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1324314

2030 年智慧機器市場預測：按組件、機器類型、技術、最終用戶和地區分類的全球分析

Smart Machines Market Forecasts to 2030 - Global Analysis By Component (Services, Software, Hardware and Other Components), Machine Type, Technology, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 175+ Pages | 商品交期: 2-3個工作天內

價格

據Stratistics MRC預測，2023年全球智慧機器市場規模將達到896億美元，預計到2030年將達到3626億美元，預測期內年複合成長率為22.1%。

智慧機器利用機器對機器（M2M）技術。智慧機器是一種無需人類參與即可自行解決問題或做出決策的物體或系統。這些系統可以快速準確地執行重複性任務。智慧機器獨立工作，有助於預防和解決由於熱工作點漂移、原料狀況波動以及機器零件磨損而引起的多種加工缺陷。

各行業對改善資料可訪問性的需求不斷成長

工業界使用智慧機器為網路資源提供動力並包含分佈式智慧。合併設備可提高可訪問性和彈性。智慧機器可以連接到由互聯設備組成的大型網路，允許用戶跨多個設備共享資料。此外，它允許用戶隨時隨地連接和訪問他們的設備。

具體性能問題

這種機制需要專門的訓練，但智慧機器人被設計為能夠從錯誤中學習。如果智慧機器無法識別並糾正其錯誤，而是選擇學習錯誤的資訊，則可能會給用戶帶來嚴重的問題。智慧機器安全、私密地收集資料的能力是其發展的主要障礙。如果資料不受保護，則可能會被惡意使用。此外，智慧機器價格昂貴，因為它們使用尖端的零件和技術。

採用創新技術

認知計算和人工智慧等技術對於智慧設備的創建至關重要。這些技術具有交互、從周圍環境中學習和自我調節的能力。智慧機器正在全球各行業迅速取代傳統機器，推動市場擴張。例如，Rethink Robotics 製造和銷售的機器人即使對於非技術人員來說也易於培訓和修改。該公司的認知計算和人工智慧驅動的機器人 Baxter 已在許多工廠使用。

智慧機器面臨的法律約束

不同國家對新興技術總是存在法律限制。有些限制與安全有關，有些限制與隱私有關。結果，智慧機器的生產被停止，阻礙了市場的擴張。例如，谷歌於2014年5月發布了一款名為“Google Glass”的新型穿戴式設備。該產品很快受到歡迎。出於隱私方面的考慮，一些國家選擇不使用它。

COVID-19 的影響：

COVID-19 正在全世界範圍內產生不可估量的影響。這一趨勢對亞洲、北美和歐洲市場的影響最大。該病毒主要在歐洲迅速傳播，封鎖對那裡的生產活動產生了負面影響。供應鏈活動受到影響，導致市場上系統的生產和分配發生變化。此外，工人的安全受到影響，導致產量下降和對智慧機器人的需求。

軟體部分預計將在預測期內成為最大的部分

智慧機器軟體領域在整個預測期內佔據了大部分市場佔有率，因為它能夠為企業提供更有效、更準確和更實惠的解決方案。智慧機器軟體可以簡化營運、提高公司的整體生產力、降低成本並增加收入。智慧機器軟體還可以幫助組織快速識別和解決任何問題，減少出錯的可能性並提高客戶滿意度。

預計自主機器人領域在預測期內將出現最高的年複合成長率

由於先進機器人提供更大的彈性和適應性以及對自主機器人的需求不斷成長等要素，自主機器人細分市場預計在預測期內將以最高年複合成長率成長。此外，單一用途機器正在轉變為多用途機器，用於工業用途，例如客戶服務和參與、零件包裝和組裝以及物流流程。

佔比最大的地區

由於對自動化的大量需求、大量老牌公司的存在以及易於獲得最尖端科技，北美在預測期內佔據了最大的市場佔有率。物聯網 (IoT)、人工智慧 (AI) 和機器學習只是推動智慧機器市場發展的北美技術開拓的幾個例子。北美智慧機器市場的快速擴張還受到汽車、消費電子、醫療保健和航太等眾多最終用戶行業對自動化和機器人技術日益成長的需求的推動。

複合年複合成長率最高的地區：

由於工業 4.0 概念的出現，將物聯網、雲端運算和自動化融入工業領域，亞太地區預計將在外推期內實現有益成長。推動亞太地區專家系統市場的關鍵要素之一是醫療改革公共支出的增加。由於智慧電錶的安裝和變電站品質的提高，智慧電網等其他專家系統也在該地區越來越受歡迎。

