Global Machine Learning Market

Global Machine Learning Market Size, Share, Growth Analysis, By Component(Solutions, Services), By Deployment(Cloud, On-Premise), By Enterprise Size(SMEs, Large Enterprise), By End User(Healthcare, Retail) - Industry Forecast 2024-2031


Report ID: SQMIG45D2080 | Region: Global | Published Date: February, 2024
Pages: 157 | Tables: 122 | Figures: 77

Global Machine Learning Market Dynamics

Machine Learning Market Driver

  • Machine learning technology is already helping in a number of healthcare-related situations. This technology is used in the healthcare industry to evaluate millions of different data points, forecast outcomes, provide quick risk assessments, and allocate resources precisely, among many other things. For instance, today IBM Watson Health and Healthcare IT Leaders announced the combination of IBM Digital Health Pass and Healthcare IT Leaders Healthy Returns, a full set of corporate COVID-19 services.
  • Medical Imaging Diagnosis: Computer vision is a cutting-edge method that blends ML and deep learning. The Microsoft InnerEye initiative, which focuses on image diagnostic tools for image analysis, has approved this. For instance, an AI model developed by a team of researchers from IBM and Pfizer can predict with a 71 percent accuracy the eventual beginning of Alzheimer's disease in healthy individuals using tiny samples of linguistic data (obtained via clinical verbal cognition tests).

Machine Learning Market Restraint

  • A wide range of advantages provided by the ML platform contributes to the market expansion. However, the platform is missing several essential elements that are anticipated to impede market expansion. The market is significantly constrained by the existence of inaccurate algorithms, which are occasionally underdeveloped. Precision is crucial for industrial companies using big data and machine learning. Up until the system has all the parameters set and the error margin is near to or equal to zero, human input is necessary. Therefore, this element can limit the global machine learning market expansion.
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FAQs

Machine Learning Market size was valued at USD 6.91 billion in 2019 and is poised to grow from USD 9.95 billion in 2023 to USD 183.21 billion by 2031, growing at a CAGR of 44.1% in the forecast period (2024-2031).

The Global Machine learning market is relatively fragmented, with a high level of competition. The prominent players operating in the market are constantly adopting various growth strategies to stay afloat in the market. Product launches, innovations, mergers, and acquisitions, collaborations and partnerships, and intensive R&D are some of the growth strategies that are adopted by these key players to thrive in the competitive market. The key market players are also constantly focused on R&D to supply industries with the most efficient and cost-effective solutions. 'IBM', 'Amazon Web Services (AWS)', 'Microsoft Corporation', 'Google LLC', 'SAS Institute Inc.', 'Intel Corporation', 'Alphabet Inc.', 'General Electric', 'SAP SE', 'H2O.ai', 'Freenome Holdings Inc.', 'Baidu Inc.', 'Ayasdi Inc.', 'Salesforce.com Inc.', 'DataRobot Inc.', 'Big Panda Inc.', 'Teradata Corporation', 'Domino Data Lab Inc.', 'Cloudera Inc.', 'RapidMiner Inc.'

Machine learning technology is already helping in a number of healthcare-related situations. This technology is used in the healthcare industry to evaluate millions of different data points, forecast outcomes, provide quick risk assessments, and allocate resources precisely, among many other things. For instance, today IBM Watson Health and Healthcare IT Leaders announced the combination of IBM Digital Health Pass and Healthcare IT Leaders Healthy Returns, a full set of corporate COVID-19 services.

Machine learning will become a significant trend in security analytics as businesses use more sophisticated security frameworks. Cyber specialists struggle greatly to detect and analyze prospective cyber threats and attacks since there is so much data being produced and transmitted across many networks. As cyber risks become more pervasive and sophisticated, machine learning algorithms also help enterprises and security teams anticipate, detect, and recognize cyber-attacks more swiftly. Due to this, integrating advanced learning capabilities into analytics-driven solutions is unquestionably growing in importance.

In 2021, North America held the largest share in the global machine learning market. The market growth in the region is attributed to the presence of significant R&D investors like IBM Corporation, Amazon.com, and Oracle Corporation. Additionally, significant expenditures and the availability of a well-established IT infrastructure are anticipated to fuel market expansion in North America. For instance, the United States Defense Advanced Research Projects Agency (DARPA) committed USD 2 billion to the advancement of AI technology.

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Global Machine Learning Market

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