This report describes and explains the generative AI in DevOps market and covers 2019-2024, termed the historic period, and 2024-2029, 2034F termed the forecast period. The report evaluates the market across each region and for the major economies within each region.
The global generative AI in DevOps market reached a value of nearly $1.87 billion in 2024, having grown at a compound annual growth rate (CAGR) of 38.80% since 2019. The market is expected to grow from $1.87 billion in 2024 to $9.58 billion in 2029 at a rate of 38.53%. The market is then expected to grow at a CAGR of 37.63% from 2029 and reach $47.3 billion in 2034.
Growth in the historic period resulted from the increasing internet penetration, rapid growth of the large language model (LLM), increasing demand for personalized AI solutions, increasing digital transformation across industries and rising adoption of cloud computing. Factors that negatively affected growth in the historic period was limited availability of skilled personnel and technical expertise.
Going forward, the growing adoption of automation, rising investment in AI startups, increasing usage of artificial intelligence, favorable government initiatives and expansion of the information communication technology industry will drive the growth. Factor that could hinder the growth of the generative artificial intelligence in development and operations (DevOps) market in the future include concerns regarding job displacement.
The global generative AI in DevOps market is fairly fragmented, with a large number of small players operating in the market. The top ten competitors in the market made up to 15.8% of the total market in 2023. Microsoft Corporation. was the largest competitor with a 2.52% share of the market, followed by Alphabet Inc. (Google LLC) with 2.20%, Amazon Web Services Inc. with 1.81%, International Business Machines Corporation with 1.79%, Oracle Corporation with 1.78%, NVIDIA Corporation with 1.58%, Cisco Systems Inc. with 1.43%, Capgemini SE with 0.98%, OpenAI with 0.91% and NetApp Inc. with 0.81%.
The generative AI in DevOps market is segmented by component into solutions and services. The solutions market was the largest segment of the generative AI in DevOps market segmented by component, accounting for 61.64% or $1.15 billion of the total in 2024. Going forward, the services segment is expected to be the fastest growing segment in the generative AI in DevOps market segmented by component, at a CAGR of 40.28% during 2024-2029.
The generative AI in DevOps market is segmented by deployment mode into cloud-based and on-premise. The cloud-based market was the largest segment of the generative AI in DevOps market segmented by deployment mode, accounting for 62.38% or $1.17 billion of the total in 2024. Going forward, the cloud-based segment is expected to be the fastest growing segment in the generative AI in DevOps market segmented by deployment mode, at a CAGR of 40.20% during 2024-2029.
The generative artificial intelligence in development and operations (DevOps) market is segmented by application into testing, monitoring, deployment, maintenance and other applications. The testing market was the largest segment of the generative artificial intelligence in development and operations (DevOps) market segmented by application, accounting for 36.62% or $687.76 million of the total in 2024. Going forward, the deployment segment is expected to be the fastest growing segment in the generative artificial intelligence in development and operations (DevOps) market segmented by application, at a CAGR of 42.68% during 2024-2029.
North America was the largest region in the generative artificial intelligence in development and operations (DevOps) market, accounting for 33.66% or $632.17 million of the total in 2024. It was followed by Asia Pacific, Western Europe and then the other regions. Going forward, the fastest-growing regions in the generative AI in DevOps market will be Asia Pacific and Middle East where growth will be at CAGRs of 45.24% and 42.25% respectively. These will be followed by Africa and South America where the markets are expected to grow at CAGRs of 40.65% and 39.65% respectively.
The top opportunities in the generative AI in DevOps markets segmented by component will arise in the solutions segment, which will gain $4.51 billion of global annual sales by 2029. The top opportunities in the generative AI in DevOps market segmented by deployment mode will arise in the cloud-based segment, which will gain $5.17 billion of global annual sales by 2029. The top opportunities in the generative AI in DevOps markets segmented by application will arise in the testing segment, which will gain $2.84 billion of global annual sales by 2029. The generative AI in DevOps market size will gain the most in USA at $1.8 billion.
Market-trend-based strategies for the generative artificial intelligence in development and operations (DevOps) market include focus on developing innovative solutions to enhance AI model training and deployment efficiency, concentrating on creating innovative solutions, like the Generative AI production stack and focusing on developing innovative products like AI-powered DevSecOps (Development, Security and Operations) platforms.
