The global cloud engineering market is highly competitive. Various established international brands, domestic brands and as well as new entrants form a competitive landscape. The key players are nonstop increasingly seeking market expansion through various strategic mergers and acquisitions, innovation, increasing investments in research and development and cost-effective product portfolio. The Cloud Engineering Market is highly competitive due to the presence of several large vendors.
For instance, In July, 2017, Sogeti a subsidiary of Capgemini Group also global technology and engineering service provider has recently announced an agreement of 50 million euros with an energy network provider Enexis Group to transform more 200 enterprise applications to a public cloud environment.
The global cloud engineering market is expected to reach approximately USD 13 billion by the end of 2023 with 21% CAGR during forecast period 2017-2023.
The key players in the global cloud engineering market include- Trianz (US), Sogeti (Europe), GFT Technologies SE (Europe), Aricent Inc. (US), Rapidvalue Solutions Inc. (US), Engineering Ingegneria Informatica SpA (Europe), ITC Infotech India Ltd. (India), Calsoft Inc. (US), Nitor Infotech (India), VVDN Technologies (India) , Softcrylic LLC (US) and Searce Inc. (US), among others.
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The worldwide cloud engineering market has been split into six equal segments. These include, deployment, end-users, types, geographies, enterprise sizes and intended audience.
The deployment section is further divided into public, hybrid and private.
On the basis of end users, the market is fragmented into IT & telecommunications, government, BFSI, retail, healthcare and energy & utilities.
On account of types the market is segmented into design, cloud storage, consulting, integration, cloud security, training, integration and migration.
Region-wise, the market is branched across various places like North America, Europe, Asia Pacific and Rest of the World.
When it comes to enterprise sizes the market is further sub-segmented into large, small and medium.
Lastly the intended audience segment comprises of network operators, suppliers, device manufacturers, vendors, software developers, semiconductor manufacturers, end-user sectors technology investors, research firms, commercial banks and software developers.
One of the latest and most talked about innovation that the global cloud engineering market has seen is the introduction of AI bots. This bot can enables the recipients to access various applications and tools. Furthermore, it also has the ability to provide effective analytics insight that can be incorporated to make better business decisions.
Cloud Engineering Global Market – Regional Analysis
On the basis of region, the market is segmented into North America, Europe, Asia Pacific and rest of the world. Among these regions, North America is expected to lead the market of cloud engineering market in terms of market share due to countries like the U.S. and Canada. The major contributing factor towards this growth includes the large presence of enterprises, advanced IT infrastructure, and higher technical availability across various industrial verticals. On the other hand, Europe is expected to show a decent growth during the forecast period and thereby claims second spot in this market. Asia Pacific is expected to show a highest growth rate during the forecast period.
- Device manufacturers
- Network Operators
- Research firms
- Software Developers
- Commercial Banks
- Semiconductor Manufacturers
- End-user sectorsTechnology Investors
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TABLE OF CONTENTS
1 Market Introduction
1.2 Scope Of Study
1.2.1 Research Objective
1.3 Market Structure
2 Research Methodology
2.1 Research Network Solution
2.2 Primary Research
2.3 Secondary Research
2.4 Forecast Model
2.4.1 Market Data Collection, Analysis & Forecast
2.4.2 Market Size Estimation
3 Market Dynamics
3.2 Market Drivers
3.3 Market Challenges
3.4 Market Opportunities
3.5 Market Restraints
4 Executive Summary
5. Market Factor Analysis
5.1 Porter’s Five Forces Analysis
5.2 Supply Chain Analysis
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