Generative Artificial Intelligence (AI) In Coding Market Size, Share, Opportunities, And Trends By Operation (Code Generation, Code Enhancement, Language Translation, Code Reviews), By Application (Data Science And Analytics, Game Development And Design, Web And Application Development, IoT And Smart Devices), By End–User (BFSI, Media And Entertainment, IT & Telecom, Healthcare And Life Sciences, Transport & Logistics, Retail & E-commerce, Others), And By Geography - Forecasts From 2024 To 2029

The generative Artificial Intelligence (AI) In the coding market is expected to grow at a CAGR of 25.54%, reaching a market size of US$110.795 million in 2029 from US$35.529 million in 2024.

The rise of generative AI in coding is a result of software development processes incorporating machine learning (ML) and artificial intelligence (AI) techniques. With the aid of this technology, developers can streamline the coding process by automating and improving various aspects of it. Because of this advancement, traditional coding tasks require less manual labour, which results in quicker development cycles and increased productivity. Generative AI is necessary to handle complex coding in software applications for machine learning, deep learning, and data analysis.

Generative AI is increasingly being incorporated into Integrated Development Environments (IDEs) to improve the coding environment and increase developer productivity by offering AI-generated code suggestions and solutions within the coding workspace. This progression represents the coming together of AI powers and traditional coding techniques, leading to a more productive and cooperative development process. Microsoft's Visual Studio IntelliCode is an example of an AI-powered extension that can improve developers' coding experience with the Visual Studio IDE. By using AI technology, such innovations can enhance and expedite software development.

Further, more researchers are exploring the potential of AI to assist in the automation of various programming tasks, including code generation, providing solutions for coding problems, and enhancing programming efficiency. By incorporating machine learning and artificial intelligence, coding research is expected to build advanced instruments that may aid developers' productivity and streamline effective software creation processes. As this field transforms, it holds promise for the complete revolutionization of how programming codes are developed, tested, and optimized.

What are the generative artificial intelligence (AI) in coding market growth drivers?

• Increased demand for AI-generated content is anticipated to boost the market growth

The swelling need for content generated by artificial intelligence has propelled the generative AI market growth. This is of great significance, especially in sectors such as marketing and advertising, where diversity and customization are fundamental to making it work with consumers. In software development, generative AI employs large datasets of pre-existing codes that the ML algorithms then analyze for patterns and structure. With this knowledge, an AI model can either create brand new codes or make suggestions to the developers. It covers numerous fields, from IT and software companies that need quick production of almost precise codes to agencies requiring marketing copies.

• Increased productivity of developers is anticipated to drive market growth

The significant increase in developer productivity due to the incorporation of generative AI in coding is one of the main reasons this market is growing rapidly. By automating repetitive programming tasks, suggesting code snippets, and providing intelligent code completions, these AI tools let developers focus on more complex and creative aspects of software development. For example, GitHub’s Copilot supports programmers by automatically completing their codes and suggesting relevant operations in real-time. In addition, such automation leads to significant cost savings in the development process. Furthermore, this efficiency accelerates the entire software development process and allows companies to scale up their solutions much quicker, owing to the demand for quick digital transformation in several industries.

• Enhanced coding quality is increasing the market share

Generative AI greatly improves code quality and consistency beyond just increasing efficiency. In the early stages of development, developers can identify and rectify potential bugs, vulnerabilities, and performance issues by using AI-driven code analysis tools. DeepCode is an example of a program that utilizes machine learning to sift through code patterns to provide advice on improving the readability and reliability of the code. This software will have fewer defects by anticipating coding standards, making it easier to maintain and more scalable.

Generative artificial intelligence (AI) in coding market restraints:

• Security and privacy concerns are anticipated to impede market growth

Security and privacy concerns are the main reasons for the limited growth of generative artificial intelligence in programming markets. This raises questions about data confidentiality and intellectual property rights since there is a chance that some private or sensitive information may be accidentally acquired or reproduced while training AI algorithms on large codebases. Furthermore, hackers may sometimes exploit security holes created by them.

For instance, around 30% of AI-driven tools designed to make suggestions about the code might contain security holes. These vulnerabilities compromise trust in these software applications, reducing their efficacy as an effective means of making use of automated coding techniques. Nevertheless, businesses and developers remain cautious whenever they have to use these tools since digital asset safety becomes their main concern.

What are the key geographical trends shaping the generative artificial intelligence (AI) in coding market?

• North America is witnessing exponential growth during the forecast period

The surge is a result of many important things, such as a lively environment of start-ups and technological growth, huge financial resources allocated to AI research and development, and a strong innovation climate. With these exclusive market dynamics in this region, generative AI instruments are being embraced to raise output levels and make programming more efficient.

Further, the market presence of North America has significant future implications. The region is expected to set global standards for AI in coding and influence software development practices globally as it continues to advance AI. North America's sustained innovation and growth will probably draw in more capital, enhancing its dominant position in the market.

Recent developments in the generative artificial intelligence (AI) in coding market

• In July 2023, Persistent Systems, a division of Alphabet Inc., collaborated with Google Cloud to launch generative AI products. These solutions speed code migration and increase developer productivity to help clients implement cutting-edge technologies at scale, cutting costs and time to market.
• In July 2023, Microsoft Corporation partnered with the multinational French IT services and consulting company Capgemini SE. It was through this collaboration that Azure Intelligent App Factory was established. Using Azure Intelligent App Factory, businesses can invest more in AI, promote creativity, and get more out of their current apps. The new service, which has applications in all industries, is intended to assist businesses in implementing generative AI.

