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Наталя ХандусенкоAI Eng
11 February 2025, 13:26
2025-02-11
Investment in AI will grow by 104% in 2025, study shows. Business named the main obstacles to the implementation of the technology
A new IDC AInomics study, which surveyed more than 600 business leaders from leading companies, found that AI investment will grow at least threefold by 2025, accounting for one-fifth of companies’ total budgets. Generative AI will be a key driver of investment.
A new IDC AInomics study, which surveyed more than 600 business leaders from leading companies, found that AI investment will grow at least threefold by 2025, accounting for one-fifth of companies’ total budgets. Generative AI will be a key driver of investment.
About the research
The IDC study , supported by Lenovo, was conducted in the EMEA region, which includes Europe, the Middle East and Africa, and surveyed 620 business leaders from leading companies.
The results of the responses showed:
94% of AI projects met or exceeded company expectations;
72% of enterprises looking to scale AI initiatives plan to use professional AI services.
This result will contribute to a 104% increase in projected investment in AI next year.
Statistics also show that more and more companies are seeing tangible benefits of AI for business.
The main direction of investment is generative AI
As AI investment increases, so do priorities. Generative AI will become a key development direction over the next 12 months, with its share increasing almost fourfold, from 12% to 44%.
Among other AI technologies, the largest area of investment over the past year has been in applications with embedded AI. Companies are now focusing their spending on developing and managing AI models — 32%.
Obstacles to AI implementation
Despite the optimistic sentiment, respondents also highlighted challenges their companies faced when implementing AI, with scaling difficulties (30%) and data quality issues (29%) being the main ones.
To overcome these obstacles, respondents point to four key aspects:
data sovereignty and compliance with legal requirements;
ease of integrating AI with existing systems and processes;
training and advanced training of employees;
availability of qualitative data.
Hybrid infrastructure is the key to AI
When it comes to hardware, 65% of companies in EMEA use on-premises or hybrid architecture, and only 18% prefer the public cloud.
In addition, 10% of organizations are already actively using AI-powered computers, 25% are testing them, and 65% are considering integration in the near future to maximize AI capabilities.
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