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Machine Learning Industry 2030

Machine Learning Industry Data Book - Machine Learning, Deep Learning, Natural Language Processing Market

Machine Learning Industry Data Book | Forecast 2030

Machine Learning Industry Data Book – Machine Learning, Deep Learning, Natural Language Processing Market

Grand View Research’s Machine Learning Industry data book is a collection of market sizing information & forecasts, competitive benchmarking analyses, macro-environmental analyses, and regulatory & technological framework studies. Within the purview of the database, all such information is systematically analyzed and provided in the form of presentations and detailed outlook reports on individual areas of research.


Access the Global Machine Learning Industry Data Book, 2022 to 2030, compiled with details like market sizing information & forecasts, trade data, pricing intelligence, competitive benchmarking, macro-environmental analyses, and regulatory & technological framework studies

 

Machine Learning Market Report Highlights

  • The emergence of connected AI is anticipated to make it possible for ML algorithms to learn based on newly available information continuously. These developments are expected to propel the market expansion in the upcoming years. As these technologies continue to advance and mature, they are expected to have a transformative impact on various industries, shaping the way businesses operate, make decisions, and deliver value to customers

 

  • The advertising & media segment dominated the market with a revenue share of 20.0% in 2022. The advertising and media sector accounted for the largest share in 2022 owing to capabilities such as buyer’s optimization, data processing, and analysis provided by the technology

 

  • Factors such as advancements in computing power, increased data generation, and the need for automated decision-making drive the demand for machine learning solutions across various industries

 

  • The Asia Pacific region is expected to grow at the fastest CAGR of 43.5% from 2023 to 2030. The region’s large population, diverse industries, and growing investment in technological infrastructure all contribute to market growth

 

Order your copy of the Free Sample of “Machine Learning Industry Data Book – Machine Learning, Deep Learning, Natural Language Processing Market Size, Share, Trends Analysis, And Segment Forecasts, 2023 – 2030, published by Grand View Research

 

Deep Learning Market Report Highlights

 

  • The hardware segment is expected to witness the fastest growth over the forecast period owing to the growing demand for deep learning chipsets and reduced hardware costs

 

  • The Field Programmable Gate Array (FPGA) possesses high computational capability and has better power efficiency. As a result, the FPGA segment is expected to expand at the highest CAGR during the forecast period

 

  • Deep learning algorithms exhibit great potential in the automated extraction of complex data, thereby excelling in big data analytics application

 

  • Deep learning holds the potential to revolutionize the healthcare industry in the coming years by applying neural networks to analyze patient datasets to provide better outcomes

 

  • Several government initiatives related to digitalization and the growing adoption of next-generation technologies such as AI and machine learning in the APAC region exhibited the strong growth of deep learning technology

 

Natural Language Processing Market Report Highlights

 

  • The healthcare segment appeared as the largest segment in the terms of revenue share throughout the forecast period. However, the IT & Telecommunication segment is projected to expand with the highest growth rate

 

  • Data extraction emerged as the largest segment in 2022 and is projected to generate revenue of over USD 77.00 billion by 2030

 

  • Asia Pacific is projected to witness the highest CAGR of 42.7% and is estimated to reach USD 115.24 billion by 2030. The NLP market is projected to expand with rising demand for better customer experiences, growing smart device usage, and expanding application options
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