| Product Code: ETC13212276 | Publication Date: Apr 2025 | Updated Date: Jul 2025 | Product Type: Market Research Report | |
| Publisher: 6Wresearch | Author: Shubham Padhi | No. of Pages: 190 | No. of Figures: 80 | No. of Tables: 40 |
According to 6Wresearch internal database and industry insights, the Global Automated Machine Learning Market was valued at USD 2.9 Billion in 2024 and is expected to reach USD 6.1 Billion by 2031, growing at a compound annual growth rate of 6.10% during the forecast period (2025-2031).
The Global Automated Machine Learning (AutoML) Market is experiencing significant growth driven by the increasing demand for advanced analytics solutions across various industries. AutoML technologies offer automated model selection, feature engineering, and hyperparameter tuning, enabling organizations to build machine learning models efficiently without the need for extensive data science expertise. Key market players such as Google, H2O.ai, Databricks, and DataRobot are continuously innovating to enhance AutoML capabilities and cater to the rising demand for AI and predictive analytics tools. The market is influenced by factors such as the proliferation of big data, the adoption of cloud-based services, and the need for faster model deployment. As businesses prioritize data-driven decision-making, the Global AutoML Market is expected to witness sustained growth in the coming years.
The Global Automated Machine Learning Market is experiencing significant growth driven by the increasing demand for advanced analytics and machine learning solutions across various industries. Key trends include the rise of AutoML platforms that democratize machine learning by enabling non-experts to build and deploy models efficiently, the integration of AI and ML capabilities into existing business processes, and the growing adoption of cloud-based AutoML solutions. Opportunities in the market lie in the development of customized AutoML tools for specific industries, the expansion of AutoML offerings to cater to small and medium-sized enterprises, and the integration of AutoML with emerging technologies such as IoT and edge computing. Overall, the Global Automated Machine Learning Market is poised for continued expansion as organizations seek to leverage the power of machine learning to drive business insights and innovation.
The Global Automated Machine Learning Market faces several challenges, including the complexity of automating the entire machine learning process, ensuring the quality and reliability of automated models, and the need for skilled data scientists to interpret and fine-tune automated results. Additionally, data privacy and security concerns, as well as the lack of standardized tools and frameworks, pose obstacles to the widespread adoption of automated machine learning. The rapid pace of technological advancements and the constantly evolving nature of machine learning algorithms also present challenges in keeping up with the latest developments and integrating them effectively into automated processes. Overall, addressing these challenges will be crucial in driving the growth and success of the Global Automated Machine Learning Market.
The Global Automated Machine Learning Market is primarily driven by the increasing demand for advanced predictive analytics solutions across various industries to enhance decision-making processes. The growing adoption of cloud-based services and the need for faster model development and deployment are also major drivers propelling market growth. Additionally, the shortage of skilled data scientists and the complexity of traditional machine learning techniques have led organizations to seek automated machine learning solutions that can democratize the machine learning process and make it more accessible to non-experts. Furthermore, the advancements in artificial intelligence and machine learning technologies, coupled with the rising focus on operational efficiency and cost savings, are further fueling the demand for automated machine learning solutions in the global market.
Government policies related to the Global Automated Machine Learning Market vary across different countries. Some governments are focusing on promoting innovation and adoption of automated machine learning technologies through funding research and development initiatives, offering tax incentives to companies investing in AI technologies, and creating regulatory frameworks to ensure data privacy and security. Other governments are implementing strategies to address concerns around job displacement and ethical implications of AI, such as establishing guidelines for responsible AI usage and investing in workforce training programs. Overall, the regulatory landscape for automated machine learning is evolving as governments seek to balance the potential benefits of AI technologies with the need to address societal challenges and risks associated with their deployment.
