Product Code: r8756
“Automated Machine Learning (AutoML) Global Market Report 2023 ” from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.
This report focuses on automated machine learning (automl) market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
Reasons to Purchase
- Gain a truly global perspective with the most comprehensive report available on this market covering 50+ geographies.
- Understand how the market has been affected by the COVID-19 and how it is responding as the impact of the virus abates.
- Assess the Russia - Ukraine war's impact on agriculture, energy and mineral commodity supply and its direct and indirect impact on the market.
- Measure the impact of high global inflation on market growth.
- Create regional and country strategies on the basis of local data and analysis.
- Identify growth segments for investment.
- Outperform competitors using forecast data and the drivers and trends shaping the market.
- Understand customers based on the latest market shares.
- Benchmark performance against key competitors.
- Suitable for supporting your internal and external presentations with reliable high quality data and analysis
- Report will be updated with the latest data and delivered to you within 3-5 working days of order along with an Excel data sheet for easy data extraction and analysis.
- All data from the report will also be delivered in an excel dashboard format.
Where is the largest and fastest growing market for automated machine learning (automl)? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? “The automated machine learning (automl) market global report ” from The Business Research Company answers all these questions and many more.
The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.
Scope
Markets Covered:
- 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
- Companies Mentioned: Google LLC; Microsoft Corporation; Amazon Web Services Inc.; International Business Machines Corporation; Oracle Corporation
- Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Italy; Spain; Canada
- Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
- Time series: Five years historic and ten years forecast.
- Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
- Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
- Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
- Delivery format: PDF, Word and Excel Data Dashboard.
Executive Summary
Major players in the automated machine learning (AutoML) market are: 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, and Neptune Labs.
The global automated machine learning (AutoML) market is expected to grow from $0.77 billion in 2022 to $1.15 billion in 2023 at a compound annual growth rate (CAGR) of 45%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic. The war between these two countries has led to economic sanctions on multiple countries, surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and resulted in increased interest rates affecting many markets across the globe. The automated machine learning (AutoML) market is expected to reach $5.03 billion in 2027 at a CAGR of 44.6%.
The automated machine learning (AutoML) market includes revenues earned by entities by providing data visualization, deployment of technology, monitoring and problem cracking, fraud detection, neural architecture search*(NAS), and workflow optimization. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.
Automated machine learning (AutoML) is the process of applying machine learning to practical issues AutoML automates machine learning models' selection, composition, and parameterization, making the machine learning process more user-friendly and often providing faster, more accurate outputs than hand-coded algorithms.
North America was the largest region in the automated machine learning (AutoML) market in 2022. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in automated machine learning (AutoML) report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.
The main offerings of automated machine learning (AutoML) are solutions and services. Solutions involve the implementation of software tools to address specific issues within an organization, and these automated machine learning solutions allow business users to easily adopt machine learning solutions, freeing up data scientists to focus on more challenging challenges. The various deployments include cloud and on-premises in small and medium enterprises and large enterprises. These are used for several applications, including data processing, feature engineering, model selection, hyperparameter optimization and tuning, model assembling, and others, that are used by various end-users such as banking, financial services, and insurance (BFSI), retail and e-commerce, healthcare, manufacturing, and others.
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.
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.
In September 2021, Qlik Tech International AB, a US-based software company specializing in data analytics and business intelligence solutions, acquired Big Squid Inc. for an undisclosed amount. With this acquisition, Qlik Tech International AB aims to leverage advanced augmented analytics capabilities and expand the industry's most robust augmented analytics suite for cloud analytics. Big Squid Inc. is a US-based software company that provides no-code automated machine learning (AutoML).
The countries covered in the automated machine learning (AutoML) market report are: Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Italy, Spain, Canada.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
The automated machine learning (AutoML) market research report is one of a series of new reports from The Business Research Company that provides automated machine learning (AutoML) market statistics, including automated machine learning (AutoML) industry global market size, regional shares, competitors with an automated machine learning (AutoML) market share, detailed automated machine learning (AutoML) market segments, market trends and opportunities, and any further data you may need to thrive in the automated machine learning (AutoML) industry. This automated machine learning (AutoML) market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.
