Global spending on generative AI is projected to reach $644 billion in 2025, driven by significant investments in hardware, software, and enterprise IT adoption.
Gen AI Spending in Enterprise IT for 2025
According to Gartner, global spending on generative AI (GenAI) is projected to reach $644 billion in 2025, marking a significant 76.4% increase from 2024. This growth is driven by substantial investments in hardware, software, and services, with a notable focus on enterprise IT adoption.
Key Highlights:
- Hardware Dominance: 80% of GenAI spending in 2025 will be directed towards hardware, including servers, smartphones, and PCs. This reflects the increasing integration of AI capabilities into consumer and enterprise devices.
- Shift to Commercial Solutions: CIOs are expected to move away from ambitious internal projects to adopt commercial off-the-shelf solutions. This shift aims to ensure more predictable implementation and measurable business value.
- AI as a Standard Feature: By 2028, AI capabilities are projected to become standard features across nearly the entire consumer device market, influencing enterprise IT infrastructure planning.
- Challenges in Implementation: Despite the growth, many enterprises face challenges with GenAI adoption, including high failure rates in proof-of-concept work, dissatisfaction with results, and issues with data quality and employee readiness.
Enterprise IT Implications:
In 2025, enterprises are expected to prioritize mature commercial solutions that integrate GenAI capabilities into existing systems. This approach will help overcome internal organizational challenges and maximize ROI. Additionally, the dominance of hardware spending indicates a need for enterprises to invest in AI-capable infrastructure to support future AI-driven applications and services.
Conclusion:
The GenAI market is poised for explosive growth in 2025, with enterprise IT playing a pivotal role. However, success will depend on aligning investments with organizational readiness, addressing implementation challenges, and leveraging commercial solutions to drive business value.