#Machine Condition Monitoring Market

[global-research-report]

Maximize Operational Uptime with Precision Machine Condition Monitoring

Machine Condition Monitoring Industry Overview

The global machine condition monitoring market size is expected to reach USD 5.46 billion by 2030, according to a new report by Grand View Research, Inc. The industry is anticipated to grow at a lucrative CAGR of 7.6% from 2025 to 2030. Exponential demand for monitoring services to avoid machinery failure will propel the penetration of condition-monitoring systems. End-users have exhibited an unprecedented demand for predictive maintenance tools to bolster asset life, minimize machine failure and reduce maintenance costs. Stakeholders envisage revenue-boosting potentials in maintaining machine health and reducing downtime with advanced software and tools. The emergence of the Industrial Internet of Things (IIoT) has propelled the measurements, such as pressure, vibration, and temperature.

Machine condition monitoring helps measure equipment, enhance production efficiency, and reduce unplanned downtime. Industrial IoT has provided promising growth potential following the growing footfall of smart sensors across North America, Europe, and the Asia Pacific. Leading companies are poised to prioritize vibration, torque, and temperature monitoring to foster monitoring processes. For instance, vibration diagnosis has gained ground to boost the detection of possible faults, mainly due to the adoption of IoT technology and advanced algorithms.

Gather more insights about the market drivers, restrains and growth of the Machine Condition Monitoring Market

Thermography techniques have gained ground for condition monitoring to highlight aspects of energy loss and minimize carbon emissions and operating costs. The technology has become sought-after to assess and identify thermal issues stemming from improper lubrication, worn or obsolete components, and misalignments. Lately, infrared thermography has garnered popularity in detecting thermal anomalies to provide thermal images of a machine component. Moreover, technology has gained ground in power transformers across industrial facilities, power plants, and substations.

Growth avenues could be pronounced in Asia as the automotive, oil & gas, power generation, and aerospace industries witness technological advancements and innovation. The need to optimize maintenance resources, prevent breakdowns and monitor power generation plants has augured growth for machine condition monitoring manufacturers and suppliers. Industry participants have expedited investments in temperature and vibration data and wireless communication. Besides, the need to prevent downtime and asset failures has furthered the demand for intelligent sensors and predictive maintenance across China, India, Japan, and Australia.

The competitive landscape emphasizes bullish growth strategies, including product offerings, technological advancements, mergers & acquisitions, collaboration, and geographical expansion. Forward-looking companies are poised to reinforce their strategic approaches to bolster predictive maintenance. For instance, in May 2021, Emerson announced the introduction of the PACEdge industrial edge platform to boost open connectivity and scalability. Besides, in June 2020, National Instruments announced the acquisition of OptimalPlus to strengthen enterprise software capabilities and offer business-critical insights. Industry players could expand their penetration in software and connectivity to foster productivity.

Browse through Grand View Research's Next Generation Technologies Industry Research Reports.

The global rope access services market size was valued at USD 3.24 billion in 2024 and is projected to grow at a CAGR of 8.4% from 2025 to 2030.

The global virtual influencer market size was estimated at USD 6.06 billion in 2024 and is projected to grow at a CAGR of 40.8% from 2025 to 2030.

Machine Condition Monitoring Market Segmentation

Grand View Research has segmented the global machine condition monitoring market report based on monitoring technique, component, product type, application, architecture type, plant type, monitoring process, end use, and region:

Machine Condition Monitoring Technique Outlook (Revenue, USD Billion, 2017 - 2030)

Torque Monitoring

Vibration Monitoring

Oil Analysis

Thermography

Corrosion Monitoring

Others

Machine Condition Monitoring Component Outlook (Revenue, USD Billion, 2017 - 2030)

Hardware

Portable/Handheld Condition Monitoring Units

Software

Services

Machine Condition Monitoring Product Type Outlook (Revenue, USD Billion, 2017 - 2030)

Valves

Compressors

Turbines

Gearbox

Motors

Bearings

Couplings

Others

Machine Condition Monitoring Application Outlook (Revenue, USD Billion, 2017 - 2030)

HVAC Systems

Turbines & Generators

Material Handling

Conveyors

Pump Systems

Sprockets

Bushings & Hubs

Control Cabinet Monitoring

Paper Presses

Storage Rooms

Motor Control

Lubricant Level Monitoring on CNC Machines

Others

Machine Condition Monitoring Architecture Type Outlook (Revenue, USD Billion, 2017 - 2030)

Public Cloud

Edge Platform

Hybrid Cloud

On-premises

Machine Condition Monitoring Plant Type Outlook (Revenue, USD Billion, 2017 - 2030)

Greenfield Plant

Brownfield Plant

Machine Condition Monitoring Process Outlook (Revenue, USD Billion, 2017 - 2030)

Online Condition Monitoring

Portable Condition Monitoring

Machine Condition Monitoring End Use Outlook (Revenue, USD Billion, 2017 - 2030)

Mining

Primary Metals

Power Generation

Automotive

Oil & Gas

Aerospace

Food & Beverages

Chemicals

Marine

Pharmaceutical

Pulp & Paper

Others

Machine Condition Monitoring Regional Outlook (Revenue, USD Billion, 2017 - 2030)

North America

US

Canada

Mexico

Europe

UK

Germany

France

Asia Pacific

China

India

Japan

Australia

South Korea

Latin America

Brazil

MEA

UAE

South Africa

KSA

Key Companies profiled:

ALS

Emerson Electric Co.

General Electric

Honeywell International Inc.

Megget PLC

NATIONAL INSTRUMENTS CORP

Parker Hannifin

Rockwell Automation, Inc.

SKF

Schaeffler AG

Key Machine Condition Monitoring Company Insights

Some key players in the machine condition monitoring market, such as Emerson Electric Co., General Electric, Honeywell International Inc., and SKF, are actively working to expand their customer base and gain a competitive advantage. To achieve this, they are pursuing various strategic initiatives, including partnerships, mergers and acquisitions, collaborations, and the development of new products and technologies. This proactive approach allows them to enhance their market presence and innovate in response to evolving security needs.

Emerson Electric Co. is a global technology and engineering company specializing in automation solutions and industrial equipment. Within the machine condition monitoring sector, Emerson Electric Co. offers a comprehensive suite of products and services designed to optimize asset performance and enhance operational efficiency. Their monitoring solutions leverage advanced technologies, including IoT and AI, to provide real-time insights into equipment health, enabling predictive maintenance strategies. Emerson Electric Co 's portfolio includes wireless sensors, diagnostic tools, and software platforms that facilitate seamless data integration and analysis.

General Electric is known for its diverse portfolio across various sectors, including aviation, healthcare, and renewable energy. In the machine condition monitoring space, General Electric provides advanced solutions that leverage predictive analytics and IoT technology to enhance asset reliability and performance. Their digital offerings, such as the GE Digital Twin technology, enable real-time monitoring and analysis of equipment health, facilitating proactive maintenance strategies.

Recent Developments

In July 2024, I-care, a predictive maintenance and industrial performance solution, acquired assets and licenses of Germany-based Sensirion AG's predictive maintenance product line. This deal boosts I-care's presence in Germany and strengthens its global leadership in industrial predictive maintenance while ensuring continuity for Sensirion AG's former customers.

In June 2024, SPM Instrument AB., a Sweden-based company, acquired Status Pro Maschinenmesstechnik GmbH a Germany based, a condition monitoring expert. The acquisition will support SPM Instrument AB's innovation and growth in the sector, allowing the company to strengthen its presence in Germany and enhance customer service capabilities.

