Synthetic Data Generation Market

Best Price Guarantee	Length	Publisher	Published Date	SKU
from $4,850	160 Pages	Fortune Business Insights Pvt. Ltd.	October, 2024	FOB19260736

Best Price Guarantee
Price	from $4,850
Length	160 Pages
Publisher	Fortune Business Insights Pvt. Ltd.
Published Date	October, 2024
SKU	FOB19260736

Synthetic Data Generation Market

Growth Factors of Synthetic Data Generation Market

The Synthetic Data Generation market size was valued at USD 288.5 million in 2023, and the market is now projected to grow from USD 351.2 million in 2024 to USD 2339.8 million by 2032, exhibiting a CAGR of 31.1% during the forecast period of 2024-2032.

Rising trend of the Artificial Intelligence (AI) and ML innovation infiltration over distinctive mechanical segments, including the BFSI, healthcare, media & entertainment, automotive, and others, helps secure private open data from cyber dangers. Hence, utilizing manufactured information guaranteed information protection and imitated the factual properties of the operational information without putting the security of a person and undertaking at hazard amid the COVID -19 circumstance.

Large Language Models (LLM) are learning calculations that offer assistance interpret, create, and foresee content and other sorts of substance based on expansive datasets and the nonstop improvement of websites and different arrangements that utilize language models. Generative Pre-trained Transformer (GPT) may be a language show that produces content information utilizing GPT-1, GPT-2, and GPT-3 models. GPT-3 is the foremost complex show and has come to 175 million machine learning parameters to form a huge dataset of conversational information. Thus, the rise in sending of Large Language Models (LLM) is expected to drive the synthetic data generation market growth amid the estimate period.

Real-world information cannot be accessed due to protection concerns or compliance dangers in conjunction with the directions forced by General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), and Wellbeing Protections Compactness and Responsibility Act (HIPAA). The rise in security dangers for collecting real-world datasets creates request for engineered information, a practical form of the genuine information set with comparative measurable properties. This synthesized information can be utilized as an elective to genuine information and offers a few preferences with respect to security, versatility, and differences.

Comprehensive Analysis of Synthetic Data Generation Market

The market on the bifurcation of type, is sectioned into content data, image & video information, unthinkable information, and others. In the recent times, companies are confronting challenges in collecting real-life information due to security concerns. On the foundation of application, the market structure is partitioned into test information administration, AI training & advancement, undertaking information sharing, and information analytics & visualization. The test information administration section holds the biggest market share. The marketplace on the premises of industry analysis is sectioned into healthcare, fabricating, media & entertainment, automotive, BFSI, retail & e-commerce, IT & media transmission, and others. Expanding utilization of engineered information over BFSI industry makes it most governing industry portion.

The territory of North America holds the biggest synthetic data generation market share, owing to the nearness of different advertise players with a valuation of USD 96.4 million. The rising number of AI new companies, inquire about organizing, and high-tech companies creates request for high-quality engineered information to conduct investigate and tests. This calculate fills the market development over the continent.

Fueling investments in era of engineered information for diverse industry verticals are making a difference key players keep up their competitive edge. These companies to lock in in key organizations, acquisitions, and collaborations to grow their commerce and dispersion organize and keep up showcase development. These players enlisted as: MOSTLY AI (Austria), Synthesis AI (U.S.), Hazy Limited. (U.K.), TonicAI Inc. (U.S.), Datagen (U.S.), K2view Ltd. (U.S.), Sogeti (France), Replica Analutics Ltd. (Canada), and others.

In the month of May 2023, the company Synthesis AI propelled an unused endeavor manufactured dataset on the Snowflake commercial center, where their clients can get to promptly accessible Blend AI's manufactured human faces to create visual information for the computer vision show without compromising Synthesis AI's customer security.

Segmentation Table

ATTRIBUTE DETAILS

Study Period 2019-2030

Base Year 2022

Estimated Year 2023

Forecast Period 2023-2030

Historical Period 2019-2021

Growth Rate CAGR of 31.1% from 2023 to 2030

Unit Value (USD Million)

Segmentation By Data Type, Application, Industry, and Region

By Data Type Text Data

Image & Video Data

Tabular Data

Others (Sound, Time Series Data)

By Application Test Data Management

AI Training & Development

Enterprise Data Sharing

Data Analytics & Visualization

By Industry Healthcare

Manufacturing

Media and Entertainment

Automotive

BFSI

Retail & E-commerce

IT & Telecommunication

Others (Agriculture, Transportation)

By Region North America (By Data Type, By Application, By Industry, and By Country)

