The deep learning chip market in Asia Pacific is expected to grow from US$ 372.0 Mn in 2018 to US$ 5,702.2 Mn by the year 2027 with a CAGR of 35.7% from the year 2019 to 2027.
Driving factor such as the rising significance of quantum computing is propelling the growth of the deep learning chip market. Further, the growing adoption of deep learning chips mainly for edge devices is anticipated to propel the deep learning chip market growth in the near future. Quantum computing takes seconds to finish a calculation that would otherwise takes more time. Quantum computers are an innovative transformation of artificial intelligence, machine learning, and big data. Therefore, prominence of quantum computing is expected to drive the growth of deep learning chip market. Furthermore, quantum computing is beneficial for various factors including, portfolio optimization, fraud detection and risk management, and the areas where immediate data feedback is required. In addition to that, quantum algorithms based on artificial intelligence and machine learning help empower businesses by identifying bidding strategies and trading opportunities for promotional advertisements. This helps to respond in the most efficient way to changes in consumer demand and changing market. The hybrid between classical and quantum driven software with the use of deep learning chip is expected to improve and enhance the quality of products and services in the future.
The deep learning chip market is segmented on the basis of industry vertical into media & advertising, BFSI, IT & telecom, retail, healthcare, automotive & transportation, and others. Artificial intelligence allows businesses to prioritize and automate decision making, analyze big complex structured and unstructured data to provide deeper insights, and improve efficiency by accurate planning. Industry verticals such as banking and retail generates huge amount of data ranging from operations data to customer feedbacks. Availability of huge data is a perfect condition for application of deep learning chip technology in various business processes. During the forecast period of 2019 to 2027, the BFSI segment is anticipated to be the largest contributor in the deep learning chip market and is anticipated to continue its dominance during the forest period.
The China dominated the deep learning chip market in 2018 and is expected to dominate the market with the highest share in the Asia Pacific region through the forecast period. The creation of China’s first “national laboratory for deep learning,” was initiated in Beijing in a move that could help the country surpass the US in developing AI. In 2017, The National Development and Reform Commission (NDRC) approved the plan to open up a national engineering lab for researching and implementing deep learning technologies. China is at the forefront of new and emerging technologies such as AI, and the adoption and implementation rate of AI is high across all major industry verticals. The government is keen in maintaining China’s stronghold and competitiveness, especially in the adoption of advanced technologies. The above-mentioned factors are, therefore, contributing to the growth of the deep learning chip market in the country. The figure given below highlights the revenue share of the rest of Asia Pacific in the deep learning chip market in the forecast period:
Rest of Asia Pacific Deep Learning Chip Market Revenue and Forecasts to 2027 (US$ Mn)
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ASIA PACIFIC DEEP LEARNING CHIP - MARKET SEGMENTATION
ASIA PACIFIC DEEP LEARNING CHIP - By Chip Type
- GPU
- ASIC
- FPGA
- CPU
- Others
ASIA PACIFIC DEEP LEARNING CHIP - By Technology
- System-on-Chip
- System-in-Package
- Multi-chip Module
- Others
ASIA PACIFIC DEEP LEARNING CHIP - By Industry Vertical
- Media & Advertising
- BFSI
- IT & Telecom
- Retail
- Healthcare
- Automotive & Transportation
- Others
ASIA PACIFIC DEEP LEARNING CHIP - By Country
- Australia
- China
- India
- Japan
- South Korea
- Rest of APAC
Deep Learning Chip Market - Companies Mentioned
- Advanced Micro Devices, Inc.
- Amazon.com, Inc.
- Huawei Technologies Co., Ltd.
- Baidu, Inc.
- Alphabet Inc. (Google)
- Intel Corporation
- NVIDIA Corporation
- Qualcomm Technologies, Inc.
- Samsung Electronics Co. Ltd.
- Xilinx Inc.
