Asset Performance Management Market Top Company Profiles, Emerging Technologies, Industry Growth and Demand by Forecast 2030

Asset Performance Management Market Top Company Profiles, Emerging Technologies, Industry Growth and Demand by Forecast 2030
GE Vernova (US), AVEVA (UK), ABB (Switzerland), IBM (US), SAP (Germany), Fluke (US), Emerson (US), Rockwell Automation (US), Honeywell (US).
Asset Performance Management Market by Solution (Predictive Maintenance & Analytics, Asset Reliability & Condition Monitoring, Sustainability & Emission), Asset Type (Infrastructure, Facility, IT/OT, Rotating Equipment, Mobile) – Global Forecast to 2030.

The Asset Performance Management Market is expected to develop at a compound annual growth rate (CAGR) of 10.5%, from approximately USD 2.16 billion in 2025 to USD 3.55 billion by 2030. Four key factors are reshaping the asset performance management (APM) market. By providing real-time anomaly detection, condition monitoring, and sophisticated analytics that prolong asset lifecycles and lower unplanned failures, the growing use of predictive and prescriptive maintenance revolutionizes operations. Rapid use of cloud and SaaS-based APM solutions is changing deployment methods by providing businesses with scalability, quicker time-to-value, and smooth updates without requiring significant infrastructure investments.

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Among solutions, sustainability & emission management is set to register the largest market share during the forecast period

Sustainability & emission management are becoming strategic priorities in the asset performance management market as regulatory pressure, investor demands, and corporate ESG goals force enterprises to better measure, reduce, and report carbon footprints. New vendors can capture market share by offering systems that automate emission monitoring, integrate energy consumption data, and generate auditable reporting, aligned with Scope 1, 2, and increasingly Scope 3. An illustrative deal is ABB’s press release of August 2024 acquisition of Germany-based Födisch Group, which strengthened ABB’s capabilities in continuous emission monitoring systems (CEMS), enhancing its measurement & analytics portfolio in response to stricter environmental regulations. Another case is Schneider Electric’s September 2024 launch of Zeigo Activate Lite, a freemium version of its emissions management SaaS platform that enables users to calculate baselines, set decarbonization targets, and track Scope 1 and 2 emissions. These moves show that customers demand accessible tools that not only monitor emissions but also push for actionable insights and transparency. For emerging vendors, the opportunity is to provide modular emission-monitoring hardware, data pipelines for utility/energy usage, dashboards compliant with reporting standards, and subscription models tied to emission reductions. Vendors who deliver fast deployment, strong interoperability with energy and asset systems, and auditing features will win in sustainability-driven APM procurement.

Among implementation & support services, managed services are poised to experience the highest growth rate during the forecast period

The managed services are expected to showcase the highest CAGR in the asset performance management market. Managed services in the APM market encompass continuous monitoring, system updates, data processing, alerting, and maintenance of the platform itself, often offered as an ongoing subscription. Customers benefit when they do not have high internal capacity for analytics, reliability engineering, or system operations. One illustrative move is Emerson’s May 2024 introduction of a managed APM service plan for rotating equipment, which includes sensor provisioning, cloud analytics, and regular reporting to reduce unexpected failures, as stated in the press release of the company. Managed services appeal particularly to mid-market and asset-intensive customers seeking lower upfront costs and predictable ongoing fees. Vendors can succeed by building remote monitoring centers, offering tiered service levels (from basic alerting to complete diagnosis and recommendations), and ensuring SLAs around uptime, false positives, and response times. Key enablers include scalable data infrastructure, diagnostic model maintenance, and strong customer communication channels. With managed services, assets’ health is maintained proactively, reducing lifecycle cost and downtime, while vendors obtain recurring revenue.

North America is estimated to account for the largest market during the forecast period

The North American asset performance management (APM) market is becoming increasingly attractive for new and emerging vendors as regulatory mandates and industrial transformation converge. In November 2024, the Canadian government released a press statement and introduced draft regulations requiring the oil and gas sector to cut emissions by up to 35% compared to 2019 levels, a measure that is accelerating the adoption of predictive monitoring and optimization tools to improve asset reliability while ensuring compliance. In March 2024, the US Environmental Protection Agency finalized new emissions standards for heavy-duty vehicles under Phase 3 GHG rules, compelling manufacturers and transportation operators to invest in asset efficiency, lifecycle management, and real-time diagnostics to meet stricter sustainability and performance requirements. These shifts are opening opportunities for APM providers to deliver solutions that integrate IoT, advanced analytics, and digital twin technologies tailored to the operational and regulatory needs of asset-intensive industries. By focusing on compliance-driven features, modular deployment, and partnerships with OEMs and cloud platforms, new entrants can establish strong footholds in energy, utilities, and transport sectors. The region’s combination of stringent regulations, modernization initiatives, and demand for operational resilience positions North America as one of the most attractive markets for innovative APM vendors.

