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Global Predictive Asset Management Manufacturing Analytics Market, By Type (Software, Services), Deployment Model (On-Premises, On-Demand), Industry Vertical (Automotive and Aerospace Manufacturing; Electronics Equipment Manufacturing; Food and Beverages Manufacturing; Chemicals and Materials Manufacturing; Machinery and Industrial Equipment Manufacturing; Pharma and Life Sciences; Paper, Pulp, Plastic, and Rubber Manufacturing; Others), Country (U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa) Industry Trends and Forecast to 2028
Predictive asset management manufacturing analytics market is expected to reach USD 16,761.07 million by 2028 witnessing market growth at a rate of 20.10% in the forecast period of 2021 to 2028. Data Bridge Market Research report on predictive asset management manufacturing analytics market provides analysis and insights regarding the various factors expected to be prevalent throughout the forecasted period while providing their impacts on the market’s growth.
Manufacturing analytics is a statistical instrument that helps to analyse manufacturing data and information in a rule-based way and allows users to better understand the process. It also helps to improve, recognise and enhance best practises. Manufacturing analytics offers access to detect the issue that could impact the product, yield or cost before it occurred.
The growing need for process optimization, increasing adoption of advanced data management strategies across varied manufacturing applications, rising business agility and scalability, rising emergence of industrial internet of things (IIOT), prevalence of self-service access to centrally managed data, surging levels of investment on big data for manufacturing are some of the major as well as vital factors which will likely to augment the growth of the predictive asset management manufacturing analytics market in the projected timeframe of 2021-2028. On the other hand, increasing demand for real-time streaming analytics, prevalence of improved product design and development along with rising cloud adoption trends which will further contribute by generating massive opportunities that will lead to the growth of the predictive asset management manufacturing analytics market in the above mentioned projected timeframe.
Lack of integration with legacy systems, complex system structure along with lower return on investment which will likely to act as market restraints factor for the growth of the predictive asset management manufacturing analytics in the above mentioned projected timeframe. Lack of appropriate analytical skills along with data security and privacy which will become the biggest and foremost challenge for the growth of the market.
This predictive asset management manufacturing analytics market report provides details of new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact of domestic and localised market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on predictive asset management manufacturing analytics market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
Predictive asset management manufacturing analytics market is segmented on the basis of type, deployment model and industry vertical. The growth among segments helps you analyse niche pockets of growth and strategies to approach the market and determine your core application areas and the difference in your target markets.
Predictive asset management manufacturing analytics market is analysed and market size, volume information is provided by country, type, deployment model and industry vertical as referenced above.
The countries covered in the predictive asset management manufacturing analytics market report are U.S., Canada and Mexico in North America, Brazil, Argentina and Rest of South America as part of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe in Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA).
North America will dominate the predictive asset management manufacturing analytics market due to the increasing adoption of advanced technologies along with surging levels of investment for the adoption of big data analytics by manufacturing enterprise and prevalence of majority of vendors in the region while Asia-Pacific region will expect to grow in the forecast period of 2021-2028 due to the rising adoption of advanced technologies among the enterprises.
The country section of the report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.
Predictive asset management manufacturing analytics market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, regional presence, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies’ focus related to predictive asset management manufacturing analytics market.
The major players covered in the predictive asset management manufacturing analytics market report are IBM Corporation; TABLEAU SOFTWARE, LLC; Oracle; SAP SE; Zensar Technologies Ltd.; SAS Institute Inc.; DXC Technology Company; TIBCO Software Inc.; StatSoft Europe; ALTERYX, INC.; 1010data; Sisense Inc.; Wipro Limited; General Electric; BRIDGEi2i Analytics; Cisco; FICO; Microsoft; Civis Analytics; RapidMiner, Inc.; among other domestic and global players. Market share data is available for global, North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America separately. DBMR analysts understand competitive strengths and provide competitive analysis for each competitor separately.