U.S. (By Industry)
Canada (By Industry)
Mexico (By Industry)

Europe (By Data Type, By Application, By Industry, and By Country)

U.K. (By Industry)
Germany (By Industry)
France (By Industry)
Italy (By Industry)
Spain (By Industry)
Russia (By Industry)
Benelux (By Industry)
Nordics (By Industry)
Rest of Europe

Asia Pacific (By Data Type, By Application, By Industry, and By Country)

China (By Industry)
Japan (By Industry)
India (By Industry)
South Korea (By Industry)
ASEAN (By Industry)
Oceania (By Industry)
Rest of Asia Pacific

Middle East & Africa (By Data Type, By Application, By Industry, and By Country)

Turkey (By Industry)
Israel (By Industry)
GCC (By Industry)
North Africa (By Industry)
South Africa (By Industry)
Rest of Middle East & Africa

South America (By Data Type, By Application, By Industry, and By Country)

Brazil (By Industry)
Argentina (By Industry)
Rest of South America

Please Note:

1. Introduction: 1.1. Definition, By Segment; 1.2. Research Methodology/Approach; 1.3. Data Sources
2. Executive Summary
3. Market Dynamics: 3.1. Macro and Micro Economic Indicators; 3.2. Drivers, Restraints, Opportunities and Trends; 3.3. Impact of COVID-19
4. Competition Landscape: 4.1. Business Strategies Adopted by Key Players; 4.2. Consolidated SWOT Analysis of Key Players; 4.3. Global Synthetic Data Generation Key Players Market Share/Ranking, 2022
5. Global Synthetic Data Generation Market Size Estimates and Forecasts, By Segments, 2019-2030: 5.1. Key Findings; 5.2. By Data Type (USD); 5.2.1. Text Data; 5.2.2. Image & Video Data; 5.2.3. Tabular Data; 5.2.4. Others (Sound, Time Series Data); 5.3. By Application (USD); 5.3.1. Test Data Management; 5.3.2. AI Training & Development; 5.3.3. Enterprise Data Sharing; 5.3.4. Data Analytics & Visualization; 5.4. By Industry (USD); 5.4.1. Healthcare; 5.4.2. Manufacturing; 5.4.3. Media and Entertainment; 5.4.4. Automotive; 5.4.5. BFSI; 5.4.6. Retail & E-commerce; 5.4.7. IT & Telecommunication; 5.4.8. Others (Agriculture, Transportation, etc.); 5.5. By Region (USD); 5.5.1. North America; 5.5.2. Europe; 5.5.3. Asia Pacific; 5.5.4. Middle East & Africa; 5.5.5. South America
6. North America Synthetic Data Generation Market Size Estimates and Forecasts, By Segments, 2019-2030: 6.1. Key Findings; 6.2. By Data Type (USD); 6.2.1. Text Data; 6.2.2. Image & Video Data; 6.2.3. Tabular Data; 6.2.4. Others (Sound, Time Series Data); 6.3. By Application (USD); 6.3.1. Test Data Management; 6.3.2. AI Training & Development; 6.3.3. Enterprise Data Sharing; 6.3.4. Data Analytics & Visualization; 6.4. By Industry (USD); 6.4.1. Healthcare; 6.4.2. Manufacturing; 6.4.3. Media and Entertainment; 6.4.4. Automotive; 6.4.5. BFSI; 6.4.6. Retail & E-commerce; 6.4.7. IT & Telecommunication; 6.4.8. Others (Agriculture, Transportation, etc.); 6.5. By Country (USD); 6.5.1. United States; 6.5.1.1. By Industry; 6.5.2. Canada; 6.5.2.1. By Industry; 6.5.3. Mexico; 6.5.3.1. By Industry
7. Europe Synthetic Data Generation Market Size Estimates and Forecasts, By Segments, 2019-2030: 7.1. Key Findings; 7.2. By Data Type (USD); 7.2.1. Text Data; 7.2.2. Image & Video Data; 7.2.3. Tabular Data; 7.2.4. Others (Sound, Time Series Data); 7.3. By Application (USD); 7.3.1. Test Data Management; 7.3.2. AI Training & Development; 7.3.3. Enterprise Data Sharing; 7.3.4. Data Analytics & Visualization; 7.4. By Industry (USD); 7.4.1. Healthcare; 7.4.2. Manufacturing; 7.4.3. Media and Entertainment; 7.4.4. Automotive; 7.4.5. BFSI; 7.4.6. Retail & E-commerce; 7.4.7. IT & Telecommunication; 7.4.8. Others (Agriculture, Transportation, etc.); 7.5. By Country (USD); 7.5.1. United Kingdom; 7.5.1.1. By Industry; 7.5.2. Germany; 7.5.2.1. By Industry; 7.5.3. France; 7.5.3.1. By Industry; 7.5.4. Italy; 7.5.4.1. By Industry; 7.5.5. Spain; 7.5.5.1. By Industry; 7.5.6. Russia; 7.5.6.1. By Industry; 7.5.7. Benelux; 7.5.7.1. By Industry; 7.5.8. Nordics; 7.5.8.1. By Industry; 7.5.9. Rest of Europe