In March 2024, KCF Technologies launched Piezo Sensing as part of its SMARTsensing suite, enhancing machine health monitoring with high-resolution data and advanced fault detection. This technology enables early detection of issues, reducing downtime maintenance costs and improving operational efficiency and safety across various industrial applications.

Order a free sample PDF of the Machine Condition Monitoring Market Intelligence Study, published by Grand View Research.

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Machine Condition Monitoring Market Key Companies, Trends, Growth and Forecast Report, 2030

The global machine condition monitoring market size is expected to reach USD 5.46 billion by 2030, according to a new report by Grand View Research, Inc. The industry is anticipated to grow at a lucrative CAGR of 7.9% from 2023 to 2030. Exponential demand for monitoring services to avoid machinery failure will propel the penetration of condition-monitoring systems. End-users have exhibited an unprecedented demand for predictive maintenance tools to bolster asset life, minimize machine failure and reduce maintenance costs. Stakeholders envisage revenue-boosting potentials in maintaining machine health and reducing downtime with advanced software and tools. The emergence of the Industrial Internet of Things (IIoT) has propelled the measurements, such as pressure, vibration, and temperature.

Machine condition monitoring helps measure equipment, enhance production efficiency, and reduce unplanned downtime. Industrial IoT has provided promising growth potential following the growing footfall of smart sensors across North America, Europe, and the Asia Pacific. Leading companies are poised to prioritize vibration, torque, and temperature monitoring to foster monitoring processes. For instance, vibration diagnosis has gained ground to boost the detection of possible faults, mainly due to the adoption of IoT technology and advanced algorithms.

Gather more insights about the market drivers, restrains and growth of the Machine Condition Monitoring Market

Detailed Segmentation:

Market Dynamics

The widespread adoption of wireless technology in machine condition monitoring is revolutionizing industries by providing an affordable and easily implementable solution. Wireless sensors enable real-time monitoring, offering operators a comprehensive overview of machine health. This proactive approach allows for early problem identification and resolution, preventing costly downtime. The cost-effectiveness of wireless solutions, attributed to their avoidance of complex wiring infrastructure, significantly benefits small and medium-sized businesses, making this technology an accessible option. 

Monitoring Technique Insights

The vibration monitoring segment led market in 2022, accounting for over 26% share of global revenue. The high share can be attributed to soaring demand to detect wear, imbalances, and misalignments. Rising penetration of monitoring vibration has played a pivotal role in offering insights into detecting faults at an early stage. Vibration monitoring solutions have witnessed an uptick in minimizing maintenance, integration, and operational complexities. Industry players have increased investments in continuously monitoring equipment, including cooling tower gearboxes, boiler feed pumps, steam turbines, and gas. End-users will likely embed vibration monitoring into their system to foster reliability and protect data. Technology will remain highly sought-after for diagnosing emerging issues and robust troubleshooting.

Component Insights

The hardware segment led the market in 2022, accounting for over 55% share of the global revenue. The high share can be attributed to increasing use of infrared sensors, ultrasonic detectors, vibration analyzers, and accelerometers. Technologies used in condition monitoring have specialized knowledge of areas where various types of failure can occur. Hardware or sensor manufacturers offer their products in two varieties, static and dynamic, depending on the different frequencies hardware or sensors have. Additionally, this allows manufacturers to minimize machine downtime and implement successful predictive maintenance.

Product Type Insights

The motors segment led the market in 2022, accounting for over 17% of global revenue. Growth is attributed to rising demand for motors in key industries like oil and gas, automotive, and manufacturing. Ensuring motors are in their optimal condition is essential to prevent failures, boost operational efficiency, and minimize downtime, thereby driving the growth of motors segment in machine condition monitoring. As demand for motors in various industries continues to increase, motors segment is anticipated to maintain its growth trajectory in foreseeable future.

Application Insights

The turbines & generators segment led the market in 2022, accounting for over 16% of global revenue. Escalating demand for preventive maintenance in the power generation industry drives the segment's growth. These components are crucial for power plants, and early identification of potential issues through machine condition monitoring helps prevent costly outages. Segment's growth is further fueled by increasing use of renewable energy sources, necessitating advanced monitoring solutions and the adoption of predictive maintenance strategies to optimize costs and uptime. Moreover, development of new technologies, such as vibration analysis and infrared thermography, provides more accurate and detailed data on condition of turbines and generators, boosting the segment's prominence.

Architecture Type Insights

The on-premises segment led the market in 2022, accounting for over 34% of global revenue. On-premises is often managed or self-hosted and ensures organizations meet specific market requirements, enabling teams to optimize their workload and create highly customizable environments. To ensure machines are operating efficiently, engineers need the ability to keep track and monitor status and enable teams to pinpoint long running or inefficient machines easily. Furthermore, the cost-effectiveness of on-premises solutions significantly contributed to their widespread adoption. With businesses keen on budget optimization, the affordability of these solutions rendered them highly attractive, offering access to robust monitoring capabilities without straining financial resources.

Plant Type Insights

Brownfield plant segment held the largest revenue share of over 70% in 2022. This is because brownfield plants are older, nearing the end of their lifespan, and face a higher risk of failures and downtime, creating a pressing need for condition monitoring. Factors such as increased safety focus in the industrial sector, regulatory compliance requirements, and higher probability of equipment problems in older setups contribute to a larger market share for machine condition monitoring in brownfield plants. Proactive monitoring in these environments is crucial for businesses to ensure operational efficiency, minimize risks, and avoid costly disruptions.

Monitoring Process Insights

The online condition monitoring segment held the largest revenue share of over 51% in 2022. Growth is attributed to soaring demand for data monitoring and management to reduce downtime and defects and bolster machine life. Leading manufacturers are poised to prioritize advanced monitoring systems to expand penetration across untapped regions. The need for real-time metrics and alert notifications has triggered demand for online monitoring systems to boost machines' health information. For instance, in July 2022, Valmet, supplier and developer of automation systems, stated that online condition monitoring systems are typically used in industries like oil & gas, power generation, and metals & mining. Demand for online condition monitoring is high as portable monitoring procedures are challenging to use in production plants located in remote areas.

End-use Industry Insights

The power generation segment dominated the market in 2022 and accounted for a revenue share of over 15%. Growth is attributed to high failure rates for some components, such as increased repair costs, entire system overhauls, and unsafe work environments in the power and generation industry. As this industry is product-intensive, it requires continuous machinery maintenance. Further, the oil and gas segment will acquire significant market share due to bullish demand for oil analysis, thermography, and vibration monitoring. The industry has witnessed unprecedented demand for condition monitoring to keep up with demand for sensor applications to boost efficiency and productivity.

Regional Insights

North America dominated the market in 2022, accounting for over 36% share of global revenue. U.S. and Canada are slated to provide promising growth opportunities against bullish demand from power generation, aerospace, oil & gas, marine, and food & beverages industries. The trend for vibration monitoring has become pronounced for oil condition monitoring in oil and gas platform machinery lubricants. With a surge in offshore oil exploration across North America, forward-looking companies could strengthen their position in the regional market. Oil condition monitoring is poised to receive an uptick in predictive maintenance and reliability.

Browse through Grand View Research's Next Generation Technologies Industry Research Reports.

• The global neural processor market size was estimated at USD 237.6 million in 2023 and is projected to grow at a CAGR of 19.3% from 2024 to 2030.

