Product Code: GVR-4-68040-381-9
AI Code Tools Market Growth & Trends:
The global AI code tools market size is expected to reach USD 26.03 billion by 2030, registering a CAGR of 27.1% from 2024 to 2030, according to a new report by Grand View Research, Inc. Factors such as growing adoption of Low-Code/No-Code platforms, and increased investments in AI code tool startups are driving the growth of the market. Businesses need to deliver features and products quickly to stay competitive. AI code tools empower developers to iterate on code faster and deliver projects quicker.Low-code/No-Code platforms make development accessible to non-programmers, further expanding the potential user base for AI code tools.
Cloud computing provides the scalability and processing power needed to run complex AI algorithms behind AI code tools. Advancements in cloud infrastructure further enhance these tools' capabilities. The digital age demands a constant stream of new applications and functionalities. AI code tools automate repetitive tasks and generate code snippets, freeing up developers to tackle complex problems and accelerate development cycles. The global software development industry faces a skilled developer gap. AI code tools bridge this gap by making development tasks easier for less experienced developers, increasing overall developer productivity.
The adoption of Agile and DevOps methodologies emphasizes continuous integration and continuous deployment (CI/CD), necessitating tools that can accelerate development and deployment. Moreover, the need to detect and fix bugs early in the development process drives the adoption of AI-powered code analysis and review tools. Furthermore, increasing cybersecurity threats necessitate the use of AI tools to identify and mitigate vulnerabilities in tools. Automating repetitive and time-consuming tasks can significantly reduce development costs and enable developers to focus on more critical aspects of software development.
AI Code Tools Market Report Highlights:
- The North America region dominated the market in 2023, accounting for the largest share of global revenue. North American businesses are early adopting new technologies. This openness to innovation drives the rapid uptake of AI code tools in the region.
- The tools segment dominated the market in 2023. AI code tools bridge the gap by making development tasks easier for less experienced programmers. Moreover, AI code tools automate repetitive tasks such as code generation and debugging, freeing developers for more strategic work.
- The code generation tools segment dominated the market in 2023. The digital age necessitates a constant stream of new software applications and features. Code generation tools automate repetitive coding tasks and generate code snippets, freeing up developers to focus on complex problems and accelerate development cycles.
- The professional services segment dominated the market in 2023. As AI code tools become more advanced, their implementation and integration require specialized expertise. Professional service providers offer consulting, training, and support to help businesses navigate this complexity and maximize the benefits of these tools.
- The cloud segment dominated the market in 2023. Cloud-based AI code tools are automatically updated and maintained by the provider. This eliminates the burden of managing software updates and infrastructure for internal IT teams, allowing developers to focus on core development tasks.
- Machine Learning (ML) segment dominated the market in 2023. Machine learning is the core technology powering AI code tools. ML algorithms analyze existing code patterns and programmer intent to suggest code completions or even generate entire code snippets. This significantly improves developer productivity.
- Data Science & Machine Learning segment dominated the market in 2023. The demand for skilled data scientists far outpaces the supply. AI code tools can empower citizen developers and analysts with basic coding skills to contribute to Directory Services Markup Language (DSML) projects, alleviating this shortage.
- The BFSI segment accounted for the largest share of the global market in 2023. The rising need to provide customized banking solutions to customers and the growing dependency on digital infrastructure for managing business operations are some of the key factors driving the growth of AI code tool adoption across the segment.
