From modernizing outdated know-how to implementing accountable AI governance, report examines the important thing components driving enterprise AI success in 2025 and past
The research reveals a notable disconnect between notion and actuality in enterprise AI adoption amongst respondents from the
“Following the discharge of ChatGPT and all through 2023 and 2024, we witnessed corporations throughout industries experiment with AI and develop proofs of idea, primarily focusing on instant positive aspects in productiveness enhancements and operational efficiencies,” mentioned Elaina Shekhter, Chief Advertising and marketing and Technique Officer, EPAM. “This new analysis clearly reveals that we’re now coming into a brand new part the place success is determined by figuring out high-value use circumstances and prioritizing them strategically to realize broad organizational influence. Enterprises that may successfully align their expertise, information and know-how round these precedence use circumstances would be the ones that truly deploy AI to scale and seize enterprise worth from their AI investments in 2025 and past.”
Key findings from the report embrace:
- Acceleration of AI investments: Firms plan to extend their AI spending by
14% year-over-year in 2025, signalling a continued dedication to AI-driven development. - Scaling AI stays a problem: Whereas
30% of technology-advanced corporations have efficiently carried out AI at scale, many organizations wrestle to bridge the hole between experimentation and enterprise-wide deployment. - AI’s direct influence on enterprise: Disruptors attribute
53% of their anticipated 2025 income to AI investments, which demonstrates a tangible monetary influence for the market leaders. - Governance and safety path AI development: Companies anticipate a minimal of 18 months to implement efficient AI governance fashions, highlighting the complexity of aligning AI with the quickly evolving regulatory panorama.
- AI expertise stays a precedence:
43% of all corporations surveyed plan to rent AI-related roles all through 2025, with machine studying engineers and AI researchers being probably the most in-demand positions.
“Improved productiveness and operational effectivity are common objectives, however true transformation lies in bridging the hole between tech groups and the enterprise,” mentioned Dmitry Tovpeko, VP, Engineering, EPAM. “As AI reshapes the enterprise, builders are evolving from task-oriented customers to strategic consultants, responsibly harnessing AI for end-to-end eventualities. Success hinges not on tech stacks or cloud infrastructure, however on aligning tech groups with enterprise goals to resolve real-world buyer issues.”
To understand the total potential of AI, the report highlights the significance of aligning folks, information and know-how to unlock actual enterprise worth and identifies 4 crucial areas for the profitable adoption of AI:
- Individuals, processes and tradition: Efficient AI implementation requires sturdy government management that clearly articulates priorities and focus areas. Actually, the info reveals that
65% of disruptors perceive the mandatory abilities for AI adoption. - Enterprise and know-how modernization: Whereas
31% of executives see outdated know-how as a barrier to AI adoption, the true problem is the dearth of alignment between enterprise and technical groups. As soon as a transparent organizational goal is established and communicated, engineering groups can then map out a modernization technique. - Safety: Safety stays a common precedence for senior executives and engineering groups, notably concerning information safety, information high quality and cloud safety, with
35% of companies saying their high problem to reaching modernization is their lack of refined safety applications. - Governance and accountable AI: Whereas
75% of superior corporations declare to have established clear AI methods, solely4% of disruptors say they’ve developed complete governance frameworks even with the understanding that efficient governance is often 18 months away.
In keeping with Forrester, in its Predictions 2025: Synthetic Intelligence report, 2025 will deliver a renewed give attention to technique, deepened partnerships between enterprise and IT, a pivot again to predictive AI, and new applied sciences and architectures as enterprises govern information and AI collectively.
“In 2023, the race to harness AI noticed many experimenting, however a choose group of pioneers emerged, remodeling daring concepts into scalable realities,” mentioned Nir Kaldero, Chief AI Officer, EPAM NEORIS. “These leaders see challenges as alternatives, laws as non-negotiables and uncharted territories as areas for innovation. The subsequent part of AI is not only experimentation however deployment at scale—specializing in enterprise-wide, high-impact use circumstances whereas persevering with the hassle to align folks and tradition, information and cloud and new processes to unlock true exponential enterprise worth.”
The report concludes that organizations should now align AI with their enterprise goals fairly than adapting enterprise objectives to suit AI capabilities. Success on this new part requires corporations to evolve past implementing AI solely for productiveness positive aspects and operational efficiencies. To achieve a aggressive benefit, forward-thinking enterprises should leverage AI strategically throughout their whole worth chain to drive income development and improve buyer expertise.
The total report consists of detailed insights and sensible suggestions for enterprises at completely different levels of their AI journey.
To learn the total 2025 Synthetic Intelligence Report, go to: www.epam.com/ai-report-2025.
Methodology
The information printed on this report relies on a survey of seven,300 respondents from enterprises with headcounts of 10,000+ evenly break up throughout the C-Suite and Vice President degree in addition to engineers and builders spanning 9 nations (the
About EPAM Programs
Since 1993, EPAM Programs, Inc. (NYSE: EPAM) has used its software program engineering experience to develop into a number one international supplier of digital engineering, cloud and AI-enabled transformation companies, and a number one enterprise and expertise consulting associate for international enterprises and bold startups. We handle our purchasers’ transformation challenges by focusing EPAM Continuum’s built-in technique, expertise and know-how consulting with our 30+ years of engineering execution to hurry our purchasers’ time to market and drive larger worth from their improvements and digital investments.
We leverage AI and GenAI to ship transformative options that speed up our purchasers’ digital innovation and improve their aggressive edge. Via platforms like EPAM AI/RUN™ and initiatives like DIALX Lab, we combine superior AI applied sciences into tailor-made enterprise methods, driving vital trade influence and fostering steady innovation.
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Ahead-Trying Statements
This press launch consists of estimates and statements which can represent forward-looking statements made pursuant to the protected harbor provisions of the Non-public Securities Litigation Reform Act of 1995, the accuracy of that are essentially topic to dangers, uncertainties, and assumptions as to future occasions that won’t show to be correct. Our estimates and forward-looking statements are primarily primarily based on our present expectations and estimates of future occasions and tendencies, which have an effect on or could have an effect on our enterprise and operations. These statements could embrace phrases reminiscent of “could,” “will,” “ought to,” “consider,” “anticipate,” “anticipate,” “intend,” “plan,” “estimate” or comparable expressions. These future occasions and tendencies could relate to, amongst different issues, developments regarding the battle in
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