Artificial Intelligence 6 min read

What’s the Current State of AIOps in China? Join the 2022 Survey

The article introduces the 2022 China AIOps Current Situation Survey, explains how rapid data growth and digital transformation are driving intelligent operations, outlines the joint effort of over 60 enterprises to compile the report, and invites industry professionals to contribute their insights through an online questionnaire.

Efficient Ops
Efficient Ops
Efficient Ops
What’s the Current State of AIOps in China? Join the 2022 Survey

China AIOps Current Situation Survey

The State Council’s "14th Five-Year Plan" highlights the explosion of data as a new opportunity for intelligent development. Accelerating intelligent application construction and upgrading across all stages improves infrastructure networking, intelligence, service, and collaboration, emphasizing the critical role of IT operations in enterprise management and business innovation.

With rapid internet and IT development, digital transformation, and the support of big data, cloud computing, and artificial intelligence, intelligent operations (AIOps) have become essential for managing vast physical assets, pinpointing faults, protecting networks, and rapidly iterating to meet changing demands.

Survey Overview

The China Academy of Information and Communications Technology (CAICT) and the Cloud Computing Open Source Industry Alliance launched the first domestic "China AIOps Current Situation Survey Report (2022)" to help enterprises understand the state of intelligent operations and promote effective technology adoption.

The survey has attracted nearly 60 enterprises and institutions, including high‑efficiency operations communities, major banks, telecom operators, cloud providers, and technology firms such as Tencent, Alibaba, Huawei Cloud, IBM, and many others.

AIOps Survey Questionnaire

Intelligent Operations Development Status

The concept of intelligent operations was first proposed by Gartner in 2016 and has since evolved across industries. This section investigates how enterprises understand the concept, their construction approaches, investment levels, and implementation methods.

Intelligent Operations Application Scenarios

Numerous application scenarios exist with varying complexity. This section aims to capture current usage, effectiveness, and maturity of intelligent operations tools and systems across different sectors.

Future Development and Challenges

Unlike traditional operations, building intelligent operations capabilities presents new challenges. This section explores the difficulties enterprises face, their future plans, and guidance for constructing robust intelligent operations capabilities.

Whether you are beginning your AIOps journey or are an industry expert, your feedback is valuable. All responses are confidential and will be used solely for the report. Participants may receive a commemorative gift from supporting organizations.

Contact Information

Name: Shang Mengchen Phone: 13261081232 Email: [email protected]

Artificial IntelligenceChinaAIOpsIntelligent OperationssurveyIT Operations
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Efficient Ops

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