AI in Asset Management Market Updates by 2031
Artificial intelligence is integrated with asset management for different purposes, such as customer experience and interfaces, improving operational efficiency, and investment processes. Essential applications of AI to increase operational efficiency involve monitoring, quality checking, and the exception handling of the vast quantity of data on financial instruments.
MARKET DYNAMICS
Adoption of intelligent systems in the data-driven financial sector and changing customer behavior and expectation are some of the major factors driving the growth of AI in the asset management market. Moreover, the implementation of AI for merger and acquisition and adoption of cognitive systems in core banking operations are some of the other factors driving the growth of the AI in the asset management market.
MARKET SCOPE
The "Global AI in Asset Management Market Analysis to 2031" is a specialized and in-depth study of the AI in asset management market with a special focus on the global market trend analysis. The report aims to provide an overview of AI in asset management market with detailed market segmentation by deployment, application, vertical. The global AI in asset management market is expected to witness high growth during the forecast period. The report provides key statistics on the market status of the leading AI in asset management market players and offers key trends and opportunities in the AI in asset management market.
MARKET SEGMENTATION
The global AI in asset management market is segmented on the basis of deployment, application, vertical. On the basis of deployment, the market is segmented as cloud, on-premises. On the basis of application, the market is segmented as portfolio optimization, conversational platform, risk & compliance, data analysis, process automation, others. On the basis of vertical, the market is segmented as BFSI, healthcare, retail & e-commerce, energy & utilities, media & entertainment, automotive, others.
REGIONAL FRAMEWORK
The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides overview and forecast of the global AI in asset management market based on various segments. It also provides market size and forecast estimates from year 2021 to 2031 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America. The AI in asset management market by each region is later sub-segmented by respective countries and segments. The report covers analysis and forecast of 18 countries globally along with current trend and opportunities prevailing in the region.
The report analyzes factors affecting AI in asset management market from both demand and supply side and further evaluates market dynamics effecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA and South America after evaluating political, economic, social and technological factors effecting the AI in asset management market in these regions.
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The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides overview and forecast of the global AI in asset management market based on various segments. It also provides market size and forecast estimates from year 2021 to 2031 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America. The AI in asset management market by each region is later sub-segmented by respective countries and segments. The report covers analysis and forecast of 18 countries globally along with current trend and opportunities prevailing in the region.
The report analyzes factors affecting AI in asset management market from both demand and supply side and further evaluates market dynamics effecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA and South America after evaluating political, economic, social and technological factors effecting the AI in asset management market in these regions.
MARKET PLAYERS
The reports cover key developments in the AI in asset management market as organic and inorganic growth strategies. Various companies are focusing on organic growth strategies such as product launches, product approvals and others such as patents and events. Inorganic growth strategies activities witnessed in the market were acquisitions, and partnership & collaborations. These activities have paved way for expansion of business and customer base of market players. The market players from AI in asset management market are anticipated to lucrative growth opportunities in the future with the rising demand for AI in asset management market. Below mentioned is the list of few companies engaged in the AI in asset management market.
The report also includes the profiles of key AI in asset management market companies along with their SWOT analysis and market strategies. In addition, the report focuses on leading industry players with information such as company profiles, components and services offered, financial information of last 3 years, key development in past five years.
- Genpact
- Infosys Limited
- IBM Corporation
- Squirro AG
- Symphony SummitAI
- Brainalyzed Finance GmbH
- Liquidnet Holdings, Inc.
- XAI Asset Management Ltd
- Castle Ridge Asset Management Limited.
- Intel Corporation
The Insight Partner's dedicated research and analysis team consist of experienced professionals with advanced statistical expertise and offer various customization options in the existing study.
- Sample PDF showcases the content structure and the nature of the information with qualitative and quantitative analysis.
- Request discounts available for Start-Ups & Universities
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
This text is related
to segments covered.
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
This text is related
to country scope.