Table of Contents
Chapter 1. Methodology and Scope
- 1.1. Market Segmentation and Scope
- 1.2. Market Definitions
- 1.3. Research Methodology
- 1.3.1. Information Procurement
- 1.3.2. Information or Data Analysis
- 1.3.3. Market Formulation & Data Visualization
- 1.3.4. Data Validation & Publishing
- 1.4. Research Scope and Assumptions
- 1.4.1. List of Data Sources
Chapter 2. Executive Summary
- 2.1. Market Outlook
- 2.2. Segment Outlook
- 2.3. Competitive Insights
Chapter 3. AI Code Tools Market Variables, Trends, & Scope
- 3.1. Market Introduction/Lineage Outlook
- 3.2. Market Size and Growth Prospects (USD Million)
- 3.3. Industry Value Chain Analysis
- 3.4. Market Dynamics
- 3.4.1. Market Drivers Analysis
- 3.4.1.1. Continuous advancements in AI algorithms, machine learning models, and computing infrastructure
- 3.4.1.2. Increasing demand across industries for automation of repetitive tasks, enhanced productivity, and operational efficiency
- 3.4.2. Market Restraints Analysis
- 3.4.2.1. Data privacy and security concerns
- 3.4.3. Industry Opportunities
- 3.4.4. Industry Challenges
- 3.5. AI Code Tools Market Analysis Tools
- 3.5.1. Porter's Analysis
- 3.5.1.1. Bargaining power of the suppliers
- 3.5.1.2. Bargaining power of the buyers
- 3.5.1.3. Threats of substitution
- 3.5.1.4. Threats from new entrants
- 3.5.1.5. Competitive rivalry
- 3.5.2. PESTEL Analysis
- 3.5.2.1. Political landscape
- 3.5.2.2. Economic and Social landscape
- 3.5.2.3. Technological landscape
- 3.5.2.4. Environmental landscape
- 3.5.2.5. Legal landscape
Chapter 4. AI Code Tools Market: Offering Estimates & Trend Analysis
- 4.1. Segment Dashboard
- 4.2. AI Code Tools Market: Offering Movement Analysis, 2023 & 2030 (USD Million)
- 4.3. Tools
- 4.3.1. Tools Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
- 4.3.2. Code Generation Tools
- 4.3.3. Code Review & Analysis Tools
- 4.3.4. Bug Detection Tools
- 4.3.5. Code Optimization Tools
- 4.3.6. Others
- 4.4. Services
- 4.4.1. Services Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
- 4.4.2. Professional Services
- 4.4.3. Managed Services
Chapter 5. AI Code Tools Market: Deployment Estimates & Trend Analysis
- 5.1. Segment Dashboard
- 5.2. AI Code Tools Market: Deployment Movement Analysis, 2023 & 2030 (USD Million)
- 5.3. Cloud
- 5.3.1. Cloud Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
- 5.4. On-Premises
- 5.4.1. On-Premises Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
Chapter 6. AI Code Tools Market: Technology Estimates & Trend Analysis
- 6.1. Segment Dashboard
- 6.2. AI Code Tools Market: Technology Movement Analysis, 2023 & 2030 (USD Million)
- 6.3. Machine Learning
- 6.3.1. Machine Learning Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
- 6.4. Natural Language Processing
- 6.4.1. Natural Language Processing Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
- 6.5. Generative AI
- 6.5.1. Generative AI Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
Chapter 7. AI Code Tools Market: Application Estimates & Trend Analysis
- 7.1. Segment Dashboard
- 7.2. AI Code Tools Market: Application Movement Analysis, 2023 & 2030 (USD Million)
- 7.3. Data Science & Machine Learning
- 7.3.1. Data Science & Machine Learning Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
- 7.4. On-premises Services & DevOps
- 7.4.1. On-premises Services & DevOps Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
- 7.5. Web Development
- 7.5.1. Web Development Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
- 7.6. Mobile App Development
- 7.6.1. Mobile App Development Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
- 7.7. Gaming Development
- 7.7.1. Gaming Development Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
- 7.8. Embedded Systems
- 7.8.1. Embedded Systems Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
- 7.9. Others
- 7.9.1. Others Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
Chapter 8. AI Code Tools Market: Vertical Estimates & Trend Analysis
- 8.1. Segment Dashboard
- 8.2. AI Code Tools Market: Vertical Movement Analysis, 2023 & 2030 (USD Million)
- 8.3. BFSI
- 8.3.1. BFSI Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.4. Healthcare and Life Sciences
- 8.4.1. Healthcare and Life Sciences Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.5. Retail
- 8.5.1. Retail Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.6. IT & Telecommunication
- 8.6.1. IT & Telecommunication Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.7. Government and defense
- 8.7.1. Government and Defense Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.8. Manufacturing
- 8.8.1. Manufacturing Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.9. Energy & Utility
- 8.9.1. Energy & Utility Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
- 8.10. Others
- 8.10.1. Others Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
Chapter 9. AI Code Tools Market: Regional Estimates & Trend Analysis
- 9.1. AI Code Tools Market Share, By Region, 2023 & 2030 (USD Million)
- 9.2. North America
- 9.2.1. North America AI Code Tools Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 9.2.2. U.S.
