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全球机器人软件平台市场 - 2023-2030

Global Robotic Software Platforms Market - 2023-2030

出版日期: 2023年09月11日 | 出版商:

DataM Intelligence | 英文 203 Pages | 商品交期: 约2个工作天内

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简介目录

概述

全球机器人软件平台市场在 2022 年达到 8 亿美元，预计到 2030 年将达到 71 亿美元，2023-2030 年预测期间复合年增长率为 45.3%。

能力更强、更复杂的机器人的发展创造了对有效控制和管理机器人功能的软件平台的需求。随着机器人的应用变得更加复杂和多样化，对适应性软件平台的需求也在增长。工业 4.0 的发展和智能製造的兴起推动了机器人软件在各种平台上的采用。根据 IFR（国际机器人联合会）的数据，2021 年 73% 的机器人安装在亚太地区。

机器人在医疗保健、酒店、零售和物流等服务领域的使用显着扩大。服务机器人需要软件平台来实现导航、交互和数据处理等任务，从而推动机器人软件市场的增长。将人工智能和机器学习功能集成到机器人软件平台中，使机器人能够学习、适应并做出智能决策。

在预测期内，北美是全球机器人软件平台市场的增长地区之一，占市场份额超过1/3。该地区拥有由机器人公司、研究机构和大学组成的强大生态系统，这些公司、研究机构和大学正在积极开发和部署机器人技术，该生态系统促进创新并推动对先进机器人软件平台的需求。

动力学

政府机构采用机器人系统

机器人软件平台使政府机构能够自动执行日常和重复性任务，从而提高运营效率并减少体力劳动，这使政府员工能够专注于更复杂和增值的活动。政府机构越来越多地采用数字化转型倡议，机器人软件平台在流程现代化和简化方面发挥着至关重要的作用。

例如，2021 年 10 月 13 日，新加坡国防科学技术局与费城机器人公司 Ghost Robotics 建立合作伙伴关係，开发和测试用于安全、国防和人道主义应用的腿式机器人。此次合作旨在探索移动机器人系统平台在具有挑战性的城市地形和恶劣环境中的使用。

公司间的合作与伙伴关係

机器人软件平台通常需要结合硬件、软件和专业知识来创建全面的解决方案。与不同公司合作可以集成各种组件和技术，以提供完整且强大的机器人系统。协作可以利用不同合作伙伴的优势来创建定制解决方案。

例如，2023年7月27日，工业计算技术提供商研华与机器人软件平台公司MOV.AI建立合作伙伴关係，以简化自主移动机器人的开发和部署。此次合作旨在将研华坚固耐用的硬件与 MOV.AI 的机器人引擎平台相结合，为 AMR 製造商和集成商创建全面的解决方案。

技术进步

计算机视觉技术使机器人能够解释来自环境的视觉信息，包括对象检测、识别、跟踪和场景理解。计算机视觉增强了机器人执行需要视觉处理的任务的能力，例如对物体进行分类或识别障碍物。传感器融合和集成使机器人能够收集准确的数据、在復杂的环境中导航并与物体和人类安全地交互。

例如，2023 年 8 月 25 日，NASA 与德克萨斯州公司 Apptronik 的合作凸显了该机构在开髮用于地球和太空应用的人形机器人方面的专业知识。 Apptronik 的人形机器人名为 Apollo，是通过 NASA 的小型企业创新研究合同开发的。

复杂的机器人软件并展示社交技能

机器人软件的开发和编程可能很复杂并且需要专门的技能。用户（包括开发人员和运营商）可能需要经历陡峭的学习曲线才能有效地利用这些平台。机器人软件平台通常需要根据特定的硬件配置和机器人型号进行定制，这种硬件依赖性会限制灵活性和互操作性，使得在不同机器人或品牌之间切换具有挑战性。

传感器是机器人用于感知和决策的重要功能。然而，传感器技术的局限性可能会影响机器人准确感知环境的能力，特别是在弱光或恶劣天气等具有挑战性的条件下。创建能够在各种环境下与人类有效互动、理解自然语言并展现社交技能的机器人是机器人软件平台仍在努力解决的一项复杂挑战。

Overview

Global Robotic Software Platforms Market reached US$ 0.8 billion in 2022 and is expected to reach US$ 7.1 billion by 2030, growing with a CAGR of 45.3% during the forecast period 2023-2030.