1.INTRODUCTION
1.1.SCOPE OF THE STUDY
1.2.THE INSIGHT PARTNERS RESEARCH REPORT GUIDANCE
1.3.MARKET SEGMENTATION
1.3.1AI In Asset Management Market - By Deployment
1.3.2AI In Asset Management Market - By Application
1.3.3AI In Asset Management Market - By Vertical
1.3.4AI In Asset Management Market - By Region
1.3.4.1By Country
2.KEY TAKEAWAYS
3.RESEARCH METHODOLOGY
4.AI IN ASSET MANAGEMENT MARKET LANDSCAPE
4.1.OVERVIEW
4.2.PORTEr's FIVE FORCES ANALYSIS
4.2.1Bargaining Power of Buyers
4.2.1Bargaining Power of Suppliers
4.2.1Threat of Substitute
4.2.1Threat of New Entrants
4.2.1Competitive Rivalry
4.3.ECOSYSTEM ANALYSIS
4.4.EXPERT OPINIONS
5.AI IN ASSET MANAGEMENT MARKET - KEY MARKET DYNAMICS
5.1.KEY MARKET DRIVERS
5.2.KEY MARKET RESTRAINTS
5.3.KEY MARKET OPPORTUNITIES
5.4.FUTURE TRENDS
5.5.IMPACT ANALYSIS OF DRIVERS AND RESTRAINTS
6.AI IN ASSET MANAGEMENT MARKET - GLOBAL MARKET ANALYSIS
6.1.AI IN ASSET MANAGEMENT - GLOBAL MARKET OVERVIEW
6.2.AI IN ASSET MANAGEMENT - GLOBAL MARKET AND FORECAST TO 2028
6.3.MARKET POSITIONING/MARKET SHARE
7.AI IN ASSET MANAGEMENT MARKET - REVENUE AND FORECASTS TO 2028 - DEPLOYMENT
7.1.OVERVIEW
7.2.DEPLOYMENT MARKET FORECASTS AND ANALYSIS
7.3.CLOUD
7.3.1.Overview
7.3.2.Cloud Market Forecast and Analysis
7.4.ON-PREMISES
7.4.1.Overview
7.4.2.On-premises Market Forecast and Analysis
8.AI IN ASSET MANAGEMENT MARKET - REVENUE AND FORECASTS TO 2028 - APPLICATION
8.1.OVERVIEW
8.2.APPLICATION MARKET FORECASTS AND ANALYSIS
8.3.PORTFOLIO OPTIMIZATION
8.3.1.Overview
8.3.2.Portfolio Optimization Market Forecast and Analysis
8.4.CONVERSATIONAL PLATFORM
8.4.1.Overview
8.4.2.Conversational Platform Market Forecast and Analysis
8.5.RISK AND COMPLIANCE
8.5.1.Overview
8.5.2.Risk and Compliance Market Forecast and Analysis
8.6.DATA ANALYSIS
8.6.1.Overview
8.6.2.Data Analysis Market Forecast and Analysis
8.7.PROCESS AUTOMATION
8.7.1.Overview
8.7.2.Process Automation Market Forecast and Analysis
8.8.OTHERS
8.8.1.Overview
8.8.2.Others Market Forecast and Analysis
9.AI IN ASSET MANAGEMENT MARKET - REVENUE AND FORECASTS TO 2028 - VERTICAL
9.1.OVERVIEW
9.2.VERTICAL MARKET FORECASTS AND ANALYSIS
9.3.BFSI
9.3.1.Overview
9.3.2.BFSI Market Forecast and Analysis
9.4.HEALTHCARE
9.4.1.Overview
9.4.2.Healthcare Market Forecast and Analysis
9.5.RETAIL AND E-COMMERCE
9.5.1.Overview
9.5.2.Retail and E-commerce Market Forecast and Analysis
9.6.MEDIA AND ENTERTAINMENT
9.6.1.Overview
9.6.2.Media and Entertainment Market Forecast and Analysis
9.7.AUTOMOTIVE
9.7.1.Overview
9.7.2.Automotive Market Forecast and Analysis
9.8.OTHERS
9.8.1.Overview
9.8.2.Others Market Forecast and Analysis
10.AI IN ASSET MANAGEMENT MARKET REVENUE AND FORECASTS TO 2028 - GEOGRAPHICAL ANALYSIS
10.1.NORTH AMERICA
10.1.1North America AI In Asset Management Market Overview
10.1.2North America AI In Asset Management Market Forecasts and Analysis
10.1.3North America AI In Asset Management Market Forecasts and Analysis - By Deployment
10.1.4North America AI In Asset Management Market Forecasts and Analysis - By Application
10.1.5North America AI In Asset Management Market Forecasts and Analysis - By Vertical
10.1.6North America AI In Asset Management Market Forecasts and Analysis - By Countries
10.1.6.1United States AI In Asset Management Market
10.1.6.1.1United States AI In Asset Management Market by Deployment
10.1.6.1.2United States AI In Asset Management Market by Application
10.1.6.1.3United States AI In Asset Management Market by Vertical
10.1.6.2Canada AI In Asset Management Market
10.1.6.2.1Canada AI In Asset Management Market by Deployment
10.1.6.2.2Canada AI In Asset Management Market by Application
10.1.6.2.3Canada AI In Asset Management Market by Vertical
10.1.6.3Mexico AI In Asset Management Market
