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Global Machine Sensor Market to reach USD 31.0 billion by the end of 2030.

Global Machine Sensor Market Size study & Forecast, by Type (Temperature Sensor, Pressure Sensor, Position Sensor, Proximity Sensor, Force and Torque Sensor, Others), by End User Industry (Manufacturing, Oil and Gas, Automotive, Aerospace, Healthcare, Others), and Regional Analysis, 2023-2030

Product Code: OIRIA-70320856
Publish Date: 13-07-2023
Page: 200

Global Machine Sensor Market is valued at approximately USD 16.5 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 8.2% over the forecast period 2023-2030. The machine sensor market refers to the industry segment that encompasses the production, distribution, and utilization of sensors specifically designed for machines and automated systems. These sensors are utilized to monitor and detect various physical parameters such as temperature, pressure, motion, proximity, and other relevant factors, providing essential data for controlling and optimizing the performance of machines and processes. The machine sensor market is being driven by factors such as rising investment in industrial automation and proliferation of IoT devices

The automation system can then analyze the sensor data, identify patterns or anomalies, and trigger appropriate actions such as adjusting machine settings or initiating maintenance tasks. By utilizing machine sensors industries and automation manufacturing can boost their output. The Global private investment in industrial automation is rising. For instance, on June 2023, Siemens Announces USD 219.74 Million Industrial Automation Investment in Singapore. Similarly, on March 2023, Schneider Electric investing USD 43.95 million in new smart factory in Hungary. Thus, rising investment in industrial automation is fueling the growth of the market for machine sensors. In addition, the development of smart sensors and the growing focus on sustainability create lucrative opportunities for the market. However, the high cost of machine sensors hinders the growth of the market over the forecasted period 2023-2030.

The key regions considered for the Global Machine Sensor Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 owing to the presence of several established machine sensor solution providers in region. These companies have invested heavily in R&D and have developed advanced machine sensor systems that cater to the specific needs of various industries. Asia Pacific is considered the fastest growing region during the forecasted period due to emerging economies and the increasing disposable income which develop the demand for consumer electronics and smart devices which are heavily relay on machine sensors.

Major market player included in this report are:
Baumer Holding AG
KYOCERA AVX Components (Werne) GmbH
TE Connectivity Ltd.
Tekscan, Inc.
Sensata Technologies, Inc.
ATI Industrial Automation Inc.
OMRON Corporation
FUTEK Advanced Sensor Technology, Inc.
Honeywell International Inc.
Infineon Technologies AG
Recent Developments in the Market:
Ø In May 2023, OMRON recently unveiled an exciting strategic partnership with LAMBDA Automation. This collaboration aims to leverage OMRON’s cutting-edge products and technology to drive the development of innovative industrial automation solutions. By working closely with OMRON as a Strategic Partner, LAMBDA Automation is expected to meet specific demands of End Users in key markets such as Food and Commodities, Pharma, Automotive, and Warehousing and Logistics. This partnership aims to promote rapid innovation and enable OMRON’s advanced automation solutions to effectively meet the distinctive challenges and specific requirements of these industries.

Ø Global Machine Sensor 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 – Type, End User 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 Type:
Temperature Sensor
Pressure Sensor
Position Sensor
Proximity Sensor
Force and Torque Sensor
Others

By End User Industry:
Manufacturing
Oil and Gas
Automotive
Aerospace
Healthcare
Others