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Unique Features in the Asset Performance Management Market

APM platforms use advanced machine learning and statistical models to forecast asset degradation and probable failure modes. By analyzing historical performance, sensor telemetry, and environmental conditions, these tools predict remaining useful life (RUL) and provide time-prioritized alerts so maintenance can shift from calendar-based to condition-based.

Modern APM solutions create digital twins — dynamic, physics-informed virtual replicas of physical equipment — to simulate behavior under different loads and failure scenarios. These twins enable what-if analysis, optimisation of operating parameters, and validation of maintenance strategies without risking the real asset.

Continuous condition monitoring via IoT sensors and edge devices is core to APM, giving real-time visibility into vibration, temperature, pressure, oil quality, and other health indicators. This live telemetry lets operators detect anomalies early and initiate automated diagnostic workflows or operator alerts instantly.

Beyond flagging problems, APM tools provide automated root-cause analysis by correlating multi-sensor patterns, event logs, and maintenance history. These diagnostic engines reduce time-to-diagnosis, lower false positives, and recommend specific corrective actions or spare-parts based on prior successful fixes.

Major Highlights of the Asset Performance Management Market

The global APM market is witnessing strong growth due to the increasing shift from reactive and preventive maintenance to predictive and prescriptive maintenance models. Organizations are leveraging machine learning, AI, and IoT analytics to forecast equipment failures, optimize maintenance schedules, and minimize unplanned downtime — resulting in substantial cost savings and improved asset reliability.

Advanced APM systems are rapidly integrating IoT sensors, artificial intelligence, and digital twin technology to enable real-time asset monitoring and performance simulation. These integrations empower industries to visualize asset behavior, test different operational conditions, and make informed decisions based on continuous data insights.

The rise of cloud deployment models has made APM solutions more scalable, flexible, and cost-effective. Cloud-based APM platforms enable remote monitoring of geographically dispersed assets, easy data consolidation, and seamless collaboration among global maintenance teams — fostering faster decision-making and centralized asset governance.

One of the major market drivers is the need for industries to improve operational efficiency while reducing maintenance and operational costs. APM tools help organizations extend asset lifecycles, lower total cost of ownership, and enhance return on assets (ROA) by enabling data-driven maintenance planning and performance benchmarking.

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Top Companies in the Asset Performance Management Market

Some of the major players in the asset performance management market include GE Vernova (US), AVEVA (UK), ABB (Switzerland), IBM (US), and SAP (Germany). These companies use and provide asset performance management (APM) solutions to improve reliability, optimize maintenance, and ensure operational compliance. From deploying predictive and prescriptive maintenance to integrating artificial intelligence, IoT, and digital twin technologies, these platforms help reduce downtime, lower costs, and extend equipment life while aligning with regulatory standards globally. Enabling more innovative asset utilization and data-driven decision-making, APM solutions allow enterprises to remain resilient, accelerate digital transformation, and sustain competitiveness in a performance-driven economy.

ABB

ABB is strengthening its position in the asset performance management market with strategies focused on AI-driven analytics, cloud-based platforms, and modular solutions that enhance reliability and operational efficiency. The company’s core competencies include the Genix APM suite with predictive, prescriptive, risk-based maintenance, generative AI capabilities through Genix APM Copilot, digital twin modeling, IIoT integration, edge to cloud connectivity, and domain-specific instrumentation diagnostics. The company has been highly active in recent years. In November 2023, ABB launched the ABB Ability SmartMaster platform in India to provide digital asset performance management for instrumentation across water, wastewater, chemical, and oil & gas sectors. In October 2024, ABB entered a multi-year global framework agreement with BHP to collaborate on operations, maintenance, and decarbonization of mining and processing assets. In 2025, ABB introduced generative AI into its Genix APM suite through the Copilot functionality. ABB combines vertically integrating hardware, software, and services with horizontal expansion into digital ecosystems and industrial partnerships.

IBM

IBM is reinforcing its position in the asset performance management market with strategies focused on hybrid cloud adoption, SaaS based delivery, and targeted industry solutions that simplify asset monitoring and maintenance. The company’s core competencies are anchored in the Maximo Application Suite, which offers predictive maintenance, condition monitoring, digital twin capabilities, IoT data integration, and machine learning tools for early fault detection. The company has been active in recent years in expanding its portfolio. In June 2023, IBM acquired Apptio to strengthen automation and cost management offerings. In July 2024, it completed the acquisition of StreamSets and webMethods, improving data integration and connectivity across enterprise applications. In October 2024, IBM acquired Prescinto, adding Maximo’s renewable energy monitoring and optimization functions. Through these steps, IBM combines vertical integration by linking monitoring, analytics, and operational workflows with horizontal expansion into new data tools, renewable energy capabilities, and cloud partnerships, ensuring greater value and efficiency for global industries.

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