Big Data Market

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Big Data Market by Leading Companies, Solutions, Use Cases, Infrastructure, Data Integration, IoT Support, Deployment Model and Services in Industry Verticals 2020 – 2026

This report provides an assessment of the global big data market, including business case issues/analysis, application use cases, vendor landscape, value chain analysis, and a quantitative assessment of the industry with forecasting from 2021 to 2026. The report also evaluates the components of big data infrastructure and security framework. It also includes analysis and forecasts for streaming data analytics. IoT facilitates vast amounts of fast-moving data from sensors and devices.



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    Description

    The big data market consists of infrastructure providers, data centers, data as a service providers, and other vendors. Solutions for managing unstructured data are evolving beyond systems aligned towards primarily human-generated data (such as social networking, messaging, and browsing habits) towards increasingly greater emphasis upon machine-generated data found across many industry verticals.

    For example, manufacturing and healthcare are anticipated to create massive amounts of data that may be rendered useful only through advanced analytics and various Artificial Intelligence (AI) technologies such as machine learning and cognitive computing. The long-term prospect for these technologies is that they will become embedded in many different other technologies and provide autonomous decision making on behalf of humans, both directly, and indirectly through many processes, products, and services.

    Big Data Market Dynamics

    Emerging networks and systems such as IoT and edge computing will generate substantial amounts of unstructured data, which will present both technical challenges and market opportunities for operating companies and their vendors. Emerging big data tools such as open APIs much be implemented to facilitate data capture and processing with the ability to perform localized processing and decision making.

    Big data solution provider dynamics are evolving almost as much as the data management technologies themselves.  While some companies rely upon proprietary solutions, many leading companies such as Hortonworks and Cloudera offer products and services primarily based on open source Apache Hadoop technology.  One important distinction between market leaders is collaboration vs. competition.  For example, Cloudera competes with IBM, Microsoft and others in data science and AI whereas Hortonworks partners with these companies.

    The big data market is experiencing profound changes across the entire technology stack including infrastructure, security, analytics, and the application layer. Mind Commerce sees the data services industry as whole shifting from host-based network topologies to cloud-based, data-centric architectures, thereby creating enormous challenges and opportunities for transitioning and securing data systems.  In concert with this shift, big data infrastructure will require strategic governance and framework for optimized security.

    In terms of big data integration with cloud-based infrastructure, cloud solutions allow companies that previously required large investments into hardware to store data to do the same through the cloud at a lower cost. Companies save not only money, but physical space where this hardware was previously stored. The trend to migrate to big data technologies is driven by the need for additional information derivable from analysis of all of the electronic data available to a business.

    Advanced analytics provide the ability to make raw data meaningful and useful as information for decision-making purposes. AI enhances the ability for big data analytics and IoT platforms to provide value to each of these market segments. AI facilitates the efficient and effective supply of information to enterprises for optimized business decision-making. Some of the biggest opportunity areas are commercial applications, search in the big data environment, and mobility control for generation of actionable business intelligence. The use of AI for decision making in IoT and data analytics (e.g. AIoT) will be crucial for efficient and effective decision making, especially in the area of streaming data and real-time analytics associated with edge computing networks.

    The ability to capture streaming data, determine valuable attributes, and make decisions in real-time will add an entirely new dimension to service logic. In many cases, the data itself, and actionable information will be the service. However, real-time data is anticipated to become a highly valuable aspect of all solutions as a determinant of user behavior, application effectiveness, and identifier of new and enhanced mobile/wireless and/or IoT related apps and services. Mind Commerce sees the AIoT market both benefitting from and supporting the big data market.

    Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR) are perhaps best known as data intensive immersive technologies that require high bandwidth for operations. One of the least evaluated opportunities is the market opportunities associated with visualizing data and information in AR, VR, and MR environments. Much of this data will be unstructured, requiring big data analytics tools to process, categorize, and display in a meaningful manner. This will allow the end user to visualize and utilize information in ways previously inconceivable. Mind Commerce sees the virtual reality market both benefiting from and supporting the big data market.

    In addition, Mind Commerce sees leading data management companies developing tools for improved general data visualization, facilitating improved information interpretation and decision making. Coupled with AI and cognitive computing, the field of advanced data visualization and analytics known as augmented analytics is transforming otherwise useless data into highly valuable and actionable smart data, often enabling dynamic decision making that may positively impact business operations as processes, transactions, and other events occur. Much of this smart data will monetized in a data-as-a-service (DaaS market) approach by enterprise thanks to leading big data service and DaaS solutions.

    Big Data Market for Industry Verticals

    Industry verticals of various types have challenges in capturing, organizing, storing, searching, sharing, transferring, analyzing and using data to improve business. The big data market is making a substantial impact in certain industries such as the healthcare, industrial, transportation, and retail sectors. Every large corporation collects and maintains a huge amount of data associated with its customers including their preferences, purchases, habits, travels, and other personal information. In addition to the large volume, much of this data is unstructured, making it hard to manage.

    Big data technology will help financial institutions maximize the value of data and gain competitive advantage, minimize costs, convert challenges to opportunities, and minimize risk in real-time. As an example in the transportation industry, real-time applications can match loads to a vehicle’s capacity using data analytics. Big data market solutions for transport organizations enable analytics necessary to provide shipping and delivery companies with real-time notifications and updates to increase efficiency and accuracy.

    Big data technologies provide financial services firms with the capability to capture and analyze data, build predictive models, back-test and simulate scenarios. Through iteration, firms will determine the most important variables and also key predictive models. Financial firms are increasingly migrating their data and analytics to the cloud, leading to reduced cost, better data management, and better customer service. Data and insights can also be transferred far quicker than before, allowing representatives to provide customers with real-time data backed insights.

