Global Serverless Computing Market 2018-2023 – Serverless Computing Market will Approach $ 19.26B USD by 2025

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DUBLIN, Oct. 2, 2018 /PRNewswire/ —

The “Serverless Computing Market by Technology, Use Case, Application, and Industry Verticals 2018 – 2023” report has been added to’s offering.

This report assesses the serverless computing market including companies, strategies, solutions, applications, and services. The report evaluates the market for serverless computing by technology, use cases, application areas, and industry verticals. This includes analysis of serverless computing for Artificial Intelligence (AI) and Internet of Things (IoT) markets. This is further broken-down by AI type and IoT segment (consumer, enterprise, industrial, and government) respectively.

A misnomer term, serverless does not imply no-need for servers. What it does mean is that the entity that owns/controls a given system does not need to procure/lease and/or provision servers (or virtual machines) for “back-end” code and operations. The back-end refers to the data layer of software as compared to the “front-end”, which pertains to the presentation layer of the stack. From an ICT infrastructure perspective, serverless architecture represents a model in which applications are abstracted from hardware and software. This models may be viewed as Function as a Service (FaaS) in the sense that a third-party is responsible for infrastructure management, separating server operations from software development, maintenance, and evolution.

Third parties may be any entity other than the software developer, service provider, enterprise or consumer. For example, a given datacenter operator may provide various Back-end as a Service (BaaS) functions while another datacenter (or enterprise themselves) operate the front-end. This allows for flexibility as apps may be developed without any provisioned servers (e.g. “serverless”) and/or in the more traditional framework. It also allows for an enterprise to have much greater operational flexibility as software may be deployed in various combinations of FaaS, BaaS, and off-premise and/or on-premise configurations.

There are a few key operational challenges involved with serverless computing, which include architectural complexity, lack of operational management tools, and loss of control due to exposing APIs to third parties. Despite these issues, serverless computing is anticipated to be a great benefit to IT infrastructure service providers as well as enterprise in terms of expanded deployment options, improved operational flexibility, and reduced costs. These benefits are passed down to the end-user through reduced cost of operations as improved enterprise margins facilitates the ability to offer more competitive pricing for their own products and services.

The report also assesses the serverless computing market by deployment type, business size, connectivity, and cloud deployment model variants. Industry vertical coverage includes serverless computing in support of financial services, retail, healthcare, manufacturing, agriculture, and more.

Select Report Findings:

  • Over 25% of enterprise will deploy serverless applications by 2023
  • North America will lead the serverless market followed by Asia Pacific
  • Global serverless computing market will approach $ 19.26B USD by 2025
  • Testing and Debugging solution grow at highest CAGR during projected period

Select Report Benefits:

  • Serverless market outlook and forecasts
  • Understand drivers for serverless computing market
  • Identify opportunities for serverless involving AI and IoT
  • Recommendations for serverless ecosystem constituents
  • Understand serverless architecture and deployment considerations

Key Topics Covered:

1.0 Introduction
1.1 Serverless Computing Architecture
1.2 Serverless Computing Considerations
1.3 Serverless Computing Market Drivers
1.3.1 Reduction of Development, Operation, and Scaling Costs
1.3.2 Operation Optimization and Faster Execution
1.3.3 DevOps and the Serverless Ecosystem
1.3.4 Growth of Microservices Architecture supporting New Applications
1.3.5 Simplifying the Use of Cloud
1.3.6 Proliferation of Cloud Based IoT Apps with embedded AI Capabilities
1.3.7 Progress in Emerging Markets and Related Industry
1.3.8 Flexibility in Billing System with Pay per Use Model
1.4 Serverless Computing Market Challenges
1.4.1 Vendor Lock-in Ecosystem Creates Architectural Complexities
1.4.2 Threats Associated with Substitute Services and Third Party Services
1.4.3 Risks Associated with Policy, Security, and Compliance
1.4.4 Implementation Difficulties Related with Latency, Duration, Testing, Discovering, Debugging, and API Gateways
1.4.5 Not suited with High Performance Computing Workloads

