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Highlights The global Predictive Maintenance In Manufacturing market is projected to reach US$ million by 2029 from an estimated US$ million in 2023, at a CAGR of % during 2024 and 2029. North American market for Predictive Maintenance In Manufacturing is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2024 through 2029. Asia-Pacific market for Predictive Maintenance In Manufacturing is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2024 through 2029. The major global companies of Predictive Maintenance In Manufacturing include IBM, Microsoft, SAP, GE Digital, Schneider, Hitachi, Siemens, Intel and RapidMiner, etc. In 2022, the world's top three vendors accounted for approximately % of the revenue. The global market for Predictive Maintenance In Manufacturing in Industrial and Manufacturing is estimated to increase from $ million in 2023 to $ million by 2029, at a CAGR of % during the forecast period of 2024 through 2029. Considering the economic change due to COVID-19 and Russia-Ukraine War Influence, Cloud Based, which accounted for % of the global market of Predictive Maintenance In Manufacturing in 2022, is expected to reach million US$ by 2029, growing at a revised CAGR of % from 2024 to 2029. Report Scope This report aims to provide a comprehensive presentation of the global market for Predictive Maintenance In Manufacturing, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Predictive Maintenance In Manufacturing. The Predictive Maintenance In Manufacturing market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global Predictive Maintenance In Manufacturing market comprehensively. Regional market sizes, concerning products by types, by application, and by players, are also provided. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes. For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments. The report will help the Predictive Maintenance In Manufacturing companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, product type, application, and regions. Key Companies & Market Share Insights In this section, the readers will gain an understanding of the key players competing. This report has studied the key growth strategies, such as innovative trends and developments, intensification of product portfolio, mergers and acquisitions, collaborations, new product innovation, and geographical expansion, undertaken by these participants to maintain their presence. Apart from business strategies, the study includes current developments and key financials. The readers will also get access to the data related to global revenue by companies for the period 2017-2022. This all-inclusive report will certainly serve the clients to stay updated and make effective decisions in their businesses. Some of the prominent players reviewed in the research report include: IBM Microsoft SAP GE Digital Schneider Hitachi Siemens Intel RapidMiner Rockwell Automation Software AG Cisco Bosch.IO C3.ai Dell Augury Systems Senseye T-Systems International TIBCO Software Fiix Uptake Sigma Industrial Precision Dingo Huawei ABB AVEVA SAS Product Type Insights Global markets are presented by Predictive Maintenance In Manufacturing type, along with growth forecasts through 2029. Estimates on revenue are based on the price in the supply chain at which the Predictive Maintenance In Manufacturing are procured by the companies. This report has studied every segment and provided the market size using historical data. They have also talked about the growth opportunities that the segment may pose in the future. This study bestows revenue data by type, and during the historical period (2018-2023) and forecast period (2024-2029). Predictive Maintenance In Manufacturing segment by Type Cloud Based On-premises Application Insights This report has provided the market size (revenue data) by application, during the historical period (2018-2023) and forecast period (2024-2029). This report also outlines the market trends of each segment and consumer behaviors impacting the Predictive Maintenance In Manufacturing market and what implications these may have on the industry's future. This report can help to understand the relevant market and consumer trends that are driving the Predictive Maintenance In Manufacturing market. Predictive Maintenance In Manufacturing Segment by Application Industrial and Manufacturing Transportation