免費客製化服務：

訂閱此報告的客戶將收到以下免費客製化選項之一：

  • 公司簡介
    • 其他市場參與者的綜合分析（最多 3 家公司）
    • 主要企業SWOT分析（最多3家企業）
  • 區域分割
    • 根據客戶興趣對主要國家的市場估計、預測和年複合成長率（注：基於可行性檢查）
  • 競爭標杆管理
    • 根據產品系列、地域分佈和戰略聯盟對主要企業進行基準測試

目錄

第1章 執行摘要

第2章 前言

  • 概述
  • 利益相關者
  • 調查範圍
  • 調查方法
    • 資料挖掘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 調查來源
    • 主要調查來源
    • 二次調查來源
    • 假設

第3章 市場趨勢分析

  • 促進因素
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 最終用戶分析
  • 新興市場
  • 新型冠狀病毒感染疾病（COVID-19）的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭公司之間的敵對關係

第5章 全球智慧機器市場：按組成部分

  • 服務
  • 軟體
  • 硬體
  • 其他組件

第6章 全球智慧機器市場：按機器類型

  • 穿戴式設備
  • 無人機
  • 自動駕駛汽車
  • 機器人
  • 其他機器類型

第7章 全球智慧機器市場：按技術分類

  • 情感科技
  • 認知技術
  • 機器人
  • IoE
  • 巨量資料
  • 雲端運算技術
  • 其他技術

第8章 全球智慧機器市場：按最終用戶分類

  • 航太/國防
  • 消費品/零售
  • 衛生保健
  • 運輸/物流
  • 製造業
  • 其他最終用戶
    • 行業
    • 安全
    • 消費類電子產品
    • 車

第9章 全球智慧機市場：按地區

  • 北美
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳大利亞
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲

第10章 進展

  • 契約、夥伴關係、協作和合資企業
  • 收購和合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第11章公司簡介

  • General Electric Co
  • ABB Limited
  • Microsoft Corporation
  • BAE Systems
  • Narrative Science
  • IBM
  • Google
  • Digital Reasoning
  • Apple
  • AlchemyAPI, Inc
Product Code: SMRC23539

According to Stratistics MRC, the Global Smart Machines Market is accounted for $89.6 billion in 2023 and is expected to reach $362.6 billion by 2030 growing at a CAGR of 22.1% during the forecast period. Machine-to-machine (M2M) technology is used by smart machines, which are objects or systems that can solve issues or make decisions on their own without human participation. These systems are capable of carrying out repeated operations quickly and accurately. Intelligent machines work independently and assist in preventing and resolving multiple processing faults brought on by thermal working point drift, fluctuating conditions in the raw material, or mechanical component wear and tear.

Market Dynamics:

Driver:

Rising requirement for enhanced data accessibility in various industries

In industrial industries, smart machines are used to enhance networked resources and include dispersed intelligence. The incorporation of devices increases accessibility and flexibility. The user can share data across several devices due to the ability of smart machines to connect to a larger network of connected gadgets. Additionally, this makes it possible for users to connect to and access their devices from any location at any time.

Restraint:

Certain performing issues

Although it takes specialized training to achieve this mechanism, intelligent robots are designed to learn from their mistakes. Smart machines could cause serious issues for the user if they are unable to identify and correct their mistakes and opt instead to learn the incorrect information. Smart machines' ability to collect data securely and privately is a major barrier to their development. If the data is not protected, it might be used maliciously. Additionally, because they use cutting-edge components and technologies, smart machines are expensive.

Opportunity:

Adoption of innovative technology

Technologies like cognitive computing and artificial intelligence are crucial to the creation of smart devices. These technologies have the capacity to interact, learn from their surroundings, and self-regulate. Smart machines are rapidly replacing traditional ones in a variety of global industries, which is propelling market expansion. For instance, Rethink Robotics creates and sells robots that are simple for even a non-technical person to train and modify. Their cognitive computing and artificial intelligence-built robot, named Baxter, has already been used in numerous factories.

Threat:

Legal constraints faced by smart machines

Legal restrictions have always existed for various nations' emerging technologies. Some limitations are related to safety concerns, while others are related to privacy concerns. As a result, production of smart machines is stopped, which prevents the market from expanding. For instance, Google Inc. introduced a new wearable device called "Google Glass" in May 2014. This product rapidly gained popularity. Due to privacy concerns, some nations have opted to discourage its use.

