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The Big Data Market: 2018 2030 : Opportunities, Challenges, Strategies, Industry Verticals & Forecasts


Report Details

The Big Data Market: 2018 2030 : Opportunities, Challenges, Strategies, Industry Verticals & Forecasts

SKU SNSJUN121801
Category ICT
Publisher SNS Telecom
Pages 549
Published Jun-18
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Description

Big Data vendors will pocket over $65 Billion from hardware, software and professional services revenues. These investments are further expected to grow at a CAGR of approximately 14% over the next three years, eventually accounting for more than $96 Billion by the end of 2021.
“Big Data” originally emerged as a term to describe datasets whose size is beyond the ability of traditional databases to capture, store, manage and analyze. However, the scope of the term has significantly expanded over the years. Big Data not only refers to the data itself but also a set of technologies that capture, store, manage and analyze large and variable collections of data, to solve complex problems.

Amid the proliferation of real-time data from sources such as mobile devices, web, social media, sensors, log files and transactional applications, Big Data has found a host of vertical market applications, ranging from fraud detection to scientific R&D.

Despite challenges relating to privacy concerns and organizational resistance, Big Data investments continue to gain momentum throughout the globe. Research estimates that Big Data investments will account for over $65 Billion in 2018 alone. These investments are further expected to grow at a CAGR of approximately 14% over the next three years.

The “Big Data Market: 2018 – 2030 – Opportunities, Challenges, Strategies, Industry Verticals & Forecasts” report presents an in-depth assessment of the Big Data ecosystem including key market drivers, challenges, investment potential, vertical market opportunities and use cases, future roadmap, value chain, case studies on Big Data analytics, vendor profiles, market share and strategies. The report also presents market size forecasts for Big Data hardware, software and professional services from 2018 till 2030. The forecasts are segmented for 8 horizontal submarkets, 14 vertical markets, 6 regions and 35 countries.

The report comes with an associated Excel datasheet suite covering quantitative data from all numeric forecasts presented in the report.

The report covers the following topics:
- Big Data ecosystem
- Market drivers and barriers
- Enabling technologies, standardization and regulatory initiatives
- Big Data analytics and implementation models
- Key trends – including AI (Artificial Intelligence), machine learning, edge analytics, cloud-based Big Data platforms, and the impact of the IoT (Internet of Things)
- Analysis of key applications and investment potential for 14 vertical markets
- Over 60 case studies on the use of Big Data and analytics
- Big Data vendor market share
- Future roadmap and value chain
- Profiles and strategies of over 270 leading and emerging Big Data ecosystem players
- Strategic recommendations for Big Data hardware, software and professional services vendors, and enterprises
- Market analysis and forecasts from 2018 till 2030

Forecast Segmentation
Market forecasts are provided for each of the following submarkets and their subcategories:

Hardware, Software & Professional Services
- Hardware
- Software
- Professional Services

Horizontal Submarkets
- Storage & Compute Infrastructure
- Networking Infrastructure
- Hadoop & Infrastructure Software
- SQL
- NoSQL
- Analytic Platforms & Applications
- Cloud Platforms
- Professional Services

Vertical Submarkets
- Automotive, Aerospace & Transportation
- Banking & Securities
- Defense & Intelligence
- Education
- Healthcare & Pharmaceutical
- Smart Cities & Intelligent Buildings
- Insurance
- Manufacturing & Natural Resources
- Web, Media & Entertainment
- Public Safety & Homeland Security
- Public Services
- Retail, Wholesale & Hospitality
- Telecommunications
- Utilities & Energy
- Others

Regional Markets
- Asia Pacific
- Eastern Europe
- Latin & Central America
- Middle East & Africa
- North America
- Western Europe

Country Markets
- Argentina, Australia, Brazil, Canada, China, Czech Republic, Denmark, Finland, France, Germany, India, Indonesia, Israel, Italy, Japan, Malaysia, Mexico, Netherlands, Norway, Pakistan, Philippines, Poland, Qatar, Russia, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Taiwan, Thailand, UAE, UK, USA

Key Questions Answered
The report provides answers to the following key questions:
- How big is the Big Data ecosystem?
- How is the ecosystem evolving by segment and region?
- What will the market size be in 2021, and at what rate will it grow?
- What trends, challenges and barriers are influencing its growth?
- Who are the key Big Data software, hardware and services vendors, and what are their strategies?
- How much are vertical enterprises investing in Big Data?
- What opportunities exist for Big Data analytics?
- Which countries and verticals will see the highest percentage of Big Data investments?

