Generative AI in Software Development Lifecycle Market Size, Share, Growth and Global Industry Analysis By Type & Application, Regional Insights and Forecast to 2024-2032
Growth Factors of Generative AI in Software Development Lifecycle Market
The Generative AI in Software Development Lifecycle Market size was valued at USD 265.9 million in 2022. The market is projected to grow from USD 341.3 million in 2023 to USD 2,833.9 million by 2030, exhibiting a CAGR of 35.3% during the forecast period of 2024-2032.
The pandemic increased the adoption of generative AI within the software improvement lifecycle (SDLC) as groups sought to preserve productiveness with fewer resources. Remote work pushed developers to adopt equipment that would automate repetitive duties, including code testing and renovation. This fashion enabled faster iterations and decreased time-to-marketplace, providing companies a aggressive aspect. However, the transition to AI tools also highlighted challenges, including the need for professional employees and issues around information security and privateness.
A key trend is the growing use of AI-powered development equipment, including code-generation fashions that guide developers with the aid of offering snippets and scaffolding for complicated coding obligations. These gear are actually incorporated throughout SDLC tiers, from requirement analysis to maintenance, presenting productiveness boosts. Developers are increasingly more counting on AI to generate prototypes and automate testing, liberating time for innovative and strategic sports.
One of the foremost factors riding the adoption of generative AI in SDLC is the need for quicker product delivery. As agencies prioritize agility, AI allows by using automating coding and checking out, ensuring quicker iterations with fewer insects. Additionally, the stress to innovate and supply new software program functions in a competitive panorama makes AI equipment precious for streamlining approaches and decreasing improvement cycles.
Comprehensive Analysis of Generative AI in Software Development Lifecycle Market
The Generative AI in Software Development Lifecycle Market growth is rising at an exponential rate due to its marketplace segmentation. This market expansion correctly affords a detailed local assessments thinking about the dominant supply and call for forces that effect the enterprise. These segmentations are methodically segregated by type, by application. By Application include Code Generation and Auto-Completion, Personalized Development Tools, Natural Language Interfaces for Development, AI-Enhanced Design and UX, Others (Documentation Generation and Code Security and Compliance) .By End-user include Software Engineers/DevOps Professionals, Security Professionals/SecOps.
The North America location lead the Generative AI in Software Development Lifecycle Market share percentage via benefitting a marketplace size of USD 110.0 million North America is estimated to hold the highest market share due to the presence of a large number of AI-generated data analytics tool providers across the region.
The top players in the market play a crucial role in the industry assuring market growth and setting market standards. These players include, Google LLC (Alphabet, Inc.), Magic Leap, Inc., ReWalk Robotics, SAMSUNG, B-Temia, Panasonic Holdings Corporation, NVIDIA Corporation, Microsoft, Ekso Bionics, Vuzix,these market players provide a level-playing competitive landscape.
December 2023 – Google Duet AI launched GenAI, a tool designed to manage the entire software improvement lifestyles cycle in cloud infrastructure. GenAI enables to reduce mistakes, decorate productivity, and enhance the time taken via software program projects via automating obligations together with testing, code era, and deployment.
Segmentation Table
ATTRIBUTE DETAILS
Study Period 2019-2030
Base Year 2022
Estimated Year 2023
Forecast Period 2023-2030
Historical Period 2019-2021
Growth Rate CAGR of 35.3% from 2023 to 2030
Unit Value (USD million)
Segmentation By Application
Code Generation and Auto-Completion
Personalized Development Tools
Natural Language Interfaces for Development
AI-Enhanced Design and UX
Others (Documentation Generation and Code Security and Compliance)
By End-user
Software Engineers/DevOps Professionals
Security Professionals/SecOps
By Region
North America (By Application, By End-user, and By Country)
US
Canada
Mexico
Europe (By Application, By End-user, and By Country)
U.K.
Germany
France
Italy
Spain
Russia
Benelux
Nordics
Rest of Europe
Asia Pacific (By Application, By End-user, and By Country)
China
Japan
India
South Korea
ASEAN
Oceania
Rest of Asia Pacific
Middle East & Africa (By Application, By End-user, and By Country)
Turkey
Israel
GCC
North Africa
South Africa
Rest of Middle East & Africa
South America (By Application, By End-user, and By Country)
Brazil
Argentina
Rest of South America
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- 1. Introduction
- 1.1. Definition, By Segment
- 1.2. Research Methodology/Approach
- 1.3. Data Sources
- 2. Executive Summary
- 3. Market Dynamics
- 3.1. Macro and Micro Economic Indicators
- 3.2. Drivers, Restraints, Opportunities and Trends
- 3.3. Impact of COVID-19
- 4. Competition Landscape
- 4.1. Business Strategies Adopted by Key Players
- 4.2. Consolidated SWOT Analysis of Key Players
- 4.3. Global Generative AI In Software Development Lifecycle Key Players Market Share/Ranking, 2022
- 5. Global Generative AI in Software Development Lifecycle Market Size Estimates and Forecasts, By Segments, 2019-2030
- 5.1. Key Findings
- 5.2. By Application (USD)
- 5.2.1. Code Generation and Auto-Completion
- 5.2.2. Personalized Development Tools
- 5.2.3. Natural Language Interfaces for Development
- 5.2.4. AI-Enhanced Design and UX
- 5.2.5. Others (Documentation Generation, Code Security and Compliance, etc.)