Player-adopted strategies in the generative AI in DevOps market include focus on expanding operational capabilities through new product launches and focus on strengthening its business capabilities through strategic partnerships.
To take advantage of the opportunities, the analyst recommends the generative AI in DevOps companies to focus on leveraging AI infrastructure and partnerships to enhance DevOps automation, focus on adopting generative ai production stacks to optimize DevOps workflows, focus on integrating ai-powered DevSecOps platforms for faster, more secure software delivery, focus on targeting the growing services segment for maximum market expansion, focus on expanding cloud-based solutions to maximize market growth, expand in emerging markets, focus on expanding distribution channels through strategic partnerships, focus on developing competitive and flexible pricing strategies, focus on targeted marketing campaigns, focus on building strong relationships through partnerships and focus on expanding the deployment segment for rapid growth.
The global generative AI in DevOps market reached a value of nearly $1.87 billion in 2024, having grown at a compound annual growth rate (CAGR) of 38.80% since 2019. The market is expected to grow from $1.87 billion in 2024 to $9.58 billion in 2029 at a rate of 38.53%. The market is then expected to grow at a CAGR of 37.63% from 2029 and reach $47.3 billion in 2034.
Growth in the historic period resulted from the increasing internet penetration, rapid growth of the large language model (LLM), increasing demand for personalized AI solutions, increasing digital transformation across industries and rising adoption of cloud computing. Factors that negatively affected growth in the historic period was limited availability of skilled personnel and technical expertise.
Going forward, the growing adoption of automation, rising investment in AI startups, increasing usage of artificial intelligence, favorable government initiatives and expansion of the information communication technology industry will drive the growth. Factor that could hinder the growth of the generative artificial intelligence in development and operations (DevOps) market in the future include concerns regarding job displacement.
The global generative AI in DevOps market is fairly fragmented, with a large number of small players operating in the market. The top ten competitors in the market made up to 15.8% of the total market in 2023. Microsoft Corporation. was the largest competitor with a 2.52% share of the market, followed by Alphabet Inc. (Google LLC) with 2.20%, Amazon Web Services Inc. with 1.81%, International Business Machines Corporation with 1.79%, Oracle Corporation with 1.78%, NVIDIA Corporation with 1.58%, Cisco Systems Inc. with 1.43%, Capgemini SE with 0.98%, OpenAI with 0.91% and NetApp Inc. with 0.81%.
The generative AI in DevOps market is segmented by component into solutions and services. The solutions market was the largest segment of the generative AI in DevOps market segmented by component, accounting for 61.64% or $1.15 billion of the total in 2024. Going forward, the services segment is expected to be the fastest growing segment in the generative AI in DevOps market segmented by component, at a CAGR of 40.28% during 2024-2029.
The generative AI in DevOps market is segmented by deployment mode into cloud-based and on-premise. The cloud-based market was the largest segment of the generative AI in DevOps market segmented by deployment mode, accounting for 62.38% or $1.17 billion of the total in 2024. Going forward, the cloud-based segment is expected to be the fastest growing segment in the generative AI in DevOps market segmented by deployment mode, at a CAGR of 40.20% during 2024-2029.
The generative artificial intelligence in development and operations (DevOps) market is segmented by application into testing, monitoring, deployment, maintenance and other applications. The testing market was the largest segment of the generative artificial intelligence in development and operations (DevOps) market segmented by application, accounting for 36.62% or $687.76 million of the total in 2024. Going forward, the deployment segment is expected to be the fastest growing segment in the generative artificial intelligence in development and operations (DevOps) market segmented by application, at a CAGR of 42.68% during 2024-2029.
North America was the largest region in the generative artificial intelligence in development and operations (DevOps) market, accounting for 33.66% or $632.17 million of the total in 2024. It was followed by Asia Pacific, Western Europe and then the other regions. Going forward, the fastest-growing regions in the generative AI in DevOps market will be Asia Pacific and Middle East where growth will be at CAGRs of 45.24% and 42.25% respectively. These will be followed by Africa and South America where the markets are expected to grow at CAGRs of 40.65% and 39.65% respectively.