and Logistics Energy and Utilities Healthcare and Life Sciences Education and Government Others Regional Outlook This section of the report provides key insights regarding various regions and the key players operating in each region. Economic, social, environmental, technological, and political factors have been taken into consideration while assessing the growth of the particular region/country. The readers will also get their hands on the revenue data of each region and country for the period 2018-2029. The market has been segmented into various major geographies, including North America, Europe, Asia-Pacific, South America, Middle East & Africa. Detailed analysis of major countries such as the USA, Germany, the U.K., Italy, France, China, Japan, South Korea, Southeast Asia, and India will be covered within the regional segment. For market estimates, data are going to be provided for 2022 because of the base year, with estimates for 2023 and forecast revenue for 2029. North America United States Canada Europe Germany France UK Italy Russia Nordic Countries Rest of Europe Asia-Pacific China Japan South Korea Southeast Asia India Australia Rest of Asia Latin America Mexico Brazil Rest of Latin America Middle East & Africa Turkey Saudi Arabia UAE Rest of MEA Key Drivers & Barriers High-impact rendering factors and drivers have been studied in this report to aid the readers to understand the general development. Moreover, the report includes restraints and challenges that may act as stumbling blocks on the way of the players. This will assist the users to be attentive and make informed decisions related to business. Specialists have also laid their focus on the upcoming business prospects. COVID-19 and Russia-Ukraine War Influence Analysis The readers in the section will understand how the Predictive Maintenance In Manufacturing market scenario changed across the globe during the pandemic, post-pandemic and Russia-Ukraine War. The study is done keeping in view the changes in aspects such as demand, consumption, transportation, consumer behavior, supply chain management. The industry experts have also highlighted the key factors that will help create opportunities for players and stabilize the overall industry in the years to come. Reasons to Buy This Report This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global Predictive Maintenance In Manufacturing market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market. This report will help stakeholders to understand the global industry status and trends of Predictive Maintenance In Manufacturing and provides them with information on key market drivers, restraints, challenges, and opportunities. This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in volume and value), competitor ecosystem, new product development, expansion, and acquisition. This report stays updated with novel technology integration, features, and the latest developments in the market This report helps stakeholders to understand the COVID-19 and Russia-Ukraine War Influence on the Predictive Maintenance In Manufacturing industry. This report helps stakeholders to gain insights into which regions to target globally This report helps stakeholders to gain insights into the end-user perception concerning the adoption of Predictive Maintenance In Manufacturing. This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution. Core Chapters Chapter 1: Research objectives, research methods, data sources, data cross-validation; Chapter 2: Introduces the report scope of the report, executive summary of different market segments (product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term. Chapter 3: Provides the analysis of various market segments product types, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments. Chapter 4: Provides the analysis of various market segments application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets. Chapter 5: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry. Chapter 6: Detailed analysis of Predictive Maintenance In Manufacturing companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc. Chapter 7, 8, 9, 10, 11: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world. Chapter 12: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc. Chapter 13: The main points and conclusions of the report. Frequently Asked Questions What factors will challenge the Product Name