Press release
Accelerating Evolution: AutoML Market Anticipates Robust Growth At CAGR Of 43.6% To Reach $2.35 Billion Value By 2025
Automated Machine Learning (AutoML) Market Size
What Is The Projected Market Size Of The Global Automated Machine Learning (AutoML) Global Market Report 2025 And Its Growth Rate?
•The AutoML market has grown exponentially to reach $1.64 billion in 2024.
•The market is anticipated to reach $2.35 billion by 2025, with a Compound Annual Growth Rate (CAGR) of 43.6%.
•Key growth drivers during this historic period include scarcity of data science talent, demand for speed in solutions, advancements in AI and computing power, cost efficiency, and machine learning complexity.
•The market is expected to experience further exponential growth, reaching $10.93 billion by 2029 at a CAGR of 46.8%.
•Growth during this forecast period would be driven by AI integration across industries, IoT and Big Data expansion, the rise of edge computing, hybrid cloud and on-premises solutions, and regulatory compliance requirements.
What Is Driving The Growth In The Automated Machine Learning (AutoML) Global Market Report 2025?
The rising need for advanced fraud detection solutions is the major driver propelling the growth of the AutoML market. The growing fraudulent activities necessitate the use of AutoML which has features to process and analyze large volumes of data, identifying patterns and detecting anomalies indicating fraudulent conducts. According to a report by Allianz Insurance PLC, identified claims fraud rose from $86.96 million in 2022 to $95.2 million in 2023, thus, substantiating the demand for advanced fraud detection solutions driving the AutoML market growth.
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Who Are the Key Players Driving Automated Machine Learning (AutoML) Global Market Report 2025 Growth?
•Google LLC,
•Microsoft Corporation,
•Amazon Web Services Inc.,
•International Business Machines Corporation,
•Oracle Corporation,
•Salesforce Inc.,
•Teradata Corporation,
•Alteryx,
•Altair Engineering Inc.,
•EdgeVerve Systems Limited,
•TIBCO Software Inc.,
•DataRobot Inc.,
•Dataiku,
•BigPanda.,
•H2O.ai Inc.,
•KNIME,
•Cognitivescale,
•Anyscale Inc.,
•RapidMiner,
•Squark AI Inc.,
•Auger.AI,
•DotData Inc.,
•BigML Inc.,
•Valohai,
•DarwinAI,
•Aible Inc.,
•SigOpt,
•Zerion,
•Xpanse AI,
•Neptune Labs
What Are The Key Trends In The Automated Machine Learning (AutoML) Global Market Report 2025?
Key trends in the forecast period include:
•Automated feature engineering,
•Advancements in federated learning,
•Explainable AI and model interpretability,
•AutoML for unstructured data,
•AutoML for autonomous systems.
What Are The Segments Of The Global Automated Machine Learning (AutoML) Global Market Report 2025?
•By Offering: Solutions, Services
•By Deployment: Cloud, On-Premises
•By Enterprise: Small And Medium Enterprise, Large Enterprise
•By Application: Data Processing, Feature Engineering, Model Selection, Hyperparameter Optimization And Tuning, Model Assembling, Other Applications
•By End User: Banking, Financial Services And Insurance (BFSI), Retail And E-Commerce, Healthcare, Manufacturing, Other End Users
Which Region Leads The Automated Machine Learning (AutoML) Global Market Report 2025?
North America held the largest market share of the AutoML market in 2024. However, the Asia-Pacific region is expected to exhibit the highest growth rate during the forecast period. The report covers detailed insights for geographical regions including Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, and Africa.
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What Is Covered In The Automated Machine Learning (AutoML) Global Market Report 2025 Global Market Report?
- Market Size Analysis: Analyze the Automated Machine Learning (AutoML) Global Market Report 2025 size by key regions, countries, product types, and applications.
- Market Segmentation Analysis: Identify various subsegments within the Automated Machine Learning (AutoML) Global Market Report 2025 for effective categorization.
- Key Player Focus: Focus on key players to define their market value, share, and competitive landscape.
- Growth Trends Analysis: Examine individual growth trends and prospects in the Market.
- Market Contribution: Evaluate contributions of different segments to the overall Automated Machine Learning (AutoML) Global Market Report 2025 growth.
- Growth Drivers: Detail key factors influencing market growth, including opportunities and drivers.
- Industry Challenges: Analyze challenges and risks affecting the Automated Machine Learning (AutoML) Global Market Report 2025.
- Competitive Developments: Analyze competitive developments, such as expansions, agreements, and new product launches in the market.
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