The artificial intelligence in the fashion market in Asia Pacific is expected to grow from US$ 55.1 Mn in 2018 to US$ 1015.8 Mn by the year 2027, with a CAGR of 39.0% from the year 2019 to 2027.
Driving factors such as the accessibility of massive amounts of data from different data sources and real-time consumer behavior insights and increased operational efficiency are driving the adoption of artificial intelligence in fashion market. Further, the advent of natural language programming (NLP) to the fashion industry is expected to facilitate significant growth opportunities for artificial intelligence in fashion market. NLP offers high-efficiency human experience and makes highly interactive chatbots. Vendors have a huge opportunity to improve their services by implementing NLP to its solutions. In the fashion industry, and NLP has capabilities to offer great help to fashion and apparel websites by filtering the majority of customer’s issues and send it to different customers to clarify the issues. Business is taking efforts for better understanding and implementation of NLP. NLP’s are capable of handling the number of systems that work together to handle end-to-end interactions between machines and humans.
This technology enables users to interact more naturally. Business is making huge investments in developing NLP enabled solutions for the fashion industry. For instance, Zalando SE, Germany based Fashion Company, implemented the NLP model to its website based on PyTorch and Python.
On the basis of offerings, artificial intelligence in fashion market is segmented into solutions and services. Cognitive computing and artificial intelligence are increasing agility for retailers. Significant investments are being made by some of the leading IT companies as well as fashion retailers. In 2018, the retail industry invested approximately US$3.4 billion, more than any other sector, in artificial intelligence for capabilities such as expert shopping advisors, automated customer-service agents, and omnichannel merchandising. Thus, substantial investments and ongoing contracts among leading IT companies and fashion brands to develop advance software are propelling the growth of artificial intelligence in fashion market at a rapid pace. The solution segment led the artificial intelligence in fashion market in 2018 and is anticipated to dominate the market in the forecast period.
China dominated the artificial intelligence in fashion market in 2018 and is expected to dominate the market with the highest share in the Asia Pacific region through the forecast period. China is the biggest supplier of apparel to European countries. Some of the apparel companies are shifting their manufacturing units to Bangladesh and Vietnam due to lower labor costs. Pertaining to this factor, the country’s textile and apparel producers are struggling through an industrial restructuring. On the other hand, China still holds the position of largest clothing exporter worldwide with enormous production capacities. Also, the Chinese market is about to overtake the US fashion industry market in the forthcoming period because of the demand from the luxury segment. Therefore, the country has an opportunity to take benefit of artificial intelligence in fashion industry as the Chinese market is unique and is also crucial for the luxury fashion business. The figure given below highlights the revenue share of the rest of Asia Pacific in the artificial intelligence in fashion market in the forecast period:
Rest of Asia Pacific Artificial Intelligence in Fashion Market Revenue and Forecast to 2027
(US$ Mn)
(US$ Mn)
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ASIA PACIFIC ARTIFICIAL INTELLIGENCE IN FASHION MARKET SEGMENTATION
By Offerings
- Solutions
- Services
By Deployment
- On-Premise
- Cloud-Based
By Application
- Product Recommendation
- Virtual Assistant
- Product Search and Discovery
- Creative Designing and Trend Forecasting
- Customer Relationship Management
- Others
By End-User Industry
- Apparel
- Accessories
- Cosmetics
- Others
By Country
- China
- India
- Japan
- Australia
- South Korea
- Rest of APAC
Artificial Intelligence in Fashion Market - Companies Mentioned
- Adobe Inc.
- Amazon.com, Inc.
- Catchoom
- Facebook, Inc.
- Google, Inc. (Alphabet Inc.)
