The container engine market in 2022

Container engines are platforms that allow you to run multiple containers on the same operating system (OS) kernel. They take user requests, command lines, and images and use them to manage the container in question.

Container engines provide an easy way to manage container environments and come from a variety of vendors, both open source and proprietary.

Here is everything you need to know about the global container engine market:

Container Engine Market

The global market for container services was valued at an estimated $1.6 billion in 2020. It is forecast to follow a compound annual growth rate (CAGR) of 31.7% over the analysis period of 2020 to 2027 and reach $11.2 billion by the end.

The container management and orchestration segment of the market is projected to reach a CAGR of 31% and reach $3.4 billion by 2027. The security segment is projected to maintain a revised CAGR of 34.4% over the analysis period.

Regionally, the global container engine market is segmented as follows:

  • The US market was valued at US$489 million in 2020, with a 30.5% share
  • The Chinese market is forecast to grow at a CAGR of 30.8% over the analysis period, which will reach US$1.9 billion by 2027
  • Japan and Canada are projected to grow 28.2% and 27.3%, respectively, annually over the forecast period
  • Within Europe, Germany is expected to maintain one of the highest CAGRs at 22.4%.
  • The Asia Pacific segment, led by Australia, India and South Korea, is projected to reach $1.3 billion by 2027

By industry, the application container services are used by multiple industries such as: e.g.:

  • Banking, Financial Services and Insurance (BFSI)
  • retail and consumer goods
  • Healthcare and Life Sciences
  • manufacturing
  • media and entertainment
  • Informatics and Telecommunications
  • transportation and logistics

The future of technical companies and organizations depends on application containers

Gartner roughly predicts that 75% of organizations will be using application containers in some form by the year 2024.

While the technology to create containers has been available for years, organizations need specialized software to run and manage containers at scale. There are numerous open-source and free engines such as Docker and Kubernetes, but many companies still choose to get containers as out-of-the-box services built, deployed, and managed by a third party.

“In many organizations, the number of containerized applications is growing rapidly. While containers in small batches are fairly easy to deploy and manage manually, managing a large batch is virtually impossible without automation,” says Mariano Lopez in a post at Hexacta.

“In an environment that emulates production, it’s possible to set up a test environment and, once approved, deploy the final code to production.”

Container Engine Features

Container engines become essential as the number and complexity of application containers grows in a single organization. Engines are ready-to-use software or managed services for running and managing application containers.

When based in the cloud, container engines can help to successfully plan Kubernetes container strategies and apply them to applications through automation and scalable operations.

Depending on the software or managed service, container engines have a number of features that streamline the creation, deployment, and long-term management of application containers, such as: e.g.:

Create a Kubernetes cluster

Container engines simplify the creation of the collection of nodes that make up and run a containerized application. They enable the scalability and continuous availability of container clusters.

Integrated cluster security

The flat network model of Kubernetes clusters facilitates communication between nodes, but a single compromised node can infiltrate the rest of the cluster. With container engines, you can isolate the cluster computing processes, protect the infrastructure from outside access, and maintain regulatory compliance.

Container logging and monitoring

Container engines are capable of collecting log data and metrics for container monitoring and performance measurement. The data includes the commands sent and received through the container as well as all activities that are supposed to take place inside a container.

Intelligent planning and automation

Container engines allow you to run and deploy containers on the hosts you choose. Resources are moved and redistributed to each container based on availability and traffic flow.

Task definition and management

Container engines can be used to define individual tasks and to specify the containers required for the task. Task management and definition in container engines is scalable and can be automated when large numbers are running over the network.

load balancing

Load balancing features manage the traffic coming into containers and ensure that the allocated resources are sufficient to handle it. Resources can be mixed and matched across the container network as needed, with specific configurations being set.

Container Engine Benefits

Leveraging the various container engine capabilities offered by the vendor, the benefits of using a container engine include:

  • Optimizes container management operations
  • Increases container performance
  • Improves the security of container applications
  • Automation of tasks and commands
  • Compatibility with multicloud and hybrid cloud solutions
  • Increases environmental flexibility
  • Optimizes IT costs sustainably
  • scalability

Container Engine Use Cases

Container engine software and services are used by organizations in various industries:

PayPal

PayPal is a multinational provider of financial technology services. Based in Palo Alto, California, PayPal services are supported in hundreds of countries as an alternative to traditional money transfer methods.

PayPal processes over 200 payments simultaneously across multiple financial services platforms. However, because PayPal works across multiple architectures and cloud environments, it suffered from a slow turnaround time for maintenance and deployment.

Working with MIRANTIS and Docker Enterprise, PayPal has containerized its applications and consistently managed the packages.

“With Docker Enterprise, we are discarding 15 years of toolsets and building a consistent operating model across multiple clouds.” says Meghdoot BhattacharyaCloud engineer, PayPal.

With Docker, PayPal was able to migrate over 7,000 of its applications into 200,000 containers, achieving a 50% increase in productivity.

AlteaCare

AlteaCare is a healthcare app that connects patients with healthcare providers in hospitals and clinics via video calls. Launched in Indonesia, the app had over 100,000 users and partnered with 17 hospitals.

As a company looking to grow rapidly over the next few years, AlteaCare leveraged containerization and the Amazon Elastic Kubernetes Service (EKS) as the containerization engine for the application.

“With the support of AWS solution architects and a suite of modern application services on AWS, we can maximize efficiencies with reduced time and effort to expand our market offering.” says William SuryawanCo-founder and COO, AlteaCare.

“By continuously optimizing our app on AWS, we have the opportunity to improve how patients interact with hospitals and ultimately provide a better patient experience.”

Working with Amazon, AlteaCare achieved a 30% cost reduction, a 60% faster time-to-market and official launch in one month instead of the planned three months.

Etihad Airways

Etihad Airways is an airline in the United Arab Emirates owned by the Abu Dhabi government. The airline operates a fleet of more than 120 aircraft with destinations on six continents.

Etihad Airways used a standard check-in application for its onboarding processes. With the launch of a side-by-side mobile app, the airline wanted to modernize the flight check-in experience for its customers to better align with its API-driven back-end technology.

Etihad Airways built its own application from scratch and used IBM Kubernetes to containerize its application, making it portable and compatible with different cloud environments. By migrating the workload, Etihad Airways deployed its app on the IBM Cloud Kubernetes Service.

“Kubernetes containerization is in line with our strategy of moving workloads across the platform. It will also help in development for mobile channels and kiosks, where we plan to reuse existing backend services.” says Takhliq HanifHead of Group Enterprise Architecture, Technology and Innovation, Etihad Airways.

“Traditionally, such a step would take weeks. With IBM Cloud, we were able to do this in a matter of hours, and that’s a really powerful thing.”

Etihad Airways’ new check-in solution generates 1,700 WhatsApp and 4,000 email boarding passes every day within the 15-week period for the app. It is also available in multiple languages.

Container Engine Provider

Some of the leading container engine providers in the global market are:

  • docker
  • AWS
  • Google cloud
  • IBM
  • Microsoft
  • oracle
  • red hat
  • Vmware
  • Kubernetes
  • sandbox

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