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市场调查报告书
商品编码
1574143

生成式人工智慧 (AI) 编码市场：2024 年至 2029 年预测

Generative Artificial Intelligence (AI) in Coding Market - Forecasts from 2024 to 2029
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 144 Pages | 商品交期: 最快1-2个工作天内

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简介目录

生成人工智慧 (AI) 编码市场预计将以 25.54% 的复合年增长率成长，到 2029 年，市场规模将从 2024 年的 35,529,000 美元达到 110,795,000 美元。

生成式人工智慧 (AI) 编码的兴起是由机器学习 (ML) 和人工智慧 (AI) 技术融入软体开发过程所推动的。借助这项技术，开发人员可以透过自动化和改进编码过程的各个方面来提高效率。这项进步使得传统的编码任务减少了手动操作，从而缩短了开发週期并提高了生产力。需要生成式人工智慧来处理机器学习、深度学习和资料分析等软体应用程式中的复杂编码。

将生成式人工智慧纳入整合开发环境 (IDE) 的倡议正在加速，透过在编码工作区中提供人工智慧生成的程式码提案和解决方案来改善编码环境并提高开发人员的工作效率。这项进步代表了人工智慧的力量与传统编码技术的结合，从而带来了更有效率和协作的开发过程。 Microsoft 的 Visual Studio IntelliCode 是人工智慧驱动的扩充功能的一个范例，它改善了使用 Visual Studio IDE 的开发人员的编码体验。透过利用人工智慧技术，此类创新可以增强和加速软体开发。

此外，越来越多的研究人员正在探索人工智慧帮助自动化各种程式设计任务的潜力，例如产生程式码、提供编码问题的解决方案以及提高程式设计效率。透过结合机器学习和人工智慧，编码研究有望建立先进的设备，有可能提高开发人员的生产力并简化创建有效软体的过程。这一领域的变革有望彻底改变程式码的开发、测试和优化方式。

产生人工智慧 (AI) 编码市场驱动因素：

  • 对人工智慧生成内容的需求不断增长预计将推动市场成长

对人工智慧生成内容的需求不断增长正在推动生成人工智慧市场的成长。这在行销和广告等领域尤其重要，在这些领域，多元化和客製化是吸引消费者的基础。在软体开发中，生成式人工智慧使用现有程式码的大型资料集，机器学习演算法会分析这些程式码的模式和结构。这些知识允许人工智慧模型创建全新的程式码或向开发人员提出提案。我们涵盖许多领域，从需要快速创建近乎准确的程式码的 IT 和软体公司，到需要行销文案的机构。

产生人工智慧 (AI) 编码市场的地理前景

  • 北美地区将在预测期内经历快速成长

这种快速成长是由许多关键因素推动的，包括充满活力的Start-Ups环境、技术进步、分配给人工智慧研发的大量资金以及强大的创新环境。由于该地区独特的市场动态，生成式人工智慧设备被用来提高产出水准并提高程式效率。

此外，北美市场影响对未来有重大影响。随着该地区不断推动人工智慧的发展，预计将为人工智慧编码制定全球标准，并影响世界的软体开发实践。北美的持续创新和成长可能会吸引更多资本并增强其在市场中的主导地位。

为什么要购买这份报告？

  • 富有洞察力的分析：获得涵盖关键和新兴地区的深入市场洞察，重点关注客户细分、政府政策和社会经济因素、消费者偏好、行业部门和其他子区隔。
  • 竞争格局：了解世界主要参与者所采取的策略策略，并了解采用正确策略渗透市场的潜力。
  • 市场驱动因素和未来趋势：探索动态因素和关键市场趋势以及它们将如何塑造未来市场开拓。
  • 可行的建议：利用洞察力做出策略决策，在动态环境中释放新的业务流和收益。
  • 面向广大受众：对于新兴企业、研究机构、顾问、中小型企业和大型企业有用且具有成本效益。

公司使用我们的报告的目的是什么？

产业与市场考量、机会评估、产品需求预测、打入市场策略、地理扩张、资本投资决策、法律规范与影响、新产品开拓、竞争影响

调查范围

  • 2022年至2029年历史资料与预测
  • 成长机会、挑战、供应链前景、法规结构、客户行为和趋势分析
  • 竞争定位、策略和市场占有率分析
  • 收益成长和预测部分以及包括国家在内的区域分析
  • 公司概况（尤其是关键发展）

