Statistics for IoT Cloud Platforms Market by PTC, Cisco, Microsoft, Google, IBM, Intel, SAP, Oracle, AT&T, Fujitsu, Amazon and more

IoT Cloud Platforms market report elaborates the Definition, Industry History, present & future Trends, Upstream and Downstream Industry Chain, Technology, Cost Structure, Consumer Preference, Development Prospect, Competition Structure, Relevant Policy, Trade Overview, Segmentation by Applications, Types and Regions etc.
An IoT platform means cloud-based and on-premise software packages and related services that enable and support sophisticated IoT services. Speak specifically, An IoT platform combines several software functions into one solution to enable companies to develop and deploy Internet of Things solutions faster, better and cheaper.
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The major forces driving the IoT Cloud Platforms market are development of cheaper and smarter sensors, evolution of high-speed networking technologies, and rising adoption of cloud platforms across industry verticals. Furthermore, increasing penetration of connected devices has unleashed the growth potential through predictive maintenance, security, and analytics which is expected to drive the market during the forecast period.
The decrease in the cost per CPU memory and storage makes the collection of big data and subsequent analytics possible. Devices such as sensors have proliferated, without which IoT opportunities cannot be realized. The decreasing cost of megabytes increases the amount of money available for investment in large processing systems. Cloud and big data offer elastic repositories for storing and analyzing the onslaught of data. The convergence of information technology and operational technology are coming together to create a new revolution. The Internet world is colliding with the industrial world to create unprecedented opportunities.
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Key Players covered in this report are:
PTC (ThingWorx), Cisco (Jasper), Microsoft, Google, IBM, Intel Corporation, SAP, Oracle Integrated Cloud, AT&T, Fujitsu, Amazon, HPE, Telit, General Electric (Predix), Gemalto, Exosite, Zebra Technologies, Ayla Networks, Xively, Aeris, Particle, relayr, Bosch Software Innovations, Teezle.
Report analysed by applications like Smart Home & Wearables, Smart Energy, Smart Security, Manufacturing, Transportation & Logistics, Healthcare, Others. Then report is analysed based on product Software, Service.
Market size split by Region North America, United States, Canada, Mexico, Asia-Pacific, China, India, Japan, South Korea, Australia, Indonesia, Singapore, Malaysia, Philippines, Thailand, Vietnam, Europe, Germany, France, UK, Italy, Spain, Russia, Central & South America, Brazil, Rest of Central & South America, Middle East & Africa, GCC Countries, Turkey, Egypt, South Africa.
The IoT Cloud Platforms industry development trends and marketing channels are analysed. Finally, the feasibility of new investment projects are assessed and overall research conclusions offered.
With the tables and figures, the report provides key statistics on the state of the industry and is a valuable source of guidance and direction for companies and individuals interested in the market.
Development policies and plans are discussed as well as manufacturing processes and cost structures are also analyzed. This report also states supply and demand Figures, cost, price, revenue and gross margins.
The IoT Cloud Platforms Market report provides key statistics on the market status of the IoT Cloud Platforms manufacturers and is a valuable source of guidance and direction for companies and individuals interested in the industry.
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Major Points Covered in Table of Contents:
Chapter 1 Preface
Chapter 2 Executive Summary
Chapter 3 Market Dynamics
Chapter 4 Global IoT Cloud Platforms Market, by Product Type
Chapter 5 Global IoT Cloud Platforms Market, by Application
Chapter 6 Global IoT Cloud Platforms Market, by Region
Chapter 7 Competitive Intelligence
Chapter 8 Company Profiles - with focus on Company Fundamentals, Product Portfolio, Financial Analysis, Recent News and Developments, Key Strategic Instances, SWOT Analysis
Chapter 9 About Us

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