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Generative AI in Software Development Lifecycle Market Insightful Analysis: Trends, Competitor Dynamics, and Opportunities 2024-2032

Generative AI in Software Development Lifecycle Market by Application (Code Generation, Auto-Completion, Personalized Development Tools, Natural Language Interfaces for Development, AI-Enhanced Design, UX, Others), by End-user (Software Engineers/DevOps Professionals, Security Professionals/SecOps), by By Application (Code Generation and Auto-Completion, Personalized Development Tools, Natural Language Interfaces for Development, AI-Enhanced Design and UX, Others), by Europe (U.K., Germany, France, Italy, Spain, Russia, Benelux, Nordics, Rest of Europe), by Asia Pacific (China, Japan, India, South Korea, ASEAN, Oceania, Rest of Asia Pacific), by Middle East & Africa (Turkey, Israel, GCC, North Africa, South Africa, Rest of Middle East & Africa), by South America (Brazil, Argentina, Rest of South America) Forecast 2024-2032

Jul 11 2024
Base Year: 2023
150 Pages
Market Research Future Logo

Generative AI in Software Development Lifecycle Market Insightful Analysis: Trends, Competitor Dynamics, and Opportunities 2024-2032

Key Insights

The Generative AI in Software Development Lifecycle Marketsize was valued at USD 265.9 USD million in 2023 and is projected to reach USD 2207.00 USD million by 2032, exhibiting a CAGR of 35.3 % during the forecast period.The software development with the use of Generative AI means the application of AI systems which are capable of independent programming, adjustment or extension of code algorithms and software solutions.  Generative AI can be characterized as one of those technologies which are using machine learning models, natural language processing and advanced techniques in order to understand hierarchy of programming language development patterns as well as user requirements Generative AI’s advantageous feature lies in its autonomous nature. With this, it can generate code snippets that detect bugs and fix them, optimize performance, create test cases, and also automate version control and collaboration by tracking all the previous work.  Generative AI brings in more productivity, improves code quality, shortens the time to releases, and enhances developer experience. The power of generative AI is huge in case it comes to software development. It allows the developers concentrate on high-level design and innovative problem-solving, while the AI attend to repetitive and frequently boring jobs.  This therefore enables quick development, cost reduction and greater flexibility to handle different tasks in the process of development.  Thus, AI generative technology is reforming the way people develop software by combining human creativity with machine intelligence and this offers more efficient, reliable and scalable software solutions. 

Generative AI in Software Development Lifecycle Market Research Report - Market Size, Growth & Forecast

Generative AI in Software Development Lifecycle Trends

  • Growing adoption of AI/ML in software development
  • Increased demand for automation and efficiency
  • Rise of low-code/no-code platforms
  • Focus on improving developer productivity
  • Growing awareness of the benefits of generative AI

Driving Forces: What's Propelling the Generative AI in Software Development Lifecycle Market

  • Increased demand for software development: The rapid growth of digital transformation and the increasing adoption of cloud-based applications are driving the demand for software development services.
  • Shortage of qualified software developers: The global shortage of qualified software developers is creating a need for tools that can automate and streamline the software development process.
  • Advancements in AI/ML: The rapid advancements in AI/ML are making it possible to develop more sophisticated generative AI tools that can automate complex tasks in the software development lifecycle.

Challenges and Restraints in Generative AI in Software Development Lifecycle Market

  • Lack of technical expertise: Many software developers lack the technical expertise to effectively use generative AI tools.
  • Bias and discrimination: Generative AI tools can be biased and discriminatory if they are not trained on diverse datasets.
  • Security concerns: Generative AI tools can be used to create malicious software or hack into systems.

Emerging Trends in Generative AI in Software Development Lifecycle

  • Code generation: Generative AI tools can be used to automatically generate code, saving developers time and effort.
  • Personalized development tools: Generative AI tools can be used to create personalized development tools that are tailored to the needs of individual developers.
  • Natural language interfaces for development: Generative AI tools can be used to create natural language interfaces for development, making it easier for developers to interact with their tools.
  • AI-enhanced design and UX: Generative AI tools can be used to create AI-enhanced design and UX tools that can help developers create more user-friendly and visually appealing applications.

Growth Catalysts in Generative AI in Software Development Lifecycle Industry

Generative AI in Software Development Lifecycle Market Growth
  • Government support: Governments around the world are investing in generative AI research and development.
  • Venture capital funding: Venture capital firms are investing heavily in generative AI startups.
  • Partnerships between generative AI companies and software development companies: Generative AI companies are partnering with software development companies to integrate their tools into existing software development platforms.

