Machine Learning As A Service (MLaaS) Global Market Report 2024

Description

Machine learning as a service (MLaaS) is a cloud-based system that offers users access to tools and resources for developing, deploying, and managing machine learning (ML) models. It enables individuals and organizations to leverage ML capabilities without needing extensive expertise in algorithms, programming, or infrastructure.

The key components of MLaaS are software tools and services. Software tools are cloud-based platforms that provide ML tools and services to support the daily work of data scientists and data engineers. MLaaS is used by organizations of all sizes, including small and medium enterprises (SMEs) and large enterprises. It is employed in various applications such as marketing and advertisement, predictive maintenance, automated network management, fraud detection, risk management, sentiment analysis, and more. MLaaS finds application in industries such as banking, financial services and insurance (BFSI), information technology and telecom, automotive, healthcare, aerospace & defense, retail, government, and others.

The machine learning as a service (MLaaS) market research report is one of a series of new reports from The Business Research Company that provides machine learning as a service (MLaaS) market statistics, including machine learning as a service (MLaaS) industry global market size, regional shares, competitors with machine learning as a service (MLaaS) market share, detailed machine learning as a service (MLaaS) market segments, market trends, and opportunities, and any further data you may need to thrive in the machine learning as a service (MLaaS) industry. This machine learning as a service (MLaaS) 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.

The machine learning as a service (MLaaS) market size has grown exponentially in recent years. It will grow from $42.09 billion in 2023 to $57.88 billion in 2024 at a compound annual growth rate (CAGR) of 37.5%. The growth in the historic period can be attributed to the growth of big data, increased adoption of machine learning, advancements in deep learning, the rise of data science and AI, and increased awareness of predictive analytics.

The machine learning as a service (MLaaS) market size is expected to see exponential growth in the next few years. It will grow to $203.10 billion in 2028 at a compound annual growth rate (CAGR) of 36.9%. The forecasted growth in the upcoming period can be attributed to several factors, including the increasing availability of industry-specific solutions, the rise of explainable AI, the expansion of autonomous systems, the adoption of hybrid cloud deployments, and the implementation of enhanced security and privacy features. Major trends expected during this period include the development of vertical-specific machine learning platforms, the integration of AI-enhanced automation, efforts to democratize machine learning, the promotion of collaborative machine learning approaches, and the implementation of continuous learning systems.

The increasing integration of cloud technologies is expected to drive the growth of the machine learning as a service (MLaaS) market in the future. Cloud technology integration involves connecting various cloud-based systems into a cohesive whole or linking cloud-based systems with on-premises systems. Cloud technologies leverage MLaaS to provide users with accessible, scalable, and cost-effective machine learning capabilities. This enables users to utilize pre-trained models and tools for various applications without requiring extensive expertise in machine learning or infrastructure management. For example, in December 2023, Eurostat reported that 42.5% of EU enterprises purchased cloud computing services, primarily for email, file storage, and office software, marking a 4.2 percentage point increase from 2021. Additionally, data from Augusta Free Press in December 2022 indicated that global digital transformation spending reached approximately $1.85 trillion, a 16% increase from the previous year. Consequently, the increasing integration of cloud technologies is propelling the growth of the MLaaS market.

Major companies in the machine learning as a service (MLaaS) market are innovating by offering services such as Kubeflow as a service to democratize AI development. Kubeflow-as-a-Service (KFaaS) is a managed environment that enables users to utilize Kubeflow's capabilities for machine learning (ML) projects without managing the underlying infrastructure. For example, in February 2023, Civo, a UK-based web hosting company, introduced Kubeflow as a service. With a fully managed development environmentsuch as Civo KFaaS, users can access the service provider's compute capabilities without dealing with infrastructure management. KFaaS streamlines ML project workflows by integrating with popular ML tools and platforms such as TensorFlow, PyTorch, RStudio, Visual Studio Code, and Jupyter notebooks.

In September 2021, DataRobot Inc., a US-based technology company, acquired Decision AI for an undisclosed amount. This acquisition is intended to enhance DataRobot's existing no-code app development and decision intelligence flow capabilities, allowing users to optimize dynamic business processes and make faster, more informed decisions. The acquisition is part of DataRobot's strategy to expand its AI Platform's decision intelligence suite and enhance the ability to make smarter decisions using machine learning. Decision AI, based in the US, specializes in Machine Learning as a Service (MLaaS).