Table of Contents
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
- 4.1. Impact Of High Inflation On Online Therapy Services Market
- 4.2. Ukraine-Russia War Impact On Online Therapy Services Market
- 4.3. COVID-19 Impact On Online Therapy Services Market
- 5.1. Global Automated Machine Learning (AutoML) Market Drivers and Restraints
- 5.1.1. Drivers Of The Market
- 5.1.2. Restraints Of The Market
- 5.2. Global Automated Machine Learning (AutoML) Historic Market Size and Growth, 2017 - 2022, Value ($ Billion)
- 5.3. Global Automated Machine Learning (AutoML) Forecast Market Size and Growth, 2022 - 2027, 2032F, Value ($ Billion)
6. Automated Machine Learning (AutoML) Market Segmentation
- 6.1. Global Automated Machine Learning (AutoML) Market, Segmentation By Offering, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- Solutions
- Services
- 6.2. Global Automated Machine Learning (AutoML) Market, Segmentation By Deployment, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- Cloud
- On-Premises
- 6.3. Global Automated Machine Learning (AutoML) Market, Segmentation By Enterprise, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- Small And Medium Enterprise
- Large Enterprise
- 6.4. Global Automated Machine Learning (AutoML) Market, Segmentation By Application, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- Data Processing
- Feature Engineering
- Model Selection
- Hyperparameter Optimization And Tuning
- Model Assembling
- Other Applications
- 6.5. Global Automated Machine Learning (AutoML) Market, Segmentation By End User, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- Banking, Financial Services And Insurance (BFSI)
- Retail And E-Commerce
- Healthcare
- Manufacturing
- Other End Users
7. Automated Machine Learning (AutoML) Market Regional And Country Analysis
- 7.1. Global Automated Machine Learning (AutoML) Market, Split By Region, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- 7.2. Global Automated Machine Learning (AutoML) Market, Split By Country, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
8. Asia-Pacific Automated Machine Learning (AutoML) Market
- 8.1. Asia-Pacific Automated Machine Learning (AutoML) Market Overview
- Region Information, Impact Of COVID-19, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
- 8.2. Asia-Pacific Automated Machine Learning (AutoML) Market, Segmentation By Offering, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- 8.3. Asia-Pacific Automated Machine Learning (AutoML) Market, Segmentation By Application, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- 8.4. Asia-Pacific Automated Machine Learning (AutoML) Market, Segmentation By End User, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
9. China Automated Machine Learning (AutoML) Market
- 9.1. China Automated Machine Learning (AutoML) Market Overview
- 9.2. China Automated Machine Learning (AutoML) Market, Segmentation By Offering, Historic and Forecast, 2017-2022, 2022-2027F, 2032F,$ Billion
- 9.3. China Automated Machine Learning (AutoML) Market, Segmentation By Application, Historic and Forecast, 2017-2022, 2022-2027F, 2032F,$ Billion
- 9.4. China Automated Machine Learning (AutoML) Market, Segmentation By End User, Historic and Forecast, 2017-2022, 2022-2027F, 2032F,$ Billion
10. India Automated Machine Learning (AutoML) Market
- 10.1. India Automated Machine Learning (AutoML) Market, Segmentation By Offering, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- 10.2. India Automated Machine Learning (AutoML) Market, Segmentation By Application, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- 10.3. India Automated Machine Learning (AutoML) Market, Segmentation By End User, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
11. Japan Automated Machine Learning (AutoML) Market
- 11.1. Japan Automated Machine Learning (AutoML) Market, Segmentation By Offering, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- 11.2. Japan Automated Machine Learning (AutoML) Market, Segmentation By Application, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- 11.3. Japan Automated Machine Learning (AutoML) Market, Segmentation By End User, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
12. Australia Automated Machine Learning (AutoML) Market
- 12.1. Australia Automated Machine Learning (AutoML) Market, Segmentation By Offering, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- 12.2. Australia Automated Machine Learning (AutoML) Market, Segmentation By Application, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- 12.3. Australia Automated Machine Learning (AutoML) Market, Segmentation By End User, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
13. Indonesia Automated Machine Learning (AutoML) Market
- 13.1. Indonesia Automated Machine Learning (AutoML) Market, Segmentation By Offering, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- 13.2. Indonesia Automated Machine Learning (AutoML) Market, Segmentation By Application, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- 13.3. Indonesia Automated Machine Learning (AutoML) Market, Segmentation By End User, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
14. South Korea Automated Machine Learning (AutoML) Market
