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Actionable Benefits

  • Raise awareness and understanding about Cloud Robotics and its core technological components that will enable large scale deployment.
  • Ensure that upcoming applications and products address the current limitations and better meet users‘ expectations and use case’s requirements.
  • Understand the technologies that key players are leveraging and identify potential collaborations.
  • Build optimized roadmaps and robot business models which are aligned with the upcoming deployment of cloud robotics.

Critical Questions Answered

  • What is Cloud Robotics and why is it necessary?
  • Which are the challenges and opportunities for enabling Cloud Robotics?
  • What are some of the prominent players in Cloud Robotics today?
  • Who will dominate the cloud robotics oppurtunity going forward?

Research Highlights

  • Definitions and key capabilities of cloud Robotics.
  • Most recent advancements in Cloud Robotics Technology.
  • Market forecasts to frame the total addressable market of Cloud Robotics, with focus on data trends for Robotics as a Service (RaaS).
  • Vendor Breakdown of both robot companies and cloud service providers.

Who Should Read This?

  • Product Managers for hardware OEMs and platform providers.
  • Marketing for OEMs, robotics developers and end users.
  • Digitization experts/decision makers across markets.
  • C-level for potential customers and integrators.
  • Market analysts and researchers looking for greater understanding of robotics.

Table of Contents

Table of Contents

1. EXECUTIVE SUMMARY

2. DEMAND FOR THE CLOUD IN THE ROBOTICS MARKET

2.1. Servitization, Consolidation, Autonomy, Growth, and Enablement
2.2. Defining the Cloud and Cloud Robotics
2.3. Why Now?
2.4. Importance to Deployment
2.5. Importance to Operation
2.6. Problems with Cloud Robotics
2.7. Cloud Robotics Roadmap

3. THE CLOUD ECOSYSTEM

3.1. Endpoint Intelligence
3.2. Gateways
3.3. The Cloud
3.4. Cloud Services
3.5. Cloud Robotics Vendor Ecosystem

4. VALUE

4.1. Interoperability
4.2. Operations and Human-to-Robot Ratio
4.3. Increased Compute Power and Storage
4.4. Flexibility and Accessibility
4.5. The Analytics Value Chain

5. DRIVERS

5.1. 5G
5.2. ROS and Open-Source Robotics
5.3. Cloud Service Providers
5.4. AI and Cloud AI Chipsets

6. INHIBITORS

6.1. Industry Inflexibility
6.2. Legacy Business Models and Attitudes
6.3. Lack of Interoperability
6.4. Latency and Speed Requirements
6.5. Task Allocation Challenges
6.6. Security Concerns
6.7. IT and OT Convergence in Robotics

7. ROBOT VENDORS

7.1. CloudMinds
7.2. Formant
7.3. InOrbit
7.4. Rapyuta Robotics
7.5. Tomahawk Robotics

8. MARKET TRENDS

8.1. CAPEX versus OPEX
8.2. RaaS by Vertical

9. RECOMMENDATIONS

9.1. Move from an R&D Mindset to an Operational Mindset
9.2. Metrics to Keep in Mind
9.3. Hardware Vendors Need to Move up the Value Chain
9.4. Solution Providers Have a Choice
9.5. Software Platforms Need to Offer Something Unique
9.6. CSPs Should Take the Plunge
9.7. Expect a Battle and Consolidation
9.8. End Users Should Avoid Lock-in with CSPs