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
Chip Type, Technology, Industry Vertical
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
2. Key Takeaways
3. Research Methodology
3.1 Coverage
3.2 Secondary Research
3.3 Primary Research
4. Asia Pacific Deep Learning Chip Market Landscape
4.1 Market Overview
4.2 Asia Pacific PEST Analysis
4.3 Ecosystem Analysis
4.4 Expert Opinions
5. Asia Pacific Deep Learning Chip market – Key Industry Dynamics
5.1 Key Market Drivers
5.1.1 Rising Significance of Quantum Computing
5.2 Key Market Restraints
5.2.1 Deficiency of technology and infrastructure knowledge in third world countries
5.3 Key Market Opportunities
5.3.1 Growing adoption of deep learning chips mainly for edge devices
5.4 Future Trends
5.4.1 Strong focus on the development of ASICs and application-specific custom/hybrid deep learning chips
5.5 Asia Pacific Impact Analysis of Drivers and Restraints
6. Deep Learning Chip Market – Asia Pacific Market Analysis
6.1 Market Overview
6.2 Asia Pacific Deep Learning Chip Market Forecast and Analysis
7. Asia Pacific Deep Learning Chip Market Analysis – By Chip Type
7.1 Overview
7.2 Asia Pacific Deep Learning Chip Market Breakdown, By Chip Type, 2018 & 2027
7.3 GPU
7.3.1 Overview
7.3.2 Asia Pacific GPU Market Revenue and Forecasts to 2027 (US$ Mn)
7.4 ASIC
7.4.1 Overview
7.4.2 Asia Pacific ASIC Market Revenue and Forecasts to 2027 (US$ Mn)
7.5 FPGA
7.5.1 Overview
7.5.2 Asia Pacific FPGA Market Revenue and Forecasts to 2027 (US$ Mn)
7.6 CPU
7.6.1 Overview
7.6.2 Asia Pacific CPU Market Revenue and Forecasts to 2027 (US$ Mn)
7.7 Others
7.7.1 Overview
7.7.2 Asia Pacific Others Market Revenue and Forecasts to 2027 (US$ Mn)
8. Asia Pacific Deep Learning Chip Revenue and Forecasts to 2027 – Technology
8.1 Overview
8.2 Asia Pacific Deep Learning Chip Market Breakdown, By Technology, 2018 & 2027
8.3 System-on-Chip
8.3.1 Overview
8.3.2 Asia Pacific System-On-Chip Market Revenue and Forecasts to 2027 (US$ Mn)
8.4 System-in-Package
8.4.1 Overview
8.4.2 Asia Pacific System-In-Package Market Revenue and Forecasts to 2027 (US$ Mn)
8.5 Multi-Chip Module
8.5.1 Overview
8.5.2 Asia Pacific Multi-Chip Module Revenue and Forecasts to 2027 (US$ Mn)
8.6 Others
8.6.1 Overview
8.6.2 Asia Pacific Others Revenue and Forecasts to 2027 (US$ Mn)
9. Asia Pacific Deep Learning Chip Market Analysis – By Industry Vertical
9.1 Overview
9.2 Asia Pacific Deep Learning Chip Market Breakdown, By Industry Vertical, 2018 & 2027
9.3 Media & Advertising
9.3.1 Overview
9.3.2 Asia Pacific Media & Advertising Market Revenue and Forecasts to 2027 (US$ Mn)
9.4 BFSI
9.4.1 Overview
9.4.2 Asia Pacific BFSI Market Revenue and Forecasts to 2027 (US$ Mn)
9.5 IT & Telecom
9.5.1 Overview
9.5.2 Asia Pacific IT & Telecom Market Revenue and Forecasts to 2027 (US$ Mn)
9.6 Retail
9.6.1 Overview
9.6.2 Asia Pacific Retail Market Revenue and Forecasts to 2027 (US$ Mn)
9.7 Healthcare
9.7.1 Overview
9.7.2 Asia Pacific Healthcare Market Revenue and Forecasts to 2027 (US$ Mn)
9.8 Automotive & Transportation
9.8.1 Overview
9.8.2 Asia Pacific Automotive & Transportation Market Revenue and Forecasts to 2027 (US$ Mn)
9.9 Others
9.9.1 Overview
9.9.2 Asia Pacific Others Market Revenue and Forecasts to 2027 (US$ Mn)
10. Asia Pacific Deep Learning Chip Market – Geographic Analysis
10.1 Overview
10.1.1 APAC Deep Learning Chip Market Revenue and Forecasts to 2027 (US$ Mn)
10.1.2 APAC Deep Learning Chip Market Breakdown by Chip Type
10.1.3 APAC Deep Learning Chip Market Breakdown by Technology
10.1.4 APAC Deep Learning Chip Market Breakdown, by Industry Vertical
10.1.5 APAC Deep Learning Chip Market Breakdown, by Country
10.1.5.1 South Korea Deep Learning Chip Market Revenue and Forecasts to 2027 (US$ MN)
10.1.5.1.1 South Korea Deep Learning Chip Market Breakdown by Chip Type
10.1.5.1.2 South Korea Deep Learning Chip Market Breakdown by Technology
10.1.5.1.3 South Korea Deep Learning Chip Market Breakdown, by Industry Vertical
10.1.5.2 China Deep Learning Chip Market Revenue and Forecasts to 2027 (US$ MN)
