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Synthetic Data: Future of AI and Emerging Ecosystems

Publisher Frost & Sullivan
Published Dec 18, 2023
SKU # MC18391933

Description

Synthetic Data: Future of AI and Emerging Ecosystems



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, Frost & Sullivan 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

    • 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
    • Scope of Analysis
    • Segmentation
    • Growth Drivers
    • Growth Restraints
    • Technology Attractiveness Dashboard
    • 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?
    • Growth Opportunity 1: Open-source Initiatives for Cross-industry Collaboration
    • Growth Opportunity 2: Multi-modal Synthetic Data
    • Growth Opportunity 3: Setting Up Standardization Protocols
    • Strategic Insights
    • Technology Readiness Levels (TRL): Explanation
    • Your Next Steps
    • Why Frost, Why Now?

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