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1 INTRODUCTION
1.1 OBJECTIVES OF THE STUDY
1.2 MARKET DEFINITION
1.3 OVERVIEW OF GLOBAL PREDICTIVE ASSET MANAGEMENT MANUFACTURING ANALYTICS MARKET
1.4 CURRENCY AND PRICING
1.5 LIMITATIONS
1.6 MARKETS COVERED
2 MARKET SEGMENTATION
2.1 KEY TAKEAWAYS
2.2 ARRIVING AT THE GLOBAL PREDICTIVE ASSET MANAGEMENT MANUFACTURING ANALYTICS MARKET
2.2.1 VENDOR POSITIONING GRID
2.2.2 TECHNOLOGY LIFE LINE CURVE
2.2.3 MARKET GUIDE
2.2.4 COMPANY POSITIONING GRID
2.2.5 MULTIVARIATE MODELLING
2.2.6 STANDARDS OF MEASUREMENT
2.2.7 TOP TO BOTTOM ANALYSIS
2.2.8 VENDOR SHARE ANALYSIS
2.2.9 DATA POINTS FROM KEY PRIMARY INTERVIEWS
2.2.10 DATA POINTS FROM KEY SECONDARY DATABASES
2.3 GLOBAL PREDICTIVE ASSET MANAGEMENT MANUFACTURING ANALYTICS MARKET: RESEARCH SNAPSHOT
2.4 ASSUMPTIONS
3 MARKET OVERVIEW
3.1 DRIVERS
3.2 RESTRAINTS
3.3 OPPORTUNITIES
3.4 CHALLENGES
4 EXECUTIVE SUMMARY
5 PREMIUM INSIGHTS
5.1 PESTLE ANALYSIS
5.2 PORTER’S FIVE FORCES MODEL
5.3 MAXIMIZING ASSET WITH PREDICTIVE ASSET MANAGEMENT
5.4 ADVANCED ANALYTICS AND ITS RELEVANCE IN MANUFACTURING INDUSTRY
5.5 VALUE CHAIN ANALYSIS
6 IMPACT OF COVID-19 PANDEMIC ON THE GLOBAL PREDICTIVE ASSET MANAGEMENT MANUFACTURING ANALYTICS MARKET
6.1 ANALYSIS ON IMPACT OF COVID-19 ON THE MARKET
6.2 AFTERMATH OF COVID-19 AND GOVERNMENT INITIATIVE TO BOOST THE MARKET
6.3 STRATEGIC DECISIONS FOR MANUFACTUERS AFTER COVID-19 TO GAIN COMPETITIVE MARKET SHARE
6.4 PRICE IMPACT
6.5 IMPACT ON DEMAND
6.6 IMPACT ON SUPPLY CHAIN
6.7 CONCLUSION
7 GLOBAL PREDICTIVE ASSET MANAGEMENT MANUFACTURING ANALYTICS MARKET, BY TYPE
7.1 OVERVIEW
7.2 SOLUTION
7.3 SERVICES
7.3.1 PROFESSIONAL
7.3.1.1. SUPPORT AND MAINTENANCE
7.3.1.2. TRAINING AND CONSULTING
7.3.1.3. INTEGRATION
7.3.2 MANAGED
8 GLOBAL PREDICTIVE ASSET MANAGEMENT MANUFACTURING ANALYTICS MARKET, BY DEPLOYMENT
8.1 OVERVIEW
8.2 CLOUD
8.3 ON-PREMISES
9 GLOBAL PREDICTIVE ASSET MANAGEMENT MANUFACTURING ANALYTICS MARKET, BY ORGANIZATION SIZE
9.1 OVERVIEW
9.2 SMES
9.3 LARGE ORGANIZATIONS
10 GLOBAL PREDICTIVE ASSET MANAGEMENT MANUFACTURING ANALYTICS MARKET, BY APPLICATION
10.1 OVERVIEW
10.2 REDUCING UNPLANNED DOWNTIME
10.3 IMPROVE ASSET PERFORMANCE
10.4 OPTIMIZE PRODUCTION PROCESSES
10.5 INCREASED REVENUE AND REDUCE COSTS
10.6 OTHERS
11 GLOBAL PREDICTIVE ASSET MANAGEMENT MANUFACTURING ANALYTICS MARKET, BY TECHNOLOGY
11.1 OVERVIEW
11.2 INTERNET OF THINGS (IOT)
11.3 ROBOTIC PROCESS AUTOMATION (RPA)
11.4 MACHINE LEARNING
11.5 ARTIFICIAL INTELLIGENCE
11.6 OTHERS
12 GLOBAL PREDICTIVE ASSET MANAGEMENT MANUFACTURING ANALYTICS MARKET, BY VERTICAL
12.1 OVERVIEW
12.2 AUTOMOTIVE AND AEROSPACE MANUFACTURING
12.2.1 SMES
12.2.2 LARGE ORGANIZATIONS
12.3 ELECTRONICS EQUIPMENT MANUFACTURING
12.3.1 SMES
12.3.2 LARGE ORGANIZATIONS
12.4 FOOD AND BEVERAGES MANUFACTURING
12.4.1 SMES
12.4.2 LARGE ORGANIZATIONS
12.5 CHEMICALS AND MATERIALS MANUFACTURING
12.5.1 SMES
12.5.2 LARGE ORGANIZATIONS
12.6 MACHINERY AND INDUSTRIAL EQUIPMENT MANUFACTURING
12.6.1 SMES
12.6.2 LARGE ORGANIZATIONS
12.7 PHARMA AND LIFE SCIENCES
12.7.1 SMES
12.7.2 LARGE ORGANIZATIONS
12.8 PAPER, PULP, PLASTIC, AND RUBBER MANUFACTURING
12.8.1 SMES
12.8.2 LARGE ORGANIZATIONS
12.9 OTHERS
12.9.1 SMES
12.9.2 LARGE ORGANIZATIONS
13 GLOBAL PREDICTIVE ASSET MANAGEMENT MANUFACTURING ANALYTICS MARKET, BY COUNTRY
Global PREDICTIVE ASSET MANAGEMENT MANUFACTURING ANALYTICS Market, (ALL SEGMENTATION PROVIDED ABOVE IS REPRESENTED IN THIS CHAPTER BY COUNTRY)