The development of capable and more sophisticated robots created a demand for software platforms that effectively control and manage robot functionalities. As robots become more complex and diverse in their application, the need for adaptable software platforms has grown. The growth of Industry 4.0 and rising smart manufacturing have driven the adoption of robotic software in various platforms. According to IFR - International Federation of Robotics, in 2021 73% of robots were installed in Asia-Pacific.

The use of robots in service sectors such as healthcare, hospitality, retail and logistics has expanded significantly. Service robots require software platforms to enable tasks like navigation, interaction and data processing, driving the growth of the robotic software market. Integration of AI and machine learning capabilities into robotic software platforms has enabled robots to learn, adapt and make intelligent decisions.

During the forecast period, North America is among the growing regions in the global robotic software platforms market covering more than 1/3rd of the market. The region has a robust ecosystem of robotics companies, research institutions and universities that are actively developing and deploying robotic technologies and this ecosystem fosters innovation and drives the demand for advanced robotic software platforms.

Dynamics

Government Agencies Adopts Robotic Systems

Robotic software platforms enable government agencies to automate routine and repetitive tasks leading to increased operational efficiency and reduced manual effort and this allows government employees to focus on more complex and value-added activities. Government agencies are increasingly adopting digital transformation initiatives and robotic software platforms play a crucial role in modernizing and streamlining processes.

For instance, on 13 October 2021, the Defense Science and Technology Agency of Singapore entered into a partnership with Ghost Robotics, a Philadelphia-based robotics company, to develop and test legged robots for security, defense and humanitarian applications. The collaboration aims to explore the use of mobile robotic systems platforms in challenging urban terrain and harsh environments.

Collaboration and Partnership Between Companies

Robotic software platforms often require a combination of hardware, software and specialized expertise to create comprehensive solutions. Collaborating with different companies allows for the integration of various components and technologies to deliver complete and robust robotic systems. Collaboration enables the creation of customized solutions by leveraging the strengths of different partners.

For instance, on 27 July 2023, Advantech, a provider of industrial computing technology, entered into a partnership with MOV.AI, a robotics software platform company, to streamline the development and deployment of autonomous mobile robots. The collaboration aims to combine Advantech's rugged hardware with MOV.AI's Robotics Engine Platform to create a comprehensive solution for AMR manufacturers and integrators.

Technology Advancement

Computer vision technologies enable robots to interpret visual information from the environment and this includes object detection, recognition, tracking and scene understanding. Computer vision enhances robots' ability to perform tasks that require visual processing, such as sorting objects or identifying obstacles. Sensor fusion and integration enable robots to gather accurate data, navigate complex environments and interact safely with objects and humans.

For instance, on 25 August 2023, NASA's collaboration with Apptronik, a Texas-based company, highlights the agency's expertise in developing humanoid robots for both Earth-based and space applications. Apptronik's humanoid robot, named Apollo, has been developed through NASA's Small Business Innovation Research contracts.

Complex Robotic Software and Exhibits Social Skills

Developing and programming robotic software can be complex and require specialized skills. Users, including developers and operators, may need to undergo a steep learning curve to effectively utilize these platforms. Robotic software platforms often need to be tailored to specific hardware configurations and robot models and this hardware dependency can limit flexibility and interoperability, making it challenging to switch between different robots or brands.

Sensors are important features used in robots for perception and decision-making. However, limitations in sensor technology can impact a robot's ability to accurately perceive its environment, especially in challenging conditions like low light or adverse weather. Creating robots that can effectively interact with humans in various contexts, understand natural language and exhibit social skills is a complex challenge that robotic software platforms are still working to address.