    Healthcare services can be applied more accurately with big data. Decisions based on real-time data and assistance from AI/ML solutions. Private health insurance providers can gain access to previously inaccessible information and databases through big data. Healthcare customer service processes can also be streamlined while providing personalized more personalized medical care to individuals. Mind Commerce sees certain vendors developing highly customized, yet scalable, big data market solutions for healthcare service providers.

    Big data market analytics solutions allow retail companies to examine and interact with their audience online in new ways. Predictive analytics can analyze a consumer’s activity and recommend suggested items to them. Once a consumer has purchased from a company, big data can help retain that customer by better understanding what a person wants. For example, Amazon collects all its customers’ data to provide a personalized experience, earning up to 35% of its revenue from its customers’ data.

    Customer Relationship Management (CRM) is a model of managing relationship and interaction between company and customer. This includes using technology for organizing, automating, and synchronizing all customer-related information like sales, marketing, services, support and more. Big data market software and services represent a sizable business opportunity for analytics service providers and it is poised to do more than just improve existing CRM processes and procedures. Big data is anticipated to uncover completely new ways of servicing customers.

    Modern supply chains represent complex systems of organizations, people, activities, information, and resources involved in moving a product or service from supplier to customer. Data analytics is useful for Supply Chain Management (SCM) because it can analyze a variety of variables across a business’ operations. SCM service providers use advanced analytics and other big dat market solutions to analyze materials, products in inventory and imports/exports to better understand needs. This helps a business to manage its assets better, saving time and money. Data analytics can predict future risks based on history and a large set of data.

    Big Data Market Report

    This report provides an in-depth assessment of the global big data market, including business case issues/analysis, application use cases, vendor landscape, value chain analysis, and a quantitative assessment of the industry with forecasting from 2021 to 2026.  This report also evaluates the components of big data infrastructure and security framework.  Additional topics covered in this report include:

    • Big Data Technology: Analysis of infrastructure and important issues such as security and privacy
    • Big Data Use Cases: A review of investments sectors and specific use cases for the Big Data market
    • The Big Data Value Chain: An analysis of the value chain of Big Data and the major players involved within it
    • The Business Case for Big Data: An assessment of the business case, growth drivers and barriers for Big Data
    • Big Data Vendor Assessment: Assessment of the vendor landscape of leading players within the Big Data market
    • Market Analysis and Forecasts: Global and regional assessment of the market size and forecasts for 2021 to 2026

    This report also evaluates the components of big data infrastructure and security framework. This report also provides analysis of leading big data solutions with key metrics such as streaming IoT data analytics revenue for leading providers such as Teradata, IBM, Oracle, SAS and Datameter. The report evaluates, compares and contrasts vendors, and provides a vendor ranking matrix. Analysis takes into consideration solutions integrating both structured and unstructured data.

    Additional information

    Published

    2021

    Pages

    314

    Target Audience

    AI Companies, Big Data and Analytics Companies, Cloud and Internet of Things Companies, Data Management Companies, ICT Infrastructure Providers

    License Type

    , , ,

    Select Findings

    • Big data in SCM will exceed $6.6B globally by 2026
    • Data integration and quality tools $9.9B globally by 2026
    • Enterprise performance analytics will reach $27.8B globally by 2026
    • Big data in business intelligence applications will reach $50.4B by 2026
    • Combination of AI and IoT (AIoT) will rely upon advanced big data analytics software
    • Real-time data will be a key value proposition for all use cases, segments, and solutions
    • Global market for big data application infrastructure and middleware will reach $9.1B by 2026
    • North American market for hosted big data solutions will reach $11.5B by 2026 with CAGR of 42.3%
    • Market leading companies are rapidly integrating big data technologies with IoT infrastructure and services
    • IoT streaming data analytics becomes a substantial big data software and services revenue opportunity by 2024
    • Global market for streaming IoT data analytics software and services will reach $2.3B and $2.9B respectively by 2026

    Report Benefits

    • Detailed forecasts 2021 – 2026
    • Identify leading market segments
    • Learn about Big Data technologies
    • Identify key players and strategies
    • Understand market drivers and barriers
    • Identify opportunities in IoT data analytics
    • Understand regulatory issues and initiatives
    • Understand business case for enterprise Big Data

