Commercial Drone Market Competitive Intelligence, 2018—Artificial Intelligence Companies

Commercial Drone Market Competitive Intelligence, 2018—Artificial Intelligence Companies

Autonomous Drones will Require Robust Artificial Intelligence Capabilities and the Race to Develop the Best Solutions is Heating Up

RELEASE DATE
29-Jun-2018
REGION
Global
Research Code: 9AB0-00-57-00-00
SKU: AE01299-GL-MR_22052
$1,500.00
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AE01299-GL-MR_22052
$1,500.00
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Description

Drones will become increasingly autonomous, while acquiring larger amounts of data. To enable autonomy and to rapidly identify and process the most pertinent data, drone platforms will need to utilize artificial intelligence (AI). This research study focuses on 18 companies competing to develop AI-enabled drone solutions for a multitude of commercial applications. AI encompasses the concepts of computer vision, machine learning, and deep learning. It requires the development of advanced algorithms and training models by humans to enable machines to make decisions on their own. Companies in the AI segment within the commercial drones market provide AI-driven hardware (drones), AI-focused software, or both to customers. Firms that only integrate AI or use another company’s AI platform to provide a third-party service are not included in this research service. The study does not also cover every company that participates in the AI for drones market. Analysts have made every attempt to include relevant companies that are most likely to compete in the market for building AI-enabled drones or the software to allow existing drones to utilize AI for autonomous operation, data collection, data processing, or any combination of those capabilities.

Each competitor is profiled separately and each profile contains information about where the company is located, when it was established, important partnerships it has established, a description of the company’s products, and other pertinent business details.

From the information gathered for developing profiles, each company is evaluated under the following categories:
• Product: How well does the product function and/or how robust is the design? Where is the product, or products, in the development cycle?
• Management: What is the kind of experience that the management teams have in directing start-ups and in the technology areas required for
AI?
• Business Plan: Does the business plan revolve around hardware/software sales or subscriptions and can the plan be scaled? Are there any
significant partnerships that can create synergies to give the company a competitive advantage?
• Funding: How much investment capital has the company raised to date? Is the company part of a larger company that can support its growth?

Once evaluated, the companies are ranked and ordered in a heat map to show which are the most likely to be the most successful.

In addition, growth opportunities within the market are discussed, along with useful recommendations. Explanations of market challenges and trends are also included. The study wraps up with a set of insightful conclusions.

Table of Contents

Key Findings

Research Scope

Introduction

Introduction (continued)

Introduction (continued)

Company 1—Accelerated Dynamics

Company 2—Aeronyde

Company 3—AirFusion

Company 4—Avitas Systems

Company 5—Converge

Company 6—Deep Aero

Company 7—Donecle

Company 8—eSmart Systems

Company 9—Exyn

Company 10—Flytbase

Company 10—Flytbase (continued)

Company 11—Kespry

Company 12—Nuerala

Company 13—Shield AI

Company 14—Sky-Futures

Company 15—Skycatch

Company 16—SkySpecs

Company 17—vHive

Company 18—Ziff

Other Notable Companies

Other Notable Companies (continued)

Overview

Competitor Heat Map

Competitor Weighted Heat Map

Discussion

Artificial Intelligence for Drones—Challenges

Artificial Intelligence for Drones—Market Trends

Growth Opportunity 1—Industry Partnerships

Growth Opportunity 2—Technology Partnerships

Growth Opportunity 3—Focus on Customer Needs Rather than Cool Technology

Growth Opportunity 4—Thinking Outside the Sky

Strategic Imperatives for Companies that Develop AI for Drones

Conclusions

Conclusions (continued)

Legal Disclaimer

List of Exhibits

The Frost & Sullivan Story

Value Proposition—Future of Your Company & Career

Global Perspective

Industry Convergence

360º Research Perspective

Implementation Excellence

Our Blue Ocean Strategy

Related Research
Drones will become increasingly autonomous, while acquiring larger amounts of data. To enable autonomy and to rapidly identify and process the most pertinent data, drone platforms will need to utilize artificial intelligence (AI). This research study focuses on 18 companies competing to develop AI-enabled drone solutions for a multitude of commercial applications. AI encompasses the concepts of computer vision, machine learning, and deep learning. It requires the development of advanced algorithms and training models by humans to enable machines to make decisions on their own. Companies in the AI segment within the commercial drones market provide AI-driven hardware (drones), AI-focused software, or both to customers. Firms that only integrate AI or use another company’s AI platform to provide a third-party service are not included in this research service. The study does not also cover every company that participates in the AI for drones market. Analysts have made every attempt to include relevant companies that are most likely to compete in the market for building AI-enabled drones or the software to allow existing drones to utilize AI for autonomous operation, data collection, data processing, or any combination of those capabilities. Each competitor is profiled separately and each profile contains information about where the company is located, when it was established, important partnerships it has established, a description of the company’s products, and other pertinent business details. From the information gathered for developing profiles, each company is evaluated under the following categories: • Product: How well does the product function and/or how robust is the design? Where is the product, or products, in the development cycle? • Management: What is the kind of experience that the management teams have in directing start-ups and in the technology areas required for AI? • Business Plan: Does the business plan revolve around hardware/software
More Information
No Index No
Podcast No
Author Michael Blades
Industries Aerospace, Defence and Security
WIP Number 9AB0-00-57-00-00
Keyword 1 Commercial Drone
Is Prebook No
GPS Codes 9000-A1,9831-A1