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코딩 분야 생성형 AI 시장 분석 및 예측(-2034년) : 유형, 제품, 서비스, 기술, 구성 요소, 용도, 배포, 최종 사용자, 기능, 솔루션
Generative AI in Coding Market Analysis and Forecast to 2034: Type, Product, Services, Technology, Component, Application, Deployment, End User, Functionality, Solutions
상품코드 : 1762136
리서치사 : Global Insight Services
발행일 : 2025년 07월
페이지 정보 : 영문 322 Pages
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한글목차

코딩 분야 생성형 AI 시장은 2024년의 460만 달러에서 2034년까지는 6,090만 달러로 확대되며, 약 31.8%의 연평균 복합 성장률(CAGR)을 나타낼 전망입니다. 학습 모델을 활용하여 코드를 생성하고 알고리즘을 최적화하고 디버깅을 지원함으로써 생산성을 향상시키고 시장 출시까지의 시간을 단축합니다.

업계 개요

AI 개발 툴과 구성 요소에 대한 세계의 관세가 코딩 분야 생성형 AI 시장에 큰 영향을 주고 있습니다. 수출 규제하에있는 중국은 자급 자족의 AI 생태계를 개발하기 위한 노력을 강화하고 있으며, 토착의 혁신에 주력하고 있습니다. 그 전략적 위치에 의해 강조되어 공급망의 안정성을 유지하기 위해 신중한 네비게이션이 필요합니다. 하지만 지정학적 불확실성이 과제가 되고 있습니다. 2035년까지 중동 분쟁이 에너지 가격과 제조 비용에 영향을 미칠 수 있으며 시장의 진화는 전략적 파트너십과 공급망의 회복력에 달려 있습니다.

시장 세분화
유형 코드 생성, 코드 최적화, 코드 번역
제품 소프트웨어 도구, 통합 개발 환경(IDE), 플러그인, 라이브러리
서비스 컨설팅, 통합 서비스, 지원 및 유지보수, 훈련 및 교육
기술 머신러닝, 자연 언어 처리, 딥러닝, 강화 학습
구성 요소 알고리즘, 데이터 세트, API, 사용자 인터페이스
용도 웹 개발, 모바일 애플리케이션 개발, 기업 소프트웨어 개발, 임베디드 시스템
배포 클라우드 기반, 온프레미스, 하이브리드
최종 사용자 개인 개발자, 중소기업, 대기업, IT 및 통신, 은행, 금융서비스 및 보험(BFSI), 의료, 소매
기능 자동 코드 검토, 버그 감지 및 수정, 코드 리팩토링
솔루션 맞춤형 개발 솔루션, 사전 구축 솔루션

시장 개요 :

코딩 분야 생성형 AI 시장은 주로 소프트웨어 개발의 자동화와 효율화에 대한 수요가 높아짐에 따라 견조한 확대를 이루고 있습니다. 이 부문의 우위성은 코딩 작업을 합리화하고 정밀도를 향상시키는 고급 AI 모델의 통합에 기인합니다. 이 도구는 머신러닝 알고리즘을 활용하여 잠재적 문제를 식별하고 개선을 제안함으로써 코드의 신뢰성을 높입니다. 실시간 지원을 용이하게 하고 개발자의 생산성을 높여가고 있습니다.

충돌 개요 :

코딩 분야 생성형 AI 시장은 다양한 도입 모델의 분포를 특징으로 하며, 클라우드 기반 솔루션이 확장성과 통합의 용이함에 따라 각광을 받고 있습니다. 북미는 여전히 도입의 최전선에 있습니다만, 유럽과 아시아태평양은 AI의 연구개발에 대한 투자 늘어나고 성장이 가속하고 있습니다. 기술 혁신의 급속한 페이스와 Microsoft, Google, OpenAI 등 주요 기업의 전략적 작전에 의해 형성되고 있습니다. 규정 준수 요건에 영향을 미치고 있습니다.향후, 생성형 AI의 기존 소프트웨어 개발 프로세스에의 통합은 생산성과 혁신에 혁명을 가져올 것으로 기대되고 있습니다.

