What is the present valuation and projected CAGR of the automated machine learning solution market?
The automated machine learning solution market size has grown exponentially in recent years. It will grow from $2.12 billion in 2024 to $3.13 billion in 2025 at a compound annual growth rate (CAGR) of 47.9%. 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 $14.89 billion in 2029 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 advancement, cloud and serverless computing, .
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What key drivers have fueled the automated machine learning solution market’s development over the years?
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 the Financial Crimes Enforcement Network, a US-based government agency, this upward trend continued into 2022, with the number of SARs related to check fraud surpassing 680,000, nearly doubling the filings from the previous year. Therefore, increasing demand for efficient fraud detection solutions will drive the growth of the automated machine learning solution market.
What is the segmentation for the automated machine learning solution market?
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
Subsegments:
1) By Platform: Cloud-Based Platforms, On-Premises Platforms, Integrated Development Environments (IDEs), AutoML Tools
2) By Service: Consulting Services, Implementation Services, Support And Maintenance Services, Training And Workshops
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Who are the most influential companies in the automated machine learning solution market?
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
What are the top industry trends projected to impact the automated machine learning solution market?
Major companies operating in the automated machine learning solution market are adopting new technological innovations to sustain their position in the market. Technological innovations in automated ML solutions involve enhanced model interpretability and seamless integration for streamlined and efficient machine learning model development. For instance, in April 2023, AND Solutions Pte Ltd., a Singapore-based fintech company that provides automated machine learning solution platforms, launched the NIKO AutoML platform, an innovative machine-learning tool created to streamline and expedite the creation of prediction models. This platform offers various tools and functionalities, enabling users to create and deploy top-notch machine learning models without coding or data science expertise swiftly and effortlessly. The platform’s user interface helps users through every procedure stage, providing optimal results in a fraction of the time traditional approaches would take. NIKO AutoML offers several key benefits, including fast and accurate model creation, streamlined workflow, increased productivity and cost-effectiveness.
What are the major regional insights for the automated machine learning solution market, and which region holds the top position?
North America was the largest region in the automated machine learning solution market in 2024. The regions covered in the automated machine learning solution market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
What Does The Automated Machine Learning Solution Market Report 2025 Offer?
The automated machine learning solution market research report from The Business Research Company offers global market size, growth rate, regional shares, competitor analysis, detailed segments, trends, and opportunities.
Automated machine learning solutions are software platforms that streamline and automate the end-to-end process of developing machine learning models. AutoML solutions typically automate tasks such as feature engineering, model selection, hyperparameter tuning, and model evaluation, simplifying the complex workflow of building machine learning models.
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