The Asia Pacific AI In Asset Management Market would witness market growth of 44% CAGR during the forecast period (2020-2026). From the past few years, financial institutions are implementing artificial intelligence (AI) technology in order to manage their financial assets and minimizing the operating cost, thus growing the revenue. Numerous banks and fintech companies are swiftly deploying voice chatbots and assistants to manage the interactions with the customer and try to resolve issues (queries) with the least human involvement. Machine learning, speech recognition, and computer vision technologies are currently in demand, and the majority of acquisitions in the past few years were accompanied by these technologies. The same technologies will lead the investment patterns in the forecast period.
The main areas in which AI is deployed in financial assets management embrace personal financial management, fraud detection, and investment banking. The financial institutions can effectively manage their financial assets with the use of financial asset management, and it is also beneficial in meeting the expectations of the changing behavior of the customers by leveraging these technologies, such as AI, machine learning, and predictive analytics. This will help the organizations in automation and improves business processes, thus resulting in enhanced customer experience.
Artificial intelligence (AI) has proven to have a potential impact on the wealth and assets management industry from the past few decades. For example, AI-enabled solutions such as Chabot or conversational platforms that have enhanced interactions with the customers and related services. Fintech organizations in the Business-to-Consumer (B2C) domain, offer the end-use industries with an extensive range of AI-supported advisor services that promote the automated investment decisions. Though, the applications of AI in Business-to-Business (B2B) markets, like fixed-income asset management, currently rely on more on traditional data processing that is based on human interactions.
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 China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.
Free Valuable Insights: AI in Asset Management Market in Asia Pacific is expected to register a CAGR of 44% 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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