13.1 NORTH AMERICA
13.1.1 U.S.
13.1.2 CANADA
13.1.3 MEXICO
13.2 EUROPE
13.2.1 GERMANY
13.2.2 FRANCE
13.2.3 U.K.
13.2.4 ITALY
13.2.5 SPAIN
13.2.6 RUSSIA
13.2.7 TURKEY
13.2.8 BELGIUM
13.2.9 NETHERLANDS
13.2.10 SWITZERLAND
13.2.11 REST OF EUROPE
13.3 ASIA PACIFIC
13.3.1 JAPAN
13.3.2 CHINA
13.3.3 SOUTH KOREA
13.3.4 INDIA
13.3.5 AUSTRALIA AND NEW ZEALAND
13.3.6 SINGAPORE
13.3.7 THAILAND
13.3.8 MALAYSIA
13.3.9 INDONESIA
13.3.10 PHILIPPINES
13.3.11 REST OF ASIA PACIFIC
13.4 SOUTH AMERICA
13.4.1 BRAZIL
13.4.2 ARGENTINA
13.4.3 REST OF SOUTH AMERICA
13.5 MIDDLE EAST AND AFRICA
13.5.1 SOUTH AFRICA
13.5.2 EGYPT
13.5.3 SAUDI ARABIA
13.5.4 U.A.E
13.5.5 ISRAEL
13.5.6 REST OF MIDDLE EAST AND AFRICA
14 GLOBAL PREDICTIVE ASSET MANAGEMENT MANUFACTURING ANALYTICS MARKET,COMPANY LANDSCAPE
14.1 COMPANY SHARE ANALYSIS: GLOBAL
14.2 COMPANY SHARE ANALYSIS: NORTH AMERICA
14.3 COMPANY SHARE ANALYSIS: EUROPE
14.4 COMPANY SHARE ANALYSIS: ASIA-PACIFIC
15 GLOBAL PREDICTIVE ASSET MANAGEMENT MANUFACTURING ANALYTICS MARKET, SWOT AND DBMR ANALYSIS
16 GLOBAL PREDICTIVE ASSET MANAGEMENT MANUFACTURING ANALYTICS MARKET, COMPANY PROFILE
16.1 IBM CORPORATION
16.1.1 COMPANY SNAPSHOT
16.1.2 REVENUE ANALYSIS
16.1.3 GEOGRAPHIC PRESENCE
16.1.4 PRODUCT PORTFOLIO
16.1.5 RECENT DEVELOPMENTS
16.2 ORACLE
16.2.1 COMPANY SNAPSHOT
16.2.2 REVENUE ANALYSIS
16.2.3 GEOGRAPHIC PRESENCE
16.2.4 PRODUCT PORTFOLIO
16.2.5 RECENT DEVELOPMENTS
16.3 SAP SE
16.3.1 COMPANY SNAPSHOT
16.3.2 REVENUE ANALYSIS
16.3.3 GEOGRAPHIC PRESENCE
16.3.4 PRODUCT PORTFOLIO
16.3.5 RECENT DEVELOPMENTS
16.4 TABLEAU SOFTWARE LLC
16.4.1 COMPANY SNAPSHOT
16.4.2 REVENUE ANALYSIS
16.4.3 GEOGRAPHIC PRESENCE
16.4.4 PRODUCT PORTFOLIO
16.4.5 RECENT DEVELOPMENTS
16.5 ZENSAR TECHNOLOGIES LTD.
16.5.1 COMPANY SNAPSHOT
16.5.2 REVENUE ANALYSIS
16.5.3 GEOGRAPHIC PRESENCE
16.5.4 PRODUCT PORTFOLIO
16.5.5 RECENT DEVELOPMENTS
16.6 SAS INSTITUTE INC.
16.6.1 COMPANY SNAPSHOT
16.6.2 REVENUE ANALYSIS
16.6.3 GEOGRAPHIC PRESENCE
