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From USD 4.23 billion in 2023, the market for AI code tools is expected to reach USD 12.16 billion by 2030, representing a CAGR of 25.0% between 2023 and 2030.
Rapid progress in generative Al is transforming software development, which is one of the main drivers of the AI code tools market. Because of the difficulties inherent in performing complex coding jobs, these instruments are crucial for boosting developers' efficiency and output. The growth of the artificial intelligence (AI) code tools market is driven by the need to aid developers in completing difficult coding jobs, as well as to increase scalability and facilitate a transformative shift in the responsibilities of software engineers.
The revolutionary effect that AI coding tools, especially generative AI coding tools, have on software development is a major driver in their widespread use and quick development. These resources bring in a new era of AI-assisted engineering workflows, making it possible for programmers to write code faster and more effectively than ever before. Developers now have access to code ideas and even full functionality through the use of natural language prompts and preexisting code thanks to the advent of generative AI coding tools. These developments are quickly transforming the coding landscape.
One strong motivator for the widespread use of AI code tools is the substantial help they provide software engineers with complex coding chores. AI coding tools can facilitate code translation, which is especially helpful when working with legacy source code or several programming languages. A research at the 2021 International Conference on Intelligent User Interfaces demonstrated how generative AI gives developers a skeletal foundation to transform source code into Python. Faster coding was achieved with the help of technologies like GitHub Copilot, which were highlighted in a 2022 study published in the Proceedings of the Association for Computing Machinery on Programming Languages (PACMPL).
The software industry is severely hampered by its reliance on artificial intelligence (AI) code tools. While these AI-driven tools enhance efficiency and productivity, they can unwittingly limit developers' creative problem-solving ability and critical thinking. Developers are often drawn to AI code tools because of their convenience and the ability to speed coding chores. However, this simplicity can lead to a situation where engineers become unduly dependent on AI-generated code suggestions. Developers that rely too heavily on automation may stop engaging in manual coding, stop thinking creatively about how to solve problems, and take a backseat during the development process. Instead of tackling coding problems head-on and coming up with their own unique solutions, developers may choose for the convenience of AI technologies. Over-reliance on technology has the potential to stifle innovative problem-solving and the growth of essential software engineering skills.
The arrival of Prompt Engineering presents a major opening in the field of software engineering. This method treats efficient interaction with AI systems as a sort of meta-programming, recognizing its significance. In order for AI systems to generate code that is in line with the developer's goals, the developer must communicate their intentions to the AI system using well-structured prompts. Prompt Engineering and AI and Human Collaboration provide a solution to effectively navigate the future of software development by creating a more efficient, rewarding, and collaborative environment for developers, all while increasing software quality and speed in the face of increasing App Development workloads and the need for improved productivity.
Report Coverage
Global AI Code Tools research report categorizes the market for global based on various segments and regions, forecasts revenue growth, and analyzes trends in each submarket. Global AI Code Tools report analyses the key growth drivers, opportunities, and challenges influencing the global market. Recent market developments and AI Code Tools competitive strategies such as expansion, product launch and development, partnership, merger, and acquisition have been included to draw the competitive landscape in the market. The report strategically identifies and profiles the key AI Code Tools market players and analyses their core competencies in each global market sub-segments.
Key Points Covered in the Report
Competitive Environment:
The research provides an accurate study of the major organisations and companies operating in the global AI Code Tools market, along with a comparative evaluation based on their product portfolios, corporate summaries, geographic reach, business plans, AI Code Tools market shares in specific segments, and SWOT analyses. A detailed analysis of the firms' recent news and developments, such as product development, inventions, joint ventures, partnerships, mergers and acquisitions, strategic alliances, and other activities, is also included in the study. This makes it possible to assess the level of market competition as a whole.
List of Major Market Participants
IBM (US), Microsoft (US), Google (US), AWS (US), Salesforce (US), Meta (US), OpenAI (US), Tabnine (Israel), Replit (US), Sourcegraph (US), Moolya (India), Synk (US), CircleCI (US), JetBrains (Czech Republic), Adacore (France), WingWare (US), Datadog (US), Lightning AI (US), Kodezi (US), Sourcery (England), CodeWP (US), SQLAI.ai (Germany) , SinCode AB (Sweden), Seek AI (US), Enzyme (US), Assistive.ai (Germany), CodiumAI (Israel), Mutable AI (US), Judini (US) and Safurai (Italy).