The top opportunities in the generative AI in DevOps markets segmented by component will arise in the solutions segment, which will gain $4.51 billion of global annual sales by 2029. The top opportunities in the generative AI in DevOps market segmented by deployment mode will arise in the cloud-based segment, which will gain $5.17 billion of global annual sales by 2029. The top opportunities in the generative AI in DevOps markets segmented by application will arise in the testing segment, which will gain $2.84 billion of global annual sales by 2029. The generative AI in DevOps market size will gain the most in USA at $1.8 billion.
Market-trend-based strategies for the generative artificial intelligence in development and operations (DevOps) market include focus on developing innovative solutions to enhance AI model training and deployment efficiency, concentrating on creating innovative solutions, like the Generative AI production stack and focusing on developing innovative products like AI-powered DevSecOps (Development, Security and Operations) platforms.
Player-adopted strategies in the generative AI in DevOps market include focus on expanding operational capabilities through new product launches and focus on strengthening its business capabilities through strategic partnerships.
To take advantage of the opportunities, the analyst recommends the generative AI in DevOps companies to focus on leveraging AI infrastructure and partnerships to enhance DevOps automation, focus on adopting generative ai production stacks to optimize DevOps workflows, focus on integrating ai-powered DevSecOps platforms for faster, more secure software delivery, focus on targeting the growing services segment for maximum market expansion, focus on expanding cloud-based solutions to maximize market growth, expand in emerging markets, focus on expanding distribution channels through strategic partnerships, focus on developing competitive and flexible pricing strategies, focus on targeted marketing campaigns, focus on building strong relationships through partnerships and focus on expanding the deployment segment for rapid growth.
Major Market Trends
- Advancements in AI Infrastructure for Enhanced DevOps Automation and Scalability
- Innovative Generative AI Production Stack Enhances DevOps Automation and Scalability
- AI-Powered DevSecOps Platform Enhances Security and Developer Efficiency for Cloud-Native Applications
Key Mergers and Acquisitions
- Nvidia Acquires OctoAI for $250 Million to Strengthen Enterprise AI and Generative AI Solutions
- Jfrog Acquires Qwak for $230 Million to Enhance MlOps Capabilities and Strengthen AI-Driven DevOps Platform
- Cisco Acquires Splunk for $28 Billion to Enhance AI-Driven Solutions in Security, IT Operations and Cloud Services
Table of Contents
1 Executive Summary
6 Market Characteristics
7 Major Market Trends
8 Generative AI in DevOps Market - Macro Economic Scenario
9 Global Market Size and Growth
10 Global Generative AI in DevOps Market Segmentation
11 Generative AI in DevOps Market, Regional and Country Analysis
12 Asia-Pacific Market
13 Western Europe Market
14 Eastern Europe Market
15 North America Market
16 South America Market
17 Middle East Market
18 Africa Market
19 Competitive Landscape and Company Profiles
20 Other Major and Innovative Companies
23 Key Mergers and Acquisitions
24 Opportunities and Strategies
25 Generative AI in DevOps Market, Conclusions and Recommendations
26 Appendix
Executive Summary
Generative AI in DevOps Global Market Opportunities and Strategies to 2034 provides the strategists; marketers and senior management with the critical information they need to assess the global generative AI in DevOps market as it emerges from the COVID-19 shut down.Reasons to Purchase:
- Gain a truly global perspective with the most comprehensive report available on this market covering 15 geographies.
- Understand how the market is being affected by the coronavirus and how it is likely to emerge and grow as the impact of the virus abates.
- Create regional and country strategies on the basis of local data and analysis.
- Identify growth segments for investment.
- Outperform competitors using forecast data and the drivers and trends shaping the market.
- Understand customers based on the latest market research findings.
- Benchmark performance against key competitors.
- Utilize the relationships between key data sets for superior strategizing.
- Suitable for supporting your internal and external presentations with reliable high-quality data and analysis.
Description
Where is the largest and fastest-growing market for generative AI in DevOps? 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 DevOps 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 history and forecasts market growth by geography. It places the market within the context of the wider generative AI in DevOps market; and compares it with other markets.
The report covers the following chapters:
- Introduction and Market Characteristics - Brief introduction to the segmentations covered in the market, definitions and explanations about the segment by component, by deployment mode and by application.
- Key Trends - Highlights the major trends shaping the global market. This section also highlights likely future developments in the market.
- Macro-Economic Scenario - the report provides an analysis of the impact of the COVID-19 pandemic, impact of the Russia-Ukraine war and impact of rising inflation on global and regional markets, providing strategic insights for businesses in the generative AI in DevOps market.
