Big data analytics in education helps educators to analyze the performance of the individual and empowers students and teachers to learn new concepts. In addition, use of big data analytics allows educators and learners to access learning content through many computing devices, such as desktop computers, tablets, personal computers, and smartphones in institutions, which is one of the major factors that drives the growth of the big data analytics in education market. In addition, various private companies in countries of Asia-Pacific are introducing new technologies for helping students to find their key areas of interest, which is contributing toward the growth of the market. For instance, in June 2020, Microsoft Corporation acquired ADRM Software, a provider large-scale industry data models, which are used by large education institutes across Asia-Pacific as an information blueprint. The acquisition strengthened business analytics portfolio of Microsoft. In addition, majority of the market players are establishing partnership to help students to easily run their learning workloads in the cloud, expanding their business solutions and to streamline their business opportunities. The key players of the market such as Microsoft Corporation and IBM Corporation are updating their products to increase their product adoption rate and to help education sector to analyze massive volume of data for gaining meaning full insights from the data.
Rise in need for data-driven decisions to improve education quality and increase in awareness about the changing a learning system in response to student performance are the key driving forces of the Asia big data analytics in education market. In addition, rise in technological investment among education institutes propels the growth of the market.
However, lack of awareness and skilled resources to manage education analytics solutions, rise in data visualization related issues, and high initial investment cost hamper the growth of the market. On the contrary, increase in penetration of cloud-based learning analytics solution and advent of machine learning and artificial intelligence are expected to provide lucrative opportunities for the expansion of the Asia big data analytics in education market during the forecast period.
The Asia big data analytics in education market is segmented into component, deployment model, application, and country. On the basis of component, the market is segregated into solution and services. By deployment model, it is bifurcated into on-premise and cloud. The applications covered in the study include course recommendations, skill assessments student behavior detection, and others. Country wise, the market is analyzed across China, India, Japan, South Korea, Singapore, Sri Lanka, and rest of Asia-Pacific.
The key players profiled in the market report are Alteryx, Inc., Blackboard, Inc., D2L Corporation, IBM Corporation, Microsoft Corporation, Oracle Corporation, SAP SE, SAS Institute, Tableau Software and TIBCO Software. These players have adopted various strategies to increase their market penetration and strengthen their position in the industry.
Rise in need for data-driven decisions to improve education quality and increase in awareness about the changing a learning system in response to student performance are the key driving forces of the Asia big data analytics in education market. In addition, rise in technological investment among education institutes propels the growth of the market.
However, lack of awareness and skilled resources to manage education analytics solutions, rise in data visualization related issues, and high initial investment cost hamper the growth of the market. On the contrary, increase in penetration of cloud-based learning analytics solution and advent of machine learning and artificial intelligence are expected to provide lucrative opportunities for the expansion of the Asia big data analytics in education market during the forecast period.
The Asia big data analytics in education market is segmented into component, deployment model, application, and country. On the basis of component, the market is segregated into solution and services. By deployment model, it is bifurcated into on-premise and cloud. The applications covered in the study include course recommendations, skill assessments student behavior detection, and others. Country wise, the market is analyzed across China, India, Japan, South Korea, Singapore, Sri Lanka, and rest of Asia-Pacific.
The key players profiled in the market report are Alteryx, Inc., Blackboard, Inc., D2L Corporation, IBM Corporation, Microsoft Corporation, Oracle Corporation, SAP SE, SAS Institute, Tableau Software and TIBCO Software. These players have adopted various strategies to increase their market penetration and strengthen their position in the industry.
KEY BENEFITS FOR STAKEHOLDERS
- The study provides an in-depth analysis of the Asia big data analytics in education market forecast along with the current trends and future estimations to explain the imminent investment pockets.
- Information about key drivers, restraints, & opportunities and their impact analysis on the market is provided in the report.
- Porter’s five forces analysis illustrates the potency of the buyers and suppliers operating in the industry.
- The quantitative analysis of the market from 2021 to 2030 is provided to determine the market potential.
