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自動化人工智能

市場調查報告書

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1360034

全球人工智慧 (AI) 機器人市場 - 2023-2030

Global Artificial Intelligence (AI) Robots Market - 2023-2030

出版日期: 2023年10月11日 | 出版商:

DataM Intelligence | 英文 186 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

概述：

全球人工智慧（AI）機器人市場在2022年達到71億美元，預計2030年將達到382億美元，2023-2030年預測期間複合年成長率為37.6%。

人工智慧機器人依賴不斷發展和變得更好的複雜神經網路和機器學習演算法。隨著人工智慧技術的進步，人工智慧機器人將能夠完成更困難的任務並適應不斷變化的情況。由於感測器、CPU 和攝影機等人工智慧設備的價格下降，人工智慧機器人正變得越來越容易被企業和個人所接受。

例如，2023 年 6 月 6 日，總部位於東京的新創公司 Preferred Robotics 推出了一款名為 Kachaka 的家用機器人，旨在根據語音命令交付物品。機器人安裝在配有腳輪的專用桌子的底部。使用者將一個物體放在桌上，透過應用程式預先註冊家中的位置，然後向機器人發出語音命令，將物體運送到指定地點。

北美在全球人工智慧(AI) 機器人市場中佔據主導地位，佔市場佔有率超過3/5，該地區是許多技術創新的發源地，擁有主要專注於人工智慧和機器人技術的研究機構、新創公司和科技公司。人工智慧機器人擴大用於手術和遠距醫療等多種任務。

動態：

政府措施提振市場

人工智慧機器人可以自動執行重複且耗時的任務，從而提高政府營運的效率並節省成本，並且它們可以處理資料輸入、客戶服務查詢和其他日常流程，使政府員工能夠專注於更複雜和策略性的任務。人工智慧機器人可以快速分析大量資料，幫助政府機構做出數據驅動的決策，它們還可以識別趨勢、檢測異常並提供可為政策制定和資源分配提供資訊的見解。

例如，2023 年 4 月 10 日，印度政府科技部技術開發委員會批准了對位於坎普爾的印度理工學院孵化的新創公司 M/s MLIT-18 Technology Private Limited 的支持。該公司的目標是實現製造業自動化機器視覺和機器人系統的商業化。 TDB 將在項目總成本 589 千萬盧比中提供 412 千萬盧比的財政支持。

對自動化的需求不斷成長

人工智慧機器人能夠高速、精準地執行重複性任務，進而提高製造、物流和其他產業的效率和生產力。隨著時間的推移，人工智慧機器人的自動化可以顯著節省成本，因為機器人可以不間斷地連續工作，並且不需要福利或薪資。人工智慧機器人可以持續生產高品質的產品並提供一致的結果，減少製造過程中的錯誤和缺陷。

例如，2023 年 5 月 25 日，ABB Robotics 推出了機器人物品揀選器，這是一種基於人工智慧和視覺的解決方案，旨在準確識別和揀選倉庫和履行中心內非結構化環境中的物品。利用機器視覺和人工智慧，物品拾取器可以在吸力夾具拾取物品並將其放入指定的箱子之前確定每個物品的最佳抓取點。

公司間的合作推動市場發展

公司經常合作以利用彼此的專業知識。一家公司可能擅長人工智慧演算法，而另一家公司則專注於機器人硬體。透過聯手，他們可以創造出更先進的人工智慧機器人。開發人工智慧機器人的成本可能很高。協作可以讓企業分擔財務負擔，從而使研究和開發先進機器人更具成本效益。協作可以加快開發過程。

例如，2021 年 10 月 29 日，IBM、波士頓動力公司和國家電網合作部署波士頓動力公司的機器狗“Spot”，在馬薩諸塞州和紐約的國家電網站點進行自主檢查。該機器人將配備IBM研究院的人工智慧和混合雲端技術。此次合作旨在將 Spot 轉變為智慧型邊緣設備，能夠自動檢查和監控設備並即時識別問題。

故障排除和決策阻礙了市場的成長

在複雜、非結構化的現實環境中，人工智慧機器人經常難以有效地導航和運行，並可能遇到困難，包括不平坦的表面、不斷變化的照明環境和意外的障礙。由於人工智慧機器人普遍缺乏常識推理，因此它們可能難以完成對人類來說簡單但需要對現實有豐富理解的任務，例如理解自然語言或理解模糊的環境。

人工智慧機器人依靠感測器來感知周圍環境。感測器技術雖然不斷進步，但在精度、範圍和對各種條件的適應性方面仍然存在局限性。許多人工智慧機器人依賴大量資料進行訓練和決策，在資料稀缺或無法代表當前環境的情況下，它們可能會陷入困境。開發和部署人工智慧機器人可能成本高昂，這可能會限制它們的可訪問性和採用，特別是對於小型企業或個人而言。

AI robots depend on complicated neural networks and machine learning algorithms that are always developing and getting better. As AI technology advances, AI robots will be able to complete more difficult tasks and adapt to shifting situations. AI robots are becoming more accessible to both businesses and people because of falling prices for AI gear like sensors, CPUs and cameras.

For instance, on 6 June 2023, Tokyo-based startup Preferred Robotics has unveiled a home-use robot called Kachaka, designed to deliver items based on voice commands. The robot attaches to the bottom of a specialized table equipped with caster wheels. Users place an object on the table, pre-register a location in the house via an app and then issue a voice command for the robot to transport the object to the designated spot.

North America is dominating the global Artificial Intelligence (AI) Robots market covering more than 3/5th of the market and the region is home to many technical innovations having research institutes, startups and tech companies that mainly focus on AI and robotics. AI robots are increasingly used in many various tasks like surgery and telemedicine.

Dynamics:

Government Initiatives Boost the Market

AI robots automate repetitive and time-consuming tasks, leading to increased efficiency and cost savings in government operations and they lead to handle data entry, customer service inquiries and other routine processes, allowing government employees to focus on more complex and strategic tasks. AI robots can analyze large volumes of data quickly, helping government agencies make data-driven decisions, they also identify trends, detect anomalies and provide insights that can inform policy-making and resource allocation.

For instance, on 10 April 2023, The Technology Development Board under the Department of Science & Technology, Government of India, approved support for M/s MLIT-18 Technology Private Limited, an incubated startup at the Indian Institute of Technology, Kanpur. The company aims to commercialize a Machine Vision and Robotics System for Automation in the Manufacturing Industry. TDB will provide financial support of ₹4.12 Crores out of the total project cost of ₹5.89 Crores.

Growing Need for Automation

AI robots perform repetitive tasks with high speed and precision, leading to increased efficiency and productivity in manufacturing, logistics and other industries. Automation with AI robots can lead to significant cost savings over time as robots can work continuously without breaks and do not require benefits or salaries. AI robots can consistently produce high-quality products and deliver consistent results, reducing errors and defects in manufacturing processes.

For instance, on 25 May 2023, ABB Robotics introduced the Robotic Item Picker, an AI and vision-based solution designed to accurately identify and pick items in unstructured environments within warehouses and fulfillment centers. Using machine vision and artificial intelligence, the Item Picker determines the optimal grasp points for each item before the suction gripper picks it up and places it into designated bins.

Collaboration Between Companies Boosts the Market

Companies often collaborate to leverage each other's expertise. One company may excel in AI algorithms, while another specializes in robotics hardware. By joining forces, they can create more advanced AI robots. Developing AI robots can be expensive. Collaborating allows companies to share the financial burden, making it more cost-effective to research and develop advanced robots Collaboration can speed up the development process.

For instance, on 29 October 2021, IBM, Boston Dynamics and National Grid have partnered to deploy Boston Dynamics' robot dog, "Spot," for autonomous inspections at National Grid sites in Massachusetts and New York. The robot will be equipped with AI and hybrid cloud technology from IBM Research. The partnership aims to transform Spot into an intelligent edge device capable of autonomously inspecting and monitoring equipment and identifying issues in real-time.

Troubleshooting and Decision Making Hinders the Growth of the Market

In complicated, unstructured real-world contexts, AI robots frequently struggle to navigate and function efficiently and may run into difficulties including uneven surfaces, shifting lighting circumstances and unexpected impediments. Since common sense reasoning is generally lacking in AI robots, they may have trouble doing tasks that are straightforward for humans but necessitate a rich understanding of reality, such as comprehending natural language or making sense of ambiguous circumstances.

AI robots rely on sensors to perceive their surroundings. Sensor technology while improving, still has limitations in terms of accuracy, range and adaptability to various conditions. Many AI robots depend on large amounts of data for training and decision-making and they may struggle in situations where data is scarce or not representative of the current context. Developing and deploying AI robots can be costly, which may limit their accessibility and adoption, especially for small businesses or individuals.

Segment Analysis:

The global Artificial Intelligence (AI) Robots market is segmented based on offerings, robot type, technology, deployment mode, application and region.

Adoption of Service-based Robots Boosts the Market

AI and machine learning technologies have significantly enhanced the capability of service robots and these service robots perform various complex tasks and learn to adapt to changes in environments. These robots are majorly used in industrial areas for handling materials, for doing inspections and maintenance. The growth in e-commerce industries led to an increase in the demand for service robots in warehousing and logistics.

For instance, on 10 November 2022, Amazon introduced a new robotic system called "Sparrow" to streamline the fulfillment process. Sparrow is designed to handle individual products in Amazon's inventory using computer vision and artificial intelligence (AI). It can detect, select and handle millions of items, marking a significant advancement in industrial robotics technology. Sparrow automates the handling of individual products, allowing Amazon employees to focus on more complex tasks.

Geographical Penetration:

Region Heavily Investing in Technology Boosts the Market

Asia-Pacific is the fastest-growing region in the global artificial intelligence robots market and countries that are investing in AI and robotics research and development include China, Japan and South Korea. The development of AI robots in the region is driven by ongoing technological developments in AI algorithms, machine learning, sensors and hardware components. In areas including manufacturing consumer products, electronics and automobiles, AI robots are commonly used.

For instance, on 12 August 2022, Hyundai Motor Group and Boston Dynamics announced the launch of the Boston Dynamics AI Institute with an initial investment of over US$ 400 million. The institute will focus on advancing artificial intelligence, robotics and intelligent machines. It will work in four core technical areas: cognitive AI, athletic AI organic hardware design and ethics and policy. The institute will be headquartered in Cambridge, Massachusetts and will collaborate with universities and corporate research labs to achieve its mission.

Competitive Landscape

The major global players in the market include: NVIDIA Corporation, IBM Corporation, Vicarious Inc., Veo Robotics, Inc., Microsoft Corporation, Hanson Robotics Ltd., Neurala, Inc., Kindred, Inc., Brain Corporation and Preferred Networks, Inc.

COVID-19 Impact Analysis:

The pandemic accelerated the adoption of AI robots in various industries, particularly in healthcare and logistics. Robots were deployed for tasks like disinfection, patient care and contactless delivery to reduce the risk of virus transmission. AI robots were used in hospitals and healthcare facilities to assist healthcare workers in tasks like monitoring patients, delivering medication and even conducting tests and they helped reduce the burden on healthcare professionals and minimized their exposure to the virus.

Many employees working remotely, companies looked to AI robots to maintain essential operations and these robots were used in data centers, warehouses and other facilities to perform tasks that would typically require human presence. The demand for robots equipped with UV-C lights or disinfectant sprayers surged during the pandemic and these robots were used to sanitize public spaces, offices and hospitals to reduce the risk of virus transmission.

The pandemic disrupted global supply chains, leading to increased interest in automation. AI robots were used in warehouses and fulfillment centers to meet the rising demand for e-commerce and reduce the reliance on human labor. AI robots were used in various public spaces to enforce social distancing measures and they could monitor crowds, provide reminders and even distribute masks and hand sanitizers. AI and machine learning were crucial for analyzing vast amounts of data related to the pandemic, including patient data, infection rates and vaccine distribution.

AI Impact

Robots may acquire knowledge from their experiences and adjust to shifting environments because of AI. Robots can continuously improve their performance with the aid of machine learning methods like deep reinforcement learning. Robots are better able to see and understand their surroundings because of AI-powered sensors and computer vision systems, which improve their capacity to navigate challenging situations and interact with things and people.

AI has made it possible for robots to comprehend human voice instructions and spoken language, improving the usability and accessibility of human-robot communication. AI robots can display cognitive skills including problem-solving, decision-making and planning, which increases their adaptability to handle different tasks.

For instance, on 29 July 2023, Google introduced the Robotics Transformer 2 (RT-2) an advanced AI model aimed at teaching robots to perform real-world actions, marking a significant stride in the development of adaptable and useful robots. RT-2 utilizes its capability to comprehend and process text and images from the web, enabling it to instruct robots to execute specific actions and adapt to new situations.

Russia- Ukraine War Impact

The conflict may disrupt global supply chains, affecting the production of AI hardware components, such as sensors and processors and this disruption could lead to delays in the manufacturing and deployment of AI robots. Economic and geopolitical uncertainties resulting from the war may influence resource allocation for AI research and development. Governments and organizations may reprioritize funding and resources, potentially affecting AI projects.

The conflict may lead to changes in international alliances and trade relationships and this could impact collaborations in AI research and the sharing of AI-related technologies and knowledge. AI research agendas may shift to address emerging challenges related to the war, such as cybersecurity and data analysis for geopolitical intelligence and this could temporarily divert attention from other AI research areas.

By Offerings

Software
Hardware

By Robot Type

Service Robots
Industrial Robots

By Technology

Machine Learning
Computer Vision
Context Awareness
Natural Language Processing

By Deployment Mode

Cloud
On-Premises

By Application

Military & Defense
Law Enforcement
Personal Assistance & Caregiving
Public Relations
Education & Entertainment
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

In June 2023, Guardforce AI announced a collaboration agreement with Hong Kong Industrial Artificial Intelligence and Robotics Centre Limited (FLAIR) to work on developing Robotics-as-a-Service (RaaS) solutions and artificial intelligence (AI) cloud platforms globally. FLAIR, founded by the Hong Kong Productivity Council (HKPC) with RWTH Aachen Campus in Germany as a major collaborator, will provide Guardforce AI with access to its technology and expertise over an initial two-year period.
In November 2022, Brain Corp unveiled its third-generation autonomy platform for commercial robotics, building on its BrainOS autonomous robotic operating system and this new platform is designed to support a future generation of intelligent robotic solutions across various commercial sectors. It features a modular architecture to simplify product development and introduces several key enhancements aimed at expanding robot applications and improving machine capabilities, performance, safety and security.
In March 2022, In Bengaluru, Karnataka, the first Artificial Intelligence & Robotics Technology Park (ARTPARK) in India has been officially opened. With initial funding of Rs. 239 from the central government and the University of Aalto in Finland and India medical institute are the partners.

Why Purchase the Report?

To visualize the global artificial intelligence (AI) robots market segmentation based on offerings, robot type, technology, deployment mode, application 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 artificial intelligence (AI) robots 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 artificial intelligence (AI) robots market report would provide approximately 77 tables, 78 figures and 186 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 Offerings
3.2. Snippet by Robot Type
3.3. Snippet by Technology
3.4. Snippet by Deployment Mode
3.5. Snippet by Application
3.6. Snippet by Region

4. Dynamics

4.1. Impacting Factors
- 4.1.1. Drivers
  - 4.1.1.1. Government Initiatives Boost the Market
  - 4.1.1.2. Growing Need for Automation
  - 4.1.1.3. Technology Advancement
- 4.1.2. Restraints
  - 4.1.2.1. Troubleshooting and Decision Making Hinders the Growth of the Market
- 4.1.3. 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 Offerings

7.1. Introduction
- 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offerings
- 7.1.2. Market Attractiveness Index, By Offerings
7.2. Software*
- 7.2.1. Introduction
- 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
7.3. Hardware

8. By Robot Type

8.1. Introduction
- 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Robot Type
- 8.1.2. Market Attractiveness Index, By Robot Type
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 Technology

9.1. Introduction
- 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
- 9.1.2. Market Attractiveness Index, By Technology
9.2. Machine Learning*
- 9.2.1. Introduction
- 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
9.3. Computer Vision
9.4. Context Awareness
9.5. Natural Language Processing

10. By Deployment Mode

10.1. Introduction
- 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
- 10.1.2. Market Attractiveness Index, By Deployment Mode
10.2. Cloud*
- 10.2.1. Introduction
- 10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
10.3. On-Premises

11. By Application

11.1. Introduction
- 11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 11.1.2. Market Attractiveness Index, By Application
11.2. Military & Defense*
- 11.2.1. Introduction
- 11.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
11.3. Law Enforcement
11.4. Personal Assistance & Caregiving
11.5. Public Relations
11.6. Education & Entertainment
11.7. 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 Offerings
- 12.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Robot Type
- 12.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
- 12.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
- 12.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 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 Offerings
- 12.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Robot Type
- 12.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
- 12.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
- 12.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 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 Offerings
- 12.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Robot Type
- 12.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
- 12.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
- 12.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 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 Offerings
- 12.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Robot Type
- 12.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
- 12.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
- 12.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 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 Offerings
- 12.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Robot Type
- 12.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
- 12.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
- 12.6.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application

13. Competitive Landscape

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

14. Company Profiles

14.1. NVIDIA Corporation*
- 14.1.1. Company Overview
- 14.1.2. Product Portfolio and Description
- 14.1.3. Financial Overview
- 14.1.4. Key Developments
14.2. IBM Corporation
14.3. Vicarious Inc.
14.4. Veo Robotics, Inc.
14.5. Microsoft Corporation
14.6. Hanson Robotics Ltd.
14.7. Neurala, Inc.
14.8. Kindred, Inc.
14.9. Brain Corporation
14.10. Preferred Networks, Inc.

LIST NOT EXHAUSTIVE