The up-to-date coverage of the latest report Global Natural Language Generation (NLG) in Asset Management Market provides a detailed synopsis as well as a consistent evaluation of accurate profits over the forecasted timespan. Current trends, industry analysis, and growth development represented in the report are of great help for the new industry players entering the market. This market research report includes an in-depth analysis of global and regional markets with the understanding given for variation in the growth of the industry in particular regions, giving a specific investigation of the market status, venture plans, establishment and usage, value patterns.
Top Players in Natural Language Generation (NLG) in Asset Management Market are: Genpact (United States), IBM (United States), Deloitte (United States), Yseop (United States), Narrative Science (United States), Infosys (India), Synechron (New York), TCS (India), Automated Insights (United States), Arria NLG Limited (United Kingdom)
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Definition:
In the last couple of years, data generated on banks’ digital asset management platforms has grown enormously and at a rapid pace. Banks can successfully deploy NLG tools to generate product and service descriptions, investment recommendations, financial reports, and portfolio analysis summaries. Additionally, these tools can help develop narratives for data, customer emails, social media posts, and so on. Advanced NLG technology offers more capabilities than a simple language generation tool and can handle a number of insights generated through data analytics tools. It can help deliver key advantages to wealth management firms. NLG technology-based systems are a lot more robust and scalable to handle huge volumes of data, and thus, more equipped to handle future demands.
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Natural Language Generation (NLG) in Asset Management Market Drivers:
Natural Language Generation (NLG) in Asset Management Market Latest Trends:
Market Opportunity:
Market Challenges:
The Global Natural Language Generation (NLG) in Asset Management Market segments and Market Data Break Down are illuminated below:
by Deployment Mode (On-premises, Cloud), Function (Client Relationship Management, Fraud Detection and Anti-money Laundering, Real-time Risk Analysis & Compliance Management, Performance Management, Others (Portfolio Optimization, Process Automation, Predictive Analysis)), Component (Software, Service (Professional Service, Managed Service)), Organization Size (SMEs, Large Enterprises)
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Key Strategic Developments in Natural Language Generation (NLG) in Asset Management Market:
The research includes the key strategic activities such as Research & Development (R&D) initiatives, Merger & Acquisition (M&A) completed, agreements, new launches, collaborations, partnerships & (JV) Joint ventures, and regional growth of the key competitors operating in the market at global and regional scale.
The Natural Language Generation (NLG) in Asset Management Industry is severely competitive and fragmented due to the existence of various established players taking part in different marketing strategies to increase their market share. The vendors operating in the Natural Language Generation (NLG) in Asset Management market is profiled based on price, quality, brand, product differentiation, and product portfolio.
Region Included are: North America, Europe, Asia Pacific, Oceania, South America, Middle East & Africa
Country Level Break-Up: United States, Canada, Mexico, Brazil, Argentina, Colombia, Chile, South Africa, Nigeria, Tunisia, Morocco, Germany, United Kingdom (UK), the Netherlands, Spain, Italy, Belgium, Austria, Turkey, Russia, France, Poland, Israel, United Arab Emirates, Qatar, Saudi Arabia, China, Japan, Taiwan, South Korea, Singapore, India, Australia and New Zealand etc.
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Extract from Table of Content:
Chapter 01 – Executive Summary
1.1 360 Degree Synopsis
1.2 Market value (US$ million).
Chapter 02 – Market Overview
Chapter 03 – Key Success Factors
3.1 Strategies adopted by key market participants and factors that have turned into success.
3.2 Additional viewpoint on global average pricing analysis benchmark, and consumer’s sentiments’ analysis.
Chapter 04 – Covid-19 Crisis Analysis on Natural Language Generation (NLG) in Asset Management Market
Chapter 05 – Global Natural Language Generation (NLG) in Asset Management Market – Pricing Analysis
Chapter 06 – Natural Language Generation (NLG) in Asset Management Market Background
6.1 Macroeconomic factors affecting the Natural Language Generation (NLG) in Asset Management market
6.2 Explore supply chain and value chain analysis.
6.3 In-depth information about the market dynamics and their consequences.
Chapter 07 — Natural Language Generation (NLG) in Asset Management Market Segmentation
Chapter 08 – Key and Emerging Countries Analysis in Natural Language Generation (NLG) in Asset Management Market
Chapter 09 – Natural Language Generation (NLG) in Asset Management Market Structure Analysis
Chapter 10 – Natural Language Generation (NLG) in Asset Management Market Competitive Analysis
10.1 Market Concentration Rate
10.2 Competition Scenario: BCG Matrix [Relative Market Share v/s Revenue Growth Rate]
10.3 Heat Map Analysis
10.4 Comparative Market Share Analysis by Players (2018-2019) Rank, [% Market Share, Market Revenue]
Chapter 11 – Assumptions and Acronyms
Chapter 12 – Research Methodology
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