Key Findings
The report has the following key findings:
- In 2018, Big Data vendors will pocket over $65 Billion from hardware, software and professional services revenues. These investments are further expected to grow at a CAGR of approximately 14% over the next three years, eventually accounting for more than $96 Billion by the end of 2021.
- With ongoing advances in AI (Artificial Intelligence) technologies, Big Data analytics initiatives are beginning to leverage sophisticated deep learning systems with an autonomous sense of judgment – to enable a range of applications from chatbots and virtual assistants to self-driving vehicles and precision medicine.
- In order to analyze data closer to where it is collected, Big Data and advanced analytics technologies are increasingly being integrated into edge environments, including network nodes, numerous industrial machines and IoT (Internet of Things) devices.
- The vendor arena is continuing to consolidate with several prominent M&A deals such as Oracle's recent acquisition of enterprise data science platform provider DataScience.com – in a bid to beef up its capabilities in machine learning and Big Data for predictive analytics, and Google's acquisition of Big Data application platform provider Cask Data.


News/Press Release

Table of Content

Table of Contents
Chapter 1: Introduction
Executive Summary
Topics Covered
Forecast Segmentation
Key Questions Answered
Key Findings
Methodology
Target Audience
Companies & Organizations Mentioned

Chapter 2: An Overview of Big Data
What is Big Data?
Key Approaches to Big Data Processing
Hadoop
NoSQL
MPAD (Massively Parallel Analytic Databases)
In-Memory Processing
Stream Processing Technologies
Spark
Other Databases & Analytic Technologies
Key Characteristics of Big Data
Volume
Velocity
Variety
Value
Market Growth Drivers
Awareness of Benefits
Maturation of Big Data Platforms
Continued Investments by Web Giants, Governments & Enterprises
Growth of Data Volume, Velocity & Variety
Vendor Commitments & Partnerships
Technology Trends Lowering Entry Barriers
Market Barriers
Lack of Analytic Specialists
Uncertain Big Data Strategies
Organizational Resistance to Big Data Adoption
Technical Challenges: Scalability & Maintenance
Security & Privacy Concerns

Chapter 3: Big Data Analytics
What are Big Data Analytics?
The Importance of Analytics
Reactive vs. Proactive Analytics
Customer vs. Operational Analytics
Technology & Implementation Approaches
Grid Computing
In-Database Processing
In-Memory Analytics
Machine Learning & Data Mining
Predictive Analytics
NLP (Natural Language Processing)
Text Analytics
Visual Analytics
Graph Analytics
Social Media, IT & Telco Network Analytics

Chapter 4: Big Data in Automotive, Aerospace & Transportation
Overview & Investment Potential
Key Applications
Autonomous & Semi-Autonomous Driving
Streamlining Vehicle Recalls & Warranty Management
Fleet Management
Intelligent Transportation
UBI (Usage Based Insurance)
Predictive Aircraft Maintenance & Fuel Optimization
Air Traffic Control
Case Studies
Boeing: Making Flying More Efficient with Big Data
BMW: Eliminating Defects in New Vehicle Models with Big Data
Dash Labs: Turning Regular Cars into Data-Driven Smart Cars with Big Data
Ford Motor Company: Making Efficient Transportation Decisions with Big Data
Groupe Renault: Boosting Driver Safety with Big Data
Honda Motor Company: Improving F1 Performance & Fuel Efficiency with Big Data

Chapter 5: Big Data in Banking & Securities
Overview & Investment Potential
Key Applications
Customer Retention & Personalized Products
Risk Management
Fraud Detection
Credit Scoring
Case Studies
HSBC Group: Avoiding Regulatory Penalties with Big Data
JPMorgan Chase & Co.: Improving Business Processes with Big Data
OTP Bank: Reducing Loan Defaults with Big Data
CBA (Commonwealth Bank of Australia): Providing Personalized Services with Big Data

Chapter 6: Big Data in Defense & Intelligence
Overview & Investment Potential
Key Applications
Intelligence Gathering
Battlefield Analytics
Energy Saving Opportunities in the Battlefield
Preventing Injuries on the Battlefield
Case Studies
U.S. Air Force: Providing Actionable Intelligence to Warfighters with Big Data
Royal Navy: Empowering Submarine Warfare with Big Data
NSA (National Security Agency): Capitalizing on Big Data to Detect Threats
Ministry of State Security, China: Predictive Policing with Big Data
French DGSE (General Directorate for External Security): Enhancing Intelligence with Big Data