- 14.1. South Korea Automated Machine Learning (AutoML) Market, Segmentation By Offering, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- 14.2. South Korea Automated Machine Learning (AutoML) Market, Segmentation By Application, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- 14.3. South Korea Automated Machine Learning (AutoML) Market, Segmentation By End User, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
15. Western Europe Automated Machine Learning (AutoML) Market
- 15.1. Western Europe Automated Machine Learning (AutoML) Market Overview
- 15.2. Western Europe Automated Machine Learning (AutoML) Market, Segmentation By Offering, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- 15.3. Western Europe Automated Machine Learning (AutoML) Market, Segmentation By Application, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- 15.4. Western Europe Automated Machine Learning (AutoML) Market, Segmentation By End User, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
16. UK Automated Machine Learning (AutoML) Market
- 16.1. UK Automated Machine Learning (AutoML) Market, Segmentation By Offering, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- 16.2. UK Automated Machine Learning (AutoML) Market, Segmentation By Application, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- 16.3. UK Automated Machine Learning (AutoML) Market, Segmentation By End User, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
17. Germany Automated Machine Learning (AutoML) Market
- 17.1. Germany Automated Machine Learning (AutoML) Market, Segmentation By Offering, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- 17.2. Germany Automated Machine Learning (AutoML) Market, Segmentation By Application, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- 17.3. Germany Automated Machine Learning (AutoML) Market, Segmentation By End User, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
18. France Automated Machine Learning (AutoML) Market
- 18.1. France Automated Machine Learning (AutoML) Market, Segmentation By Offering, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- 18.2. France Automated Machine Learning (AutoML) Market, Segmentation By Application, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- 18.3. France Automated Machine Learning (AutoML) Market, Segmentation By End User, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
19. Italy Automated Machine Learning (AutoML) Market
- 19.1. Italy Automated Machine Learning (AutoML) Market, Segmentation By Offering, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- 19.2. Italy Automated Machine Learning (AutoML) Market, Segmentation By Application, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- 19.3. Italy Automated Machine Learning (AutoML) Market, Segmentation By End User, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
20. Spain Automated Machine Learning (AutoML) Market
- 20.1. Spain Automated Machine Learning (AutoML) Market, Segmentation By Offering, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- 20.2. Spain Automated Machine Learning (AutoML) Market, Segmentation By Application, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- 20.3. Spain Automated Machine Learning (AutoML) Market, Segmentation By End User, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
21. Eastern Europe Automated Machine Learning (AutoML) Market
- 21.1. Eastern Europe Automated Machine Learning (AutoML) Market Overview
- 21.2. Eastern Europe Automated Machine Learning (AutoML) Market, Segmentation By Offering, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- 21.3. Eastern Europe Automated Machine Learning (AutoML) Market, Segmentation By Application, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- 21.4. Eastern Europe Automated Machine Learning (AutoML) Market, Segmentation By End User, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
22. Russia Automated Machine Learning (AutoML) Market
- 22.1. Russia Automated Machine Learning (AutoML) Market, Segmentation By Offering, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- 22.2. Russia Automated Machine Learning (AutoML) Market, Segmentation By Application, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- 22.3. Russia Automated Machine Learning (AutoML) Market, Segmentation By End User, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
23. North America Automated Machine Learning (AutoML) Market
- 23.1. North America Automated Machine Learning (AutoML) Market Overview
- 23.2. North America Automated Machine Learning (AutoML) Market, Segmentation By Offering, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- 23.3. North America Automated Machine Learning (AutoML) Market, Segmentation By Application, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- 23.4. North America Automated Machine Learning (AutoML) Market, Segmentation By End User, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
24. USA Automated Machine Learning (AutoML) Market
- 24.1. USA Automated Machine Learning (AutoML) Market Overview