market growth? Which end-use segment will expand at the fastest CAGR in the Product Name market? Which are the emerging players in the Product Name market? How concentrated is the Product Name market? Which factors are positively contributing to the Product Name market growth? Which are the novel product innovations in the Product Name market? Which product segment will emerge as the most lucrative in the Product Name market? Which factors are increasing the competition in the Product Name market? Which are the strategic measures taken by the Product Name industry players? Which region will witness inactive growth during the forecast period? What key trends are likely to emerge in the Product Name market in the coming years?
1 Preface 1.1 Scope of Report 1.2 Reasons for Doing This Study 1.3 Research Methodology 1.4 Research Process 1.5 Data Source 1.5.1 Secondary Sources 1.5.2 Primary Sources 2 Market Overview 2.1 Product Definition 2.2 Predictive Maintenance In Manufacturing by Type 2.2.1 Market Value Comparison by Type (2018 VS 2022 VS 2029) 1.2.2 Cloud Based 1.2.3 On-premises 2.3 Predictive Maintenance In Manufacturing by Application 2.3.1 Market Value Comparison by Application (2018 VS 2022 VS 2029) 2.3.2 Industrial and Manufacturing 2.3.3 Transportation and Logistics 2.3.4 Energy and Utilities 2.3.5 Healthcare and Life Sciences 2.3.6 Education and Government 2.3.7 Others 2.4 Assumptions and Limitations 3 Predictive Maintenance In Manufacturing Breakdown Data by Type 3.1 Global Predictive Maintenance In Manufacturing Historic Market Size by Type (2018-2023) 3.2 Global Predictive Maintenance In Manufacturing Forecasted Market Size by Type (2023-2028) 4 Predictive Maintenance In Manufacturing Breakdown Data by Application 4.1 Global Predictive Maintenance In Manufacturing Historic Market Size by Application (2018-2023) 4.2 Global Predictive Maintenance In Manufacturing Forecasted Market Size by Application (2018-2023) 5 Global Growth Trends 5.1 Global Predictive Maintenance In Manufacturing Market Perspective (2018-2029) 5.2 Global Predictive Maintenance In Manufacturing Growth Trends by Region 5.2.1 Global Predictive Maintenance In Manufacturing Market Size by Region: 2018 VS 2022 VS 2029 5.2.2 Predictive Maintenance In Manufacturing Historic Market Size by Region (2018-2023) 5.2.3 Predictive Maintenance In Manufacturing Forecasted Market Size by Region (2024-2029) 5.3 Predictive Maintenance In Manufacturing Market Dynamics 5.3.1 Predictive Maintenance In Manufacturing Industry Trends 5.3.2 Predictive Maintenance In Manufacturing Market Drivers 5.3.3 Predictive Maintenance In Manufacturing Market Challenges 5.3.4 Predictive Maintenance In Manufacturing Market Restraints 6 Market Competitive Landscape by Players 6.1 Global Top Predictive Maintenance In Manufacturing Players by Revenue 6.1.1 Global Top Predictive Maintenance In Manufacturing Players by Revenue (2018-2023) 6.1.2 Global Predictive Maintenance In Manufacturing Revenue Market Share by Players (2018-2023) 6.2 Global Predictive Maintenance In Manufacturing Industry Players Ranking, 2021 VS 2022 VS 2023 6.3 Global Key Players of Predictive Maintenance In Manufacturing Head office and Area Served 6.4 Global Predictive Maintenance In Manufacturing Players, Product Type & Application 6.5 Global Predictive Maintenance In Manufacturing Players, Date of Enter into This Industry 6.6 Global Predictive Maintenance In Manufacturing Market CR5 and HHI 6.7 Global Players Mergers & Acquisition 7 North America 7.1 North America Predictive Maintenance In Manufacturing Market Size (2018-2029) 7.2 North America Predictive Maintenance In Manufacturing Market Growth Rate by Country: 2018 VS 2022 VS 2029 7.3 North America Predictive Maintenance In Manufacturing Market Size by Country (2018-2023) 7.4 North America Predictive Maintenance In Manufacturing Market Size by Country (2024-2029) 7.5 United States 7.6 Canada 8 Europe 8.1 Europe Predictive Maintenance In Manufacturing Market Size (2018-2029) 8.2 Europe Predictive Maintenance In Manufacturing Market Growth Rate by Country: 2018 VS 2022 VS 2029 8.3 Europe Predictive Maintenance In Manufacturing Market Size by Country (2018-2023) 8.4 Europe Predictive Maintenance In Manufacturing Market Size by Country (2024-2029) 7.4 Germany 7.5 France 7.6 U.K. 7.7 Italy 7.8 Russia 7.9 Nordic Countries 9 Asia-Pacific 9.1 Asia-Pacific Predictive Maintenance In Manufacturing