Here are relevant reports on : ai-predictive-maintenance-2026
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AI in Networks Market by Offering (Router & Switches, AI Networking Platform, Management Software, Software Defined Networking), Function (Optimization, Cybersecurity, Predictive Maintenance), Technology (Gen AI, ML, NLP) - Global Forecast to 2029
The global AI in Networks market is expected to grow from USD 10.9 billion in 2024 to USD 46.8 billion by 2029, at a compound annual growth rate (CAGR) of 33.8% during the forecast period.The key players NVIDIA Corporation, Cisco Systems, Inc. (US), Telefonaktiebolaget LM Ericsson (Sweden), Hewlett Packard Enterprise Development LP (US), Arista Networks, Inc. (US).
- Published: August 2024
- Price: $ 4950
- TOC Available:
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Predictive Maintenance Market by Monitoring Infrastructure (Sensors & Sensing, Imaging & Inspection Devices, Edge Monitoring, Connectivity Hardware), Software (APM, IIoT, Digital Twin, AI-driven Predictive Models) - Global Forecast to 2031
The predictive maintenance market is expected to grow from USD 13.89 billion in 2026 to USD 23.79 billion by 2031, reflecting a CAGR of 11.4% during the forecast period. The key players include ABB (Switzerland), Honeywell (US), Schneider Electric (France), AWS (US), IBM (US), Google (US), Microsoft (US), Hitachi (Japan), GE Vernova (US), and Oracle (US).
- Published: March 2026
- Price: $ 4950
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Streaming Analytics Market by Offering (Event Streaming Platform, AI Streaming, IoT Streaming Platform), Application (Predictive Maintenance, Supply Chain Optimization, Product Innovation & Management, Risk & Threat Detection) - Global Forecast to 2030
The global streaming analytics market size is projected to reach USD 7.78 billion by 2030 from USD 4.34 billion in 2025, at a CAGR of 12.4% during the forecast period. The major players in the streaming analytics market include IBM (US), Google (US), Oracle (US), Microsoft (US), SAP (Germany), SAS Institute (US), AWS (US), TIBCO (US), Informatica (US), Cloudera (US), and Snowflake (US).
- Published: October 2025
- Price: $ 4950
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AI in Oil & Gas Market by Type (Hardware, Software, Services), Application (Upstream, Midstream, Downstream), Function (Predictive Maintenance, Production Planning, Field Service, Material Movement, Quality Control), and Region - Global Forecast to 2022
The global AI in Oil & Gas market is expected to grow at a CAGR of 12.66%, from 2017 to 2022, to reach a projected USD 2.85 Billion by 2022. The growth will be mainly driven by the rise in adoption of the big data technology, digitalization of the Oil & Gas industry, investments in AI-related start-ups, and rising pressure to reduce production costs and increase efficiency. To enable an in-depth understanding of the competitive landscape, the report includes the profiles of some of the top players in AI in the Oil & Gas market. They are IBM (US), Accenture (Republic of Ireland), Google (US), Microsoft Corporation (US), and Oracle (US). These players adopted various strategies such as new product launches, contracts & agreements, and investments and expansions, to increase their global presence and market share.
- Published: December 2017
- Price: $ 4950
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Agentic AI in Predictive Maintenance Market by Component, Autonomy Level, Application, Technology, Deployment Mode, End-User, and by Region - Global Forecast to 2032
Agentic AI in Predictive Maintenance Market
- Published: September 2026
- Price: $ 4950
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5G Industrial IOT Market by Component (Hardware, Solutions, and Services), Organization Size, Application (Predictive Maintenance, Business Process Optimization), End User (Process Industries and Discrete Industries) and Region - Global Forecast to 2026
The 5G Industrial IOT Market is expected to grow from USD 0.5 billion in 2020 to USD 15.7 billion by 2026, at a CAGR of 79.1% during the forecast period. Major vendors operating in the 5G INDUSTRIAL IOT market include Qualcomm Technologies, Inc. (Qualcomm), Ericsson (Ericsson), Nokia (Nokia), Huawei Technologies Co., Ltd. (Huawei), Cisco Systems (Cisco), AT&T (AT&T), IBM Corporation (IBM), Microsoft Corporation (Microsoft), Siemens AG (Siemens), Verizon (Verizon), Sierra Wireless (Sierra Wireless), Telefónica S.A. (Telefónica), China Mobile Limited (China Mobile), China Unicom (Hong Kong) Limited (China Unicom), Vodafone (Vodafone), Advantech Co., Ltd. (Advantech), ASOCS (ASOCS), T-Mobile USA, INC (T-Mobile), TELUS (TELUS), Honeywell International Inc. (Honeywell), Intel Corporation (Intel), Bosch.IO GmbH (Bosch.IO), Deutsche Telekom AG (Deutsche Telekom), Telit (Telit), Thales Group (Thales), IDEMIA (IDEMIA), KT Corporation (KT), ABB (ABB), and NTT Data Corporation (NTT Data).
