市場調査レポート
商品コード
1360034

人工知能(AI)ロボットの世界市場-2023年~2030年

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

出版日: | 発行: DataM Intelligence | ページ情報: 英文 186 Pages | 納期: 約2営業日

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人工知能(AI)ロボットの世界市場-2023年~2030年
出版日: 2023年10月11日
発行: DataM Intelligence
ページ情報: 英文 186 Pages
納期: 約2営業日
ご注意事項 :
本レポートは最新情報反映のため適宜更新し、内容構成変更を行う場合があります。ご検討の際はお問い合わせください。
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  • 概要
  • 目次
概要

概要

世界の人工知能(AI)ロボット市場は、2022年に71億米ドルに達し、2023-2030年の予測期間中にCAGR 37.6%で成長し、2030年には382億米ドルに達すると予測されています。

AIロボットは複雑なニューラルネットワークと機械学習アルゴリズムに依存しており、そのアルゴリズムは常に開発され、改良されています。AI技術の進歩に伴い、AIロボットはより難しいタスクをこなし、移り変わる状況に適応できるようになると思われます。センサー、CPU、カメラなどのAI機器の価格が下落しているため、AIロボットは企業にとっても人にとっても、より身近な存在になりつつあります。

例えば、2023年6月6日、東京を拠点とするスタートアップ企業Preferred Roboticsは、音声コマンドに基づいて商品を配達するように設計された家庭用ロボット「Kachaka」を発表しました。このロボットは、キャスター付きの専用テーブルの底に取り付けられます。ユーザーはテーブルの上に物を置き、アプリで家の中の場所を事前登録し、音声コマンドを出すとロボットが指定された場所まで物を運んでくれます。

北米は人工知能(AI)ロボットの世界市場の5分の3以上を占め、この地域は主にAIとロボット工学に焦点を当てた研究機関、新興企業、ハイテク企業を擁する多くの技術革新の本拠地となっています。AIロボットは、手術や遠隔医療など様々な作業でますます使用されるようになっています。

ダイナミクス

政府の取り組みによる市場促進

AIロボットは、反復的で時間のかかる作業を自動化し、政府業務の効率化とコスト削減につながります。また、データ入力や顧客サービスに関する問い合わせなどの定型的なプロセスを処理するため、政府職員はより複雑で戦略的な作業に集中できます。AIロボットは大量のデータを迅速に分析し、政府機関がデータに基づいた意思決定を行うのを支援します。また、動向を特定し、異常を検知し、政策立案や資源配分に役立つ洞察を提供します。

例えば、2023年4月10日、インド政府科学技術省傘下の技術開発委員会は、インド工科大学カーンプル校のインキュベーション・スタートアップであるM/S MLIT-18 Technology Private Limitedへの支援を承認しました。同社は、製造業における自動化のためのマシンビジョンとロボットシステムの商業化を目指しています。TDBは、総プロジェクト費用5,890万インドルピーのうち、4,120万インドルピーの資金援助を提供します。

自動化ニーズの拡大

AIロボットは、反復作業を高速かつ高精度にこなし、製造、物流、その他の産業における効率性と生産性の向上につながります。AIロボットによる自動化は、ロボットが休みなく働き続け、福利厚生や給与が不要なため、長期的に大幅なコスト削減につながります。AIロボットは高品質な製品を一貫して生産し、一貫した結果を出すことができるため、製造工程におけるエラーや欠陥を減らすことができます。

例えば、2023年5月25日、ABBロボティクスは、倉庫やフルフィルメントセンター内の非構造化環境において品目を正確に識別し、ピッキングするために設計されたAIとビジョンベースのソリューションであるロボットアイテムピッカーを発表しました。マシンビジョンと人工知能を使用することで、アイテムピッカーは、吸引グリッパーがアイテムをピックアップし、指定されたビンに入れる前に、各アイテムの最適な把持ポイントを決定します。

企業間のコラボレーションによる市場の活性化

企業はしばしば、互いの専門知識を活用するために協力し合います。ある企業はAIアルゴリズムに秀でているかもしれませんが、別の企業はロボット工学のハードウェアに特化しているかもしれません。力を合わせることで、より高度なAIロボットを生み出すことができます。AIロボットの開発には多額の費用がかかります。協働することで、企業は経済的負担を分担することができ、より費用対効果の高い先進的なロボットの研究開発が可能になる研究開発は、開発プロセスをスピードアップすることができます。

