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Worldwide Low-Code, No-Code, and Intelligent Developer Technologies Market Shares, 2023: Intelligence Drives Development Technologies

Publisher IDC
Published Dec 20, 2024
Length 19 Pages
SKU # IDC19430491

Description

Worldwide Low-Code, No-Code, and Intelligent Developer Technologies Market Shares, 2023: Intelligence Drives Development Technologies


This IDC study provides worldwide market share data for the low-code, no-code, and intelligent developer technologies market for the calendar year 2023.“Generative AI technologies have catalyzed a new wave of innovation within the space of developer technologies,” said Arnal Dayaratna, research vice president, Software Development at IDC. “Generative AI is disruptively transforming the traditional development stack by foregrounding the importance of technologies such as foundation models, development frameworks that specialize in interacting with foundation models, and SDKs that are designed to optimize accelerated compute infrastructures such as GPUs, TPUs, NPUs, and CPUs. Meanwhile, AI coding assistants are rapidly gaining market traction and becoming a table stakes attribute of contemporary developer experience. In addition, low-code and no-code development platforms are rapidly evolving to support the needs of developers to create intelligent developer technologies. As a result, the low-code, no-code, and intelligent developer technologies landscape is experiencing exceptional and unprecedented market growth across all industry verticals, organizations, and geographies.”

Table of Contents

19 Pages

IDC Market Share Figure

Executive Summary

Advice for Technology Suppliers

Provide Organizations with Guidance About the Selection of Foundation Models

Productize Modalities for Transforming Foundation Models

Deepen the Integration of Low Code and No Code into Generative AI Development

Provide Educational Resources for Upskilling Developers About SDKs for Accelerated Compute Resources

Market Share

Who Shaped the Year

Microsoft and GitHub

Salesforce

IBM

OpenAI

NVIDIA

Market Context

AI Coding Assistants Become Mainstream

Large Language Models Become Central to Software Development

Advancements in Model Transformation Technologies such as RAG and Fine-Tuning

Significant Market Developments

GitHub Copilot: Revolutionizing Developer Workflows

GPT-4: Advancing AI-Assisted Software Development

Amazon Bedrock: Streamlining Access to Foundation Models

Google Gemini: Anticipating a Multimodal AI Leap

Changes from the Prior Document

Methodology

Functional Versus Competitive Markets

Market Definition

Related Research

How Do Licenses Work?
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