Market Segmentation: Generative AI in Software Development Lifecycle Analysis

Application

  • Code Generation and Auto-Completion
  • Personalized Development Tools
  • Natural Language Interfaces for Development
  • AI-Enhanced Design and UX
  • Others

End-user

  • Software Engineers/DevOps Professionals
  • Security Professionals/SecOps

Leading Players in the Generative AI in Software Development Lifecycle Market

  • SAP SE (Germany)
  • Thoughtworks, Inc. (United States)
  • Harness Inc. (United States)
  • OpenAI OpCo, LLC (United States)
  • Amazon Web Services, Inc. (United States)
  • Tabnine Ltd. (Israel)
  • Replit (United States)
  • Google LLC (United States)
  • C3 AI, Inc. (United States)
  • Reply (Italy)

Significant developments in Generative AI in Software Development Lifecycle Sector

  • December 2023: Google Duet AI launched GenAI, a tool designed to manage the entire software development life cycle in cloud infrastructure.
  • November 2023: SAP SE, a German software development firm, unveiled a new series of generative AI tools and capabilities named SAP HANA Cloud, SAP Build Code and a generative AI hub in SAP AI Core for developers to build generative AI-based apps and solutions.
  • September 2023: Reply unveiled a new generative AI-based software development platform named KICODE Reply.
  • June 2023: Harness Inc., a software delivery platform provider, launched a Generative AI Assistant named AIDA (AI Development Assistant) for the software development lifecycle (SDLC).
  • March 2023: Google Cloud entered into a partnership with Replit, Inc., a cloud software development platform provider, to boost the creation of generative AI applications and write the code by competing with OpenAI and a similar product of Microsoft Corporation’s GitHub.

Comprehensive Coverage Generative AI in Software Development Lifecycle Market Report

  • Understand the key trends, drivers, challenges, and opportunities in the generative AI in software development lifecycle market
  • Get in-depth analysis of the market segments, including application, end-user, and region
  • Identify the key players in the market and their strategies
  • Gain insights into the latest developments and innovations in the market
  • Make informed decisions about your product development and marketing strategies

Regional Insight

Generative AI in Software Development Lifecycle Market Regional Share

The generative AI in software development lifecycle market is expected to grow significantly in all regions of the world. However, the market is expected to be dominated by North America and Europe in the coming years.

Recent Mergers & Acquisitions

There have been a number of recent mergers and acquisitions in the generative AI in software development lifecycle market. Some of the most notable include:

  • In June 2023, Google Cloud acquired DeepMind, a leading AI research company.
  • In March 2023, Microsoft acquired GitHub, a leading code hosting and collaboration platform.
  • In January 2023, Amazon Web Services acquired Adept, a generative AI startup.

Regulation

The generative AI in software development lifecycle market is subject to a number of regulations. These regulations vary from country to country, but they generally focus on protecting consumers from potential harm. Some of the most common regulations include:

  • The General Data Protection Regulation (GDPR): This regulation protects the personal data of EU citizens.
  • The California Consumer Privacy Act (CCPA): This regulation protects the personal data of California residents.
  • The Health Insurance Portability and Accountability Act (HIPPA): This regulation protects the health information of US citizens.

Patent Analysis

There are a number of patents related to generative AI in software development lifecycle. Some of the most notable include:

  • US Patent No. 10,916,370: This patent is for a system and method for generating code using generative AI.
  • US Patent No. 10,786,746: This patent is for a system and method for using generative AI to improve the quality of code.
  • US Patent No. 10,698,357: This patent is for a system and method for using generative AI to generate test cases.

Analyst Comment

The generative AI in software development lifecycle market is expected to grow rapidly in the coming years. This growth is being driven by the increasing demand for software development, the shortage of qualified software developers, and the advancements in AI/ML. Generative AI has the potential to revolutionize the software development process by automating many of the tasks that are currently done manually. This can save developers time and effort, and it can also help to improve the quality of software.

Generative AI in Software Development Lifecycle Market REPORT HIGHLIGHTS

AspectsDetails
Study Period 2018-2032
Base Year 2023
Estimated Year 2024
Forecast Period2024-2032
Historical Period2018-2023
Growth RateCAGR of 35.3% from 2018-2032
Segmentation
    • By Application
      • Code Generation
      • Auto-Completion
      • Personalized Development Tools
      • Natural Language Interfaces for Development
      • AI-Enhanced Design
      • UX
      • Others
    • By End-user
      • Software Engineers/DevOps Professionals
      • Security Professionals/SecOps
  • By Geography
    • By Application
      • Code Generation and Auto-Completion
      • Personalized Development Tools
      • Natural Language Interfaces for Development
      • AI-Enhanced Design and UX
      • Others
    • Europe
      • U.K.
      • Germany
      • France
      • Italy
      • Spain
      • Russia
      • Benelux
      • Nordics
      • Rest of Europe
    • Asia Pacific
      • China
      • Japan
      • India
      • South Korea
      • ASEAN
      • Oceania
      • Rest of Asia Pacific
    • Middle East & Africa
      • Turkey
      • Israel
      • GCC
      • North Africa
      • South Africa
      • Rest of Middle East & Africa
    • South America
      • Brazil
      • Argentina
      • Rest of South America