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. Machine Sensor Market , by Region, 2020-2030 (USD Billion)
1.2.2. Machine Sensor Market , by Type, 2020-2030 (USD Billion)
1.2.3. Machine Sensor Market , by End User Industry, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Machine Sensor 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 Machine Sensor Market Dynamics
3.1. Machine Sensor Market Impact Analysis (2020-2030)
3.1.1. Market Drivers
3.1.1.1. Rising investment in industrial automation
3.1.1.2. Growing proliferation of IoT devices.
3.1.2. Market Challenges
3.1.2.1. High cost of machine sensors
3.1.3. Market Opportunities
3.1.3.1. Development of smart sensor technology
3.1.3.2. Growing focus on sustainability
Chapter 4. Global Machine Sensor 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 Machine Sensor Market, by Type
5.1. Market Snapshot
5.2. Global Machine Sensor Market by Type, Performance – Potential Analysis
5.3. Global Machine Sensor Market Estimates & Forecasts by Type 2020-2030 (USD Billion)
5.4. Machine Sensor Market , Sub Segment Analysis
5.4.1. Temperature Sensor
5.4.2. Pressure Sensor
5.4.3. Position Sensor
5.4.4. Proximity Sensor
5.4.5. Force and Torque Sensor
5.4.6. Others
Chapter 6. Global Machine Sensor Market, by End User Industry
6.1. Market Snapshot
6.2. Global Machine Sensor Market by End User Industry, Performance – Potential Analysis
6.3. Global Machine Sensor Market Estimates & Forecasts by End User Industry 2020-2030 (USD Billion)
6.4. Machine Sensor Market , Sub Segment Analysis
6.4.1. Manufacturing
6.4.2. Oil and Gas
6.4.3. Automotive
6.4.4. Aerospace
6.4.5. Healthcare
6.4.6. Others
Chapter 7. Global Machine Sensor Market, Regional Analysis
7.1. Top Leading Countries
7.2. Top Emerging Countries
7.3. Machine Sensor Market , Regional Market Snapshot
7.4. North America Machine Sensor Market
7.4.1. U.S. Machine Sensor Market
7.4.1.1. Type breakdown estimates & forecasts, 2020-2030
7.4.1.2. End User Industry breakdown estimates & forecasts, 2020-2030
7.4.2. Canada Machine Sensor Market
7.5. Europe Machine Sensor Market Snapshot
7.5.1. U.K. Machine Sensor Market
7.5.2. Germany Machine Sensor Market
7.5.3. France Machine Sensor Market
7.5.4. Spain Machine Sensor Market
7.5.5. Italy Machine Sensor Market
7.5.6. Rest of Europe Machine Sensor Market
7.6. Asia-Pacific Machine Sensor Market Snapshot
7.6.1. China Machine Sensor Market
7.6.2. India Machine Sensor Market
7.6.3. Japan Machine Sensor Market
7.6.4. Australia Machine Sensor Market
7.6.5. South Korea Machine Sensor Market
7.6.6. Rest of Asia Pacific Machine Sensor Market
7.7. Latin America Machine Sensor Market Snapshot
7.7.1. Brazil Machine Sensor Market
7.7.2. Mexico Machine Sensor Market
7.8. Middle East & Africa Machine Sensor Market
7.8.1. Saudi Arabia Machine Sensor Market
7.8.2. South Africa Machine Sensor Market
7.8.3. Rest of Middle East & Africa Machine Sensor Market

Chapter 8. Competitive Intelligence
8.1. Key Company SWOT Analysis
8.1.1. Company 1
8.1.2. Company 2
8.1.3. Company 3
8.2. Top Market Strategies
8.3. Company Profiles
8.3.1. Baumer Holding AG
8.3.1.1. Key Information
8.3.1.2. Overview
8.3.1.3. Financial (Subject to Data Availability)
8.3.1.4. Product Summary
8.3.1.5. Recent Developments
8.3.2. KYOCERA AVX Components (Werne) GmbH
8.3.3. TE Connectivity Ltd.
8.3.4. Tekscan, Inc.
8.3.5. Sensata Technologies, Inc.
8.3.6. ATI Industrial Automation Inc.
8.3.7. OMRON Corporation
8.3.8. FUTEK Advanced Sensor Technology, Inc.
8.3.9. Honeywell International Inc.
8.3.10. Infineon Technologies AG
Chapter 9. Research Process
9.1. Research Process
9.1.1. Data Mining
9.1.2. Analysis
9.1.3. Market Estimation
9.1.4. Validation
9.1.5. Publishing
9.2. Research Attributes
9.3. Research Assumption

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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.
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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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