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Synthetic Data Generation Market by Component, Deployment Mode, Data Type, Application, Industry Vertical: Global Opportunity Analysis and Industry Forecast, 2021-2031

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    Report

  • 279 Pages
  • December 2022
  • Region: Global
  • Allied Market Research
  • ID: 5743558
Synthetic data is evolving as an advantageous solution for model development. The idea is to allow machine learning methodologies to learn the statistical information from a real data set and simulate it on a new simulated data set, without copying or transforming the original data. Synthetic data is artificially created and keeps the original data properties, safeguarding its business value while maintaining compliance. It is important to preserve the data quality and structure, ensuring high-quality data for purposes such as training machine learning models. Moreover, using synthetic data, organizations can achieve data set balance, address issues such as bias, and certify fair within the data sets used to develop data science initiatives.

On the contrary, recently, there has been a growing interest in generative models for applications such as creating new types of art or simulating video sequences. However, developments in tabular data seem to be less ambitious, despite being the most frequent type of data available in the world. Synthetic tabular data is disrupting industries like autonomous vehicles, healthcare, and financial services. The healthcare business embraces this novel idea, not only for addressing patients’ privacy concerns, but also for simulating synthetic genomic datasets or patient medical records in research projects. Such advantages provide lucrative opportunities for the market growth during the forecast period. Furthermore, many organizations such as government & defense, BFSI, robotics and other sectors are adopting synthetic data generation due to surge in demand of digitization. This factor creates lucrative growth opportunities in the market.

Surge in digitalization transformation across enterprises and rise in adoption of advanced technology such as AI and ML drive the growth of the market. However, lack of skilled workforce hamper the growth of the market. Furthermore, increase in demand for connected devices and IoT and other technologies is expected to provide the lucrative growth opportunities for the market in the upcoming years.

The synthetic data generation market is segmented on the basis of component, deployment mode, data type, application, industry vertical, and region. By component, it is bifurcated into solutions and services. By deployment mode, it is divided into on-premises and cloud. On the basis of data type, it is categorized into tabular data, text data, image and video data and others. By application, the market is segmented into AI training and development, test data management, data sharing and retention, data analytics and others. By industry vertical, the market is categorized into BFSI, IT and telecommunication, government and defense, healthcare and life sciences, manufacturing, transportation and logistics, media & entertainment, manufacturing and others. Region wise, it is analyzed across North America, Europe, Asia-Pacific and LAMEA.

The market players operating in the synthetic data generation market include Amazon.com, Inc., CVEDIA Inc., Datagen, Gretel Labs, IBM Corporation, Meta, Microsoft Corporation, Mostly AI, NVIDIA Corporation and Synthesis AI. These major players have adopted various key development strategies such as business expansion, new product launches, and partnerships, which help to drive the growth of the synthetic data generation market globally.

KEY BENEFITS FOR STAKEHOLDERS
  • The study provides an in-depth analysis of the global synthetic data generation market forecast along with the current and future trends to explain the imminent investment pockets.
  • Information about key drivers, restraints, and opportunities and their impact analysis on global synthetic data generation market trends is provided in the report.
  • The Porter’s five forces analysis illustrates the potency of the buyers and suppliers operating in the industry.
  • The quantitative analysis of the global synthetic data generation market from 2022 to 2031 is provided to determine the market potential.

Key Market Segments

By Component

  • Solution
  • Services

By Deployment Mode

  • On-Premise
  • Cloud

By Data Type

  • Tabular Data
  • Text Data
  • Image and Video Data
  • Others

By Application

  • AI Training and Development
  • Test Data Management
  • Data Sharing and Retention
  • Data Analytics
  • Others

By Industry Vertical

  • BFSI
  • Healthcare and Life Sciences
  • Transportation and Logistics
  • Government and Defense
  • IT and Telecommunication
  • Manufacturing
  • Media and Entertainment
  • Others

By Region

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Italy
  • Spain
  • Rest of Europe
  • Asia-Pacific
  • China
  • Japan
  • India
  • Australia
  • South Korea
  • Rest of Asia-Pacific
  • LAMEA
  • Latin America
  • Middle East
  • Africa

Key Market Players

  • Gretel Labs
  • Microsoft Corporation
  • Meta
  • IBM Corporation
  • NVIDIA Corporation
  • Synthesis AI
  • CVEDIA Inc.
  • Datagen
  • Mostly AI
  • Amazon.com, Inc.

Table of Contents

CHAPTER 1: INTRODUCTION
1.1. Report description
1.2. Key market segments
1.3. Key benefits to the stakeholders
1.4. Research Methodology
1.4.1. Secondary research
1.4.2. Primary research
1.4.3. Analyst tools and models

CHAPTER 2: EXECUTIVE SUMMARY
2.1. Key findings of the study
2.2. CXO Perspective

CHAPTER 3: MARKET OVERVIEW
3.1. Market definition and scope
3.2. Key findings
3.2.1. Top investment pockets
3.3. Porter’s five forces analysis
3.4. Market dynamics
3.4.1. Drivers
3.4.1.1. Increasing adoption of advanced technologies such as Artificial intelligence (AI) and machine learning (ML).
3.4.1.2. Enabling the development of Automotive sector and driver safety systems.
3.4.2. Restraints
3.4.2.1. Lack of skilled workforce and reliability issue can hamper the market growth
3.4.3. Opportunities
3.4.3.1. Rapid changes in business model technology due to geographical expansion
3.5. COVID-19 Impact Analysis on the market

CHAPTER 4: SYNTHETIC DATA GENERATION MARKET, BY COMPONENT
4.1 Overview
4.1.1 Market size and forecast
4.2. Solution
4.2.1 Key market trends, growth factors and opportunities
4.2.2 Market size and forecast, by region
4.2.3 Market share analysis by country
4.3. Services
4.3.1 Key market trends, growth factors and opportunities
4.3.2 Market size and forecast, by region
4.3.3 Market share analysis by country

CHAPTER 5: SYNTHETIC DATA GENERATION MARKET, BY DEPLOYMENT MODE
5.1 Overview
5.1.1 Market size and forecast
5.2. On-Premise
5.2.1 Key market trends, growth factors and opportunities
5.2.2 Market size and forecast, by region
5.2.3 Market share analysis by country
5.3. Cloud
5.3.1 Key market trends, growth factors and opportunities
5.3.2 Market size and forecast, by region
5.3.3 Market share analysis by country