Market Size (2018-2029) 9.2 Asia-Pacific Predictive Maintenance In Manufacturing Market Growth Rate by Country: 2018 VS 2022 VS 2029 9.3 Asia-Pacific Predictive Maintenance In Manufacturing Market Size by Country (2018-2023) 9.4 Asia-Pacific Predictive Maintenance In Manufacturing Market Size by Country (2024-2029) 8.4 China 8.5 Japan 8.6 South Korea 8.7 Southeast Asia 8.8 India 8.9 Australia 10 Latin America 10.1 Latin America Predictive Maintenance In Manufacturing Market Size (2018-2029) 10.2 Latin America Predictive Maintenance In Manufacturing Market Growth Rate by Country: 2018 VS 2022 VS 2029 10.3 Latin America Predictive Maintenance In Manufacturing Market Size by Country (2018-2023) 10.4 Latin America Predictive Maintenance In Manufacturing Market Size by Country (2024-2029) 9.4 Mexico 9.5 Brazil 11 Middle East & Africa 11.1 Middle East & Africa Predictive Maintenance In Manufacturing Market Size (2018-2029) 11.2 Middle East & Africa Predictive Maintenance In Manufacturing Market Growth Rate by Country: 2018 VS 2022 VS 2029 11.3 Middle East & Africa Predictive Maintenance In Manufacturing Market Size by Country (2018-2023) 11.4 Middle East & Africa Predictive Maintenance In Manufacturing Market Size by Country (2024-2029) 10.4 Turkey 10.5 Saudi Arabia 10.6 UAE 12 Players Profiled 11.1 IBM 11.1.1 IBM Company Detail 11.1.2 IBM Business Overview 11.1.3 IBM Predictive Maintenance In Manufacturing Introduction 11.1.4 IBM Revenue in Predictive Maintenance In Manufacturing Business (2017-2022) 11.1.5 IBM Recent Development 11.2 Microsoft 11.2.1 Microsoft Company Detail 11.2.2 Microsoft Business Overview 11.2.3 Microsoft Predictive Maintenance In Manufacturing Introduction 11.2.4 Microsoft Revenue in Predictive Maintenance In Manufacturing Business (2017-2022) 11.2.5 Microsoft Recent Development 11.3 SAP 11.3.1 SAP Company Detail 11.3.2 SAP Business Overview 11.3.3 SAP Predictive Maintenance In Manufacturing Introduction 11.3.4 SAP Revenue in Predictive Maintenance In Manufacturing Business (2017-2022) 11.3.5 SAP Recent Development 11.4 GE Digital 11.4.1 GE Digital Company Detail 11.4.2 GE Digital Business Overview 11.4.3 GE Digital Predictive Maintenance In Manufacturing Introduction 11.4.4 GE Digital Revenue in Predictive Maintenance In Manufacturing Business (2017-2022) 11.4.5 GE Digital Recent Development 11.5 Schneider 11.5.1 Schneider Company Detail 11.5.2 Schneider Business Overview 11.5.3 Schneider Predictive Maintenance In Manufacturing Introduction 11.5.4 Schneider Revenue in Predictive Maintenance In Manufacturing Business (2017-2022) 11.5.5 Schneider Recent Development 11.6 Hitachi 11.6.1 Hitachi Company Detail 11.6.2 Hitachi Business Overview 11.6.3 Hitachi Predictive Maintenance In Manufacturing Introduction 11.6.4 Hitachi Revenue in Predictive Maintenance In Manufacturing Business (2017-2022) 11.6.5 Hitachi Recent Development 11.7 Siemens 11.7.1 Siemens Company Detail 11.7.2 Siemens Business Overview 11.7.3 Siemens Predictive Maintenance In Manufacturing Introduction 11.7.4 Siemens Revenue in Predictive Maintenance In Manufacturing Business (2017-2022) 11.7.5 Siemens Recent Development 11.8 Intel 11.8.1 Intel Company Detail 11.8.2 Intel Business Overview 11.8.3 Intel Predictive Maintenance In Manufacturing Introduction 11.8.4 Intel Revenue in Predictive Maintenance In Manufacturing Business (2017-2022) 11.8.5 Intel Recent Development 11.9 RapidMiner 11.9.1 RapidMiner Company Detail 11.9.2 RapidMiner Business Overview 11.9.3 RapidMiner Predictive Maintenance In Manufacturing Introduction 11.9.4 RapidMiner Revenue in Predictive Maintenance In Manufacturing Business (2017-2022) 11.9.5 RapidMiner Recent Development 11.10 Rockwell Automation 11.10.1 Rockwell Automation Company Detail 11.10.2 Rockwell Automation Business Overview 11.10.3 Rockwell Automation Predictive Maintenance In Manufacturing Introduction 11.10.4 Rockwell Automation Revenue in Predictive Maintenance In Manufacturing Business (2017-2022) 11.10.5 Rockwell Automation Recent Development 11.11 Software AG 11.11.1 Software AG Company Detail 11.11.2 Software AG Business Overview 11.11.3 Software AG Predictive Maintenance In Manufacturing Introduction 11.11.4 Software AG Revenue in Predictive Maintenance In Manufacturing Business (2017-2022) 11.11.5 Software AG Recent Development 11.12 Cisco 11.12.1 Cisco Company Detail 11.12.2 Cisco Business Overview 11.12.3 Cisco Predictive