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Worldwide AI Life-Cycle Software Market Shares, 2022: A Focus on Governance and MLOps

Publisher IDC
Published Jun 28, 2023
Length 15 Pages
SKU # IDC18029862

Description

Worldwide AI Life-Cycle Software Market Shares, 2022: A Focus on Governance and MLOps


This IDC study presents a view of worldwide artificial intelligence (AI) life-cycle software revenue broken down by vendor for the historical year 2022."Enterprise organizations focused more diligently on MLOps in 2022, attempting to reap the benefits of their AI investments by putting more models into production," says Kathy Lange, research director, AI and Automation Software research at IDC. "Greater automation within the AI life cycle to reduce manual handoffs and increase collaboration across skill sets will be critical to increasing model velocity. Along with technology, trust is among the most significant barriers to AI adoption. MLOps methodologies provide a solution for the growing need for greater transparency and explainability of data and model results to promote confidence in AI/ML–based applications."

Please Note: Extended description available upon request.

Table of Contents

15 Pages
IDC Market Share Figure
Executive Summary
Advice for Technology Suppliers
Enable Non-Data Scientists to Perform Machine Learning Tasks
Focus on Data-Centric Processes
Incorporate Synthetic Data
Enhance Trustworthy AI Features
Strengthen Machine Learning Operations and Governance
Augment Capabilities with Generative AI
Market Share
Who Shaped the Year
Market Context
Lack of AI Talent
Data-Centric Focus
Trustworthy AI
Machine Learning Operations and Governance
AI/ML Ecosystems
Open Source Tools and Frameworks
Significant Market Developments
Methodology
Market Definition
AI Life-Cycle Software
Data Labeling Software
AI Build Software
MLOps Software
Trustworthy AI Software
Related Research

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