- Huawei Technologies Co., Ltd
- IBM Corporation
- Microsoft Corporation
- Oracle Corporation
- SAP SE
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
Offerings, Deployment, Application, End-User Industry
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
Australia, China, Japan, South Korea
1. Introduction
1.1 Scope of the Study
1.2 The Insight Partners Research Report Guidance
1.3 Market Segmentation
1.3.1 Asia Pacific Artificial Intelligence in Fashion Market – By Offerings
1.3.2 Asia Pacific Artificial Intelligence in Fashion Market – By Deployment
1.3.3 Asia Pacific Artificial Intelligence in Fashion Market – By Application
1.3.4 Asia Pacific Artificial Intelligence in Fashion Market – By End-User Industry
1.3.5 Asia Pacific Artificial Intelligence in Fashion Market – By Country
2. Key Takeaways
3. Research Methodology
3.1 Coverage
3.2 Secondary Research
3.3 Primary Research
4. Artificial Intelligence in Fashion Market Landscape
4.1 Market Overview
4.2 PEST Analysis – Asia Pacific
4.3 Ecosystem Analysis
4.4 Expert Opinions
5. Artificial Intelligence in Fashion Market – Key Market Dynamics
5.1 Key Market Drivers
5.1.1 Accessibility of massive amount of data from different data sources
5.1.2 Real time consumer behaviour insights and increased operational efficiency are driving the adoption of AI in fashion industry
5.2 Key Market Restraints
5.2.1 Concerns associated with data privacy and security
5.3 Key Market Opportunities
5.3.1 Advent of Natural Language Programming (NLP) to fashion industry
5.4 Future Trend
5.4.1 Prediction of Fashion Trends With AI
5.5 Impact Analysis of Drivers and Restraints
6. Artificial Intelligence in Fashion Market – Asia Pacific Market Analysis
6.1 Overview
6.2 Asia Pacific Artificial Intelligence in Fashion Market Forecast and Analysis
6.3 Market Positioning – Five Key Players
7. Asia Pacific Artificial Intelligence in Fashion Market – By Offerings
7.1 Overview
7.2 Asia Pacific Artificial Intelligence in Fashion Market Breakdown, by Offerings, 2018 & 2027
7.3 Solutions
7.3.1 Overview
7.3.2 Asia Pacific Solutions Market Revenue and Forecasts to 2027 (US$ Mn)
7.4 Services
7.4.1 Overview
7.4.2 Asia Pacific Services Market Revenue and Forecasts to 2027 (US$ Mn)
8. Asia Pacific Artificial Intelligence in Fashion Market – By Deployment
8.1 Overview
8.2 Asia Pacific Artificial Intelligence in Fashion Market Breakdown, by Deployment, 2018 & 2027
8.3 On-premise
8.3.1 Overview
8.3.2 Asia Pacific On-premise Market Revenue and Forecasts to 2027 (US$ Mn)
8.4 Cloud
8.4.1 Overview
8.4.2 Asia Pacific Cloud Market Revenue and Forecasts to 2027 (US$ Mn)
9. Asia Pacific Artificial intelligence in fashion Market – By Application
9.1 Overview
9.2 Asia Pacific Artificial intelligence in fashion Market Breakdown, By Application, 2018 & 2027
9.3 Product Recommendation
9.3.1 Overview
9.3.2 Asia Pacific Product Recommendation Market Revenue and Forecasts to 2027 (US$ Mn)
9.4 Virtual Assistant
9.4.1 Overview
9.4.2 Asia Pacific Virtual Assistant Market Revenue and Forecasts to 2027 (US$ Mn)
9.5 Product Search and Discovery
9.5.1 Overview
9.5.2 Asia Pacific Product Search and Discovery Market Revenue and Forecasts to 2027 (US$ Mn)
9.6 Creative Designing and Trend Forecasting
9.6.1 Overview
9.6.2 Asia Pacific Creative Designing and Trend Forecasting Market Revenue and Forecasts to 2027 (US$ Mn)
9.7 Customer Relationship Management (CRM)
9.7.1 Overview
9.7.2 Asia Pacific Customer Relationship Management Market Revenue and Forecasts to 2027 (US$ Mn)
9.8 Others
9.8.1 Overview
9.8.2 Asia Pacific Others Market Revenue and Forecasts to 2027 (US$ Mn)
10. Asia Pacific Artificial intelligence in fashion Market Analysis – By End User Industry
10.1 Overview