• The global service virtualization market size was valued at USD 786.0 Million in 2023 and is projected to grow at a compound annual growth rate (CAGR) of 17.4% from 2024 to 2030. 

Key Companies & Market Share Insights

Incumbent players and startups are poised to emphasize organic and inorganic strategies, including mergers & acquisitions, product offerings, technological advancements, innovations, and geographical expansion. Trend for predictive maintenance and growing footfall of IoT will serve as catalysts to expand their footprint across untapped areas. For instance, in February 2023, Seed Group partnered with Samotics, a provider of asset health monitoring, to introduce condition monitoring services to the Middle East. With Samotics' SAM4 technology utilizing electrical signature analysis (ESA) to monitor critical assets, the partnership aims to cater to a growing demand for advanced condition monitoring solutions in the region's thriving industrial sector. 

Some of the prominent players in the global machine condition monitoring market include:

• ALS

• Emerson Electric Co.

• General Electric

• Honeywell International Inc.

• Megget PLC

• NATIONAL INSTRUMENTS CORP

• Parker Hannifin

• Rockwell Automation, Inc.

• SKF

• Schaeffler AG

Machine Condition Monitoring Market Segmentation

Grand View Research has segmented the global machine condition monitoring market based on monitoring technique, component, product type, application, architecture type, plant type, monitoring process, end-use industry, and region:

Machine Condition Monitoring Technique Outlook (Revenue, USD Billion, 2017 - 2030)

• Torque Monitoring

• Vibration Monitoring

• Oil Analysis

• Thermography

• Corrosion Monitoring

• Others

Machine Condition Monitoring Component Outlook (Revenue, USD Billion, 2017 - 2030)

• Hardware

• Portable/Handheld Condition Monitoring Units

• Software

• Services

Machine Condition Monitoring Product Type Outlook (Revenue, USD Billion, 2017 - 2030)

• Valves

• Compressors

• Turbines

• Gearbox

• Motors

• Bearings

• Couplings

• Others

Machine Condition Monitoring Application Outlook (Revenue, USD Billion, 2017 - 2030)

• HVAC Systems

• Turbines & Generators

• Material Handling

• Conveyors

• Pump Systems

• Sprockets

• Bushings & Hubs

• Control Cabinet Monitoring

• Paper Presses

• Storage Rooms

• Motor Control

• Lubricant Level Monitoring on CNC Machines

• Others

Machine Condition Monitoring Architecture Type Outlook (Revenue, USD Billion, 2017 - 2030)

• Public Cloud

• Edge Platform

• Hybrid Cloud

• On-premises

Machine Condition Monitoring Plant Type Outlook (Revenue, USD Billion, 2017 - 2030)

• Greenfield Plant

• Brownfield Plant

Machine Condition Monitoring Process Outlook (Revenue, USD Billion, 2017 - 2030)

• Online Condition Monitoring

• Portable Condition Monitoring

Machine Condition Monitoring End-use Industry Outlook (Revenue, USD Billion, 2017 - 2030)

• Mining

• Primary Metals

• Power Generation

• Automotive

• Oil & Gas

• Aerospace

• Food & Beverages

• Chemicals

• Marine

• Pharmaceutical

• Pulp & Paper

• Others

Machine Condition Monitoring Regional Outlook (Revenue, USD Billion, 2017 - 2030)

• North America

o U.S.

o Canada

o Mexico

• Europe

o U.K.

o Germany

o France

• Asia Pacific

o China

o Japan

o India

• Central & South America

o Brazil

• MEA

Order a free sample PDF of the Machine Condition Monitoring Market Intelligence Study, published by Grand View Research.

[semiconductorandelectronics]

Machine Condition Monitoring Market Size, Share, Statistics and Industry Growth Analysis Report by Technique (Vibration Monitoring, Thermography, Oil Analysis, Ultrasound Emission), Offering (Vibration Sensors, Infrared Sensors, Spectrometers, Corrosion Probes, Spectrum Analyzers)

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The Machine Condition Monitoring Market is expected to reach USD 1.14 billion in 2023 and grow at a CAGR of 9.65% to reach USD 1.80 billion by 2028. Rockwell Automation, Inc., Meggitt PLC, GE Bently Nevada, Emerson Electric Co., SKF Group are the major companies

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Machine Condition Monitoring Market Size Worth USD 5.97 Billion in 2032

The global machine condition monitoring market size was USD 2.82 Billion in 2022 and is expected to register a revenue CAGR of 7.9% during the forecast period, according to the latest analysis by Emergen Research. Rising demand for machine monitoring sensors by various end-use industries is a major factor expected to support revenue growth of the market. The equipment or assets in manufacturing facilities can be tracked with the aid of machine monitoring sensors. These sensors also assist in foreseeing mechanical damage and operation failure brought on by machine breakdown, both of which have a direct impact on productivity and reduce cost savings. Vibration, noise, temperature, pollution, and other factors can be detected using these sensors that are used in machine condition monitoring. These sensors assist in providing real-time machine monitoring, thereby averting unanticipated breakdowns that could necessitate expensive machine repairs.

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North America Machine Condition Monitoring Market Key Players, Share, Size, Trends, Aftermarket, Growth, Opportunities, and Regional Forecast (2019-2027)

The North America machine condition monitoring market is expected to reach US$ 1380.9Mn by 2027 from US$ 1004.3 Mn in 2019; the market is anticipated to grow at a CAGR of 4.1 % from 2019 to2027.

Market Introduction

The smooth operation of contemporary machinery depends on a host of smaller parts and components, each with a finite lifespan and susceptibility to damage and functional failure. Moving elements within motors, fans, engines, and various bearing types are common sources of operational disruption, their continuous movement being crucial for the machines to perform their intended tasks. However, this persistent motion, coupled with the ingress of external contaminants such as dirt or moisture, can cause these machines to lose efficiency, sometimes leading to a complete cessation of operation. Machine condition monitoring products offer a vital service by continuously observing the operational health of these components and predicting potential future failures. This preventative capability drives significant market demand for these products, as their adoption allows operators to avoid costly interruptions in production due to machinery malfunction.

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North America Machine Condition Monitoring Strategic Insights

Strategic insights into the North America Machine Condition Monitoring market offer a data-driven examination of the industry's environment, including prevailing trends, major players, and specific regional characteristics. These insights deliver practical recommendations, enabling readers to differentiate themselves from competitors by identifying unexploited market segments or formulating unique value offerings. Through the application of data analytics, these insights assist industry participants, including investors and manufacturers, in anticipating market evolutions. A forward-looking viewpoint is crucial, helping stakeholders predict market changes and strategically position themselves for sustained success within this evolving region. In essence, impactful strategic insights empower readers to make informed decisions that enhance profitability and realize their business goals within the market.

NORTH AMERICA MACHINE CONDITION MONITORING MARKET SEGMENTATION

North America Machine Condition Monitoring Market: By Monitoring Technique

Vibration Monitoring

Thermography

Oil Analysis

Corrosion Monitoring

Ultrasound Emission

Motor Current Analysis

 North America Machine Condition Monitoring Market: By Offerings

Hardware

Vibration Sensor

Proximity Probes

Tachometer

Infrared Sensors

Spectrometer

Ultrasound Detectors

Corrosion Probe

Others

Software

North America Machine Condition Monitoring Market: By Deployment Type

On-Premises

Cloud

North America Machine Condition Monitoring Market: By Monitoring Process

Online Condition Monitoring

Portable Condition Monitoring

North America Machine Condition Monitoring Market: By Industry

Oil & Gas

Power Generation

Automotive

Aerospace & Defense

Food & Beverages

Manufacturing

Others

 North America Machine Condition Monitoring Market: By Country

US

Canada

Mexico

 North America Machine Condition Monitoring Market: Company Profiles

Emerson Electric

General Electric.