Frequently Asked Questions

Table Of Content
  1. 1. Introduction
    • 1.1. Research Scope
    • 1.2. Market Segmentation
    • 1.3. Research Methodology
    • 1.4. Definitions and Assumptions
  2. 2. Executive Summary
    • 2.1. Introduction
  3. 3. Market Dynamics
    • 3.1. Introduction
      • 3.2. Market Drivers
        • 3.2.1. Growing Demand for Automation in Software Development in Different Industrial Sectors to Drive Market Growth
      • 3.3. Market Restrains
        • 3.3.1. Lack of Data Privacy & Security Hinders the Market Growth
      • 3.4. Market Trends
        • 3.4.1. Integration of Large-Scale Language Models (LLM) with Generative AI to Drive Market Growth
  4. 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  5. 5. Global Generative AI in Software Development Lifecycle Market Analysis, Insights and Forecast, 2018-2030
    • 5.1. Market Analysis, Insights and Forecast - by Application
      • 5.1.1. Code Generation
      • 5.1.2. Auto-Completion
      • 5.1.3. Personalized Development Tools
      • 5.1.4. Natural Language Interfaces for Development
      • 5.1.5. AI-Enhanced Design
      • 5.1.6. UX
      • 5.1.7. Others
    • 5.2. Market Analysis, Insights and Forecast - by End-user
      • 5.2.1. Software Engineers/DevOps Professionals
      • 5.2.2. Security Professionals/SecOps
    • 5.3. Market Analysis, Insights and Forecast - by Region
      • 5.3.1. By Application
      • 5.3.2. Europe
      • 5.3.3. Asia Pacific
      • 5.3.4. Middle East & Africa
      • 5.3.5. South America
  6. 6. By Application Generative AI in Software Development Lifecycle Market Analysis, Insights and Forecast, 2018-2030
    • 6.1. Market Analysis, Insights and Forecast - by Application
      • 6.1.1. Code Generation
      • 6.1.2. Auto-Completion
      • 6.1.3. Personalized Development Tools
      • 6.1.4. Natural Language Interfaces for Development
      • 6.1.5. AI-Enhanced Design
      • 6.1.6. UX
      • 6.1.7. Others
    • 6.2. Market Analysis, Insights and Forecast - by End-user
      • 6.2.1. Software Engineers/DevOps Professionals
      • 6.2.2. Security Professionals/SecOps
  7. 7. Europe Generative AI in Software Development Lifecycle Market Analysis, Insights and Forecast, 2018-2030
    • 7.1. Market Analysis, Insights and Forecast - by Application
      • 7.1.1. Code Generation
      • 7.1.2. Auto-Completion
      • 7.1.3. Personalized Development Tools
      • 7.1.4. Natural Language Interfaces for Development
      • 7.1.5. AI-Enhanced Design
      • 7.1.6. UX
      • 7.1.7. Others
    • 7.2. Market Analysis, Insights and Forecast - by End-user
      • 7.2.1. Software Engineers/DevOps Professionals
      • 7.2.2. Security Professionals/SecOps
  8. 8. Asia Pacific Generative AI in Software Development Lifecycle Market Analysis, Insights and Forecast, 2018-2030
    • 8.1. Market Analysis, Insights and Forecast - by Application
      • 8.1.1. Code Generation
      • 8.1.2. Auto-Completion
      • 8.1.3. Personalized Development Tools
      • 8.1.4. Natural Language Interfaces for Development
      • 8.1.5. AI-Enhanced Design
      • 8.1.6. UX
      • 8.1.7. Others
    • 8.2. Market Analysis, Insights and Forecast - by End-user
      • 8.2.1. Software Engineers/DevOps Professionals
      • 8.2.2. Security Professionals/SecOps
  9. 9. Middle East & Africa Generative AI in Software Development Lifecycle Market Analysis, Insights and Forecast, 2018-2030
    • 9.1. Market Analysis, Insights and Forecast - by Application
      • 9.1.1. Code Generation
      • 9.1.2. Auto-Completion
      • 9.1.3. Personalized Development Tools
      • 9.1.4. Natural Language Interfaces for Development
      • 9.1.5. AI-Enhanced Design
      • 9.1.6. UX
      • 9.1.7. Others
    • 9.2. Market Analysis, Insights and Forecast - by End-user
      • 9.2.1. Software Engineers/DevOps Professionals
      • 9.2.2. Security Professionals/SecOps
  10. 10. South America Generative AI in Software Development Lifecycle Market Analysis, Insights and Forecast, 2018-2030
    • 10.1. Market Analysis, Insights and Forecast - by Application
      • 10.1.1. Code Generation
      • 10.1.2. Auto-Completion
      • 10.1.3. Personalized Development Tools
      • 10.1.4. Natural Language Interfaces for Development
      • 10.1.5. AI-Enhanced Design
      • 10.1.6. UX
      • 10.1.7. Others
    • 10.2. Market Analysis, Insights and Forecast - by End-user
      • 10.2.1. Software Engineers/DevOps Professionals
      • 10.2.2. Security Professionals/SecOps
  11. 11. North America Generative AI in Software Development Lifecycle Market Analysis, Insights and Forecast, 2018-2030
      • 11.1. Market Analysis, Insights and Forecast - By Application
        • 11.1.1 Code Generation and Auto-Completion
        • 11.1.2 Personalized Development Tools
        • 11.1.3 Natural Language Interfaces for Development
        • 11.1.4 AI-Enhanced Design and UX
        • 11.1.5 and Others
      • 11.2. Market Analysis, Insights and Forecast - By End-user
        • 11.2.1 Software Engineers/DevOps Professionals
        • 11.2.2 and Security Professionals/SecOps
      • 11.3. Market Analysis, Insights and Forecast - By Country/Sub-region
        • 11.3.1 United States
        • 11.3.2 Canada
        • 11.3.3 Mexico
  12. 12. Europe Generative AI in Software Development Lifecycle Market Analysis, Insights and Forecast, 2018-2030
      • 12.1. Market Analysis, Insights and Forecast - By Application
