Automated Machine Learning (AutoML) Market by Type and Application Valued at USD 1.5 billion in 2026, Projected to Reach USD 10.5 billion by 2033 at 30.2% CAGR

New Jersey, US State: "The global Automated Machine Learning (AutoML) market in the Information Technology and Telecom category is projected to reach USD 10.5 billion by 2031, growing at a CAGR of 30.2% from 2025 to 2031. With rising industrial adoption and continuous innovation in Information Technology and Telecom applications, the market is estimated to hit USD 1.5 billion in 2024, highlighting strong growth potential throughout the forecast period."

Automated Machine Learning (AutoML) Market Size & Forecast 2031
The Automated Machine Learning (AutoML) market is expanding rapidly as organizations increasingly adopt automation to simplify and accelerate the process of building and deploying machine learning models. The market growth is driven by the rising demand for data-driven insights, shortage of skilled data scientists, and growing adoption of AI technologies across industries. AutoML platforms enable non-experts to develop accurate predictive models by automating complex processes such as data preprocessing, feature selection, and hyperparameter tuning. Businesses in sectors like finance, healthcare, retail, and manufacturing are leveraging AutoML to optimize operations, improve decision-making, and enhance customer experiences. The integration of AutoML with cloud computing and big data analytics is further fueling market adoption, providing scalability and faster deployment capabilities. Increasing investment in AI research and enterprise digital transformation initiatives continues to propel the global market forward as automation becomes essential for competitive advantage.

By 2031, the Automated Machine Learning (AutoML) market is projected to witness significant growth as enterprises prioritize intelligent automation and real-time data processing. The rising use of low-code and no-code platforms is making AI development more accessible, enabling business professionals to create and deploy models without deep technical expertise. AI-powered AutoML tools are evolving to support complex applications such as natural language processing, computer vision, and predictive analytics, expanding their reach across new domains. Cloud-based solutions are expected to dominate the market due to their flexibility, cost-efficiency, and integration with enterprise data ecosystems. North America remains the leading region due to strong technology adoption and innovation, while Asia-Pacific is anticipated to record the fastest growth driven by expanding AI initiatives and government support for digital transformation. Overall, the global AutoML market is set to transform how organizations utilize AI, making model development faster, smarter, and more efficient through 2031.

Key Players in the Automated Machine Learning (AutoML) Market

Amazon Web Services Inc.
DataRobot
EdgeVerve Systems Limited
H20.ai Inc.
IBM
JADBio - Gnosis DA S.A.
QlikTech International AB
Auger
Google
Microsoft
SAS Institute lnc.

For Further Detail, Download the Sample PDF with Complete TOC, Tables, Figures, Charts, And More @ https://www.marketresearchintellect.com/download-sample/?rid=1031721&utm_source=OpenPr-Oct&utm_medium=842

Factors Supporting Growth of Automated Machine Learning (AutoML) Market in the Future:

1.Technological Advancements and Innovation:

The continuous evolution of technology is playing a vital role in driving the Automated Machine Learning (AutoML) market forward. Cutting-edge innovations are improving product functionality, enhancing performance, and reducing costs, making these solutions more accessible to a broader range of industries. Emerging technologies such as AI, IoT, advanced analytics, and automation are also enabling smarter and more efficient use cases, further expanding the scope of the market. These advancements are not only upgrading existing systems but are also creating entirely new application opportunities that will support long-term market expansion.

2. Expanding Applications Across End-Use Sectors:

The increasing integration of Automated Machine Learning (AutoML) solutions across diverse industries such as automotive, healthcare, consumer electronics, telecom, and industrial manufacturing is significantly boosting market demand. Each sector brings unique requirements, pushing companies to diversify their offerings and customize solutions. This cross-industry relevance ensures consistent demand growth, while rising digitalization and adoption of smart technologies amplify the market potential across both developed and developing regions.