CHAPTER 6: SYNTHETIC DATA GENERATION MARKET, BY DATA TYPE
6.1 Overview
6.1.1 Market size and forecast
6.2. Tabular Data
6.2.1 Key market trends, growth factors and opportunities
6.2.2 Market size and forecast, by region
6.2.3 Market share analysis by country
6.3. Text Data
6.3.1 Key market trends, growth factors and opportunities
6.3.2 Market size and forecast, by region
6.3.3 Market share analysis by country
6.4. Image and Video Data
6.4.1 Key market trends, growth factors and opportunities
6.4.2 Market size and forecast, by region
6.4.3 Market share analysis by country
6.5. Others
6.5.1 Key market trends, growth factors and opportunities
6.5.2 Market size and forecast, by region
6.5.3 Market share analysis by country

CHAPTER 7: SYNTHETIC DATA GENERATION MARKET, BY APPLICATION
7.1 Overview
7.1.1 Market size and forecast
7.2. AI Training and Development
7.2.1 Key market trends, growth factors and opportunities
7.2.2 Market size and forecast, by region
7.2.3 Market share analysis by country
7.3. Test Data Management
7.3.1 Key market trends, growth factors and opportunities
7.3.2 Market size and forecast, by region
7.3.3 Market share analysis by country
7.4. Data Sharing and Retention
7.4.1 Key market trends, growth factors and opportunities
7.4.2 Market size and forecast, by region
7.4.3 Market share analysis by country
7.5. Data Analytics
7.5.1 Key market trends, growth factors and opportunities
7.5.2 Market size and forecast, by region
7.5.3 Market share analysis by country
7.6. Others
7.6.1 Key market trends, growth factors and opportunities
7.6.2 Market size and forecast, by region
7.6.3 Market share analysis by country

CHAPTER 8: SYNTHETIC DATA GENERATION MARKET, BY INDUSTRY VERTICAL
8.1 Overview
8.1.1 Market size and forecast
8.2. BFSI
8.2.1 Key market trends, growth factors and opportunities
8.2.2 Market size and forecast, by region
8.2.3 Market share analysis by country
8.3. Healthcare and Life Sciences
8.3.1 Key market trends, growth factors and opportunities
8.3.2 Market size and forecast, by region
8.3.3 Market share analysis by country
8.4. Transportation and Logistics
8.4.1 Key market trends, growth factors and opportunities
8.4.2 Market size and forecast, by region
8.4.3 Market share analysis by country
8.5. Government and Defense
8.5.1 Key market trends, growth factors and opportunities
8.5.2 Market size and forecast, by region
8.5.3 Market share analysis by country
8.6. IT and Telecommunication
8.6.1 Key market trends, growth factors and opportunities
8.6.2 Market size and forecast, by region
8.6.3 Market share analysis by country
8.7. Manufacturing
8.7.1 Key market trends, growth factors and opportunities
8.7.2 Market size and forecast, by region
8.7.3 Market share analysis by country
8.8. Media and Entertainment
8.8.1 Key market trends, growth factors and opportunities
8.8.2 Market size and forecast, by region
8.8.3 Market share analysis by country
8.9. Others
8.9.1 Key market trends, growth factors and opportunities
8.9.2 Market size and forecast, by region
8.9.3 Market share analysis by country

