LAMEA AI in Asset Management Market By Technology (Machine Learning, Natural Language Processing and Others), By Deployment Mode (On-Premise and Cloud), By Application (Portfolio Optimization, Risk & Compliance, Conversational Platform, Process Automation, Data Analysis and Others), By End User (BFSI, Automotive, Healthcare, Retail & eCommerce, Energy & Utilities, Media & Entertainment and Others), By Country, Industry Analysis and Forecast, 2020 - 2026
Special Offering: Industry Insights | Market Trends | Highest number of Tables | 24/7 Analyst Support
Get in-depth analysis of the COVID-19 impact on the LAMEA AI in Asset Management Market
Market Report Description
The Latin America, Middle East and Africa AI In Asset Management Market would witness market growth of 48.8% CAGR during the forecast period (2020-2026). The asset management software that is AI-powered has competencies to detect glitches from the collected data by company sensors. Oil & gas companies recurrently suffer from unpredicted replacements and breakdowns and hence, likely to create demand for the application of AI in asset management to reduce this cost.
The worldwide application of artificial intelligence in the asset management industry has been progressively expanding and will show substantial transformations as there is a fundamental shift from traditional to advanced technology and global finance. The evident rapid progress in technology that is observed from the past few decades has considerably improved the methods by which industry professionals store their data and the way data is processed. The cost of pooling and processing of data from the stock market across verticals has subsequently reduced and has brought new possibilities for effective decision-making mechanisms in the industries. Analytics is transforming the problem-solving patterns of the asset managing industry by revolutionizing the working methods of some of the dimensions, like product recommendations, customer churn, client profiling, sentiment analysis, and marketing and strategy.
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 Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.
Free Valuable Insights: AI in Asset Management Market in LAMEA is expected to register a CAGR of 48.8% 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.
Scope of the LAMEA AI in Asset Management Market Analysis
- Machine Learning
- Natural Language Processing
By Deployment Mode
- Portfolio Optimization
- Risk & Compliance
- Conversational Platform
- Process Automation
- Data Analysis
- Retail & eCommerce
- Energy & Utilities
- Media & Entertainment
- Saudi Arabia
- South Africa
- Rest of LAMEA
- IBM Corporation
- Microsoft Corporation
- Genpact Limited
- Infosys Limited
- Amazon.com, Inc.
- BlackRock, Inc. (PNC Financial Services Group)
- IPsoft, Inc.
- Salesforce.com, Inc.
- Lexalytics, Inc.
- Narrative Science, Inc.
Unique Offerings from KBV Research
- Exhaustive coverage
- Highest number of market tables and figures
- Subscription based model available
- Guaranteed best price
- Assured post sales research support with 10% customization free