Information Technology

Synthetic Data: Future of AI and Emerging Ecosystems

Transforms the Way Businesses Use Data and Generate Meaningful Insights


RELEASE DATE
18-Dec-2023
REGION
Global
DELIVERABLE TYPE
Technology Research

RESEARCH CODE
DAD3-01-00-00-00
SKU
IT_2023_446
Yes
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Synthetic Data: Future of AI and Emerging Ecosystems
Published on: 18-Dec-2023 | SKU: IT_2023_446

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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

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

Technology Attractiveness Dashboard (continued)

Technology Attractiveness Dashboard (continued)

Technology Attractiveness Dashboard (continued)

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 1: Open-source Initiatives for Cross-industry Collaboration (continued)

Growth Opportunity 2: Multi-modal Synthetic Data

Growth Opportunity 2: Multi-modal Synthetic Data

Growth Opportunity 3: Setting Up Standardization Protocols

Growth Opportunity 3: Setting Up Standardization Protocols (continued)

Strategic Insights

Technology Readiness Levels (TRL): Explanation

Your Next Steps

Why Frost, Why Now?

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