    Companies in Report

    • 1010Data
    • Accenture
    • Actian Corporation
    • AdvancedMD
    • Alation
    • Allscripts Healthcare Solutions
    • Alpine Data Labs
    • Alteryx
    • Amazon
    • Anova Data
    • Apache Software Foundation
    • Apple Inc.
    • APTEAN
    • AthenaHealth Inc.
    • Attunity
    • BGI
    • Big Panda
    • Bina Technologies Inc.
    • Booz Allen Hamilton
    • Bosch
    • Capgemini
    • Cerner Corporation
    • Cisco Systems
    • CLC Bio
    • Cloudera
    • Cogito Ltd.
    • Computer Science Corporation
    • Compuverde
    • CRAY Inc.
    • Crux Informatics
    • Ctrl Shift
    • Cvidya
    • Cybatar
    • Data Inc.
    • Data Stax
    • Databricks
    • DataDirect Network
    • Dataiku
    • Datameer
    • Definiens
    • Dell EMC
    • Deloitte
    • Domo
    • eClinicalWorks
    • Epic Systems Corporation
    • Facebook
    • Fluentd
    • Flytxt
    • Fujitsu
    • Genalice
    • General Electric
    • GenomOncology
    • GoodData Corporation
    • Google
    • Greenplum
    • Grid Gain Systems
    • Groundhog Technologies
    • Guavus
    • Hack/reduce
    • Hitachi Data Systems
    • Hortonworks
    • HP Enterprise
    • HPCC Systems
    • IBM
    • Illumina Inc
    • Imply Corporation
    • Industry Connectivity Consortium
    • Informatica
    • Intel
    • Inter Systems Corporation
    • Jasper (Cisco Jasper)
    • Juniper Networks
    • Knome,Inc.
    • Leica Biosystems (Danaher)
    • Longview
    • MapR
    • Marklogic
    • Mayo Medical Laboratories
    • McKesson Corporation
    • Medical Information Technology Inc.
    • Medio
    • Medopad
    • Microsoft
    • Microstrategy
    • MongoDB (Formerly 10Gen)
    • MU Sigma
    • Netapp
    • N-of-One
    • NTT Data
    • Open Text (Actuate Corporation)
    • Opera Solutions
    • Oracle
    • Palantir Technologies Inc.
    • Pathway Genomics Corporation
    • Pentaho (Hitachi)
    • Perkin Elmer
    • Platfora
    • Qlik Tech
    • Quality Systems Inc.
    • Quantum
    • Quertle
    • Quest Diagnostics Inc.
    • Rackspace
    • Red Hat
    • Revolution Analytics
    • Roche Diagnostics
    • Rocket Fuel Inc.
    • Salesforce
    • SAP
    • SAS Institute
    • Selventa Inc.
    • Sense Networks
    • Shanghai Data Exchange
    • Sisense
    • Social Cops
    • Software AG/Terracotta
    • Sojern
    • Splice Machine
    • Splunk
    • Sqrrl
    • Sumo Logic
    • Sunquest Information Systems
    • Supermicro
    • Tableau
    • Tableau Software
    • Tata Consultancy Services
    • Teradata
    • ThetaRay
    • Think Big Analytics
    • Thoughtworks
    • TIBCO
    • Tube Mogul
    • Verint Systems
    • VMware
    • VolMetrix
    • Wipro
    • Workday (Platfora)
    • WuXi NextCode Genomics
    • Zoomdata