KEY MARKET SEGMENTS
By Component
- Solution
- Services
By Deployment Mode
- On-premise
- Cloud
By Application
- Course Recommendation
- Skill Assessment
- Student Behavior Detection
- Others
By Country
- China
- India
- Japan
- South Korea
- Singapore
- Sri Lanka
- Rest of Asia-Pacific
KEY MARKET PLAYERS
- Alteryx, Inc.
- Blackboard, Inc.
- D2L Corporation
- IBM Corporation
- Microsoft Corporation
- Oracle Corporation
- SAP SE
- SAS Institute
- Tableau Software
- TIBCO Software
Table of Contents
CHAPTER 1: INTRODUCTION1.1. Report description1.2. Key benefits for stakeholders
1.3. Key market segments
1.4. Research methodology
1.4.1. Secondary research
1.4.2. Primary research
1.4.3. Analyst tools & models
CHAPTER 2: EXECUTIVE SUMMARY2.1. Key findings
2.1.1. Top impacting factors
2.2. CXO perspective
CHAPTER 3: MARKET OVERVIEW3.1. Market definition and scope
3.2. Key forces shaping the Asia big data analytics in education market
3.3. Industry roadmap
3.4. Market dynamics
3.4.1. Drivers
3.4.1.1. Rise need for data-driven decisions to improve education quality
3.4.1.2. Increase in awareness about the changing learning system
3.4.1.3. Rise in investment among education institutions
3.4.2. Restraint
3.4.2.1. Lack of awareness and skilled resources to manage education analytics solution
3.4.3. Opportunities
3.4.3.1. Advent of machine learning and artificial intelligence
3.4.3.2. Surge in adoption of cloud-based learning analytics solution
3.5. COVID-19 impact analysis on the Asia-Pacific big data and business analytics in education market
3.5.1. Impact on the market size
3.5.2. Consumer trends, preferences, and budget impact
3.5.3. Economic impact
3.5.4. Strategies to tackle negative impact
3.5.5. Opportunity window
CHAPTER 4: ASIA-PACIFICBIG DATA IN EDUCATION MARKET, BY COMPONENT4.1. Overview
4.2. Solution
4.2.1. Key market trends, growth factors, and opportunities
4.2.2. Market size and forecast, by region
4.3. Service
4.3.1. Key market trends, growth factors, and opportunities
4.3.2. Market size and forecast, by region
CHAPTER 5: ASIA-PACIFICBIG DATA IN EDUCATION MARKET, BY DEPLOYMENT MODEL OVERVIEW5.1. On-premise
5.1.1. Key market trends, growth factors, and opportunities
5.1.2. Market size and forecast, by region
5.2. Cloud
5.2.1. Key market trends, growth factors, and opportunities
5.2.2. Market size and forecast, by region
CHAPTER 6: ASIA-PACIFIC BIG DATA IN EDUCATION MARKET, BY APPLICATION6.1. Overview
6.2. Course recommendation
6.2.1. Key market trends, growth factors, and opportunities
6.2.2. Market size and forecast, by region
6.3. Skill assessment
6.3.1. Key market trends, growth factors, and opportunities
6.3.2. Market size and forecast, by region
6.4. Student behavior detection
6.4.1. Key market trends, growth factors, and opportunities
6.4.2. Market size and forecast, by region
6.5. Others
6.5.1. Key market trends, growth factors, and opportunities
6.5.2. Market size and forecast, by region
CHAPTER 7: BIG DATA IN EDUCATION MARKET, BY COUNTRY7.1. Overview
7.1.1. Market size and forecast, by country
7.2. China
7.2.1. Market size and forecast, by component
7.2.2. Market size and forecast, by deployment model
7.2.3. Market size and forecast, by application
7.3. India
7.3.1. Market size and forecast, by component
7.3.2. Market size and forecast, by deployment model
7.3.3. Market size and forecast, by application
7.4. Japan
7.4.1. Market size and forecast, by component
7.4.2. Market size and forecast, by deployment model
7.4.3. Market size and forecast, by application
7.5. South Korea
7.5.1. Market size and forecast, by component
7.5.2. Market size and forecast, by deployment model
7.5.3. Market size and forecast, by application
7.6. Singapore
7.6.1. Market size and forecast, by component
7.6.2. Market size and forecast, by deployment model
7.6.3. Market size and forecast, by application
7.7. Sri Lanka
7.7.1. Market size and forecast, by component
7.7.2. Market size and forecast, by deployment model
7.7.3. Market size and forecast, by application
7.8. Rest of Asia-Pacific
7.8.1. Market size and forecast, by component
7.8.2. Market size and forecast, by deployment model
7.8.3. Market size and forecast, by application
CHAPTER 8: COMPETITIVE LANDSCAPE8.1. Key players positioning analysis, 2020
8.2. Competitive dashboard
8.3. Top winning strategies
CHAPTER 9: COMPANY PROFILE9.1. ALTERYX, INC.
