Internet of things PREDICTIVE ANALYTICS REPORT

Make Internet of things investments easy: Download the complete report HERE

ANALYSIS

What You Need to Know

  • Breakouts in the Internet of things predictive analytics are Big Data, Connected car, Smart home. Seriously consider these technologies to gain a strategic advantage.
  • The technologies who are at the peak of their interest are Sigfox, Edge device, NodeMCU.
  • By far most employment needs are found in the Big Data, User experience, Cloud computing technologies.
  • These 3 fields have the most active practitioners who have the specific skill set or experience: Cloud computing, User experience, Logistics management.
  • Arduino, Politico, Smart TV lead in searches for information online.
  • These three technologies are receiving the highest investments to gain clients: Cloud computing, Big Data, Emergency notification system.
  • These three technologies have the most active advertisers: Home automation, Industrial internet of things, Internet of things.
  • In patents, these three technologies have the most coverage User experience, ZigBee, Cloud computing.
  • The most publications are available for Politico, Complex system, User experience.
  • Instruction and courseware availability is highest in these technologies: Big Data, Arduino, Raspberry Pi.

The Internet of things report evaluates technologies and applications in terms of their business impact, adoption rate and maturity level to help users decide where and when to invest.

The Predictive Analytics Scores below – ordered on Forecasted Future Needs and Demand from High to Low – shows you Internet of things’s Predictive Analysis. The link takes you to a corresponding product in The Art of Service’s store to get started.

The Art of Service’s predictive model results enable businesses to discover and apply the most profitable technologies and applications, attracting the most profitable customers, and therefore helping maximize value from their investments. The Predictive Analytics algorithm evaluates and scores technologies and applications.

The platform monitors over ten thousand technologies and applications for months, looking for interest swings in a topic, concept, technology or application, not just a count of mentions. It then makes forecasts about the velocity of the interest over time, with peaks representing it breaking into the mainstream. Data sources include trend data, employment data, employee skills data, and signals like advertising spent, advertisers, search-counts, Instruction and courseware available activity, patents, and books published.

Predictive Analytics Scores:

068523 – Big Data
000929 – Connected car
000797 – Smart home
000494 – Complex system
000398 – Fog computing
000378 – CeNSE
000289 – ThingWorx
000266 – Industrial internet of things
000250 – MQTT
000194 – Sensor fusion
000191 – Conversion tracking
000181 – Wearable technology
000173 – User experience
000167 – Internet of things
000147 – Bluetooth low energy
000139 – Machine to machine
000139 – IPv4
000122 – Industrial big data
000116 – Fluidmesh
000113 – Sigfox
000107 – Edge device
000106 – Xively
000102 – Smart thermostat
000099 – Supply chain network
000099 – Privacy by Design
000088 – 6LoWPAN
000085 – Z-Wave
000073 – Emergency notification system
000070 – Indoor positioning system
000060 – Smart TV
000060 – Smart objects
000051 – Cyber-physical system
000050 – Home automation
000048 – Wi-Fi Direct
000047 – IPv6
000041 – Web of Things
000040 – LTE Advanced
000038 – GS1
000037 – Smart meter
000033 – ZigBee
000032 – Smart city
000029 – Cloud manufacturing
000021 – Raspberry Pi
000019 – Quantified Self
000016 – Logistics management
000012 – QR codes
000012 – Cloud computing
000010 – Arduino
000004 – XBee
000001 – Politico
000001 – Domotics
000000 – OpenWSN
000000 – Nuve
000000 – NodeMCU
000000 – Hypernet
000000 – GeoWeb
000000 – EVRYTHNG
000000 – B-Scada


Full Report Purchase Options

Full Internet of things Report Purchase Options


Leave a Reply