COVID-19 Impact:

COVID-19 has an immense impact that can be felt all around the world. The epidemic is having the most impact on markets in Asia, North America, and Europe. The virus spread quickly around Europe, and as a result of the lockdown, production activities there were negatively impacted. Production and distribution of the systems changed in the market as a result of the supply chain activities being impacted. Additionally, the security of the workers was compromised, which decreased output and the need for intelligent robots.

The software segment is expected to be the largest during the forecast period

Due to the capacity to offer businesses more effective, precise, and affordable solutions, the smart machines software segment has held the majority of the market share throughout the forecast period. They can streamline operations and boost firms' overall productivity, cutting costs and boosting revenues. Software for smart machines can also assist organizations in promptly identifying and addressing any issues, lowering the possibility of errors and raising customer satisfaction.

The autonomous robots segment is expected to have the highest CAGR during the forecast period

Factors such as advanced robots that offer better flexibility and adaptability, as well as growing demand for autonomous robots, the autonomous robotics segment is anticipated to grow at the highest compound annual growth rate (CAGR) during the forecast period. Furthermore, the conversion of single-purpose machines into multi-purpose machines and their use in industrial applications like customer service and engagement, packaging and assembly of parts, and logistics processes, among others.

Region with largest share:

North America hold the largest share of the market throughout the projection period due to the region's significant need for automation, the existence of numerous established firms, and the accessibility of cutting-edge technology. The Internet of Things (IoT), artificial intelligence (AI), and machine learning are merely some of the technical developments made in North America that are fueling the market for smart machines. The rapid expansion of the North American market for smart machines is also being fueled by the growing need for automation and robotics across numerous end-user industries, including automotive, consumer electronics, healthcare, and aerospace.

Region with highest CAGR:

As a result of the emergence of the concept of Industry 4.0, which incorporates the use of IoT, cloud computing, and automation in the industrial sector, Asia Pacific is predicted to have profitable growth during the extrapolation period. One of the main factors propelling the expert systems market in Asia-Pacific is the rise in public spending on healthcare reform. Other expert systems, such as smart grids, are also gaining traction in the area as a result of the installation of smart meters and the improvement in substation quality.

Key players in the market:

Some of the key players in Smart Machines market include: General Electric Co, ABB Limited, Microsoft Corporation, BAE Systems, Narrative Science, IBM, Google, Digital Reasoning, Apple and AlchemyAPI, Inc.

Key Developments:

In April 2020, Microsoft released a new version of its cognitive services artificial intelligence (AI) platform, which includes a range of new features such as conversational AI and natural language processing (NLP) capabilities.

Components Covered:

  • Services
  • Software
  • Hardware
  • Other Components

Machine Types Covered:

  • Wearable Device
  • Drones
  • Autonomous Cars
  • Robots
  • Other Machine Types

Technologies Covered:

  • Affective Technology
  • Cognitive Technology
  • Robotics
  • Internet of Everything
  • Big Data
  • Cloud Computing Technology
  • Other Technologies

End Users Covered:

  • Aerospace and Defense
  • Consumer Goods and Retail
  • Healthcare
  • Transportation & Logistics
  • Manufacturing
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2021, 2022, 2023, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Smart Machines Market, By Component

  • 5.1 Introduction
  • 5.2 Services
  • 5.3 Software
  • 5.4 Hardware
  • 5.5 Other Components

6 Global Smart Machines Market, By Machine Type

  • 6.1 Introduction
  • 6.2 Wearable Device
  • 6.3 Drones
  • 6.4 Autonomous Cars
  • 6.5 Robots
  • 6.6 Other Machine Types

7 Global Smart Machines Market, By Technology

  • 7.1 Introduction
  • 7.2 Affective Technology
  • 7.3 Cognitive Technology
  • 7.4 Robotics
  • 7.5 Internet of Everything
  • 7.6 Big Data
  • 7.7 Cloud Computing Technology
  • 7.8 Other Technologies

8 Global Smart Machines Market, By End User

  • 8.1 Introduction
  • 8.2 Aerospace and Defense
  • 8.3 Consumer Goods and Retail
  • 8.4 Healthcare
  • 8.5 Transportation & Logistics
  • 8.6 Manufacturing
  • 8.7 Other End Users
    • 8.7.1 Industrial
    • 8.7.2 Security
    • 8.7.3 Consumer Electronics
    • 8.7.4 Automotive

