Automated Machine Learning (AutoML) Market Size and Forecast 2024-2033| Google LLC, Microsoft Corporation, Amazon Web Services Inc., International Business Machines Corporation, Oracle Corporation

The Automated Machine Learning (AutoML) Global Market Report 2024 by The Business Research Company provides market overview across 60+ geographies in the seven regions – Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa, encompassing 27 major global industries. The report presents a comprehensive analysis over a ten-year historic period (2010-2021) and extends its insights into a ten-year forecast period (2023-2033).

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According to The Business Research Company’s Automated Machine Learning (AutoML) Global Market Report 2024, The automated machine learning (automl) market size has grown exponentially in recent years. It will grow from $1.15 billion in 2023 to $1.67 billion in 2024 at a compound annual growth rate (CAGR) of 44.9%. The growth in the historic period can be attributed to complexity of machine learning, scarcity of data science talent, demand for speedy solutions, advancements in ai and computing power, cost efficiency.

The automated machine learning (automl) market size is expected to see exponential growth in the next few years. It will grow to $7.35 billion in 2028 at a compound annual growth rate (CAGR) of 44.9%. The growth in the forecast period can be attributed to ai integration across industries, expansion of iot and big data, rise of edge computing, hybrid cloud and on-premises solutions, regulatory compliance requirements. Major trends in the forecast period include automated feature engineering, federated learning advancements, explainable ai and model interpretability, automl for unstructured data, automl for autonomous systems.

The rising need for advanced fraud detection solutions is expected to propel the growth of the automated machine learning (AutoML) market going forward. Fraud detection involves identifying and preventing fraudulent activities or behaviors within a system or organization. Automated machine learning (AutoML) can be used for fraud detection by leveraging its capabilities to process and analyze large volumes of data, identify patterns, and detect anomalies that may indicate fraudulent activities. For instance, in February 2023, according to the Financial Crimes Enforcement Network (FinCEN), a US-based government agency that collects and analyzes information about financial transactions, in 2021, banking institutions sent over 350,000 suspicious activity reports (SARs) to FinCEN to identify suspected check fraud, a 23% increase over the number of SARs filed in 2020. This rising trend continued into 2022, with over 680,000, nearly double the previous year’s total. Therefore, the rising need for advanced fraud detection solutions drives the growth of the automated machine learning (AutoML) market.

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The automated machine learning (automl) market covered in this report is segmented –

1) By Offering: Solutions, Services

2) By Deployment: Cloud, On-Premises

3) By Enterprise: Small And Medium Enterprise, Large Enterprise

4) By Application: Data Processing, Feature Engineering, Model Selection, Hyperparameter Optimization And Tuning, Model Assembling, Other Applications

5) By End User: Banking, Financial Services And Insurance (BFSI), Retail And E-Commerce, Healthcare, Manufacturing, Other End Users

Technological innovations are a key trend gaining popularity in the automated machine learning (AutoML) market. Major companies operating in the automated machine learning (AutoML) market are adopting new technological innovations to sustain their position in the market. For instance, in April 2023, AND Solutions Pte Ltd., a Singapore-based fintech company that provides automated machine learning (AutoML) 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 swiftly and effortlessly create and deploy top-notch machine learning models without coding or data science expertise. 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.

The automated machine learning (automl) market report table of contents includes:

1. Executive Summary

2. Automated Machine Learning (AutoML) Market Characteristics

3. Automated Machine Learning (AutoML) Market Trends And Strategies

4. Automated Machine Learning (AutoML) Market – Macro Economic Scenario

5. Global Automated Machine Learning (AutoML) Market Size and Growth

26. South America Automated Machine Learning (AutoML) Market

27. Brazil Automated Machine Learning (AutoML) Market

28. Middle East Automated Machine Learning (AutoML) Market

29. Africa Automated Machine Learning (AutoML) Market

30. Automated Machine Learning (AutoML) Market Competitive Landscape And Company Profiles

Top Major Players: