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1347992

全球機器人軟體平台市場 - 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: 約2個工作天內

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簡介目錄

概述

全球機器人軟體平台市場在 2022 年達到 8 億美元，預計到 2030 年將達到 71 億美元，2023-2030 年預測期間年複合成長率為 45.3%。

能力更強、更複雜的機器人的發展創造了對有效控制和管理機器人功能的軟體平台的需求。隨著機器人的應用變得更加複雜和多樣化，對適應性軟體平台的需求也在成長。工業 4.0 的發展和智慧製造的興起推動了機器人軟體在各種平台上的採用。根據 IFR（國際機器人聯合會）的數據，2021 年 73% 的機器人安裝在亞太地區。

機器人在醫療保健、酒店、零售和物流等服務領域的使用顯著擴大。服務機器人需要軟體平台來實現導航、交互和數據處理等任務，從而推動機器人軟體市場的成長。將人工智慧和機器學習功能整合到機器人軟體平台中，使機器人能夠學習、適應並做出智慧決策。

在預測期內，北美是全球機器人軟體平台市場的成長地區之一，佔市場佔有率超過1/3。該地區擁有由機器人公司、研究機構和大學組成的強大生態系統，這些公司、研究機構和大學正在積極開發和部署機器人技術，該生態系統促進創新並推動對先進機器人軟體平台的需求。

動力學

政府機構採用機器人系統

機器人軟體平台使政府機構能夠自動執行日常和重複性任務，從而提高營運效率並減少體力勞動，這使政府員工能夠專注於更複雜和增值的活動。政府機構擴大採用數位化轉型舉措，機器人軟體平台在流程現代化和簡化方面發揮著至關重要的作用。

例如，2021 年 10 月 13 日，新加坡國防科學技術局與費城機器人公司 Ghost Robotics 建立合作夥伴關係，開發和測試用於安全、國防和人道主義應用的腿式機器人。此次合作旨在探索移動機器人系統平台在具有挑戰性的城市地形和惡劣環境中的使用。

公司間的合作與夥伴關係

機器人軟體平台通常需要結合硬體、軟體和專業知識來創建全面的解決方案。與不同公司合作可以整合各種組件和技術，以提供完整且強大的機器人系統。協作可以利用不同合作夥伴的優勢來創建客製化解決方案。

例如，2023年7月27日，工業計算技術提供商研華與機器人軟體平台公司MOV.AI建立合作夥伴關係，以簡化自主移動機器人的開發和部署。此次合作旨在將研華堅固耐用的硬體與 MOV.AI 的機器人引擎平台相結合，為 AMR 製造商和整合商創建全面的解決方案。

技術進步

電腦視覺技術使機器人能夠解釋來自環境的視覺資訊，包括對象檢測、識別、追蹤和場景理解。電腦視覺增強了機器人執行需要視覺處理的任務的能力，例如對物體進行分類或識別障礙物。感測器融合和整合使機器人能夠收集準確的數據、在複雜的環境中導航並與物體和人類安全地交互。

例如，2023 年 8 月 25 日，NASA 與德克薩斯州公司 Apptronik 的合作凸顯了該機構在開發用於地球和太空應用的人形機器人方面的專業知識。 Apptronik 的人形機器人名為 Apollo，是通過 NASA 的小型企業創新研究契約開發的。

複雜的機器人軟體並展示社交技能

機器人軟體的開發和編程可能很複雜並且需要專門的技能。用戶（包括開發人員和營運商）可能需要經歷陡峭的學習曲線才能有效地利用這些平台。機器人軟體平台通常需要根據特定的硬體配置和機器人型號進行客製化，這種硬體依賴性會限制靈活性和互操作性，使得在不同機器人或品牌之間切換具有挑戰性。

感測器是機器人用於感知和決策的重要功能。然而，感測器技術的局限性可能會影響機器人準確感知環境的能力，特別是在弱光或惡劣天氣等具有挑戰性的條件下。創建能夠在各種環境下與人類有效互動、理解自然語言並展現社交技能的機器人是機器人軟體平台仍在努力解決的一項複雜挑戰。

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