10.2 Asia Pacific Artificial intelligence in fashion Market Breakdown, By End User Industry, 2018 & 2027
10.3 Apparel
10.3.1 Overview
10.3.2 Asia Pacific Apparel Market Revenue and Forecasts to 2027 (US$ Mn)
10.4 Accessories
10.4.1 Overview
10.4.2 Asia Pacific Accessories Market Revenue and Forecasts to 2027 (US$ Mn)
10.5 Cosmetics
10.5.1 Overview
10.5.2 Asia Pacific Cosmetics Market Revenue and Forecasts to 2027 (US$ Mn)
10.6 Others
10.6.1 Overview
10.6.2 Asia Pacific Others Market Revenue and Forecasts to 2027 (US$ Mn)
11. Asia Pacific Artificial Intelligence in Fashion Market – Country Analysis
11.1 Overview
11.1.1 APAC Artificial Intelligence in Fashion Market Breakdown, By Key Country
11.1.1.1 Australia Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 (US$ Mn)
11.1.1.1.1 Australia Artificial Intelligence in Fashion Market Breakdown, By Offering
11.1.1.1.2 Australia Artificial Intelligence in Fashion Market Breakdown, By Deployment
11.1.1.1.3 Australia Artificial Intelligence in Fashion Market Breakdown, By Application
11.1.1.1.4 Australia Artificial Intelligence In Fashion Market Breakdown, By End-User Industry
11.1.1.2 China Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 (US$ Mn)
11.1.1.2.1 China Artificial Intelligence in Fashion Market Breakdown, By Offering
11.1.1.2.2 China Artificial Intelligence in Fashion Market Breakdown, By Deployment
11.1.1.2.3 China AI in Fashion Market Breakdown, By Application
11.1.1.2.4 China Artificial Intelligence In Fashion Market Breakdown, By End-User Industry
11.1.1.3 India Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 (US$ Mn)
11.1.1.3.1 India Artificial Intelligence in Fashion Market Breakdown, By Offering
11.1.1.3.2 India Artificial Intelligence in Fashion Market Breakdown, By Deployment
11.1.1.3.3 India Artificial Intelligence in Fashion Market Breakdown, By Application
11.1.1.3.4 India Artificial Intelligence In Fashion Market Breakdown, By End-User Industry
11.1.1.4 Japan Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 (US$ Mn)
11.1.1.4.1 Japan Artificial Intelligence in Fashion Market Breakdown, By Offering
11.1.1.4.2 Japan Artificial Intelligence in Fashion Market Breakdown, By Deployment
11.1.1.4.3 Japan Artificial Intelligence in Fashion Market Breakdown, By Application
11.1.1.4.4 Japan Artificial Intelligence In Fashion Market Breakdown, By End-User Industry
11.1.1.5 South Korea Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 (US$ Mn)
11.1.1.5.1 South Korea Artificial Intelligence in Fashion Market Breakdown, By Offering
11.1.1.5.2 South Korea Artificial Intelligence in Fashion Market Breakdown, By Deployment
11.1.1.5.3 South Korea Artificial Intelligence in Fashion Market Breakdown, By Application
11.1.1.5.4 South Korea Artificial Intelligence In Fashion Market Breakdown, By End-User Industry
11.1.1.6 Rest of APAC Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 (US$ Mn)
11.1.1.6.1 Rest of APAC Artificial Intelligence in Fashion Market Breakdown, By Offering
11.1.1.6.2 Rest of APAC Artificial Intelligence in Fashion Market Breakdown, By Deployment
11.1.1.6.3 Rest of APAC Artificial Intelligence in Fashion Market Breakdown, By Application
11.1.1.6.4 Rest of APAC Artificial Intelligence Market Breakdown, By End-User Industry
12. Artificial Intelligence in Fashion Market - Industry Landscape
12.1 Overview
12.2 Market Initiative
12.3 New Development
13. Company Profiles
13.1 Adobe Inc.
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 Alphabet Inc. (Google)
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 Amazon.com, Inc.
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 Catchoom
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 Facebook 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 Huawei Technologies Co., Ltd.