The Global Automated Machine Learning Market is poised for significant growth in the coming years as organizations continue to prioritize the adoption of AI and machine learning technologies. With the increasing demand for advanced analytics solutions and the shortage of data science expertise, automated machine learning platforms are becoming essential for businesses looking to leverage the power of data-driven insights. The market is expected to witness a surge in adoption across various industries such as healthcare, finance, retail, and manufacturing, driven by the need for efficient data processing and predictive modeling capabilities. Additionally, advancements in technology, such as the integration of AI-driven algorithms and cloud-based services, are expected to further propel the growth of the automated machine learning market globally.
In the global Automated Machine Learning (AutoML) market, Asia is expected to witness significant growth driven by the increasing adoption of AI technologies in countries like China and India. North America remains a key market player due to the presence of major tech companies investing in AutoML solutions. Europe is also a prominent region with a growing focus on enhancing data analytics capabilities across industries. The Middle East and Africa region is gradually embracing AutoML to improve operational efficiency and decision-making processes. Latin America is showing potential for AutoML adoption, particularly in sectors like finance and healthcare. Overall, the global AutoML market is poised for growth across all regions, driven by the need for efficient data processing and predictive analytics solutions.
Global Automated Machine Learning Market |
1 Executive Summary |
2 Introduction |
2.1 Key Highlights of the Report |
2.2 Report Description |
2.3 Market Scope & Segmentation |
2.4 Research Methodology |
2.5 Assumptions |
3 Global Automated Machine Learning Market Overview |
3.1 Global Regional Macro Economic Indicators |
3.2 Global Automated Machine Learning Market Revenues & Volume, 2021 & 2031F |
3.3 Global Automated Machine Learning Market - Industry Life Cycle |
3.4 Global Automated Machine Learning Market - Porter's Five Forces |
3.5 Global Automated Machine Learning Market Revenues & Volume Share, By Regions, 2021 & 2031F |
3.6 Global Automated Machine Learning Market Revenues & Volume Share, By Offering, 2021 & 2031F |
3.7 Global Automated Machine Learning Market Revenues & Volume Share, By Application, 2021 & 2031F |
3.8 Global Automated Machine Learning Market Revenues & Volume Share, By Vertical, 2021 & 2031F |
4 Global Automated Machine Learning Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.3 Market Restraints |
5 Global Automated Machine Learning Market Trends |
6 Global Automated Machine Learning Market, 2021 - 2031 |
6.1 Global Automated Machine Learning Market, Revenues & Volume, By Offering, 2021 - 2031 |
6.1.1 Overview & Analysis |
6.1.2 Global Automated Machine Learning Market, Revenues & Volume, By Solutions, 2021 - 2031 |
6.1.3 Global Automated Machine Learning Market, Revenues & Volume, By Services, 2021 - 2031 |
6.2 Global Automated Machine Learning Market, Revenues & Volume, By Application, 2021 - 2031 |
6.2.1 Overview & Analysis |
6.2.2 Global Automated Machine Learning Market, Revenues & Volume, By Data Processing, 2021 - 2031 |
6.2.3 Global Automated Machine Learning Market, Revenues & Volume, By Feature Engineering, 2021 - 2031 |
6.2.4 Global Automated Machine Learning Market, Revenues & Volume, By Model Selection, 2021 - 2031 |
6.2.5 Global Automated Machine Learning Market, Revenues & Volume, By Hyperparameter Optimization & Tuning, 2021 - 2031 |
