Intelligent Process Automation (IPA) is a set of innovative technology which refers to the usage of Artificial Intelligence and related technologies. Intelligent Process Automation is designed to assist human by mitigating the repetitive, routine and manual tasks. In the percent scenario due to the adoption of automated technology in various industries it is estimated that the Intelligent Process Automation Market will flourish in recent times.
MARKET DYNAMICS
The Intelligent Process Automation market (IPA) is growing at a faster rate owing to the increased adoption of various automated technologies across industries in developed as well as developing countries. Intelligent Process Automation is changing the way a business is done in nearly every sector of the economy. Furthermore, the mixture of artificial intelligence and automation is changing the business outlook and it is also projected to greatly influence the market. The implementing cost of Intelligent Automation is currently high as it is expected a lower down in coming years.
MARKET SCOPE
The "Global Intelligent Process Automation market (IPA) Analysis to 2028" is a specialized and in-depth study of the Intelligent Process Automation market (IPA) industry with a special focus on the global market trend analysis. The report aims to provide an overview of Intelligent Process Automation market (IPA) with detailed market segmentation by technology, type and geography. The global Intelligent Process Automation market (IPA) is expected to witness high growth during the forecast period. The report provides key statistics on the market status of the leading Intelligent Process Automation market (IPA) players and offers key trends and opportunities in the market.
MARKET SEGMENTATION
The global Intelligent Process Automation market (IPA) is segmented on the basis of Component, Technology, Application and Vertical. Based on Component, the market is segmented as Solutions and Services. On the basis of Technology, the type the market is segmented into Natural Learning Process, Machine Learning Process, Neural Networks, Virtual Agents, Mini bots, Computer Vision and Others. On the basis of Application, the market is segmented into IT Operation, Business Process Automation, Application Management, Content Management, Security and others. On the basis of the market is segmented into Vertical the market is segmented into BFSI, Telecommunications and IT, Transport and Logistics, Media and Entertainment, Retail and Ecommerce, Manufacturing, Healthcare and Life Sciences, and 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 Intelligent Process Automation market (IPA) based on various segments. It also provides market size and forecast estimates from year 2020 to 2028 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South & Central America. The Intelligent Process Automation market (IPA) 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 Intelligent Process Automation market (IPA) 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 & Central America after evaluating political, economic, social and technological factors effecting the Intelligent Process Automation market (IPA) 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 Intelligent Process Automation market (IPA) based on various segments. It also provides market size and forecast estimates from year 2020 to 2028 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South & Central America. The Intelligent Process Automation market (IPA) 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 Intelligent Process Automation market (IPA) 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 & Central America after evaluating political, economic, social and technological factors effecting the Intelligent Process Automation market (IPA) in these regions.
MARKET PLAYERS
The reports cover key developments in the Intelligent Process Automation market (IPA) 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 payers from Intelligent Process Automation market (IPA) are anticipated to lucrative growth opportunities in the future with the rising demand for Intelligent Process Automation (IPA) in the global market. Below mentioned is the list of few companies engaged in the Intelligent Process Automation market (IPA).
The report also includes the profiles of key Intelligent Process Automation (IPA) 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.
- Accenture
- Blue Prism
- Capgemini
- Cognizant
- CGI Inc.