Segment Analysis

The global robotic software platforms market is segmented based Software, Robot, deployment, enterprise size, end-user and region.

Adoption of Service Robots for Automate Task

Service robots are expected to be the major segment fueling the market growth with a share of more than 1/3rd in 2022. Businesses across industries are seeking ways to automate routine tasks and increase operational efficiency. Service robots offer a solution by handling repetitive tasks, such as delivery, cleaning and customer service, allowing human workers to focus on more complex and value-added activities. Service robots can fill the gap by performing tasks that would otherwise require human labor, helping businesses maintain consistent operations.

For instance, on 24 August 2023, KEENON Robotics, a prominent global robotic service provider announced a partnership with Daesung Industrial Co., Ltd., a well-known energy and electrical product company based in Korea and this collaboration signifies a significant step for KEENON's expansion in the Korean market, aiming to provide cutting-edge service robots to businesses and transform customer experiences.

Geographical Penetration

Rapid Industrialization in Asia-Pacific Boost the Market

Asia-Pacific is among the major regions in the global robotic software platforms market covering about 1/4th of the market. The region is undergoing rapid industrialization, leading to increased demand for automation and robotics in manufacturing and other industries. Robotic software platforms enable efficient deployment and management of robotic systems in these sectors.

For instance, on 30 May 2022, Amazon announced plans to develop software for its consumer robots in India. The company is working to expand its capabilities in the robotics field and is reportedly looking to tap into India's talent pool in artificial intelligence and robotics. Amazon has been actively investing in robotics and automation to improve its fulfillment and delivery processes.

Competitive Landscape

The major global players in the market include: ABB, Brain Crop, AIBrain, CloudMinds, Energid Technologies, Furhat Robotics, H2O.ai, IBM, NVIDIA and Oxbotica.

COVID-19 Impact Analysis

The pandemic highlighted the need for automation to reduce human contact and maintain business operations during lockdowns. Robotic software platforms that enable automation have seen increased demand in industries such as manufacturing, logistics and healthcare. Robotic software platforms have facilitated the development of delivery robots, drones and autonomous vehicles for contactless deliveries, reducing the risk of virus transmission.

Robotic software platforms have been used in healthcare settings for tasks such as disinfection, remote patient monitoring and telemedicine, minimizing exposure between healthcare professionals and patients. Robotic software platforms equipped with AI have enabled remote monitoring and predictive maintenance of machines and equipment, reducing the need for on-site technicians.

The pandemic disrupted global supply chains, affecting the production and distribution of components necessary for robotic systems and potentially slowing down growth. Economic uncertainties caused by the pandemic led to reduced investment in technology and automation projects, impacting the expansion of robotic software platforms. Lockdowns and social distancing measures limited the deployment of robotic systems in certain industries, hindering their growth potential.

AI Impact

AI technologies like machine learning, deep learning and computer vision these technologies used algorithms that enable robotic software platforms to perform tasks with greater autonomy and adaptability. AI algorithms allow robots to learn from their environments train them to make real-time decisions and adjust their actions based on changing conditions and this results in more efficient and capable robotic systems that can operate autonomously in various environments.

AI-powered robotic software platforms generate a large amount of sensor data which process later and extract information that other sensors accurately perceive and understand their surroundings and this enhances their ability to navigate complex environments, avoid obstacles and interact with objects and humans safely and effectively. It also enables cognitive abilities and use of natural language processing that understand human gestures.

For instance, on 23 August 2023, The Singapore MIT-Alliance for Research and Technology launched an interdisciplinary research group called Mens, Manus and Machina to address challenges related to the rise of artificial intelligence (AI), automation and robotics. M3S will work on topics like human-machine collaboration, AI ethics, human capital development and economic growth. The collaboration involves a team of professors from MIT and institutions in Singapore, aiming to enhance the country's AI ecosystem and support workforce training and mentorship in AI.

