Generative AI Market to Surge Past $122 Billion by 2031, Driven by Healthcare and Retail Demand

January 2, 2025
Generative AI Market to Surge Past $122 Billion by 2031, Driven by Healthcare and Retail Demand
  • The demand for AI solutions is surging, particularly in sectors like manufacturing, healthcare, and retail, where precision and efficiency are paramount.

  • A notable 60% of enterprises plan to integrate AI into their ERP systems within the next five years, indicating a strong growth trajectory.

  • Despite the promising growth of AI, challenges such as data security, accuracy, and biases remain pressing concerns for enterprises.

  • Companies utilizing AI for process optimization have reported significant benefits, including a 10-15% increase in production output and a 4-5% rise in EBITA.

  • Approximately 77% of companies are poised to adopt generative AI in 2024, highlighting its strategic importance in business operations.

  • The global generative AI market is expected to surpass USD 122.37 billion by 2031, showcasing a remarkable compound annual growth rate of 34.46%.

  • Key sectors embracing AI include healthcare, finance, and retail, particularly for predictive analytics and automation, alongside a growing reliance on cloud-based AI services.

  • Open-source AI platforms are democratizing access to advanced tools, fostering a diverse ecosystem and promoting innovation, especially among smaller firms.

  • The COVID-19 pandemic has significantly accelerated the adoption of machine learning and AI, further propelling the generative AI market.

  • The Asia-Pacific region is projected to be the fastest-growing market for AI, bolstered by rapid industrialization and supportive government initiatives.

  • Generative AI applications are diverse, spanning sectors such as healthcare, finance, and education, with uses in predictive modeling, computer vision, and customer service.

  • In 2024, large enterprises dominated the AI market, accounting for over 64% of it, driven by substantial investments in advanced AI technologies.

Summary based on 11 sources


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