▶ 調査レポート

スマートマニュファクチャリングの世界市場2021-2026:成長・動向・新型コロナの影響・市場予測

• 英文タイトル:Smart Manufacturing Market - Growth, Trends, COVID-19 Impact, and Forecasts (2021 - 2026)

Mordor Intelligenceが調査・発行した産業分析レポートです。スマートマニュファクチャリングの世界市場2021-2026:成長・動向・新型コロナの影響・市場予測 / Smart Manufacturing Market - Growth, Trends, COVID-19 Impact, and Forecasts (2021 - 2026) / MRC2106A014資料のイメージです。• レポートコード:MRC2106A014
• 出版社/出版日:Mordor Intelligence / 2021年5月20日
• レポート形態:英文、PDF、120ページ
• 納品方法:Eメール(受注後2-3営業日)
• 産業分類:産業自動化
• 販売価格(消費税別)
  Single User¥629,000 (USD4,250)▷ お問い合わせ
  Team User¥703,000 (USD4,750)▷ お問い合わせ
  Corporate License¥1,110,000 (USD7,500)▷ お問い合わせ
• ご注文方法:お問い合わせフォーム記入又はEメールでご連絡ください。
• お支払方法:銀行振込(納品後、ご請求書送付)
レポート概要
本調査レポートでは、スマートマニュファクチャリングの世界市場について調査・分析を行い、イントロダクション、調査手法、エグゼクティブサマリー、市場動向、技術別(PLC、SCADA、ERP、DCS、HMI)分析、コンポーネント別(マシンビジョンシステム、制御装置、ロボット、通信、センサー)分析、エンドユーザー別(自動車、半導体、石油&ガス、化学、航空&防衛)分析、地域別分析、競争状況、投資分析、市場の未来などを掲載しています。
・イントロダクション
・調査手法
・エグゼクティブサマリー
・市場動向
・スマートマニュファクチャリングの世界市場規模:技術別(PLC、SCADA、ERP、DCS、HMI)
・スマートマニュファクチャリングの世界市場規模:コンポーネント別(マシンビジョンシステム、制御装置、ロボット、通信、センサー)
・スマートマニュファクチャリングの世界市場規模:エンドユーザー別(自動車、半導体、石油&ガス、化学、航空&防衛)
・スマートマニュファクチャリングの世界市場規模:地域別
・競争状況
・投資分析
・市場の未来

The Global Smart Manufacturing Market was valued at USD 172.60 billion in 2020 and is expected to reach USD 236.12 billion by 2026 and grow at a CAGR of 5.75% over the forecast period (2021-2026). The outbreak of COVID-19 has triggered the manufacturing sector to re-evaluate its traditional production processes, primarily driving the digital transformation and smart manufacturing practices across the production lines. The manufacturers are also collectively being forced to devise and implement multiple new and agile approaches to monitor product and quality control.

The pandemic has also created an economic turmoil for small, medium, and large-scale industries alike, across the globe. Adding to the woes, country-wise lockdown have been inflicted by the governments in order to minimize the spread of the virus has further resulted in industries taking a hit.

– Industry 4.0 has been aiding the transition of industries from having legacy systems to smart components and smart machines, facilitating digital factories, and later, to an ecosystem of connected plants and enterprises. Anticipating the increased adoption of IoT and digital transformation across industries, the European Commission estimated that IoT’s value in Europe itself is expected to exceed EUR 1 trillion in 2020.
– Smart manufacturing initiatives are also on the rise. Smart Manufacturing Leadership Coalition (SMLC), a combination of US‐based industrial organizations, technology suppliers, laboratories, and universities, is currently working on next-generation Smart Manufacturing Platform and Smart Factory connectivity.
– Similarly, the Industrial Internet Consortium (IIC), another industry‐led initiative, was established to bring together advanced technologies and organizations necessary to accelerate industrial automation growth.
– Smart manufacturing also utilizes Big Data analytics to refine complicated processes and manage supply chains. Big Data analytics allows an enterprise to use smart manufacturing to shift from reactionary practices to predictive ones. This change targets improved the efficiency of the process and performance of the product.

Key Market Trends

Automotive Industry is Expected to Drive the Market Growth

– The prime concern of the automotive industry is the length of a project. Hence, quick return-on-investment projects combined with low-cost automation and cost innovation help manufacturers improve competitiveness through productivity improvement. Value streams are expected to become more agile through adaptive manufacturing and extensive utilization of 3D printing. These value streams are expected to become more software-based.
– Also, the automotive manufacturing is getting impetus from smart technologies, Industry 4.0, and IoT. For instance, discrete manufacturing is the manufacturing or production of distinct parts that can be individually touched and counted. The parts are mainly related to assembly lines. Discrete manufacturing includes products, such as cars, automotive parts, etc. that are getting increasingly connected.
– Smart manufacturing is also expected to help in balancing supply and demand, enhancing product design, optimizing manufacturing efficiency, and significantly reducing waste. Moreover, Industrial robots play a vital role in digital manufacturing, as it creates a virtual and connected ecosystem. Furthermore, it collects data associated with equipment, which is used to enhance the efficiency and scheduling. It also helps in predicting and mitigating any unforeseen error.
– The automotive industry has invested billions into developing edge computing technology. According to Ericsson’s projections, the global number of connected vehicles may grow to around 700 million by 2025. The data volume transmitted between vehicles and the cloud may be about 100 petabytes per month.