CHAPTER 9: SYNTHETIC DATA GENERATION MARKET, BY REGION
9.1 Overview
9.1.1 Market size and forecast
9.2 North America
9.2.1 Key trends and opportunities
9.2.2 North America Market size and forecast, by Component
9.2.3 North America Market size and forecast, by Deployment Mode
9.2.4 North America Market size and forecast, by Data Type
9.2.5 North America Market size and forecast, by Application
9.2.6 North America Market size and forecast, by Industry Vertical
9.2.7 North America Market size and forecast, by country
9.2.7.1 U.S.
9.2.7.1.1 Key market trends, growth factors and opportunities
9.2.7.1.2 Market size and forecast, by Component
9.2.7.1.3 Market size and forecast, by Deployment Mode
9.2.7.1.4 Market size and forecast, by Data Type
9.2.7.1.5 Market size and forecast, by Application
9.2.7.1.6 Market size and forecast, by Industry Vertical
9.2.7.2 Canada
9.2.7.2.1 Key market trends, growth factors and opportunities
9.2.7.2.2 Market size and forecast, by Component
9.2.7.2.3 Market size and forecast, by Deployment Mode
9.2.7.2.4 Market size and forecast, by Data Type
9.2.7.2.5 Market size and forecast, by Application
9.2.7.2.6 Market size and forecast, by Industry Vertical
9.3 Europe
9.3.1 Key trends and opportunities
9.3.2 Europe Market size and forecast, by Component
9.3.3 Europe Market size and forecast, by Deployment Mode
9.3.4 Europe Market size and forecast, by Data Type
9.3.5 Europe Market size and forecast, by Application
9.3.6 Europe Market size and forecast, by Industry Vertical
9.3.7 Europe Market size and forecast, by country
9.3.7.1 UK
9.3.7.1.1 Key market trends, growth factors and opportunities
9.3.7.1.2 Market size and forecast, by Component
9.3.7.1.3 Market size and forecast, by Deployment Mode
9.3.7.1.4 Market size and forecast, by Data Type
9.3.7.1.5 Market size and forecast, by Application
9.3.7.1.6 Market size and forecast, by Industry Vertical
9.3.7.2 Germany
9.3.7.2.1 Key market trends, growth factors and opportunities
9.3.7.2.2 Market size and forecast, by Component
9.3.7.2.3 Market size and forecast, by Deployment Mode
9.3.7.2.4 Market size and forecast, by Data Type
9.3.7.2.5 Market size and forecast, by Application
9.3.7.2.6 Market size and forecast, by Industry Vertical
9.3.7.3 France
9.3.7.3.1 Key market trends, growth factors and opportunities
9.3.7.3.2 Market size and forecast, by Component
9.3.7.3.3 Market size and forecast, by Deployment Mode
9.3.7.3.4 Market size and forecast, by Data Type
9.3.7.3.5 Market size and forecast, by Application
9.3.7.3.6 Market size and forecast, by Industry Vertical
9.3.7.4 Italy
9.3.7.4.1 Key market trends, growth factors and opportunities
9.3.7.4.2 Market size and forecast, by Component
9.3.7.4.3 Market size and forecast, by Deployment Mode
9.3.7.4.4 Market size and forecast, by Data Type
9.3.7.4.5 Market size and forecast, by Application
9.3.7.4.6 Market size and forecast, by Industry Vertical
9.3.7.5 Spain
9.3.7.5.1 Key market trends, growth factors and opportunities
9.3.7.5.2 Market size and forecast, by Component
9.3.7.5.3 Market size and forecast, by Deployment Mode
9.3.7.5.4 Market size and forecast, by Data Type
9.3.7.5.5 Market size and forecast, by Application
9.3.7.5.6 Market size and forecast, by Industry Vertical
9.3.7.6 Rest of Europe
9.3.7.6.1 Key market trends, growth factors and opportunities
9.3.7.6.2 Market size and forecast, by Component
9.3.7.6.3 Market size and forecast, by Deployment Mode
9.3.7.6.4 Market size and forecast, by Data Type
9.3.7.6.5 Market size and forecast, by Application
9.3.7.6.6 Market size and forecast, by Industry Vertical
9.4 Asia-Pacific
9.4.1 Key trends and opportunities
9.4.2 Asia-Pacific Market size and forecast, by Component
9.4.3 Asia-Pacific Market size and forecast, by Deployment Mode
9.4.4 Asia-Pacific Market size and forecast, by Data Type
9.4.5 Asia-Pacific Market size and forecast, by Application
9.4.6 Asia-Pacific Market size and forecast, by Industry Vertical
9.4.7 Asia-Pacific Market size and forecast, by country
9.4.7.1 China
9.4.7.1.1 Key market trends, growth factors and opportunities
9.4.7.1.2 Market size and forecast, by Component
9.4.7.1.3 Market size and forecast, by Deployment Mode
9.4.7.1.4 Market size and forecast, by Data Type
9.4.7.1.5 Market size and forecast, by Application
9.4.7.1.6 Market size and forecast, by Industry Vertical
9.4.7.2 Japan
9.4.7.2.1 Key market trends, growth factors and opportunities
9.4.7.2.2 Market size and forecast, by Component
9.4.7.2.3 Market size and forecast, by Deployment Mode
9.4.7.2.4 Market size and forecast, by Data Type
9.4.7.2.5 Market size and forecast, by Application
9.4.7.2.6 Market size and forecast, by Industry Vertical
9.4.7.3 India
9.4.7.3.1 Key market trends, growth factors and opportunities
9.4.7.3.2 Market size and forecast, by Component
9.4.7.3.3 Market size and forecast, by Deployment Mode
9.4.7.3.4 Market size and forecast, by Data Type
9.4.7.3.5 Market size and forecast, by Application
9.4.7.3.6 Market size and forecast, by Industry Vertical
9.4.7.4 Australia
9.4.7.4.1 Key market trends, growth factors and opportunities
9.4.7.4.2 Market size and forecast, by Component
9.4.7.4.3 Market size and forecast, by Deployment Mode
9.4.7.4.4 Market size and forecast, by Data Type
9.4.7.4.5 Market size and forecast, by Application
9.4.7.4.6 Market size and forecast, by Industry Vertical
9.4.7.5 South Korea
9.4.7.5.1 Key market trends, growth factors and opportunities
9.4.7.5.2 Market size and forecast, by Component
9.4.7.5.3 Market size and forecast, by Deployment Mode
9.4.7.5.4 Market size and forecast, by Data Type
9.4.7.5.5 Market size and forecast, by Application
9.4.7.5.6 Market size and forecast, by Industry Vertical
9.4.7.6 Rest of Asia-Pacific
9.4.7.6.1 Key market trends, growth factors and opportunities
9.4.7.6.2 Market size and forecast, by Component
9.4.7.6.3 Market size and forecast, by Deployment Mode
9.4.7.6.4 Market size and forecast, by Data Type
9.4.7.6.5 Market size and forecast, by Application
9.4.7.6.6 Market size and forecast, by Industry Vertical
9.5 LAMEA
9.5.1 Key trends and opportunities
9.5.2 LAMEA Market size and forecast, by Component
9.5.3 LAMEA Market size and forecast, by Deployment Mode
9.5.4 LAMEA Market size and forecast, by Data Type
9.5.5 LAMEA Market size and forecast, by Application
9.5.6 LAMEA Market size and forecast, by Industry Vertical
9.5.7 LAMEA Market size and forecast, by country
9.5.7.1 Latin America
9.5.7.1.1 Key market trends, growth factors and opportunities
9.5.7.1.2 Market size and forecast, by Component
9.5.7.1.3 Market size and forecast, by Deployment Mode
9.5.7.1.4 Market size and forecast, by Data Type
9.5.7.1.5 Market size and forecast, by Application
9.5.7.1.6 Market size and forecast, by Industry Vertical
9.5.7.2 Middle East
9.5.7.2.1 Key market trends, growth factors and opportunities
9.5.7.2.2 Market size and forecast, by Component
9.5.7.2.3 Market size and forecast, by Deployment Mode
9.5.7.2.4 Market size and forecast, by Data Type
9.5.7.2.5 Market size and forecast, by Application
9.5.7.2.6 Market size and forecast, by Industry Vertical
9.5.7.3 Africa
9.5.7.3.1 Key market trends, growth factors and opportunities
9.5.7.3.2 Market size and forecast, by Component
9.5.7.3.3 Market size and forecast, by Deployment Mode
9.5.7.3.4 Market size and forecast, by Data Type
9.5.7.3.5 Market size and forecast, by Application
9.5.7.3.6 Market size and forecast, by Industry Vertical

CHAPTER 10: COMPETITIVE LANDSCAPE
10.1. Introduction
10.2. Top winning strategies
10.3. Product Mapping of Top 10 Player
10.4. Competitive Dashboard
10.5. Competitive Heatmap
10.6. Top player positioning, 2021