例えば、2021年10月29日、IBM、ボストン・ダイナミクス、ナショナル・グリッドは、ボストン・ダイナミクスのロボット犬「スポット」をマサチューセッツ州とニューヨーク州にあるナショナル・グリッドのサイトに自律点検用に配備するために提携しました。このロボットには、IBM調査のAIとハイブリッド・クラウド技術が搭載されます。このパートナーシップは、スポットを自律的に設備を点検・監視し、リアルタイムで問題を特定できるインテリジェントなエッジデバイスに変えることを目的としています。

トラブルシューティングと意思決定による市場成長の抑制

複雑で構造化されていない実世界の状況では、AIロボットは効率的なナビゲートや機能に苦戦することが多く、凹凸のある路面、照明状況の変化、予期せぬ障害物などの困難に遭遇する可能性があります。一般的にAIロボットには常識的な推論が欠けているため、自然言語を理解したり、曖昧な状況を理解したりするなど、人間にとっては簡単ですが、現実を豊かに理解する必要があるタスクをこなすのに苦労する可能性があります。

AIロボットは、周囲の状況を認識するためにセンサーに依存しています。センサー技術は進歩しているとはいえ、精度、範囲、様々な条件への適応性という点ではまだ限界があります。多くのAIロボットは、訓練や意思決定のために大量のデータに依存しており、データが不足していたり、現在の状況を代表していなかったりする状況では苦戦を強いられる可能性があります。AIロボットの開発と導入にはコストがかかるため、特に中小企業や個人にとっては、その利用しやすさと導入が制限される可能性があります。

目次

第1章 調査手法と調査範囲

第2章 定義と概要

第3章 エグゼクティブサマリー

第4章 市場力学

  • 影響要因
    • 促進要因
      • 政府の取り組みによる市場促進
      • 自動化ニーズの拡大
      • 技術進歩
    • 抑制要因
      • トラブルシューティングと意思決定による市場成長の抑制
    • 影響分析

第5章 産業分析

  • ポーターのファイブフォース分析
  • サプライチェーン分析
  • 価格分析
  • 規制分析
  • ロシア・ウクライナ戦争の影響分析
  • DMIの見解

第6章 COVID-19分析

第7章 提供別

  • ソフトウェア
  • ハードウェア

第8章 ロボットの種類別

  • サービスロボット
  • 産業ロボット

第9章 技術別

  • 機械学習
  • コンピュータビジョン
  • コンテキスト認識
  • 自然言語処理

第10章 展開方式別

  • クラウド
  • オンプレミス

第11章 用途別

  • 軍事・防衛
  • 法執行機関
  • 個人支援・介護
  • 広報活動
  • 教育・エンターテインメント
  • その他

第12章 地域別

  • 北米
    • 米国
    • カナダ
    • メキシコ
  • 欧州
    • ドイツ
    • 英国
    • フランス
    • イタリア
    • ロシア
    • その他欧州
  • 南米
    • ブラジル
    • アルゼンチン
    • その他南米
  • アジア太平洋
    • 中国
    • インド
    • 日本
    • オーストラリア
    • その他アジア太平洋
  • 中東・アフリカ

第13章 競合情勢

  • 競合シナリオ
  • 市況/シェア分析
  • M&A分析

第14章 企業プロファイル

  • NVIDIA Corporation
    • 企業概要
    • 製品ポートフォリオと説明
    • 財務概要
    • 主な動向
  • IBM Corporation
  • Vicarious Inc.
  • Veo Robotics, Inc.
  • Microsoft Corporation
  • Hanson Robotics Ltd.
  • Neurala, Inc.
  • Kindred, Inc.
  • Brain Corporation
  • Preferred Networks, Inc.

第15章 付録

目次
Product Code: ICT7007

Overview:

Global Artificial Intelligence (AI) Robots Market reached US$ 7.1 billion in 2022 and is expected to reach US$ 38.2 billion by 2030, growing with a CAGR of 37.6% during the forecast period 2023-2030.

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

Table of Contents

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

15. Appendix

  • 15.1. About Us and Services
  • 15.2. Contact Us