2.0 Technology and Market Analysis
2.1 Serverless Technology and Virtualization
2.2 Function as a Service (FaaS) Ecosystem
2.2.1 Serverless Backend as a Service (BaaS)
2.2.2 State Management and Open Source Architecture
2.2.3 Abstraction Layers
2.2.4 Startup Latency and Tooling
2.2.5 API Gateway Management
2.2.6 Horizontally Scalable
2.2.7 Language Agnostic Endpoints
2.2.8 Serverless Apps
2.2.9 UI Driven vs. Message Driven Application
2.3 Merging Container with Serverless and Cloud
2.4 Serverless Database Provisioning
2.5 No Infrastructure Application Architecture
2.6 Serverless Security
2.7 Event-Driven Architectures
2.8 Kubernetes Containers
2.9 Serverless Computing Future
2.9.1 Virtual Machine to Serverless Framework
2.9.2 State Management and Tooling
2.9.3 Education and Platform Upgradation
2.9.4 Transparency Vision for Vendor
2.9.5 Growth of Multiple Pattern
2.9.6 Globally Distributed Architecture
2.9.7 Testing and Portable Implementation
2.10 AI Technology, Applications, and Edge Computing
2.11 Cellular vs. Non-cellular Connectivity

3.0 Application and Value Chain Analysis
3.1 Serverless Computing Application
3.1.1 Event Driven Computing
3.1.2 Live Video Broadcasting
3.1.3 Processing IoT Data
3.1.4 Shared Delivery Dispatch System
3.1.5 Web Application and Back-ends
3.1.6 Application Scalability
3.1.7 Sales opportunities and Customer Experience
3.2 Value Chain Analysis

4.0 Company Analysis
4.1 Amazon Web Services Inc.
4.2 Google Inc. (Google Cloud Platform)
4.3 Alibaba Cloud
4.5 IBM Corporation (IBM Cloud Functions)
4.6 Serverless Inc.
4.7 Microsoft Corporation (Azure Cloud)
4.8 Huawei Software Technologies Co. Ltd
4.9 Dell Boomi Inc.
4.10 Joyent Inc.
4.11 LunchBadger
4.12 Oracle Corporation
4.13 Other Companies
4.13.1 CA Technologies
4.13.2 Rackspace Inc.
4.13.3 TIBCO Software Inc.
4.13.4 Platform9 Systems Inc.
4.13.5 Syncano
4.13.6 StdLib
4.13.7 Realm
4.13.8 Backand
4.13.9 LEVARNE
4.13.10 Snyk Ltd.
4.13.11 Dynatrace
4.13.12 Fiorano Software Inc.
4.13.13 Manjrasoft Pty Ltd
4.13.14 SixSq
4.13.15 Twistlock Ltd.
4.13.16 Salesforce

5.0 Serverless Computing Market Analysis and Forecasts
5.1 Global Serverless Computing Market Forecast 2018 – 2023
5.1.1 Total Serverless Computing Market
5.1.2 Serverless Computing Market by Segment Serverless Computing Market by Solution Type Serverless Computing Market by Service Type Serverless Computing Market by Professional Service Type
5.1.3 Serverless Computing Market by Cloud Deployment Type
5.1.4 Serverless Computing Market by Enterprise Sector
5.1.5 Serverless Computing Market by Connectivity Type
5.1.6 Serverless Computing Market by Industry Vertical
5.1.7 Embedded AI Solution Market in Serverless Computing Embedded AI Solution Market in Serverless Computing by AI Technology
5.1.8 Serverless Computing Solution Market in IoT Serverless Computing Solution Market in IoT by Sector
5.1.9 Serverless Computing Solution Market in Edge Network
5.1.10 Serverless Computing Solution Market in Blockchain
5.1.11 Serverless Computing Solution Market in Virtualization
5.1.12 Serverless Computing Solution Market in Smart City
5.1.13 Serverless Computing Solution Market in 5G
5.2 Regional Serverless Computing Market Analysis and Forecasts

6.0 Conclusions and Recommendations
6.1 Advertisers and Media Companies
6.2 Artificial Intelligence Providers
6.3 Automotive Companies
6.4 Broadband Infrastructure Providers
6.5 Communication Service Providers
6.6 Computing Companies
6.7 Data Analytics Providers
6.8 Equipment (AR, VR, and MR) Providers
6.9 Networking Equipment Providers
6.10 Networking Security Providers
6.11 Semiconductor Companies
6.12 IoT Suppliers and Service Providers
6.13 Software Providers
6.14 Smart City System Integrators
6.15 Automation System Providers
6.16 Social Media Companies
6.17 Workplace Solution Providers
6.18 Enterprise and Government

For more information about this report visit

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