China Occupies Maximum Market Share

– China’s manufacturing industry has retained higher growth over the past decade and has become the largest manufacturing country globally. In several industries, including steel, most of the global production comes from China. Manufacturing is one of China’s prominent features, and it is undergoing a rapid transformation. This large-scale transformation has aided the country in being a leading nation in the manufacturing market, globally.
– After the implementation of Industry 4.0 in Germany and the Industrial Internet in the United States, the Chinese government launched the Made in China 2025 policy. This has emerged as a significant focus across the country’s entire manufacturing community to remain the largest manufacturing sector.
– Moreover, at the 2020 National People’s Congress, the CCP announced that in addition to doubling down on its Made in China 2025 and China Standards 2035 initiatives, it may spend approximately USD 1.4 trillion on a digital infrastructure public spending program. China’s New Infrastructure initiative presents exciting opportunities for global companies. Many smart factory adopters in different sectors need to enhance their manufacturing capabilities, such as new energy vehicles, railway, 5G equipment, logistics, and healthcare.
– Considering these factors, Chinese manufacturers adopt various smart manufacturing approaches, like Industry 4.0 and Industrial IoT, for the future global competitiveness and survival. Such instance over the forecast period is anticipated to drive the market for smart manufacturing significantly.

Competitive Landscape

The smart manufacturing market is moderately competitive and consists of several major players. The major players with the prominent shares in the market are focusing on expanding their customer base across foreign countries. The companies are leveraging strategic collaborative initiatives to increase their market share and profitability. The companies operating in the market are also acquiring start-ups working on autonomous delivery robot technologies to strengthen their product capabilities.

– July 2020 – ABB opened a new robotics facility to support the digital transformation of manufacturing in India. The facility is expected to offer Indian customers the benefits of Industry 4.0, including robotics and digitalization technologies, to help India become a resilient high-tech manufacturing economy in the world.

Reasons to Purchase this report:

– The market estimate (ME) sheet in Excel format
– 3 months of analyst support

レポート目次

1 INTRODUCTION
1.1 Study Assumptions and Market Definition
1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET DYNAMICS
4.1 Market Overview
4.2 Industry Value Chain Analysis
4.3 Industry Attractiveness – Porter’s Five Forces Analysis
4.3.1 Threat of New Entrants
4.3.2 Bargaining Power of Buyers/Consumers
4.3.3 Bargaining Power of Suppliers
4.3.4 Threat of Substitute Products
4.3.5 Intensity of Competitive Rivalry
4.4 Market Drivers
4.4.1 Increasing Demand for Automation to Achieve Efficiency and Quality
4.4.2 Need for Compliance and Government Support for Digitization
4.4.3 Proliferation of Internet of Things
4.5 Market Restraints
4.5.1 Concerns Regarding Data Security
4.5.2 High Initial Installation Costs and Lack of Skilled Workforce Preventing Enterprises from Full-scale Adoption
4.6 Assessment of COVID-19 impact on the industry

5 MARKET SEGMENTATION
5.1 Technology
5.1.1 Programmable Logic Controller (PLC)
5.1.2 Supervisory Controller and Data Acquisition (SCADA)
5.1.3 Enterprise Resource and Planning (ERP)
5.1.4 Distributed Control System (DCS)
5.1.5 Human Machine Interface (HMI)
5.1.6 Product Lifecycle Management (PLM)
5.1.7 Other Technologies
5.2 Component
5.2.1 Machine Vision Systems
5.2.2 Control Device
5.2.3 Robotics
5.2.4 Communication Segment
5.2.5 Sensor
5.2.6 Other Components
5.3 End-user Industry
5.3.1 Automotive
5.3.2 Semiconductors
5.3.3 Oil and Gas
5.3.4 Chemical and Petrochemical
5.3.5 Pharmaceutical
5.3.6 Aerospace and Defense
5.3.7 Food and Beverage
5.3.8 Metals and Mining
5.3.9 Other End-user Industries
5.4 Geography
5.4.1 North America
5.4.1.1 United States
5.4.1.2 Canada
5.4.2 Europe
5.4.2.1 Germany
5.4.2.2 United Kingdom
5.4.2.3 France
5.4.2.4 Rest of Europe
5.4.3 Asia Pacific
5.4.3.1 China
5.4.3.2 India
5.4.3.3 Japan
5.4.3.4 Rest of Asia Pacific
5.4.4 Latin America
5.4.4.1 Brazil
5.4.4.2 Mexico
5.4.4.3 Rest of Latin America
5.4.5 Middle East & Africa

6 COMPETITIVE LANDSCAPE
6.1 Company Profiles
6.1.1 ABB Ltd
6.1.2 Emerson Electric Company
6.1.3 Fanuc Corporation
6.1.4 General Electric Company
6.1.5 Honeywell International Inc.
6.1.6 Mitsubishi Electric Corporation
6.1.7 Rockwell Automation Inc.
6.1.8 Schneider Electric SE
6.1.9 Siemens AG
6.1.10 Texas Instruments Incorporated
6.1.11 Yokogawa Electric Corporation
6.1.12 Robert Bosch GmbH

7 INVESTMENT ANALYSIS

8 FUTURE OF THE MARKET