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Global Human Machine Interface Market to reach USD 9.14 billion by the end of 2030.

Global Human Machine Interface Market Size Study & Forecast, by Product (Hardware, Software), by Configuration (Embedded HMI, Standalone HMI), by Industry (Process Industry, Discrete Industry), and Regional Analysis, 2023-2030

Product Code: ICTICTI-63472792
Publish Date: 4-10-2023
Page: 200

Global Human Machine Interface Market is valued at approximately USD 4.9 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 8.1% over the forecast period 2023-2030. Human Machine Interface (HMI) is the technology or system that enables communication and interaction between humans and machines. It acts as a link between the user and the device, allowing users to regulate and maintain various functions on a device or system. The HMI’s main objective is to offer a simple, user-friendly interface that allows people to communicate with complicated machinery or systems. Users enter instructions, get responses, and keep tabs on the computer or system’s performance. The growing focus on real-time data analysis and predictive maintenance, the rising shift toward Industry 4.0, and the increasing adoption of IoT, coupled with the strategic initiatives by governments to promote the adoption of operational technologies are the key factors that are fueling the market demand across the world.

In addition, the surging adoption of industrial automation is playing a vital role in bolstering market growth at a considerable rate. The rising trend of industrial automation across various sectors, including manufacturing, energy, and automotive, is driving the demand for advanced HMIs. HMIs play a crucial role in controlling and monitoring automated processes, improving operational efficiency, and reducing human errors. According to Statista, the industrial automation market was valued at USD 175 billion globally in 2020 and is expected to increase to USD 265 billion by 2025. Consequentially, these aforementioned factors are directly associated with the demand for the human machine interface to interact with complex machines or systems in a simplified manner, which, in turn, accelerates the market growth. Moreover, the rising adoption of emerging technologies such as IoT and cloud computing in industrial environments as well as increasing demand for safety compliance automation solutions, present various lucrative opportunities over the forecast years. However, the lack of standardization in industrial communication protocols and interfaces and the increasing security risks associated with cloud-HMI platforms are challenging the market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Human Machine Interface Market study include Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 owing to the rising trend of industrial automation across various sectors, including manufacturing, energy, and automotive, which is driving the demand for advanced HMIs. Additionally, growing emphasis on intuitive and user-friendly interfaces, coupled with technological advancements such as artificial intelligence, Internet of Things (IoT), virtual reality, and augmented reality are further enhancing the capabilities of HMIs. Whereas, Asia Pacific is expected to grow at the highest CAGR over the forecast years. The growing focus on safety and ergonomics, surging demand for automotive HMIs, and increasing industrial automation are significantly impelling the market demand across the region.

Major market players included in this report are:
Rockwell Automation Inc. (US)
ABB (Switzerland)
Siemens AG (Germany)
Schneider Electric SE (France)
Honeywell International Inc. (US)
Advantech Co., Ltd. (Taiwan)
Emerson Electric Co. (US)
General Electric Co. (US)
Mitsubishi Electric Corporation (Japan)
Yokogawa Electric Corporation (Japan)

Recent Developments in the Market:
Ø In May 2021, Mitsubishi Electric announced the introduction of two new Graphic Operation Terminals (GOTs). These GOTs are the newest additions to the company’s GOT2000 Series Wide Model lineup and are designed to help customers who require a wider screen to view more data about factory, process, utility, and other automation applications.
Ø In October 2020, The Progea Group, a top supplier of HMI, SCADA, and PLC systems, was acquired by Emerson Electric Co. The objective of this acquisition is to provide additional resources and expertise, as well as the potential to offer clients of Emerson complete hardware and software solutions.

Global Human Machine Interface Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Product, Configuration, Industry, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü Customization Scope – Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Product:
Hardware
Software

By Configuration:
Embedded HMI
Standalone HMI

By Industry:
Process Industry
Discrete Industry

By Region:

