Applications in healthcare to present lucrative opportunities

Applications in healthcare to present lucrative opportunities

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Global machine learning market

Global machine learning market

Global machine learning market

Dublin, Nov. 04, 2022 (GLOBE NEWSWIRE) — The report “Global Machine Learning Market by Component, By Deployment, By Enterprise Size, By End User, and By Region, Forecast and Analysis 2022-2028” has been released. added to from offer.

Global Machine Learning Market was valued at USD 16.2 Billion in 2021, and it is projected to reach a value of USD 164.05 Billion by 2028, growing at a CAGR of over 39.2% over the period. forecast (2022-2028).

Software programs may be able to accurately predict outcomes without being given explicit instructions to do so by using machine learning (ML), which is a type of artificial intelligence (AI). Machine learning algorithms use past data as input to predict future output values. As enterprises implement increasingly sophisticated security frameworks, machine learning will emerge as an important trend in security analytics, driving the global machine learning market.

Since so much data is generated and sent over so many networks, cyber specialists find it difficult to identify and analyze potential cyber threats and attacks. Machine learning algorithms can help businesses and security teams anticipate, detect and recognize cyber attacks faster as cyber risks become more widespread and sophisticated, with supply chain attacks increasing by 42% in the first quarter of 2021 in the United States, affecting up to 7,000,000 people.

This collaboration can help companies across all industries, including public sector, manufacturing and financial services, quickly and securely innovate and address issues such as ransomware, supply chain disruptions, cyber threats and the demand for frictionless services in the 5G era. During the forecast period, this is expected to boost the global machine learning market.

Segments covered in this report

The global machine learning market is segmented on the basis of component, company size, deployment, end user, and region. On the basis of component, the global machine learning market is segmented into solutions and services. Based on company size, the market is segmented into SMEs and large enterprises.

Based on deployment, the global machine learning market is segmented into cloud and on-premises.

On the basis of end users, the global machine learning market is segmented into healthcare, retail, IT & telecommunications, banking, financial services & insurance (BFSI), automotive & transportation, advertising & media, manufacturing & others (energy and utilities, etc.). Based on region, it is categorized into North America, Europe, Asia-Pacific, Latin America and MEA.


Many health care situations are already improved by machine learning technology. The healthcare industry uses this technology, among other things, to accurately allocate resources, predict outcomes, quickly assess risk, and assess millions of distinct data points. For example, IBM Watson Health and Healthcare IT Leaders announced today today that a set of COVID-19 enterprise services, IBM Digital Health Pass and Healthcare IT Leaders Healthy Returns, would be combined.

Diagnosis with medical imaging: Combining machine learning and deep learning, computer vision is a state-of-the-art technique. This has been endorsed by the Microsoft InnerEye initiative, which focuses on image diagnostic tools for image analysis. For example, a group of IBM and Pfizer researchers have created an artificial intelligence (AI) model that can use small amounts of linguistic data (gathered from clinical tests of verbal cognition) to predict the onset of Alzheimer’s disease in healthy people with an accuracy of 71%.


Market expansion is facilitated by the many advantages of the ML platform. The platform, on the other hand, lacks a few essential components that are expected to hinder market expansion. The market is strongly constrained by the existence of imperfect and sometimes underdeveloped algorithms. Industrial companies using big data and machine learning need to be precise. Human intervention is required until all system parameters are set and the margin of error is near or equal to zero. Hence, the expansion of the global machine learning market may be hampered by this feature.


The field of retail analytics has grown rapidly in recent years. Advanced data analytics technologies are used by many e-commerce companies, including Alibaba, eBay and Amazon, to boost sales and improve customer satisfaction. The advancement of speech and voice recognition technologies has led to the development of cognitive speech coding methods based on ML principles.

Machine learning will become an important trend in security analytics as enterprises adopt more advanced security frameworks. Cybersecurity professionals find it difficult to track and analyze potential cyberattacks because a large amount of data is created and exchanged across multiple networks. As cyber threats become more pervasive and complex, machine learning algorithms are also helping organizations and security teams anticipate, track, and recognize cyberattacks faster. Therefore, integrating advanced learning capabilities into analytics-based solutions is unquestionably becoming an important industry trend.

Companies mentioned

  • IBM Corporation (New York, USA)

  • SAP SE (Walldorf, Germany)

  • Oracle Corporation (Texas, USA)

  • Hewlett Packard Enterprise Company (Texas, USA)

  • Microsoft Corporation (Washington, USA)

  • Amazon, Inc. (Washington, USA)

  • Intel Corporation (California, USA)

  • Fair Isaac Corporation (California, USA)

  • SAS Institute Inc. (North Carolina, USA)

  • BigML, Inc. (Oregon, USA)

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