SKF

National Instruments

Honeywell International Inc.

Als Ltd.

Meggitt

Parker Hannifin

Rockwell Automation

Schaeffler

About Us:

Business Market Insights is a market research platform that provides subscription service for industry and company reports. Our research team has extensive professional expertise in domains such as Electronics & Semiconductor; Aerospace & Defense; Automotive & Transportation; Energy & Power; Healthcare; Manufacturing & Construction; Food & Beverages; Chemicals & Materials; and Technology, Media, & Telecommunications

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Machine Condition Monitoring Market 2030 Key Growth Drivers, Challenges & Leading Key Players Review

The global machine condition monitoring market was valued at approximately USD 3.49 billion in 2024 and is expected to experience steady growth with a compound annual growth rate (CAGR) of 7.6% from 2025 to 2030. The growth is largely driven by the rising need for advanced diagnostics to assess and monitor machine health, which helps to prevent failures and optimize equipment performance. Condition monitoring has become crucial for manufacturers aiming to improve operational efficiency, reduce unexpected downtime, and better manage spare parts and costs. The push towards lean manufacturing has further accelerated the adoption of these systems, enabling companies to streamline production and achieve greater cost predictability.

Gather more insights about the market drivers, restrains and growth of the Machine Condition Monitoring Market

Regional Insights:

North America Machine Condition Monitoring Market Trends

North America held the largest market share, accounting for over 36% of revenue in 2024. The region, particularly the U.S. and Canada, is experiencing increasing demand for machine condition monitoring solutions across industries such as power generation, aerospace, oil & gas, marine, and food & beverages. Vibration monitoring has become particularly important in the oil & gas sector, where it is used to analyze oil conditions in machinery lubricants on offshore platforms. With the rise in offshore oil exploration, companies in North America are well-positioned to strengthen their market presence by integrating advanced monitoring technologies. This trend indicates a growing emphasis on predictive maintenance and reliability to enhance operational efficiency and ensure safety.

U.S. In the United States, the machine condition monitoring market is expanding as manufacturers embrace Industry 4.0 practices to improve productivity. Industry 4.0 encourages the adoption of smart technologies and predictive maintenance to reduce equipment downtime and associated costs. As a result, predictive maintenance is being widely implemented across the U.S. manufacturing sector, allowing businesses to perform timely repairs, minimize unplanned shutdowns, and extend the lifespan of machinery, all of which are contributing to market growth.

Asia Pacific Machine Condition Monitoring Market Trends

Asia Pacific is expected to see the highest growth rate in the machine condition monitoring market. Within the region, China is the largest market, followed by India and Japan, driven by extensive manufacturing activities and governmental support for Industry 4.0 initiatives. As these countries continue to adopt smart manufacturing technologies, the demand for condition monitoring solutions is expected to grow. Furthermore, global leaders in condition monitoring technology, such as SKF, General Electric, and Honeywell International Inc., are actively investing in research and development in the region. These companies are also expanding their presence in Asia Pacific, which is further contributing to the market's strong growth trajectory.

Europe Machine Condition Monitoring Market Trends

Europe’s machine condition monitoring market is projected to grow significantly over the coming years. The increase is largely due to substantial investments in automation and digitalization across industries such as manufacturing, automotive, and energy. Additionally, strict regulations related to equipment safety and environmental impact are motivating companies to adopt condition monitoring technologies. By integrating these advanced monitoring solutions, European companies are able to meet regulatory standards, reduce operational risks, and achieve higher efficiency, which is helping to drive market expansion in the region.

Browse through Grand View Research's Category Next Generation Technologies Industry Research Reports.

The global postal automation system market size was estimated at USD 903.7 million in 2024 and is projected to grow at a CAGR of 7.0% from 2025 to 2030.

The global generative AI market size was valued at USD 16.87 billion in 2024 and is projected to grow at a CAGR of 37.6% from 2025 to 2030.

Key Companies & Market Share Insights:

In the highly competitive machine condition monitoring market, leading companies, including Emerson Electric Co., General Electric, Honeywell International Inc., and SKF, are implementing strategic initiatives to strengthen their market positions and expand their customer base. These companies leverage partnerships, mergers, acquisitions, collaborations, and new product developments to stay ahead of market trends and meet the evolving needs of industries relying on condition monitoring for equipment reliability and performance. Their focus on innovation helps these companies stay competitive in response to advancements in security, efficiency, and predictive maintenance technologies.

Emerson Electric Co. -

Emerson Electric Co. is a global leader in technology and engineering, providing automation solutions and industrial equipment across various sectors. In the machine condition monitoring sector, Emerson Electric Co. offers a comprehensive portfolio of products and services aimed at optimizing equipment health, performance, and overall operational efficiency. Their condition monitoring solutions incorporate advanced technologies, including the Internet of Things (IoT) and Artificial Intelligence (AI), to deliver real-time insights into equipment status. This proactive monitoring supports predictive maintenance strategies that help prevent breakdowns and reduce operational downtime.

Emerson Electric Co.’s portfolio includes a range of products such as wireless sensors, advanced diagnostic tools, and software platforms that allow seamless data integration and analysis. These solutions enable companies to monitor machinery remotely, assess real-time equipment data, and detect potential issues early. This suite of tools enhances not only operational efficiency but also safety and reliability by identifying emerging problems before they escalate. With these advanced condition monitoring capabilities, Emerson Electric Co. continues to provide industries with essential tools for equipment optimization and cost reduction.

General Electric -

Known for its expansive and diverse portfolio, General Electric (GE) operates across sectors such as aviation, healthcare, and renewable energy. In the machine condition monitoring market, GE leverages its expertise in IoT technology and predictive analytics to deliver cutting-edge solutions for equipment health monitoring and reliability enhancement. GE’s machine condition monitoring solutions, such as the innovative GE Digital Twin technology, enable real-time monitoring and predictive maintenance for critical equipment.

The GE Digital Twin technology creates virtual replicas of physical assets, allowing operators to simulate and analyze the behavior of machinery under various conditions. This technology enables companies to monitor the health of machinery remotely, assess historical performance, and predict potential failure points. Through these insights, businesses can initiate maintenance before issues arise, reducing the chances of unplanned downtime and maximizing equipment uptime. GE’s commitment to machine condition monitoring reflects its emphasis on digital transformation and its role in supporting clients with data-driven strategies that enhance reliability and performance across multiple industries.

Key Machine Condition Monitoring Companies:

ALS

Emerson Electric Co.

General Electric

Honeywell International Inc.

Megget PLC

NATIONAL INSTRUMENTS CORP

Parker Hannifin

Rockwell Automation, Inc.

SKF

Schaeffler AG

Order a free sample PDF of the Machine Condition Monitoring Market Intelligence Study, published by Grand View Research.