- Genpact
- HCL Technologies Limited
- IBM
- KPMG
- TATA CONSULTANCY SERVICE
- 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
1.3.1Intelligent Process Automation - By Component
1.3.2Intelligent Process Automation - By Technology
1.3.3Intelligent Process Automation - By Application
1.3.4Intelligent Process Automation - By Vertical
1.3.5Intelligent Process Automation - By Region
1.3.5.1By Country
2.KEY TAKEWAYS
3.RESEARCH METHODOLOGY
4.INTELLIGENT PROCESS AUTOMATION LANDSCAPE
4.1.OVERVIEW
4.2.PEST ANALYSIS
4.2.1North America - Pest Analysis
4.2.2Europe - Pest Analysis
4.2.3Asia-Pacific - Pest Analysis
4.2.4Middle East and Africa - Pest Analysis
4.2.5South and Central America - Pest Analysis
4.3.ECOSYSTEM ANALYSIS
4.4.EXPERT OPINIONS
5.INTELLIGENT PROCESS AUTOMATION - 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, RESTRAINTS & EXPECTED INFLUENCE OF COVID-19 PANDEMIC
6.INTELLIGENT PROCESS AUTOMATION - GLOBAL MARKET ANALYSIS
6.1.INTELLIGENT PROCESS AUTOMATION - GLOBAL MARKET OVERVIEW
6.2.INTELLIGENT PROCESS AUTOMATION - GLOBAL MARKET AND FORECAST TO 2028
6.3.MARKET POSITIONING/MARKET SHARE
7.INTELLIGENT PROCESS AUTOMATION - REVENUE AND FORECASTS TO 2028 - COMPONENT
7.1.OVERVIEW
7.2.COMPONENT MARKET FORECASTS AND ANALYSIS
7.3.SOLUTION
7.3.1.Overview
7.3.2.Solution Market Forecast and Analysis
7.4.SERVICES
7.4.1.Overview
7.4.2.Services Market Forecast and Analysis
8.INTELLIGENT PROCESS AUTOMATION - REVENUE AND FORECASTS TO 2028 - TECHNOLOGY
8.1.OVERVIEW
8.2.TECHNOLOGY MARKET FORECASTS AND ANALYSIS
8.3.NATURAL LANGUAGE PROCESSING
8.3.1.Overview
8.3.2.Natural Language Processing Market Forecast and Analysis
8.4.MACHINE AND DEEP LEARNING
8.4.1.Overview
8.4.2.Machine and Deep Learning Market Forecast and Analysis
8.5.NEURAL NETWORKS
8.5.1.Overview
8.5.2.Neural Networks Market Forecast and Analysis
8.6.VIRTUAL AGENTS
8.6.1.Overview
8.6.2.Virtual Agents Market Forecast and Analysis
8.7.MINI BOTS
8.7.1.Overview
8.7.2.Mini Bots Market Forecast and Analysis
8.8.COMPUTER VISION
8.8.1.Overview
8.8.2.Computer Vision Market Forecast and Analysis
8.9.
8.9.1.Overview
8.9.2. Market Forecast and Analysis
9.INTELLIGENT PROCESS AUTOMATION - REVENUE AND FORECASTS TO 2028 - APPLICATION
9.1.OVERVIEW
9.2.APPLICATION MARKET FORECASTS AND ANALYSIS
9.3.IT OPERATIONS
9.3.1.Overview
9.3.2.IT Operations Market Forecast and Analysis
9.4.BUSINESS PROCESS AUTOMATION
9.4.1.Overview
9.4.2.Business Process Automation Market Forecast and Analysis
9.5.APPLICATION MANAGEMENT
9.5.1.Overview
9.5.2.Application Management Market Forecast and Analysis
9.6.CONTENT MANAGEMENT
9.6.1.Overview
9.6.2.Content Management Market Forecast and Analysis
9.7.SECURITY
9.7.1.Overview
9.7.2.Security Market Forecast and Analysis
10.INTELLIGENT PROCESS AUTOMATION - REVENUE AND FORECASTS TO 2028 - VERTICAL
10.1.OVERVIEW
10.2.VERTICAL MARKET FORECASTS AND ANALYSIS
10.3.BFSI
10.3.1.Overview
10.3.2.BFSI Market Forecast and Analysis
10.4.TELECOMMUNICATIONS AND IT
10.4.1.Overview
10.4.2.Telecommunications and IT Market Forecast and Analysis
10.5.TRANSPORT AND LOGISTICS
10.5.1.Overview
10.5.2.Transport and Logistics Market Forecast and Analysis
10.6.MEDIA AND ENTERTAINMENT
10.6.1.Overview
10.6.2.Media and Entertainment Market Forecast and Analysis
10.7.RETAIL AND ECOMMERCE
10.7.1.Overview
10.7.2.Retail and Ecommerce Market Forecast and Analysis
10.8.MANUFACTURING
10.8.1.Overview
10.8.2.Manufacturing Market Forecast and Analysis
10.9.HEALTHCARE AND LIFE SCIENCES
10.9.1.Overview
10.9.2.Healthcare and Life Sciences Market Forecast and Analysis
11.INTELLIGENT PROCESS AUTOMATION REVENUE AND FORECASTS TO 2028 - GEOGRAPHICAL ANALYSIS
11.1.NORTH AMERICA
11.1.1North America Intelligent Process Automation Overview
11.1.2North America Intelligent Process Automation Forecasts and Analysis
11.1.3North America Intelligent Process Automation Forecasts and Analysis - By Component
11.1.4North America Intelligent Process Automation Forecasts and Analysis - By Technology