3. Favorable Government Policies and Infrastructure Push:

Supportive initiatives by governments around the world, including funding programs, tax incentives, and policy frameworks, are providing a strong foundation for market development. Efforts to strengthen digital infrastructure, promote energy efficiency, and drive sustainable development are fueling demand for advanced Automated Machine Learning (AutoML) technologies. Moreover, public-private partnerships and national transformation agendas such as smart cities and Industry 4.0 are creating favorable conditions for rapid market expansion, especially in emerging economies

4. Increased Investment and Focus on Research & Development:

The Automated Machine Learning (AutoML) market is experiencing a surge in investment from both private and public entities, driven by the urgency to innovate and stay competitive. Companies are dedicating substantial resources to research and development to create next-generation products with higher efficiency, scalability, and environmental sustainability. Venture capital funding, mergers, acquisitions, and collaborations are also contributing to a dynamic ecosystem that fosters experimentation and accelerates commercialization of novel solutions, ensuring sustained market growth in the future.

To avail a discount on the purchase of this report visit the link @ https://www.marketresearchintellect.com/ask-for-discount/?rid=1031721&utm_source=OpenPr-Oct&utm_medium=842

Key Segments Covered in Our Report: Automated Machine Learning (AutoML) Industry

Automated Machine Learning (AutoML) Market by Type

Platform
Service

Automated Machine Learning (AutoML) Market by Application

Large Enterprise
SMEs

The Application segment showcases the industries and sectors that use Automated Machine Learning (AutoML) products for example Automated Machine Learning (AutoML) targeting healthcare and automotive industries etc. It also provides a perspective of the market rate of acceptance, usage of the products, and new applications that are paving the way for the future of the market.

Global Automated Machine Learning (AutoML) Market Regional Analysis

The Global Automated Machine Learning (AutoML) Market is examined in dimensions of regions, wherein each region has its own market growth, trends as well as dynamics. This section highlights on the detailed market performance, major shifts, and trends and underlying factors explaining growth in different places around the world.

North America: North America accounts for a large share of the Automated Machine Learning (AutoML) market which is a result of the developed technology, intense consumer market, and huge investments in the Automated Machine Learning (AutoML) industry. To add, the U.S. market also plays a crucial role as this economy is more concerned with innovation and was also one of the first to implement Automated Machine Learning (AutoML) products in its Automated Machine Learning (AutoML) sectors. The region is expected to see a gradual rise till 2031 and this is because of its reinforced infrastructure and existing regulation mechanisms.

Europe: Global has the fastest growing Automated Machine Learning (AutoML) market and is oriented around environmental protection, renewed efforts and environmental awareness. The market is dominated by countries like Germany, the UK, and France that have improved their technologies and have a strong industrial structure. Increased request for green solutions along with regulatory efforts are increasing demand in the market's key areas such as Automated Machine Learning (AutoML) sectors.

Asia-Pacific: The growth potential in the Automated Machine Learning (AutoML) market is expected to be maximum for Asia-Pacific region. Increased maturation, urban migration as well as expanding middle class in China, India, and Japan and other developing economies are great constituents of market growth. Further, there is an increasing contribution to investments in the Automated Machine Learning (AutoML) sector which is increasing the demand for Automated Machine Learning (AutoML) regions-supplying throughout the area.

Rest of the World: Countries and areas like Latin America, Middle East & Africa have also been showing moderate Automated Machine Learning (AutoML) market growth. Although still developing, these markets are fueled by a fast increasing infrastructure, expending industrial activities and growing consumer demand for Automated Machine Learning (AutoML) goods. These regions pose great opportunities for the market players to tap into other sources of growth.

Frequently Asked Questions (FAQ) - Automated Machine Learning (AutoML) Market

Q1: What is the anticipated growth rate of the Global Automated Machine Learning (AutoML) Market?

A1: With a growth rate of CAGR of 30.2%, the Global Automated Machine Learning (AutoML) Market is anticipated to reach USD 10.5 billion by 2031. Industrial demand and innovation will lead it to reach USD 1.5 billion by 2024.

Q2: Which regions provide the highest growth opportunities for the Automated Machine Learning (AutoML) Market?

A2: Asia-Pacific is likely to provide the highest growth prospects based on speedy industrialization and infrastructure growth, followed by robust markets in Europe and North America.