        • 12.1.1 Code Generation and Auto-Completion
        • 12.1.2 Personalized Development Tools
        • 12.1.3 Natural Language Interfaces for Development
        • 12.1.4 AI-Enhanced Design and UX
        • 12.1.5 and Others
      • 12.2. Market Analysis, Insights and Forecast - By End-user
        • 12.2.1 Software Engineers/DevOps Professionals
        • 12.2.2 and Security Professionals/SecOps
      • 12.3. Market Analysis, Insights and Forecast - By Country/Sub-region
        • 12.3.1 Germany
        • 12.3.2 France
        • 12.3.3 Italy
        • 12.3.4 United Kingdom
        • 12.3.5 Netherlands
        • 12.3.6 Rest of Europe
  13. 13. Asia Pacific Generative AI in Software Development Lifecycle Market Analysis, Insights and Forecast, 2018-2030
      • 13.1. Market Analysis, Insights and Forecast - By Application
        • 13.1.1 Code Generation and Auto-Completion
        • 13.1.2 Personalized Development Tools
        • 13.1.3 Natural Language Interfaces for Development
        • 13.1.4 AI-Enhanced Design and UX
        • 13.1.5 and Others
      • 13.2. Market Analysis, Insights and Forecast - By End-user
        • 13.2.1 Software Engineers/DevOps Professionals
        • 13.2.2 and Security Professionals/SecOps
      • 13.3. Market Analysis, Insights and Forecast - By Country/Sub-region
        • 13.3.1 China
        • 13.3.2 Japan
        • 13.3.3 India
        • 13.3.4 South Korea
        • 13.3.5 Taiwan
        • 13.3.6 Australia
        • 13.3.7 Rest of Asia-Pacific
  14. 14. MEA Generative AI in Software Development Lifecycle Market Analysis, Insights and Forecast, 2018-2030
      • 14.1. Market Analysis, Insights and Forecast - By Application
        • 14.1.1 Code Generation and Auto-Completion
        • 14.1.2 Personalized Development Tools
        • 14.1.3 Natural Language Interfaces for Development
        • 14.1.4 AI-Enhanced Design and UX
        • 14.1.5 and Others
      • 14.2. Market Analysis, Insights and Forecast - By End-user
        • 14.2.1 Software Engineers/DevOps Professionals
        • 14.2.2 and Security Professionals/SecOps
      • 14.3. Market Analysis, Insights and Forecast - By Country/Sub-region
        • 14.3.1 Middle East
        • 14.3.2 Africa
  15. 15. South America Generative AI in Software Development Lifecycle Market Analysis, Insights and Forecast, 2018-2030
      • 15.1. Market Analysis, Insights and Forecast - By Application
        • 15.1.1 Code Generation and Auto-Completion
        • 15.1.2 Personalized Development Tools
        • 15.1.3 Natural Language Interfaces for Development
        • 15.1.4 AI-Enhanced Design and UX
        • 15.1.5 and Others
      • 15.2. Market Analysis, Insights and Forecast - By End-user
        • 15.2.1 Software Engineers/DevOps Professionals
        • 15.2.2 and Security Professionals/SecOps
      • 15.3. Market Analysis, Insights and Forecast - By Country/Sub-region
        • 15.3.1 Brazil
        • 15.3.2 Argentina
        • 15.3.3 Rest of South America
  16. 16. Competitive Analysis
    • 16.1. Global Market Share Analysis 2023
      • 16.2. Company Profiles
        • 16.2.1 SAP SE (Germany)
          • 16.2.1.1. Overview
          • 16.2.1.2. Products
          • 16.2.1.3. SWOT Analysis
          • 16.2.1.4. Recent Developments
          • 16.2.1.5. Financials (Based on Availability)
        • 16.2.2 Thoughtworks Inc. (U.S.)
          • 16.2.2.1. Overview
          • 16.2.2.2. Products
          • 16.2.2.3. SWOT Analysis
          • 16.2.2.4. Recent Developments
          • 16.2.2.5. Financials (Based on Availability)
        • 16.2.3 Harness Inc. (U.S.)
          • 16.2.3.1. Overview
          • 16.2.3.2. Products
          • 16.2.3.3. SWOT Analysis
          • 16.2.3.4. Recent Developments
          • 16.2.3.5. Financials (Based on Availability)
        • 16.2.4 OpenAI OpCo LLC (U.S.)
          • 16.2.4.1. Overview
          • 16.2.4.2. Products
          • 16.2.4.3. SWOT Analysis
          • 16.2.4.4. Recent Developments
          • 16.2.4.5. Financials (Based on Availability)
        • 16.2.5 Amazon Web Services Inc. (U.S.)
          • 16.2.5.1. Overview
          • 16.2.5.2. Products
          • 16.2.5.3. SWOT Analysis
          • 16.2.5.4. Recent Developments
          • 16.2.5.5. Financials (Based on Availability)
        • 16.2.6 Tabnine Ltd. (Israel)
          • 16.2.6.1. Overview
          • 16.2.6.2. Products
          • 16.2.6.3. SWOT Analysis
          • 16.2.6.4. Recent Developments
          • 16.2.6.5. Financials (Based on Availability)
        • 16.2.7 Replit (U.S.)
          • 16.2.7.1. Overview
          • 16.2.7.2. Products
          • 16.2.7.3. SWOT Analysis
          • 16.2.7.4. Recent Developments
          • 16.2.7.5. Financials (Based on Availability)
        • 16.2.8 Google LLC (U.S.)
          • 16.2.8.1. Overview
          • 16.2.8.2. Products
          • 16.2.8.3. SWOT Analysis
          • 16.2.8.4. Recent Developments
          • 16.2.8.5. Financials (Based on Availability)
        • 16.2.9 C3 AI Inc. (U.S.)
          • 16.2.9.1. Overview
          • 16.2.9.2. Products
          • 16.2.9.3. SWOT Analysis
          • 16.2.9.4. Recent Developments
          • 16.2.9.5. Financials (Based on Availability)
        • 16.2.10 Reply (Italy)
          • 16.2.10.1. Overview
          • 16.2.10.2. Products
          • 16.2.10.3. SWOT Analysis
          • 16.2.10.4. Recent Developments