11.1.5North America Intelligent Process Automation Forecasts and Analysis - By Application
11.1.6North America Intelligent Process Automation Forecasts and Analysis - By Vertical
11.1.7North America Intelligent Process Automation Forecasts and Analysis - By Countries
11.1.7.1United States Intelligent Process Automation
11.1.7.1.1United States Intelligent Process Automation by Component
11.1.7.1.2United States Intelligent Process Automation by Technology
11.1.7.1.3United States Intelligent Process Automation by Application
11.1.7.1.4United States Intelligent Process Automation by Vertical
11.1.7.2Canada Intelligent Process Automation
11.1.7.2.1Canada Intelligent Process Automation by Component
11.1.7.2.2Canada Intelligent Process Automation by Technology
11.1.7.2.3Canada Intelligent Process Automation by Application
11.1.7.2.4Canada Intelligent Process Automation by Vertical
11.1.7.3Mexico Intelligent Process Automation
11.1.7.3.1Mexico Intelligent Process Automation by Component
11.1.7.3.2Mexico Intelligent Process Automation by Technology
11.1.7.3.3Mexico Intelligent Process Automation by Application
11.1.7.3.4Mexico Intelligent Process Automation by Vertical
11.2.EUROPE
11.2.1Europe Intelligent Process Automation Overview
11.2.2Europe Intelligent Process Automation Forecasts and Analysis
11.2.3Europe Intelligent Process Automation Forecasts and Analysis - By Component
11.2.4Europe Intelligent Process Automation Forecasts and Analysis - By Technology
11.2.5Europe Intelligent Process Automation Forecasts and Analysis - By Application
11.2.6Europe Intelligent Process Automation Forecasts and Analysis - By Vertical
11.2.7Europe Intelligent Process Automation Forecasts and Analysis - By Countries
11.2.7.1Germany Intelligent Process Automation
11.2.7.1.1Germany Intelligent Process Automation by Component
11.2.7.1.2Germany Intelligent Process Automation by Technology
11.2.7.1.3Germany Intelligent Process Automation by Application
11.2.7.1.4Germany Intelligent Process Automation by Vertical
11.2.7.2France Intelligent Process Automation
11.2.7.2.1France Intelligent Process Automation by Component
11.2.7.2.2France Intelligent Process Automation by Technology
11.2.7.2.3France Intelligent Process Automation by Application
11.2.7.2.4France Intelligent Process Automation by Vertical
11.2.7.3Italy Intelligent Process Automation
11.2.7.3.1Italy Intelligent Process Automation by Component
11.2.7.3.2Italy Intelligent Process Automation by Technology
11.2.7.3.3Italy Intelligent Process Automation by Application
11.2.7.3.4Italy Intelligent Process Automation by Vertical
11.2.7.4United Kingdom Intelligent Process Automation
11.2.7.4.1United Kingdom Intelligent Process Automation by Component
11.2.7.4.2United Kingdom Intelligent Process Automation by Technology
11.2.7.4.3United Kingdom Intelligent Process Automation by Application
11.2.7.4.4United Kingdom Intelligent Process Automation by Vertical
11.2.7.5Russia Intelligent Process Automation
11.2.7.5.1Russia Intelligent Process Automation by Component
11.2.7.5.2Russia Intelligent Process Automation by Technology
11.2.7.5.3Russia Intelligent Process Automation by Application
11.2.7.5.4Russia Intelligent Process Automation by Vertical
11.2.7.6Rest of Europe Intelligent Process Automation
11.2.7.6.1Rest of Europe Intelligent Process Automation by Component
11.2.7.6.2Rest of Europe Intelligent Process Automation by Technology
11.2.7.6.3Rest of Europe Intelligent Process Automation by Application
11.2.7.6.4Rest of Europe Intelligent Process Automation by Vertical
11.3.ASIA-PACIFIC
11.3.1Asia-Pacific Intelligent Process Automation Overview
11.3.2Asia-Pacific Intelligent Process Automation Forecasts and Analysis
11.3.3Asia-Pacific Intelligent Process Automation Forecasts and Analysis - By Component
11.3.4Asia-Pacific Intelligent Process Automation Forecasts and Analysis - By Technology
11.3.5Asia-Pacific Intelligent Process Automation Forecasts and Analysis - By Application