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Machine Condition Monitoring Industry 2030 Size, Share, Business Growth, Demand and Applications

The global machine condition monitoring market was valued at approximately USD 3.49 billion in 2024 and is expected to experience steady growth with a compound annual growth rate (CAGR) of 7.6% from 2025 to 2030. The growth is largely driven by the rising need for advanced diagnostics to assess and monitor machine health, which helps to prevent failures and optimize equipment performance.…

[researchreportinsight]

Machine Condition Monitoring Industry 2030 Outlook, Regions, Size Estimation and Upcoming Trend

The global machine condition monitoring market was valued at approximately USD 3.49 billion in 2024 and is expected to experience steady growth with a compound annual growth rate (CAGR) of 7.6% from 2025 to 2030. The growth is largely driven by the rising need for advanced diagnostics to assess and monitor machine health, which helps to prevent failures and optimize equipment performance. Condition monitoring has become crucial for manufacturers aiming to improve operational efficiency, reduce unexpected downtime, and better manage spare parts and costs. The push towards lean manufacturing has further accelerated the adoption of these systems, enabling companies to streamline production and achieve greater cost predictability.

Gather more insights about the market drivers, restrains and growth of the Machine Condition Monitoring Market

Regional Insights:

North America Machine Condition Monitoring Market Trends

North America held the largest market share, accounting for over 36% of revenue in 2024. The region, particularly the U.S. and Canada, is experiencing increasing demand for machine condition monitoring solutions across industries such as power generation, aerospace, oil & gas, marine, and food & beverages. Vibration monitoring has become particularly important in the oil & gas sector, where it is used to analyze oil conditions in machinery lubricants on offshore platforms. With the rise in offshore oil exploration, companies in North America are well-positioned to strengthen their market presence by integrating advanced monitoring technologies. This trend indicates a growing emphasis on predictive maintenance and reliability to enhance operational efficiency and ensure safety.

U.S. In the United States, the machine condition monitoring market is expanding as manufacturers embrace Industry 4.0 practices to improve productivity. Industry 4.0 encourages the adoption of smart technologies and predictive maintenance to reduce equipment downtime and associated costs. As a result, predictive maintenance is being widely implemented across the U.S. manufacturing sector, allowing businesses to perform timely repairs, minimize unplanned shutdowns, and extend the lifespan of machinery, all of which are contributing to market growth.

Asia Pacific Machine Condition Monitoring Market Trends

Asia Pacific is expected to see the highest growth rate in the machine condition monitoring market. Within the region, China is the largest market, followed by India and Japan, driven by extensive manufacturing activities and governmental support for Industry 4.0 initiatives. As these countries continue to adopt smart manufacturing technologies, the demand for condition monitoring solutions is expected to grow. Furthermore, global leaders in condition monitoring technology, such as SKF, General Electric, and Honeywell International Inc., are actively investing in research and development in the region. These companies are also expanding their presence in Asia Pacific, which is further contributing to the market's strong growth trajectory.

Europe Machine Condition Monitoring Market Trends

Europe’s machine condition monitoring market is projected to grow significantly over the coming years. The increase is largely due to substantial investments in automation and digitalization across industries such as manufacturing, automotive, and energy. Additionally, strict regulations related to equipment safety and environmental impact are motivating companies to adopt condition monitoring technologies. By integrating these advanced monitoring solutions, European companies are able to meet regulatory standards, reduce operational risks, and achieve higher efficiency, which is helping to drive market expansion in the region.

Browse through Grand View Research's Category Next Generation Technologies Industry Research Reports.

The global postal automation system market size was estimated at USD 903.7 million in 2024 and is projected to grow at a CAGR of 7.0% from 2025 to 2030.

The global generative AI market size was valued at USD 16.87 billion in 2024 and is projected to grow at a CAGR of 37.6% from 2025 to 2030.

Key Companies & Market Share Insights:

In the highly competitive machine condition monitoring market, leading companies, including Emerson Electric Co., General Electric, Honeywell International Inc., and SKF, are implementing strategic initiatives to strengthen their market positions and expand their customer base. These companies leverage partnerships, mergers, acquisitions, collaborations, and new product developments to stay ahead of market trends and meet the evolving needs of industries relying on condition monitoring for equipment reliability and performance. Their focus on innovation helps these companies stay competitive in response to advancements in security, efficiency, and predictive maintenance technologies.

Emerson Electric Co. -

Emerson Electric Co. is a global leader in technology and engineering, providing automation solutions and industrial equipment across various sectors. In the machine condition monitoring sector, Emerson Electric Co. offers a comprehensive portfolio of products and services aimed at optimizing equipment health, performance, and overall operational efficiency. Their condition monitoring solutions incorporate advanced technologies, including the Internet of Things (IoT) and Artificial Intelligence (AI), to deliver real-time insights into equipment status. This proactive monitoring supports predictive maintenance strategies that help prevent breakdowns and reduce operational downtime.

Emerson Electric Co.’s portfolio includes a range of products such as wireless sensors, advanced diagnostic tools, and software platforms that allow seamless data integration and analysis. These solutions enable companies to monitor machinery remotely, assess real-time equipment data, and detect potential issues early. This suite of tools enhances not only operational efficiency but also safety and reliability by identifying emerging problems before they escalate. With these advanced condition monitoring capabilities, Emerson Electric Co. continues to provide industries with essential tools for equipment optimization and cost reduction.

General Electric -

Known for its expansive and diverse portfolio, General Electric (GE) operates across sectors such as aviation, healthcare, and renewable energy. In the machine condition monitoring market, GE leverages its expertise in IoT technology and predictive analytics to deliver cutting-edge solutions for equipment health monitoring and reliability enhancement. GE’s machine condition monitoring solutions, such as the innovative GE Digital Twin technology, enable real-time monitoring and predictive maintenance for critical equipment.

The GE Digital Twin technology creates virtual replicas of physical assets, allowing operators to simulate and analyze the behavior of machinery under various conditions. This technology enables companies to monitor the health of machinery remotely, assess historical performance, and predict potential failure points. Through these insights, businesses can initiate maintenance before issues arise, reducing the chances of unplanned downtime and maximizing equipment uptime. GE’s commitment to machine condition monitoring reflects its emphasis on digital transformation and its role in supporting clients with data-driven strategies that enhance reliability and performance across multiple industries.

Key Machine Condition Monitoring Companies:

ALS

Emerson Electric Co.

General Electric

Honeywell International Inc.

Megget PLC

NATIONAL INSTRUMENTS CORP

Parker Hannifin

Rockwell Automation, Inc.

SKF

Schaeffler AG

Order a free sample PDF of the Machine Condition Monitoring Market Intelligence Study, published by Grand View Research.

[marketanalysisdata]

Machine Condition Monitoring Market Size & Forecast Report, 2030

The global machine condition monitoring market was valued at USD 3.49 billion in 2024 and is expected to grow at a compound annual growth rate (CAGR) of 7.6% from 2025 to 2030. This growth is primarily driven by the need for advanced diagnostic tools to assess equipment health and predict maintenance needs effectively. Manufacturers increasingly rely on condition monitoring systems to enhance equipment performance and maintenance, which helps to optimize productivity and reduce the risk of unexpected breakdowns. In addition, the shift toward lean manufacturing has motivated manufacturers to adopt condition monitoring systems to improve production efficiency, reduce downtime, and streamline inventory management for spare parts.

Businesses are showing increased interest in condition monitoring as it enhances productivity, extends equipment lifespan, and minimizes scrap parts by reducing downtime. With real-time data on machine conditions, companies can leverage automation and make data-driven maintenance decisions. A notable development in this space is eNETDNC’s integration of Microsoft Power BI Desktop with its machine monitoring software in February 2024. This integration allows users to create customizable, real-time reports and dashboards, helping customers optimize processes through interactive visualization of key performance indicators, machine status, and production trends.