10.1.6.3.1Mexico AI In Asset Management Market by Deployment
10.1.6.3.2Mexico AI In Asset Management Market by Application
10.1.6.3.3Mexico AI In Asset Management Market by Vertical
10.2.EUROPE
10.2.1Europe AI In Asset Management Market Overview
10.2.2Europe AI In Asset Management Market Forecasts and Analysis
10.2.3Europe AI In Asset Management Market Forecasts and Analysis - By Deployment
10.2.4Europe AI In Asset Management Market Forecasts and Analysis - By Application
10.2.5Europe AI In Asset Management Market Forecasts and Analysis - By Vertical
10.2.6Europe AI In Asset Management Market Forecasts and Analysis - By Countries
10.2.6.1Germany AI In Asset Management Market
10.2.6.1.1Germany AI In Asset Management Market by Deployment
10.2.6.1.2Germany AI In Asset Management Market by Application
10.2.6.1.3Germany AI In Asset Management Market by Vertical
10.2.6.2France AI In Asset Management Market
10.2.6.2.1France AI In Asset Management Market by Deployment
10.2.6.2.2France AI In Asset Management Market by Application
10.2.6.2.3France AI In Asset Management Market by Vertical
10.2.6.3Italy AI In Asset Management Market
10.2.6.3.1Italy AI In Asset Management Market by Deployment
10.2.6.3.2Italy AI In Asset Management Market by Application
10.2.6.3.3Italy AI In Asset Management Market by Vertical
10.2.6.4United Kingdom AI In Asset Management Market
10.2.6.4.1United Kingdom AI In Asset Management Market by Deployment
10.2.6.4.2United Kingdom AI In Asset Management Market by Application
10.2.6.4.3United Kingdom AI In Asset Management Market by Vertical
10.2.6.5Russia AI In Asset Management Market
10.2.6.5.1Russia AI In Asset Management Market by Deployment
10.2.6.5.2Russia AI In Asset Management Market by Application
10.2.6.5.3Russia AI In Asset Management Market by Vertical
10.2.6.6Rest of Europe AI In Asset Management Market
10.2.6.6.1Rest of Europe AI In Asset Management Market by Deployment
10.2.6.6.2Rest of Europe AI In Asset Management Market by Application
10.2.6.6.3Rest of Europe AI In Asset Management Market by Vertical
10.3.ASIA-PACIFIC
10.3.1Asia-Pacific AI In Asset Management Market Overview
10.3.2Asia-Pacific AI In Asset Management Market Forecasts and Analysis
10.3.3Asia-Pacific AI In Asset Management Market Forecasts and Analysis - By Deployment
10.3.4Asia-Pacific AI In Asset Management Market Forecasts and Analysis - By Application
10.3.5Asia-Pacific AI In Asset Management Market Forecasts and Analysis - By Vertical
10.3.6Asia-Pacific AI In Asset Management Market Forecasts and Analysis - By Countries
10.3.6.1Australia AI In Asset Management Market
10.3.6.1.1Australia AI In Asset Management Market by Deployment
10.3.6.1.2Australia AI In Asset Management Market by Application
10.3.6.1.3Australia AI In Asset Management Market by Vertical
10.3.6.2China AI In Asset Management Market
10.3.6.2.1China AI In Asset Management Market by Deployment
10.3.6.2.2China AI In Asset Management Market by Application
10.3.6.2.3China AI In Asset Management Market by Vertical
10.3.6.3India AI In Asset Management Market
10.3.6.3.1India AI In Asset Management Market by Deployment
10.3.6.3.2India AI In Asset Management Market by Application
10.3.6.3.3India AI In Asset Management Market by Vertical
10.3.6.4Japan AI In Asset Management Market
10.3.6.4.1Japan AI In Asset Management Market by Deployment
10.3.6.4.2Japan AI In Asset Management Market by Application
10.3.6.4.3Japan AI In Asset Management Market by Vertical
10.3.6.5South Korea AI In Asset Management Market
10.3.6.5.1South Korea AI In Asset Management Market by Deployment
10.3.6.5.2South Korea AI In Asset Management Market by Application
10.3.6.5.3South Korea AI In Asset Management Market by Vertical
10.3.6.6Rest of Asia-Pacific AI In Asset Management Market
