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Artificial Intelligence (AI) in Asset Management Market Size

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

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AI in Asset Management Market Size

AI in Asset Management Market size valued at USD 2.5 billion in 2022 and is anticipated to grow at a CAGR of 24% between 2023 and 2032. Exponentially growing data volumes, tight regulations, and low interest rates are forcing asset managers to rethink their traditional business strategies. In addition, the latest technological developments have paved the way for specialization in asset management. Many fintech companies are using knowledge-based & domain-rich machine learning and Natural Language Processing (NLP) techniques to provide financial & investment services.

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For example, in February 2023, Morningstar, Inc. partnered with TIFIN Group to provide TIFIN Asset Manager Platform (AMP) with aggregated insights from its products to strengthen the asset manager platform’s algorithmic models for distribution intelligence. The new AMP platform combines the expertise in distribution, marketing, and sales operations into a single software platform, helping asset managers in arranging distribution for non-residents, organization, and stores in a timely manner.

AI in Asset Management Market Report Attributes
Report Attribute	Details
Base Year:	2022
AI in Asset Management Market Size in 2022:	USD 2.5 Billion
Forecast Period:	2023 to 2032
Forecast Period 2023 to 2032 CAGR:	24.2%
2032 Value Projection:	USD 20.54 Billion
Historical Data for:	2018 - 2022
No. of Pages:	300
Tables, Charts & Figures:	313
Segments covered:	Technology, Deployment Model, Application, End-Use
Growth Drivers:	Growing adoption of cloud-based artificial intelligence services in asset management The growing importance of asset tracking in BFSI sector Strong government initiatives to promote AI-based infrastructure High investments by enterprises in AI services
Pitfalls & Challenges:	Growing number of innovative startups across the globe The rising number of data privacy and cybersecurity issues

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AI in asset management encompasses the use of AI algorithms, machine learning, natural language processing, and big data analytics to automate & enhance various aspects of asset management. This includes data analysis, investment decision-making, risk management, portfolio optimization, compliance monitoring, and personalized investment solutions.

Regulatory and compliance concerns can hinder AI in asset management market growth. Asset management is subject to strict regulations and compliance standards. The use of digital technology presents additional challenges as algorithms and models must adhere to rules of investor protection, risk management, privacy, and ethical thinking. Introducing the regulatory environment and ensuring compliance with changing regulations can present challenges in the adoption of AI in asset management.

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.