6.2.6 Global Automated Machine Learning Market, Revenues & Volume, By Model Ensembling, 2021 - 2031 |
6.2.7 Global Automated Machine Learning Market, Revenues & Volume, By Other Applications, 2021 - 2031 |
6.3 Global Automated Machine Learning Market, Revenues & Volume, By Vertical, 2021 - 2031 |
6.3.1 Overview & Analysis |
6.3.2 Global Automated Machine Learning Market, Revenues & Volume, By Banking, financial services, and insurance, 2021 - 2031 |
6.3.3 Global Automated Machine Learning Market, Revenues & Volume, By Retail & eCommerce, 2021 - 2031 |
6.3.4 Global Automated Machine Learning Market, Revenues & Volume, By Healthcare & life sciences, 2021 - 2031 |
6.3.5 Global Automated Machine Learning Market, Revenues & Volume, By IT & ITeS, 2021 - 2031 |
6.3.6 Global Automated Machine Learning Market, Revenues & Volume, By Telecommunications, 2021 - 2031 |
6.3.7 Global Automated Machine Learning Market, Revenues & Volume, By Government & defense, 2021 - 2031 |
6.3.8 Global Automated Machine Learning Market, Revenues & Volume, By Manufacturing, 2021 - 2031 |
6.3.9 Global Automated Machine Learning Market, Revenues & Volume, By Others, 2021 - 2031 |
7 North America Automated Machine Learning Market, Overview & Analysis |
7.1 North America Automated Machine Learning Market Revenues & Volume, 2021 - 2031 |
7.2 North America Automated Machine Learning Market, Revenues & Volume, By Countries, 2021 - 2031 |
7.2.1 United States (US) Automated Machine Learning Market, Revenues & Volume, 2021 - 2031 |
7.2.2 Canada Automated Machine Learning Market, Revenues & Volume, 2021 - 2031 |
7.2.3 Rest of North America Automated Machine Learning Market, Revenues & Volume, 2021 - 2031 |
7.3 North America Automated Machine Learning Market, Revenues & Volume, By Offering, 2021 - 2031 |
7.4 North America Automated Machine Learning Market, Revenues & Volume, By Application, 2021 - 2031 |
7.5 North America Automated Machine Learning Market, Revenues & Volume, By Vertical, 2021 - 2031 |
8 Latin America (LATAM) Automated Machine Learning Market, Overview & Analysis |
8.1 Latin America (LATAM) Automated Machine Learning Market Revenues & Volume, 2021 - 2031 |
8.2 Latin America (LATAM) Automated Machine Learning Market, Revenues & Volume, By Countries, 2021 - 2031 |
8.2.1 Brazil Automated Machine Learning Market, Revenues & Volume, 2021 - 2031 |
8.2.2 Mexico Automated Machine Learning Market, Revenues & Volume, 2021 - 2031 |
8.2.3 Argentina Automated Machine Learning Market, Revenues & Volume, 2021 - 2031 |
8.2.4 Rest of LATAM Automated Machine Learning Market, Revenues & Volume, 2021 - 2031 |
8.3 Latin America (LATAM) Automated Machine Learning Market, Revenues & Volume, By Offering, 2021 - 2031 |
8.4 Latin America (LATAM) Automated Machine Learning Market, Revenues & Volume, By Application, 2021 - 2031 |
8.5 Latin America (LATAM) Automated Machine Learning Market, Revenues & Volume, By Vertical, 2021 - 2031 |
9 Asia Automated Machine Learning Market, Overview & Analysis |
9.1 Asia Automated Machine Learning Market Revenues & Volume, 2021 - 2031 |
9.2 Asia Automated Machine Learning Market, Revenues & Volume, By Countries, 2021 - 2031 |
9.2.1 India Automated Machine Learning Market, Revenues & Volume, 2021 - 2031 |
9.2.2 China Automated Machine Learning Market, Revenues & Volume, 2021 - 2031 |
9.2.3 Japan Automated Machine Learning Market, Revenues & Volume, 2021 - 2031 |
9.2.4 Rest of Asia Automated Machine Learning Market, Revenues & Volume, 2021 - 2031 |
9.3 Asia Automated Machine Learning Market, Revenues & Volume, By Offering, 2021 - 2031 |
