Artificial Intelligence (AI) in Financial Asset Management Market Size 2021 Research Report Studied by Focusing on Top Companies Data, Emerging Growth, Industry Revenue, Sales Value, Future Prospect, and Regional Outlook 2030

In a recent published report, Kenneth Research has updated the market report for Artificial Intelligence (AI) in Financial Asset Management Market for 2021 till 2030. Report further now discusses; the various strategies to be adopted or being adopted by the business players across the globe at various levels in the value chain. In the view of the global economic slowdown, we further estimated that China, India, Japan and South Korea to recover fastest amongst all the countries in the Asian market. Germany, France, Italy, Spain to take the worst hit and this hit is expected to be regain 25% by the end of 2021- Positive Growth in the economic demand and supply.

U.S. Market recovers fast; In a release on May 4th 2021, the U.S. Bureau and Economic Analsysis and U.S. Census Bureau mentions the recovery in the U.S. International trade in March 2021. Exports in the country reached $200 billion, up by $12.4  billion in Feb 2021. Following the continuous incremental trend, imports tallied at $274.5 billion, picked up by $16.4 billion in Feb 2021. However, as COVID19 still haunts the economies across the globe, year-over-year (y-o-y) avergae exports in the U.S. declined by $7.0 billion from March 2020 till March 2021 whilest imports increased by $20.7 billion during the same time. This definitely shows how the market is trying to recover back and this will have a direct impact on the Healthcare/ICT/Chemical industries, creating a huge demand for Artificial Intelligence (AI) in Financial Asset Management Market products.

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Factors such as the growing trade on services across nations worldwide, backed by increasing urbanization and development of several new micro, small and medium enterprises are anticipated to promote towards the growth of the MARKET throughout the forecast period. According to the statistics by the Organization for Economic Co-operation and Development (OECD), the United States recorded to be the largest exporters of international trade in services amongst all the OECD nations with a value worth USD 827 billion in the year 2018.

The report titled Artificial Intelligence (AI) in Financial Asset Management Market has been added by Kenneth Research, provides detailed insights of the market scenario which is further classified on the basis of market size and market volume, along with the compound annual growth rate (CAGR) of the market over the forecast period, i.e., 2020-2025.

“Final Report will add the analysis of the impact of COVID-19 on this industry.”

Global AI in Financial Asset Management Market – Drivers, Restraints, Opportunities, Trends, and Forecast up to 2025
In recent years, financial institutions are adopting the artificial intelligence (AI) technology for managing their financial assets and reducing operating cost, thereby increasing the revenue. Several fintech companies and banks are rapidly deploying voice assistants and chatbots to manage customer interactions and resolve issues (queries) with minimal human involvement. Machine learning, computer vision, and speech recognition technologies are in demand and major number of acquisitions in the recent years were associated with these technologies, and the same technologies will dominate the investment patterns in the coming years.

Major areas where AI could be deployed in manging financial assets include fraud detection, personal financial management, and investment banking. With the implementation of financial asset management, the financial institutions can effectively manage their financial assets and meet expectations of the changing customer behavior by leveraging technologies, including AI, predictive analytics, and machine learning. This will assist organizations in automation and improves business processes, thus resulting in enhanced customer’s experience.

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The global AI in financial asset management market is categorized based on the presence of diversified small and large vendors. Genpact, IBM, Infosys, and Synechron are among the key vendors increasing their global footprint in this space. However, various vendors such as IPsoft and Lexalytics are competing with them in the global market by providing solutions at a competitive price with the customized product offering. The market growth is fuelled by key vendors entering into strategic partnerships with suppliers and third-party vendors in the ecosystem to increase the global footprint and customer service capabilities.

Natural language processing (NLP) is the fastest growing technology in the global AI in financial asset management market owing to the increasing deployment of chatbots and virtual personal assistants in the banking sector. Additionally, increasing demand for sentiment analysis and management of huge volumes of contracts, will drive the NLP segment during the forecasted period. AI in Financial Asset Management Market

Data analysis is having the largest market share in the application segment of the global AI in financial asset management market primarily due to availability of huge volumes of data being generated from multiple sources and need to analyse theses datasets for decision making. Investment banks are implementing AI in the areas such as investment decisions, alternative investment strategies, managing hedge funds and others.

According to Kenneth Research, the global AI in financial asset management market is expected to grow at a CAGR of 33.84% during the forecast period 2019–2025. The aim of this report is to define, describe, segment, and forecast the AI in financial asset management market on the basis of technology, application, and regions. In addition, the report helps the venture capitalists in understanding the companies better and make well-informed decisions. The report is primarily designed to provide the company’s executives with strategically substantial competitor information, data analysis, and insights about the market, development, and implementation for an effective marketing plan.

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The global AI in financial asset management market is categorized based on three segments – technology, application, and regions.
o Technology includes Predictive Analytics, Machine Learning, NLP, and Others
o Application includes Conversational Platforms, Data Analysis, Risk & Compliance, Portfolio Optimization, Process Automation, and Others
o Regions include Americas, Europe, APAC, and RoW (RoW includes Middle East and Africa; APAC includes East Asia, South Asia, South-East Asia, and Oceania)

• The report comprises an analysis of vendors, which includes financial status, business units, key business priorities, SWOT, business strategies, and views.
• The report covers the competitive landscape, which includes mergers & acquisitions, joint ventures & collaborations, and competitor comparison analysis.
• In the vendors profile section, for the companies that are privately held, the financial information and revenue of segments will be limited.

The key players offering AI in financial asset management across the globe include:
• Genpact
• IBM
• Infosys
• Synechron
• Next IT
• IPsoft
• Lexalytics
• Narrative Science

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About Kenneth Research:

Kenneth Research provides market research reports to different individuals, industries, associations and organizations with an aim of helping them to take prominent decisions. Our research library comprises of more than 10,000 research reports provided by more than 15 market research publishers across different industries. Our collection of market research solutions covers both macro level as well as micro level categories with relevant and suitable market research titles. As a global market research reselling firm, Kenneth Research provides significant analysis on various markets with pure business intelligence and consulting services on different industries across the globe. In addition to that, our internal research team always keep a track on the international and domestic market for any economic changes impacting the products’ demand, growth and opportunities for new and existing players.

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