Chapter 7: Big Data in Education
Overview & Investment Potential
Key Applications
Information Integration
Identifying Learning Patterns
Enabling Student-Directed Learning
Case Studies
Purdue University: Improving Academic Performance with Big Data
Nottingham Trent University: Successful Student Outcomes with Big Data
Edith Cowen University: Increasing Student Retention with Big Data

Chapter 8: Big Data in Healthcare & Pharma
Overview & Investment Potential
Key Applications
Drug Discovery, Design & Development
Clinical Development & Trials
Population Health Management
Personalized Healthcare & Targeted Treatments
Proactive & Remote Patient Monitoring
Preventive Care & Health Interventions
Case Studies
AstraZeneca: Analytics-Driven Drug Development with Big Data
Bangkok Hospital Group: Transforming the Patient Experience with Big Data
Novartis: Digitizing Healthcare with Big Data
Pfizer: Developing Effective and Targeted Therapies with Big Data
Sanofi: Proactive Diabetes Care with Big Data
UnitedHealth Group: Enhancing Patient Care & Value with Big Data

Chapter 9: Big Data in Smart Cities & Intelligent Buildings
Overview & Investment Potential
Key Applications
Energy Optimization & Fault Detection
Intelligent Building Analytics
Urban Transportation Management
Optimizing Energy Production
Water Management
Urban Waste Management
Case Studies
Singapore: Building a Smart Nation with Big Data
Glasgow City Council: Promoting Smart City Efforts with Big Data
OVG Real Estate: Powering the World’s Most Intelligent Building with Big Data

Chapter 10: Big Data in Insurance
Overview & Investment Potential
Key Applications
Claims Fraud Mitigation
Customer Retention & Profiling
Risk Management
Case Studies
Zurich Insurance Group: Enhancing Risk Management with Big Data
RSA Group: Improving Customer Relations with Big Data
Primerica: Improving Insurance Sales Force Productivity with Big Data

Chapter 11: Big Data in Manufacturing & Natural Resources
Overview & Investment Potential
Key Applications
Asset Maintenance & Downtime Reduction
Quality & Environmental Impact Control
Optimized Supply Chain
Exploration & Identification of Natural Resources
Case Studies
Intel Corporation: Cutting Manufacturing Costs with Big Data
Dow Chemical Company: Optimizing Chemical Manufacturing with Big Data
Michelin: Improving the Efficiency of Supply Chain and Manufacturing with Big Data
Brunei: Saving Natural Resources with Big Data

Chapter 12: Big Data in Web, Media & Entertainment
Overview & Investment Potential
Key Applications
Audience & Advertising Optimization
Channel Optimization
Recommendation Engines
Optimized Search
Live Sports Event Analytics
Outsourcing Big Data Analytics to Other Verticals
Case Studies
Twitter: Cracking Down on Abusive Content with Big Data
Netflix: Improving Viewership with Big Data
NFL (National Football League): Improving Stadium Experience with Big Data
Baidu: Reshaping Search Capabilities with Big Data
Constant Contact: Effective Marketing with Big Data

Chapter 13: Big Data in Public Safety & Homeland Security
Overview & Investment Potential
Key Applications
Cyber Crime Mitigation
Crime Prediction Analytics
Video Analytics & Situational Awareness
Case Studies
DHS (Department of Homeland Security): Identifying Threats with Big Data
Dubai Police: Locating Wanted Vehicles More Efficiently with Big Data
Memphis Police Department: Crime Reduction with Big Data

Chapter 14: Big Data in Public Services
Overview & Investment Potential
Key Applications
Public Sentiment Analysis
Tax Collection & Fraud Detection
Economic Analysis
Predicting & Mitigating Disasters
Case Studies
ONS (Office for National Statistics): Exploring the UK Economy with Big Data
New York State Department of Taxation and Finance: Increasing Tax Revenue with Big Data
Alameda County Social Services Agency: Benefit Fraud Reduction with Big Data
City of Chicago: Improving Government Productivity with Big Data
FDNY (Fire Department of the City of New York): Fighting Fires with Big Data
Ambulance Victoria: Improving Patient Survival Rates with Big Data