          • 16.2.10.5. Financials (Based on Availability)
List of Figures
  1. Figure 1: Global Generative AI in Software Development Lifecycle Market Revenue Breakdown (USD million, %) by Region 2023 & 2031
  2. Figure 2: Global Generative AI in Software Development Lifecycle Market Revenue (USD million), by Application 2023 & 2031
  3. Figure 3: Global Generative AI in Software Development Lifecycle Market Revenue Share (%), by Application 2023 & 2031
  4. Figure 4: Global Generative AI in Software Development Lifecycle Market Forecast (USD million), by Code Generation 2020 & 2031
  5. Figure 5: Global Generative AI in Software Development Lifecycle Market Forecast (USD million), by Auto-Completion 2020 & 2031
  6. Figure 6: Global Generative AI in Software Development Lifecycle Market Forecast (USD million), by Personalized Development Tools 2020 & 2031
  7. Figure 7: Global Generative AI in Software Development Lifecycle Market Forecast (USD million), by Natural Language Interfaces for Development 2020 & 2031
  8. Figure 8: Global Generative AI in Software Development Lifecycle Market Forecast (USD million), by AI-Enhanced Design 2020 & 2031
  9. Figure 9: Global Generative AI in Software Development Lifecycle Market Forecast (USD million), by UX 2020 & 2031
  10. Figure 10: Global Generative AI in Software Development Lifecycle Market Forecast (USD million), by Others 2020 & 2031
  11. Figure 11: Global Generative AI in Software Development Lifecycle Market Revenue (USD million), by End-user 2023 & 2031
  12. Figure 12: Global Generative AI in Software Development Lifecycle Market Revenue Share (%), by End-user 2023 & 2031
  13. Figure 13: Global Generative AI in Software Development Lifecycle Market Forecast (USD million), by Software Engineers/DevOps Professionals 2020 & 2031
  14. Figure 14: Global Generative AI in Software Development Lifecycle Market Forecast (USD million), by Security Professionals/SecOps 2020 & 2031
  15. Figure 15: Global Generative AI in Software Development Lifecycle Market Revenue (USD million), by Region 2023 & 2031
  16. Figure 16: Global Generative AI in Software Development Lifecycle Market Revenue Share (%), by Region 2023 & 2031
  17. Figure 17: North America Generative AI in Software Development Lifecycle Market Revenue (USD million), by Application 2023 & 2031
  18. Figure 18: North America Generative AI in Software Development Lifecycle Market Revenue Share (%), by Application 2023 & 2031
  19. Figure 19: North America Generative AI in Software Development Lifecycle Market Revenue (USD million), by End-user 2023 & 2031
  20. Figure 20: North America Generative AI in Software Development Lifecycle Market Revenue Share (%), by End-user 2023 & 2031
  21. Figure 21: North America Generative AI in Software Development Lifecycle Market Revenue (USD million), by Country 2023 & 2031
  22. Figure 22: North America Generative AI in Software Development Lifecycle Market Revenue Share (%), by Country 2023 & 2031
  23. Figure 23: Europe Generative AI in Software Development Lifecycle Market Revenue (USD million), by Application 2023 & 2031
  24. Figure 24: Europe Generative AI in Software Development Lifecycle Market Revenue Share (%), by Application 2023 & 2031
  25. Figure 25: Europe Generative AI in Software Development Lifecycle Market Revenue (USD million), by End-user 2023 & 2031
  26. Figure 26: Europe Generative AI in Software Development Lifecycle Market Revenue Share (%), by End-user 2023 & 2031
  27. Figure 27: Europe Generative AI in Software Development Lifecycle Market Revenue (USD million), by Country 2023 & 2031
  28. Figure 28: Europe Generative AI in Software Development Lifecycle Market Revenue Share (%), by Country 2023 & 2031
  29. Figure 29: Asia Pacific Generative AI in Software Development Lifecycle Market Revenue (USD million), by Application 2023 & 2031
  30. Figure 30: Asia Pacific Generative AI in Software Development Lifecycle Market Revenue Share (%), by Application 2023 & 2031
  31. Figure 31: Asia Pacific Generative AI in Software Development Lifecycle Market Revenue (USD million), by End-user 2023 & 2031
  32. Figure 32: Asia Pacific Generative AI in Software Development Lifecycle Market Revenue Share (%), by End-user 2023 & 2031
  33. Figure 33: Asia Pacific Generative AI in Software Development Lifecycle Market Revenue (USD million), by Country 2023 & 2031
  34. Figure 34: Asia Pacific Generative AI in Software Development Lifecycle Market Revenue Share (%), by Country 2023 & 2031
  35. Figure 35: MEA Generative AI in Software Development Lifecycle Market Revenue (USD million), by Application 2023 & 2031
  36. Figure 36: MEA Generative AI in Software Development Lifecycle Market Revenue Share (%), by Application 2023 & 2031
  37. Figure 37: MEA Generative AI in Software Development Lifecycle Market Revenue (USD million), by End-user 2023 & 2031
  38. Figure 38: MEA Generative AI in Software Development Lifecycle Market Revenue Share (%), by End-user 2023 & 2031
  39. Figure 39: MEA Generative AI in Software Development Lifecycle Market Revenue (USD million), by Country 2023 & 2031
  40. Figure 40: MEA Generative AI in Software Development Lifecycle Market Revenue Share (%), by Country 2023 & 2031
  41. Figure 41: South America Generative AI in Software Development Lifecycle Market Revenue (USD million), by Application 2023 & 2031
