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市場調查報告書
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1574143

生成式人工智慧 (AI) 編碼市場：2024 年至 2029 年預測

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個工作天內

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簡介目錄

生成人工智慧 (AI) 編碼市場預計將以 25.54% 的複合年成長率成長，到 2029 年，市場規模將從 2024 年的 35,529,000 美元達到 110,795,000 美元。

生成式人工智慧 (AI) 編碼的興起是由機器學習 (ML) 和人工智慧 (AI) 技術融入軟體開發過程所推動的。借助這項技術，開發人員可以透過自動化和改進編碼過程的各個方面來提高效率。這項進步使得傳統的編碼任務減少了手動操作，從而縮短了開發週期並提高了生產力。需要生成式人工智慧來處理機器學習、深度學習和資料分析等軟體應用程式中的複雜編碼。

將生成式人工智慧納入整合開發環境 (IDE) 的舉措正在加速，透過在編碼工作區中提供人工智慧生成的程式碼提案和解決方案來改善編碼環境並提高開發人員的工作效率。這項進步代表了人工智慧的力量與傳統編碼技術的結合，從而帶來了更有效率和協作的開發過程。 Microsoft 的 Visual Studio IntelliCode 是人工智慧驅動的擴充功能的一個範例，它改善了使用 Visual Studio IDE 的開發人員的編碼體驗。透過利用人工智慧技術，此類創新可以增強和加速軟體開發。

此外，越來越多的研究人員正在探索人工智慧幫助自動化各種程式設計任務的潛力，例如產生程式碼、提供編碼問題的解決方案以及提高程式設計效率。透過結合機器學習和人工智慧，編碼研究有望建立先進的設備，有可能提高開發人員的生產力並簡化創建有效軟體的過程。這一領域的變革有望徹底改變程式碼的開發、測試和最佳化方式。

產生人工智慧 (AI) 編碼市場促進因素：

  • 對人工智慧生成內容的需求不斷成長預計將推動市場成長

對人工智慧生成內容的需求不斷成長正在推動生成人工智慧市場的成長。這在行銷和廣告等領域尤其重要，在這些領域，多元化和客製化是吸引消費者的基礎。在軟體開發中，生成式人工智慧使用現有程式碼的大型資料集，機器學習演算法會分析這些程式碼的模式和結構。這些知識允許人工智慧模型創建全新的程式碼或向開發人員提出提案。我們涵蓋許多領域，從需要快速創建近乎準確的程式碼的 IT 和軟體公司，到需要行銷文案的機構。

產生人工智慧 (AI) 編碼市場的地理前景

  • 北美地區將在預測期內經歷快速成長

這種快速成長是由許多關鍵因素推動的，包括充滿活力的Start-Ups環境、技術進步、分配給人工智慧研發的大量資金以及強大的創新環境。由於該地區獨特的市場動態，生成式人工智慧設備被用來提高產出水準並提高程式效率。

此外，北美市場影響對未來有重大影響。隨著該地區不斷推動人工智慧的發展，預計將為人工智慧編碼制定全球標準，並影響世界的軟體開發實踐。北美的持續創新和成長可能會吸引更多資本並增強其在市場中的主導地位。

為什麼要購買這份報告？

  • 富有洞察力的分析：獲得涵蓋關鍵和新興地區的深入市場洞察，重點關注客戶細分、政府政策和社會經濟因素、消費者偏好、行業部門和其他子區隔。
  • 競爭格局：了解世界主要參與者所採取的策略策略，並了解採用正確策略滲透市場的潛力。
  • 市場促進因素和未來趨勢：探索動態因素和關鍵市場趨勢以及它們將如何塑造未來市場開拓。
  • 可行的建議：利用洞察力做出策略決策，在動態環境中釋放新的業務流和收益。
  • 面向廣大受眾：對於新興企業、研究機構、顧問、中小型企業和大型企業有用且具有成本效益。

公司使用我們的報告的目的是什麼？

產業與市場考量、機會評估、產品需求預測、打入市場策略、地理擴張、資本投資決策、法律規範與影響、新產品開拓、競爭影響

調查範圍

  • 2022年至2029年歷史資料與預測
  • 成長機會、挑戰、供應鏈前景、法規結構、客戶行為和趨勢分析
  • 競爭定位、策略和市場佔有率分析
  • 收益成長和預測部分以及包括國家在內的區域分析
  • 公司概況（尤其是關鍵發展）

產生人工智慧（AI）編碼市場區隔與分析如下：

按操作

  • 程式碼生成
  • 程式碼增強
  • 語言翻譯
  • 程式碼審查

按申請

  • 資料科學和分析
  • 遊戲開發與設計
  • 網路和應用開發
  • 物聯網和智慧設備

按最終用戶

  • BFSI
  • 媒體與娛樂
  • 資訊科技和通訊
  • 醫療保健和生命科學
  • 運輸和物流
  • 零售/電子商務
  • 其他

按地區

  • 北美洲
  • 美國
  • 加拿大
  • 墨西哥
  • 南美洲
  • 巴西
  • 阿根廷
  • 其他
  • 歐洲
  • 英國
  • 德國
  • 法國
  • 西班牙
  • 其他中東/非洲
  • 沙烏地阿拉伯
  • UAE
  • 以色列
  • 其他
  • 亞太地區
  • 日本
  • 中國
  • 印度
  • 韓國
  • 印尼
  • 泰國
  • 其他

目錄

第1章簡介

  • 市場概況
  • 市場定義
  • 調查範圍
  • 市場區隔
  • 貨幣
  • 先決條件
  • 基準年和預測年時間表
  • 相關利益者的主要利益

第2章調查方法

  • 研究設計
  • 調查過程

第3章執行摘要

  • 主要發現
  • CXO觀點

第4章市場動態

  • 市場促進因素
  • 市場限制因素
  • 波特五力分析
  • 產業價值鏈分析
  • 分析師觀點

第5章 生成式人工智慧 (AI) 編碼市場：按營運分類

  • 介紹
  • 程式碼生成
  • 程式碼增強
  • 語言翻譯
  • 程式碼審查

第6章 生成式人工智慧 (AI) 編碼市場：依應用分類

  • 介紹
  • 資料科學和分析
  • 遊戲開發與設計
  • 網路和應用開發
  • 物聯網和智慧設備

第 7 章 生成式人工智慧 (AI) 編碼市場：按最終用戶分類

  • 介紹
  • BFSI
  • 媒體與娛樂
  • 資訊科技和通訊
  • 醫療保健和生命科學
  • 運輸和物流
  • 零售/電子商務
  • 其他

第8章 產生人工智慧 (AI) 編碼市場：按地區

  • 介紹
  • 北美洲
    • 按操作
    • 按用途
    • 按最終用戶
    • 按國家/地區
  • 南美洲
    • 按操作
    • 按用途
    • 按最終用戶
    • 按國家/地區
  • 歐洲
    • 按操作
    • 按用途
    • 按最終用戶
    • 按國家/地區
  • 中東/非洲
    • 按操作
    • 按用途
    • 按最終用戶
    • 按國家/地區
  • 亞太地區
    • 按操作
    • 按用途
    • 按最終用戶
    • 按國家/地區

第9章競爭環境及分析

  • 主要企業及策略分析
  • 市場佔有率分析
  • 合併、收購、協議和合作
  • 競爭對手儀表板

第10章 公司簡介

  • Codecademy
  • CodiumAI
  • Google LLC
  • IBM Corporation
  • Microsoft Corporation
  • NVIDIA Corporation
  • OpenAI
  • Tabnine
簡介目錄
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