Q3: Which are the primary drivers of market growth?

A3: The primary drivers are technology innovation, growing industrial applications, heightened government initiatives, and expanding use of Automated Machine Learning (AutoML) solutions in different industries.

Q4: What are the challenges faced by the Automated Machine Learning (AutoML) Market?

A4: The challenges are tight regulatory systems, high upfront capital expenditures, fragmentation of the market in the emerging markets, and geopolitical risks in some regions.

Q5: Which are the major players in the Global Automated Machine Learning (AutoML) Market?

A5: The market has a number of leading players with a focus on innovation, strategic alliances, and global expansion.

Q6: How does innovation influence the Automated Machine Learning (AutoML) Market?

A6: Market growth is driven by innovation, which enhances product efficiency, lowers costs, and facilitates new applications, making the overall market potential broader.

Q7: Which industries utilize Automated Machine Learning (AutoML) products mostly?

A7: Major industries include manufacturing, automotive, energy, electronics, and infrastructure, among others, where Automated Machine Learning (AutoML) solutions deliver operational efficiency and sustainability.

Q8: How is the market anticipated to change after 2031?

A8: Although projections beyond 2031 are uncertain, continued technological advancement and increasing industrial demand are expected to continue supporting long-run growth patterns.

For More Information or Inquiries, Visit @ https://www.marketresearchintellect.com/product/automated-machine-learning-automl-market/?utm_source=Linkedin&utm_medium=842

About Us: Market Research Intellect

Market Research Intellect is widely recognized as one of the leading global market research companies, with strong capabilities in data interpretation as well as business intelligence. Our objective is to support businesses in various sectors with relevant insight of their markets enabling them to make sound choices, expand and remain competitive in the changing business environment.

Backed with an expert team of analysts, we carry out detailed market assessment and market potential forecasts for a wide range of fields including but not limited to technology, healthcare, automotive, energy, and many more. This also includes market definition, development of market forecasts, trend analysis, analysis of competitive environment and core comprehensive market research that is necessary for the client.

As a focus, we always strive to provide accurate and reliable data, or if need be, tailored solutions to the problems and possibilities present in the market worldwide. With the use of novel research approaches, we are able to provide intelligence that will help organizations in the ever dynamic business world.

Should you have any queries, please contact us as follows:

Mr. Edwyne Fernandes

Market Research Intellect

APAC: +61 485 860 968

EU: +44 788 886 6344

Us: +1 743 222 5439

https://www.linkedin.com/pulse/mica-flakes-powder-market-scope-region-2025-south-dn0uc/
https://www.linkedin.com/pulse/cvd-diamond-heat-sink-submount-market-scope-region-fevcc/
https://www.linkedin.com/pulse/imidazolinone-api-market-scope-region-2025-south-korea-62o5c/
https://www.linkedin.com/pulse/refractory-alumina-raw-materials-market-scope-region-x0tkc/
https://www.linkedin.com/pulse/refractory-magnesia-raw-materials-market-scope-region-ziwrc/
https://www.linkedin.com/pulse/submount-heatspreader-market-swot-region-2025-vietnam-china-nzcrc/
https://www.linkedin.com/pulse/utility-agricultural-adjuvants-market-swot-region-2025-vietnam-diqac/
https://www.linkedin.com/pulse/imazethapyr-herbicide-market-swot-region-2025-vietnam-china-xbjkc/
https://www.linkedin.com/pulse/refractory-grade-bauxite-raw-materials-market-swot-region-orkfc/
https://www.linkedin.com/pulse/microcrystalline-wax-food-pharmaceutical-market-swot-region-pdluc/
https://www.linkedin.com/pulse/synthetic-pterostilbene-market-size-region-2025-china-australia-jplnc/
https://www.linkedin.com/pulse/pe-fiber-stab-resistant-bulletproof-market-size-region-2025-rwphc/
https://www.linkedin.com/pulse/semi-conductive-waterproof-tape-market-size-region-2025-w4hlc/
https://www.linkedin.com/pulse/uv-curable-pad-printing-ink-market-size-region-2025-china-nkphc/
https://www.linkedin.com/pulse/latex-boxed-glove-market-size-region-2025-china-australia-sc8kc/
https://www.linkedin.com/pulse/pterostilbene-powder-market-share-region-2025-australia-2zw3c/
https://www.linkedin.com/pulse/polyester-high-tenacity-yarn-market-share-region-rmqyc/
https://www.linkedin.com/pulse/fiberglass-silicone-cloth-market-share-region-2025-iascc/
https://www.linkedin.com/pulse/solvent-based-pad-printing-ink-market-share-region-rcmtc/
https://www.linkedin.com/pulse/wafer-thinning-slurry-market-share-region-2025-australia-iiczc/
https://www.linkedin.com/pulse/low-temperature-lubrication-greases-market-trends-region-he4wc/
https://www.linkedin.com/pulse/soluble-rosin-flux-market-trends-region-2025-japan-south-fojwc/
https://www.linkedin.com/pulse/ndpr-oxide-market-trends-region-2025-japan-south-korea-zoutc/
https://www.linkedin.com/pulse/trimethylsilyl-iodide-market-trends-region-2025-japan-fnndc/
https://www.linkedin.com/pulse/hastelloy-pipe-market-trends-region-2025-japan-south-korea-tvz3c/
https://www.linkedin.com/pulse/modified-dimethylsilicone-market-scope-region-2025-south-a33hc/
https://www.linkedin.com/pulse/coating-grade-polyphenylene-sulfide-market-scope-region-nxw3c/
https://www.linkedin.com/pulse/lithium-carbonate-electric-vehicles-market-scope-region-eieyc/
https://www.linkedin.com/pulse/iodotrimethylsilane-market-scope-region-2025-south-korea-bh75c/
https://www.linkedin.com/pulse/thermal-insulation-fabric-market-scope-region-2025-south-fhkic/
https://www.linkedin.com/pulse/solder-materials-led-industry-market-swot-region-ce0sc/
https://www.linkedin.com/pulse/automotive-flexible-sealants-market-swot-region-jqgoc/
https://www.linkedin.com/pulse/battery-grade-carboxymethyl-cellulose-cmc-market-solec/
https://www.linkedin.com/pulse/bio-based-phenol-market-swot-region-2025-vietnam-l7ric/
https://www.linkedin.com/pulse/cement-particle-board-market-swot-region-2025-rgajc/
https://www.linkedin.com/pulse/chopped-fiber-glass-mat-market-size-region-2025-china-rd7qc/
https://www.linkedin.com/pulse/thermally-conductive-silicone-paste-market-size-region-lwuec/
https://www.linkedin.com/pulse/ferrite-cores-emi-suppression-market-size-region-2025-a3qjc/
https://www.linkedin.com/pulse/fiber-foam-market-size-region-2025-china-australia-japan-2mmtc/
https://www.linkedin.com/pulse/oxygen-free-copper-sheets-market-size-region-2025-china-rvnmc/
https://www.linkedin.com/pulse/natural-glucosamine-market-share-region-2025-australia-0x2fc/
https://www.linkedin.com/pulse/industrial-acrylic-adhesives-market-share-region-2025-alzmc/
https://www.linkedin.com/pulse/saran-wrap-market-share-region-2025-australia-japan-agnec/
https://www.linkedin.com/pulse/mim-feedstock-market-share-region-2025-australia-japan-kptic/
https://www.linkedin.com/pulse/floor-tile-caulk-market-share-region-2025-australia-x6bhc/
https://www.linkedin.com/pulse/industrial-garnet-stone-market-trends-region-2025-oakzc/
https://www.linkedin.com/pulse/blow-in-insulation-market-trends-region-2025-japan-jh08c/
https://www.linkedin.com/pulse/corrosion-resistant-cement-market-trends-region-2025-i5ygc/
https://www.linkedin.com/pulse/magnesite-chrome-brick-market-trends-region-2025-oc87c/
https://www.linkedin.com/pulse/beryllia-ceramic-substrates-market-trends-region-8lk7c/

This release was published on openPR.