Russia- Ukraine War Impact

As there could be an increased demand for robotic systems and software platforms during time of conflict, for defense and security purposes and these platforms could be used for surveillance, reconnaissance and even in combat scenarios to reduce the risk to human soldiers. Robotic software platforms designed for disaster response and humanitarian aid could be utilized in conflict zones to assist with tasks such as search and rescue, delivering supplies and providing medical support to affected populations.

Robotic software platforms equipped with advanced sensors and AI could be used for remote monitoring of conflict areas and borders and provides real-time data to military and security personnel. The urgency of the conflict might lead to increased innovation and collaboration among researchers, engineers and organizations working on robotic software platforms for military and defense applications.

By Software

Recognition Software
Simulation Software
Predictive Maintenance Software
Data Management and Analysis Software
Communication Management Solution

By Robot

Service Robots
Industrial Robots

By Deployment

Service Robots
On-Premise
On-Demand

By Enterprise Size

Small and Medium Enterprises
Large Enterprises

By End-User

Automotive
Retail and E-commerce
Healthcare
Transportation & Logistics
Others

By Region

North America
- U.S.
- Canada
- Mexico

Europe
- Germany
- UK
- France
- Italy
- Russia
- Rest of Europe

South America
- Brazil
- Argentina
- Rest of South America

Asia-Pacific
- China
- India
- Japan
- Australia
- Rest of Asia-Pacific

Middle East and Africa

Key Developments

On 30 March 2022, Oceaneering International introduced a new lineup of autonomous mobile robots and launched three new models in North America. The new robots are designed to enhance efficiency in various industries. The UniMover D 100 is a small vehicle for transporting light goods such as boxes and totes.
On 21 March 2023, CoEvolution Technology has introduced its multi-robot orchestration software to the U.S. market, with a focus on enhancing logistics and warehouse operations. The software powered by AI enables the control and coordination of various types of robots to work together seamlessly as a unified fleet.
On 12 April 2022, ABB Robotics introduced a groundbreaking software solution called High Speed Alignment, aimed at enhancing speed and precision in electronics assembly. The software leverages 50 years of ABB's software expertise and employs Visual Servoing technology combined with computer vision systems to control the positioning of 6-axis robots relative to workpieces.

Why Purchase the Report?

To visualize the global robotic software platforms market segmentation based on software, robot, deployment, enterprise size, end-user and region, as well as understand key commercial assets and players.
Identify commercial opportunities by analyzing trends and co-development.
Excel data sheet with numerous data points of robotic software platforms market-level with all segments.
PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
Product mapping available as excel consisting of key products of all the major players.

The global robotic software platforms market report would provide approximately 77 tables, 78 figures and 203 pages.

Target Audience 2023

Manufacturers/ Buyers
Industry Investors/Investment Bankers
Research Professionals
Emerging Companies

1. Methodology and Scope

1.1. Research Methodology
1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

3.1. Snippet by Software
3.2. Snippet by Robot
3.3. Snippet by Deployment
3.4. Snippet by Enterprise Size
3.5. Snippet by End-User
3.6. Snippet by Region

4. Dynamics

4.1. Impacting Factors
- 4.1.1. Drivers
  - 4.1.1.1. Government Agencies Adopts Robotic Systems
  - 4.1.1.2. Collaboration and Partnership Between Companies Boosts the Market
  - 4.1.1.3. Technology Advancement
- 4.1.2. Restraints
  - 4.1.2.1. Complex Robotic Software and Exhibits Social Skills
- 4.1.3. Opportunity
- 4.1.4. Impact Analysis

5. Industry Analysis

5.1. Porter's Five Force Analysis
5.2. Supply Chain Analysis
5.3. Pricing Analysis
5.4. Regulatory Analysis
5.5. Russia-Ukraine War Impact Analysis
5.6. DMI Opinion

6. COVID-19 Analysis

6.1. Analysis of COVID-19
- 6.1.1. Scenario Before COVID
- 6.1.2. Scenario During COVID
- 6.1.3. Scenario Post COVID
6.2. Pricing Dynamics Amid COVID-19
6.3. Demand-Supply Spectrum
6.4. Government Initiatives Related to the Market During Pandemic
6.5. Manufacturers Strategic Initiatives
6.6. Conclusion