Primary Target Market
Market Segment:
This study forecasts global, regional, and country revenue from 2019 to 2030. INFINITIVE DATA EXPERT has segmented the global AI Code Tools market based on the below-mentioned segments:
Global AI Code Tools Market, By Type
Tools
Services
Global AI Code Tools market, By Application
Data Science & Machine Learning
Cloud Services & DevOps
Web Development
Mobile App Development
Gaming Development
Embedded Systems
Other Applications
Global AI Code Tools Market, By Vertical
BFSI
IT&ITeS
Healthcare & Life Sciences
Manufacturing
Retail & eCommerce
Telecommunications
Government & Public Sector
Media & Entertainment
Others (Education, Automotive, and Energy & Utilities)
Global AI Code Tools market, Regional Analysis
Rapid progress in generative Al is transforming software development, which is one of the main drivers of the AI code tools market. Because of the difficulties inherent in performing complex coding jobs, these instruments are crucial for boosting developers' efficiency and output. The growth of the artificial intelligence (AI) code tools market is driven by the need to aid developers in completing difficult coding jobs, as well as to increase scalability and facilitate a transformative shift in the responsibilities of software engineers.
The revolutionary effect that AI coding tools, especially generative AI coding tools, have on software development is a major driver in their widespread use and quick development. These resources bring in a new era of AI-assisted engineering workflows, making it possible for programmers to write code faster and more effectively than ever before. Developers now have access to code ideas and even full functionality through the use of natural language prompts and preexisting code thanks to the advent of generative AI coding tools. These developments are quickly transforming the coding landscape.
One strong motivator for the widespread use of AI code tools is the substantial help they provide software engineers with complex coding chores. AI coding tools can facilitate code translation, which is especially helpful when working with legacy source code or several programming languages. A research at the 2021 International Conference on Intelligent User Interfaces demonstrated how generative AI gives developers a skeletal foundation to transform source code into Python. Faster coding was achieved with the help of technologies like GitHub Copilot, which were highlighted in a 2022 study published in the Proceedings of the Association for Computing Machinery on Programming Languages (PACMPL).
The software industry is severely hampered by its reliance on artificial intelligence (AI) code tools. While these AI-driven tools enhance efficiency and productivity, they can unwittingly limit developers' creative problem-solving ability and critical thinking. Developers are often drawn to AI code tools because of their convenience and the ability to speed coding chores. However, this simplicity can lead to a situation where engineers become unduly dependent on AI-generated code suggestions. Developers that rely too heavily on automation may stop engaging in manual coding, stop thinking creatively about how to solve problems, and take a backseat during the development process. Instead of tackling coding problems head-on and coming up with their own unique solutions, developers may choose for the convenience of AI technologies. Over-reliance on technology has the potential to stifle innovative problem-solving and the growth of essential software engineering skills.
The arrival of Prompt Engineering presents a major opening in the field of software engineering. This method treats efficient interaction with AI systems as a sort of meta-programming, recognizing its significance. In order for AI systems to generate code that is in line with the developer's goals, the developer must communicate their intentions to the AI system using well-structured prompts. Prompt Engineering and AI and Human Collaboration provide a solution to effectively navigate the future of software development by creating a more efficient, rewarding, and collaborative environment for developers, all while increasing software quality and speed in the face of increasing App Development workloads and the need for improved productivity.
