IoT Edge Analytics: Hardware-Agnostic SaaS/PaaS

Price: Starting at USD 4,500
Publish Date: 07 Jun 2021
Code: CA-1303
Research Type: Competitive Ranking
Pages: 45
IoT Edge Analytics: Hardware-Agnostic SaaS/PaaS
RELATED SERVICE: IoT Networks & Services
Actionable Benefits

Actionable Benefits

  • In-depth technology analysis of 7 edge analytics vendors (FogHorn, Falkonry, ClearBlade, SWIM.ai, Crosser, and BluWawe).
  • Evaluation and comparison of the vendor’s edge analytics and ML capabilities for the IoT market
  • Identify vendor’s strategic positioning and partnership network with the IoT-data-enabled ecosystem.
Critical Questions Answered

Critical Questions Answered

  • Which vendor became a leader in the ABI Research’s innovation/implementation criteria framework?
  • Which vendor is offering the most sophisticated and innovative solution for edge analytics?
  • Which vendor is the most advanced in the implementation strategy for their solution(s)?
Research Highlights

Research Highlights

  • Identify which vendors are considered Leaders, Mainstream providers or Followers.
  • Identify and rank the vendors with most advance innovation and implementation strategy or both.
  • Which vendor has the most interoperability and integration capabilities within the IoT ecosystem.
Who Should Read This?

Who Should Read This?

  • IoT Big Data vendors and software developers who need to understand the market dynamics and identify differentiation point among competitors.
  • S-Suite and strategic advisors within the data-enabled industry who are responsible for strategy formation, business development, and innovative solutions planning.
  • Industrial players, who intend/ongoing the IoT digital transformation, to understand edge analytics offerings, and technology.

Companies Mentioned

Bluwave.AI
Clearblade
Crosser
Falkonry
Swim.AI

Table of Contents

Iot Edge Analytics: Hardware-Agnostic SAAS/Paas

Overall Competitive Rankings

Overall Ranking Matrix

Leader

Who Is in Scope?

Criteria and Methodology

Innovation Ranking

Impementation Ranking

Individual Company Assessments

Bluwave.AI
Clearblade
Crosser
Falkonry
Foghorn
Swim.AI

Learn More About IoT Edge Analytics: Hardware-Agnostic SaaS/PaaS

What Does Hardware Agnostic Mean?

When a device or software is hardware agnostic, it can operate with other devices, systems, or platforms without the need for specialized modifications. By being hardware agnostic, devices and software are compatible in a seamless system. Hardware agnosticism can reduce recurring costs because enterprises can use one vendor’s solution across many applications or use cases, instead of having to purchase additional hardware and software that is more tailored. Using hardware agnostic devices and software also removes the need to hire third-party professional services to master the technology.

Rapid Digitization Requires a New Approach

Numerous device types exist and enterprises continue to introduce more of them to their work environments, particularly Internet of Things (IoT) devices. With so many devices in circulation, it’s an advantage to invest in hardware agnostic software that can manage these variations. Additionally, some of the best Software-as-a-Service (SaaS) and Platform-as-a-Service (PaaS) solution providers also offer cloud-agnostic features—making their platforms operable in any cloud environment.

Hardware Agnostic Software Can Solve Edge Computing in Brownfield Markets

There’s an ever-growing requirement for synergy between hardware and software as enterprises introduce IoT devices, and the subsequent data analytics, Machine Learning (ML), and Artificial Intelligence (AI) capabilities that go along with the IoT. Although many enterprises wish to gain improved monitoring capabilities, legacy devices are often a constraint. This is where hardware agnostic SaaS and PaaS technologies really show their worth. Rather than upgrading assets like sensors and systems, enterprises can turn to hardware agnostic platforms to satisfy their edge-cloud ambitions.