"Gartner forecasts that worldwide AI spending will total $2.5 trillion in 2026, a 44% year-over-year increase. Spending on AI platforms for data science and machine learning will reach $31 billion, and spending on AI data will reach $3 billion."
"By 2027, companies that do not prioritize high-quality, AI-ready data will struggle to scale generative AI and agentic solutions, resulting in a 15% loss in productivity."
"Scaling agentic AI adoption in business requires a strong data foundation. Businesses can create high-impact workflows by using agents, but to do so, they must modernize their data architecture, improve data quality, and advance their operating models."
Worldwide AI spending is projected to reach $2.5 trillion by 2026, with significant growth in AI platforms and data. The agentic AI market is expected to grow to $8.5 billion by 2026. Organizations are increasing their use of AI agents, with an average of 12 agents per organization, projected to rise to 20. By 2026, 40% of Global 2000 job roles will involve AI agents. Companies must prioritize high-quality data to avoid productivity losses and successfully scale agentic AI.
Read at ZDNET
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