- 5.3. By End-User (USD)
- 5.3.1. Software Engineers/DevOps Professionals
- 5.3.2. Security Professionals/SecOps
- 5.4. By Region (USD)
- 5.4.1. North America
- 5.4.2. Europe
- 5.4.3. Asia Pacific
- 5.4.4. Middle East & Africa
- 5.4.5. South America
- 6. North America Generative AI in Software Development Lifecycle Market Size Estimates and Forecasts, By Segments, 2019-2030
- 6.1. Key Findings
- 6.2. By Application (USD)
- 6.2.1. Code Generation and Auto-Completion
- 6.2.2. Personalized Development Tools
- 6.2.3. Natural Language Interfaces for Development
- 6.2.4. AI-Enhanced Design and UX
- 6.2.5. Others
- 6.3. By End-User (USD)
- 6.3.1. Software Engineers/DevOps Professionals
- 6.3.2. Security Professionals/SecOps
- 6.4. By Country (USD)
- 6.4.1. United States
- 6.4.2. Canada
- 6.4.3. Mexico
- 7. Europe Generative AI in Software Development Lifecycle Market Size Estimates and Forecasts, By Segments, 2019-2030
- 7.1. Key Findings
- 7.2. By Application (USD)
- 7.2.1. Code Generation and Auto-Completion
- 7.2.2. Personalized Development Tools
- 7.2.3. Natural Language Interfaces for Development
- 7.2.4. AI-Enhanced Design and UX
- 7.2.5. Others
- 7.3. By End-User (USD)
- 7.3.1. Software Engineers/DevOps Professionals
- 7.3.2. Security Professionals/SecOps
- 7.4. By Country (USD)
- 7.4.1. United Kingdom
- 7.4.2. Germany
- 7.4.3. France
- 7.4.4. Italy
- 7.4.5. Spain
- 7.4.6. Russia
- 7.4.7. Benelux
- 7.4.8. Nordics
- 7.4.9. Rest of Europe
- 8. Asia Pacific Generative AI in Software Development Lifecycle Market Size Estimates and Forecasts, By Segments, 2019-2030
- 8.1. Key Findings
- 8.2. By Application (USD)
- 8.2.1. Code Generation and Auto-Completion
- 8.2.2. Personalized Development Tools
- 8.2.3. Natural Language Interfaces for Development
- 8.2.4. AI-Enhanced Design and UX
- 8.2.5. Others
- 8.3. By End-User (USD)
- 8.3.1. Software Engineers/DevOps Professionals
- 8.3.2. Security Professionals/SecOps
- 8.4. By Country (USD)
- 8.4.1. China
- 8.4.2. India
- 8.4.3. Japan
- 8.4.4. South Korea
- 8.4.5. ASEAN
- 8.4.6. Oceania
- 8.4.7. Rest of Asia Pacific
- 9. Middle East & Africa Generative AI in Software Development Lifecycle Market Size Estimates and Forecasts, By Segments, 2019-2030
- 9.1. Key Findings
- 9.2. By Application (USD)
- 9.2.1. Code Generation and Auto-Completion
- 9.2.2. Personalized Development Tools
- 9.2.3. Natural Language Interfaces for Development
- 9.2.4. AI-Enhanced Design and UX
- 9.2.5. Others
- 9.3. By End-User (USD)
- 9.3.1. Software Engineers/DevOps Professionals
- 9.3.2. Security Professionals/SecOps
- 9.4. By Country (USD)
- 9.4.1. Turkey
- 9.4.2. Israel
- 9.4.3. GCC
- 9.4.4. North Africa
- 9.4.5. South Africa
- 9.4.6. Rest of MEA
- 10. South America Generative AI in Software Development Lifecycle Market Size Estimates and Forecasts, By Segments, 2019-2030
- 10.1. Key Findings
- 10.2. By Application (USD)
- 10.2.1. Code Generation and Auto-Completion
- 10.2.2. Personalized Development Tools
- 10.2.3. Natural Language Interfaces for Development
- 10.2.4. AI-Enhanced Design and UX
- 10.2.5. Others
- 10.3. By End-User (USD)
- 10.3.1. Software Engineers/DevOps Professionals
- 10.3.2. Security Professionals/SecOps
- 10.4. By Country (USD)
- 10.4.1. Brazil
- 10.4.2. Argentina
- 10.4.3. Rest of South America
- 11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)
- 11.1. SAP SE
- 11.1.1. Overview
- 11.1.1.1. Key Management
- 11.1.1.2. Headquarters
- 11.1.1.3. Offerings/Business Segments
- 11.1.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.1.2.1. Employee Size
- 11.1.2.2. Past and Current Revenue
- 11.1.2.3. Geographical Share
- 11.1.2.4. Business Segment Share
- 11.1.2.5. Recent Developments
- 11.2. Thoughtworks, Inc.
