#gartner

#gartner

SAP's greatest challenge comes from its own legacy systems rather than competitors.

The transition from ECC to S/4HANA presents a major hurdle for many SAP customers.

Many SAP customers are slow to migrate to updated systems, prompting potential changes in SAP's support strategy.

S/4HANA adoption among SAP users is slow, with 61% still on ECC as 2027 deadline looms.

Cybercriminals are increasingly utilizing AI to enhance their tactics, particularly in automating account takeovers.

AI spending is rapidly increasing but may face disillusionment due to unmet expectations and lack of tangible benefits.

Worldwide IT spending is set to grow by 9.8% in 2025, reaching $5.61 trillion, largely due to AI investments.

Gartner's Hype Cycle highlights key tech trends impacting future investments and developments.

Rapid advancements in AI and computing are crucial for future IT strategies.

C-level executives should focus on technologies likely to disrupt industries by 2025.

Agentic AI will evolve to make autonomous decisions for users.

Specialist hardware for AI is unsustainable and doomed, as traditional machines can eventually perform the same tasks without the need for specialized tools.

Samsung regained the top position among semiconductor manufacturers, significantly driven by the rising demand for AI technologies and a rebound in memory prices.

Migrating from VMware is a highly complex and costly endeavor, requiring careful planning and consideration of networking and storage implications.

A migration from VMware will take 18 to 48 months and can range from $300 to $3,000 per virtual machine.

Gartner warns Omnissa customers about the lack of a strong roadmap and advises risk assessment and contingency planning.

Organizations risk creating numerous AI agents without understanding their purpose or functionality.

Companies embracing genAI face challenges like data quality, costs, and unclear business value, leading to abandoned projects.

AGI is unlikely to materialize for at least a decade, with uncertainty about its eventual arrival and value.

Gartner signals that GenAI is shifting towards disillusionment despite its long-term potential.

AI will necessitate significant upskilling of the engineering workforce by 2027, according to Gartner's predictions.

Gartner predicts that 40% of generative AI solutions will be multimodal by 2027, significantly increasing from just 1% in 2023.

Generative AI workloads will strain energy resources, likely impacting 40% of AI datacentres by 2027 due to rising power demands.

Gartner's 2025 technology trends highlight essential innovations and areas of opportunity for businesses to monitor and understand.

AI PCs are projected to make up a significant portion of the market by 2026, driving the necessity for future-proofing by businesses.