Gather more insights about the market drivers, restrains and growth of the Machine Condition Monitoring Market

Machine condition monitoring involves measuring various parameters of equipment to prevent breakdowns by identifying changes that could indicate potential faults. This approach is widely adopted across industries such as oil & gas, automotive, power generation, metals & mining, marine, and aerospace. Condition monitoring has become central to predictive maintenance, which improves asset longevity, enhances cost savings, ensures operator safety, and streamlines industrial processes. The prevalence of the Internet of Things (IoT) has introduced a new dimension to machine condition monitoring, enabling real-time communication between devices. As a result, industries can now make more informed decisions and improve diagnostic precision.

As industries prioritize operational efficiency, they are increasingly adopting advanced machine condition monitoring technologies, including artificial intelligence (AI) and machine learning (ML). These technologies enable predictive maintenance by analyzing historical data to recognize patterns and anticipate failures before they occur. Additionally, integrating cloud computing offers centralized data storage and analysis capabilities, allowing for real-time monitoring and remote access to equipment performance data. This shift in technology supports better decision-making, proactive maintenance, and ultimately reduces downtime and maintenance expenses, while boosting productivity and equipment reliability.

Application Segmentation Insights:

The turbines & generators segment held the largest revenue share in 2024. This growth is mainly attributed to the power generation industry's need for preventive maintenance. Turbines and generators are crucial components in power plants, and machine condition monitoring allows early identification of issues that could lead to costly outages. Moreover, the segment benefits from the increased use of renewable energy sources, which require advanced monitoring and predictive maintenance solutions to ensure operational efficiency and cost-effectiveness. Innovations like vibration analysis and infrared thermography have further advanced condition monitoring in this segment by providing more precise data on turbine and generator health.

The HVAC (Heating, Ventilation, and Air Conditioning) systems segment is also anticipated to see considerable growth in the coming years. This growth is fueled by the rising demand for energy-efficient and environmentally sustainable HVAC systems, along with the growing adoption of smart HVAC solutions with remote control features. As the commercial and industrial sectors expand, so does the need to improve indoor air quality, driving demand for advanced HVAC systems. Key trends supporting this growth include the integration of green technologies like geothermal heat pumps and solar-powered HVAC systems, the use of smart thermostats for remote control, and the development of demand-response HVAC systems that adjust settings based on occupancy levels. These advancements enhance energy efficiency and align with sustainability goals.

The machine condition monitoring market is thus set to expand significantly, driven by the increasing adoption of predictive maintenance technologies, demand for sustainable solutions, and industry-wide digital transformation efforts.

Order a free sample PDF of the Machine Condition Monitoring Market Intelligence Study, published by Grand View Research.

[marketstudyreport]

Machine Condition Monitoring Market Overview, Competitive Landscape and Forecasts 2030

The global machine condition monitoring market was valued at USD 3.49 billion in 2024 and is expected to grow at a compound annual growth rate (CAGR) of 7.6% from 2025 to 2030. This growth is primarily driven by the need for advanced diagnostic tools to assess equipment health and predict maintenance needs effectively. Manufacturers increasingly rely on condition monitoring systems to enhance equipment performance and maintenance, which helps to optimize productivity and reduce the risk of unexpected breakdowns. In addition, the shift toward lean manufacturing has motivated manufacturers to adopt condition monitoring systems to improve production efficiency, reduce downtime, and streamline inventory management for spare parts.

Businesses are showing increased interest in condition monitoring as it enhances productivity, extends equipment lifespan, and minimizes scrap parts by reducing downtime. With real-time data on machine conditions, companies can leverage automation and make data-driven maintenance decisions. A notable development in this space is eNETDNC’s integration of Microsoft Power BI Desktop with its machine monitoring software in February 2024. This integration allows users to create customizable, real-time reports and dashboards, helping customers optimize processes through interactive visualization of key performance indicators, machine status, and production trends.

Gather more insights about the market drivers, restrains and growth of the Machine Condition Monitoring Market

Machine condition monitoring involves measuring various parameters of equipment to prevent breakdowns by identifying changes that could indicate potential faults. This approach is widely adopted across industries such as oil & gas, automotive, power generation, metals & mining, marine, and aerospace. Condition monitoring has become central to predictive maintenance, which improves asset longevity, enhances cost savings, ensures operator safety, and streamlines industrial processes. The prevalence of the Internet of Things (IoT) has introduced a new dimension to machine condition monitoring, enabling real-time communication between devices. As a result, industries can now make more informed decisions and improve diagnostic precision.

As industries prioritize operational efficiency, they are increasingly adopting advanced machine condition monitoring technologies, including artificial intelligence (AI) and machine learning (ML). These technologies enable predictive maintenance by analyzing historical data to recognize patterns and anticipate failures before they occur. Additionally, integrating cloud computing offers centralized data storage and analysis capabilities, allowing for real-time monitoring and remote access to equipment performance data. This shift in technology supports better decision-making, proactive maintenance, and ultimately reduces downtime and maintenance expenses, while boosting productivity and equipment reliability.

Application Segmentation Insights:

The turbines & generators segment held the largest revenue share in 2024. This growth is mainly attributed to the power generation industry's need for preventive maintenance. Turbines and generators are crucial components in power plants, and machine condition monitoring allows early identification of issues that could lead to costly outages. Moreover, the segment benefits from the increased use of renewable energy sources, which require advanced monitoring and predictive maintenance solutions to ensure operational efficiency and cost-effectiveness. Innovations like vibration analysis and infrared thermography have further advanced condition monitoring in this segment by providing more precise data on turbine and generator health.

The HVAC (Heating, Ventilation, and Air Conditioning) systems segment is also anticipated to see considerable growth in the coming years. This growth is fueled by the rising demand for energy-efficient and environmentally sustainable HVAC systems, along with the growing adoption of smart HVAC solutions with remote control features. As the commercial and industrial sectors expand, so does the need to improve indoor air quality, driving demand for advanced HVAC systems. Key trends supporting this growth include the integration of green technologies like geothermal heat pumps and solar-powered HVAC systems, the use of smart thermostats for remote control, and the development of demand-response HVAC systems that adjust settings based on occupancy levels. These advancements enhance energy efficiency and align with sustainability goals.

The machine condition monitoring market is thus set to expand significantly, driven by the increasing adoption of predictive maintenance technologies, demand for sustainable solutions, and industry-wide digital transformation efforts.

Order a free sample PDF of the Machine Condition Monitoring Market Intelligence Study, published by Grand View Research.

[industrynewsupdates]

Machine Condition Monitoring Market Size, Share, Growth and Industry Trends, 2030

The global machine condition monitoring market size was valued at USD 2.91 billion in 2022 and is expected to grow at a compound annual growth rate (CAGR) of 7.9% from 2023 to 2030. 

Need to provide advanced diagnostics and help determine a machine's health has underpinned market growth. Manufacturers have sought condition monitoring systems to optimize and monitor performance and maintenance of their equipment. Besides, the trend for lean manufacturing has prompted manufacturers to seek condition monitoring to bolster production efficiency, minimize downtime, and enhance spare parts supplies and cost prediction. Stakeholders have exhibited traction for condition monitoring for enhanced productivity, equipment longevity, elimination & reduction of downtime, minimizing scrap parts, and leveraging automation based on real-time machine condition data.

For instance, in November 2022, Doble Engineering Company which offers asset health checks through their diagnostic test, services, and software for electric industry, released a new product, Calisto cable condition monitoring for medium and high voltage cable systems. The new Calisto cable offers secure and dependable cable operation, lowering the risk of failures, reducing total cost of ownership and solutions, and giving near crucial real-time data regarding cable health.