Generative Artificial Intelligence (AI) In Coding Market Scope:

Report Metric	Details
Generative AI in Coding Market Size in 2024	US$35.529 million
Generative AI in Coding Market Size in 2029	US$110.795 million
Growth Rate	CAGR of 25.54%
Study Period	2019 to 2029
Historical Data	2019 to 2022
Base Year	2024
Forecast Period	2024 – 2029
Forecast Unit (Value)	USD Million
Segmentation	Operation Application End–User Geography
Geographical Segmentation	North America, South America, Europe, Middle East and Africa, Asia Pacific
List of Major Companies in Generative AI in Coding Market	Codecademy CodiumAI Google LLC IBM Corporation Microsoft Corporation
Customization Scope	Free report customization with purchase

 

The Generative Artificial Intelligence (AI) In coding market is segmented and analyzed as follows:

• By Operation
  • Code Generation
  • Code Enhancement
  • Language Translation
  • Code Reviews
• By Application
  • Data Science and Analytics
  • Game Development and Design
  • Web and Application Development
  • IoT and Smart Devices
• By End–User
  • BFSI
  • Media and Entertainment
  • IT & Telecom
  • Healthcare and Life Sciences
  • Transport & logistics
  • Retail & E-commerce
  • Others
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Others
  • Europe
    • United Kingdom
    • Germany
    • France
    • Spain
    • Others
  • Middle East and Africa
    • Saudi Arabia
    • UAE
    • Israel
    • Others
  • Asia Pacific
    • Japan
    • China
    • India
    • South Korea
    • Indonesia
    • Thailand
    • Others

1. INTRODUCTION

1.1. Market Overview

1.2. Market Definition

1.3. Scope of the Study

1.4. Market Segmentation

1.5. Currency

1.6. Assumptions

1.7. Base and Forecast Years Timeline

1.8. Key Benefits to the Stakeholder

2. RESEARCH METHODOLOGY  

2.1. Research Design

2.2. Research Processes

3. EXECUTIVE SUMMARY

3.1. Key Findings

3.2. CXO Perspective

4. MARKET DYNAMICS

4.1. Market Drivers

4.2. Market Restraints

4.3. Porter’s Five Forces Analysis

4.3.1. Bargaining Power of Suppliers

4.3.2. Bargaining Power of Buyers

4.3.3. Threat of New Entrants

4.3.4. Threat of Substitutes

4.3.5. Competitive Rivalry in the Industry

4.4. Industry Value Chain Analysis

4.5. Analyst View

5. GENERATIVE ARTIFICIAL INTELLIGENCE (AI) IN CODING MARKET BY OPERATION

5.1. Introduction

5.2. Code Generation

5.3. Code Enhancement

5.4. Language Translation

5.5. Code Reviews

6. GENERATIVE ARTIFICIAL INTELLIGENCE (AI) IN CODING MARKET BY APPLICATION

6.1. Introduction

6.2. Data Science and Analytics

6.3. Game Development and Design

6.4. Web and Application Development

6.5. IoT and Smart Devices

7. GENERATIVE ARTIFICIAL INTELLIGENCE (AI) IN CODING MARKET BY END-USER

7.1. Introduction

7.2. BFSI

7.3. Media and Entertainment

7.4. IT & Telecom

7.5. Healthcare and Life Sciences

7.6. Transport & logistics

7.7. Retail & E-commerce

7.8. Others

8. GENERATIVE ARTIFICIAL INTELLIGENCE (AI) IN CODING MARKET BY GEOGRAPHY

8.1. Introduction

8.2. North America

8.2.1. By Operation

8.2.2. By Application

8.2.3. By End-User

8.2.4. By Country

8.2.4.1. United States

8.2.4.2. Canada

8.2.4.3. Mexico

8.3. South America

8.3.1. By Operation

8.3.2. By Application

8.3.3. By End-User

8.3.4. By Country

8.3.4.1. Brazil

8.3.4.2. Argentina

8.3.4.3. Others

8.4. Europe

8.4.1. By Operation

8.4.2. By Application

8.4.3. By End-User

8.4.4. By Country

8.4.4.1. United Kingdom

8.4.4.2. Germany

8.4.4.3. France

8.4.4.4. Spain

8.4.4.5. Others

8.5. Middle East and Africa

8.5.1. By Operation

8.5.2. By Application

8.5.3. By End-User

8.5.4. By Country

8.5.4.1. Saudi Arabia

8.5.4.2. UAE

8.5.4.3. Israel

8.5.4.4. Others

8.6. Asia Pacific

8.6.1. By Operation

8.6.2. By Application

8.6.3. By End-User

8.6.4. By Country

8.6.4.1. Japan

8.6.4.2. China

8.6.4.3. India

8.6.4.4. South Korea

8.6.4.5. Indonesia

8.6.4.6. Thailand

8.6.4.7. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

9.1. Major Players and Strategy Analysis

9.2. Market Share Analysis

9.3. Mergers, Acquisitions, Agreements, and Collaborations

9.4. Competitive Dashboard

10. COMPANY PROFILES

10.1. Codecademy

10.2. CodiumAI

10.3. Google LLC

10.4. IBM Corporation

10.5. Microsoft Corporation

10.6. NVIDIA Corporation

10.7. OpenAI

10.8. Tabnine

Codecademy

CodiumAI

Google LLC

IBM Corporation

Microsoft Corporation

NVIDIA Corporation

OpenAI

Tabnine