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
