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Artificial Intelligence (AI) Code Tools Global Market Analysis, Trends, Growth, Research And Forecast 2033
Artificial Intelligence (AI) Code Tools Global Market
The artificial intelligence (AI) code tools market size is expected to see exponential growth in the next few years. It will grow to $14.63 billion in 2028 at a compound annual growth rate (CAGR) of 23.8%. The growth in the forecast period can be attributed to expansion of AI in code generation and auto-completion, adoption of AI for code security and vulnerability assessment, rising demand for AI-based code review and quality assurance, integration of AI into devops practices, increasing focus on explainability and interpretability of AI-generated code. Major trends in the forecast period include AI-driven code generation, enhanced code review and optimization, AI-powered testing and debugging, AI-enabled collaboration platforms.
Market Overview -
Artificial intelligence (AI) code tools are software tools that use artificial intelligence to support and enhance the software development process by leveraging artificial intelligence (AI) and machine learning (ML) algorithms to streamline and enhance the coding process. These tools can write code, evaluate code for consistency and readability, suggest code improvements, detect potential bugs, provide relevant documentation, and automate routine coding tasks.
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Role Of AI Code Tools In Accelerating Digital Transformation
Growing digital transformation is expected to propel the growth of the artificial intelligence (AI) code tools market going forward. Digital transformation refers to the process of utilizing digital technologies to fundamentally change how businesses and organizations operate, interact with customers, and deliver value. AI code tools help in digital transformation by streamlining software development processes, expediting innovation, and allowing enterprises to adapt to changing technological environments more quickly. For instance, in May 2022, according to a survey of 13,500 firms by the European Investment Bank, a Luxembourg-based European Union's non-profit development bank that offers long-term project funding, around 58% of American companies reported taking steps to become increasingly digital, compared to 46% of EU businesses. Additionally, the US has a greater percentage of enterprises employing modern digital technologies (66% vs. 61% in the EU). Therefore, growing digital transformation is driving the artificial intelligence (AI) code tools market.
Competitive Landscape -
Major companies operating in the artificial intelligence (ai) code tools market report are Google LLC, Microsoft Corporation, Meta Platforms Inc, Amazon Web Services Inc., The International Business Machines Corporation (IBM), Salesforce Inc., Datadog Inc., JetBrains s.r.o., Snyk, CircleCI, OpenAI, Replit, Moolya, AdaCore, Sourcegraph, Tabnine, Wing IDE (Wingware), Lightning AI, Kodezi, CodeWP, SinCode AB, Enzyme, CodiumAI, MutableAI, Sourcery.AI, Seek AI, SQLAI.ai, Assistiv.ai, Safurai
Exploring AI Code Assistants For Enhanced Software Engineering
Major companies operating in the artificial intelligence (AI) code tools market are focused on developing innovative products with advanced technological solutions, such as AI code assistants, to strengthen their position in the market. An AI coding assistant is a complex software tool that uses artificial intelligence (AI) technologies, such as large-language models (LLMs), to help coders write, modify, debug, test, and document code. For instance, in October 2023, International Business Machines Corporation, a US-based technology corporation, launched Watsonx Code Assistant. Watsonx Code Assistant is a generative artificial intelligence assistant that uses natural language prompts to help corporate developers and information technology operators code faster and more precisely. IBM Watsonx Code Assistant is a tool that uses generative AI to speed up code production and improve developer productivity. This application generates code ideas and translations based on natural language instructions, therefore optimizing the software development process.
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Key Segments -
The artificial intelligence (ai) code tools market covered in this report is segmented -
1) By Offering: Tools, Services
2) By Technology: Machine Learning, Natural Language Processing, Generative Artificial Intelligence
3) By Application: Data Science And Machine Learning, Cloud Services And Devops, Web Development, Mobile App Development, Gaming Development, Embedded Systems, Other Applications
4) By Vertical: Banking Financial Services And Insurance (BFSI), Information Technology And Information Technology Enabled Services, Healthcare And Life Sciences, Manufacturing, Retail And Ecommerce, Telecommunications, Government And Public Sector, Media And Entertainment, Other Verticals
Key highlights covered in the report -
1. Detailed market size forecast and historical data analysis
2. Key drivers influencing market growth
3. Identification of upcoming trends and potential opportunities in the market
4. Analysis of major players strategies, to understand competitive dynamics and market positioning
5. Evaluation of regional dynamics
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