10.3.6.6.1Rest of Asia-Pacific AI In Asset Management Market by Deployment
10.3.6.6.2Rest of Asia-Pacific AI In Asset Management Market by Application
10.3.6.6.3Rest of Asia-Pacific AI In Asset Management Market by Vertical
10.4.MIDDLE EAST AND AFRICA
10.4.1Middle East and Africa AI In Asset Management Market Overview
10.4.2Middle East and Africa AI In Asset Management Market Forecasts and Analysis
10.4.3Middle East and Africa AI In Asset Management Market Forecasts and Analysis - By Deployment
10.4.4Middle East and Africa AI In Asset Management Market Forecasts and Analysis - By Application
10.4.5Middle East and Africa AI In Asset Management Market Forecasts and Analysis - By Vertical
10.4.6Middle East and Africa AI In Asset Management Market Forecasts and Analysis - By Countries
10.4.6.1South Africa AI In Asset Management Market
10.4.6.1.1South Africa AI In Asset Management Market by Deployment
10.4.6.1.2South Africa AI In Asset Management Market by Application
10.4.6.1.3South Africa AI In Asset Management Market by Vertical
10.4.6.2Saudi Arabia AI In Asset Management Market
10.4.6.2.1Saudi Arabia AI In Asset Management Market by Deployment
10.4.6.2.2Saudi Arabia AI In Asset Management Market by Application
10.4.6.2.3Saudi Arabia AI In Asset Management Market by Vertical
10.4.6.3U.A.E AI In Asset Management Market
10.4.6.3.1U.A.E AI In Asset Management Market by Deployment
10.4.6.3.2U.A.E AI In Asset Management Market by Application
10.4.6.3.3U.A.E AI In Asset Management Market by Vertical
10.4.6.4Rest of Middle East and Africa AI In Asset Management Market
10.4.6.4.1Rest of Middle East and Africa AI In Asset Management Market by Deployment
10.4.6.4.2Rest of Middle East and Africa AI In Asset Management Market by Application
10.4.6.4.3Rest of Middle East and Africa AI In Asset Management Market by Vertical
10.5.SOUTH AND CENTRAL AMERICA
10.5.1South and Central America AI In Asset Management Market Overview
10.5.2South and Central America AI In Asset Management Market Forecasts and Analysis
10.5.3South and Central America AI In Asset Management Market Forecasts and Analysis - By Deployment
10.5.4South and Central America AI In Asset Management Market Forecasts and Analysis - By Application
10.5.5South and Central America AI In Asset Management Market Forecasts and Analysis - By Vertical
10.5.6South and Central America AI In Asset Management Market Forecasts and Analysis - By Countries
10.5.6.1Brazil AI In Asset Management Market
10.5.6.1.1Brazil AI In Asset Management Market by Deployment
10.5.6.1.2Brazil AI In Asset Management Market by Application
10.5.6.1.3Brazil AI In Asset Management Market by Vertical
10.5.6.2Argentina AI In Asset Management Market
10.5.6.2.1Argentina AI In Asset Management Market by Deployment
10.5.6.2.2Argentina AI In Asset Management Market by Application
10.5.6.2.3Argentina AI In Asset Management Market by Vertical
10.5.6.3Rest of South and Central America AI In Asset Management Market
10.5.6.3.1Rest of South and Central America AI In Asset Management Market by Deployment
10.5.6.3.2Rest of South and Central America AI In Asset Management Market by Application
10.5.6.3.3Rest of South and Central America AI In Asset Management Market by Vertical
11.INDUSTRY LANDSCAPE
11.1.MERGERS AND ACQUISITIONS
11.2.AGREEMENTS, COLLABORATIONS AND JOIN VENTURES
11.3.NEW PRODUCT LAUNCHES
11.4.EXPANSIONS AND OTHER STRATEGIC DEVELOPMENTS
12.AI IN ASSET MANAGEMENT MARKET, KEY COMPANY PROFILES
12.1.GENPACT
12.1.1.Key Facts
12.1.2.Business Description
12.1.3.Products and Services
12.1.4.Financial Overview
12.1.5.SWOT Analysis
12.1.6.Key Developments
12.2.INFOSYS LIMITED
12.2.1.Key Facts
12.2.2.Business Description
12.2.3.Products and Services
12.2.4.Financial Overview