CHAPTER 11: COMPANY PROFILES
11.1 Gretel Labs
11.1.1 Company overview
11.1.2 Key Executives
11.1.3 Company snapshot
11.1.4 Operating business segments
11.1.5 Product portfolio
11.1.6 Business performance
11.1.7 Key strategic moves and developments
11.2 Microsoft Corporation
11.2.1 Company overview
11.2.2 Key Executives
11.2.3 Company snapshot
11.2.4 Operating business segments
11.2.5 Product portfolio
11.2.6 Business performance
11.2.7 Key strategic moves and developments
11.3 Meta
11.3.1 Company overview
11.3.2 Key Executives
11.3.3 Company snapshot
11.3.4 Operating business segments
11.3.5 Product portfolio
11.3.6 Business performance
11.3.7 Key strategic moves and developments
11.4 IBM Corporation
11.4.1 Company overview
11.4.2 Key Executives
11.4.3 Company snapshot
11.4.4 Operating business segments
11.4.5 Product portfolio
11.4.6 Business performance
11.4.7 Key strategic moves and developments
11.5 NVIDIA Corporation
11.5.1 Company overview
11.5.2 Key Executives
11.5.3 Company snapshot
11.5.4 Operating business segments
11.5.5 Product portfolio
11.5.6 Business performance
11.5.7 Key strategic moves and developments
11.6 Synthesis AI
11.6.1 Company overview
11.6.2 Key Executives
11.6.3 Company snapshot
11.6.4 Operating business segments
11.6.5 Product portfolio
11.6.6 Business performance
11.6.7 Key strategic moves and developments
11.7 CVEDIA Inc.
11.7.1 Company overview
11.7.2 Key Executives
11.7.3 Company snapshot
11.7.4 Operating business segments
11.7.5 Product portfolio
11.7.6 Business performance
11.7.7 Key strategic moves and developments
11.8 Datagen
11.8.1 Company overview
11.8.2 Key Executives
11.8.3 Company snapshot
11.8.4 Operating business segments
11.8.5 Product portfolio
11.8.6 Business performance
11.8.7 Key strategic moves and developments
11.9 Mostly AI
11.9.1 Company overview
11.9.2 Key Executives
11.9.3 Company snapshot
11.9.4 Operating business segments
11.9.5 Product portfolio
11.9.6 Business performance
11.9.7 Key strategic moves and developments
11.10 Amazon.com, Inc.
11.10.1 Company overview
11.10.2 Key Executives
11.10.3 Company snapshot
11.10.4 Operating business segments
11.10.5 Product portfolio
11.10.6 Business performance
11.10.7 Key strategic moves and developments