    Table of Contents

    1.0 Executive Summary
    2.0 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
    2.1.3.1 Volume
    2.1.3.2 Variety
    2.1.3.3 Velocity
    2.1.3.4 Variability
    2.1.3.5 Complexity
    2.2 Research Background
    2.2.1 Scope
    2.2.2 Coverage
    2.2.3 Company Focus
    3.0 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
    3.1.3.1 Securing State Data
    3.1.3.2 Securing APIs
    3.1.3.3 Securing Applications
    3.1.3.4 Securing Data for Analysis
    3.1.3.5 Securing User Privileges
    3.1.3.6 Securing Enterprise Data
    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 and Lightweight Data Interchange Format
    3.2.3 Big Data in IoT and Lightweight Protocols
    3.2.4 Big Data in IoT and Network Interoperability Protocols
    3.2.5 Big Data in IoT Data Processing Scalability
    4.0 Big Data Technologies and Business Cases
    4.1 Big Data Technology
    4.1.1 Hadoop
    4.1.1.1 Other Apache Projects
    4.1.2 NoSQL
    4.1.2.1 Hbase
    4.1.2.2 Cassandra
    4.1.2.3 Mongo DB
    4.1.2.4 Riak
    4.1.2.5 CouchDB
    4.1.3 MPP Databases
    4.1.4 Other Technologies
    4.1.4.1 Storm
    4.1.4.2 Drill
    4.1.4.3 Dremel
    4.1.4.4 SAP HANA
    4.1.4.5 Gremlin & Giraph
    4.2 Emerging Technologies, Tools, and Techniques
    4.2.1 Streaming Analytics
    4.2.2 Cloud Technology
    4.2.3 Search Technologies
    4.2.4 Customizes Analytics Tools
    4.2.5 Keywords Optimization
    4.3 Big Data Roadmap
    4.4 Market Drivers
    4.4.1 Data Volume and 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 The Big Barrier: Privacy and Security Gaps
    4.5.2 Workforce Reskilling and Organizational Resistance
    4.5.3 Lack of Clear Big Data Strategies
    4.5.4 Scalability and Maintenance Technical Challenges
    4.5.5 Big Data Development Expertise
    5.0 Key Big Data Sectors
    5.1 Industrial Automation and Internet of Things
    5.1.1 Big Data in Machine to Machine Solutions
    5.1.2 Vertical Opportunities
    5.2 Retail and Hospitality
    5.2.1 Forecasting and Inventory Management
    5.2.2 Customer Relationship Management
    5.2.3 Determining Buying Patterns
    5.2.4 Hospitality Use Cases
    5.2.5 Personalized Marketing
    5.3 Digital 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
    5.6.1 Drug Development
    5.6.2 Medical Data Analytics
    5.6.3 Case Study: Identifying Heartbeat Patterns
    5.7 Information and Communications Technologies
    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: Administration 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
    5.9.6 Extraction and Natural Resources
    6.0 Big Data Value Chain
    6.1 Fragmentation in the Big Data Value Chain
    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
    7.0 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
    7.4.4 Data Mining
    7.4.5 Predictive Analytics
    7.4.6 Natural Language Processing
    7.4.7 Text Analytics
    7.4.8 Visual Analytics
    7.4.9 Association Rule Learning
    7.4.10 Classification Tree Analysis
    7.4.11 Machine Learning
    7.4.12 Neural Networks
    7.4.13 Multilayer Perceptron
    7.4.14 Radial Basis Functions
    7.4.14.1 Support Vector Machines
    7.4.14.2 Naïve Bayes
    7.4.14.3 K-nearest Neighbors
    7.4.15 Geospatial Predictive Modelling
    7.4.16 Regression Analysis
    7.4.17 Social Network Analysis
    8.0 Standardization and Regulatory Issues
    8.1 Cloud Standards Customer Council
    8.2 National Institute of Standards and Technology
    8.3 OASIS
    8.4 Open Data Foundation
    8.5 Open Data Center Alliance
    8.6 Cloud Security Alliance
    8.7 International Telecommunications Union
    8.8 International Organization for Standardization
    9.0 Big Data in Industry Vertical Applications
    9.1 Big Data Application in Manufacturing
    9.2 Retail Applications
    9.3 Big Data Application: Insurance Fraud Detection
    9.4 Big Data Application: Media and Entertainment Industry
    9.5 Big Data Application: Weather Patterns
    9.6 Big Data Application: Transportation Industry
    9.7 Big Data Application: Education Industry
    9.8 Big Data Application: E-Commerce Personalization
    9.9 Big Data Application: Oil and Gas Industry
    9.10 Big Data Application: Telecommunication Industry
    10.0 Key Big Data Companies and Solutions
    10.1 Vendor Assessment Matrix
    10.2 Competitive Landscape of Major Big Data Vendors
    10.2.1 New Products Developments
    10.2.2 Partnership, Merger, Acquisition, and Collaboration
    10.3 1010Data (ACC)
    10.4 Accenture
    10.5 Actian Corporation
    10.6 AdvancedMD
    10.7 Alation
    10.8 Allscripts Healthcare Solutions
    10.9 Alpine Data Labs
    10.10 Alteryx
    10.11 Amazon
    10.12 Anova Data
    10.13 Apache Software Foundation
    10.14 Apple Inc.
    10.15 APTEAN
    10.16 Athena Health Inc.
    10.17 Attunity
    10.18 Booz Allen Hamilton
    10.19 Bosch
    10.20 BGI
    10.21 Big Panda
    10.22 Bina Technologies Inc.
    10.23 Capgemini
    10.24 Cerner Corporation
    10.25 Cisco Systems
    10.26 CLC Bio
