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市场调查报告书
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1324314

2030 年智能机器市场预测：按组件、机器类型、技术、最终用户和地区分類的全球分析

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个工作天内

价格

据Stratistics MRC预测，2023年全球智能机器市场规模将达到896亿美元，预计到2030年将达到3626亿美元，预测期内年复合成长率为22.1%。

智能机器利用机器对机器（M2M）技术。智能机器是一种无需人类参与即可自行解决问题或做出决策的物体或系统。这些系统可以快速准确地执行重复性任务。智能机器独立工作，有助于预防和解决由于热工作点漂移、原材料状况波动以及机器零件磨损而引起的多种加工缺陷。

各行业对改善资料可访问性的需求不断增长

工业界使用智能机器为网络资源提供动力并包含分布式智能。合併设备可提高可访问性和弹性。智能机器可以连接到由互联设备组成的大型网络，允许用户跨多个设备共享资料。此外，它允许用户随时随地连接和访问他们的设备。

具体性能问题

这种机制需要专门的训练，但智能机器人被设计为能够从错误中学习。如果智能机器无法识别并纠正其错误，而是选择学习错误的资讯，则可能会给用户带来严重的问题。智能机器安全、私密地收集资料的能力是其发展的主要障碍。如果资料不受保护，则可能会被恶意使用。此外，智能机器价格昂贵，因为它们使用尖端的零件和技术。

采用创新技术

认知计算和人工智能等技术对于智能设备的创建至关重要。这些技术具有交互、从周围环境中学习和自我调节的能力。智能机器正在全球各行业迅速取代传统机器，推动市场扩张。例如，Rethink Robotics 製造和销售的机器人即使对于非技术人员来说也易于培训和修改。该公司的认知计算和人工智能驱动的机器人 Baxter 已在许多工厂使用。

智能机器面临的法律约束

不同国家对新兴技术总是存在法律限制。有些限制与安全有关，有些限制与隐私有关。结果，智能机器的生产被停止，阻碍了市场的扩张。例如，谷歌于2014年5月发布了一款名为“Google Glass”的新型可穿戴设备。该产品很快受到欢迎。出于隐私方面的考虑，一些国家选择不使用它。

COVID-19 的影响：

COVID-19 正在全世界范围内产生不可估量的影响。这一趋势对亚洲、北美和欧洲市场的影响最大。该病毒主要在欧洲迅速传播，封锁对那里的生产活动产生了负面影响。供应链活动受到影响，导致市场上系统的生产和分配发生变化。此外，工人的安全受到影响，导致产量下降和对智能机器人的需求。

软件部分预计将在预测期内成为最大的部分

智能机器软件领域在整个预测期内占据了大部分市场份额，因为它能够为企业提供更有效、更准确和更实惠的解决方案。智能机器软件可以简化运营、提高公司的整体生产力、降低成本并增加收入。智能机器软件还可以帮助组织快速识别和解决任何问题，减少出错的可能性并提高客户满意度。

预计自主机器人领域在预测期内将出现最高的年复合成长率

由于先进机器人提供更大的弹性和适应性以及对自主机器人的需求不断增长等要素，自主机器人细分市场预计在预测期内将以最高年复合成长率增长。此外，单一用途机器正在转变为多用途机器，用于工业用途，例如客户服务和参与、零件包装和组装以及物流流程。

占比最大的地区

由于对自动化的大量需求、大量老牌公司的存在以及易于获得最尖端科技，北美在预测期内占据了最大的市场份额。物联网 (IoT)、人工智能 (AI) 和机器学习只是推动智能机器市场发展的北美技术开拓的几个例子。北美智能机器市场的快速扩张还受到汽车、消费电子、医疗保健和航太等众多最终用户行业对自动化和机器人技术日益增长的需求的推动。

复合年复合成长率最高的地区：

由于工业 4.0 概念的出现，将物联网、云计算和自动化融入工业领域，亚太地区预计将在外推期内实现有益增长。推动亚太地区专家系统市场的关键要素之一是医疗改革公共支出的增加。由于智能电錶的安装和变电站质量的提高，智能电网等其他专家系统也在该地区越来越受欢迎。

免费定制服务：

订阅此报告的客户将收到以下免费定制选项之一：

  • 公司简介
    • 其他市场参与者的综合分析（最多 3 家公司）
    • 主要企业SWOT分析（最多3家企业）
  • 区域分割
    • 根据客户兴趣对主要国家的市场估计、预测和年复合成长率（注：基于可行性检查）
  • 竞争标杆管理
    • 根据产品系列、地域分布和战略联盟对主要企业进行基准测试

目录

第1章执行摘要

第2章前言

  • 概述
  • 利益相关者
  • 调查范围
  • 调查方法
    • 资料挖掘
    • 资料分析
    • 资料检验
    • 研究途径
  • 调查来源
    • 主要调查来源
    • 二次调查来源
    • 假设

第3章市场趋势分析

  • 促进因素
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 最终用户分析
  • 新兴市场
  • 新型冠状病毒感染疾病（COVID-19）的影响

第4章波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争公司之间的敌对关係

第5章全球智能机器市场：按组成部分

  • 服务
  • 软体
  • 硬体
  • 其他组件

第6章全球智能机器市场：按机器类型

  • 可穿戴设备
  • 无人机
  • 自动驾驶汽车
  • 机器人
  • 其他机器类型

第7章全球智能机器市场：按技术分类

  • 情感科技
  • 认知技术
  • 机器人
  • IoE
  • 巨量资料
  • 云计算技术
  • 其他技术

第8章全球智能机器市场：按最终用户分类

  • 航太/国防
  • 消费品/零售
  • 卫生保健
  • 运输/物流
  • 製造业
  • 其他最终用户
    • 行业
    • 安全
    • 消费类电子产品
    • 车

第9章全球智能机市场：按地区

  • 北美
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳大利亚
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲

第10章进展

  • 合同、伙伴关係、协作和合资企业
  • 收购和合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第11章公司简介

  • 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.