The Europe AI In Asset Management Market would witness market growth of 39.8% CAGR during the forecast period (2020-2026). Artificial intelligence is incorporated with the wealth and asset management for numerous purposes, like enhancing the operational efficiency and efficacy, customer interfaces and experience, and also the investment processes. Important applications of AI to raise operational efficiencies such as quality checking, monitoring, and the exception handling of the huge amount of data even in financial instruments. The data quality improvement is of the topmost importance as it diminishes operational risks and also helps in client retention.
Researchers have made remarkable signs of progress in developing the eventual human-machine interaction systems in the past few years. AI is also in capturing audio, text, and imagery data obtained from different public sources and vendor/internal databases by implementing NLP, computer vision, and voice recognition programs. For example, these programs are used for the extraction of data from issuer filings for transcription of analyst conference calls and valuation models. More widespread programs then process the information collected from different sources to make comprehensions into the investment decision-making process. This frequently requires advanced AI techniques, like that of machine learning and deep learning.
With the use of predictive maintenance technologies, these users may gain access into the predictive insights occurring at present and uncover the trends, patterns, and relationships. This further helps in making decisions that are regarding the speed of businesses. Companies might increase speed for getting better decisions along with AI (Artificial Intelligence) powered analytics, which further extracts from insights virtually and any relevant formless data irrespective of format and origin.
Based on Technology, the market is segmented into Machine Learning, Natural Language Processing and Others. Based on Deployment Mode, the market is segmented into On-Premise and Cloud. Based on Application, the market is segmented into Portfolio Optimization, Risk & Compliance, Conversational Platform, Process Automation, Data Analysis and Others. Based on End User, the market is segmented into BFSI, Automotive, Healthcare, Retail & eCommerce, Energy & Utilities, Media & Entertainment and Others. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.
Free Valuable Insights: AI in Asset Management Market in Europe is expected to register a CAGR of 39.8% during the forecast period (2020-2026)
The market research report covers theanalysis of key stake holders of the market. Key companies profiled in the report include IBM Corporation, Microsoft Corporation, Genpact Limited, Infosys Limited, Amazon.com, Inc., BlackRock, Inc. (PNC Financial Services Group), IPsoft, Inc., Salesforce.com, Inc., Lexalytics, Inc. and Narrative Science, Inc.
Market Segmentation:
By Technology
By Deployment Mode
By Application
By End-User
By Country
Companies Profiled
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