Gather more insights about the market drivers, restrains and growth of the Machine Condition Monitoring Market

Machine Condition Monitoring Market Report Highlights

• The vibration monitoring segment led the market in 2022, accounting for over 26% share of the global revenue. This growth can be attributed to the rising demand for detecting wear, misalignments, and imbalances, along with the widespread use of monitoring devices for early-stage fault detection.

• The turbines & generators segment led the market in 2022, accounting for over 16% of global revenue. This growth is attributed to the rising demand for wind and solar power, necessitating regular monitoring of turbines and generators to ensure continuous operations.

• The online condition monitoring segment is likely to account for a sizable share of the global market due to the trend for remote monitoring and an increased need to reduce downtime.

• The hardware segment will grow as the development of strong sensors and other devices that enable remote machine health analysis is a major focus of hardware manufacturers.

• Due to rising oil exploration activities, North America will contribute significantly to the global market.

• Some regions in North America have the most competitive and constantly changing and rising technology improvements in the machine condition monitoring market. The expanding number of machine condition monitoring businesses globally is projected to support market expansion.

Browse through Grand View Research's Next Generation Technologies Industry Research Reports.

• The global neural processor market size was estimated at USD 237.6 million in 2023 and is projected to grow at a CAGR of 19.3% from 2024 to 2030.

• The global service virtualization market size was valued at USD 786.0 Million in 2023 and is projected to grow at a compound annual growth rate (CAGR) of 17.4% from 2024 to 2030. 

Machine Condition Monitoring Market Segmentation

Grand View Research has segmented the global machine condition monitoring market based on monitoring technique, component, product type, application, architecture type, plant type, monitoring process, end-use industry, and region:

Machine Condition Monitoring Technique Outlook (Revenue, USD Billion, 2017 - 2030)

• Torque Monitoring

• Vibration Monitoring

• Oil Analysis

• Thermography

• Corrosion Monitoring

• Others

Machine Condition Monitoring Component Outlook (Revenue, USD Billion, 2017 - 2030)

• Hardware

• Portable/Handheld Condition Monitoring Units

• Software

• Services

Machine Condition Monitoring Product Type Outlook (Revenue, USD Billion, 2017 - 2030)

• Valves

• Compressors

• Turbines

• Gearbox

• Motors

• Bearings

• Couplings

• Others

Machine Condition Monitoring Application Outlook (Revenue, USD Billion, 2017 - 2030)

• HVAC Systems

• Turbines & Generators

• Material Handling

• Conveyors

• Pump Systems

• Sprockets

• Bushings & Hubs

• Control Cabinet Monitoring

• Paper Presses

• Storage Rooms

• Motor Control

• Lubricant Level Monitoring on CNC Machines

• Others

Machine Condition Monitoring Architecture Type Outlook (Revenue, USD Billion, 2017 - 2030)

• Public Cloud

• Edge Platform

• Hybrid Cloud

• On-premises

Machine Condition Monitoring Plant Type Outlook (Revenue, USD Billion, 2017 - 2030)

• Greenfield Plant

• Brownfield Plant

Machine Condition Monitoring Process Outlook (Revenue, USD Billion, 2017 - 2030)

• Online Condition Monitoring

• Portable Condition Monitoring

Machine Condition Monitoring End-use Industry Outlook (Revenue, USD Billion, 2017 - 2030)

• Mining

• Primary Metals

• Power Generation

• Automotive

• Oil & Gas

• Aerospace

• Food & Beverages

• Chemicals

• Marine

• Pharmaceutical

• Pulp & Paper

• Others

Machine Condition Monitoring Regional Outlook (Revenue, USD Billion, 2017 - 2030)

• North America

o U.S.

o Canada

o Mexico

• Europe

o U.K.

o Germany

o France

• Asia Pacific

o China

o Japan

o India

• Central & South America

o Brazil

• MEA

Order a free sample PDF of the Machine Condition Monitoring Market Intelligence Study, published by Grand View Research.

[seoul-bros]

The Future of Jikook

After watching the video and GMA soundcheck performance on Friday and then seeing all the contradictory reactions on line to the song and its reception, I have been quietly mulling things over here in my little corner of the internet.

There are so many fan feelings conflating here. Those who want JK to turn into the BTS Harry Styles, those who are still smarting over the way changes to BB affected the trajectory of FACE, those who feel that the breakout of one member is a threat to ever seeing BTS as a band again. It makes for a tense, emotional and chaotic time on-line especially on Twitter where people tend to have a knee jerk reaction to anything that is said and nuance is completely lost.

Look into yourself and I am sure you will find a whole load of contradictory emotions lapping at your consciousness right now. What I have found myself thinking however, is how does all this noise affect the members and in particular Jimin and Jungkook?

Making Choices

One question that came to mind was why did Jungkook pick this song for his solo debut. What is it that he likes about it and how does that differ from the way SB sees or is marketing the song. During Festa 2023 I commented on the transformation that JK has been through since last year. He has made a conscious effort to shake off the maknae part of the golden maknae starting with his deal with Calvin Klein and all the swooning I am seeing on Tumblr shows that he has succeeded. As Yoongi said, JK is all grown up.

Then I was thinking about JK's musical choices, who and what he listens to and I remembered earlier this year he sang the Sam Smith and Kim Petras hit Unholy on one of his lives. If you also recall he later scolded Jimin for being prudish about the song on his own live.

Twitter Link

JK was obviously ready to move into more explicit territory even then. So what about Seven made him think this is the song that launches me as the new and more mature JK.

I think for one thing, the lyrics are sensual and not gender specific. I am in the "loving you right" lyric camp because it gives a more mutual gratification feel to the song in keeping with the other lyrics as opposed to the macho stud, I'm a sex machine, version.

Jungkook wants to ease his lover's mind, he want to trace their lines, he loves how they wrap around him when they make love, he is devoted, his love runs deep and when they are together he wants to make sure his lover is satisfied and feeling that afterglow.

So yes JK is going to be talking about sex from now on along with almost everyone else in the Western music industry. Along with Jimin for example. As a side note, I still don't quite understand my overwhelmingly visceral reaction to the Like Crazy MV. It's f**king art and so is he.

Now SB and his cronies know the audience they are playing to and we will get symbolically het videos both for this and what is rumoured to be his completely English speaking solo album but even this video, which to be honest I have dumped in favour of the live performance and the choreo video, went for humour rather than full out fangirl wish fulfillment. I mean that may also come but I get the feeling that somewhere down the line they are going to need to pivot hard.

What do jikook want?

Secondly, I was thinking what do jikook want both severally and individually. All the members have an enviable work ethic and a deep love of music but the emphasis that these two and JHope put on performance is legendary. Look at Jimin here monitoring between shoots for his music shows in the behind the scenes video this week. He is serious about giving his best even when he himself is not in the best physical condition.

They are both ambitious and are looking for longevity in the industry and importantly, and prefacing this with an, in my opinion, this is something they want to do together. Neither wants the other to get left behind and I think that is what they are fighting for right now.

Whatever you think about their bond, it cannot be dismissed and the sequence of events of the last few weeks for me just reinforces that. Everyone noticed the way their relationship was highlighted in the Beyond the Story book (just started my copy yesterday but I couldn't resist the spoilers last week) to the extent that Variety went on a fishing expedition which JK expertly deflected.