产生人工智慧（AI）编码市场区隔与分析如下：

按操作

  • 程式码生成
  • 程式码增强
  • 语言翻译
  • 程式码审查

按申请

  • 资料科学和分析
  • 游戏开发与设计
  • 网路和应用开发
  • 物联网和智慧设备

按最终用户

  • BFSI
  • 媒体与娱乐
  • 资讯科技和通讯
  • 医疗保健和生命科学
  • 运输和物流
  • 零售/电子商务
  • 其他的

按地区

  • 北美洲
  • 美国
  • 加拿大
  • 墨西哥
  • 南美洲
  • 巴西
  • 阿根廷
  • 其他的
  • 欧洲
  • 英国
  • 德国
  • 法国
  • 西班牙
  • 其他中东/非洲
  • 沙乌地阿拉伯
  • UAE
  • 以色列
  • 其他的
  • 亚太地区
  • 日本
  • 中国
  • 印度
  • 韩国
  • 印尼
  • 泰国
  • 其他的

目录

第一章简介

  • 市场概况
  • 市场定义
  • 调查范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关利益者的主要利益

第二章调查方法

  • 研究设计
  • 调查过程

第三章执行摘要

  • 主要发现
  • CXO观点

第四章市场动态

  • 市场驱动因素
  • 市场限制因素
  • 波特五力分析
  • 产业价值链分析
  • 分析师观点

第五章 生成式人工智慧 (AI) 编码市场：按营运划分

  • 介绍
  • 程式码生成
  • 程式码增强
  • 语言翻译
  • 程式码审查

第六章 生成式人工智慧 (AI) 编码市场：依应用分类

  • 介绍
  • 资料科学和分析
  • 游戏开发与设计
  • 网路和应用开发
  • 物联网和智慧设备

第 7 章 生成式人工智慧 (AI) 编码市场：按最终用户分类

  • 介绍
  • BFSI
  • 媒体与娱乐
  • 资讯科技和通讯
  • 医疗保健和生命科学
  • 运输和物流
  • 零售/电子商务
  • 其他的

第八章 产生人工智慧 (AI) 编码市场：按地区

  • 介绍
  • 北美洲
    • 按操作
    • 按用途
    • 按最终用户
    • 按国家/地区
  • 南美洲
    • 按操作
    • 按用途
    • 按最终用户
    • 按国家/地区
  • 欧洲
    • 按操作
    • 按用途
    • 按最终用户
    • 按国家/地区
  • 中东/非洲
    • 按操作
    • 按用途
    • 按最终用户
    • 按国家/地区
  • 亚太地区
    • 按操作
    • 按用途
    • 按最终用户
    • 按国家/地区

第九章竞争环境及分析

  • 主要企业及策略分析
  • 市场占有率分析
  • 合併、收购、协议和合作
  • 竞争对手仪表板

第十章 公司简介

  • Codecademy
  • CodiumAI
  • Google LLC
  • IBM Corporation
  • Microsoft Corporation
  • NVIDIA Corporation
  • OpenAI
  • Tabnine
简介目录
Product Code: KSI061616202

The generative Artificial Intelligence (AI) In the coding market is expected to grow at a CAGR of 25.54%, reaching a market size of US$110.795 million in 2029 from US$35.529 million in 2024.

The rise of generative AI in coding is a result of software development processes incorporating machine learning (ML) and artificial intelligence (AI) techniques. With the aid of this technology, developers can streamline the coding process by automating and improving various aspects of it. Because of this advancement, traditional coding tasks require less manual labour, which results in quicker development cycles and increased productivity. Generative AI is necessary to handle complex coding in software applications for machine learning, deep learning, and data analysis.

Generative AI is increasingly being incorporated into Integrated Development Environments (IDEs) to improve the coding environment and increase developer productivity by offering AI-generated code suggestions and solutions within the coding workspace. This progression represents the coming together of AI powers and traditional coding techniques, leading to a more productive and cooperative development process. Microsoft's Visual Studio IntelliCode is an example of an AI-powered extension that can improve developers' coding experience with the Visual Studio IDE. By using AI technology, such innovations can enhance and expedite software development.

Further, more researchers are exploring the potential of AI to assist in the automation of various programming tasks, including code generation, providing solutions for coding problems, and enhancing programming efficiency. By incorporating machine learning and artificial intelligence, coding research is expected to build advanced instruments that may aid developers' productivity and streamline effective software creation processes. As this field transforms, it holds promise for the complete revolutionization of how programming codes are developed, tested, and optimized.

Generative Artificial Intelligence (AI) in Coding Market Drivers:

  • Increased demand for AI-generated content is anticipated to boost the market growth

The swelling need for content generated by artificial intelligence has propelled the generative AI market growth. This is of great significance, especially in sectors such as marketing and advertising, where diversity and customization are fundamental to making it work with consumers. In software development, generative AI employs large datasets of pre-existing codes that the ML algorithms then analyze for patterns and structure. With this knowledge, an AI model can either create brand new codes or make suggestions to the developers. It covers numerous fields, from IT and software companies that need quick production of almost precise codes to agencies requiring marketing copies.