10.1.5.2.1 China Deep Learning Chip Market Breakdown, by Chip Type
10.1.5.2.2 China Deep Learning Chip Market Breakdown, by Technology
10.1.5.2.3 China Deep Learning Chip Market Breakdown, by Industry Vertical
10.1.5.3 India Deep Learning Chip Market Revenue and Forecasts to 2027 (US$ Mn)
10.1.5.3.1 India Deep Learning Chip Market Breakdown by Chip Type
10.1.5.3.2 India Deep Learning Chip Market Breakdown by Technology
10.1.5.3.3 India Deep Learning Chip Market Breakdown by Industry Vertical
10.1.5.4 Japan Deep Learning Chip Market Revenue and Forecasts to 2027 (US$ Mn)
10.1.5.4.1 Japan Deep Learning Chip Market Breakdown, by Chip Type
10.1.5.4.2 Japan Deep Learning Chip Market Breakdown, by Technology
10.1.5.4.3 Japan Deep Learning Chip Market Breakdown by Industry Vertical
10.1.5.5 Australia Deep Learning Chip Market Revenue and Forecasts to 2027 (US$ Mn)
10.1.5.5.1 Australia Deep Learning Chip Market Breakdown by Chip Type
10.1.5.5.2 Australia Deep Learning Chip Market Breakdown by Technology
10.1.5.5.3 Australia Deep Learning Chip Market Breakdown by Industry Vertical
10.1.5.6 Rest of APAC Deep Learning Chip Market Revenue and Forecasts to 2027 (US$ Mn)
10.1.5.6.1 Rest of APAC Deep Learning Chip Market Breakdown, by Chip Type
10.1.5.6.2 Rest of APAC Deep Learning Chip Market Breakdown, by Technology
10.1.5.6.3 Rest of APAC Deep Learning Chip Market Breakdown, by Industry Vertical
11. Industry Landscape
11.1 Overview
11.2 Market Initiative
11.3 Merger and Acquisition
11.4 New Development
12. Company Profiles
12.1 Advanced Micro Devices, Inc.
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 Alphabet Inc. (Google)
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 Amazon.com, Inc.
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 Baidu, Inc.
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 Huawei Technologies Co., Ltd.
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 Intel Corporation
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 NVIDIA Corporation
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 Qualcomm Incorporated
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 Samsung electronics Co., Ltd.
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 Xilinx, Inc.
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
LIST OF TABLES
Table 1. Asia Pacific Deep Learning Chip Market Revenue and Forecasts to 2027 (US$ Mn)
Table 2. APAC Deep Learning Chip Market Revenue and Forecasts to 2027 – By Chip type (US$ Mn)
Table 3. APAC Deep Learning Chip Market Revenue and Forecasts to 2027 – By Technology (US$ Mn)
Table 4. APAC Deep Learning Chip Market Revenue and Forecasts to 2027 – By Industry Vertical (US$ Mn)
Table 5. South Korea Deep Learning Chip Market Revenue and Forecasts to 2027 – By Chip Type (US$ Mn)
Table 6. South Korea Deep Learning Chip Market Revenue and Forecasts to 2027 – By Technology (US$ Mn)
Table 7. South Korea Deep Learning Chip Market Revenue and Forecasts to 2027 – By Industry Vertical (US$ Mn)
Table 8. China Deep Learning Chip Market Revenue and Forecasts to 2027 – By Chip Type (US$ Mn)
Table 9. China Deep Learning Chip Market Revenue and Forecasts to 2027 – By Technology (US$ Mn)
Table 10. China Deep Learning Chip Market Revenue and Forecasts to 2027 – By Industry Vertical (US$ Mn)
Table 11. India Deep Learning Chip Market Revenue and Forecasts to 2027 – By Chip Type (US$ Mn)
Table 12. India Deep Learning Chip Market Revenue and Forecasts to 2027 – By Technology (US$ Mn)
Table 13. India Deep Learning Chip Market Revenue and Forecasts to 2027 – By Industry Vertical (US$ Mn)
Table 14. Japan Deep Learning Chip Market Revenue and Forecasts to 2027 – By Chip type (US$ Mn)
Table 15. Japan Deep Learning Chip Market Revenue and Forecasts to 2027 – By Technology (US$ Mn)
Table 16. Japan Deep Learning Chip Market Revenue and Forecasts to 2027 – By Industry Vertical (US$ Mn)
Table 17. Australia Deep Learning Chip Market Revenue and Forecasts to 2027 – By Chip type (US$ Mn)
