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Generative Artificial Intelligence (AI) in development and operations (DevOps) refers to the integration of AI models capable of producing new content, such as code, configurations or test cases, into the DevOps lifecycle. This integration aims to enhance automation, efficiency and innovation in software development and operational processes.

The global generative artificial intelligence in development and operations (DevOps) market was valued at $364.54 million in 2019 which grew till 2024 at a compound annual growth rate (CAGR) of more than 38.00%.

Increasing Internet Penetration

Increasing internet penetration boosted the growth of generative AI in DevOps market during the historic period. The increase in internet penetration has enhanced access to cloud-based tools and collaborative platforms, which are essential for integrating generative artificial intelligence into development and operations workflows. This connectivity enables seamless data sharing, real-time analysis and automation, driving efficiency and adoption in the development and operations market. For instance, in October 2022, according to DataReportal, a Singapore-based online reference library, a total of 5.07 billion people around the world used the internet, equivalent to 63.5% of the world's total population. Internet users continue to grow too, with the data indicating that the world's connected population grew by more than 170 million in the past 12 months. Additionally, according to the ITU (International Telecommunication Union), globally, the percentage of households with internet access increased from 54.7% in 2018 to 57% in 2019. About 4.5 billion people had access to the internet in 2019. Initiatives such as Internet.org by Facebook also contributed to the rise in internet penetration. Therefore, increasing internet penetration boosted the growth of generative AI in DevOps market.

Advancements In AI Infrastructure For Enhanced DevOps Automation And Scalability

Major companies in the generative AI in DevOps market are focusing on developing innovative solutions to enhance AI model training and deployment efficiency, driving advancements in automation and scalability for DevOps processes. For instance, in September 2024, Intel Corporation, a US-based technology company and manufacturer of semiconductor products, launched Xeon 6, with Performance-cores (P-cores) and Gaudi 3 AI, specialized hardware accelerators, to meet the growing demand for cost-effective AI infrastructure. The Xeon 6 delivers twice the performance of its predecessor, offering increased core count, doubled memory bandwidth and AI acceleration capabilities. The Gaudi 3 AI accelerator is specifically optimized for large-scale generative AI, offering 64 Tensor processor cores and eight matrix multiplication engines for deep neural network computations. It also includes 128 gigabytes of HBM2e memory for training and inference and 24 200 Gigabit Ethernet ports for scalable networking. Intel has also announced a collaboration with IBM, a US-based technology company, to deploy Intel Gaudi 3 AI accelerators as a service on IBM Cloud, aiming to lower the total cost of ownership, while enhancing performance. Intel's robust x86 infrastructure and extensive open ecosystem position it to support enterprises in building high-value AI systems with optimal TCO (Total Cost of Ownership) and performance per watt.

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.

Generative AI In DevOps Global Market Opportunities And Strategies To 2034 from The Business Research Company 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

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 from The Business Research Company 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

Markets Covered:

Table of Contents

1 Executive Summary

2 Table Of Contents

3 List Of Tables

4 List Of Figures

5 Report Structure

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

21 Competitive Benchmarking

22 Competitive Dashboard

23 Key Mergers And Acquisitions

24 Opportunities And Strategies

25 Generative AI In DevOps Market, Conclusions And Recommendations

26 Appendix

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