Generative Artificial Intelligence (AI) In coding Market Geographical Outlook

  • North America is witnessing exponential growth during the forecast period

The surge is a result of many important things, such as a lively environment of start-ups and technological growth, huge financial resources allocated to AI research and development, and a strong innovation climate. With these exclusive market dynamics in this region, generative AI instruments are being embraced to raise output levels and make programming more efficient.

Further, the market presence of North America has significant future implications. The region is expected to set global standards for AI in coding and influence software development practices globally as it continues to advance AI. North America's sustained innovation and growth will probably draw in more capital, enhancing its dominant position in the market.

Reasons for buying this report:-

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data & forecasts from 2022 to 2029
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

The Generative Artificial Intelligence (AI) In coding market is segmented and analyzed as follows:

By Operation

  • Code Generation
  • Code Enhancement
  • Language Translation
  • Code Reviews

By Application

  • Data Science and Analytics
  • Game Development and Design
  • Web and Application Development
  • IoT and Smart Devices

By End-User

  • BFSI
  • Media and Entertainment
  • IT & Telecom
  • Healthcare and Life Sciences
  • Transport & logistics
  • Retail & E-commerce
  • Others

By Geography

  • North America
  • United States
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • United Kingdom
  • Germany
  • France
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Israel
  • Others
  • Asia Pacific
  • Japan
  • China
  • India
  • South Korea
  • Indonesia
  • Thailand
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base and Forecast Years Timeline
  • 1.8. Key Benefits to the Stakeholder

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Processes

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings
  • 3.2. CXO Perspective

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis
  • 4.5. Analyst View

5. GENERATIVE ARTIFICIAL INTELLIGENCE (AI) IN CODING MARKET BY OPERATION

  • 5.1. Introduction
  • 5.2. Code Generation
  • 5.3. Code Enhancement
  • 5.4. Language Translation
  • 5.5. Code Reviews

6. GENERATIVE ARTIFICIAL INTELLIGENCE (AI) IN CODING MARKET BY APPLICATION

  • 6.1. Introduction
  • 6.2. Data Science and Analytics
  • 6.3. Game Development and Design
  • 6.4. Web and Application Development
  • 6.5. IoT and Smart Devices

7. GENERATIVE ARTIFICIAL INTELLIGENCE (AI) IN CODING MARKET BY END-USER

  • 7.1. Introduction
  • 7.2. BFSI
  • 7.3. Media and Entertainment
  • 7.4. IT & Telecom
  • 7.5. Healthcare and Life Sciences
  • 7.6. Transport & logistics
  • 7.7. Retail & E-commerce
  • 7.8. Others

8. GENERATIVE ARTIFICIAL INTELLIGENCE (AI) IN CODING MARKET BY GEOGRAPHY

  • 8.1. Introduction
  • 8.2. North America
    • 8.2.1. By Operation
    • 8.2.2. By Application
    • 8.2.3. By End-User
    • 8.2.4. By Country
      • 8.2.4.1. United States
      • 8.2.4.2. Canada
      • 8.2.4.3. Mexico
  • 8.3. South America
    • 8.3.1. By Operation
    • 8.3.2. By Application
    • 8.3.3. By End-User
    • 8.3.4. By Country
      • 8.3.4.1. Brazil
      • 8.3.4.2. Argentina
      • 8.3.4.3. Others
  • 8.4. Europe
    • 8.4.1. By Operation
    • 8.4.2. By Application
    • 8.4.3. By End-User
    • 8.4.4. By Country
      • 8.4.4.1. United Kingdom
      • 8.4.4.2. Germany
      • 8.4.4.3. France
      • 8.4.4.4. Spain
      • 8.4.4.5. Others
  • 8.5. Middle East and Africa
    • 8.5.1. By Operation
    • 8.5.2. By Application
    • 8.5.3. By End-User
    • 8.5.4. By Country
      • 8.5.4.1. Saudi Arabia
      • 8.5.4.2. UAE
      • 8.5.4.3. Israel
      • 8.5.4.4. Others
  • 8.6. Asia Pacific
    • 8.6.1. By Operation
    • 8.6.2. By Application
    • 8.6.3. By End-User
    • 8.6.4. By Country
      • 8.6.4.1. Japan
      • 8.6.4.2. China
      • 8.6.4.3. India
      • 8.6.4.4. South Korea
      • 8.6.4.5. Indonesia
      • 8.6.4.6. Thailand
      • 8.6.4.7. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 9.1. Major Players and Strategy Analysis
  • 9.2. Market Share Analysis
  • 9.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 9.4. Competitive Dashboard

10. COMPANY PROFILES

  • 10.1. Codecademy
  • 10.2. CodiumAI
  • 10.3. Google LLC
  • 10.4. IBM Corporation
  • 10.5. Microsoft Corporation
  • 10.6. NVIDIA Corporation
  • 10.7. OpenAI
  • 10.8. Tabnine