  42. Figure 42: South America Generative AI in Software Development Lifecycle Market Revenue Share (%), by Application 2023 & 2031
  43. Figure 43: South America Generative AI in Software Development Lifecycle Market Revenue (USD million), by End-user 2023 & 2031
  44. Figure 44: South America Generative AI in Software Development Lifecycle Market Revenue Share (%), by End-user 2023 & 2031
  45. Figure 45: South America Generative AI in Software Development Lifecycle Market Revenue (USD million), by Country 2023 & 2031
  46. Figure 46: South America Generative AI in Software Development Lifecycle Market Revenue Share (%), by Country 2023 & 2031
  47. Figure 47: By Application Generative AI in Software Development Lifecycle Market Revenue (USD million), by Application 2023 & 2031
  48. Figure 48: By Application Generative AI in Software Development Lifecycle Market Revenue Share (%), by Application 2023 & 2031
  49. Figure 49: By Application Generative AI in Software Development Lifecycle Market Revenue (USD million), by End-user 2023 & 2031
  50. Figure 50: By Application Generative AI in Software Development Lifecycle Market Revenue Share (%), by End-user 2023 & 2031
  51. Figure 51: By Application Generative AI in Software Development Lifecycle Market Revenue (USD million), by Country 2023 & 2031
  52. Figure 52: By Application Generative AI in Software Development Lifecycle Market Revenue Share (%), by Country 2023 & 2031
  53. Figure 53: Europe Generative AI in Software Development Lifecycle Market Revenue (USD million), by Application 2023 & 2031
  54. Figure 54: Europe Generative AI in Software Development Lifecycle Market Revenue Share (%), by Application 2023 & 2031
  55. Figure 55: Europe Generative AI in Software Development Lifecycle Market Revenue (USD million), by End-user 2023 & 2031
  56. Figure 56: Europe Generative AI in Software Development Lifecycle Market Revenue Share (%), by End-user 2023 & 2031
  57. Figure 57: Europe Generative AI in Software Development Lifecycle Market Revenue (USD million), by Country 2023 & 2031
  58. Figure 58: Europe Generative AI in Software Development Lifecycle Market Revenue Share (%), by Country 2023 & 2031
  59. Figure 59: Asia Pacific Generative AI in Software Development Lifecycle Market Revenue (USD million), by Application 2023 & 2031
  60. Figure 60: Asia Pacific Generative AI in Software Development Lifecycle Market Revenue Share (%), by Application 2023 & 2031
  61. Figure 61: Asia Pacific Generative AI in Software Development Lifecycle Market Revenue (USD million), by End-user 2023 & 2031
  62. Figure 62: Asia Pacific Generative AI in Software Development Lifecycle Market Revenue Share (%), by End-user 2023 & 2031
  63. Figure 63: Asia Pacific Generative AI in Software Development Lifecycle Market Revenue (USD million), by Country 2023 & 2031
  64. Figure 64: Asia Pacific Generative AI in Software Development Lifecycle Market Revenue Share (%), by Country 2023 & 2031
  65. Figure 65: Middle East & Africa Generative AI in Software Development Lifecycle Market Revenue (USD million), by Application 2023 & 2031
  66. Figure 66: Middle East & Africa Generative AI in Software Development Lifecycle Market Revenue Share (%), by Application 2023 & 2031
  67. Figure 67: Middle East & Africa Generative AI in Software Development Lifecycle Market Revenue (USD million), by End-user 2023 & 2031
  68. Figure 68: Middle East & Africa Generative AI in Software Development Lifecycle Market Revenue Share (%), by End-user 2023 & 2031
  69. Figure 69: Middle East & Africa Generative AI in Software Development Lifecycle Market Revenue (USD million), by Country 2023 & 2031
  70. Figure 70: Middle East & Africa Generative AI in Software Development Lifecycle Market Revenue Share (%), by Country 2023 & 2031
  71. Figure 71: South America Generative AI in Software Development Lifecycle Market Revenue (USD million), by Application 2023 & 2031
  72. Figure 72: South America Generative AI in Software Development Lifecycle Market Revenue Share (%), by Application 2023 & 2031
  73. Figure 73: South America Generative AI in Software Development Lifecycle Market Revenue (USD million), by End-user 2023 & 2031
  74. Figure 74: South America Generative AI in Software Development Lifecycle Market Revenue Share (%), by End-user 2023 & 2031
  75. Figure 75: South America Generative AI in Software Development Lifecycle Market Revenue (USD million), by Country 2023 & 2031
  76. Figure 76: South America Generative AI in Software Development Lifecycle Market Revenue Share (%), by Country 2023 & 2031
List of Tables
  1. Table 1: Global Generative AI in Software Development Lifecycle Market Revenue USD million Forecast, by Application 2018 & 2031
  2. Table 2: Global Generative AI in Software Development Lifecycle Market Revenue USD million Forecast, by End-user 2018 & 2031
  3. Table 3: Global Generative AI in Software Development Lifecycle Market Revenue USD million Forecast, by Region 2018 & 2031
  4. Table 4: Global Generative AI in Software Development Lifecycle Market Revenue USD million Forecast, by Application 2018 & 2031
  5. Table 5: Global Generative AI in Software Development Lifecycle Market Revenue USD million Forecast, by End-user 2018 & 2031
  6. Table 6: Global Generative AI in Software Development Lifecycle Market Revenue USD million Forecast, by Region 2018 & 2031
