The generative AI in software development lifecycle market size is expected to see exponential growth in the next few years. It will grow to $1.86 billion in 2028 at a compound annual growth rate (CAGR) of 38.8%. The anticipated growth in the forecast period is expected to be driven by several factors including the rise in remote work arrangements, the growing pace of digital transformations across industries, increased investment in big data and analytics, rising demand for efficient software development processes, and the growing need for personalized user experiences. Key trends in the forecast period are expected to include advancements in artificial intelligence, the adoption of agile and iterative development methodologies, the utilization of generative AI tools, the proliferation of open-source software, the development of generative AI technology, and the increasing use of cloud-based technologies in software development.
The increasing demand for automation is set to drive the growth of the generative AI in software development lifecycle market. Automation, leveraging technologies to provide goods and services with minimal human involvement, is becoming increasingly sought after due to its ability to enhance efficiency, scalability, cost-effectiveness, and reduce errors across various industries and processes. Generative AI-powered automation tools are capable of automatically generating code snippets based on high-level specifications or design patterns, thereby augmenting the capabilities of generative AI in software development and reducing manual effort, while ensuring the delivery of high-quality software solutions. For example, in a survey conducted by Camunda in January 2022 among 600 IT professionals from North America and Europe, over four in five respondents (82%) expressed that process automation is a higher priority for their organizations compared to the previous year. Consequently, the rising demand for automation is propelling the growth of the generative AI in software development lifecycle market.
Key players in the generative AI in software development lifecycle market are actively engaged in developing innovative solutions to enhance software security and drive revenue growth. One such innovation is the development of generative AI assistants, AI-powered tools that aid developers by autonomously generating code snippets, documentation, or assisting in security analysis, thereby boosting productivity and efficiency. For instance, in June 2023, Harness Inc., a US-based software delivery platform company, introduced AIDA (AI Development Assistant), a generative AI assistant tailored to streamline the software development lifecycle. AIDA assists developers at every stage of the lifecycle, offering features such as automatic resolution of build and deployment failures, identifying and fixing security vulnerabilities, and managing cloud costs using natural language.
In July 2023, Databricks Inc., a US-based global data, analytics, and artificial intelligence company, acquired MosaicML for approximately $1.3 billion. This strategic acquisition aims to democratize access to generative AI, enabling organizations of all sizes to develop, own, and secure generative AI models using their proprietary data. MosaicML, a US-based generative AI development platform, adds significant value to Databricks' portfolio, positioning the company as a leader in the generative AI space and empowering businesses to leverage the transformative potential of generative AI in their software development processes.
Major companies operating in the generative AI in software development lifecycle market are Google LLC, Microsoft Corporation, Alibaba Cloud LLC, Amazon Web Services Inc., Accenture plc, International Business Machines Corporation, Cisco Systems Inc., Oracle Corporation, SAP SE, Nvidia Corporation, Capgemini SE, Infosys Limited, HCL Technologies Limited, Wipro Limited, Red Hat Inc., Atlassian Corporation Plc, Reply, Thoughtworks Inc., GitHub Inc., C3 AI Inc., Harness Inc., CloudBees Inc., Hugging Face Inc., Replit, Tabnine Ltd.
North America was the largest region in the generative AI in software development lifecycle market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative ai in software development lifecycle market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the generative ai in software development lifecycle market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Generative AI in the software development lifecycle involves the integration of artificial intelligence techniques, particularly generative models, into different stages of software development processes. This integration aims to accelerate development cycles, minimize manual effort, and enhance the creation of efficient and reliable software solutions.
The primary components of generative AI in the software development lifecycle include solutions and services. Services encompass non-physical, intangible aspects of the economy, contrasting with tangible goods that can be touched or handled. Deployment modes include both on-premise and cloud-based solutions, catering to various applications such as code generation, code optimization, bug detection, testing and quality assurance, among others. Generative AI is utilized by a range of end-users including software engineers, DevOps professionals, security professionals, and SecOps teams.
The generative AI in software development lifecycle market research report is one of a series of new reports that provides generative AI in software development lifecycle market statistics, including the generative AI in software development lifecycle industry global market size, regional shares, competitors with generative AI in software development lifecycle market share, detailed generative AI in software development lifecycle market segments, market trends, and opportunities, and any further data you may need to thrive in the generative AI in software development lifecycle industry. This generative AI in software development lifecycle market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.
The generative AI in software development lifecycle market includes revenues earned by entities by providing services, such as requirement analysis, prototyping and design, code generation, testing automation, debugging assistance, performance optimization, and bug prediction and prevention. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
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Table of Contents
Executive Summary
Generative AI in Software Development Lifecycle Global Market Report 2024 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses on generative AI in software development lifecycle market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for generative AI in software development lifecycle ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The generative AI in software development lifecycle market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include:
- The impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.
- The impact of higher inflation in many countries and the resulting spike in interest rates.
- The continued but declining impact of COVID-19 on supply chains and consumption patterns.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.
Scope
Markets Covered:
1) by Component: Solutions; Services2) by Deployment Mode: on-Premise; Cloud-Based
3) by Application: Code Generation; Code Optimization; Bug Detection; Testing and Quality Assurance; Other Applications
4) by End-User: Software Engineers Or DevOps Professionals; Security Professionals Or SecOps
Key Companies Mentioned: Google LLC; Microsoft Corporation; Alibaba Cloud LLC; Amazon Web Services Inc.; Accenture plc
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: PDF, Word and Excel Data Dashboard.
Companies Mentioned
- Google LLC
- Microsoft Corporation
- Alibaba Cloud LLC
- Amazon Web Services Inc.
- Accenture plc
- International Business Machines Corporation
- Cisco Systems Inc.
- Oracle Corporation
- SAP SE
- Nvidia Corporation
- Capgemini SE
- Infosys Limited
- HCL Technologies Limited
- Wipro Limited
- Red Hat Inc.
- Atlassian Corporation Plc
- Reply
- Thoughtworks Inc.
- GitHub Inc.
- C3 AI Inc.
- Harness Inc.
- CloudBees Inc.
- Hugging Face Inc.
- Replit
- Tabnine Ltd.
Methodology
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Table Information
Report Attribute | Details |
---|---|
No. of Pages | 175 |
Published | June 2024 |
Forecast Period | 2024 - 2028 |
Estimated Market Value ( USD | $ 0.5 Billion |
Forecasted Market Value ( USD | $ 1.86 Billion |
Compound Annual Growth Rate | 38.8% |
Regions Covered | Global |
No. of Companies Mentioned | 25 |