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Artificial Intelligence (AI) in Asset Management Market Trends

  • Report ID: GMI5970
  • Published Date: Jun 2023
  • Report Format: PDF

AI in Asset Management Market Trends

The increasing adoption of machine learning and deep learning will drive market growth. Machine learning and deep learning algorithms excel at processing and analyzing large amounts of data. Companies can use this technology to extract valuable insights from various data sources such as financial data, business metrics, company announcements, and newspapers. The ability to analyze complex data in real time enables asset managers to make more informed investment decisions. In addition, the use of machine learning and deep learning in asset management stems from their ability to process complex data, build better understanding, improve risk management, improve evidence, and provide personalized recommendations.
 

Authors: Preeti Wadhwani

Frequently Asked Questions (FAQ) :

The market size of AI in asset management surpassed USD 2.5 billion in 2022 and will grow at a CAGR of over 24% between 2023 and 2032, owing to the exponentially growing data volumes, tight regulations, and low interest rates.

The machine learning segment held a market value of over USD 1.5 billion in 2022 and will grow significantly during 2023 and 2032, as machine learning is widely used in quantitative modeling and alpha generation techniques.

North America market accounted for 30% revenue share in 2022, as the region has strong ecosystem of technology companies, research centers, and financial institutions that actively explore & use artificial intelligence for real estate management.

Web Services, Inc., BlackRock, Inc., CapitalG, Charles Schwab & Co., Inc., Genpact, Intel, Infosys Limited, International Business Machines Corporation, IPsoft Inc., Lexalytics, Microsoft, TABLEAU SOFTWARE, LLC, Next IT Corp., S&P Global, and Salesforce, Inc.

AI in Asset Management Market Scope

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Premium Report Details

  • Base Year: 2022
  • Companies covered: 15
  • Tables & Figures: 313
  • Countries covered: 20
  • Pages: 300
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