16.6.4 PRODUCT PORTFOLIO
16.6.5 RECENT DEVELOPMENTS
16.7 DXC TECHNOLOGY
16.7.1 COMPANY SNAPSHOT
16.7.2 REVENUE ANALYSIS
16.7.3 GEOGRAPHIC PRESENCE
16.7.4 PRODUCT PORTFOLIO
16.7.5 RECENT DEVELOPMENTS
16.8 ALTERYX INC.
16.8.1 COMPANY SNAPSHOT
16.8.2 REVENUE ANALYSIS
16.8.3 GEOGRAPHIC PRESENCE
16.8.4 PRODUCT PORTFOLIO
16.8.5 RECENT DEVELOPMENTS
16.9 SISENSE INC.
16.9.1 COMPANY SNAPSHOT
16.9.2 REVENUE ANALYSIS
16.9.3 GEOGRAPHIC PRESENCE
16.9.4 PRODUCT PORTFOLIO
16.9.5 RECENT DEVELOPMENTS
16.1 WIPRO LIMITED
16.10.1 COMPANY SNAPSHOT
16.10.2 REVENUE ANALYSIS
16.10.3 GEOGRAPHIC PRESENCE
16.10.4 PRODUCT PORTFOLIO
16.10.5 RECENT DEVELOPMENTS
16.11 GENERAL ELECTRIC
16.11.1 COMPANY SNAPSHOT
16.11.2 REVENUE ANALYSIS
16.11.3 GEOGRAPHIC PRESENCE
16.11.4 PRODUCT PORTFOLIO
16.11.5 RECENT DEVELOPMENTS
16.12 CISCO SYSTEMS INC.
16.12.1 COMPANY SNAPSHOT
16.12.2 REVENUE ANALYSIS
16.12.3 GEOGRAPHIC PRESENCE
16.12.4 PRODUCT PORTFOLIO
16.12.5 RECENT DEVELOPMENTS
16.13 MICROSOFT CORPORATION
16.13.1 COMPANY SNAPSHOT
16.13.2 REVENUE ANALYSIS
16.13.3 GEOGRAPHIC PRESENCE
16.13.4 PRODUCT PORTFOLIO
16.13.5 RECENT DEVELOPMENTS
16.14 RAPIDMINDER INC.
16.14.1 COMPANY SNAPSHOT
16.14.2 REVENUE ANALYSIS
16.14.3 GEOGRAPHIC PRESENCE
16.14.4 PRODUCT PORTFOLIO
16.14.5 RECENT DEVELOPMENTS
16.15 FICO
16.15.1 COMPANY SNAPSHOT
16.15.2 REVENUE ANALYSIS
16.15.3 GEOGRAPHIC PRESENCE
16.15.4 PRODUCT PORTFOLIO
16.15.5 RECENT DEVELOPMENTS
16.16 COMPUTER SCIENCE CORPORATION
16.16.1 COMPANY SNAPSHOT
16.16.2 REVENUE ANALYSIS
16.16.3 GEOGRAPHIC PRESENCE
16.16.4 PRODUCT PORTFOLIO
16.16.5 RECENT DEVELOPMENTS
16.17 1010DATA
16.17.1 COMPANY SNAPSHOT
16.17.2 REVENUE ANALYSIS
16.17.3 GEOGRAPHIC PRESENCE
16.17.4 PRODUCT PORTFOLIO
16.17.5 RECENT DEVELOPMENTS
16.18 CIVIS ANALYTICS
16.18.1 COMPANY SNAPSHOT
16.18.2 REVENUE ANALYSIS
16.18.3 GEOGRAPHIC PRESENCE
16.18.4 PRODUCT PORTFOLIO
16.18.5 RECENT DEVELOPMENTS
16.19 CAMBRIDGE ANALYTICS
16.19.1 COMPANY SNAPSHOT