9.4 Asia Automated Machine Learning Market, Revenues & Volume, By Application, 2021 - 2031 |
9.5 Asia Automated Machine Learning Market, Revenues & Volume, By Vertical, 2021 - 2031 |
10 Africa Automated Machine Learning Market, Overview & Analysis |
10.1 Africa Automated Machine Learning Market Revenues & Volume, 2021 - 2031 |
10.2 Africa Automated Machine Learning Market, Revenues & Volume, By Countries, 2021 - 2031 |
10.2.1 South Africa Automated Machine Learning Market, Revenues & Volume, 2021 - 2031 |
10.2.2 Egypt Automated Machine Learning Market, Revenues & Volume, 2021 - 2031 |
10.2.3 Nigeria Automated Machine Learning Market, Revenues & Volume, 2021 - 2031 |
10.2.4 Rest of Africa Automated Machine Learning Market, Revenues & Volume, 2021 - 2031 |
10.3 Africa Automated Machine Learning Market, Revenues & Volume, By Offering, 2021 - 2031 |
10.4 Africa Automated Machine Learning Market, Revenues & Volume, By Application, 2021 - 2031 |
10.5 Africa Automated Machine Learning Market, Revenues & Volume, By Vertical, 2021 - 2031 |
11 Europe Automated Machine Learning Market, Overview & Analysis |
11.1 Europe Automated Machine Learning Market Revenues & Volume, 2021 - 2031 |
11.2 Europe Automated Machine Learning Market, Revenues & Volume, By Countries, 2021 - 2031 |
11.2.1 United Kingdom Automated Machine Learning Market, Revenues & Volume, 2021 - 2031 |
11.2.2 Germany Automated Machine Learning Market, Revenues & Volume, 2021 - 2031 |
11.2.3 France Automated Machine Learning Market, Revenues & Volume, 2021 - 2031 |
11.2.4 Rest of Europe Automated Machine Learning Market, Revenues & Volume, 2021 - 2031 |
11.3 Europe Automated Machine Learning Market, Revenues & Volume, By Offering, 2021 - 2031 |
11.4 Europe Automated Machine Learning Market, Revenues & Volume, By Application, 2021 - 2031 |
11.5 Europe Automated Machine Learning Market, Revenues & Volume, By Vertical, 2021 - 2031 |
12 Middle East Automated Machine Learning Market, Overview & Analysis |
12.1 Middle East Automated Machine Learning Market Revenues & Volume, 2021 - 2031 |
12.2 Middle East Automated Machine Learning Market, Revenues & Volume, By Countries, 2021 - 2031 |
12.2.1 Saudi Arabia Automated Machine Learning Market, Revenues & Volume, 2021 - 2031 |
12.2.2 UAE Automated Machine Learning Market, Revenues & Volume, 2021 - 2031 |
12.2.3 Turkey Automated Machine Learning Market, Revenues & Volume, 2021 - 2031 |
12.3 Middle East Automated Machine Learning Market, Revenues & Volume, By Offering, 2021 - 2031 |
12.4 Middle East Automated Machine Learning Market, Revenues & Volume, By Application, 2021 - 2031 |
12.5 Middle East Automated Machine Learning Market, Revenues & Volume, By Vertical, 2021 - 2031 |
13 Global Automated Machine Learning Market Key Performance Indicators |
14 Global Automated Machine Learning Market - Export/Import By Countries Assessment |
15 Global Automated Machine Learning Market - Opportunity Assessment |
15.1 Global Automated Machine Learning Market Opportunity Assessment, By Countries, 2021 & 2031F |
15.2 Global Automated Machine Learning Market Opportunity Assessment, By Offering, 2021 & 2031F |
15.3 Global Automated Machine Learning Market Opportunity Assessment, By Application, 2021 & 2031F |
15.4 Global Automated Machine Learning Market Opportunity Assessment, By Vertical, 2021 & 2031F |
16 Global Automated Machine Learning Market - Competitive Landscape |
16.1 Global Automated Machine Learning Market Revenue Share, By Companies, 2024 |
16.2 Global Automated Machine Learning Market Competitive Benchmarking, By Operating and Technical Parameters |
17 Top 10 Company Profiles |
18 Recommendations |
19 Disclaimer |