12.2.5.SWOT Analysis
12.2.6.Key Developments
12.3.IBM CORPORATION
12.3.1.Key Facts
12.3.2.Business Description
12.3.3.Products and Services
12.3.4.Financial Overview
12.3.5.SWOT Analysis
12.3.6.Key Developments
12.4.SQUIRRO AG
12.4.1.Key Facts
12.4.2.Business Description
12.4.3.Products and Services
12.4.4.Financial Overview
12.4.5.SWOT Analysis
12.4.6.Key Developments
12.5.SYMPHONY SUMMITAI
12.5.1.Key Facts
12.5.2.Business Description
12.5.3.Products and Services
12.5.4.Financial Overview
12.5.5.SWOT Analysis
12.5.6.Key Developments
12.6.BRAINALYZED FINANCE GMBH
12.6.1.Key Facts
12.6.2.Business Description
12.6.3.Products and Services
12.6.4.Financial Overview
12.6.5.SWOT Analysis
12.6.6.Key Developments
12.7.LIQUIDNET HOLDINGS, INC.
12.7.1.Key Facts
12.7.2.Business Description
12.7.3.Products and Services
12.7.4.Financial Overview
12.7.5.SWOT Analysis
12.7.6.Key Developments
12.8.XAI ASSET MANAGEMENT LTD
12.8.1.Key Facts
12.8.2.Business Description
12.8.3.Products and Services
12.8.4.Financial Overview
12.8.5.SWOT Analysis
12.8.6.Key Developments
12.9.CASTLE RIDGE ASSET MANAGEMENT LIMITED.
12.9.1.Key Facts
12.9.2.Business Description
12.9.3.Products and Services
12.9.4.Financial Overview
12.9.5.SWOT Analysis
12.9.6.Key Developments
12.10.INTEL CORPORATION
12.10.1.Key Facts
12.10.2.Business Description
12.10.3.Products and Services
12.10.4.Financial Overview
12.10.5.SWOT Analysis
12.10.6.Key Developments
13.APPENDIX
13.1.ABOUT THE INSIGHT PARTNERS
13.2.GLOSSARY OF TERMS
1. Genpact
2. Infosys Limited
3. IBM Corporation
4. Squirro AG
5. Symphony SummitAI
6. Brainalyzed Finance GmbH
7. Liquidnet Holdings, Inc.
8. XAI Asset Management Ltd
9. Castle Ridge Asset Management Limited.
10. Intel Corporation
The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.
- Data Collection and Secondary Research:
As a market research and consulting firm operating from a decade, we have published many reports and advised several clients across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.
Several associations trade associates, technical forums, institutes, societies and organizations are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in the last 3 years are scrutinized and analyzed to understand the current market trends.
- Primary Research:
The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.
For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/Sales Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.
A typical research interview fulfils the following functions:
- Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
- Validates and strengthens in-house secondary research findings
- Develops the analysis team’s expertise and market understanding
Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:
- Industry participants: VPs, business development managers, market intelligence managers and national sales managers
- Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.
Below is the breakup of our primary respondents by company, designation, and region:
Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.
- Data Analysis:
Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.
- 3.1 Macro-Economic Factor Analysis:
We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.
- 3.2 Country Level Data:
Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.
- 3.3 Company Profile:
The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.
- 3.4 Developing Base Number:
Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.
- Data Triangulation and Final Review:
The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.
We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.
We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.
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