주요 동향과 촉진요인 :

코딩 분야 생성형 AI 시장은 몇 가지 주요 동향과 촉진요인에 따라 변혁기를 맞이하고 있습니다. 게다가 생산성과 혁신성이 향상되고 있습니다. 또 하나의 큰 동향은 휴먼 에러를 최소화하고 효율을 높이려고 하는 기업의 움직임에 따라 코딩의 자동화에 대한 수요가 높아지고 있는 것입니다. 품질 보증에 혁명을 일으키고, 오류가 없는 견고한 소프트웨어 제품을 보증하고 있습니다. 또한 클라우드 컴퓨팅과 빅데이터 분석의 급증은 조직이 의사결정과 업무 효율을 강화하기 위해 이러한 기술을 활용하려고 노력하고 있기 때문에 생성형 AI의 채용을 촉진하고 있습니다.

억제요인과 도전 :

코딩 분야 생성형 AI 시장은 몇 가지 현저한 억제요인과 과제에 직면하고 있습니다. 생성형 AI 기술의 원활한 채택을 방해하고 있습니다. 이러한 고급 시스템을 도입하는 데 필요한 고액의 초기 투자는 중소기업에 있어서는 법외이며, 보급을 제한하고 있습니다. 마지막으로 AI의 알고리즘이 편향되면 의도치 않은 해로운 결과를 초래할 수 있으므로 엄격한 감독과 거버넌스가 필요합니다.

목차

제1장 코딩 분야 생성형 AI 시장 개요

제2장 주요 요약

제3장 시장에 관한 중요 인사이트

제4장 코딩 분야 생성형 AI 시장 전망

제5장 코딩 분야 생성형 AI 시장 전략

제6장 코딩 분야 생성형 AI 시장 규모

제7장 코딩 분야 생성형 AI 시장 : 유형별

제8장 코딩 분야 생성형 AI 시장 : 제품별

제9장 코딩 분야 생성형 AI 시장 : 서비스별

제10장 코딩 분야 생성형 AI 시장 : 기술별

제11장 코딩 분야 생성형 AI 시장 : 구성 요소별

제12장 코딩 분야 생성형 AI 시장 : 용도별

제13장 코딩 분야 생성형 AI 시장 : 배포별

제14장 코딩 분야 생성형 AI 시장 : 최종 사용자별

제15장 코딩 분야 생성형 AI 시장 : 기능별

제16장 코딩 분야 생성형 AI 시장 : 솔루션별

제17장 코딩 분야 생성형 AI 시장 : 지역별

제18장 경쟁 구도

제19장 기업 프로파일

KTH
영문 목차

영문목차

Generative AI in Coding Market is anticipated to expand from $4.6 million in 2024 to $60.9 million by 2034, growing at a CAGR of approximately 31.8%. Generative AI in Coding Market encompasses AI-driven tools that automate and enhance software development processes. These solutions leverage machine learning models to generate code, optimize algorithms, and assist in debugging, thereby increasing productivity and reducing time-to-market. The market is experiencing growth due to the rising demand for efficient coding solutions, the proliferation of AI technologies, and the need for rapid software development in various industries.

Industry Overview:

Global tariffs on AI development tools and components are significantly influencing the Generative AI in Coding Market. In Japan and South Korea, dependency on foreign semiconductors is prompting increased investment in local R&D to mitigate tariff impacts. China, under export controls, is intensifying efforts to develop self-sufficient AI ecosystems, focusing on indigenous innovation. Taiwan's pivotal role in semiconductor manufacturing is underscored by its strategic position amidst US-China trade tensions, necessitating careful navigation to maintain supply chain stability. The global market for generative AI in coding is robust, driven by demand for automation and efficiency, yet challenged by geopolitical uncertainties. By 2035, the market's evolution will hinge on strategic partnerships and supply chain resilience, with Middle East conflicts potentially affecting energy prices and manufacturing costs.

