of AI is not just experimentation but deployment at scale—focusing on enterprise-wide, high-impact use cases while continuing the effort to align people and culture, data and cloud and new processes to unlock true exponential business value."
The report concludes that organizations must now align AI with their business objectives rather than adapting business goals to fit AI capabilities. Success in this new phase requires companies to evolve beyond implementing AI solely for productivity gains and operational efficiencies. To gain a competitive advantage, forward-thinking enterprises must leverage AI strategically across their entire value chain to drive revenue growth and enhance customer experience.
The full report includes detailed insights and practical recommendations for enterprises at different stages of their AI journey.
To read the full 2025 Artificial Intelligence Report, visit: www.epam.com/ai-report-2025.
Methodology
The data published in this report is based on a survey of 7,300 respondents from enterprises with headcounts of 10,000+ evenly split across the C-Suite and Vice President level as well as engineers and developers spanning nine countries (the
About EPAM Systems
Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has used its software engineering expertise to become a leading global provider of digital engineering, cloud and AI-enabled transformation services, and a leading business and experience consulting partner for global enterprises and ambitious startups. We address our clients' transformation challenges by focusing EPAM Continuum's integrated strategy, experience and technology consulting with our 30+ years of engineering execution to speed our clients' time to market and drive greater value from their innovations and digital investments.
We leverage AI and GenAI to deliver transformative solutions that accelerate our clients' digital innovation and enhance their competitive edge. Through platforms like EPAM AI/RUN™ and initiatives like DIALX Lab, we integrate advanced AI technologies into tailored business strategies, driving significant industry impact and fostering continuous innovation.
We deliver globally but engage locally with our expert teams of consultants, architects, designers and engineers, making the future real for our clients, our partners, and our people around the world. We believe the right solutions are the ones that improve people's lives and fuel competitive advantage for our clients across diverse industries. Our thinking comes to life in the experiences, products and platforms we design and bring to market.
Added to the S&P 500 and the Forbes Global 2000 in 2021 and recognized by Glassdoor and Newsweek as Most Loved Workplace, our multidisciplinary teams serve customers across six continents. We are proud to be among the top 15 companies in Information Technology Services in the Fortune 1000 and to be recognized as a leader in the IDC MarketScapes for Worldwide Experience Build Services, Worldwide Experience Design Services and Worldwide Software Engineering Services.
Learn more at www.epam.com and follow us on LinkedIn.
Forward-Looking Statements
This press release includes estimates and statements which may constitute forward-looking statements made pursuant to the safe harbor provisions of the Private Securities Litigation Reform Act of 1995, the accuracy of which are necessarily subject to risks, uncertainties, and assumptions as to future events that may not prove to be accurate. Our estimates and forward-looking statements are mainly based on our current expectations and estimates of future events and trends, which affect or may affect our business and operations. These statements may include words such as "may," "will," "should," "believe," "expect," "anticipate," "intend," "plan," "estimate" or similar expressions. Those future events and trends may relate to, among other things, developments relating to the war in
View original content to download multimedia:https://www.prnewswire.com/news-releases/what-is-holding-up-ai-adoption-for-businesses-new-epam-study-reveals-key-findings-302429687.html
SOURCE EPAM Systems, Inc.
FAQ
What percentage of companies plan to increase their AI investments in 2025 according to EPAM's study?
How many participants were included in EPAM's 2025 AI adoption study?
What percentage of companies have successfully implemented AI at scale according to EPAM's research?
How long do businesses expect it will take to implement effective AI governance models?
What percentage of profits do AI market leaders attribute to their AI investments for 2025?
