2.1.7 Fusion Jet
2.1.8 Selective Deposition Lamination
2.1.9 Laminated Object Manufacturing
2.1.10 Fused Filament Fabrication
2.1.11 Inkjet Printing
2.1.12 Laser Metal Deposition
2.2 Industrial vs. Desktop 3D Printer
2.3 3D Printer Pricing and Order Value Analysis
2.4 3D Printing Raw Material
2.4.1 Polymer
2.4.2 Metals and Alloy
2.4.3 Ceramics
2.4.4 Other Materials
2.5 3D Printing Software and Service
2.5.1 Embedded AI Software
2.6 3D Printing Online Service
2.7 3D Printing Commercial vs. Personal Use

3 Ecosystem and Value Chain Analysis
3.1 3D Printing Value Chain and Elements
3.1.1 Multi-material vs. Mesostructure Material
3.2 Emerging 3D Printing Ecosystem
3.2.1 Object Distribution
3.2.2 Printer Control Systems
3.2.3 Printer Access Networks
3.2.4 IoT and Artificial Intelligence
3.3 3D Printing Competitive Landscape
3.3.1 3D Printer Manufacturers
3.3.2 3D Printing Service Providers
3.3.3 3D Printing Marketplace Providers
3.3.4 3D Printing Application Providers
3.3.5 3D Scanner Manufacturers
3.3.6 3D Printing CAD Software Providers
3.3.7 3D Printing Raw Material providers
3.3.8 3D Printing Network Providers
3.3.9 3D Printing Communities
3.4 3D Printing Vendor Market Share

4 Applications, Use Cases, and Market Outlook
4.1 3D Printing Application
4.2 3D Printing Process
4.3 3D Printing End User Industry
4.4 3D Printing Use Case
4.4.1 Power, Energy, and Engineering Sector
4.4.2 Automotive Sector
4.4.3 Consumer, Retail, and Fashion Sector
4.5 3D Printing Future Market
4.5.1 Accelerate Industry 4.0
4.5.2 Multi-Material and Cheaper 3D Printer
4.5.3 3D Community Modeling
4.5.4 3D PrinTable Consumer Things

5 3D Printing Market Analysis and Forecasts
5.1 Global 3D Printing Market Forecasts 2018 - 2023
5.1.1 Combined 3D Printing Market
5.1.2 3D Printing Market by Segment
5.1.3 3D Printing Market by Technology
5.1.4 3D Printing Market by Use
5.1.5 3D Printing Market by Application Type
5.1.6 3D Printing Market by Process Type
5.1.7 3D Printing Market by Industry Vertical
5.2 Regional 3D Printing Market Forecasts 2018 - 2023
5.2.1 3D Printing Market by Region
5.2.2 North America 3D Printing Market by Hardware, Raw Material, Embedded AI Software, Service, Online Printing Service, Connectivity Technology, Printing Technology, Type of Use, Application Type, Process Type, Industry Vertical, and Leading Countries
5.2.3 Europe 3D Printing Market by Hardware, Raw Material, Embedded AI Software, Service, Online Printing Service, Connectivity Technology, Printing Technology, Type of Use, Application Type, Process Type, Industry Vertical, and Leading Countries
5.2.4 APAC 3D Printing Market by Hardware, Raw Material, Embedded AI Software, Service, Online Printing Service, Connectivity Technology, Printing Technology, Type of Use, Application Type, Process Type, Industry Vertical, and Leading Countries
5.2.5 MEA 3D Printing Market by Hardware, Raw Material, Embedded AI Software, Service, Online Printing Service, Connectivity Technology, Printing Technology, Type of Use, Application Type, Process Type, Industry Vertical, and Leading Countries
5.2.6 Latin America 3D Printing Market by Hardware, Raw Material, Embedded AI Software, Service, Online Printing Service, Connectivity Technology, Printing Technology, Type of Use, Application Type, Process Type, Industry Vertical, and Leading Countries
5.3 3D Printer Unit Shipment Forecasts 2018 - 2023
5.3.1 Combined 3D Printer Unit Shipment
5.3.2 3D Printer Unit Shipment by Printer Type
5.3.3 3D Printer Unit Shipment by Use
5.3.4 3D Printer Unit Shipment by Industry Vertical
5.3.5 3D Printer Unit Shipment by Region
5.4 3D Printing Raw Materials Supply Forecasts 2018 - 2023
5.4.1 Combined 3D Printing Raw Material Supply
5.4.2 3D Printing Raw Material Supply by Type
5.4.3 3D Printing Raw Material Supply by Form
5.4.4 3D Printing Raw Material Supply by Printer Type
5.4.5 3D Printing Raw Material Supply by Industry Vertical
5.4.6 3D Printing Raw Material Supply by Region

6 Company and Solution Analysis
6.1 3D Systems Inc.
6.2 Arcam AB
6.3 Stratasys Ltd.
6.4 Autodesk Inc.
6.5 Hoganas AB
6.6 Organovo Holdings Inc.
6.7 MCOR Technologies Ltd
6.8 Voxeljet AG
6.9 EnvisionTEC Inc.
6.10 EOS GmbH Electro Optical Systems
6.11 ExOne Company
6.12 Ultimaker BV
6.13 Concept Laser GmbH
6.14 Canon Inc.
6.15 Dassault Systemes
6.16 GE Additive
6.17 Hewlett-Packard Development Company L.P.
6.18 Optomec Inc.
6.19 SLM Solutions Group AG
6.20 Solidscape Inc.

