Automated Machine Learning Solution Market: Industry Analysis, Size, Share, Growth And Forecast To 2033

The Business Research Company has released its latest global market reports, covering insights for 2024 and offering projections up to 2033.

The Business Research Company presents an extensive market research report on the Automated Machine Learning Solution Global Market Report 2024, furnishing businesses with a competitive edge through a detailed examination of the market structure, encompassing estimates for various segments and sub-segments.

Furthermore, the report highlights on emerging trends, significant drivers, challenges, and opportunities, providing all necessary data for thriving in the industry. This report market research offers a comprehensive perspective, including an in-depth analysis of the present and future scenarios within the industry.

Market Sizing:
The automated machine learning solution market size has grown exponentially in recent years. It will grow from $1.43 billion in 2023 to $2.12 billion in 2024 at a compound annual growth rate (CAGR) of 48.0%. The growth in the historic period can be attributed to growing demand for predictive models, data-driven decision-making, increasing demand for predictive lead scoring systems, optimization of processes.

The automated machine learning solution market size is expected to see exponential growth in the next few years. It will grow to $10.07 billion in 2028 at a compound annual growth rate (CAGR) of 47.7%. The growth in the forecast period can be attributed to increasing demand for efficient fraud detection solutions, demand for intelligent business processes is rising, rising need to automate the financial sector, increasing adoption in various industries, emerging educational interest. Major trends in the forecast period include subscription-based models, technological advancemet, cloud and serverless computing, .

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Key Market Players:
Major companies operating in the automated machine learning solution market report are Microsoft Corporation, Amazon Web Services Inc, Microsoft Azure Automated Machine Learning, International Business Machines Corporation, Oracle, SAS Institute Inc, Databricks, Alteryx, H2O.ai, EdgeVerve Systems Limited, Dataiku, Datarobot Inc, KNIME, Rasa, Peltarion, RapidMiner, Auger.AI, BigML, dotData Inc, Big Squid Inc, Determined.ai Inc, Turi (formerly GraphLab), Turing Analytics

Market Drivers:
Increasing demand for efficient fraud detection solutions is expected to propel the growth of the automated machine learning solution market going forward. Fraud detection solutions refer to a set of tools, technologies and methodologies designed to identify and prevent fraudulent activities within various systems, processes, or transactions. Machine learning is currently being used for fraud detection applications to combat the rising danger of financial fraud. For instance, in February 2023, according to financial crimes enforcement network (FinCEN), a US-based government agency that collects and analyze information about financial transaction, in 2021, banking institutions sent over 350,000 suspicious activity reports to FinCEN to identify suspected check fraud, a 23% increase over the number of SARs filed in 2020. The rising trend continued into 2022, with over 680,000 suspicious activity reports, nearly double the previous year's total. Therefore, increasing demand for efficient fraud detection solutions will drive the growth of the automated machine learning solution market.

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The automated machine learning solution market covered in this report is segmented -
1) By Offering: Platform, Service
2) By Deployment: On-Premise, Cloud
3) By Enterprise Size: Large Enterprises, SMEs
4) By End-users: BFSI, Retail and E-Commerce, Healthcare, Manufacturing

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