9.1.1. Company overview
9.1.2. Key executives
9.1.3. Company snapshot
9.1.4. Product portfolio
9.1.5. R&D expenditure
9.1.6. Business performance
9.1.7. Key strategic moves and developments
9.2. BLACKBOARD INC.
9.2.1. Company overview
9.2.2. Key executives
9.2.3. Company snapshot
9.2.4. Product portfolio
9.2.5. Key strategic moves and developments
9.3. D2L CORPORATION
9.3.1. Company overview
9.3.2. Key executives
9.3.3. Company snapshot
9.3.4. Product portfolio
9.3.5. Key strategic moves and developments
9.4. IBM CORPORATION
9.4.1. Company overview
9.4.2. Key executives
9.4.3. Company snapshot
9.4.4. Operating business segments
9.4.5. Product portfolio
9.4.6. Business performance
9.4.7. Key strategic moves and developments
9.5. MICROSOFT CORPORATION
9.5.1. Company overview
9.5.2. Key executive
9.5.3. Company snapshot
9.5.4. Operating business segments
9.5.5. Product portfolio
9.5.6. R&D expenditure
9.5.7. Business performance
9.5.8. Key strategic moves and developments
9.6. ORACLE CORPORATION
9.6.1. Company overview
9.6.2. Key executive
9.6.3. Company snapshot
9.6.4. Operating business segments
9.6.5. Product portfolio
9.6.6. R&D expenditure
9.6.7. Business performance
9.6.8. Key strategic moves and developments
9.7. SAP SE
9.7.1. Company overview
9.7.2. Key executives
9.7.3. Company snapshot
9.7.4. Product portfolio
9.7.5. R&D expenditure
9.7.6. Business performance
9.7.7. Key strategic moves and developments
9.8. SAS INSTITUTE
9.8.1. Company overview
9.8.2. Key executives.
9.8.3. Company snapshot
9.8.4. Product portfolio
9.8.5. Key strategic moves and developments
9.9. TABLEAU SOFTWARE
9.9.1. Company overview
9.9.2. Key executives
9.9.3. Company snapshot
9.9.4. Product portfolio
9.9.5. R&D expenditure
9.9.6. Business performance
9.9.7. Key strategic moves and developments
9.10. TIBCO SOFTWARE
9.10.1. Company overview
9.10.2. Key executives
9.10.3. Company snapshot
9.10.4. Product portfolio
9.10.5. Key strategic moves and developments
List of Tables
TABLE 01. ASIA-PACIFICBIG DATA IN EDUCATION MARKET REVENUE, BY COMPONENT , 2020-2030 ($MILLION)
TABLE 02. ASIA-PACIFICBIG DATA IN EDUCATION MARKET REVENUE FOR SOLUTION, BY COUNTRY, 2020-2030 ($MILLION)
TABLE 03. ASIA-PACIFICBIG DATA IN EDUCATION MARKET REVENUE FOR SERVICE, BY COUNTRY, 2020-2030 ($MILLION)
TABLE 04. ASIA-PACIFICBIG DATA IN EDUCATION MARKET REVENUE, BY DEPLOYMENT MODEL , 2020-2030 ($MILLION)
TABLE 05. ASIA-PACIFICBIG DATA IN EDUCATION MARKET REVENUE FOR ON-PREMISE DEPLOYMENT, BY COUNTRY, 2020-2030 ($MILLION)
TABLE 06. ASIA-PACIFICBIG DATA IN EDUCATION MARKET REVENUE FOR CLOUD-BASED DEPLOYMENT, BY COUNTRY, 2020-2030 ($MILLION)
TABLE 07. ASIA-PACIFIC BIG DATA IN EDUCATION MARKET REVENUE, BY APPLICATION , 2020-2030 ($MILLION)