7 Conclusions and Recommendations
7.1 3D Printer and Material Providers
7.2 Artificial Intelligence Providers
7.3 Broadband Infrastructure Providers
7.4 Communication Service Providers
7.5 Computing Companies
7.6 Data Analytics Providers
7.7 Networking Equipment Providers
7.8 Networking Security Providers
7.9 Semiconductor Companies
7.10 IoT Suppliers and Service Providers
7.11 Software and Platform Providers
7.12 Automotive Companies

The Big Data Market: Business Case, Market Analysis and Forecasts 2018 - 2023

1 Executive Summary

2 Introduction
2.1 Big Data Overview
2.1.1 Defining Big Data
2.1.2 Big Data Ecosystem
2.1.3 Key Characteristics of Big Data
2.2 Research Background
2.2.1 Scope
2.2.2 Coverage
2.2.3 Company Focus

3 Big Data Challenges and Opportunities
3.1 Securing Big Data Infrastructure
3.1.1 Big Data Infrastructure
3.1.2 Infrastructure Challenges
3.1.3 Big Data Infrastructure Opportunities
3.2 Unstructured Data and the Internet of Things
3.2.1 New Protocols, Platforms, Streaming and Parsing, Software and Analytical Tools
3.2.2 Big Data in IoT will require Lightweight Data Interchange Format
3.2.3 Big Data in IoT will use Lightweight Protocols
3.2.4 Big Data in IoT will need Protocol for Network Interoperability
3.2.5 Big Data in IoT Demands Data Processing on Appropriate Scale

4 Big Data Technology and Business Case
4.1 Big Data Technology
4.1.1 Hadoop
4.1.2 NoSQL
4.1.3 MPP Databases
4.1.4 Others and Emerging Technologies
4.2 Emerging Technologies,Tools, and Techniques
4.2.1 Streaming Analytics
4.2.2 Cloud Technology
4.2.3 Google Search
4.2.4 Customize Analytical Tools
4.2.5 Internet Keywords
4.2.6 Gamification
4.3 Big Data Roadmap
4.4 Market Drivers
4.4.1 Data Volume & Variety
4.4.2 Increasing Adoption of Big Data by Enterprises and Telecom
4.4.3 Maturation of Big Data Software
4.4.4 Continued Investments in Big Data by Web Giants
4.4.5 Business Drivers
4.5 Market Barriers
4.5.1 Privacy and Security: The Big' Barrier
4.5.2 Workforce Re-skilling and Organizational Resistance
4.5.3 Lack of Clear Big Data Strategies
4.5.4 Technical Challenges: Scalability & Maintenance
4.5.5 Big Data Development Expertise

5 Key Sectors for Big Data
5.1 Industrial Internet and Machine-to-Machine
5.1.1 Big Data in M2M
5.1.2 Vertical Opportunities
5.2 Retail and Hospitality
5.2.1 Improving Accuracy of Forecasts and Stock Management
5.2.2 Determining Buying Patterns
5.2.3 Hospitality Use Cases
5.2.4 Personalized Marketing
5.3 Media
5.3.1 Social Media
5.3.2 Social Gaming Analytics
5.3.3 Usage of Social Media Analytics by Other Verticals
5.3.4 Internet Keyword Search
5.4 Utilities
5.4.1 Analysis of Operational Data
5.4.2 Application Areas for the Future
5.5 Financial Services
5.5.1 Fraud Analysis, Mitigation & Risk Profiling
5.5.2 Merchant-Funded Reward Programs
5.5.3 Customer Segmentation
5.5.4 Customer Retention & Personalized Product Offering
5.5.5 Insurance Companies
5.6 Healthcare and Pharmaceutical
5.6.1 Drug Development
5.6.2 Medical Data Analytics
5.6.3 Case Study: Identifying Heartbeat Patterns
5.7 Telecommunications
5.7.1 Telco Analytics: Customer/Usage Profiling and Service Optimization
5.7.2 Big Data Analytic Tools
5.7.3 Speech Analytics
5.7.4 New Products and Services
5.8 Government and Homeland Security
5.8.1 Big Data Research
5.8.2 Statistical Analysis
5.8.3 Language Translation
5.8.4 Developing New Applications for the Public
5.8.5 Tracking Crime
5.8.6 Intelligence Gathering
5.8.7 Fraud Detection and Revenue Generation
5.9 Other Sectors
5.9.1 Aviation
5.9.2 Transportation and Logistics: Optimizing Fleet Usage
5.9.3 Real-Time Processing of Sports Statistics
5.9.4 Education
5.9.5 Manufacturing

6 The Big Data Value Chain
6.1 Fragmentation in the Big Data Value
6.2 Data Acquisitioning and Provisioning
6.3 Data Warehousing and Business Intelligence
6.4 Analytics and Visualization
6.5 Actioning and Business Process Management
6.6 Data Governance

7 Big Data Analytics
7.1 The Role and Importance of Big Data Analytics
7.2 Big Data Analytics Processes
7.3 Reactive vs. Proactive Analytics
7.4 Technology and Implementation Approaches
7.4.1 Grid Computing
7.4.2 In-Database processing
7.4.3 In-Memory Analytics