Brochure More information from http://www.researchandmarkets.com/reports/2744247/ Big Data in Manufacturing: Market Analysis, Case Studies, and Forecasts 2014-2019 Description: The manufacturing industry account for a significant share of GDP globally and represents a large ecosystem. The competition in manufacturing sector worldwide forces companies to get smarter through indepth real time analysis of large datasets produced internally and externally for deep insight and quick decision making. Big Data refers to a massive volume of structured, unstructured and semi-structured data that is so large and difficult to process using traditional computer, database and software techniques. This report evaluates the potential for Big data in manufacturing including analysis of important industry attributes, key players and solutions, and case studies. The report also provides a market outlook and forecasts for 2014 to 2019 for big data. The report culminates with specific recommendations for manufacturers and big data solution providers. Topics Covered in Report: - Big Data Technology: An overview of the advanced technologies that promote big data analytics. - The Case for Big Data in manufacturing: An assessment of the growth drivers and barriers for Big Data in manufacturing. - Business Processes in Manufacturing: Current enterprise applications and big data improvement. - Big Data Vertical Chains and Key Players: A review of vertical chain and key players in big data manufacturing market. - Big Data Market Analysis and Forecast: An assessment of the market size and forecasts for the Big Data market from 2014 to 2019. - Case Studies: Several case studies of using big data in their organizations. - Recommendations: Suggestions to manufacturers who want to deploy big data analytics and to big data suppliers who explore business in this sector. Target Audience: - Big Data companies - Telecom service providers - Big Data application developers - Data services and analytics companies - Cloud and telecom infrastructure providers - Manufacturers and everyone in the supply chain Contents: 1.0 Introduction 1.1 Executive Summary 1.2 Topics Covered 1.3 Key Findings 1.4 Target Audience 1.5 Companies Mentioned 2.0 Introduction 2.1 Defining Big Data 2.2 Key Characteristics Of Big Data
2.2.1 Volume 2.2.2 Variety 2.2.3 Velocity 2.2.4 Veracity 2.2.5 Value 2.3 Big Data Categories 2.3.1 Data Structure 2.3.2 Data Status 2.4 Big Data Technologies 2.4.1 Sensors 2.4.2 Networks Connection 2.4.3 Data Storage 2.4.4 Advanced Computing Systems 2.4.5 Data Analysis Algorithms 2.5 Manufacturing Overview 2.6 Value Chain And Challenges Of Manufacturing 2.7 Market Drivers And Barriers For Big Data Applications In Manufacturing 2.8 Performance Measurement 2.9 Applications & Processes In Manufacturing 2.9.1 Mrp 2.9.2 Scm 2.9.3 Crm 2.9.4 Plm 2.9.5 Aps 2.9.6 Ecc 2.9.7 Tms 2.9.8 Bpm 2.9.9 Erp 2.9.10 Six Sigma 2.9.11 Jit 2.9.12 L2C 3.0 Current State Of Manufacturing 3.1 Realizing Business Value 3.2 Balancing Human Capital And Machine Assets 3.3 Business Drivers For Big Data In Manufacturing 4.0 Analysis Of Key Players Within Vertical Chain 4.1 Vertical Chain 4.1.1 End User - Manufacturer 4.1.2 Data Acquisition & Provisioning 4.1.3 Data Warehousing And Business Intelligence & Data Governance 4.1.4 Analytics And Virtualization 4.1.5 Action And Business Process Management 4.1.6 System Integrator 4.2 Key Players 4.2.1 Manufacturers 4.2.2 Rfid Suppliers 4.2.3 Sensor Suppliers 4.2.4 Big Data Analytics Application Providers 4.2.5 Big Data System Integrators 5.0 Big Data In Manufacturing Market Analysis 2014-2019 5.1 Big Data Generation Forecast In Manufacturing 5.2 Big Data Investment Trends In Manufacturing 5.3 Big Data Revenue Forecast In Manufacturing 5.4 Manufacturing Industry Analysis 5.4.1 Electronics Manufacturing 5.4.2 Automobile Manufacturing 5.4.3 Aerospace And Defense Manufacturing
5.4.4 Chemical & Pharmaceutical Manufacturing 5.4.5 Metalworking Manufacturing 5.4.6 Food And Beverage Manufacturing 5.4.7 Clothing And Textile Manufacturing 5.4.8 Energy Manufacturing 5.4.9 Pulp And Paper Manufacturing 5.4.10 Machinery Manufacturing 5.4.11 Furniture Manufacturing 5.4.12 Other Manufacturing 6.0 Case Studies 6.1 Big Data In Ford Motor 6.2 Coca Cola'S Operational Improvements Driven By Big Data 6.3 Big Data In Global Aerospace Manufacturer 6.4 Estee Lauder And Data Visualization 6.5 Cisco Identifies Another Use For Big Data 7.0 Conclusions And Recommendations 7.1 Recommendations To Manufacturers 7.2 Recommendations To Big Data Suppliers List of Figures Figure 1: Samsung Internal Value Chain Figure 2: Measurement Pyramid Figure 3: United States Manufacturing Figure 4: Areas Of Greatest Benefit For Manufacturing Operations Figure 5: Big Data Generation Forecast 2014-2019 Figure 6: Big Data Market Revenue Forecast 2014-2019 Figure 7: Market Share Of Big Data In Manufacturing Forecast 2014-2019 Figure 8: Big Data Revenue By Type In Manufacturing Forecast 2014-2019 Figure 9: Market Share By Manufacturing Industries In 2019 List of Tables Table 1: Top 8 Countries' Value-Added In Manufacturing In Gdp 2008-2012 Ordering: Order Online - http://www.researchandmarkets.com/reports/2744247/ Order by Fax - using the form below Order by Post - print the order form below and send to Research and Markets, Guinness Centre, Taylors Lane, Dublin 8,
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