11.3.6Asia-Pacific Intelligent Process Automation Forecasts and Analysis - By Vertical
11.3.7Asia-Pacific Intelligent Process Automation Forecasts and Analysis - By Countries
11.3.7.1Australia Intelligent Process Automation
11.3.7.1.1Australia Intelligent Process Automation by Component
11.3.7.1.2Australia Intelligent Process Automation by Technology
11.3.7.1.3Australia Intelligent Process Automation by Application
11.3.7.1.4Australia Intelligent Process Automation by Vertical
11.3.7.2China Intelligent Process Automation
11.3.7.2.1China Intelligent Process Automation by Component
11.3.7.2.2China Intelligent Process Automation by Technology
11.3.7.2.3China Intelligent Process Automation by Application
11.3.7.2.4China Intelligent Process Automation by Vertical
11.3.7.3India Intelligent Process Automation
11.3.7.3.1India Intelligent Process Automation by Component
11.3.7.3.2India Intelligent Process Automation by Technology
11.3.7.3.3India Intelligent Process Automation by Application
11.3.7.3.4India Intelligent Process Automation by Vertical
11.3.7.4Japan Intelligent Process Automation
11.3.7.4.1Japan Intelligent Process Automation by Component
11.3.7.4.2Japan Intelligent Process Automation by Technology
11.3.7.4.3Japan Intelligent Process Automation by Application
11.3.7.4.4Japan Intelligent Process Automation by Vertical
11.3.7.5South Korea Intelligent Process Automation
11.3.7.5.1South Korea Intelligent Process Automation by Component
11.3.7.5.2South Korea Intelligent Process Automation by Technology
11.3.7.5.3South Korea Intelligent Process Automation by Application
11.3.7.5.4South Korea Intelligent Process Automation by Vertical
11.3.7.6Rest of Asia-Pacific Intelligent Process Automation
11.3.7.6.1Rest of Asia-Pacific Intelligent Process Automation by Component
11.3.7.6.2Rest of Asia-Pacific Intelligent Process Automation by Technology
11.3.7.6.3Rest of Asia-Pacific Intelligent Process Automation by Application
11.3.7.6.4Rest of Asia-Pacific Intelligent Process Automation by Vertical
11.4.MIDDLE EAST AND AFRICA
11.4.1Middle East and Africa Intelligent Process Automation Overview
11.4.2Middle East and Africa Intelligent Process Automation Forecasts and Analysis
11.4.3Middle East and Africa Intelligent Process Automation Forecasts and Analysis - By Component
11.4.4Middle East and Africa Intelligent Process Automation Forecasts and Analysis - By Technology
11.4.5Middle East and Africa Intelligent Process Automation Forecasts and Analysis - By Application
11.4.6Middle East and Africa Intelligent Process Automation Forecasts and Analysis - By Vertical
11.4.7Middle East and Africa Intelligent Process Automation Forecasts and Analysis - By Countries
11.4.7.1South Africa Intelligent Process Automation
11.4.7.1.1South Africa Intelligent Process Automation by Component
11.4.7.1.2South Africa Intelligent Process Automation by Technology
11.4.7.1.3South Africa Intelligent Process Automation by Application
11.4.7.1.4South Africa Intelligent Process Automation by Vertical
11.4.7.2Saudi Arabia Intelligent Process Automation
11.4.7.2.1Saudi Arabia Intelligent Process Automation by Component
11.4.7.2.2Saudi Arabia Intelligent Process Automation by Technology
11.4.7.2.3Saudi Arabia Intelligent Process Automation by Application
11.4.7.2.4Saudi Arabia Intelligent Process Automation by Vertical
11.4.7.3U.A.E Intelligent Process Automation
11.4.7.3.1U.A.E Intelligent Process Automation by Component
11.4.7.3.2U.A.E Intelligent Process Automation by Technology
11.4.7.3.3U.A.E Intelligent Process Automation by Application
11.4.7.3.4U.A.E Intelligent Process Automation by Vertical
11.4.7.4Rest of Middle East and Africa Intelligent Process Automation
11.4.7.4.1Rest of Middle East and Africa Intelligent Process Automation by Component
11.4.7.4.2Rest of Middle East and Africa Intelligent Process Automation by Technology
11.4.7.4.3Rest of Middle East and Africa Intelligent Process Automation by Application