TABLE 08. ASIA-PACIFICBIG DATA IN EDUCATION MARKET REVENUE FOR COURSE RECOMMENDATION, BY COUNTRY, 2020-2030 ($MILLION)
TABLE 09. ASIA-PACIFIC BIG DATA IN EDUCATION MARKET REVENUE FOR SKILL ASSESSMENT, BY COUNTRY, 2020-2030 ($MILLION)
TABLE 10. ASIA-PACIFICBIG DATA IN EDUCATION MARKET REVENUE FOR STUDENT BEHAVIOR DETECTION, BY COUNTRY, 2020-2030 ($MILLION)
TABLE 11. ASIA-PACIFIC BIG DATA IN EDUCATION MARKET REVENUE FOR OTHERS, BY COUNTRY, 2020-2030 ($MILLION)
TABLE 12. ASIA-PACIFIC BIG DATA IN EDUCATION MARKET REVENUE, BY COUNTRY, 2020-2030 ($MILLION)
TABLE 13. CHINA BIG DATA IN EDUCATION MARKET REVENUE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 14. CHINA BIG DATA IN EDUCATION MARKET REVENUE, BY DEPLOYMENT MODEL, 2020-2030 ($MILLION)
TABLE 15. CHINA BIG DATA IN EDUCATION MARKET REVENUE, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 16. INDIA BIG DATA IN EDUCATION MARKET REVENUE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 17. INDIA BIG DATA IN EDUCATION MARKET REVENUE, BY DEPLOYMENT MODEL, 2020-2030 ($MILLION)
TABLE 18. INDIA BIG DATA IN EDUCATION MARKET REVENUE, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 19. JAPAN BIG DATA IN EDUCATION MARKET REVENUE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 20. JAPAN BIG DATA IN EDUCATION MARKET REVENUE, BY DEPLOYMENT MODEL, 2020-2030 ($MILLION)
TABLE 21. JAPAN BIG DATA IN EDUCATION MARKET REVENUE, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 22. SOUTH KOREA BIG DATA IN EDUCATION MARKET REVENUE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 23. SOUTH KOREA BIG DATA IN EDUCATION MARKET REVENUE, BY DEPLOYMENT MODEL, 2020-2030 ($MILLION)
TABLE 24. SOUTH KOREA BIG DATA IN EDUCATION MARKET REVENUE, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 25. SINGAPORE BIG DATA IN EDUCATION MARKET REVENUE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 26. SINGAPORE BIG DATA IN EDUCATION MARKET REVENUE, BY DEPLOYMENT MODEL, 2020-2030 ($MILLION)
TABLE 27. SINGAPORE BIG DATA IN EDUCATION MARKET REVENUE, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 28. SRI LANKA BIG DATA IN EDUCATION MARKET REVENUE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 29. SRI LANKA BIG DATA IN EDUCATION MARKET REVENUE, BY DEPLOYMENT MODEL, 2020-2030 ($MILLION)
TABLE 30. SRI LANKA BIG DATA IN EDUCATION MARKET REVENUE, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 31. REST OF ASIA-PACIFIC BIG DATA IN EDUCATION MARKET REVENUE, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 32. REST OF ASIA-PACIFIC BIG DATA IN EDUCATION MARKET REVENUE, BY DEPLOYMENT MODEL, 2020-2030 ($MILLION)
TABLE 33. REST OF ASIA-PACIFIC BIG DATA IN EDUCATION MARKET REVENUE, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 34. ALTERYX, INC.: KEY EXECUTIVES