Table 18. Australia Deep Learning Chip Market Revenue and Forecasts to 2027 – By Technology (US$ Mn)
Table 19. Australia Deep Learning Chip Market Revenue and Forecasts to 2027 – By Industry Vertical (US$ Mn)
Table 20. Rest of APAC Deep Learning Chip Market Revenue and Forecasts to 2027 – By Chip type (US$ Mn)
Table 21. Rest of APAC Deep Learning Chip Market Revenue and Forecasts to 2027 – By Technology (US$ Mn)
Table 22. Rest of APAC Deep Learning Chip Market Revenue and Forecasts to 2027 – By Industry Vertical (US$ Mn)
Table 23. Glossary of Terms, Deep Learning Chip Market
LIST OF FIGURES
Figure 1. Asia Pacific Deep Learning Chip Market Segmentation
Figure 2. Asia Pacific Deep Learning Chip Market Segmentation – By Country
Figure 3. Asia Pacific Deep Learning Chip Market, By Chip Type
Figure 4. Asia Pacific Deep Learning Chip Market Competitive Landscape
Figure 5. Asia Pacific Deep Learning Chip Market Overview
Figure 6. PEST Analysis
Figure 7. Market Ecosystem Analysis
Figure 8. Asia Pacific Deep Learning Chip Market Impact Analysis of Drivers and Restraints
Figure 9. Asia Pacific Deep Learning Chip Market Forecast and Analysis, (US$ Mn)
Figure 10. Asia Pacific Deep Learning Chip Market Breakdown, By Chip Type, 2018 & 2027 (%)
Figure 11. Asia Pacific GPU Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 12. Asia Pacific ASIC Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 13. Asia Pacific FPGA Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 14. Asia Pacific CPU Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 15. Asia Pacific Others Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 16. Asia Pacific Deep Learning Chip Market Breakdown, By Technology, 2018 & 2027 (%)
Figure 17. Asia Pacific System-On-Chip Revenue and Forecasts to 2027 (US$ Mn)
Figure 18. Asia Pacific System-In-Package market Revenue and Forecasts to 2027 (US$ Mn)
Figure 19. Asia Pacific Multi-Chip Module Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 20. Asia Pacific Others market Revenue and Forecasts to 2027 (US$ Mn)
Figure 21. Asia Pacific Deep Learning Chip Market Breakdown, By Industry Vertical, 2018 & 2027 (%)
Figure 22. Asia Pacific Media & Advertising Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 23. Asia Pacific BFSI Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 24. Asia Pacific IT & Telecom Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 25. Asia Pacific Retail Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 26. Asia Pacific Healthcare Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 27. Asia Pacific Automotive & Transportation Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 28. Asia Pacific Others Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 29. APAC Deep Learning Chip Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 30. APAC Deep Learning Chip Market Breakdown by Chip type, 2018 & 2027 (%)
Figure 31. APAC Deep Learning Chip Market Breakdown by Technology, 2018 & 2027 (%)
Figure 32. APAC Deep Learning Chip Market Breakdown by Industry Vertical, 2018 & 2027 (%)
Figure 33. APAC Deep Learning Chip Market Breakdown, by Key Country, 2018 & 2027(%)
Figure 34. South Korea Deep Learning Chip Market Revenue and Forecasts to 2027 (US$ MN)
Figure 35. China Deep Learning Chip Market Revenue and Forecasts to 2027 (US$ MN)
Figure 36. India Deep Learning Chip Market Revenue and Forecasts to 2027 (US$ MN)
Figure 37. Japan Deep Learning Chip Market Revenue and Forecasts to 2027 (US$ MN)
Figure 38. Australia Deep Learning Chip Market Revenue and Forecasts to 2027 (US$ MN)
Figure 39. rest of APAC Deep Learning Chip Market Revenue and Forecasts to 2027 (US$ MN)
The List of Companies - Asia Pacific Deep Learning Chip Market
- Advanced Micro Devices, Inc.
- Amazon.com, Inc.
- Huawei Technologies Co., Ltd.
- Baidu, Inc.
- Alphabet Inc. (Google)
- Intel Corporation
- NVIDIA Corporation
- Qualcomm Technologies, Inc.
- Samsung Electronics Co. Ltd.
- Xilinx Inc.
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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