A ResearchAndMarkets report evaluates the technologies, companies, and solutions for leveraging big data tools and advanced analytics for IoT data processing
Emphasis is placed on leveraging IoT data for process improvement, new and improved products, and ultimately enterprise IoT data syndication.
- The state of the big data in IoT market
- The overall global market for big data in IoT will reach $50.9 billion by 2026.
- Data analytics is the largest segment by product and service in the big data IoT market.
- Big data in IoT as a service will reach $7.3 billion by 2026 with North America leading the market.
- Storage of big data in IoT will reach $16.2 billion by 2026, driven by low-cost cloud-based solutions.
- Big data in IoT within the government sector will exceed $6 billion by 2026, fueled by military and public safety initiatives.
- Financial services, government, telecom, retail, healthcare, manufacturing, building automation, consumer electronics, and transport and cargo are some of the major industry verticals for the big data in the IoT market.
Data that is uncorrelated and does not have a pre-defined data model and is not organized in a predefined manner requires special handling and analytics techniques.
Imagine you're reading a murder mystery. The plot's thickening, the game's afoot, you're pages away from knowing who's done it and you've reduced your fingernails to a stub...
"Then, all of a sudden, a new character enters the scene and you're thrown completely off-guard. In a mere moment, your eagerness to know the 'who done it' has given way to confusion.
A data anomaly is often like an unexpected intrusion or a plot twist that leads a good story astray.
From rainfall totals to monitoring a production line, data anomalies can have a profound impact on business outcomes. While sometimes anomalies are possibilities, more often they distract from the predictability and safety of consistent and reliable business data..."
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