{
  "title": "Automated Machine Learning Market Size & Share Analysis - Growth Trends and Forecast (2026 - 2031)",
  "slug": "automated-machine-learning-market",
  "industry": "Artificial Intelligence & ML",
  "parent_industry": "Technology, Media & Telecom (TMT)",
  "url": "https://www.mordorintelligence.com/industry-reports/automated-machine-learning-market",
  "scraped_at": "2026-09-17T17:36:58+07:00",
  "dataset_properties": [
    {
      "@type": "PropertyValue",
      "name": "Market Size (2026)",
      "value": 3.68,
      "unitText": "USD Billion"
    },
    {
      "@type": "PropertyValue",
      "name": "Market Size (2031)",
      "value": 21.19,
      "unitText": "USD Billion"
    },
    {
      "@type": "PropertyValue",
      "name": "Growth Rate (2026 - 2031)",
      "value": 41.96,
      "unitText": "PERCENT"
    },
    {
      "@type": "PropertyValue",
      "name": "Fastest Growing Market",
      "value": "Asia Pacific"
    },
    {
      "@type": "PropertyValue",
      "name": "Largest Market",
      "value": "North America"
    },
    {
      "@type": "PropertyValue",
      "name": "Market Concentration",
      "value": "Medium"
    }
  ],
  "faq": [
    {
      "@type": "Question",
      "name": "What is the current size of the automated machine learning market?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "The automated machine learning market is valued at USD 3.68 billion in 2026 and is projected to reach USD 21.19 billion by 2031."
      }
    },
    {
      "@type": "Question",
      "name": "Which deployment model grows fastest in automated machine learning?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Cloud-based solutions expand at 43.72% CAGR because they provide elastic compute, frequent feature updates, and lower upfront costs."
      }
    },
    {
      "@type": "Question",
      "name": "Why is healthcare the fastest-growing end-user segment?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Regulatory clarity and the need for clinical decision support drive healthcare to a 43.26% CAGR, outpacing other industries in adopting explainable AutoML tools."
      }
    },
    {
      "@type": "Question",
      "name": "How are talent shortages influencing adoption?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Limited availability of data-science professionals pushes firms toward no-code AutoML platforms, adding 6.8% to overall market CAGR."
      }
    },
    {
      "@type": "Question",
      "name": "What regions present the highest growth potential through 2031?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Asia Pacific leads with a 44.63% CAGR, fuelled by national AI policies, manufacturing modernisation, and rising cloud penetration."
      }
    },
    {
      "@type": "Question",
      "name": "How do data-privacy regulations affect cloud AutoML uptake?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Strict frameworks such as the EU GDPR slow deployments by 3.2% CAGR points as firms demand hybrid or local-hosted options with strong auditing capabilities."
      }
    }
  ],
  "images": [
    "images/automated-machine-learning-market-size-image-1775128998633.png",
    "images/automated-machine-learning-market-Automated-Machine-Learning-Market-Market-Share-by-Solution-2025-1769086839380.png",
    "images/automated-machine-learning-market-Automated-Machine-Learning-Market-Market-Share-by-Organization-Size-2025-1769086844167.png",
    "images/automated-machine-learning-market-Automated-Machine-Learning-Market-CAGR--Growth-Rate-by-Region-2026---2031-1769086849257.png",
    "images/automated-machine-learning-market-competitive-landscape-1751520499975.png",
    "images/market-snapshot.png",
    "images/pdf3.png",
    "images/Esomar-25.png",
    "images/GPTW-25-3xl.png",
    "images/automated-machine-learning-market-size-image-1775128998633.png"
  ],
  "sections_count": 14
}