List of Tables
Table 1. Global Synthetic Data Generation Market, by Component, 2021-2031 (Revenue, $Million)
Table 2. Synthetic Data Generation Market for Solution, by Region, 2021-2031 (Revenue, $Million)
Table 3. Synthetic Data Generation Market for Services, by Region, 2021-2031 (Revenue, $Million)
Table 4. Global Synthetic Data Generation Market, by Deployment Mode, 2021-2031 (Revenue, $Million)
Table 5. Synthetic Data Generation Market for On-Premise, by Region, 2021-2031 (Revenue, $Million)
Table 6. Synthetic Data Generation Market for Cloud, by Region, 2021-2031 (Revenue, $Million)
Table 7. Global Synthetic Data Generation Market, by Data Type, 2021-2031 (Revenue, $Million)
Table 8. Synthetic Data Generation Market for Tabular Data, by Region, 2021-2031 (Revenue, $Million)
Table 9. Synthetic Data Generation Market for Text Data, by Region, 2021-2031 (Revenue, $Million)
Table 10. Synthetic Data Generation Market for Image and Video Data, by Region, 2021-2031 (Revenue, $Million)
Table 11. Synthetic Data Generation Market for Others, by Region, 2021-2031 (Revenue, $Million)
Table 12. Global Synthetic Data Generation Market, by Application, 2021-2031 (Revenue, $Million)
Table 13. Synthetic Data Generation Market for Ai Training and Development, by Region, 2021-2031 (Revenue, $Million)
Table 14. Synthetic Data Generation Market for Test Data Management, by Region, 2021-2031 (Revenue, $Million)
Table 15. Synthetic Data Generation Market for Data Sharing and Retention, by Region, 2021-2031 (Revenue, $Million)
Table 16. Synthetic Data Generation Market for Data Analytics, by Region, 2021-2031 (Revenue, $Million)
Table 17. Synthetic Data Generation Market for Others, by Region, 2021-2031 (Revenue, $Million)
Table 18. Global Synthetic Data Generation Market, by Industry Vertical, 2021-2031 (Revenue, $Million)
Table 19. Synthetic Data Generation Market for Bfsi, by Region, 2021-2031 (Revenue, $Million)
Table 20. Synthetic Data Generation Market for Healthcare and Life Sciences, by Region, 2021-2031 (Revenue, $Million)
Table 21. Synthetic Data Generation Market for Transportation and Logistics, by Region, 2021-2031 (Revenue, $Million)
Table 22. Synthetic Data Generation Market for Government and Defense, by Region, 2021-2031 (Revenue, $Million)
Table 23. Synthetic Data Generation Market for It and Telecommunication, by Region, 2021-2031 (Revenue, $Million)
Table 24. Synthetic Data Generation Market for Manufacturing, by Region, 2021-2031 (Revenue, $Million)
Table 25. Synthetic Data Generation Market for Media and Entertainment, by Region, 2021-2031 (Revenue, $Million)
Table 26. Synthetic Data Generation Market for Others, by Region, 2021-2031 (Revenue, $Million)
Table 27. Synthetic Data Generation Market, by Region, 2021-2031 (Revenue, $Million)
Table 28. North America Synthetic Data Generation Market, by Component, 2021-2031 (Revenue, $Million)
Table 29. North America Synthetic Data Generation Market, by Deployment Mode, 2021-2031 (Revenue, $Million)
Table 30. North America Synthetic Data Generation Market, by Data Type, 2021-2031 (Revenue, $Million)
Table 31. North America Synthetic Data Generation Market, by Application, 2021-2031 (Revenue, $Million)
Table 32. North America Synthetic Data Generation Market, by Industry Vertical, 2021-2031 (Revenue, $Million)
Table 33. North America Synthetic Data Generation Market, by Country, 2021-2031 (Revenue, $Million)
Table 34. U.S. Synthetic Data Generation Market, by Component, 2021-2031 (Revenue, $Million)
Table 35. U.S. Synthetic Data Generation Market, by Deployment Mode, 2021-2031 (Revenue, $Million)
Table 36. U.S. Synthetic Data Generation Market, by Data Type, 2021-2031 (Revenue, $Million)
Table 37. U.S. Synthetic Data Generation Market, by Application, 2021-2031 (Revenue, $Million)
Table 38. U.S. Synthetic Data Generation Market, by Industry Vertical, 2021-2031 (Revenue, $Million)
Table 39. Canada Synthetic Data Generation Market, by Component, 2021-2031 (Revenue, $Million)
Table 40. Canada Synthetic Data Generation Market, by Deployment Mode, 2021-2031 (Revenue, $Million)
Table 41. Canada Synthetic Data Generation Market, by Data Type, 2021-2031 (Revenue, $Million)
Table 42. Canada Synthetic Data Generation Market, by Application, 2021-2031 (Revenue, $Million)
Table 43. Canada Synthetic Data Generation Market, by Industry Vertical, 2021-2031 (Revenue, $Million)
Table 44. Europe Synthetic Data Generation Market, by Component, 2021-2031 (Revenue, $Million)
Table 45. Europe Synthetic Data Generation Market, by Deployment Mode, 2021-2031 (Revenue, $Million)
Table 46. Europe Synthetic Data Generation Market, by Data Type, 2021-2031 (Revenue, $Million)
Table 47. Europe Synthetic Data Generation Market, by Application, 2021-2031 (Revenue, $Million)
Table 48. Europe Synthetic Data Generation Market, by Industry Vertical, 2021-2031 (Revenue, $Million)
Table 49. Europe Synthetic Data Generation Market, by Country, 2021-2031 (Revenue, $Million)
Table 50. UK Synthetic Data Generation Market, by Component, 2021-2031 (Revenue, $Million)
Table 51. UK Synthetic Data Generation Market, by Deployment Mode, 2021-2031 (Revenue, $Million)
Table 52. UK Synthetic Data Generation Market, by Data Type, 2021-2031 (Revenue, $Million)
Table 53. UK Synthetic Data Generation Market, by Application, 2021-2031 (Revenue, $Million)
Table 54. UK Synthetic Data Generation Market, by Industry Vertical, 2021-2031 (Revenue, $Million)
Table 55. Germany Synthetic Data Generation Market, by Component, 2021-2031 (Revenue, $Million)
Table 56. Germany Synthetic Data Generation Market, by Deployment Mode, 2021-2031 (Revenue, $Million)
Table 57. Germany Synthetic Data Generation Market, by Data Type, 2021-2031 (Revenue, $Million)
Table 58. Germany Synthetic Data Generation Market, by Application, 2021-2031 (Revenue, $Million)
Table 59. Germany Synthetic Data Generation Market, by Industry Vertical, 2021-2031 (Revenue, $Million)
Table 60. France Synthetic Data Generation Market, by Component, 2021-2031 (Revenue, $Million)
Table 61. France Synthetic Data Generation Market, by Deployment Mode, 2021-2031 (Revenue, $Million)
Table 62. France Synthetic Data Generation Market, by Data Type, 2021-2031 (Revenue, $Million)
Table 63. France Synthetic Data Generation Market, by Application, 2021-2031 (Revenue, $Million)
Table 64. France Synthetic Data Generation Market, by Industry Vertical, 2021-2031 (Revenue, $Million)
Table 65. Italy Synthetic Data Generation Market, by Component, 2021-2031 (Revenue, $Million)
Table 66. Italy Synthetic Data Generation Market, by Deployment Mode, 2021-2031 (Revenue, $Million)
Table 67. Italy Synthetic Data Generation Market, by Data Type, 2021-2031 (Revenue, $Million)
Table 68. Italy Synthetic Data Generation Market, by Application, 2021-2031 (Revenue, $Million)
Table 69. Italy Synthetic Data Generation Market, by Industry Vertical, 2021-2031 (Revenue, $Million)
Table 70. Spain Synthetic Data Generation Market, by Component, 2021-2031 (Revenue, $Million)
Table 71. Spain Synthetic Data Generation Market, by Deployment Mode, 2021-2031 (Revenue, $Million)
Table 72. Spain Synthetic Data Generation Market, by Data Type, 2021-2031 (Revenue, $Million)
Table 73. Spain Synthetic Data Generation Market, by Application, 2021-2031 (Revenue, $Million)
Table 74. Spain Synthetic Data Generation Market, by Industry Vertical, 2021-2031 (Revenue, $Million)
Table 75. Rest of Europe Synthetic Data Generation Market, by Component, 2021-2031 (Revenue, $Million)
Table 76. Rest of Europe Synthetic Data Generation Market, by Deployment Mode, 2021-2031 (Revenue, $Million)
Table 77. Rest of Europe Synthetic Data Generation Market, by Data Type, 2021-2031 (Revenue, $Million)
Table 78. Rest of Europe Synthetic Data Generation Market, by Application, 2021-2031 (Revenue, $Million)
Table 79. Rest of Europe Synthetic Data Generation Market, by Industry Vertical, 2021-2031 (Revenue, $Million)
Table 80. Asia-Pacific Synthetic Data Generation Market, by Component, 2021-2031 (Revenue, $Million)
Table 81. Asia-Pacific Synthetic Data Generation Market, by Deployment Mode, 2021-2031 (Revenue, $Million)