    10.27 Cloudera
    10.28 Cogito Ltd.
    10.29 Compuverde
    10.30 CRAY Inc.
    10.31 Computer Science Corporation
    10.32 Crux Informatics
    10.33 Ctrl Shift
    10.34 Cvidya
    10.35 Cybatar
    10.36 DataDirect Network
    10.37 Data Inc.
    10.38 Databricks
    10.39 Dataiku
    10.40 Datameer
    10.41 Data Stax
    10.42 Definiens
    10.43 Dell EMC
    10.44 Deloitte
    10.45 Domo
    10.46 eClinicalWorks
    10.47 Epic Systems Corporation
    10.48 Facebook
    10.49 Fluentd
    10.50 Flytxt
    10.51 Fujitsu
    10.52 Genalice
    10.53 General Electric
    10.54 GenomOncology
    10.55 GoodData Corporation
    10.56 Google
    10.57 Greenplum
    10.58 Grid Gain Systems
    10.59 Groundhog Technologies
    10.60 Guavus
    10.61 Hack/reduce
    10.62 HPCC Systems
    10.63 HP Enterprise
    10.64 Hitachi Data Systems
    10.65 Hortonworks
    10.66 IBM
    10.67 Illumina Inc
    10.68 Imply Corporation
    10.69 Informatica
    10.70 Inter Systems Corporation
    10.71 Intel
    10.72 IVD Industry Connectivity Consortium-IICC
    10.73 Jasper (Cisco)
    10.74 Juniper Networks
    10.75 Knome,Inc.
    10.76 Leica Biosystems (Danaher)
    10.77 Longview
    10.78 MapR
    10.79 Marklogic
    10.80 Mayo Medical Laboratories
    10.81 McKesson Corporation
    10.82 Medical Information Technology Inc.
    10.83 Medio
    10.84 Medopad
    10.85 Microsoft
    10.86 Microstrategy
    10.87 MongoDB
    10.88 MU Sigma
    10.89 N-of-One
    10.90 Netapp
    10.91 NTT Data
    10.92 Open Text (Actuate Corporation)
    10.93 Opera Solutions
    10.94 Oracle
    10.95 Palantir Technologies Inc.
    10.96 Pathway Genomics Corporation
    10.97 Perkin Elmer
    10.98 Pentaho (Hitachi)
    10.99 Platfora
    10.100 Qlik Tech
    10.101 Quality Systems Inc.
    10.102 Quantum
    10.103 Quertle
    10.104 Quest Diagnostics Inc.
    10.105 Rackspace
    10.106 Red Hat
    10.107 Revolution Analytics
    10.108 Roche Diagnostics
    10.109 Rocket Fuel Inc.
    10.110 Salesforce
    10.111 SAP
    10.112 SAS Institute
    10.113 Selventa Inc.
    10.114 Sense Networks
    10.115 Shanghai Data Exchange
    10.116 Sisense
    10.117 Social Cops
    10.118 Software AG/Terracotta
    10.119 Sojern
    10.120 Splice Machine
    10.121 Splunk
    10.122 Sqrrl
    10.123 Sumo Logic
    10.124 Sunquest Information Systems
    10.125 Supermicro
    10.126 Tableau Software
    10.127 Tableau
    10.128 Tata Consultancy Services
    10.129 Teradata
    10.130 ThetaRay
    10.131 Thoughtworks
    10.132 Think Big Analytics
    10.133 TIBCO
    10.134 Tube Mogul
    10.135 Verint Systems
    10.136 VolMetrix
    10.137 VMware
    10.138 Wipro
    10.139 Workday (Platfora)
    10.140 WuXi NextCode Genomics
    10.141 Zoomdata
    11.0 Overall Big Data Market Analysis and Forecasts 2021 – 2026
    11.1 Global Big Data Marketplace
    11.2 Big Data Market by Solution Type
    11.3 Regional Big Data Market
    12.0 Big Data Market Segment Analysis and Forecasts 2021 – 2026
    12.1 Big Data Market by Management Utilities 2021 – 2026
    12.1.1 Market for General Use Analytics Servers and related Hardware 2021 – 2026
    12.1.2 Market for Big Data Application Infrastructure and Middleware 2021 – 2026
    12.1.3 Market for Data Integration Tools and Data Quality Tools 2021 – 2026
    12.1.4 Big Data Market for Database Management Systems 2021 – 2026
    12.1.5 Big Data Market for Storage Management 2021 – 2026
    12.2 Big Data Market by Functional Segment 2021 – 2026
    12.2.1 Big Data in Supply Chain Management 2021 – 2026
    12.2.2 Big Data in Workforce Analytics 2021 – 2026
    12.2.3 Big Data in Enterprise Performance Analytics 2021 – 2026
    12.2.4 Big Data in Professional Services 2021 – 2026
    12.2.5 Big Data in Business Intelligence 2021 – 2026
    12.2.6 Big Data in Social Media and Content Analytics 2021 – 2026
    12.3 Market for Big Data in Emerging Technologies 2021 – 2026
    12.3.1 Big Data in Internet of Things 2021 – 2026
    12.3.2 Big Data in Smart Cities 2021 – 2026
    12.3.3 Big Data in Blockchain and Cryptocurrency 2021 – 2026
    12.3.4 Big Data in Augmented and Virtual Reality 2021 – 2026
    12.3.5 Big Data in Cybersecurity 2021 – 2026
    12.3.6 Big Data in Smart Assistants 2021 – 2026
    12.3.7 Big Data in Cognitive Computing 2021 – 2026
    12.3.8 Big Data in Customer Relationship Management 2021 – 2026
    12.3.9 Big Data in Spatial Information 2021 – 2026
    12.4 Big Data Market by Industry Type 2021 – 2026
    12.5 Regional Big Data Markets 2021 – 2026
    12.5.1 North America Market for Big Data 2021 – 2026
    12.5.2 South American Market for Big Data 2021 – 2026
    12.5.3 Western European Market for Big Data 2021 – 2026
    12.5.4 Central and Eastern European Market for Big Data 2021 – 2026
    12.5.5 Asia Pacific Market for Big Data 2021 – 2026
    12.5.6 Middle East and Africa Market for Big Data 2021 – 2026
    13.0 Appendix: Big Data Support of Streaming IoT Data
    13.1 Big Data Technology Market Outlook for Streaming IoT Data