- Published: February 2021
- Price: $ 4950
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Computerized Maintenance Management System Market Size, Share, Growth & Trends by Offering (Software, Services), Application (Work Order Management, Preventive Maintenance, Predictive Maintenance, Asset Lifecycle Management, Analytics, Compliance & Audit) - Global Forecast to 2032
The global computerized maintenance management system market is expected to reach USD 2.67 billion by 2032 from USD 1.54 billion in 2026, exhibiting a CAGR of 9.6% during the forecast period. Leading players operating in the computerized maintenance management system market include IBM (US), SAP SE (Germany), Oracle (US), Rockwell Automation (US), Hexagon AB (Sweden), eMaint (US), Limble CMMS (US), Accruent (US), Samsara Inc. (US), and Aptean (US), among others.
- Published: June 2026
- Price: $ 4950
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No-Code AI Platforms Market by Technology (NLP, Predictive Analytics, Deep Learning) Automation Platforms (Conversational AI, Business Process Automation), Application (Workflow Automation, Text Translation, Chatbots) - Global Forecast to 2029
The global no-code AI platforms market is projected to reach USD 24.8 billion in 2029, at a CAGR of 38.2% during the forecast period. The major No-code AI platforms providers include IBM (US), Microsoft (US), Google (US), AWS (US), Salesforce (US), C3 AI (US), H2O. ai (US), Qlik (US), Clarifai (US), DataRobot (US), Dataiku (US), SymphonyAI (US), Altair (US), Levity (Germany), Akkio (US), Aito (Finland), Obviously AI (US), Pecan AI (Israel), Kore.ai (US), Konverse AI (US), Yellow.ai (US), MokeyLearn (US), Roboflow (US), NanoNets (US), Noogata (Israel), Rasa (US), Builder.ai (UK), Appy Pie (US), Accern (US), RunwayML (US), and Bubble (US). These companies have used both organic and inorganic growth strategies such as product launches, acquisitions, and partnerships to strengthen their position in the no-code AI platforms market.
- Published: June 2024
- Price: $ 4950
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Europe Manufacturing Execution System (MES) Market By Offering (Software, Services), Deployment (On-premises, Cloud, Hybrid), Application (Production Management, Quality Management, Performance Analytics, Predictive Maintenance) - Forecast to 2030
The Europe Manufacturing Execution System market is expected to grow from USD 3.80 billion in 2025 to USD 5.88 billion by 2030, at a compound annual growth rate (CAGR) of 9.1% during the forecast period The key players Schneider Electric (France), Siemens (Germany), Dassault Systèmes (France), SAP SE (Germany), ABB (Switzerland), Applied Materials (US), Aptean (Georgia), Infor (US), Epicor Software Corporation (US) Rockwell Automation (US), Honeywell International Inc. (US), Emerson Electric Co. (US), GE Vernova (US), Oracle (US).
- Published: August 2026
- Price: $ 4950
- TOC Available:
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Industrial Networking Solutions (INS) Market by Technology (SD-WAN, WLAN, IIoT), by Application (Remote Monitoring, Predictive Maintenance, Emergency & Incident Management, Asset Tracking & Management, Supply Chain Management) - Global Forecast to 2028
The industrial networking solutions market size is projected to USD 73.3 billion by 2028, at a CAGR of 20.2% during the forecast period. The industrial networking solutions market comprises major providers, such as Cisco (US), Juniper Networks (US), Huawei (China), Dell Technologies (US), Rockwell Automation (US), Eaton (Ireland), Nokia (Finland), HPE (US), ABB (Switzerland), Belden (US), Siemens (Germany), Moxa (US), Red Lion Controls (US), Veryx Technologies (India), Litmus Automation (US), Celona (US), GE Digital (US), Kyland Technology (China), Graphiant (US), A5G Networks (US). To increase their market share in the industrial networking solutions industry, these competitors have used a variety of growth methods, including partnerships, agreements, collaborations, new product releases, product enhancements, and acquisitions.
- Published: January 2024
- Price: $ 4950
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