Machine Learning Market Size, Share, Segment Analysis And Forecast To 2033

The new report published by The Business Research Company, titled ""Machine Learning Global Market Report 2024 - Market Size, Trends, And Global Forecast 2024-2033"", delivers an in-depth analysis of the leading size and forecasts, investment opportunities, winning strategies, market drivers and trends, competitive landscape, and evolving market trends.

As per the report, the machine learning market size has grown exponentially in recent years. It will grow from $50.2 billion in 2023 to $68.88 billion in 2024 at a compound annual growth rate (CAGR) of 37.2%. The machine learning market size is expected to see exponential growth in the next few years. It will grow to $240.84 billion in 2028 at a compound annual growth rate (CAGR) of 36.7%.

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Cloud-Based Platforms Fueling Growth In The Machine Learning Market
Increasing adoption of cloud-based platforms is expected to propel the growth of machine learning market going forward. Cloud-based platforms refer to computing services and resources that are delivered over the internet, allowing users to access and utilize applications, storage, and processing power without the need for physical infrastructure or hardware. Cloud-based machine learning platforms facilitate collaboration, as multiple users can work on projects simultaneously and they allow seamless integration with other cloud services. For instance, in October 2023, according to Ofcom, a UK-based Government office, the market for cloud infrastructure in the UK was worth approximately £7.0 billion ($ 7.69) to £7.5 billion ($ 8.23) in 2022. Moreover, in 2023, 41.4% of the global tech and business leaders plan to increase their investment in cloud-based services and products. Therefore, increasing adoption of cloud-based platforms is driving the growth of machine learning market.

Focus On Automated Machine Learning To Automate The Process
Major companies operating in the machine learning market are focusing on automated machine learning tools to automate the process. These tools aim to automate the process of model selection, training, and deployment, making machine learning more accessible to individuals and organizations with limited expertise in the field. For instance, in April 2023, AND Solutions Pte Ltd., a Singapore-based fintech company that provides automated machine learning solution 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 create and deploy top-notch machine learning models without coding or data science expertise swiftly and effortlessly. 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.

The machine learning market covered in this report is segmented -

1) By Component Outlook : Hardware, Software
2) By Deployment: Cloud, On-Premises
3) By Type: Large Enterprises, Small and Medium Enterprise
4) By End-user: Healthcare, Retail, BFSI, Manufacturing, IT & Telecom, Energy & Utilities, Agriculture, Automotive, Marketing & Advertising

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Major companies operating in the machine learning market report are Google Inc., Microsoft Corporation, Amazon Web Services Inc., International Business Machines Corporation, SAP SE, Hewlett Packard Enterprise Development LP, Baidu Inc., Intel Corporation, SAS Institute Inc., Fair Isaac Corporation, Alteryx, Dataiku, H2o.AI, KNIME.com AG, Alpine Data, Peltarion, RapidMiner Inc., BigML Inc., Luminoso Technologies Inc., Turing Analytics

Contents of the report:
1. Executive Summary
2. Machine Learning Market Report Structure
3. Machine Learning Market Trends And Strategies
4. Machine Learning Market - Macro Economic Scenario
5. Machine Learning Market Size And Growth
…..
27. Machine Learning Market Competitor Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis
30. Appendix

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