- 11.2.1. Overview
- 11.2.1.1. Key Management
- 11.2.1.2. Headquarters
- 11.2.1.3. Offerings/Business Segments
- 11.2.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.2.2.1. Employee Size
- 11.2.2.2. Past and Current Revenue
- 11.2.2.3. Geographical Share
- 11.2.2.4. Business Segment Share
- 11.2.2.5. Recent Developments
- 11.3. Harness Inc.
- 11.3.1. Overview
- 11.3.1.1. Key Management
- 11.3.1.2. Headquarters
- 11.3.1.3. Offerings/Business Segments
- 11.3.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.3.2.1. Employee Size
- 11.3.2.2. Past and Current Revenue
- 11.3.2.3. Geographical Share
- 11.3.2.4. Business Segment Share
- 11.3.2.5. Recent Developments
- 11.4. OpenAI OpCo, LLC
- 11.4.1. Overview
- 11.4.1.1. Key Management
- 11.4.1.2. Headquarters
- 11.4.1.3. Offerings/Business Segments
- 11.4.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.4.2.1. Employee Size
- 11.4.2.2. Past and Current Revenue
- 11.4.2.3. Geographical Share
- 11.4.2.4. Business Segment Share
- 11.4.2.5. Recent Developments
- 11.5. Amazon Web Services, Inc.
- 11.5.1. Overview
- 11.5.1.1. Key Management
- 11.5.1.2. Headquarters
- 11.5.1.3. Offerings/Business Segments
- 11.5.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.5.2.1. Employee Size
- 11.5.2.2. Past and Current Revenue
- 11.5.2.3. Geographical Share
- 11.5.2.4. Business Segment Share
- 11.5.2.5. Recent Developments
- 11.6. Tabnine Ltd.
- 11.6.1. Overview
- 11.6.1.1. Key Management
- 11.6.1.2. Headquarters
- 11.6.1.3. Offerings/Business Segments
- 11.6.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.6.2.1. Employee Size
- 11.6.2.2. Past and Current Revenue
- 11.6.2.3. Geographical Share
- 11.6.2.4. Business Segment Share
- 11.6.2.5. Recent Developments
- 11.7. Replit
- 11.7.1. Overview
- 11.7.1.1. Key Management
- 11.7.1.2. Headquarters
- 11.7.1.3. Offerings/Business Segments
- 11.7.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.7.2.1. Employee Size
- 11.7.2.2. Past and Current Revenue
- 11.7.2.3. Geographical Share
- 11.7.2.4. Business Segment Share
- 11.7.2.5. Recent Developments
- 11.8. Google LLC
- 11.8.1. Overview
- 11.8.1.1. Key Management
- 11.8.1.2. Headquarters
- 11.8.1.3. Offerings/Business Segments
- 11.8.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.8.2.1. Employee Size
- 11.8.2.2. Past and Current Revenue
- 11.8.2.3. Geographical Share
- 11.8.2.4. Business Segment Share
- 11.8.2.5. Recent Developments
- 11.9. C3 AI, Inc.
- 11.9.1. Overview
- 11.9.1.1. Key Management
- 11.9.1.2. Headquarters
- 11.9.1.3. Offerings/Business Segments
- 11.9.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.9.2.1. Employee Size
- 11.9.2.2. Past and Current Revenue
- 11.9.2.3. Geographical Share
- 11.9.2.4. Business Segment Share
- 11.9.2.5. Recent Developments
- 11.10. Reply
- 11.10.1. Overview
- 11.10.1.1. Key Management
- 11.10.1.2. Headquarters
- 11.10.1.3. Offerings/Business Segments
- 11.10.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.10.2.1. Employee Size
- 11.10.2.2. Past and Current Revenue
- 11.10.2.3. Geographical Share
- 11.10.2.4. Business Segment Share
- 11.10.2.5. Recent Developments
- 12. Key Takeaways
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