Global Autonomous Navigation Software Market 2022


Market Overview

The future of the autonomous systems, with a focus on the autonomous navigation software market, is a promising one. In 2022, the market was valued at $3.15 billion, and it is projected to reach $5.68 billion by 2033. This growth can be attributed to several factors.

there is a continuous advancement and adoption of digital technologies that enable autonomous systems to operate efficiently and effectively. Companies are investing in research and development to improve the capabilities of autonomous navigation software, making it more reliable, accurate, and responsive. governments around the world are implementing initiatives to promote the adoption of autonomous technologies. These initiatives include funding research projects, creating regulatory frameworks, and providing incentives for companies to develop and deploy autonomous systems. Such support from governments encourages businesses to invest in autonomous navigation software. Furthermore, there is an increasing demand for automation and efficiency in various industries. Autonomous systems, powered by advanced navigation software, offer the potential to streamline operations, reduce costs, and improve productivity. Industries such as manufacturing, transportation, healthcare, and agriculture are recognizing the benefits of autonomous systems and are actively seeking to integrate them into their workflows.

Product Type

Market Report

No. of Pages

173

Release Date

April 2023

Base Year

2022

Forecast Period

2023-2033

Market Size

USD 3.2 billion in 2021

Market Segments

Application, Sector, Platform, Software Technology, Region

Region

Global

No. of Companies Mentioned

16


Another driving factor is the need to reduce human error and increase safety in critical operations. Autonomous systems can perform tasks with precision and consistency, minimizing the risk of accidents or mistakes caused by human factors. This is particularly important in industries where safety is crucial, such as defense, surveillance, and inspection.

However, there are also challenges to the adoption of autonomous systems, including regulatory and ethical concerns, cybersecurity risks, and the high cost of implementation. Policymakers and industry participants must work together to address these challenges and create an environment that promotes the widespread adoption of autonomous technologies.

Despite the challenges, the future of autonomous systems, particularly in the autonomous navigation software market, is promising. The desire for increased efficiency, scalability, and cost savings, along with the continuous advancement and adoption of digital technologies, will continue to drive the growth of this market. As the adoption of autonomous systems expands, new business models and opportunities will arise, disrupting traditional industries and creating new possibilities for stakeholders in the ecosystem.


Market Segmentation

The market is segmented based on various factors, including application, sector, platform, software technology, and region.

Segmentation by Application
Logistics and Warehouse Management
Automated Manufacturing
Surveillance and Inspection
Agriculture
Mobility
Others

Segmentation by Sector
Commercial
Military
Civil Government

Segmentation by Platform
Autonomous Vehicle (Trucks/Buses/Vans)
Unmanned Aerial Vehicle (UAV)
Unmanned Underwater Vehicle (UUV)
Unmanned Surface Vehicle (USV)
Autonomous Mobile Robot
Collaborative Robot (Cobot)
Humanoid

Segmentation by Software Technology
Visual SLAM
LiDAR SLAM
Neuromorphic Chip
Natural Intelligence

Segmentation by Region
North America – U.S. and Canada
Europe – France, Germany, Russia, U.K., and Rest-of-Europe
Asia-Pacific – China, Japan, India, Australia, and Rest-of-Asia-Pacific
Rest-of-the-World – Middle East and Africa and South America

The mobility application generated $1.89 billion in revenue in 2022 and is projected to reach $3.32 billion by 2033, with a compound annual growth rate (CAGR) of 5.42% during the period from 2023 to 2033. This growth can be attributed to several factors, including the increasing demand for autonomous vehicles across various industries such as automotive, transportation, and logistics. The mobility application of autonomous systems covers various types of vehicles, including cars, trucks, buses, and shuttles. As the technology for autonomous systems continues to advance, these vehicles are expected to become more reliable, efficient, and cost-effective, thus driving their adoption in different industries. Additionally, autonomous systems help reduce costs while enhancing safety and reliability, which further fuels the growth of this application. Key players in this market include tech giants like Google (Waymo), Uber, Volvo Group, and Tesla, as well as established automakers such as General Motors, Ford, and BMW, all of which are developing autonomous systems for various applications, including delivery and logistics.

The commercial application of autonomous systems encompasses mobility, surveillance and inspection, agriculture, logistics, warehousing, mining, automated manufacturing, and more. Numerous companies are adopting autonomous solutions for their commercial platforms across various industries. For example, in November 2022, Brain Corporation, a company specializing in cleaning and inventory robotics, launched a next-generation autonomy platform designed to power autonomous commercial robotics. This new autonomy platform features improved localization and navigation performance, enhanced safety and reliability, and improved human-robot interaction. Similarly, Tier IV, a deep-tech startup based in Japan, introduced the Pilot.Auto and Web.Auto commercial autonomous driving software platforms in November 2022. These platforms are specifically designed for closed spaces with restricted traffic and pedestrian vehicles in urban areas.

The autonomous vehicles segment, including trucks, buses, and vans, generated $1.57 billion in revenue in 2022 and is expected to grow at a CAGR of 5.59% from 2023 to 2033, reaching $2.81 billion by 2033. The growth of autonomous vehicles is driven by advancements in technology and government initiatives aimed at testing fully self-driving autonomous vehicles. Additionally, various startups are securing funding for autonomous vehicle systems, further contributing to the growth of this segment.