- 24.2. USA Automated Machine Learning (AutoML) Market, Segmentation By Offering, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- 24.3. USA Automated Machine Learning (AutoML) Market, Segmentation By Application, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- 24.4. USA Automated Machine Learning (AutoML) Market, Segmentation By End User, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
25. Canada Automated Machine Learning (AutoML) Market
- 25.1. Canada Automated Machine Learning (AutoML) Market Overview
- 25.2. Canada Automated Machine Learning (AutoML) Market, Segmentation By Offering, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- 25.3. Canada Automated Machine Learning (AutoML) Market, Segmentation By Application, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- 25.4. Canada Automated Machine Learning (AutoML) Market, Segmentation By End User, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
26. South America Automated Machine Learning (AutoML) Market
- 26.1. South America Automated Machine Learning (AutoML) Market Overview
- 26.2. South America Automated Machine Learning (AutoML) Market, Segmentation By Offering, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- 26.3. South America Automated Machine Learning (AutoML) Market, Segmentation By Application, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- 26.4. South America Automated Machine Learning (AutoML) Market, Segmentation By End User, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
27. Brazil Automated Machine Learning (AutoML) Market
- 27.1. Brazil Automated Machine Learning (AutoML) Market, Segmentation By Offering, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- 27.2. Brazil Automated Machine Learning (AutoML) Market, Segmentation By Application, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- 27.3. Brazil Automated Machine Learning (AutoML) Market, Segmentation By End User, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
28. Middle East Automated Machine Learning (AutoML) Market
- 28.1. Middle East Automated Machine Learning (AutoML) Market Overview
- 28.2. Middle East Automated Machine Learning (AutoML) Market, Segmentation By Offering, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- 28.3. Middle East Automated Machine Learning (AutoML) Market, Segmentation By Application, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- 28.4. Middle East Automated Machine Learning (AutoML) Market, Segmentation By End User, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
29. Africa Automated Machine Learning (AutoML) Market
- 29.1. Africa Automated Machine Learning (AutoML) Market Overview
- 29.2. Africa Automated Machine Learning (AutoML) Market, Segmentation By Offering, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- 29.3. Africa Automated Machine Learning (AutoML) Market, Segmentation By Application, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
- 29.4. Africa Automated Machine Learning (AutoML) Market, Segmentation By End User, Historic and Forecast, 2017-2022, 2022-2027F, 2032F, $ Billion
30. Automated Machine Learning (AutoML) Market Competitive Landscape And Company Profiles
- 30.1. Automated Machine Learning (AutoML) Market Competitive Landscape
- 30.2. Automated Machine Learning (AutoML) Market Company Profiles
- 30.2.1. Google LLC
- 30.2.1.1. Overview
- 30.2.1.2. Products and Services
- 30.2.1.3. Strategy
- 30.2.1.4. Financial Performance
- 30.2.2. Microsoft Corporation
- 30.2.2.1. Overview
- 30.2.2.2. Products and Services
- 30.2.2.3. Strategy
- 30.2.2.4. Financial Performance
- 30.2.3. Amazon Web Services Inc.
- 30.2.3.1. Overview
- 30.2.3.2. Products and Services
- 30.2.3.3. Strategy
- 30.2.3.4. Financial Performance
- 30.2.4. International Business Machines Corporation
- 30.2.4.1. Overview
- 30.2.4.2. Products and Services
- 30.2.4.3. Strategy
- 30.2.4.4. Financial Performance
- 30.2.5. Oracle Corporation
- 30.2.5.1. Overview
- 30.2.5.2. Products and Services
- 30.2.5.3. Strategy
- 30.2.5.4. Financial Performance
31. Automated Machine Learning (AutoML) Market Other Major And Innovative Companies
- 31.1. Salesforce Inc.
- 31.2. Teradata Corporation
- 31.3. Alteryx
- 31.4. Altair Engineering Inc.
- 31.5. EdgeVerve Systems Limited
- 31.6. TIBCO Software Inc.
- 31.7. DataRobot Inc.
- 31.8. Dataiku
- 31.9. BigPanda.
- 31.10. H2O.ai Inc.
- 31.11. KNIME
- 31.12. Cognitivescale
- 31.13. Anyscale Inc.
- 31.14. RapidMiner
- 31.15. Squark AI Inc.
32. Global Automated Machine Learning (AutoML) Market Competitive Benchmarking
33. Global Automated Machine Learning (AutoML) Market Competitive Dashboard
34. Key Mergers And Acquisitions In The Automated Machine Learning (AutoML) Market
35. Automated Machine Learning (AutoML) Market Future Outlook and Potential Analysis
- 35.1 Automated Machine Learning (AutoML) Market In 2027 - Countries Offering Most New Opportunities
- 35.2 Automated Machine Learning (AutoML) Market In 2027 - Segments Offering Most New Opportunities
- 35.3 Automated Machine Learning (AutoML) Market In 2027 - Growth Strategies
- 35.3.1 Market Trend Based Strategies
- 35.3.2 Competitor Strategies
36. Appendix
- 36.1. Abbreviations
- 36.2. Currencies
- 36.3. Historic And Forecast Inflation Rates
- 36.4. Research Inquiries
- 36.5. The Business Research Company
- 36.6. Copyright And Disclaimer