    13.1.1 IoT Data Management is a Ubiquitous Opportunity across Enterprise
    13.1.2 IoT Data becomes a Big Data Revenue Opportunity
    13.1.3 Real-time Streaming IoT Data Analytics is a Substantial Opportunity
    13.2 Global Streaming IoT Data Analytics Revenue 2021 – 2026
    13.2.1 Overall Streaming Data Analytics Revenue for IoT 2021 – 2026
    13.2.2 Global Streaming IoT Data Analytics Revenue by App, Software, and Services 2021 – 2026
    13.2.3 Global Streaming IoT Data Analytics Revenue in Industry Verticals 2021 – 2026
    13.2.3.1 Streaming IoT Data Analytics Revenue in Retail
    13.2.3.1.1 Streaming IoT Data Analytics Revenue by Retail Segment
    13.2.3.1.2 Streaming IoT Data Analytics Retail Revenue by App, Software, and Service
    13.2.3.2 Streaming IoT Data Analytics Revenue in Telecom and IT
    13.2.3.2.1 Streaming IoT Data Analytics Revenue by Telecom and IT Segment
    13.2.3.2.2 Streaming IoT Data Analytics Revenue by Telecom & IT App, Software, and Service
    13.2.3.3 Streaming IoT Data Analytics Revenue in Energy and Utility
    13.2.3.3.1 Streaming IoT Data Analytics Revenue by Energy and Utility Segment
    13.2.3.3.2 Streaming IoT Data Analytics Energy and Utilities Revenue by App, Software, and Service
    13.2.3.4 Streaming IoT Data Analytics Revenue in Government
    13.2.3.4.1 Streaming IoT Data Analytics Revenue by Government Segment
    13.2.3.4.2 Streaming IoT Data Analytics Government Revenue by App, Software, and Service
    13.2.3.5 Streaming IoT Data Analytics Revenue in Healthcare and Life Science
    13.2.3.5.1 Streaming IoT Data Analytics Revenue by Healthcare Segment
    13.2.3.6 Streaming IoT Data Analytics Revenue in Manufacturing
    13.2.3.6.1 Streaming IoT Data Analytics Revenue by Manufacturing Segment
    13.2.3.6.2 Streaming IoT Data Analytics Manufacturing Revenue by App, Software, and Service
    13.2.3.7 Streaming IoT Data Analytics Revenue in Transportation & Logistics
    13.2.3.7.1 Streaming IoT Data Analytics Revenue by Transportation & Logistics Segment
    13.2.3.7.2 Streaming IoT Data Analytics Transportation & Logistics Revenue by App, Software, and Service
    13.2.3.8 Streaming IoT Data Analytics Revenue in Banking and Finance
    13.2.3.8.1 Streaming IoT Data Analytics Revenue by Banking and Finance Segment
    13.2.3.8.2 Streaming IoT Data Analytics Revenue by Banking and Finance App, Software, and Service
    13.2.3.9 Streaming IoT Data Analytics Revenue in Smart Cities
    13.2.3.9.1 Streaming IoT Data Analytics Revenue by Smart City Segment
    13.2.3.9.2 Streaming IoT Data Analytics Revenue by Smart Cities App, Software, and Service
    13.2.3.10 Streaming IoT Data Analytics Revenue in Automotive
    13.2.3.10.1 Streaming IoT Data Analytics Revenue by Automobile Industry Segment
    13.2.3.10.2 Streaming IoT Data Analytics Revenue by Automotive Industry App, Software, and Service
    13.2.3.11 Streaming IoT Data Analytics Revenue in Education
    13.2.3.11.1 Streaming IoT Data Analytics Revenue by Education Industry Segment
    13.2.3.11.2 Streaming IoT Data Analytics Revenue by Education Industry App, Software, and Service
    13.2.3.12 Streaming IoT Data Analytics Revenue in Outsourcing Services
    13.2.3.12.1 Streaming IoT Data Analytics Revenue by Outsourcing Segment
    13.2.3.12.2 Streaming IoT Data Analytics Revenue by Outsourcing Industry App, Software, and Service
    13.2.3.13 Streaming IoT Data Analytics Revenue by Leading Vendor Platform
    13.3 Regional Streaming IoT Data Analytics Revenue 2021 – 2026
    13.3.1 Streaming IoT Data Analytics Revenue by Region 2021 – 2026
    13.3.2 Streaming IoT Data Analytics in Asia Pac Market Revenue 2021 – 2026
    13.3.3 Streaming IoT Data Analytics in Europe Market Revenue 2021 – 2026
    13.3.4 Streaming IoT Data Analytics in North America Market Revenue 2021 – 2026
    13.3.5 Streaming IoT Data Analytics in Latin America Market Revenue 2021 – 2026
    13.3.6 Streaming IoT Data Analytics in MEA Market Revenue 2021 – 2026
    13.4 Streaming IoT Data Analytics Revenue by Country 2021 – 2026
    13.4.1 Streaming IoT Data Analytics Revenue by APAC Countries 2021 – 2026
    13.4.1.1 Leading Countries
    13.4.1.2 Japan Market Revenue
    13.4.1.3 China Market Revenue
    13.4.1.4 India Market Revenue
    13.4.1.5 Australia Market Revenue
    13.4.2 Streaming IoT Data Analytics Revenue by Europe Countries 2021 – 2026
    13.4.2.1 Leading Countries
    13.4.2.2 Germany Market Revenue
    13.4.2.3 UK Market Revenue
    13.4.2.4 France Market Revenue
    13.4.3 Streaming IoT Data Analytics Revenue by North America Countries 2021 – 2026
    13.4.3.1 Leading Countries
    13.4.3.2 US Market Revenue
    13.4.3.3 Canada Market Revenue
    13.4.4 Streaming IoT Data Analytics Revenue by Latin America Countries 2021 – 2026
    13.4.4.1 Leading Countries
    13.4.4.2 Brazil Market Revenue
    13.4.4.3 Mexico Market Revenue
    13.4.5 Streaming IoT Data Analytics Revenue by ME&A Countries 2021 – 2026
    13.4.5.1 Leading Countries
    13.4.5.2 South Africa Market Revenue
    13.4.5.3 UAE Market Revenue

