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Machine Learning Market Potential Growth, Share, Demand and Analysis of Key Players- Research Forecasts to 2029

According to a comprehensive research report by Fortune Business Insights, “Machine Learning Market Research Report: by Component, Technology, Device Type, Vertical -Forecast till 2029”, The reports further predict the market to flourish at a robust CAGR during the assessment timeframe.

The Machine Learning Market is expected to garner substantial traction in future years. The rising use of AR technology in head-mounted and head-up displays (HUD) substantiates the market growth and asserts that the global Machine Learning Market is estimated to reach 2029, growing throughout the assessment period (2022-2029).

The global machine learning (ML) market size was valued at USD 15.44 billion in 2021. The market is expected to grow from USD 21.17 billion in 2022 to USD 209.91 billion by 2029, exhibiting a CAGR of 38.8% during the forecast period.

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Key Insights from Primary Research:

  • According to the analysis shared by our research forecaster, the Machine Learning Market is likely to expand at a CAGR of around during the forecast period (2022-2029).
  • The increase in revenue is mostly attributable to the demand for and sales of VR-based hardware in the gaming sector, by component segment.
  • Based on Device Segment Analysis Mobile Sector dominate the Machine Learning Market.
  • On the basis of region, North America is anticipated to have a significant share of the industry during the projected period.

Covid-19 Scenario:

  • The Covid-19 pandemic favored the growth of the market due to a rise in the shift toward the adoption of technologies since most businesses implemented the work-from-home culture.
  • Digital transformation and industry 4.0 had boosted the demand for Machine Learning Market. Moreover, the players were collectively forced to deploy multiple new and agile approaches to improve the consumer experience.

Companies involved in the global Machine Learning Market research report are:

  • Amazon Web Services, Inc. (Washington, United States)
  • Baidu, Inc. (Beijing, China)
  • Domino Data Lab, Inc. (California, United States)
  • Microsoft Corporation (Washington, United States)
  • Dataiku (Paris, France)
  • Luminoso Technologies, Inc. (Massachusetts, United States)
  • TrademarkVision (Pennsylvania, United States)
  • SAP SE (Walldorf, Germany)
  • BigML, Inc. (Oregon, United States)
  • Fair Isaac Corporation (FICO) (California, United States)
  • Hewlett Packard Enterprise Development LP (HPE) (California, United States)
  • Intel Corporation (California, United States)
  • IBM Corporation (New York, United States)
  • com AG (Zurich, Switzerland)
  • RapidMiner, Inc. (Massachusetts, United States)
  • Angoss Software Corporation (Toronto, Canada)
  • ai (California, United States)
  • SAS Institute Inc. (North Carolina, United States)
  • Google, Inc. (California, United States)
  • Alpine Data (California, United States)

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Driver: Rising investments in the market

Over the past few years, investments in the business have grown significantly. The Machine Learning Market business is receiving significant investment from firms including Facebook Corporation, Intel Corporation, Qualcomm, Inc., Alphabet, Inc., Comcast Ventures, and Samsung Group. Additionally, a number of research organizations are investigating the AR application market for a range of goods and uses. Governments finance certain research institutes, while others are supported by private businesses and venture capitalists. Businesses in the consumer, healthcare, aerospace & military, retail, and marketing sectors all benefit.

Influencing Factors:

  • Market Environment: Government Policies, Technological Changes, Market Risks.
  • Market Drivers: Growing Demand, Reduction in Cost, Market Opportunities and Challenges.

Machine Learning Market Forecast:

  • Market Size Forecast: Global Overall Size, By Type/Product Category, By Applications/End Users, By Regions/Geography.
  • Key Data (Revenue): Market Size, Market Share, Growth Rate, Growth, Product Sales Price.

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