8. Asia Pacific Synthetic Data Generation Market Size Estimates and Forecasts, By Segments, 2019-2030: 8.1. Key Findings; 8.2. By Data Type (USD); 8.2.1. Text Data; 8.2.2. Image & Video Data; 8.2.3. Tabular Data; 8.2.4. Others (Sound, Time Series Data); 8.3. By Application (USD); 8.3.1. Test Data Management; 8.3.2. AI Training & Development; 8.3.3. Enterprise Data Sharing; 8.3.4. Data Analytics & Visualization; 8.4. By Industry (USD); 8.4.1. Healthcare; 8.4.2. Manufacturing; 8.4.3. Media and Entertainment; 8.4.4. Automotive; 8.4.5. BFSI; 8.4.6. Retail & E-commerce; 8.4.7. IT & Telecommunication; 8.4.8. Others (Agriculture, Transportation, etc.); 8.5. By Country (USD); 8.5.1. China; 8.5.1.1. By Industry; 8.5.2. India; 8.5.2.1. By Industry; 8.5.3. Japan; 8.5.3.1. By Industry; 8.5.4. South Korea; 8.5.4.1. By Industry; 8.5.5. ASEAN; 8.5.5.1. By Industry; 8.5.6. Oceania; 8.5.6.1. By Industry; 8.5.7. Rest of Asia Pacific
9. Middle East & Africa Synthetic Data Generation Market Size Estimates and Forecasts, By Segments, 2019-2030: 9.1. Key Findings; 9.2. By Data Type (USD); 9.2.1. Text Data; 9.2.2. Image & Video Data; 9.2.3. Tabular Data; 9.2.4. Others (Sound, Time Series Data); 9.3. By Application (USD); 9.3.1. Test Data Management; 9.3.2. AI Training & Development; 9.3.3. Enterprise Data Sharing; 9.3.4. Data Analytics & Visualization; 9.4. By Industry (USD); 9.4.1. Healthcare; 9.4.2. Manufacturing; 9.4.3. Media and Entertainment; 9.4.4. Automotive; 9.4.5. BFSI; 9.4.6. Retail & E-commerce; 9.4.7. IT & Telecommunication; 9.4.8. Others (Agriculture, Transportation, etc.); 9.5. By Country (USD); 9.5.1. Turkey; 9.5.1.1. By Industry; 9.5.2. Israel; 9.5.2.1. By Industry; 9.5.3. GCC; 9.5.3.1. By Industry; 9.5.4. North Africa; 9.5.4.1. By Industry; 9.5.5. South Africa; 9.5.5.1. By Industry; 9.5.6. Rest of MEA
10. South America Synthetic Data Generation Market Size Estimates and Forecasts, By Segments, 2019-2030: 10.1. Key Findings; 10.2. By Data Type (USD); 10.2.1. Text Data; 10.2.2. Image & Video Data; 10.2.3. Tabular Data; 10.2.4. Others (Sound, Time Series Data); 10.3. By Application (USD); 10.3.1. Test Data Management; 10.3.2. AI Training & Development; 10.3.3. Enterprise Data Sharing; 10.3.4. Data Analytics & Visualization; 10.4. By Industry (USD); 10.4.1. Healthcare; 10.4.2. Manufacturing; 10.4.3. Media and Entertainment; 10.4.4. Automotive; 10.4.5. BFSI; 10.4.6. Retail & E-commerce; 10.4.7. IT & Telecommunication; 10.4.8. Others (Agriculture, Transportation, etc.); 10.5. By Country (USD); 10.5.1. Brazil; 10.5.1.1. By Industry; 10.5.2. Argentina; 10.5.2.1. By Industry; 10.5.3. Rest of South America