Table 82. Asia-Pacific Synthetic Data Generation Market, by Data Type, 2021-2031 (Revenue, $Million)
Table 83. Asia-Pacific Synthetic Data Generation Market, by Application, 2021-2031 (Revenue, $Million)
Table 84. Asia-Pacific Synthetic Data Generation Market, by Industry Vertical, 2021-2031 (Revenue, $Million)
Table 85. Asia-Pacific Synthetic Data Generation Market, by Country, 2021-2031 (Revenue, $Million)
Table 86. China Synthetic Data Generation Market, by Component, 2021-2031 (Revenue, $Million)
Table 87. China Synthetic Data Generation Market, by Deployment Mode, 2021-2031 (Revenue, $Million)
Table 88. China Synthetic Data Generation Market, by Data Type, 2021-2031 (Revenue, $Million)
Table 89. China Synthetic Data Generation Market, by Application, 2021-2031 (Revenue, $Million)
Table 90. China Synthetic Data Generation Market, by Industry Vertical, 2021-2031 (Revenue, $Million)
Table 91. Japan Synthetic Data Generation Market, by Component, 2021-2031 (Revenue, $Million)
Table 92. Japan Synthetic Data Generation Market, by Deployment Mode, 2021-2031 (Revenue, $Million)
Table 93. Japan Synthetic Data Generation Market, by Data Type, 2021-2031 (Revenue, $Million)
Table 94. Japan Synthetic Data Generation Market, by Application, 2021-2031 (Revenue, $Million)
Table 95. Japan Synthetic Data Generation Market, by Industry Vertical, 2021-2031 (Revenue, $Million)
Table 96. India Synthetic Data Generation Market, by Component, 2021-2031 (Revenue, $Million)
Table 97. India Synthetic Data Generation Market, by Deployment Mode, 2021-2031 (Revenue, $Million)
Table 98. India Synthetic Data Generation Market, by Data Type, 2021-2031 (Revenue, $Million)
Table 99. India Synthetic Data Generation Market, by Application, 2021-2031 (Revenue, $Million)
Table 100. India Synthetic Data Generation Market, by Industry Vertical, 2021-2031 (Revenue, $Million)
Table 101. Australia Synthetic Data Generation Market, by Component, 2021-2031 (Revenue, $Million)
Table 102. Australia Synthetic Data Generation Market, by Deployment Mode, 2021-2031 (Revenue, $Million)
Table 103. Australia Synthetic Data Generation Market, by Data Type, 2021-2031 (Revenue, $Million)
Table 104. Australia Synthetic Data Generation Market, by Application, 2021-2031 (Revenue, $Million)
Table 105. Australia Synthetic Data Generation Market, by Industry Vertical, 2021-2031 (Revenue, $Million)
Table 106. South Korea Synthetic Data Generation Market, by Component, 2021-2031 (Revenue, $Million)
Table 107. South Korea Synthetic Data Generation Market, by Deployment Mode, 2021-2031 (Revenue, $Million)
Table 108. South Korea Synthetic Data Generation Market, by Data Type, 2021-2031 (Revenue, $Million)
Table 109. South Korea Synthetic Data Generation Market, by Application, 2021-2031 (Revenue, $Million)
Table 110. South Korea Synthetic Data Generation Market, by Industry Vertical, 2021-2031 (Revenue, $Million)
Table 111. Rest of Asia-Pacific Synthetic Data Generation Market, by Component, 2021-2031 (Revenue, $Million)
Table 112. Rest of Asia-Pacific Synthetic Data Generation Market, by Deployment Mode, 2021-2031 (Revenue, $Million)
Table 113. Rest of Asia-Pacific Synthetic Data Generation Market, by Data Type, 2021-2031 (Revenue, $Million)
Table 114. Rest of Asia-Pacific Synthetic Data Generation Market, by Application, 2021-2031 (Revenue, $Million)
Table 115. Rest of Asia-Pacific Synthetic Data Generation Market, by Industry Vertical, 2021-2031 (Revenue, $Million)
Table 116. LAMEA Synthetic Data Generation Market, by Component, 2021-2031 (Revenue, $Million)
Table 117. LAMEA Synthetic Data Generation Market, by Deployment Mode, 2021-2031 (Revenue, $Million)
Table 118. LAMEA Synthetic Data Generation Market, by Data Type, 2021-2031 (Revenue, $Million)
Table 119. LAMEA Synthetic Data Generation Market, by Application, 2021-2031 (Revenue, $Million)
Table 120. LAMEA Synthetic Data Generation Market, by Industry Vertical, 2021-2031 (Revenue, $Million)
Table 121. LAMEA Synthetic Data Generation Market, by Country, 2021-2031 (Revenue, $Million)
Table 122. Latin America Synthetic Data Generation Market, by Component, 2021-2031 (Revenue, $Million)
Table 123. Latin America Synthetic Data Generation Market, by Deployment Mode, 2021-2031 (Revenue, $Million)
Table 124. Latin America Synthetic Data Generation Market, by Data Type, 2021-2031 (Revenue, $Million)
Table 125. Latin America Synthetic Data Generation Market, by Application, 2021-2031 (Revenue, $Million)
Table 126. Latin America Synthetic Data Generation Market, by Industry Vertical, 2021-2031 (Revenue, $Million)
Table 127. Middle East Synthetic Data Generation Market, by Component, 2021-2031 (Revenue, $Million)
Table 128. Middle East Synthetic Data Generation Market, by Deployment Mode, 2021-2031 (Revenue, $Million)
Table 129. Middle East Synthetic Data Generation Market, by Data Type, 2021-2031 (Revenue, $Million)
Table 130. Middle East Synthetic Data Generation Market, by Application, 2021-2031 (Revenue, $Million)
Table 131. Middle East Synthetic Data Generation Market, by Industry Vertical, 2021-2031 (Revenue, $Million)
Table 132. Africa Synthetic Data Generation Market, by Component, 2021-2031 (Revenue, $Million)
Table 133. Africa Synthetic Data Generation Market, by Deployment Mode, 2021-2031 (Revenue, $Million)
Table 134. Africa Synthetic Data Generation Market, by Data Type, 2021-2031 (Revenue, $Million)
Table 135. Africa Synthetic Data Generation Market, by Application, 2021-2031 (Revenue, $Million)
Table 136. Africa Synthetic Data Generation Market, by Industry Vertical, 2021-2031 (Revenue, $Million)
Table 137. Gretel Labs: Key Executives
Table 138. Gretel Labs: Company Snapshot
Table 139. Gretel Labs: Operating Segments
Table 140. Gretel Labs: Product Portfolio
Table 141. Gretel Labs: Net Sales
Table 142. Gretel Labs: Key Stratergies
Table 143. Microsoft Corporation: Key Executives
Table 144. Microsoft Corporation: Company Snapshot
Table 145. Microsoft Corporation: Operating Segments
Table 146. Microsoft Corporation: Product Portfolio
Table 147. Microsoft Corporation: Net Sales
Table 148. Microsoft Corporation: Key Stratergies
Table 149. Meta: Key Executives
Table 150. Meta: Company Snapshot
Table 151. Meta: Operating Segments
Table 152. Meta: Product Portfolio
Table 153. Meta: Net Sales
Table 154. Meta: Key Stratergies
Table 155. IBM Corporation: Key Executives
Table 156. IBM Corporation: Company Snapshot
Table 157. IBM Corporation: Operating Segments
Table 158. IBM Corporation: Product Portfolio
Table 159. IBM Corporation: Net Sales
Table 160. IBM Corporation: Key Stratergies
Table 161. Nvidia Corporation: Key Executives
Table 162. Nvidia Corporation: Company Snapshot
Table 163. Nvidia Corporation: Operating Segments
Table 164. Nvidia Corporation: Product Portfolio
Table 165. Nvidia Corporation: Net Sales
Table 166. Nvidia Corporation: Key Stratergies
Table 167. Synthesis Ai: Key Executives
Table 168. Synthesis Ai: Company Snapshot
Table 169. Synthesis Ai: Operating Segments
Table 170. Synthesis Ai: Product Portfolio
Table 171. Synthesis Ai: Net Sales
Table 172. Synthesis Ai: Key Stratergies
Table 173. Cvedia Inc.: Key Executives
Table 174. Cvedia Inc.: Company Snapshot
Table 175. Cvedia Inc.: Operating Segments
Table 176. Cvedia Inc.: Product Portfolio
Table 177. Cvedia Inc.: Net Sales
Table 178. Cvedia Inc.: Key Stratergies
Table 179. Datagen: Key Executives
Table 180. Datagen: Company Snapshot
Table 181. Datagen: Operating Segments
Table 182. Datagen: Product Portfolio
Table 183. Datagen: Net Sales
Table 184. Datagen: Key Stratergies
Table 185. Mostly Ai: Key Executives
Table 186. Mostly Ai: Company Snapshot
Table 187. Mostly Ai: Operating Segments
Table 188. Mostly Ai: Product Portfolio
Table 189. Mostly Ai: Net Sales
Table 190. Mostly Ai: Key Stratergies
Table 191. Amazon.Com, Inc.: Key Executives
Table 192. Amazon.Com, Inc.: Company Snapshot
Table 193. Amazon.Com, Inc.: Operating Segments
Table 194. Amazon.Com, Inc.: Product Portfolio
Table 195. Amazon.Com, Inc.: Net Sales
Table 196. Amazon.Com, Inc.: Key Stratergies