TABLE 35. ALTERYX, INC.: COMPANY SNAPSHOT
TABLE 36. ALTERYX, INC.: PRODUCT PORTFOLIO
TABLE 37. BLACKBOARD INC.: KEY EXECUTIVES
TABLE 38. BLACKBOARD INC.: COMPANY SNAPSHOT
TABLE 39. BLACKBOARD INC.: PRODUCT PORTFOLIO
TABLE 40. D2L CORPORATION.: KEY EXECUTIVES
TABLE 41. D2L CORPORATION: COMPANY SNAPSHOT
TABLE 42. D2L CORPORATION: PRODUCT PORTFOLIO
TABLE 43. INTERNATIONAL BUSINESS MACHINES CORPORATION: KEY EXECUTIVES
TABLE 44. INTERNATIONAL BUSINESS MACHINES CORPORATION: COMPANY SNAPSHOT
TABLE 45. INTERNATIONAL BUSINESS MACHINES CORPORATION: OPERATING SEGMENTS
TABLE 46. INTERNATIONAL BUSINESS MACHINES CORPORATION: PRODUCT PORTFOLIO
TABLE 47. MICROSOFT CORPORATION: KEY EXECUTIVE
TABLE 48. MICROSOFT CORPORATION: COMPANY SNAPSHOT
TABLE 49. MICROSOFT CORPORATION: OPERATING SEGMENTS
TABLE 50. MICROSOFT CORPORATION: PRODUCT PORTFOLIO
TABLE 51. ORACLE CORPORATION: KEY EXECUTIVE
TABLE 52. ORACLE CORPORATION: COMPANY SNAPSHOT
TABLE 53. ORACLE CORPORATION: OPERATING SEGMENTS
TABLE 54. ORACLE CORPORATION: PRODUCT PORTFOLIO
TABLE 55. SAP SE: KEY EXECUTIVES
TABLE 56. SAP SE: COMPANY SNAPSHOT
TABLE 57. SAP SE: PRODUCT PORTFOLIO
TABLE 58. SAS INSTITUTE, INC.: KEY EXECUTIVES
TABLE 59. SAS INSTITUTE, INC.: COMPANY SNAPSHOT
TABLE 60. SAS INSTITUTE, INC.: PRODUCT PORTFOLIO
TABLE 61. TABLEAU SOFTWARE: KEY EXECUTIVES
TABLE 62. TABLEAU SOFTWARE: COMPANY SNAPSHOT
TABLE 63. TABLEAU SOFTWARE: PRODUCT PORTFOLIO
TABLE 64. TIBCO SOFTWARE INC.: KEY EXECUTIVES
TABLE 65. TIBCO SOFTWARE INC.: COMPANY SNAPSHOT
TABLE 66. TIBCO SOFTWARE INC.: PRODUCT PORTFOLIO
List of Figures
FIGURE 01. KEY MARKET SEGMENTS
FIGURE 02. ASIA BIG DATA ANALYTICS IN EDUCATION MARKET SNAPSHOT, BY SEGMENTATION, 2020-2030
FIGURE 03. ASIA BIG DATA ANALYTICS IN EDUCATION MARKET SNAPSHOT, BY COUNTRY, 2020-2030
FIGURE 04. TOP IMPACTING FACTORS
FIGURE 05. LOW-TO-MODERATE BARGAINING POWER OF SUPPLIERS
FIGURE 06. LOW-TO-HIGH BARGAINING POWER OF BUYERS
FIGURE 07. LOW-TO-MODERATE THREAT OF SUBSTITUTES
FIGURE 08. MODERATE-TO-HIGH THREAT OF NEW ENTRANTS
FIGURE 09. MODERATE-TO-HIGH COMPETITIVE RIVALRY
FIGURE 10. ASIA-PACIFICBIG DATA IN EDUCATION MARKET REVENUE, BY COMPONENT, 2020-2030 ($MILLION)
FIGURE 11. ASIA-PACIFICBIG DATA IN EDUCATION MARKET REVENUE, BY DEPLOYMENT MODEL, 2020-2030 ($MILLION)
FIGURE 12. ASIA-PACIFIC BIG DATA IN EDUCATION MARKET REVENUE, BY APPLICATION, 2020-2030 ($MILLION)
FIGURE 13. CHINA BIG DATA AND BUSINESS ANALYTICS MARKET REVENUE, 2020-2030 ($MILLION)
FIGURE 14. INDIA BIG DATA AND BUSINESS ANALYTICS MARKET REVENUE, 2020-2030 ($MILLION)
FIGURE 15. JAPAN BIG DATA AND BUSINESS ANALYTICS MARKET REVENUE, 2020-2030 ($MILLION)
FIGURE 16. SOUTH KOREA BIG DATA AND BUSINESS ANALYTICS MARKET REVENUE, 2020-2030 ($MILLION)