- Global Market Size and Growth - Global historic (2019-2024) and forecast (2024-2029, 2034F) market values and drivers and restraints that support and control the growth of the market in the historic and forecast periods.
- Regional and Country Analysis - Historic (2019-2024) and forecast (2024-2029, 2034F) market values and growth and market share comparison by region and country.
- Market Segmentation - Contains the market values (2019-2024) (2024-2029, 2034F) and analysis for each segment by component, by deployment mode and by application in the market. Historic (2019-2024) and forecast (2024-2029) and (2029-2034) market values and growth and market share comparison by region market.
- Regional Market Size and Growth - Regional market size (2024), historic (2019-2024) and forecast (2024-2029, 2034F) market values and growth and market share comparison of countries within the region. This report includes information on all the regions Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa and major countries within each region.
- Competitive Landscape - Details on the competitive landscape of the market, estimated market shares and company profiles of the leading players.
- Other Major and Innovative Companies Details on the company profiles of other major and innovative companies in the market.
- Competitive Benchmarking - Briefs on the financials comparison between major players in the market.
- Competitive Dashboard - Briefs on competitive dashboard of major players.
- Key Mergers and Acquisitions - Information on recent mergers and acquisitions in the market is covered in the report. This section gives key financial details of mergers and acquisitions which have shaped the market in recent years.
- Market Opportunities and Strategies - Describes market opportunities and strategies based on findings of the research, with information on growth opportunities across countries, segments and strategies to be followed in those markets.
- Conclusions and Recommendations - This section includes recommendations for generative AI in DevOps providers in terms of product/service offerings geographic expansion, marketing strategies and target groups.
- Appendix - This section includes details on the NAICS codes covered, abbreviations and currencies codes used in this report.
Markets Covered:
1) by Component: Solutions; Services2) by Deployment Mode: on-Premise; Cloud-Based
3) by Application: Testing; Deployment; Monitoring; Maintenance; Other Applications
Key Companies Mentioned: Microsoft Corporation; Alphabet Inc. (Google LLC); Amazon Web Services Inc.; International Business Machines Corporation; Oracle Corporation
Countries: China; Australia; India; Indonesia; Japan; South Korea; USA; Canada; Brazil; France; Germany; UK; Italy; Spain; Russia
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; generative AI in DevOps indicators comparison.
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.
Companies Mentioned
Some of the major companies featured in this Generative AI in DevOps market report include:- Microsoft Corporation
- Alphabet Inc. (Google LLC)
- Amazon Web Services Inc.
- International Business Machines Corporation
- Oracle Corporation
- NVIDIA Corporation
- Cisco Systems Inc.
- Capgemini SE
- OpenAI
- NetApp Inc.
- Tech Mahindra
- Infosys AI and Automation
- SoftBank Corp
- Preferred Networks
- NEC Corporation
- SK Telecom
- Samsung Electronics
- Canva
- Cochlear Limited
- Gojek
- Huawei
- Alibaba Cloud
- JD Cloud & AI
- Orange Business Services
- Eviden
- FEV.io
- Merck Group
- Deloitte
- OVHcloud
- Grant Thornton
- Druid AI
- DataRobot
- Endava
- SoftOne Technologies
- Luxoft
- OctoML, Inc.
- Meta Platforms Inc.
- Palantir Technologies Inc.
- Cohere Inc.
- Salesforce, Inc.
- Digital.ai Software, Inc.
- Splunk Technology
- Cisco Systems, Inc.
- Calance
- Dynatrace LLC.
- Red Hat Software
- Chef Software
- Atlassian
- Dell Technologies Inc.
- Encora Digital LLC
- Accenture plc
- Totvs
- Stefanin
- Mercado Libre
- Globant
- Despegar
- Qwak
- JFrog
- Mobileye
- Saudi Aramco
- Kubiya
- Copado
- Flutterwave
- GreyDots AI
- JUMO
- Sensi.AI
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 294 |
| Published | February 2025 |
| Forecast Period | 2024 - 2034 |
| Estimated Market Value ( USD | $ 1.87 Billion |
| Forecasted Market Value ( USD | $ 47.3 Billion |
| Compound Annual Growth Rate | 38.1% |
| Regions Covered | Global |
| No. of Companies Mentioned | 67 |