Jimin is in New York right now and Jikook were seen dining together the night he arrived. We don't know what Jimin's schedule is but we can assume that he will take advantage of the visit to also support Jungkook as he has done with the other members when his schedule allowed. Jungkook is important to Jimin and vice versa.

Has everyone already forgotten the amount of promo that JK has done for Jimin over the last few months. Here he is listening to JKIVE's Golden Hour who we later found out was collaborating with Jimin on Angel Parts I and II.

So this is the perspective that I am going to adopt from here on in when I react to content. I am going to ask myself does my reaction help or hinder jikook in being able to continue working together towards their aim of further success in the music industry. I will veto anything designed to drive a wedge between them, be that from the company or the fans and I will continue to work hard for them in the way that a fan can buying, streaming and supporting their music and their content. There is even word on the grapevine that there maybe some jikook collaboration and/or content on the way. I'll be watching out for that.

Wow quick update something is definitely coming.

Post Date: 16/07/2023

[sortedviews]

GIG VS AI

Ladies & gentlemen, the greatest fight of the 21st century is expected to arrive within this 2 decade (2020 to 2040), where we will witness a clash between our economic gladiators, who are the GIG economy and its components, and the AI economy and its components. This fight has the potential to decide what will be the future of “bottom ones” in the world.

On one side of the global arena, we have the GIG economy, which means a marketplace where individuals (mostly labor categories) are hired for projects that are shorter in duration and lack all kinds of formal sector traits in it, for example, food delivery, free lancing, project-based hires, etc., and according to a World Bank report, it is expected to have 435 million people. On the other side of global arena, we have AI economy, which means a world where every action of an individual will have a basic support system which will ease its work and help to excel at faster, better and more straight way, for Example: AI writing a blog, AI Drone delivery, AI writing assignments, AI as an employee responsible for hiring and firing an employee, etc.

You must be wondering why two oceans are being compared; it is because they both share the same boundary and are fading at a very fast rate. Also, you must be wondering, “So what??/..., I am not liable for anything and neither affected.” If economics had been this simple, then earthians might never search for heaven.

The Gig economy face a major challenge from AI and you might even have figured out what the challenges might be, but just to make clarity in thoughts, let me explain

The challenges are:

1) JOB DISPLACEMENT: The first and foremost challenge is the job displacement of being fired. Any gig economy roles, such as delivery drivers, customer service agents, and data entry workers, are at risk of being automated by AI technologies like autonomous vehicles, chatbots, and machine learning algorithms.

2) SKILLS OBSOLESCENCE: AI advancements require gig workers to continually upskill to stay relevant. For instance, tasks like basic graphic design or transcription can now be automated, pushing workers to adapt to more complex roles.

3) TECHNICAL SELECTION: Many gig platforms use AI to allocate tasks, evaluate performance, and determine pay rates. This can lead to feelings of dehumanization and a lack of transparency in decision-making.

4) REGULATORY CHALLENGES: Gig workers often provide personal data to platforms, and AI can exploit this data for profit without proper worker protections.

5) MARKET CENTRALIZATION: AI-driven gig platforms can centralize market power, reducing workers' ability to negotiate terms. As platforms grow, they often extract higher fees or impose stricter conditions on gig workers.

These are some dangers that will be faced by nearly 450 million GIG workers in the future from the AI, so now the question in your mind might be, “What can GIG do in front of AI to ensure its survival?” The answer is “Collaborate." The GIG economy, instead of considering AI its opponent, has to consider it a future ally.

The collaboration ways are:

·       AI may evaluate market trends and suggest new abilities that employees should acquire in order to stay competitive.

·       AI-Enhanced Creativity Tools: To improve their work and produce results more quickly, gig workers in creative industries (such as writing and design) can make use of AI tools like generative design or content creation platforms.

·       Fair pricing models: AI is able to determine the best prices for services by taking into account worker effort, market conditions, and demand, which guarantees more equitable pay structures.

·       Transparent Ratings and Feedback: By detecting and reducing biases in customer reviews or ratings, AI algorithms can guarantee that gig workers are fairly evaluated.

·       Hybrid jobs: Gig workers can cooperate with AI systems in jobs like monitoring or optimizing AI outputs that platforms can introduce. 

·       Resource Optimization: AI can optimize routes, cut down on fuel usage, and save time for services like delivery and ride-hailing.

·       Improved Matching Algorithms: AI can be used to more effectively match gig workers with jobs that fit their locations, preferences, and skill sets. This can increase job satisfaction and decrease downtime.In summary, the titanic conflict between the AI and gig economies represents a chance for cooperation rather than a struggle for supremacy. The difficulties presented by AI—centralization of the market, skill obsolescence, and employment displacement—are formidable, but they are not insurmountable. Accepting AI as a friend rather than an enemy is essential to the gig workforce's survival and success.

Gig workers can increase productivity, obtain access to more equitable systems, and open up new growth opportunities by incorporating AI tools. In a fast-changing economy, AI can enable workers to thrive through hybrid roles, transparent feedback, and resource optimization. This change must be spearheaded by platforms, legislators, and employees working together to ensure equity, inclusion, and flexibility.

Our capacity to strike a balance between innovation and humanity will determine the future of the "bottom ones." The decisions we make now will influence the economy of tomorrow, whether we are consumers, policymakers, or gig workers. Let's make sure that the economic legacy of the twenty-first century is defined by cooperation rather than rivalry.

[dropsofsciencenews]

OpenStreetMap to Stop Cheetah Trafficking

ITA version ESP version

Behind the glamorous social media photos of cheetah cubs lies a dark reality. With fewer than 7,000 individuals in the wild, the cheetah (Acinonyx jubatus) is one of the world’s most endangered species, and the illegal trade of live cubs, especially in the Horn of Africa, is devastating its populations. Poachers take cubs from their mothers while they hunt, selling them into the luxury pet market at prices reaching $50,000 per cub. Between 2020 and 2023, this trade increased by 50%, posing a serious threat to the species' survival.

However, a new methodology developed by a research team could finally help monitor and disrupt illegal cheetah trafficking through a three-tiered approach. Scientists are mapping not only the trafficking routes but also previously undocumented cheetah populations, combining prey species distribution models, habitat suitability, and a trafficking network based on OpenStreetMap data.

The first step involves locating cheetah prey, such as gazelles and antelopes, which are essential for their survival. The team used Maxent, a machine learning method, to cross-reference prey presence data with environmental variables like climate and land cover, thus mapping the most suitable areas for cheetah survival. This step identifies key conservation areas and, unfortunately, those most vulnerable to poaching.

Based on these data, researchers developed a Habitat Suitability Index (HSI) specific to cheetahs, highlighting areas where their survival is most probable. This model identifies regions with optimal conditions for stable populations and locates areas at risk of trafficking, enabling targeted interventions.

Finally, a model was created to understand how traffickers move cheetahs from remote origin areas to Arabian Peninsula markets. By integrating OpenStreetMap data on roads, ports, and border crossings, researchers identified the most likely land and sea routes and main transit points. Route optimization tools mapped out trafficking “hotspots,” allowing law enforcement to plan strategic interventions at critical crossing points, such as less monitored ports and borders.

This model is a breakthrough in conservation, as it not only enables mapping and monitoring of trafficking routes but also reveals previously undocumented cheetahs, giving scientists and conservationists a more complete picture of the situation. With this discovery, we finally have a system to protect one of Africa’s most iconic species and provide local communities with a tool to defend their natural resources.

See You Soon and Good Science!

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