Transforms the Way Businesses Use Data and Generate Meaningful Insights
Synthetic data is data generated artificially based on data collected from real-world occurrences. It is artificially generated data in the form of text, tables, images, and videos, among others. Synthetic data generation will address the challenge of inefficient datasets and privacy concerns.
Generated using algorithms, it enables organizations to test operational data and train artificial intelligence (AI)/machine learning (ML) models efficiently. It also helps validate mathematical models and train deep learning models. The technology will go mainstream in the next 5 years, considering the global adoption of AI/ML models to elevate operations. There is constant R&D and reinforcement for building synthetic data in a standardized format.
In this study, the publisher will assess the transformation due to data usage caused by artificially generated data. This research covers the following:
- Models and techniques to generate synthetic data
- Existing and emerging ecosystems
- Technology-related developments and global trends
- Growth opportunities
- Strategic insights and viewpoints
Table of Contents
1 Strategic Imperatives
- Why Is It Increasingly Difficult to Grow?
- The Strategic Imperative 8™: Factors Creating Pressure on Growth
- The Strategic Imperative 8™
- The Impact of the Top 3 Strategic Imperatives on the Synthetic Data Industry
- Growth Opportunities Fuel the Growth Pipeline Engine™
- Research Methodology
2 Growth Opportunity Analysis
- Scope of Analysis
- Segmentation
- Growth Drivers
- Growth Restraints
3 Technology Attractiveness Dashboard
- Technology Attractiveness Dashboard
4 Synthetic Data: Impact Assessment
- Synthetic Data and Its Story - Generation Frameworks
- Types of Synthetic Data and Their Creation
- Relationship Between AI and Synthetic Data
- Synthetic Data Applications and Impact Assessment
- Ecosystem - Technologies That Disrupt Multiple Industries
- Top Research Transforming the Use of Synthetic Data
- Monetization of Synthetic Data Models
- Regulatory Environment to Ensure Fair Usage of Fake Data
- Patent Landscape for Synthetic Data Technologies
- Funding and Investment Scenario
- Strategic Partnerships - B2B Matchmaking
- Regional Trends and Insights
- Why Do Businesses Need Synthetic Data?
5 Growth Opportunity Universe
- Growth Opportunity 1: Open-source Initiatives for Cross-industry Collaboration
- Growth Opportunity 2: Multi-modal Synthetic Data
- Growth Opportunity 2: Multi-modal Synthetic Data
- Growth Opportunity 3: Setting Up Standardization Protocols
6 Roadmap and Strategic Insights
- Strategic Insights
7 Appendix
- Technology Readiness Levels (TRL): Explanation
8 Next Steps
- Your Next Steps
- Legal Disclaimer
