Machine Learning as a Service (MLaaS) Global Research Report 2024: Market to exceed $200 billion by 2028

Global Market for Machine Learning as a Service (MLaaS)

DUBLIN, May 10, 2024 (Globe Newswire) — “Machine Learning as a Service (MLaaS) World Market Report 2024” Report added ResearchAndMarkets.com Recruitment.

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

The market size of Machine Learning as a Service (MLaaS) is expected to grow rapidly in the coming years. It is expected to grow to $203.1 billion in 2028 at a compound annual growth rate (CAGR) of 36.9%. Future growth projections are driven by 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 security. It’s possible. Privacy features.

Key trends expected during this period include the development of vertically specialized machine learning platforms, the integration of AI-enhanced automation, efforts to democratize machine learning, the promotion of collaborative machine learning approaches, and continuous learning. This includes system implementation.

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 different cloud-based systems into a single whole, or linking cloud-based systems to on-premises systems. Cloud technology leverages MLaaS to provide users with accessible, scalable, and cost-effective machine learning capabilities. This allows users to leverage pre-trained models and tools for a variety of applications without requiring extensive machine learning or infrastructure management expertise. As a result, the integration of cloud technologies is increasing, driving the growth of the MLaaS market.

Leading companies in the machine learning-as-a-service (MLaaS) market are innovating by offering services like Kubeflow as a service to democratize AI development. Kubeflow-as-a-Service (KFaaS) is a managed environment that allows users to leverage the power of Kubeflow for their machine learning (ML) projects without managing the underlying infrastructure.

North America was the largest region for the Machine Learning as a Service (MLaaS) market in 2023. Asia Pacific is expected to be the fastest growing region over the forecast period.

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Key attributes:

Some of the companies mentioned in this report include:

• Amazon.com Inc.

• Alphabet Co., Ltd.

• microsoft

• Meta Platforms Co., Ltd.

• Intel Corporation

• International Business Machines Corporation

• Oracle Corporation

• Mitsubishi Electric Corporation

• SAP SE

• Hewlett Packard Enterprise

• NVIDIA Corporation

• Tata Consultancy Services Limited

• Infosys Corporation

• Wipro Corporation

• Fair Isaac Co., Ltd.

• Databricks Co., Ltd.

• Tibuco Software Co., Ltd.

• Scient Co., Ltd.

• Dateiku Co., Ltd.

• H2O.ai Co., Ltd.

• iFlowSoft Solutions Co., Ltd.

• Big ML Co., Ltd.

• ascent core

• Monkey Learn Co., Ltd.

• Shift Science Co., Ltd.

• Yottamine Analytics LLC

Main topics covered:

1.executive summary

2. Characteristics of the Machine Learning as a Service (MLaaS) market

3. Machine Learning as a Service (MLaaS) Market Trends and Strategies

4. Machine Learning as a Service (MLaaS) Market – Macroeconomic Scenario
4.1. Impact of high inflation on the market
4.2. Impact of the Ukraine-Russia war on the market
4.3. Impact of the new coronavirus infection 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 Constraints
5.1.1. Market drivers
5.1.2. Market constraints
5.2. Global Machine Learning as a Service (MLaaS) Historical Market Size and Growth, 2018-2023, Value ($ Billion)
5.3. Global Machine Learning as a Service (MLaaS) Market Size and Growth Forecast, 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, Historical and Forecast, 2018-2023, 2023-2028, to 2033, $ Billion

6.2. Global Machine Learning as a Service (MLaaS) Market, Segmentation by Organization Size, Historical and Forecast, 2018-2023, 2023-2028, to 2033, $ Billion

6.3. Global Machine Learning as a Service (MLaaS) Market, Segmentation by Application, Historical and Forecast, 2018-2023, 2023-2028, to 2033, $ Billion

• marketing and advertising

• predictive maintenance

• automatic network management

• Fraud detection and risk management

• Other uses

6.4. Global Machine Learning as a Service (MLaaS) Market, Segmentation by End Users, Historical and Forecast, 2018-2023, 2023-2028, 2033, $ Billion

• Banking, Financial Services and Insurance (BFSI)

• information technology and communications

• car

• health care

• aerospace and defense

• retail

• government

• Other end users

7. Regional and country analysis of Machine Learning as a Service (MLaaS) Market
7.1. Global Machine Learning as a Service (MLaaS) Market, Regions, Historical and Forecast, 2018-2023, 2023-2028, 2033, $ Billion
7.2. Global Machine Learning as a Service (MLaaS) Market, by Country, Historical and Forecast, 2018-2023, 2023-2028, 2033, $ Billion

For more information about this report, please visit: https://www.researchandmarkets.com/r/uiuagj

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