16.19.2 REVENUE ANALYSIS
16.19.3 GEOGRAPHIC PRESENCE
16.19.4 PRODUCT PORTFOLIO
16.19.5 RECENT DEVELOPMENTS
16.2 TERADATA
16.20.1 COMPANY SNAPSHOT
16.20.2 REVENUE ANALYSIS
16.20.3 GEOGRAPHIC PRESENCE
16.20.4 PRODUCT PORTFOLIO
16.20.5 RECENT DEVELOPMENTS
16.21 CODEDATA
16.21.1 COMPANY SNAPSHOT
16.21.2 REVENUE ANALYSIS
16.21.3 GEOGRAPHIC PRESENCE
16.21.4 PRODUCT PORTFOLIO
16.21.5 RECENT DEVELOPMENTS
16.22 SYMPHONY INTERNATIONAL
16.22.1 COMPANY SNAPSHOT
16.22.2 REVENUE ANALYSIS
16.22.3 GEOGRAPHIC PRESENCE
16.22.4 PRODUCT PORTFOLIO
16.22.5 RECENT DEVELOPMENTS
16.23 NEXGEN ASSET MANAGEMENT
16.23.1 COMPANY SNAPSHOT
16.23.2 REVENUE ANALYSIS
16.23.3 GEOGRAPHIC PRESENCE
16.23.4 PRODUCT PORTFOLIO
16.23.5 RECENT DEVELOPMENTS
16.24 CIMCON DIGITAL
16.24.1 COMPANY SNAPSHOT
16.24.2 REVENUE ANALYSIS
16.24.3 GEOGRAPHIC PRESENCE
16.24.4 PRODUCT PORTFOLIO
16.24.5 RECENT DEVELOPMENTS
16.25 ASYSTOM
16.25.1 COMPANY SNAPSHOT
16.25.2 REVENUE ANALYSIS
16.25.3 GEOGRAPHIC PRESENCE
16.25.4 PRODUCT PORTFOLIO
16.25.5 RECENT DEVELOPMENTS
16.26 ENGINEERING USA
16.26.1 COMPANY SNAPSHOT
16.26.2 REVENUE ANALYSIS
16.26.3 GEOGRAPHIC PRESENCE
16.26.4 PRODUCT PORTFOLIO
16.26.5 RECENT DEVELOPMENTS
16.27 YOKOGAWA CORPORATION
16.27.1 COMPANY SNAPSHOT
16.27.2 REVENUE ANALYSIS
16.27.3 GEOGRAPHIC PRESENCE
16.27.4 PRODUCT PORTFOLIO
16.27.5 RECENT DEVELOPMENTS
16.28 SENSEYE LTD.
16.28.1 COMPANY SNAPSHOT
16.28.2 REVENUE ANALYSIS
16.28.3 GEOGRAPHIC PRESENCE
16.28.4 PRODUCT PORTFOLIO
16.28.5 RECENT DEVELOPMENTS
16.29 BRIDGEI2I ANALYTICS
16.29.1 COMPANY SNAPSHOT
16.29.2 REVENUE ANALYSIS
16.29.3 GEOGRAPHIC PRESENCE
16.29.4 PRODUCT PORTFOLIO
16.29.5 RECENT DEVELOPMENTS
16.3 STATSOFT EUROPE
16.30.1 COMPANY SNAPSHOT
16.30.2 REVENUE ANALYSIS
16.30.3 GEOGRAPHIC PRESENCE
16.30.4 PRODUCT PORTFOLIO
16.30.5 RECENT DEVELOPMENTS
17 CONCLUSION
18 QUESTIONNAIRE
19 RELATED REPORTS
20 ABOUT DATA BRIDGE MARKET RESEARCH
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