Maintenance In Manufacturing Introduction 11.12.4 Cisco Revenue in Predictive Maintenance In Manufacturing Business (2017-2022) 11.12.5 Cisco Recent Development 11.13 Bosch.IO 11.13.1 Bosch.IO Company Detail 11.13.2 Bosch.IO Business Overview 11.13.3 Bosch.IO Predictive Maintenance In Manufacturing Introduction 11.13.4 Bosch.IO Revenue in Predictive Maintenance In Manufacturing Business (2017-2022) 11.13.5 Bosch.IO Recent Development 11.14 C3.ai 11.14.1 C3.ai Company Detail 11.14.2 C3.ai Business Overview 11.14.3 C3.ai Predictive Maintenance In Manufacturing Introduction 11.14.4 C3.ai Revenue in Predictive Maintenance In Manufacturing Business (2017-2022) 11.14.5 C3.ai Recent Development 11.15 Dell 11.15.1 Dell Company Detail 11.15.2 Dell Business Overview 11.15.3 Dell Predictive Maintenance In Manufacturing Introduction 11.15.4 Dell Revenue in Predictive Maintenance In Manufacturing Business (2017-2022) 11.15.5 Dell Recent Development 11.16 Augury Systems 11.16.1 Augury Systems Company Detail 11.16.2 Augury Systems Business Overview 11.16.3 Augury Systems Predictive Maintenance In Manufacturing Introduction 11.16.4 Augury Systems Revenue in Predictive Maintenance In Manufacturing Business (2017-2022) 11.16.5 Augury Systems Recent Development 11.17 Senseye 11.17.1 Senseye Company Detail 11.17.2 Senseye Business Overview 11.17.3 Senseye Predictive Maintenance In Manufacturing Introduction 11.17.4 Senseye Revenue in Predictive Maintenance In Manufacturing Business (2017-2022) 11.17.5 Senseye Recent Development 11.18 T-Systems International 11.18.1 T-Systems International Company Detail 11.18.2 T-Systems International Business Overview 11.18.3 T-Systems International Predictive Maintenance In Manufacturing Introduction 11.18.4 T-Systems International Revenue in Predictive Maintenance In Manufacturing Business (2017-2022) 11.18.5 T-Systems International Recent Development 11.19 TIBCO Software 11.19.1 TIBCO Software Company Detail 11.19.2 TIBCO Software Business Overview 11.19.3 TIBCO Software Predictive Maintenance In Manufacturing Introduction 11.19.4 TIBCO Software Revenue in Predictive Maintenance In Manufacturing Business (2017-2022) 11.19.5 TIBCO Software Recent Development 11.20 Fiix 11.20.1 Fiix Company Detail 11.20.2 Fiix Business Overview 11.20.3 Fiix Predictive Maintenance In Manufacturing Introduction 11.20.4 Fiix Revenue in Predictive Maintenance In Manufacturing Business (2017-2022) 11.20.5 Fiix Recent Development 11.21 Uptake 11.21.1 Uptake Company Detail 11.21.2 Uptake Business Overview 11.21.3 Uptake Predictive Maintenance In Manufacturing Introduction 11.21.4 Uptake Revenue in Predictive Maintenance In Manufacturing Business (2017-2022) 11.21.5 Uptake Recent Development 11.22 Sigma Industrial Precision 11.22.1 Sigma Industrial Precision Company Detail 11.22.2 Sigma Industrial Precision Business Overview 11.22.3 Sigma Industrial Precision Predictive Maintenance In Manufacturing Introduction 11.22.4 Sigma Industrial Precision Revenue in Predictive Maintenance In Manufacturing Business (2017-2022) 11.22.5 Sigma Industrial Precision Recent Development 11.23 Dingo 11.23.1 Dingo Company Detail 11.23.2 Dingo Business Overview 11.23.3 Dingo Predictive Maintenance In Manufacturing Introduction 11.23.4 Dingo Revenue in Predictive Maintenance In Manufacturing Business (2017-2022) 11.23.5 Dingo Recent Development 11.24 Huawei 11.24.1 Huawei Company Detail 11.24.2 Huawei Business Overview 11.24.3 Huawei Predictive Maintenance In Manufacturing Introduction 11.24.4 Huawei Revenue in Predictive Maintenance In Manufacturing Business (2017-2022) 11.24.5 Huawei Recent Development 11.25 ABB 11.25.1 ABB Company Detail 11.25.2 ABB Business Overview 11.25.3 ABB Predictive Maintenance In Manufacturing Introduction 11.25.4 ABB Revenue in Predictive Maintenance In Manufacturing Business (2017-2022) 11.25.5 ABB Recent Development 11.26 AVEVA 11.26.1 AVEVA Company Detail 11.26.2 AVEVA Business Overview 11.26.3 AVEVA Predictive Maintenance In Manufacturing Introduction 11.26.4 AVEVA Revenue in Predictive Maintenance In Manufacturing Business (2017-2022) 11.26.5 AVEVA Recent Development 11.27 SAS 11.27.1 SAS Company Detail 11.27.2 SAS Business Overview 11.27.3 SAS Predictive Maintenance In Manufacturing Introduction 11.27.4 SAS Revenue in Predictive Maintenance In Manufacturing Business (2017-2022) 11.27.5 SAS Recent Development 13 Report Conclusion 14 Disclaimer