IDC Releases the Top 10 Predictions for DevOps Marketplace in 2020

Source: Internet
Author: User
Keywords devops marketplace devops 2020 predictions devops predictions
Beijing, February 10, 2020-IDC recently released "IDC FutureScape: Global Developers and DevOps Market 2020 Forecast". The report introduces the global developers and DevOps market in 2020, and provides ten predictions in 2020. A guide to actions that technology buyers in the DvOps market need to consider for the technology development path between 2020 and 2025.

The top ten prediction contents of IDC Chinese developers and DevOps market in 2020 are as follows:
Prediction 1: AI optimization for development is strengthened

By 2024, 56% of companies will not be limited to trying artificial intelligence (AI)/machine learning (ML) in application development. By that time, nearly 10% of optimization based on artificial intelligence (AI)/machine learning (ML) will Throughout software development, design, quality management, security and deployment. By 2023, 70% of companies will invest in employee retraining and development, including third-party services, to meet the demand for new skills and work style changes brought about by AI adoption.

Prediction 2: Container platforms are widely used

By 2024, 70% of all new applications developed using programming languages will be deployed in containers to achieve improvements in deployment speed, application consistency, and portability.

Forecast 3: Part-time developer growth
By 2023, the number of Chinese part-time developers (such as business analysts, data analysts, and data scientists) will double from 2019, from 1.8 million in 2019 to 3.6 million, with a compound annual growth rate of 12.2% . By 2020, 15% of customer experience applications will achieve hyper-personalization by continuously combining various data and innovative reinforcement learning algorithms.

Prediction 4: DevOps becomes a daily activity
By 2023, the number of organizations that release code for specific applications every day will rise from 3% in 2019 to 30%. By 2024, at least 90% of new enterprise AI application versions will incorporate embedded AI functions, but truly disruptive, AI-led applications will account for only 10% of the total.

Prediction 5: Acceleration of traditional application transformation
By 2022, the acceleration of traditional application modernization and new development will drive 25% of production applications to be cloud-native applications—using microservices, containers, and dynamic orchestration.

Prediction 6: DevOps begins to focus on business KPIs
By 2023, 40% of DevOps teams will invest in tools and focus on business KPIs (costs, revenue, etc.), while operations will play a more important role in end-to-end application performance and business impact.

Prediction 7: Use of analysis tools related to open source software drivers
The increasing reliance on open source components in applications has driven a sharp increase in software component analysis tools and related tools. By 2023, the use of software component analysis tools will expand from a small number of organizations to 45%.

Prediction 8: Enterprises establish development ecology
By 2023, 60% of Chinese G2000 companies will create their own software ecosystem, and 50% of companies will use publicly accessible community code libraries to access reusable code components.

Forecast 9: Open source software code base growth
By 2024, the share of open source software from public code bases in enterprise applications will double to 25%; the remaining 75% of the code is customized for the organization's business model or usage.

Prediction 10: The applicability of DevOps is confirmed
By 2024, applications that use DevOps entirely will account for less than 35%; companies have made it clear that not all applications can go from cross-development and production operations related to continuous development/continuous integration (CI/CD) Benefit from complexity.

It can be seen from the above predictions that the current emerging new business models and frequently changing service requirements pose challenges to the IT system support capabilities of enterprises. How to quickly establish new business systems and continuously respond to the system brought about by market changes Change has become the primary issue of the enterprise IT department. To cope with these external pressures, the company began to adopt modern methods for application development, packaging and testing. Machine learning (ML) and artificial intelligence (AI) are being widely used. IDC predicts that future work will be largely influenced by the work done by developers and the DevOps community in the next five years.

IDC China Enterprise Software Market Analyst Wang Nan said: "This report analyzes and discusses market trends and technological developments in the field of developers and DevOps and their impact on the digital transformation of enterprises, and provides corresponding responses for senior IT managers and business executives. Guidance to adjust their IT investment priorities and implementation strategies based on these technology and market forecasts."
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