Report Coverage
Global AI Code Tools research report categorizes the market for global based on various segments and regions, forecasts revenue growth, and analyzes trends in each submarket. Global AI Code Tools report analyses the key growth drivers, opportunities, and challenges influencing the global market. Recent market developments and AI Code Tools competitive strategies such as expansion, product launch and development, partnership, merger, and acquisition have been included to draw the competitive landscape in the market. The report strategically identifies and profiles the key AI Code Tools market players and analyses their core competencies in each global market sub-segments.
| REPORT ATTRIBUTES | DETAILS |
|---|---|
| Study Period | 2017-2030 |
| Base Year | 2022 |
| Forecast Period | 2022-2030 |
| Historical Period | 2017-2021 |
| Unit | Value (USD Billion) |
| Key Companies Profiled | IBM (US), Microsoft (US), Google (US), AWS (US), Salesforce (US), Meta (US), OpenAI (US), Tabnine (Israel), Replit (US), Sourcegraph (US), Moolya (India), Synk (US), CircleCI (US), JetBrains (Czech Republic), Adacore (France), WingWare (US), Datadog (US), Lightning AI (US), Kodezi (US), Sourcery (England), CodeWP (US), SQLAI.ai (Germany) , SinCode AB (Sweden), Seek AI (US), Enzyme (US), Assistive.ai (Germany), CodiumAI (Israel), Mutable AI (US), Judini (US) and Safurai (Italy). |
| Segments Covered | • By Product |
| Customization Scope | Free report customization (equivalent to up to 3 analyst working days) with purchase. Addition or alteration to country, regional & segment scope |
Key Points Covered in the Report
- Market Revenue of AI Code Tools Market from 2021 to 2030.
- Market Forecast for AI Code Tools Market from 2021 to 2030.
- Regional Market Share and Revenue from 2021 to 2030.
- Country Market share within region from 2021 to 2030.
- Key Type and Application Revenue and forecast.
- Company Market Share Analysis, AI Code Tools competitive scenario, ranking, and detailed company
profiles. - Market driver, restraints, and detailed COVID-19 impact on AI Code Tools
Market
Competitive Environment:
The research provides an accurate study of the major organisations and companies operating in the global AI Code Tools market, along with a comparative evaluation based on their product portfolios, corporate summaries, geographic reach, business plans, AI Code Tools market shares in specific segments, and SWOT analyses. A detailed analysis of the firms' recent news and developments, such as product development, inventions, joint ventures, partnerships, mergers and acquisitions, strategic alliances, and other activities, is also included in the study. This makes it possible to assess the level of market competition as a whole.
List of Major Market Participants
IBM (US), Microsoft (US), Google (US), AWS (US), Salesforce (US), Meta (US), OpenAI (US), Tabnine (Israel), Replit (US), Sourcegraph (US), Moolya (India), Synk (US), CircleCI (US), JetBrains (Czech Republic), Adacore (France), WingWare (US), Datadog (US), Lightning AI (US), Kodezi (US), Sourcery (England), CodeWP (US), SQLAI.ai (Germany) , SinCode AB (Sweden), Seek AI (US), Enzyme (US), Assistive.ai (Germany), CodiumAI (Israel), Mutable AI (US), Judini (US) and Safurai (Italy).
Primary Target Market
- Market Players of AI Code Tools
- Investors
- End-users
- Government Authorities
- Consulting And Research Firm
- Venture capitalists
- Third-party knowledge providers
- Value-Added Resellers (VARs)
Market Segment:
This study forecasts global, regional, and country revenue from 2019 to 2030. INFINITIVE DATA EXPERT has segmented the global AI Code Tools market based on the below-mentioned segments:
Global AI Code Tools Market, By Type
Tools
Services
Global AI Code Tools market, By Application
Data Science & Machine Learning
Cloud Services & DevOps
Web Development
Mobile App Development
Gaming Development
Embedded Systems
Other Applications
Global AI Code Tools Market, By Vertical
BFSI
IT&ITeS
Healthcare & Life Sciences
Manufacturing
Retail & eCommerce
Telecommunications
Government & Public Sector
Media & Entertainment
Others (Education, Automotive, and Energy & Utilities)
Global AI Code Tools market, Regional Analysis
- Europe: Germany, Uk, France, Italy, Spain, Russia, Rest of Europe
- The Asia Pacific: China,Japan,India,South Korea,Australia,Rest of Asia Pacific
- South America: Brazil, Argentina, Rest of South America
- Middle East & Africa: UAE, Saudi Arabia, Qatar, South Africa, Rest of Middle East & Africa
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