11.4.7.4.4Rest of Middle East and Africa Intelligent Process Automation by Vertical
11.5.SOUTH AND CENTRAL AMERICA
11.5.1South and Central America Intelligent Process Automation Overview
11.5.2South and Central America Intelligent Process Automation Forecasts and Analysis
11.5.3South and Central America Intelligent Process Automation Forecasts and Analysis - By Component
11.5.4South and Central America Intelligent Process Automation Forecasts and Analysis - By Technology
11.5.5South and Central America Intelligent Process Automation Forecasts and Analysis - By Application
11.5.6South and Central America Intelligent Process Automation Forecasts and Analysis - By Vertical
11.5.7South and Central America Intelligent Process Automation Forecasts and Analysis - By Countries
11.5.7.1Brazil Intelligent Process Automation
11.5.7.1.1Brazil Intelligent Process Automation by Component
11.5.7.1.2Brazil Intelligent Process Automation by Technology
11.5.7.1.3Brazil Intelligent Process Automation by Application
11.5.7.1.4Brazil Intelligent Process Automation by Vertical
11.5.7.2Argentina Intelligent Process Automation
11.5.7.2.1Argentina Intelligent Process Automation by Component
11.5.7.2.2Argentina Intelligent Process Automation by Technology
11.5.7.2.3Argentina Intelligent Process Automation by Application
11.5.7.2.4Argentina Intelligent Process Automation by Vertical
11.5.7.3Rest of South and Central America Intelligent Process Automation
11.5.7.3.1Rest of South and Central America Intelligent Process Automation by Component
11.5.7.3.2Rest of South and Central America Intelligent Process Automation by Technology
11.5.7.3.3Rest of South and Central America Intelligent Process Automation by Application
11.5.7.3.4Rest of South and Central America Intelligent Process Automation by Vertical
12.INDUSTRY LANDSCAPE
12.1.MERGERS AND ACQUISITIONS
12.2.AGREEMENTS, COLLABORATIONS AND JOIN VENTURES
12.3.NEW PRODUCT LAUNCHES
12.4.EXPANSIONS AND OTHER STRATEGIC DEVELOPMENTS
13.INTELLIGENT PROCESS AUTOMATION, KEY COMPANY PROFILES
13.1.ACCENTURE
13.1.1.Key Facts
13.1.2.Business Description
13.1.3.Products and Services
13.1.4.Financial Overview
13.1.5.SWOT Analysis
13.1.6.Key Developments
13.2.BLUE PRISM
13.2.1.Key Facts
13.2.2.Business Description
13.2.3.Products and Services
13.2.4.Financial Overview
13.2.5.SWOT Analysis
13.2.6.Key Developments
13.3.CAPGEMINI
13.3.1.Key Facts
13.3.2.Business Description
13.3.3.Products and Services
13.3.4.Financial Overview
13.3.5.SWOT Analysis
13.3.6.Key Developments
13.4.COGNIZANT
13.4.1.Key Facts
13.4.2.Business Description
13.4.3.Products and Services
13.4.4.Financial Overview
13.4.5.SWOT Analysis
13.4.6.Key Developments
13.5.CGI INC.
13.5.1.Key Facts
13.5.2.Business Description
13.5.3.Products and Services
13.5.4.Financial Overview
13.5.5.SWOT Analysis
13.5.6.Key Developments
13.6.GENPACT
13.6.1.Key Facts
13.6.2.Business Description
13.6.3.Products and Services
13.6.4.Financial Overview
13.6.5.SWOT Analysis
13.6.6.Key Developments
13.7.HCL TECHNOLOGIES LIMITED
13.7.1.Key Facts
13.7.2.Business Description
13.7.3.Products and Services
13.7.4.Financial Overview
13.7.5.SWOT Analysis
13.7.6.Key Developments
13.8.IBM
13.8.1.Key Facts
13.8.2.Business Description
13.8.3.Products and Services
13.8.4.Financial Overview
13.8.5.SWOT Analysis
13.8.6.Key Developments
13.9.KPMG
13.9.1.Key Facts
13.9.2.Business Description
13.9.3.Products and Services
13.9.4.Financial Overview
13.9.5.SWOT Analysis
13.9.6.Key Developments
13.10.TATA CONSULTANCY SERVICE
13.10.1.Key Facts
13.10.2.Business Description
13.10.3.Products and Services
13.10.4.Financial Overview
13.10.5.SWOT Analysis
13.10.6.Key Developments
14.APPENDIX
14.1.ABOUT THE INSIGHT PARTNERS
14.2.GLOSSARY OF TERMS
1. Accenture
2. Blue Prism
3. Capgemini
4. Cognizant
5. CGI Inc.
6. Genpact
7. HCL Technologies Limited
8. IBM
9. KPMG
10. TATA CONSULTANCY SERVICE
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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