Major companies operating in the machine learning as a service (mlaas) market report are Amazon.com Inc., Alphabet Inc., Microsoft Corporation, Meta Platforms Inc., Intel Corporation , International Business Machines Corporation, Oracle Corporation, Mitsubishi Electric Corporation, SAP SE, Hewlett Packard Enterprise Company, NVIDIA Corporation, Tata Consultancy Services Limited, Infosys Limited, Wipro Ltd., Fair Isaac Corporation, Databricks Inc., TIBCO Software Inc., Cyient Ltd., Dataiku Ltd., H2O.ai Inc., Iflowsoft Solutions Inc., BigML Inc., AscentCore, MonkeyLearn Inc., Sift Science Inc., Yottamine Analytics LLC

North America was the largest region in the machine learning as a service (MLaaS) market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the machine learning as a service (mlaas) market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the machine learning as a service (mlaas) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The machine learning as a service (MLaaS) market includes revenues earned by entities by providing services such as predictive analytics, natural language processing, image and video recognition, speech recognition, recommendation systems, and anomaly detection services. 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. The machine learning as a service (MLaaS) market consists of sales of central processing units (CPUs), graphic processing units (GPUs), and field-programmable gate arrays (FPGAs). Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

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.

Machine Learning As A Service (MLaaS) Global Market Report 2024 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 machine learning as a service (MLaaS) 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 coronavirus 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.
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Where is the largest and fastest growing market for machine learning as a service (MLaaS)? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The machine learning as a service (MLaaS) 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.

The market characteristics section of the report defines and explains the market.
The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
The forecasts are made after considering the major factors currently impacting the market. These include:

The impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.

The impact of higher inflation in many countries and the resulting spike in interest rates.

The continued but declining impact of covid 19 on supply chains and consumption patterns.

Market segmentations break down the market into sub markets.
The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

Markets Covered:

1) By Component: Software Tools; Services
2) By Organization Size: Small And Medium Enterprises; Large Enterprises
3) By Application: Marketing And Advertisement; Predictive Maintenance; Automated Network Management; Fraud Detection And Risk Management; Other Applications
4) End User: BFSI; IT And Telecom; Automotive; Healthcare; Aerospace And Defense; Retail; Government; Other End User
Companies Mentioned: Amazon.com Inc.; Alphabet Inc.; Microsoft Corporation; Meta Platforms Inc.; Intel Corporation
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
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.

Product Code: r16665

1. Executive Summary

2. Machine Learning As A Service (MLaaS) Market Characteristics

3. Machine Learning As A Service (MLaaS) Market Trends And Strategies

4. Machine Learning As A Service (MLaaS) Market - Macro Economic Scenario

4.1. Impact Of High Inflation On The Market
4.2. Ukraine-Russia War Impact On The Market
4.3. COVID-19 Impact On The Market

5. Global Machine Learning As A Service (MLaaS) Market Size and Growth

5.1. Global Machine Learning As A Service (MLaaS) Market Drivers and Restraints
- 5.1.1. Drivers Of The Market
- 5.1.2. Restraints Of The Market
5.2. Global Machine Learning As A Service (MLaaS) Historic Market Size and Growth, 2018 - 2023, Value ($ Billion)
5.3. Global Machine Learning As A Service (MLaaS) Forecast Market Size and Growth, 2023 - 2028, 2033F, Value ($ Billion)

6. Machine Learning As A Service (MLaaS) Market Segmentation

6.1. Global Machine Learning As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
Software Tools
Services
6.2. Global Machine Learning As A Service (MLaaS) Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
Small And Medium Enterprises
Large Enterprises
6.3. Global Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
Marketing And Advertisement
Predictive Maintenance
Automated Network Management
Fraud Detection And Risk Management
Other Applications
6.4. Global Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
Banking, Financial Services and Insurance (BFSI)
Information Technology and Telecom
Automotive
Healthcare
Aerospace And Defense
Retail
Government
Other End Users

7. Machine Learning As A Service (MLaaS) Market Regional And Country Analysis

7.1. Global Machine Learning As A Service (MLaaS) Market, Split By Region, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
7.2. Global Machine Learning As A Service (MLaaS) Market, Split By Country, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

8. Asia-Pacific Machine Learning As A Service (MLaaS) Market

8.1. Asia-Pacific Machine Learning As A Service (MLaaS) 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 Machine Learning As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
8.3. Asia-Pacific Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
8.4. Asia-Pacific Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

9. China Machine Learning As A Service (MLaaS) Market

9.1. China Machine Learning As A Service (MLaaS) Market Overview
9.2. China Machine Learning As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
9.3. China Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
9.4. China Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion

10. India Machine Learning As A Service (MLaaS) Market

10.1. India Machine Learning As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
10.2. India Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
10.3. India Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

11. Japan Machine Learning As A Service (MLaaS) Market

11.1. Japan Machine Learning As A Service (MLaaS) Market Overview
11.2. Japan Machine Learning As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
11.3. Japan Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
11.4. Japan Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

12. Australia Machine Learning As A Service (MLaaS) Market

12.1. Australia Machine Learning As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
12.2. Australia Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
12.3. Australia Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

13. Indonesia Machine Learning As A Service (MLaaS) Market

13.1. Indonesia Machine Learning As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
13.2. Indonesia Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
13.3. Indonesia Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