FIGURE 17. SINGAPORE BIG DATA AND BUSINESS ANALYTICS MARKET REVENUE, 2020-2030 ($MILLION)
FIGURE 18. SRI LANKA BIG DATA AND BUSINESS ANALYTICS MARKET REVENUE, 2020-2030 ($MILLION)
FIGURE 19. REST OF ASIA-PACIFIC BIG DATA AND BUSINESS ANALYTICS MARKET REVENUE, 2020-2030 ($MILLION)
FIGURE 20. KEY PLAYER POSITIONING ANLYSIS: ASIA BIG DATA ANALYTICS IN EDUCATION MARKET
FIGURE 21. COMPETITIVE DASHBOARD
FIGURE 22. COMPETITIVE DASHBOARD
FIGURE 23. COMPETITIVE HEATMAP OF KEY PLAYERS
FIGURE 24. TOP WINNING STRATEGIES, BY YEAR, 2018-2021
FIGURE 25. TOP WINNING STRATEGIES, BY DEVELOPMENT, 2018-2021
FIGURE 26. TOP WINNING STRATEGIES, BY COMPANY, 2018-2021
FIGURE 27. R&D EXPENDITURE, 2018-2020 ($MILLION)
FIGURE 28. ALTERYX, INC.: REVENUE, 2018-2020 ($MILLION)
FIGURE 29. ALTERYX, INC.: REVENUE SHARE BY REGION, 2020 (%)
FIGURE 30. INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE, 2018-2020 ($MILLION)
FIGURE 31. INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE SHARE BY SEGMENT, 2020 (%)
FIGURE 32. INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE SHARE BY REGION, 2020 (%)
FIGURE 33. R&D EXPENDITURE, 2018-2020 ($MILLION)
FIGURE 34. MICROSOFT CORPORATION: REVENUE, 2018-2020 ($MILLION)
FIGURE 35. MICROSOFT CORPORATION: REVENUE SHARE BY SEGMENT, 2020(%)
FIGURE 36. MICROSOFT CORPORATION: REVENUE SHARE BY REGION, 2020(%)
FIGURE 37. R&D EXPENDITURE, 2018-2020 ($MILLION)
FIGURE 38. ORACLE CORPORATION: REVENUE, 2018-2020 ($MILLION)
FIGURE 39. ORACLE CORPORATION: REVENUE SHARE BY SEGMENT, 2020 (%)
FIGURE 40. ORACLE CORPORATION: REVENUE SHARE BY REGION, 2020 (%)
FIGURE 41. R&D EXPENDITURE, 2018-2020 ($MILLION)
FIGURE 42. SAP SE: REVENUE, 2018-2020 ($MILLION)
FIGURE 43. SAP SE: REVENUE SHARE BY REGION, 2020 (%)
FIGURE 44. R&D EXPENDITURE, 2018-2020 ($MILLION)
FIGURE 45. SALESFORCE, INC.: REVENUE, 2018-2020 ($MILLION)
FIGURE 46. SALESFORCE, INC.: REVENUE SHARE BY REGION, 2020 (%)
Companies Mentioned
- Alteryx Inc.
- Blackboard Inc.
- D2L Corporation
- IBM Corporation
- Microsoft Corporation
- Oracle Corporation
- SAP SE
- SAS Institute
- Tableau Software
- TIBCO Software
Methodology
The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.
They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.
They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:
- Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
- Scientific and technical writings for product information and related preemptions
- Regional government and statistical databases for macro analysis
- Authentic news articles and other related releases for market evaluation
- Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast
Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.
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