Market Segmentation
TypeCode Generation, Code Optimization, Code Translation
ProductSoftware Tools, Integrated Development Environments (IDEs), Plugins, Libraries
ServicesConsulting, Integration Services, Support and Maintenance, Training and Education
TechnologyMachine Learning, Natural Language Processing, Deep Learning, Reinforcement Learning
ComponentAlgorithms, Datasets, APIs, User Interfaces
ApplicationWeb Development, Mobile Application Development, Enterprise Software Development, Embedded Systems
DeploymentCloud-Based, On-Premises, Hybrid
End UserIndividual Developers, Small and Medium Enterprises, Large Enterprises, IT and Telecom, BFSI, Healthcare, Retail
FunctionalityAutomated Code Review, Bug Detection and Fixing, Code Refactoring
SolutionsCustom Development Solutions, Pre-Built Solutions

Market Overview:

The Generative AI in Coding Market is experiencing robust expansion, primarily driven by the increasing demand for automation and efficiency in software development. The software development tools segment is the leading segment, owing to its pivotal role in enhancing code generation and reducing development time. This segment's dominance is attributed to the integration of advanced AI models that streamline coding tasks and improve accuracy. Emerging sub-segments, such as AI-powered code review and bug detection tools, are gaining traction and promise to transform quality assurance processes. These tools leverage machine learning algorithms to identify potential issues and suggest improvements, thereby enhancing code reliability. The integration of generative AI into collaborative coding platforms is also on the rise, facilitating real-time assistance and boosting developer productivity. As organizations increasingly adopt DevOps practices, the demand for AI-driven coding solutions is expected to surge, further solidifying the market's growth trajectory.

Geographical Overview:

The generative AI in coding market is experiencing robust growth across various regions, each with unique characteristics. North America leads the market due to its strong technological infrastructure and substantial investments in AI research. The region's innovative ecosystem and collaboration between tech giants and startups drive advancements in generative AI coding tools. In Europe, the market is expanding rapidly, supported by government initiatives and funding for AI development. The region's focus on ethical AI and regulatory frameworks enhances trust and adoption of generative AI solutions in coding. This creates a conducive environment for growth. Asia Pacific is witnessing a surge in demand for generative AI in coding, propelled by rapid digital transformation and increasing investments in AI technologies. The region's vibrant tech landscape and large developer community contribute to the market's dynamic expansion. Latin America shows promising growth potential as awareness and adoption of generative AI in coding increase. Investments in tech infrastructure and education are driving the region's market development. In the Middle East & Africa, the market is emerging, with growing recognition of AI's role in economic diversification and innovation. Regional initiatives and partnerships are beginning to foster a supportive ecosystem for generative AI in coding.

Competition Overview:

Generative AI in the coding market is characterized by a diverse distribution of deployment models, with cloud-based solutions gaining prominence due to their scalability and ease of integration. On-premise models maintain a significant presence, particularly in industries with stringent data privacy requirements. The hybrid approach is emerging as a preferred choice for organizations seeking a balance between control and flexibility. North America remains at the forefront of adoption, while Europe and Asia-Pacific are witnessing accelerated growth, driven by increased investments in AI research and development. Leading technology firms are actively enhancing their offerings through strategic partnerships and acquisitions to capture a larger share of this evolving market. Competitive dynamics are shaped by the rapid pace of technological innovation and the strategic maneuvers of key players such as Microsoft, Google, and OpenAI. These companies are investing heavily in research to enhance the capabilities of AI-driven coding platforms. Regulatory frameworks, particularly in Europe with GDPR and AI-specific legislations, are influencing market strategies and compliance requirements. Looking ahead, the integration of generative AI with existing software development processes is expected to revolutionize productivity and innovation. Although challenges such as ethical considerations and the need for skilled AI practitioners persist, the market is poised for substantial growth, driven by advancements in natural language processing and machine learning algorithms.

Recent Developments:

The Generative AI in Coding Market has experienced noteworthy developments over the past three months. Microsoft has unveiled a new AI-powered coding assistant, Copilot X, which integrates seamlessly with its Visual Studio Code platform, enhancing coding efficiency and accuracy. In a strategic move, Google has announced a partnership with GitHub to incorporate its generative AI capabilities into GitHub's Copilot, aiming to revolutionize coding practices by offering smarter code suggestions. OpenAI has introduced an upgraded version of its Codex model, which promises improved contextual understanding and code generation capabilities, further pushing the boundaries of AI-assisted coding. In the realm of mergers and acquisitions, IBM has acquired a promising AI startup specializing in generative coding solutions, seeking to bolster its AI offerings in the enterprise sector. Lastly, Amazon Web Services has launched a new suite of AI tools designed to assist developers in generating code, thereby streamlining the software development process and reducing time-to-market for new applications.