14. South Korea Machine Learning As A Service (MLaaS) Market

14.1. South Korea Machine Learning As A Service (MLaaS) Market Overview
14.2. South Korea Machine Learning As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
14.3. South Korea Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
14.4. South Korea Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

15. Western Europe Machine Learning As A Service (MLaaS) Market

15.1. Western Europe Machine Learning As A Service (MLaaS) Market Overview
15.2. Western Europe Machine Learning As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
15.3. Western Europe Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
15.4. Western Europe Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

16. UK Machine Learning As A Service (MLaaS) Market

16.1. UK Machine Learning As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
16.2. UK Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
16.3. UK Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

17. Germany Machine Learning As A Service (MLaaS) Market

17.1. Germany Machine Learning As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
17.2. Germany Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
17.3. Germany Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

18. France Machine Learning As A Service (MLaaS) Market

18.1. France Machine Learning As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
18.2. France Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
18.3. France Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

19. Italy Machine Learning As A Service (MLaaS) Market

19.1. Italy Machine Learning As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
19.2. Italy Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
19.3. Italy Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

20. Spain Machine Learning As A Service (MLaaS) Market

20.1. Spain Machine Learning As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
20.2. Spain Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
20.3. Spain Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

21. Eastern Europe Machine Learning As A Service (MLaaS) Market

21.1. Eastern Europe Machine Learning As A Service (MLaaS) Market Overview
21.2. Eastern Europe Machine Learning As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
21.3. Eastern Europe Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
21.4. Eastern Europe Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

22. Russia Machine Learning As A Service (MLaaS) Market

22.1. Russia Machine Learning As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
22.2. Russia Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
22.3. Russia Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

23. North America Machine Learning As A Service (MLaaS) Market

23.1. North America Machine Learning As A Service (MLaaS) Market Overview
23.2. North America Machine Learning As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
23.3. North America Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
23.4. North America Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

24. USA Machine Learning As A Service (MLaaS) Market

24.1. USA Machine Learning As A Service (MLaaS) Market Overview
24.2. USA Machine Learning As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
24.3. USA Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
24.4. USA Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

25. Canada Machine Learning As A Service (MLaaS) Market

25.1. Canada Machine Learning As A Service (MLaaS) Market Overview
25.2. Canada Machine Learning As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
25.3. Canada Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
25.4. Canada Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

26. South America Machine Learning As A Service (MLaaS) Market

26.1. South America Machine Learning As A Service (MLaaS) Market Overview
26.2. South America Machine Learning As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
26.3. South America Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
26.4. South America Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

27. Brazil Machine Learning As A Service (MLaaS) Market

27.1. Brazil Machine Learning As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
27.2. Brazil Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
27.3. Brazil Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

28. Middle East Machine Learning As A Service (MLaaS) Market

28.1. Middle East Machine Learning As A Service (MLaaS) Market Overview
28.2. Middle East Machine Learning As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
28.3. Middle East Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
28.4. Middle East Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

29. Africa Machine Learning As A Service (MLaaS) Market

29.1. Africa Machine Learning As A Service (MLaaS) Market Overview
29.2. Africa Machine Learning As A Service (MLaaS) Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
29.3. Africa Machine Learning As A Service (MLaaS) Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
29.4. Africa Machine Learning As A Service (MLaaS) Market, Segmentation End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

30. Machine Learning As A Service (MLaaS) Market Competitive Landscape And Company Profiles

30.1. Machine Learning As A Service (MLaaS) Market Competitive Landscape
30.2. Machine Learning As A Service (MLaaS) Market Company Profiles
- 30.2.1. Amazon.com Inc.
  - 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. Alphabet Inc.
  - 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. Microsoft Corporation
  - 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. Meta Platforms Inc.
  - 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. Intel 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. Machine Learning As A Service (MLaaS) Market Other Major And Innovative Companies

31.1. International Business Machines Corporation
31.2. Oracle Corporation
31.3. Mitsubishi Electric Corporation
31.4. SAP SE
31.5. Hewlett Packard Enterprise Company
31.6. NVIDIA Corporation
31.7. Tata Consultancy Services Limited
31.8. Infosys Limited
31.9. Wipro Ltd.
31.10. Fair Isaac Corporation
31.11. Databricks Inc.
31.12. TIBCO Software Inc.
31.13. Cyient Ltd.
31.14. Dataiku Ltd.
31.15. H2O.ai Inc.

32. Global Machine Learning As A Service (MLaaS) Market Competitive Benchmarking

33. Global Machine Learning As A Service (MLaaS) Market Competitive Dashboard

34. Key Mergers And Acquisitions In The Machine Learning As A Service (MLaaS) Market

35. Machine Learning As A Service (MLaaS) Market Future Outlook and Potential Analysis

35.1 Machine Learning As A Service (MLaaS) Market In 2028 - Countries Offering Most New Opportunities
35.2 Machine Learning As A Service (MLaaS) Market In 2028 - Segments Offering Most New Opportunities
35.3 Machine Learning As A Service (MLaaS) Market In 2028 - 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