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 IBM Corporation
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 Microsoft Corporation
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 Oracle Corporation
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 SAP SE
13.10.1 Key Facts
13.10.2 Business Description
13.10.3 Business Description
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
LIST OF TABLES
Table 1. Asia Pacific Artificial Intelligence in Fashion Market Revenue and Forecasts To 2027 (US$ Bn)
Table 2. APAC Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 – By Offering (US$ Mn)
Table 3. APAC Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 – By Deployment (US$ Mn)
Table 4. APAC Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 – By Application (US$ Mn)
Table 5. APAC Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 – By End-User Industry (US$ Mn)
Table 6. Australia Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 – By Offering (US$ Mn)
Table 7. Australia Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 – By Deployment (US$ Mn)
Table 8. Australia Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 – By Application (US$ Mn)
Table 9. Australia Artificial Intelligence In Fashion Market Revenue and Forecast to 2027 – By End-User Industry (US$ Mn)
Table 10. China Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 – By Offering (US$ Mn)
Table 11. China Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 – By Deployment (US$ Mn)
Table 12. China Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 – By Application (US$ Mn)
Table 13. China Artificial Intelligence In Fashion Market Revenue and Forecast to 2027 – By End-User Industry (US$ Mn)
Table 14. India Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 – By Offering (US$ Mn)
Table 15. India Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 – By Deployment (US$ Mn)
Table 16. India Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 – By Application (US$ Mn)
Table 17. India Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 – By End-User Industry (US$ Mn)
Table 18. Japan Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 – By Offering (US$ Mn)
Table 19. Japan Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 – By Deployment (US$ Mn)
Table 20. Japan Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 – By Application (US$ Mn)
Table 21. Japan Artificial Intelligence In Fashion Market Revenue and Forecast to 2027 – By End-User Industry (US$ Mn)
Table 22. South Korea Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 – By Offering (US$ Mn)
Table 23. South Korea Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 – By Deployment (US$ Mn)
Table 24. South Korea Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 – By Application (US$ Mn)
Table 25. South Korea Artificial Intelligence In Fashion Market Revenue and Forecast to 2027 – By End-User Industry (US$ Mn)
Table 26. Rest of APAC Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 – By Offering (US$ Mn)
Table 27. Rest of APAC Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 – By Deployment (US$ Mn)
Table 28. Rest of APAC Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 – By Application (US$ Mn)
Table 29. Rest of APAC Artificial Intelligence Market Revenue and Forecast to 2027 – By End-User Industry (US$ Mn)
Table 30. Glossary of Terms, Artificial Intelligence in Fashion Market
LIST OF FIGURES
Figure 1. Artificial Intelligence in Fashion Market Segmentation
Figure 2. Artificial Intelligence in Fashion Market Segmentation - Country
Figure 3. Product Recommendation segment held the largest share in Asia Pacific Artificial Intelligence in Fashion market in 2018
Figure 4. Apparel segment represented the largest share in Asia Pacific Artificial Intelligence in Fashion market in 2018
Figure 5. North America held the largest share in Asia Pacific Artificial Intelligence in Fashion market in 2018
Figure 6. Asia Pacific Artificial Intelligence in Fashion Market, Industry Landscape
Figure 7. Asia Pacific PEST Analysis
Figure 8. Market Ecosystem Analysis
Figure 9. Artificial Intelligence in Fashion Market Impact Analysis of Drivers and Restraints
Figure 10. Asia Pacific Artificial Intelligence in Fashion Market Forecast And Analysis To 2027
Figure 11. Asia Pacific Artificial Intelligence in Fashion Market Breakdown, by Offerings, 2018 & 2027 (%)
Figure 12. Asia Pacific Solutions Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 13. Asia Pacific Services Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 14. Asia Pacific Artificial Intelligence in Fashion Market Breakdown, by Deployment, 2018 & 2027 (%)
Figure 15. Asia Pacific On-premise Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 16. Asia Pacific Cloud Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 17. Asia Pacific Artificial intelligence in fashion Market Breakdown, by Application, 2018 & 2027 (%)
Figure 18. Asia Pacific Product Recommendation Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 19. Asia Pacific Virtual Assistant Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 20. Asia Pacific Product Search and Discovery Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 21. Asia Pacific Creative Designing and Trend Forecasting Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 22. Asia Pacific Customer Relationship Management Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 23. Asia Pacific Others Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 24. Artificial intelligence in fashion Market Breakdown, By End user Industry, 2018 & 2027 (%)
Figure 25. Asia Pacific Apparel Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 26. Asia Pacific Accessories Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 27. Asia Pacific Cosmetics Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 28. Asia Pacific Others Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 29. APAC Artificial Intelligence in Fashion Market Breakdown, By Key Country, 2018 & 2027(%)
Figure 30. Australia Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 (US$ Mn)
Figure 31. China Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 (US$ Mn)
Figure 32. India Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 (US$ Mn)
Figure 33. Japan Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 (US$ Mn)
Figure 34. South Korea Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 (US$ Mn)
Figure 35. Rest of APAC Artificial Intelligence in Fashion Market Revenue and Forecast to 2027 (US$ Mn)
The List of Companies
- Adobe Inc.
- Amazon.com, Inc.
- Catchoom
- Facebook, Inc.
- Google, Inc. (Alphabet Inc.)
- Huawei Technologies Co., Ltd
- IBM Corporation
- Microsoft Corporation
- Oracle Corporation
- SAP SE
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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