List of Figures
Figure 1. Segmentation of Synthetic Data Generation Market, 2021-2031
Figure 2. Synthetic Data Generation Market, 2021-2031
Figure 3. Top Investment Pockets, by Region
Figure 4. Porter Five-1
Figure 5. Porter Five-2
Figure 6. Porter Five-3
Figure 7. Porter Five-4
Figure 8. Porter Five-5
Figure 9. Synthetic Data Generation Market: Drivers, Restraints and Opportunities
Figure 10. Synthetic Data Generation Market, by Component, 2021 (%)
Figure 11. Comparative Share Analysis of Solution Synthetic Data Generation Market, 2021 and 2031 (%)
Figure 12. Comparative Share Analysis of Services Synthetic Data Generation Market, 2021 and 2031 (%)
Figure 13. Synthetic Data Generation Market, by Deployment Mode, 2021 (%)
Figure 14. Comparative Share Analysis of On-Premise Synthetic Data Generation Market, 2021 and 2031 (%)
Figure 15. Comparative Share Analysis of Cloud Synthetic Data Generation Market, 2021 and 2031 (%)
Figure 16. Synthetic Data Generation Market, by Data Type, 2021 (%)
Figure 17. Comparative Share Analysis of Tabular Data Synthetic Data Generation Market, 2021 and 2031 (%)
Figure 18. Comparative Share Analysis of Text Data Synthetic Data Generation Market, 2021 and 2031 (%)
Figure 19. Comparative Share Analysis of Image and Video Data Synthetic Data Generation Market, 2021 and 2031 (%)
Figure 20. Comparative Share Analysis of Others Synthetic Data Generation Market, 2021 and 2031 (%)
Figure 21. Synthetic Data Generation Market, by Application, 2021 (%)
Figure 22. Comparative Share Analysis of Ai Training and Development Synthetic Data Generation Market, 2021 and 2031 (%)
Figure 23. Comparative Share Analysis of Test Data Management Synthetic Data Generation Market, 2021 and 2031 (%)
Figure 24. Comparative Share Analysis of Data Sharing and Retention Synthetic Data Generation Market, 2021 and 2031 (%)
Figure 25. Comparative Share Analysis of Data Analytics Synthetic Data Generation Market, 2021 and 2031 (%)
Figure 26. Comparative Share Analysis of Others Synthetic Data Generation Market, 2021 and 2031 (%)
Figure 27. Synthetic Data Generation Market, by Industry Vertical, 2021 (%)
Figure 28. Comparative Share Analysis of Bfsi Synthetic Data Generation Market, 2021 and 2031 (%)
Figure 29. Comparative Share Analysis of Healthcare and Life Sciences Synthetic Data Generation Market, 2021 and 2031 (%)
Figure 30. Comparative Share Analysis of Transportation and Logistics Synthetic Data Generation Market, 2021 and 2031 (%)
Figure 31. Comparative Share Analysis of Government and Defense Synthetic Data Generation Market, 2021 and 2031 (%)
Figure 32. Comparative Share Analysis of It and Telecommunication Synthetic Data Generation Market, 2021 and 2031 (%)
Figure 33. Comparative Share Analysis of Manufacturing Synthetic Data Generation Market, 2021 and 2031 (%)
Figure 34. Comparative Share Analysis of Media and Entertainment Synthetic Data Generation Market, 2021 and 2031 (%)
Figure 35. Comparative Share Analysis of Others Synthetic Data Generation Market, 2021 and 2031 (%)
Figure 36. Synthetic Data Generation Market by Region, 2021
Figure 37. U.S. Synthetic Data Generation Market, 2021-2031 ($Million)
Figure 38. Canada Synthetic Data Generation Market, 2021-2031 ($Million)
Figure 39. UK Synthetic Data Generation Market, 2021-2031 ($Million)
Figure 40. Germany Synthetic Data Generation Market, 2021-2031 ($Million)
Figure 41. France Synthetic Data Generation Market, 2021-2031 ($Million)
Figure 42. Italy Synthetic Data Generation Market, 2021-2031 ($Million)
Figure 43. Spain Synthetic Data Generation Market, 2021-2031 ($Million)
Figure 44. Rest of Europe Synthetic Data Generation Market, 2021-2031 ($Million)
Figure 45. China Synthetic Data Generation Market, 2021-2031 ($Million)
Figure 46. Japan Synthetic Data Generation Market, 2021-2031 ($Million)
Figure 47. India Synthetic Data Generation Market, 2021-2031 ($Million)
Figure 48. Australia Synthetic Data Generation Market, 2021-2031 ($Million)
Figure 49. South Korea Synthetic Data Generation Market, 2021-2031 ($Million)
Figure 50. Rest of Asia-Pacific Synthetic Data Generation Market, 2021-2031 ($Million)
Figure 51. Latin America Synthetic Data Generation Market, 2021-2031 ($Million)
Figure 52. Middle East Synthetic Data Generation Market, 2021-2031 ($Million)
Figure 53. Africa Synthetic Data Generation Market, 2021-2031 ($Million)
Figure 54. Top Winning Strategies, by Year
Figure 55. Top Winning Strategies, by Development
Figure 56. Top Winning Strategies, by Company
Figure 57. Product Mapping of Top 10 Players
Figure 58. Competitive Dashboard
Figure 59. Competitive Heatmap of Top 10 Key Players
Figure 60. Top Player Positioning, 2021
Figure 61. Gretel Labs.: Net Sales ($Million)
Figure 62. Microsoft Corporation.: Net Sales ($Million)
Figure 63. Meta.: Net Sales ($Million)
Figure 64. IBM Corporation.: Net Sales ($Million)
Figure 65. Nvidia Corporation.: Net Sales ($Million)
Figure 66. Synthesis Ai.: Net Sales ($Million)
Figure 67. Cvedia Inc..: Net Sales ($Million)
Figure 68. Datagen.: Net Sales ($Million)
Figure 69. Mostly Ai.: Net Sales ($Million)
Figure 70. Amazon.Com, Inc..: Net Sales ($Million)