The visual SLAM (Simultaneous Localization and Mapping) segment generated $1.31 billion in revenue in 2022 and is projected to grow at a CAGR of 4.57% from 2023 to 2033, reaching $2.13 billion by 2033. Visual SLAM is a specific system that utilizes 3D vision to perform environment localization and mapping, using information acquired from image sensors such as monocular, stereo, or RGB-D cameras. Visual SLAM systems are used in a wide range of robots, including rovers, landers, agricultural robots, and drones, enabling them to navigate unexplored areas or move autonomously in crop fields. Furthermore, autonomous vehicles rely on visual SLAM systems for mapping and understanding their surroundings. Visual SLAM is one of the most advanced embedded vision technologies available, and the vision-based navigation of autonomous vehicles primarily depends on deep neural network (DNN) based systems. In this approach, the controller receives input from sensors and detectors, such as cameras, and produces vehicle control outputs, such as steering wheel angles, to safely navigate the vehicle in traffic environments.

The North America region, which includes the U.S. and Canada, holds a significant market share in the future of autonomous systems, particularly in the autonomous navigation software market. The region expects substantial investments and revenue generation from these markets. Currently, the U.S. dominates the manufacturing of autonomous platforms, accounting for 80% of the production. Consequently, the demand for autonomous systems in North America is expected to remain dominant until 2033. Moreover, the U.S. is heavily investing in research and development of autonomous systems for various applications and is anticipated to gain prominence in the market during the forecast period. In 2022, the region captured a significant market share of 41.9% and is projected to witness a growth rate of 5.2% over the forecast period. This can be attributed to the presence of major industry players such as Tesla Inc., Cruise LLC, Waymo LLC, Pony.ai, INERTIAL SENSE, Brain Corporation, TERRISGPS, Autonomous solutions Inc, Vecna Robotics, and others.


Competitive Landscape

The selection of the featured companies was based on inputs gathered from primary experts and an analysis of their media coverage, product portfolio, and market reach.

In 2021, the dominant players in the market were well-established companies, comprising 71.3% of the market presence. The remaining 28.7% consisted of emerging participants, including startup entities.

Key companies profiled in this report include Argo AI, LLC, BlueBotics, Brain Corporation, Cruise LLC, Inertial Sense, Incubed IT GmbH, Mobileye, Opteran Technologies, Robo Tech Vision, Tesla, Sensible 4, UAV Navigation, UAVOS Inc., vHive, Velodyne Lidar, Inc.


Recent Industry Developments

In November 2022, Goggo Network, an autonomous mobility company, entered into a memorandum of understanding (MoU) with Mobileye to enhance the adoption of autonomous mobility and logistics across Spain and Europe. Through this collaboration, Goggo Network aims to introduce level 4 autonomy in Spain.

In November 2022, UAV Navigation collaborated with Qascom for the OSNMAplus project. This project focuses on harnessing the services provided by the European Global Navigation Satellite System (GNSS) to develop advanced technologies.

In November 2022, Velodyne Lidar, Inc. signed a multi-year agreement with GreenValley International to supply its lidar sensors for 3D surveying and mapping purposes.

In September 2022, Lyft partnered with Argo AI, LLC to launch a publicly available robotaxi service in Austin, Texas. Following the success in Miami, this expansion marks the second city where Lyft operates commercial robotaxi services.

In July 2022, Velodyne Lidar, Inc. secured a multi-year contract with Boston Dynamics, a mobile robotics developer, to provide perception and navigation capabilities for their highly mobile robots. The incorporation of Velodyne’s Lidar sensor solutions enables these robots to operate autonomously and safely, eliminating the need for human intervention. The sensors offer real-time 3D perception data for localization, mapping, object categorization, and object tracking.

In June 2022, Sensible 4 and Bodo Municipality joined forces to establish the world’s first long-term autonomous driving service in Bodo, Norway.

In May 2022, Sensible 4 collaborated with Moove GmbH to launch shuttle buses in the European market. They unveiled the vehicle at a startup event in Helsinki as part of their joint initiative.

In April 2022, Argo AI, LLC partnered with 412 Food Rescue to autonomously deliver food to individuals facing food insecurity in the region.

In March 2022, Oceaneering International formed a partnership with BlueBotics to bolster its position in the autonomous systems market, focusing on the development of a new product line.


Key Questions Answered

What are the anticipated futuristic trends in the future of autonomous systems, specifically focusing on the autonomous navigation software market?

How is the market projected to evolve between the forecast period of 2023-2033?

What are the primary drivers and challenges faced by companies currently involved in the future of autonomous systems, with a particular emphasis on the autonomous navigation software market?

How can we anticipate the market to grow during the forecast timeframe of 2023-2033?

What opportunities are available for companies to expand their businesses within the future of autonomous systems, specifically focusing on the autonomous navigation software market?

By the year 2033, which region is expected to take the lead in the future of autonomous systems, particularly in the autonomous navigation software market?

What key developmental strategies are being implemented by major market players to sustain in this highly competitive market?

What is the current and future revenue outlook for the future of autonomous systems, with a specific focus on the autonomous navigation software market?

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