    Figures

    Figure 1: Big Data Ecosystem
    Figure 2: Key Characteristics of Big Data
    Figure 3: Big Data Use Cases in Industry Verticals
    Figure 4: Big Data Stack
    Figure 5: Framework for Big Data in IoT
    Figure 6: NoSQL vs Legacy DB Performance Comparisons
    Figure 7: Big Data Technology Roadmap
    Figure 8: The Big Data Value Chain
    Figure 9: Big Data Value Flow
    Figure 10: Big Data Analytics
    Figure 11: Big Data Vendor Ranking Matrix
    Figure 12: Global Big Data Market
    Figure 13: Big Data Market by Solution Type
    Figure 14: Regional Market for Big Data
    Figure 15: Big Data Market by Management Utilities
    Figure 16: Market for Servers and Other Hardware
    Figure 17: Market for Application Infrastructure and Middleware
    Figure 18: Big Data Market for Data Integration Tools and Data Quality Tools
    Figure 19: Market for Database Management Systems
    Figure 20: Market for Storage Management
    Figure 21: Big Data Market by Functional Segment
    Figure 22: Big Data in Supply Chain Management
    Figure 23: Big Data in Workforce Analytics
    Figure 24: Big Data in Enterprise Performance Analytics
    Figure 25: Big Data in Professional Services
    Figure 26: Big Data in Business Intelligence
    Figure 27: Big Data in Social Media and Content Analytics
    Figure 28: Market for Big Data in Emerging Technologies
    Figure 29: Big Data in Internet of Things
    Figure 30: Big Data in Smart Cities
    Figure 31: Big Data in Blockchain and Cryptocurrency
    Figure 32: Big Data in Augmented and Virtual Reality
    Figure 33: Big Data in Cybersecurity
    Figure 34: Big Data in Smart Assistants
    Figure 35: Big Data in Cognitive Computing
    Figure 36: Big Data in CRM
    Figure 37: Big Data in Spatial Information
    Figure 38: Big Data Market by Industry Type
    Figure 39: Big Data Applications in Transportation
    Figure 40: Big Data Applications in Automobiles
    Figure 41: North America Big Data Market by Solution Type
    Figure 42: North America Big Data Market by Management Utilities
    Figure 43: North America Big Data Market by Functional Segments
    Figure 44: North America Market for Big Data in Emerging Technologies
    Figure 45: North America Big Data Market by Industry Type
    Figure 46: South America Big Data Market by Solution Type
    Figure 47: South America Big Data Market by Management Utilities
    Figure 48: South America Big Data Market by Functional Segments
    Figure 49: South America Market for Big Data in Emerging Technologies
    Figure 50: South America Big Data Market by Industry Type
    Figure 51: Western Europe Big Data Market by Solution Type
    Figure 52: Western Europe Big Data Market by Management Utilities
    Figure 53: Western Europe Big Data Market by Functional Segments
    Figure 54: Western Europe Market for Big Data in Emerging Technologies
    Figure 55: Western Europe Big Data Market by Industry Type
    Figure 56: Central and Eastern Europe Big Data Market by Solution Type
    Figure 57: Central and Eastern Europe Big Data Market by Management Utilities
    Figure 58: Central and Eastern Europe Big Data Market by Functional Segments
    Figure 59: Central and Eastern Europe Market for Big Data in Emerging Tech
    Figure 60: Central and Eastern Europe Big Data Market by Industry Type
    Figure 61: APAC Big Data Market by Solution Type
    Figure 62: APAC Big Data Market by Management Utilities
    Figure 63: APAC Big Data Market by Functional Segment
    Figure 64: APAC Market for Big Data in Emerging Technologies
    Figure 65: APAC Big Data Market by Industry Type
    Figure 66: MEA Big Data Market by Solution Type
    Figure 67: MEA Big Data Market by Management Utilities
    Figure 68: MEA Big Data Market by Functional Segments
    Figure 69: MEA Market for Big Data in Emerging Technologies
    Figure 70: MEA Big Data Market by Industry Type
    Figure 71: Streaming IoT Data Sources Compared
    Figure 72: Overall Streaming IoT Data Analytics