Executive Summary

According to the report titled, “Synthetic Data Generation Market," The synthetic data generation market was valued at $168.93 million in 2021, and is estimated to reach $3.5 billion by 2031, growing at a CAGR of 35.8% from 2022 to 2031.

The Synthetic Data Generation Market is likely to experience a significant growth rate of 35.8% from 2022-2031 owing to increasing market demand from IT and Telecommunication sector.

Synthetic data can be an asset to businesses for privacy concerns, faster turnaround for product testing, and training machine learning algorithms. Most data privacy laws restrict businesses in the way they handle sensitive data. Any leakage and sharing of personally identifiable customer information can lead to expensive lawsuits that also affect the brand image. Hence, minimizing privacy concerns is the top reason, that’s why companies invest in synthetic data generation.

Factors such as the exponential growth of smartphones and other smart devices has contributed to the growth of the industry. In addition to the increased adoption of synthetic data generation, there is a need to optimise data utility and share data using innovative privacy enhancing technologies to avoid privacy-related concerns, driving market demand.

The market also offers growth opportunities to the key players in the market. Many organizations such as government & defense, healthcare, BFSI, robotics and other sectors are adopting synthetic data generation due to surge in demand of digitization. This factor creates lucrative growth opportunities in the market. In addition, cutting-edge, game-changing technology such as artificial intelligence (AI), robotic process automation (RPA), blockchain and deep learning, provides lucrative opportunities for the market growth during the forecast period.

The synthetic data generation market is segmented on the basis of component, deployment mode, data type, application, industry vertical, and region. By component, it is bifurcated into solutions and services. By deployment mode, it is divided into on-premises and cloud. On the basis of data type, it is categorized into tabular data, text data, image and video data and others. By application, the market is segmented into AI training and development, test data management, data sharing and retention, data analytics and others. By industry vertical, the market is categorized into BFSI, IT and telecommunication, government and defense, healthcare and life sciences, manufacturing, transportation and logistics, media & entertainment, manufacturing and others. Region wise, it is analyzed across North America, Europe, Asia-Pacific and LAMEA.

The synthetic data generation market key players profiled in the study include Amazon.com, Inc., CVEDIA Inc., Datagen, Gretel Labs, IBM Corporation, Meta, Microsoft Corporation, Mostly AI, NVIDIA Corporation and Synthesis AI. The players in the market have been actively engaged in the adoption various strategies such as partnership, product launch, product development, collaboration, acquisition, innovation, expansion and investment to remain competitive and gain advantage over the competitors in the market. For instance, in March 2022, Appen Limited, the global leader in data for the AI Lifecycle partnered with the Mindtech, a synthetic data company specializing in the creation of high-quality training data for AI computer vision models. The partnership between Appen and Mindtech will provide customers with the ability to curate a combination of real-world and synthetic data across a wide variety of use cases.

Key Market Insights

  • By component, the solution segment was the highest revenue contributor to the market in 2021, and is estimated to reach $2,161.09 million by 2031, with a CAGR of 34.8%. However, the services segment is estimated to be the fastest growing segment with the CAGR of 37.7% during the forecast period.
  • By deployment mode, the on-premise segment dominated the global market share in 2021, and is estimated to reach $1,831.61 million by 2031, with a CAGR of 34.0%. However, the cloud segment is expected to be the fastest growing segment of synthetic data generation market during the forecast period.
  • Based on data type, the tabular data segment was the highest revenue contributor to the market, with $66.71 million in 2021, and is estimated to reach $ 1,186.45 million by 2031, with a CAGR of 33.7%.
  • By application, the AI training and development segment dominated the global market share in 2021, and is estimated to reach $948.93 million by 2031, with a CAGR of 32.6%. However, the data sharing and retention segment is expected to be the fastest growing segment of synthetic data generation market during the forecast period.
  • Based on industry vertical, the IT and telecommunication sector was the highest revenue contributor to the market, with $48.44 million in 2021, and is estimated to reach $751.30 million by 2031, with a CAGR of 31.8%.
  • Region wise, North America was the highest revenue contributor, accounting for $65.51 million in 2021, and is estimated to reach $1,091.05 million by 2031, with a CAGR of 32.8%.

Companies Mentioned

  • Gretel Labs
  • Microsoft Corporation
  • Meta
  • IBM Corporation
  • NVIDIA Corporation
  • Synthesis AI
  • CVEDIA Inc.
  • Datagen
  • Mostly AI
  • Amazon.com, Inc.

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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