Key Companies:

Open AI, Deep Mind Technologies, Hugging Face, Git Hub Copilot, Tab Nine, Repl.it, Codex AI, Cohere, Spell, Snyk, Jet Brains, Kite, Floyd Hub, Anaconda, Weights & Biases, Algorithmia, Runway ML, C3.ai, Data Robot, H2 O.ai

Key Trends and Drivers:

The Generative AI in Coding Market is experiencing a transformative phase, driven by several key trends and drivers. The first major trend is the integration of AI tools in software development, which is streamlining coding processes and reducing time to market. This is enabling developers to focus on more complex tasks, enhancing productivity and innovation. Another significant trend is the growing demand for automation in coding, as businesses seek to minimize human error and increase efficiency. This is particularly evident in sectors such as finance and healthcare, where precision is paramount. Additionally, the rise of AI-powered code review tools is revolutionizing quality assurance, ensuring robust and error-free software products. A primary driver is the increasing complexity of software systems, which necessitates advanced tools for code generation and management. Companies are investing in AI solutions to maintain competitive advantage, as these tools offer scalability and adaptability. Furthermore, the surge in cloud computing and big data analytics is propelling the adoption of generative AI, as organizations strive to harness these technologies for enhanced decision-making and operational efficiency. As a result, the market is poised for substantial growth, presenting lucrative opportunities for stakeholders.

Restraints and Challenges:

The Generative AI in Coding Market faces several notable restraints and challenges. A significant challenge is the scarcity of skilled professionals who can effectively integrate AI solutions into existing coding frameworks. This skills gap hinders the seamless adoption of generative AI technologies. Furthermore, concerns over data privacy and security present substantial obstacles, as companies are wary of potential breaches when employing AI-driven coding solutions. Additionally, the high initial investment required for implementing these advanced systems can be prohibitive for small and medium-sized enterprises, limiting widespread adoption. Another restraint is the rapid pace of technological change, which can render current AI models obsolete quickly, necessitating continual updates and adaptations. Finally, there is a challenge in ensuring the ethical use of AI in coding, as biases in AI algorithms can lead to unintended and potentially harmful consequences, necessitating rigorous oversight and governance. These factors collectively impede the market's growth trajectory.

Research Scope:

Our research scope provides comprehensive market data, insights, and analysis across a variety of critical areas. We cover Local Market Analysis, assessing consumer demographics, purchasing behaviors, and market size within specific regions to identify growth opportunities. Our Local Competition Review offers a detailed evaluation of competitors, including their strengths, weaknesses, and market positioning. We also conduct Local Regulatory Reviews to ensure businesses comply with relevant laws and regulations. Industry Analysis provides an in-depth look at market dynamics, key players, and trends. Additionally, we offer Cross-Segmental Analysis to identify synergies between different market segments, as well as Production-Consumption and Demand-Supply Analysis to optimize supply chain efficiency. Our Import-Export Analysis helps businesses navigate global trade environments by evaluating trade flows and policies. These insights empower clients to make informed strategic decisions, mitigate risks, and capitalize on market opportunities.

TABLE OF CONTENTS

1: Generative AI in Coding Market Overview

2: Executive Summary

3: Premium Insights on the Market

4: Generative AI in Coding Market Outlook

5: Generative AI in Coding Generative AI in Coding Market Strategy

6: Generative AI in Coding Market Size

7: Generative AI in Coding Market, by Type

8: Generative AI in Coding Market, by Product

9: Generative AI in Coding Market, by Services

10: Generative AI in Coding Market, by Technology

11: Generative AI in Coding Market, by Component

12: Generative AI in Coding Market, by Application

13: Generative AI in Coding Market, by Deployment

14: Generative AI in Coding Market, by End User

15: Generative AI in Coding Market, by Functionality

16: Generative AI in Coding Market, by Solutions

17: Generative AI in Coding Market, by Region

18: Competitive Landscape

19: Company Profiles

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