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AI Code Tools Market Size - By Offering (Tools, Services) By Technology (Machine Earning, Deep Learning, Natural Language Processing, Generative AI), By Deployment Model, By Application, By Industry Vertical & Forecast, 2024 - 2032

  • Report ID: GMI7370
  • Published Date: Sep 2024
  • Report Format: PDF

Report Content 

Chapter 1   Methodology & Scope

1.1    Research design

1.1.1    Research approach

1.1.2    Data collection methods

1.2    Base estimates & calculations

1.2.1    Base year calculation

1.2.2    Key trends for market estimation

1.3    Forecast model

1.4    Primary research and validation

1.4.1    Primary sources

1.4.2    Data mining sources

1.5    Market scope & definition

Chapter 2   Executive Summary

2.1    Industry 3600 synopsis, 2018 - 2032

Chapter 3   Industry Insights

3.1    Industry ecosystem analysis

3.2    Supplier landscape

3.2.1    Code too developers

3.2.2    AI model developers

3.2.3    Cloud service providers

3.2.4    System integrators

3.2.5    End-user

3.3    Profit margin analysis

3.4    Technology differentiators

3.4.1    Model accuracy capabilities

3.4.2    Integrated development environments (IDEs) integration

3.4.3    Model training and updates

3.4.4    Others

3.5    Patent analysis

3.6    Key news & initiatives

3.7    Regulatory landscape

3.8    Impact forces

3.8.1    Growth drivers

3.8.1.1    Rapid advancements in machine learning and deep learning technologies

3.8.1.2    Increasing adoption of AI across various end use industries

3.8.1.3    Increasing demand for cloud computing

3.8.1.4    Growing adoption of DevOps practices

3.8.2    Industry pitfalls & challenges

3.8.2.1    Data privacy and security concerns

3.8.2.2    Code accuracy and reliability challenges

3.9    Growth potential analysis

3.10    Porter’s analysis

3.11    PESTEL analysis

Chapter 4   Competitive Landscape, 2023

4.1    Introduction

4.2    Company market share analysis

4.3    Competitive positioning matrix

4.4    Strategic outlook matrix

Chapter 5   Market Estimates & Forecast, By Offering, 2018 - 2032 ($Bn)

5.1    Key trends

5.2    Tools

5.2.1    Code generation tools

5.2.2    Code review & analysis tools

5.2.3    Bug detection tools

5.2.4    Code optimization tools

5.2.5    Others

5.3    Services

5.3.1    Professional services

5.3.2    Managed tools

Chapter 6   Market Estimates & Forecast, By Technology, 2018 - 2032 ($Bn)

6.1    Key trends

6.2    Machine learning

6.3    Deep learning

6.4    Natural language processing

6.5    Generative AI

Chapter 7   Market Estimates & Forecast, By Deployment Model, 2018 - 2032 ($Bn)

7.1    Key trends

7.2    On-premises

7.3    Cloud

Chapter 8   Market Estimates & Forecast, By Application, 2018 - 2032 ($Bn)

8.1    Key trends

8.2    Data science & machine learning

8.3    Cloud services & DevOps

8.4    Web development

8.5    Mobile app development

8.6    Gaming development

8.7    Embedded systems

8.8    Others

Chapter 9   Market Estimates & Forecast, By Industry Vertical, 2018 - 2032 ($Bn)

9.1    Key trends

9.2    BFSI

9.3    IT & telecom

9.4    Healthcare

9.5    Manufacturing

9.6    Retail & e-commerce

9.7    Government

9.8    Media & entertainment

9.9    Others

Chapter 10   Market Estimates & Forecast, By Region, 2018 - 2032 ($Bn)

10.1    Key trends

10.2    North America

10.2.1   U.S.

10.2.2   Canada

10.3    Europe

10.3.1   UK

10.3.2   Germany

10.3.3   France

10.3.4   Italy

10.3.5   Spain

10.3.6   Russia

10.3.7   Nordics

10.3.8   Rest of Europe

10.4    Asia Pacific

10.4.1   China

10.4.2   India

10.4.3   Japan

10.4.4   South Korea

10.4.5   ANZ

10.4.6   Southeast Asia

10.4.7   Rest of Asia Pacific

10.5    Latin America

10.5.1   Brazil

10.5.2   Mexico

10.5.3   Argentina

10.5.4   Rest of Latin America

10.6    MEA

10.6.1   South Africa

10.6.2   Saudi Arabia

10.6.3   UAE

10.6.4   Rest of MEA

Chapter 11   Company Profiles

11.1    Amazon Web Services

11.2    CircleCI

11.3    Codeium

11.4    Datadog

11.5    GitHub, Inc.

11.6    Google Cloud

11.7    IBM

11.8    JetBrains s.r.o.

11.9    Lightning AI

11.10    Meta

11.11    OpenAI

11.12    Replit, Inc.

11.13    Salesforce

11.14    Snyk

11.15    Sourcegraph

11.16    Tabnine

11.17    Tensorflow
 

Authors: Preeti Wadhwani, Aishvarya Ambekar

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Premium Report Details

  • Base Year: 2023
  • Companies covered: 17
  • Tables & Figures: 310
  • Countries covered: 26
  • Pages: 180
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