- 9.2.2.1. U.S. AI Code Tools Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 9.2.3. Canada
- 9.2.3.1. Canada AI Code Tools Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 9.2.4. Mexico
- 9.2.4.1. Mexico AI Code Tools Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 9.3. Europe
- 9.3.1. Europe AI Code Tools Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 9.3.2. UK
- 9.3.2.1. UK AI Code Tools Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 9.3.3. Germany
- 9.3.3.1. Germany AI Code Tools Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 9.3.4. France
- 9.3.4.1. France AI Code Tools Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 9.4. Asia Pacific
- 9.4.1. Asia Pacific AI Code Tools Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 9.4.2. China
- 9.4.2.1. China AI Code Tools Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 9.4.3. Japan
- 9.4.3.1. Japan AI Code Tools Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 9.4.4. India
- 9.4.4.1. India AI Code Tools Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 9.4.5. Australia
- 9.4.5.1. Australia AI Code Tools Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 9.4.6. South Korea
- 9.4.6.1. South Korea AI Code Tools Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 9.5. Latin America
- 9.5.1. Latin America AI Code Tools Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 9.5.2. Brazil
- 9.5.2.1. Brazil AI Code Tools Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 9.6. Middle East and Africa
- 9.6.1. Middle East and Africa AI Code Tools Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 9.6.2. UAE
- 9.6.2.1. UAE AI Code Tools Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 9.6.3. South Africa
- 9.6.3.1. South Africa AI Code Tools Market Estimates and Forecasts, 2017 - 2030 (USD Million)
- 9.6.4. KSA
- 9.6.4.1. KSA AI Code Tools Market Estimates and Forecasts, 2017 - 2030 (USD Million)
Chapter 10. Competitive Landscape
- 10.1. Recent Developments & Impact Analysis by Key Market Participants
- 10.2. Company Categorization
- 10.3. Company Market Positioning
- 10.4. Company Market Share Analysis
- 10.5. Company Heat Map Analysis
- 10.6. Strategy Mapping
- 10.6.1. Expansion
- 10.6.2. Mergers & Acquisition
- 10.6.3. Partnerships & Collaborations
- 10.6.4. New Product Launches
- 10.6.5. Research And Development
- 10.7. Company Profiles
- 10.7.1. Microsoft
- 10.7.1.1. Participant's Overview
- 10.7.1.2. Financial Performance
- 10.7.1.3. Product Benchmarking
- 10.7.1.4. Recent Developments
- 10.7.2. International Business Machines Corporation
- 10.7.2.1. Participant's Overview
- 10.7.2.2. Financial Performance
- 10.7.2.3. Product Benchmarking
- 10.7.2.4. Recent Developments
- 10.7.3. Google LLC
- 10.7.3.1. Participant's Overview
- 10.7.3.2. Financial Performance
- 10.7.3.3. Product Benchmarking
- 10.7.3.4. Recent Developments
- 10.7.4. Amazon Web Services, Inc.
- 10.7.4.1. Participant's Overview
- 10.7.4.2. Financial Performance
- 10.7.4.3. Product Benchmarking
- 10.7.4.4. Recent Developments
- 10.7.5. Salesforce, Inc.
- 10.7.5.1. Participant's Overview
- 10.7.5.2. Financial Performance
- 10.7.5.3. Product Benchmarking
- 10.7.5.4. Recent Developments
- 10.7.6. Meta
- 10.7.6.1. Participant's Overview
- 10.7.6.2. Financial Performance
- 10.7.6.3. Product Benchmarking
- 10.7.6.4. Recent Developments
- 10.7.7. OpenAI
- 10.7.7.1. Participant's Overview
- 10.7.7.2. Financial Performance
- 10.7.7.3. Product Benchmarking
- 10.7.7.4. Recent Developments
- 10.7.8. Tabnine Ltd.
- 10.7.8.1. Participant's Overview
- 10.7.8.2. Financial Performance
- 10.7.8.3. Product Benchmarking
- 10.7.8.4. Recent Developments
- 10.7.9. REPLIT, INC.
- 10.7.9.1. Participant's Overview
- 10.7.9.2. Financial Performance
- 10.7.9.3. Product Benchmarking
- 10.7.9.4. Recent Developments
- 10.7.10. Sourcegraph, Inc.
- 10.7.10.1. Participant's Overview
- 10.7.10.2. Financial Performance
- 10.7.10.3. Product Benchmarking
- 10.7.10.4. Recent Developments