9 Global Smart Machines Market, By Geography

  • 9.1 Introduction
  • 9.2 North America
    • 9.2.1 US
    • 9.2.2 Canada
    • 9.2.3 Mexico
  • 9.3 Europe
    • 9.3.1 Germany
    • 9.3.2 UK
    • 9.3.3 Italy
    • 9.3.4 France
    • 9.3.5 Spain
    • 9.3.6 Rest of Europe
  • 9.4 Asia Pacific
    • 9.4.1 Japan
    • 9.4.2 China
    • 9.4.3 India
    • 9.4.4 Australia
    • 9.4.5 New Zealand
    • 9.4.6 South Korea
    • 9.4.7 Rest of Asia Pacific
  • 9.5 South America
    • 9.5.1 Argentina
    • 9.5.2 Brazil
    • 9.5.3 Chile
    • 9.5.4 Rest of South America
  • 9.6 Middle East & Africa
    • 9.6.1 Saudi Arabia
    • 9.6.2 UAE
    • 9.6.3 Qatar
    • 9.6.4 South Africa
    • 9.6.5 Rest of Middle East & Africa

10 Key Developments

  • 10.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 10.2 Acquisitions & Mergers
  • 10.3 New Product Launch
  • 10.4 Expansions
  • 10.5 Other Key Strategies

11 Company Profiling

  • 11.1 General Electric Co
  • 11.2 ABB Limited
  • 11.3 Microsoft Corporation
  • 11.4 BAE Systems
  • 11.5 Narrative Science
  • 11.6 IBM
  • 11.7 Google
  • 11.8 Digital Reasoning
  • 11.9 Apple
  • 11.10 AlchemyAPI, Inc

List of Tables

  • Table 1 Global Smart Machines Market Outlook, By Region (2021-2030) ($MN)
  • Table 2 Global Smart Machines Market Outlook, By Component (2021-2030) ($MN)
  • Table 3 Global Smart Machines Market Outlook, By Services (2021-2030) ($MN)
  • Table 4 Global Smart Machines Market Outlook, By Software (2021-2030) ($MN)
  • Table 5 Global Smart Machines Market Outlook, By Hardware (2021-2030) ($MN)
  • Table 6 Global Smart Machines Market Outlook, By Other Components (2021-2030) ($MN)
  • Table 7 Global Smart Machines Market Outlook, By Machine Type (2021-2030) ($MN)
  • Table 8 Global Smart Machines Market Outlook, By Wearable Device (2021-2030) ($MN)
  • Table 9 Global Smart Machines Market Outlook, By Drones (2021-2030) ($MN)
  • Table 10 Global Smart Machines Market Outlook, By Autonomous Cars (2021-2030) ($MN)
  • Table 11 Global Smart Machines Market Outlook, By Robots (2021-2030) ($MN)
  • Table 12 Global Smart Machines Market Outlook, By Other Machine Types (2021-2030) ($MN)
  • Table 13 Global Smart Machines Market Outlook, By Technology (2021-2030) ($MN)
  • Table 14 Global Smart Machines Market Outlook, By Affective Technology (2021-2030) ($MN)
  • Table 15 Global Smart Machines Market Outlook, By Cognitive Technology (2021-2030) ($MN)
  • Table 16 Global Smart Machines Market Outlook, By Robotics (2021-2030) ($MN)
  • Table 17 Global Smart Machines Market Outlook, By Internet of Everything (2021-2030) ($MN)
  • Table 18 Global Smart Machines Market Outlook, By Big Data (2021-2030) ($MN)
  • Table 19 Global Smart Machines Market Outlook, By Cloud Computing Technology (2021-2030) ($MN)
  • Table 20 Global Smart Machines Market Outlook, By Other Technologies (2021-2030) ($MN)
  • Table 21 Global Smart Machines Market Outlook, By End User (2021-2030) ($MN)
  • Table 22 Global Smart Machines Market Outlook, By Aerospace and Defense (2021-2030) ($MN)
  • Table 23 Global Smart Machines Market Outlook, By Consumer Goods and Retail (2021-2030) ($MN)
  • Table 24 Global Smart Machines Market Outlook, By Healthcare (2021-2030) ($MN)
  • Table 25 Global Smart Machines Market Outlook, By Transportation & Logistics (2021-2030) ($MN)
  • Table 26 Global Smart Machines Market Outlook, By Manufacturing (2021-2030) ($MN)
  • Table 27 Global Smart Machines Market Outlook, By Other End Users (2021-2030) ($MN)
  • Table 28 Global Smart Machines Market Outlook, By Industrial (2021-2030) ($MN)
  • Table 29 Global Smart Machines Market Outlook, By Security (2021-2030) ($MN)
  • Table 30 Global Smart Machines Market Outlook, By Consumer Electronics (2021-2030) ($MN)
  • Table 31 Global Smart Machines Market Outlook, By Automotive (2021-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.