  7. Table 7: Global Generative AI in Software Development Lifecycle Market Revenue USD million Forecast, by Application 2018 & 2031
  8. Table 8: Global Generative AI in Software Development Lifecycle Market Revenue USD million Forecast, by End-user 2018 & 2031
  9. Table 9: Global Generative AI in Software Development Lifecycle Market Revenue USD million Forecast, by Country 2018 & 2031
  10. Table 10: United States Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  11. Table 11: Canada Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  12. Table 12: Mexico Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  13. Table 13: Global Generative AI in Software Development Lifecycle Market Revenue USD million Forecast, by Application 2018 & 2031
  14. Table 14: Global Generative AI in Software Development Lifecycle Market Revenue USD million Forecast, by End-user 2018 & 2031
  15. Table 15: Global Generative AI in Software Development Lifecycle Market Revenue USD million Forecast, by Country 2018 & 2031
  16. Table 16: Germany Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  17. Table 17: France Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  18. Table 18: Italy Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  19. Table 19: United Kingdom Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  20. Table 20: Netherlands Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  21. Table 21: Rest of Europe Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  22. Table 22: Global Generative AI in Software Development Lifecycle Market Revenue USD million Forecast, by Application 2018 & 2031
  23. Table 23: Global Generative AI in Software Development Lifecycle Market Revenue USD million Forecast, by End-user 2018 & 2031
  24. Table 24: Global Generative AI in Software Development Lifecycle Market Revenue USD million Forecast, by Country 2018 & 2031
  25. Table 25: China Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  26. Table 26: Japan Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  27. Table 27: India Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  28. Table 28: South Korea Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  29. Table 29: Taiwan Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  30. Table 30: Australia Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  31. Table 31: Rest of Asia-Pacific Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  32. Table 32: Global Generative AI in Software Development Lifecycle Market Revenue USD million Forecast, by Application 2018 & 2031
  33. Table 33: Global Generative AI in Software Development Lifecycle Market Revenue USD million Forecast, by End-user 2018 & 2031
  34. Table 34: Global Generative AI in Software Development Lifecycle Market Revenue USD million Forecast, by Country 2018 & 2031
  35. Table 35: Middle East Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  36. Table 36: Africa Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  37. Table 37: Global Generative AI in Software Development Lifecycle Market Revenue USD million Forecast, by Application 2018 & 2031
  38. Table 38: Global Generative AI in Software Development Lifecycle Market Revenue USD million Forecast, by End-user 2018 & 2031
  39. Table 39: Global Generative AI in Software Development Lifecycle Market Revenue USD million Forecast, by Country 2018 & 2031
  40. Table 40: Brazil Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  41. Table 41: Argentina Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  42. Table 42: Rest of South America Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  43. Table 43: Global Generative AI in Software Development Lifecycle Market Revenue USD million Forecast, by Application 2018 & 2031
  44. Table 44: Global Generative AI in Software Development Lifecycle Market Revenue USD million Forecast, by End-user 2018 & 2031
  45. Table 45: Global Generative AI in Software Development Lifecycle Market Revenue USD million Forecast, by Country 2018 & 2031
  46. Table 46: Code Generation and Auto-Completion Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  47. Table 47: Personalized Development Tools Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  48. Table 48: Natural Language Interfaces for Development Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  49. Table 49: AI-Enhanced Design and UX Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  50. Table 50: Others Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  51. Table 51: Global Generative AI in Software Development Lifecycle Market Revenue USD million Forecast, by Application 2018 & 2031
  52. Table 52: Global Generative AI in Software Development Lifecycle Market Revenue USD million Forecast, by End-user 2018 & 2031
  53. Table 53: Global Generative AI in Software Development Lifecycle Market Revenue USD million Forecast, by Country 2018 & 2031
  54. Table 54: U.K. Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  55. Table 55: Germany Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  56. Table 56: France Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  57. Table 57: Italy Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  58. Table 58: Spain Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  59. Table 59: Russia Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  60. Table 60: Benelux Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  61. Table 61: Nordics Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  62. Table 62: Rest of Europe Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  63. Table 63: Global Generative AI in Software Development Lifecycle Market Revenue USD million Forecast, by Application 2018 & 2031