7. By Software

7.1. Introduction
- 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Software
- 7.1.2. Market Attractiveness Index, By Software
7.2. Recognition Software *
- 7.2.1. Introduction
- 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
7.3. Simulation Software
7.4. Predictive Maintenance Software
7.5. Data Management and Analysis Software
7.6. Communication Management Solution

8. By Robot

8.1. Introduction
- 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Robot
- 8.1.2. Market Attractiveness Index, By Robot
8.2. Service Robots *
- 8.2.1. Introduction
- 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
8.3. Industrial Robots

9. By Deployment Model

9.1. Introduction
- 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Model
- 9.1.2. Market Attractiveness Index, By Deployment Model
9.2. On-Premise *
- 9.2.1. Introduction
- 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
9.3. On-Demand

10. By Enterprise Size

10.1. Introduction
- 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
- 10.1.2. Market Attractiveness Index, By Enterprise Size
10.2. Small and Medium Enterprises*
- 10.2.1. Introduction
- 10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
10.3. Large Enterprises

11. By End-User

11.1. Introduction
- 11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 11.1.2. Market Attractiveness Index, By End-User
11.2. Automotive *
- 11.2.1. Introduction
- 11.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
11.3. Retail and E-commerce
11.4. Healthcare
11.5. Transportation & Logistics
11.6. Others

12. By Region

12.1. Introduction
- 12.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
- 12.1.2. Market Attractiveness Index, By Region
12.2. North America
- 12.2.1. Introduction
- 12.2.2. Key Region-Specific Dynamics
- 12.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Software
- 12.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Robot
- 12.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 12.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
- 12.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 12.2.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 12.2.8.1. U.S.
  - 12.2.8.2. Canada
  - 12.2.8.3. Mexico
12.3. Europe
- 12.3.1. Introduction
- 12.3.2. Key Region-Specific Dynamics
- 12.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Software
- 12.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Robot
- 12.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 12.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
- 12.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 12.3.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 12.3.8.1. Germany
  - 12.3.8.2. UK
  - 12.3.8.3. France
  - 12.3.8.4. Italy
  - 12.3.8.5. Russia
  - 12.3.8.6. Rest of Europe
12.4. South America
- 12.4.1. Introduction
- 12.4.2. Key Region-Specific Dynamics
- 12.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Software
- 12.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Robot
- 12.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 12.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
- 12.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 12.4.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 12.4.8.1. Brazil
  - 12.4.8.2. Argentina
  - 12.4.8.3. Rest of South America
12.5. Asia-Pacific
- 12.5.1. Introduction
- 12.5.2. Key Region-Specific Dynamics
- 12.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Software
- 12.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Robot
- 12.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 12.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
- 12.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 12.5.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 12.5.8.1. China
  - 12.5.8.2. India
  - 12.5.8.3. Japan
  - 12.5.8.4. Australia
  - 12.5.8.5. Rest of Asia-Pacific
12.6. Middle East and Africa
- 12.6.1. Introduction
- 12.6.2. Key Region-Specific Dynamics
- 12.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Software
- 12.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Robot
- 12.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 12.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Enterprise Size
- 12.6.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User

13. Competitive Landscape

13.1. Competitive Scenario
13.2. Market Positioning/Share Analysis
13.3. Mergers and Acquisitions Analysis

14. Company Profiles

14.1. ABB *
- 14.1.1. Company Overview
- 14.1.2. Product Portfolio and Description
- 14.1.3. Financial Overview
- 14.1.4. Key Developments
14.2. Brain Crop
14.3. AIBrain
14.4. CloudMinds
14.5. Energid Technologies
14.6. Furhat Robotics
14.7. H2O.ai
14.8. IBM
14.9. NVIDIA
14.10. Oxbotica

LIST NOT EXHAUSTIVE

15. Appendix

15.1. About Us and Services
15.2. Contact Us

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