11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases): 11.1. Datagen; 11.1.1. Overview; 11.1.1.1. Key Management; 11.1.1.2. Headquarters; 11.1.1.3. Offerings/Business Segments; 11.1.2. Key Details (Key details are consolidated data and not product/service specific); 11.1.2.1. Employee Size; 11.1.2.2. Past and Current Revenue; 11.1.2.3. Geographical Share; 11.1.2.4. Business Segment Share; 11.1.2.5. Recent Developments; 11.2. MOSTLY AI; 11.2.1. Overview; 11.2.1.1. Key Management; 11.2.1.2. Headquarters; 11.2.1.3. Offerings/Business Segments; 11.2.2. Key Details (Key details are consolidated data and not product/service specific); 11.2.2.1. Employee Size; 11.2.2.2. Past and Current Revenue; 11.2.2.3. Geographical Share; 11.2.2.4. Business Segment Share; 11.2.2.5. Recent Developments; 11.3. TonicAI, Inc.; 11.3.1. Overview; 11.3.1.1. Key Management; 11.3.1.2. Headquarters; 11.3.1.3. Offerings/Business Segments; 11.3.2. Key Details (Key details are consolidated data and not product/service specific); 11.3.2.1. Employee Size; 11.3.2.2. Past and Current Revenue; 11.3.2.3. Geographical Share; 11.3.2.4. Business Segment Share; 11.3.2.5. Recent Developments; 11.4. Synthesis AI; 11.4.1. Overview; 11.4.1.1. Key Management; 11.4.1.2. Headquarters; 11.4.1.3. Offerings/Business Segments; 11.4.2. Key Details (Key details are consolidated data and not product/service specific); 11.4.2.1. Employee Size; 11.4.2.2. Past and Current Revenue; 11.4.2.3. Geographical Share; 11.4.2.4. Business Segment Share; 11.4.2.5. Recent Developments; 11.5. GenRocket, Inc.; 11.5.1. Overview; 11.5.1.1. Key Management; 11.5.1.2. Headquarters; 11.5.1.3. Offerings/Business Segments; 11.5.2. Key Details (Key details are consolidated data and not product/service specific); 11.5.2.1. Employee Size; 11.5.2.2. Past and Current Revenue; 11.5.2.3. Geographical Share; 11.5.2.4. Business Segment Share; 11.5.2.5. Recent Developments; 11.6. Gretel Labs, Inc.; 11.6.1. Overview; 11.6.1.1. Key Management; 11.6.1.2. Headquarters; 11.6.1.3. Offerings/Business Segments; 11.6.2. Key Details (Key details are consolidated data and not product/service specific); 11.6.2.1. Employee Size; 11.6.2.2. Past and Current Revenue; 11.6.2.3. Geographical Share; 11.6.2.4. Business Segment Share; 11.6.2.5. Recent Developments; 11.7. K2view Ltd.; 11.7.1. Overview; 11.7.1.1. Key Management; 11.7.1.2. Headquarters; 11.7.1.3. Offerings/Business Segments; 11.7.2. Key Details (Key details are consolidated data and not product/service specific); 11.7.2.1. Employee Size; 11.7.2.2. Past and Current Revenue; 11.7.2.3. Geographical Share; 11.7.2.4. Business Segment Share; 11.7.2.5. Recent Developments; 11.8. Hazy Limited.; 11.8.1. Overview; 11.8.1.1. Key Management; 11.8.1.2. Headquarters; 11.8.1.3. Offerings/Business Segments; 11.8.2. Key Details (Key details are consolidated data and not product/service specific); 11.8.2.1. Employee Size; 11.8.2.2. Past and Current Revenue; 11.8.2.3. Geographical Share; 11.8.2.4. Business Segment Share; 11.8.2.5. Recent Developments; 11.9. Replica Analytics Ltd.; 11.9.1. Overview; 11.9.1.1. Key Management; 11.9.1.2. Headquarters; 11.9.1.3. Offerings/Business Segments; 11.9.2. Key Details (Key details are consolidated data and not product/service specific); 11.9.2.1. Employee Size; 11.9.2.2. Past and Current Revenue; 11.9.2.3. Geographical Share; 11.9.2.4. Business Segment Share; 11.9.2.5. Recent Developments; 11.10. YData Labs Inc.; 11.10.1. Overview; 11.10.1.1. Key Management; 11.10.1.2. Headquarters; 11.10.1.3. Offerings/Business Segments; 11.10.2. Key Details (Key details are consolidated data and not product/service specific); 11.10.2.1. Employee Size; 11.10.2.2. Past and Current Revenue; 11.10.2.3. Geographical Share; 11.10.2.4. Business Segment Share; 11.10.2.5. Recent Developments
12. Key Takeaways