North America
U.S.
Canada

Europe
UK
Germany
France
Spain
Italy
ROE

Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC

Latin America
Brazil
Mexico

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
1.2.1. Human Machine Interface Market, by Region, 2020-2030 (USD Billion)
1.2.2. Human Machine Interface Market, by Product, 2020-2030 (USD Billion)
1.2.3. Human Machine Interface Market, by Configuration, 2020-2030 (USD Billion)
1.2.4. Human Machine Interface Market, by Industry, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Human Machine Interface Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Human Machine Interface Market Dynamics
3.1. Human Machine Interface Market Impact Analysis (2020-2030)
3.1.1. Market Drivers
3.1.1.1. Increasing focus on real-time data analysis and predictive maintenance
3.1.1.2. Surging adoption of industrial automation
3.1.2. Market Challenges
3.1.2.1. Lack of standardization in industrial communication protocols and interfaces
3.1.2.2. Increasing security risks associated with cloud-HMI platform
3.1.3. Market Opportunities
3.1.3.1. Increasing demand for safety compliance automation solutions
3.1.3.2. Growing adoption of emerging technologies such as IoT and cloud computing in industrial environments
Chapter 4. Global Human Machine Interface Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Human Machine Interface Market, by Product
5.1. Market Snapshot
5.2. Global Human Machine Interface Market by Product, Performance – Potential Analysis
5.3. Global Human Machine Interface Market Estimates & Forecasts by Product 2020-2030 (USD Billion)
5.4. Human Machine Interface Market, Sub Segment Analysis
5.4.1. Hardware
5.4.2. Software
Chapter 6. Global Human Machine Interface Market, by Configuration
6.1. Market Snapshot
6.2. Global Human Machine Interface Market by Configuration, Performance – Potential Analysis
6.3. Global Human Machine Interface Market Estimates & Forecasts by Configuration 2020-2030 (USD Billion)
6.4. Human Machine Interface Market, Sub Segment Analysis
6.4.1. Embedded HMI
6.4.2. Standalone HMI
Chapter 7. Global Human Machine Interface Market, by Industry
7.1. Market Snapshot
7.2. Global Human Machine Interface Market by Industry, Performance – Potential Analysis
7.3. Global Human Machine Interface Market Estimates & Forecasts by Industry 2020-2030 (USD Billion)
7.4. Human Machine Interface Market, Sub Segment Analysis
7.4.1. Process Industry
7.4.2. Discrete Industry
Chapter 8. Global Human Machine Interface Market, Regional Analysis
8.1. Top Leading Countries
8.2. Top Emerging Countries
8.3. Human Machine Interface Market, Regional Market Snapshot
8.4. North America Human Machine Interface Market
8.4.1. U.S. Human Machine Interface Market
8.4.1.1. Product breakdown estimates & forecasts, 2020-2030
8.4.1.2. Configuration breakdown estimates & forecasts, 2020-2030
8.4.1.3. Industry breakdown estimates & forecasts, 2020-2030
8.4.2. Canada Human Machine Interface Market
8.5. Europe Human Machine Interface Market Snapshot
8.5.1. U.K. Human Machine Interface Market
8.5.2. Germany Human Machine Interface Market
8.5.3. France Human Machine Interface Market
8.5.4. Spain Human Machine Interface Market
8.5.5. Italy Human Machine Interface Market
8.5.6. Rest of Europe Human Machine Interface Market
8.6. Asia-Pacific Human Machine Interface Market Snapshot
8.6.1. China Human Machine Interface Market
8.6.2. India Human Machine Interface Market
8.6.3. Japan Human Machine Interface Market
8.6.4. Australia Human Machine Interface Market
8.6.5. South Korea Human Machine Interface Market
8.6.6. Rest of Asia Pacific Human Machine Interface Market
8.7. Latin America Human Machine Interface Market Snapshot
8.7.1. Brazil Human Machine Interface Market
8.7.2. Mexico Human Machine Interface Market
8.8. Middle East & Africa Human Machine Interface Market
8.8.1. Saudi Arabia Human Machine Interface Market
8.8.2. South Africa Human Machine Interface Market
8.8.3. Rest of Middle East & Africa Human Machine Interface Market

Chapter 9. Competitive Intelligence
9.1. Key Company SWOT Analysis
9.1.1. Company 1
9.1.2. Company 2
9.1.3. Company 3
9.2. Top Market Strategies
9.3. Company Profiles
9.3.1. Rockwell Automation Inc. (US)
9.3.1.1. Key Information
9.3.1.2. Overview
9.3.1.3. Financial (Subject to Data Availability)
9.3.1.4. Product Summary
9.3.1.5. Recent Developments
9.3.2. ABB (Switzerland)
9.3.3. Siemens AG (Germany)
9.3.4. Schneider Electric SE (France)
9.3.5. Honeywell International Inc. (US)
9.3.6. Advantech Co., Ltd. (Taiwan)
9.3.7. Emerson Electric Co. (US)
9.3.8. General Electric Co. (US)
9.3.9. Mitsubishi Electric Corporation (Japan)
9.3.10. Yokogawa Electric Corporation (Japan)
Chapter 10. Research Process
10.1. Research Process
10.1.1. Data Mining
10.1.2. Analysis
10.1.3. Market Estimation
10.1.4. Validation
10.1.5. Publishing
10.2. Research Attributes
10.3. Research Assumption

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Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
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Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

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