    Tables

    Table 1: Global Markets for Big Data
    Table 2: Big Data Markets by the Type of Plan
    Table 3: Regional Markets for Big Data
    Table 4: Big Data Market by Management Utilities
    Table 5: Market for Servers and Other Hardware
    Table 6: Big Data Market for Application Infrastructure and Middleware
    Table 7: Market for Data Integration Tools and Data Quality Tools
    Table 8: Market for Database Management Systems
    Table 9: Market for Storage Management
    Table 10: Big Data Market by Functional Segment
    Table 11: Big Data in Supply Chain Management
    Table 12: Big Data in Workforce Analytics
    Table 13: Big Data in Enterprise Performance Analytics
    Table 14: Big Data in Professional Services
    Table 15: Big Data in Business Intelligence
    Table 16: Big Data in Social Media and Content Analytics
    Table 17: Market for Big Data in Emerging Technologies
    Table 18: Big Data in Internet of Things
    Table 19: Big Data in Smart Cities
    Table 20: Big Data in Blockchain Technology and Cryptocurrency
    Table 21: Big Data in Augmented and Virtual Reality
    Table 22: Big Data in Cybersecurity
    Table 23: Big Data in Smart Assistants
    Table 24: Big Data in Cognitive Computing
    Table 25: Big Data in CRM
    Table 26: Big Data in Spatial Information
    Table 27: Big Data Market by Industry Type
    Table 28: Big Data Applications in Transportation Market
    Table 29: Big Data Applications in Automobiles
    Table 30: North America Big Data Market by Solution Type
    Table 31: North America Big Data Market by Management Utilities
    Table 32: North America Big Data Market by Functional Segments
    Table 33: North America Market for Big Data in Emerging Technologies
    Table 34: North America Big Data Market by Industry Type
    Table 35: South America Big Data Market by Solution Type
    Table 36: South America Big Data Market by Management Utilities
    Table 37: South America Big Data Market by Functional Segments
    Table 38: South America Market for Big Data in Emerging Technologies
    Table 39: South America Big Data Market by Industry Type
    Table 40: Western Europe Big Data Market by Solution Type
    Table 41: Western Europe Big Data Market by Management Utilities
    Table 42: Western Europe Big Data Market by Functional Segments
    Table 43: Western Europe Market for Big Data in Emerging Technologies
    Table 44: Western Europe Big Data Market by Industry Type
    Table 45: Central and Eastern Europe Big Data Market by Solution Type
    Table 46: Central and Eastern Europe Big Data Market by Management Utilities
    Table 47: Central and Eastern Europe Big Data Market by Functional Segments
    Table 48: Central and Eastern Europe Market for Big Data in Emerging Tech
    Table 49: Central and Eastern Europe Big Data Market by Industry Type
    Table 50: APAC Big Data Market by Solution Type
    Table 51: APAC Big Data Market by Management Utilities
    Table 52: APAC Big Data Market by Functional Segments
    Table 53: APAC Market for Big Data in Emerging Technologies
    Table 54: APAC Big Data Market by Industry Type
    Table 55: MEA Big Data Market by Solution Type
    Table 56: MEA Big Data Market by Management Utilities
    Table 57: MEA Big Data Market by Functional Segments
    Table 58: MEA Market for Big Data in Emerging Technologies
    Table 59: MEA Big Data Market by Industry Type
    Table 60: Global Streaming IoT Data Analytics Revenue by App, Software, and Service
    Table 61: Global Streaming IoT Data Analytics Revenue in Industry Vertical
    Table 62: Retail Streaming IoT Data Analytics Revenue by Retail Segment
    Table 63: Retail Streaming IoT Data Analytics Revenue by App, Software, and Services
    Table 64: Telecom & IT Streaming IoT Data Analytics Rev by Segment
    Table 65: Telecom & IT Streaming IoT Data Analytics Rev by App, Software, and Services
    Table 66: Energy & Utilities Streaming IoT Data Analytics Rev by Segment
    Table 67: Energy & Utilities Streaming IoT Data Analytics Rev by App, Software, and Services
    Table 68: Government Streaming IoT Data Analytics Revenue by Segment
    Table 69: Government Streaming IoT Data Analytics Revenue by App, Software, and Services
    Table 70: Healthcare & Life Science Streaming IoT Data Analytics Revenue by Segment
    Table 71: Healthcare & Life Science Streaming IoT Data Analytics Revenue by App, Software, and Services
    Table 72: Manufacturing Streaming IoT Data Analytics Revenue by Segment
    Table 73: Manufacturing Streaming IoT Data Analytics Revenue by App, Software, and Services
    Table 74: Transportation and Logistics Streaming IoT Data Analytics Revenue by Segment
    Table 75: Transportation and Logistics Streaming IoT Data Analytics Revenue by App, Software, and Services
    Table 76: Banking and Finance Streaming IoT Data Analytics Revenue by Segment
    Table 77: Banking & Finance Streaming IoT Data Analytics Revenue by App, Software, and Services
    Table 78: Smart Cities Streaming IoT Data Analytics Revenue by Segment
    Table 79: Smart Cities Streaming IoT Data Analytics Revenue by App, Software, and Services
    Table 80: Automotive Streaming IoT Data Analytics Revenue by Segment
    Table 81: Automotive Streaming IoT Data Analytics Revenue by Apps, Software, and Services
    Table 82: Education Streaming IoT Data Analytics Revenue by Segment
    Table 83: Education Streaming IoT Data Analytics Revenue by App, Software, and Services
    Table 84: Outsourcing Service Streaming IoT Data Analytics Revenue by Segment
    Table 85: Outsourcing Service Streaming IoT Data Analytics Revenue by App, Software, and Services
    Table 86: Streaming IoT Data Analytics Revenue by Leading Vendor Platforms
    Table 87: Streaming IoT Data Analytics Revenue in Region
    Table 88: APAC Streaming IoT Data Analytics Revenue by Solution and Services
    Table 89: APAC Streaming IoT Data Analytics Revenue in Industry Verticals
    Table 90: APAC Streaming IoT Data Analytics Revenue by Leading Vendor Platforms
    Table 91: Europe Streaming IoT Data Analytics Revenue by Solution and Services
    Table 92: Europe Streaming IoT Data Analytics Revenue in Industry Verticals
    Table 93: Europe Streaming IoT Data Analytics Revenue by Leading Vendor Platforms
    Table 94: North America Streaming IoT Data Analytics Revenue by Solution and Services
    Table 95: North America Streaming IoT Data Analytics Revenue in Industry Verticals
    Table 96: North America Streaming IoT Data Analytics Revenue by Leading Vendor Platforms
    Table 97: Latin America Streaming IoT Data Analytics Revenue by Solution and Services
    Table 98: Latin America Streaming IoT Data Analytics Revenue in Industry Verticals
    Table 99: Latin America Streaming IoT Data Analytics Revenue by Leading Vendor Platforms
    Table 100: ME&A Streaming IoT Data Analytics Revenue by Solution and Services
    Table 101: ME&A Streaming IoT Data Analytics Revenue in Industry Verticals
    Table 102: ME&A Streaming IoT Data Analytics Revenue by Leading Vendor Platforms
    Table 103: Streaming IoT Data Analytics Revenue by APAC Countries
    Table 104: Japan Streaming IoT Data Analytics Revenue by Solution and Services
    Table 105: Japan Streaming IoT Data Analytics Revenue in Industry Verticals
    Table 106: China Streaming IoT Data Analytics Revenue by Solution and Services
    Table 107: China Streaming IoT Data Analytics Revenue in Industry Verticals
    Table 108: India Streaming IoT Data Analytics Revenue by Solution and Services
    Table 109: India Streaming IoT Data Analytics Revenue in Industry Verticals
    Table 110: Australia Streaming IoT Data Analytics Revenue by Solution and Services
    Table 111: Australia Streaming IoT Data Analytics Revenue in Industry Verticals
    Table 112: Streaming IoT Data Analytics Revenue by Europe Countries
    Table 113: Germany Streaming IoT Data Analytics Revenue by Solution and Services
    Table 114: Germany Streaming IoT Data Analytics Revenue in Industry Verticals
    Table 115: UK Streaming IoT Data Analytics Revenue by Solution and Services
    Table 116: UK Streaming IoT Data Analytics Revenue in Industry Verticals
    Table 117: France Streaming IoT Data Analytics Revenue by Solution and Services
    Table 118: France Streaming IoT Data Analytics Revenue in Industry Verticals
    Table 119: Streaming IoT Data Analytics Revenue by North America Countries
    Table 120: US Streaming IoT Data Analytics Revenue by Solution and Services
    Table 121: US Streaming IoT Data Analytics Revenue in Industry Verticals
    Table 122: Canada Streaming IoT Data Analytics Revenue by Solution and Services
    Table 123: Canada Streaming IoT Data Analytics Revenue in Industry Verticals
    Table 124: Streaming IoT Data Analytics Revenue by Latin America Countries
    Table 125: Brazil Streaming IoT Data Analytics Revenue by Solution and Services
    Table 126: Brazil Streaming IoT Data Analytics Revenue in Industry Verticals
    Table 127: Mexico Streaming IoT Data Analytics Revenue by Solution and Services
    Table 128: Mexico Streaming IoT Data Analytics Revenue in Industry Verticals
    Table 129: Streaming IoT Data Analytics Revenue by ME&A Countries
    Table 130: South Africa Streaming IoT Data Analytics Revenue by Solution and Services
    Table 131: South Africa Streaming IoT Data Analytics Revenue in Industry Verticals
    Table 132: UAE Streaming IoT Data Analytics Revenue by Solution and Services
    Table 133: UAE Streaming IoT Data Analytics Revenue in Industry Verticals

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