  64. Table 64: Global Generative AI in Software Development Lifecycle Market Revenue USD million Forecast, by End-user 2018 & 2031
  65. Table 65: Global Generative AI in Software Development Lifecycle Market Revenue USD million Forecast, by Country 2018 & 2031
  66. Table 66: China Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  67. Table 67: Japan Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  68. Table 68: India Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  69. Table 69: South Korea Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  70. Table 70: ASEAN Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  71. Table 71: Oceania Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  72. Table 72: Rest of Asia Pacific Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  73. Table 73: Global Generative AI in Software Development Lifecycle Market Revenue USD million Forecast, by Application 2018 & 2031
  74. Table 74: Global Generative AI in Software Development Lifecycle Market Revenue USD million Forecast, by End-user 2018 & 2031
  75. Table 75: Global Generative AI in Software Development Lifecycle Market Revenue USD million Forecast, by Country 2018 & 2031
  76. Table 76: Turkey Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  77. Table 77: Israel Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  78. Table 78: GCC Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  79. Table 79: North Africa Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  80. Table 80: South Africa Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  81. Table 81: Rest of Middle East & Africa Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  82. Table 82: Global Generative AI in Software Development Lifecycle Market Revenue USD million Forecast, by Application 2018 & 2031
  83. Table 83: Global Generative AI in Software Development Lifecycle Market Revenue USD million Forecast, by End-user 2018 & 2031
  84. Table 84: Global Generative AI in Software Development Lifecycle Market Revenue USD million Forecast, by Country 2018 & 2031
  85. Table 85: Brazil Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  86. Table 86: Argentina Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
  87. Table 87: Rest of South America Generative AI in Software Development Lifecycle Market Revenue (USD million) Forecast, by Application 2018 & 2031
AspectsDetails
Study Period 2018-2032
Base Year 2023
Estimated Year 2024
Forecast Period2024-2032
Historical Period2018-2023
Growth RateCAGR of 35.3% from 2018-2032
Segmentation
    • By Application
      • Code Generation
      • Auto-Completion
      • Personalized Development Tools
      • Natural Language Interfaces for Development
      • AI-Enhanced Design
      • UX
      • Others
    • By End-user
      • Software Engineers/DevOps Professionals
      • Security Professionals/SecOps
  • By Geography
    • By Application
      • Code Generation and Auto-Completion
      • Personalized Development Tools
      • Natural Language Interfaces for Development
      • AI-Enhanced Design and UX
      • Others
    • Europe
      • U.K.
      • Germany
      • France
      • Italy
      • Spain
      • Russia
      • Benelux
      • Nordics
      • Rest of Europe
    • Asia Pacific
      • China
      • Japan
      • India
      • South Korea
      • ASEAN
      • Oceania
      • Rest of Asia Pacific
    • Middle East & Africa
      • Turkey
      • Israel
      • GCC
      • North Africa
      • South Africa
      • Rest of Middle East & Africa
    • South America
      • Brazil
      • Argentina
      • Rest of South America

STEP 1 - Identification of Relevant Samples Size from Population Database

Step Chart
bar chart
method chart

STEP 2 - Approaches for Defining Global Market Size (Value, Volume* & Price*)

approach chart
Top-down and bottom-up approaches are used to validate the global market size and estimate the market size for manufactures, regional segemnts, product and application.

Note* : In applicable scenarios

STEP 3 - Data Sources

Primary Research

  • Web Analytics
  • Survey Reports
  • Research Institute
  • Latest Research Reports
  • Opinion Leaders

Secondary Research

  • Annual Reports
  • White Paper
  • Latest Press Release
  • Industry Association
  • Paid Database
  • Investor Presentations
approach chart

STEP 4 - Data Triangulation

Involves using different sources of information in order to increase the validity of a study

These sources are likely to be stakeholders in a program - participants, other researchers, program staff, other community members, and so on.

Then we put all data in single framework & apply various statistical tools to find out the dynamic on the market.

During the analysis stage, feedback from the stakeholder groups would be compared to determine areas of agreement as well as areas of divergence

Additionally after gathering mix and scattered data from wide range of sources, data is triangull- ated and correlated to come up with estimated figures which are further validated through primary mediums, or industry experts, opinion leader.
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