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Press releaseGlobeNewswire· February 26, 2026

Large Language Model Market Forecasted to Reach USD 149.89 Billion by 2035 Driven by AI Automation and Open-Source Adoption

View original at globenewswire.com
Large Language Model Market Forecasted to Reach USD 149.89 Billion by 2035 Driven by AI Automation and Open-Source Adoption Ottawa, Feb…
Opening lines of the source · GlobeNewswire · short snapshot — read the full document at the original

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  • The customer service segment is anticipated to register the fastest CAGR during the forecast period

    80% confidence
  • The healthcare segment held a significant share in 2025, while the finance segment is projected to expand at a rapid pace

    80% confidence
  • The cloud segment is expected to grow at the highest rate throughout the study period

    80% confidence
  • Chatbots and virtual assistants dominated the market with a 28% share in 2025

    80% confidence
  • Asia Pacific is expected to witness the highest growth rate over the forecast period

    80% confidence
  • Growing automation across various tasks and strong focus on accelerating decision-making increase demand for LLM

    80% confidence
  • The global large language model market will grow from USD 10.57 billion in 2026 to nearly USD 149.89 billion by 2035, expanding at a CAGR of 34.44% from 2026 to 2035

    80% confidence
  • North America led the global large language model market in 2025, capturing a 33% revenue share

    80% confidence
  • The U.S. large language model market size is expected to cross around USD 37.98 billion by 2035, increasing from USD 2.62 billion in 2026, growing at a CAGR of 34.78% from 2026 to 2035

    80% confidence
  • The on-premises segment accounted for a major 59% share in 2025

    80% confidence

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ING Group
Both facts record the same metric (shares_outstanding) for ING Group at the identical observation date (2025-12-31). FACT A states 2,902,437,688 shares; FACT B states 2,902 million shares (2,902,000,000). The difference is 437,688 shares (~0.015%). This is a genuine value conflict, though the discrepancy appears to result from FACT B rounding to the nearest million while FACT A provides the precise count.
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