Chapter 15: Big Data in Retail, Wholesale & Hospitality
Overview & Investment Potential
Key Applications
Customer Sentiment Analysis
Customer & Branch Segmentation
Price Optimization
Personalized Marketing
Optimizing & Monitoring the Supply Chain
In-Field Sales Analytics
Case Studies
Walmart: Making Smarter Stocking Decision with Big Data
Tesco: Reducing Supermarket Energy Bills with Big Data
The Walt Disney Company: Theme Park Management with Big Data
Marriott International: Elevating Guest Services with Big Data
JJ Food Service: Predictive Wholesale Shopping Lists with Big Data

Chapter 16: Big Data in Telecommunications
Overview & Investment Potential
Key Applications
Network Performance & Coverage Optimization
Customer Churn Prevention
Personalized Marketing
Tailored Location Based Services
Fraud Detection
Case Studies
BT Group: Hunting Down Nuisance Callers with Big Data
AT&T: Smart Network Management with Big Data
T-Mobile USA: Cutting Down Churn Rate with Big Data
TEOCO: Helping Service Providers Save Millions with Big Data
Freedom Mobile: Optimizing Video Quality with Big Data
Coriant: SaaS Based Analytics with Big Data

Chapter 17: Big Data in Utilities & Energy
Overview & Investment Potential
Key Applications
Customer Retention
Forecasting Energy
Billing Analytics
Predictive Maintenance
Maximizing the Potential of Drilling
Production Optimization
Case Studies
Royal Dutch Shell: Developing Data-Driven Oil Fields with Big Data
British Gas: Improving Customer Service with Big Data
Oncor Electric Delivery: Intelligent Power Grid Management with Big Data

Chapter 18: Future Roadmap & Value Chain
Future Roadmap
Pre-2020: Towards Cloud-Based Big Data Offerings for Advanced Analytics
2020 – 2025: Growing Focus on AI (Artificial Intelligence), Deep Learning & Edge Analytics
2025 – 2030: Convergence with Future IoT Applications
The Big Data Value Chain
Hardware Providers
Storage & Compute Infrastructure Providers
Networking Infrastructure Providers
Software Providers
Hadoop & Infrastructure Software Providers
SQL & NoSQL Providers
Analytic Platform & Application Software Providers
Cloud Platform Providers
Professional Services Providers
End-to-End Solution Providers
Vertical Enterprises

Chapter 19: Standardization & Regulatory Initiatives
ASF (Apache Software Foundation)
Management of Hadoop
Big Data Projects Beyond Hadoop
CSA (Cloud Security Alliance)
BDWG (Big Data Working Group)
CSCC (Cloud Standards Customer Council)
Big Data Working Group
DMG (Data Mining Group)
PMML (Predictive Model Markup Language) Working Group
PFA (Portable Format for Analytics) Working Group
IEEE (Institute of Electrical and Electronics Engineers)
Big Data Initiative
INCITS (InterNational Committee for Information Technology Standards)
Big Data Technical Committee
ISO (International Organization for Standardization)
ISO/IEC JTC 1/SC 32: Data Management and Interchange
ISO/IEC JTC 1/SC 38: Cloud Computing and Distributed Platforms
ISO/IEC JTC 1/SC 27: IT Security Techniques
ISO/IEC JTC 1/WG 9: Big Data
Collaborations with Other ISO Work Groups
ITU (International Telecommunication Union)
ITU-T Y.3600: Big Data – Cloud Computing Based Requirements and Capabilities
Other Deliverables Through SG (Study Group) 13 on Future Networks
Other Relevant Work
Linux Foundation
ODPi (Open Ecosystem of Big Data)
NIST (National Institute of Standards and Technology)
NBD-PWG (NIST Big Data Public Working Group)
OASIS (Organization for the Advancement of Structured Information Standards)
Technical Committees
ODaF (Open Data Foundation)
Big Data Accessibility
ODCA (Open Data Center Alliance)
Work on Big Data
OGC (Open Geospatial Consortium)
Big Data DWG (Domain Working Group)
TM Forum
Big Data Analytics Strategic Program
TPC (Transaction Processing Performance Council)
TPC-BDWG (TPC Big Data Working Group)
W3C (World Wide Web Consortium)
Big Data Community Group
Open Government Community Group

Chapter 20: Market Sizing & Forecasts
Global Outlook for the Big Data Market
Submarket Segmentation
Storage and Compute Infrastructure
Networking Infrastructure
Hadoop & Infrastructure Software
SQL
NoSQL
Analytic Platforms & Applications
Cloud Platforms
Professional Services
Vertical Market Segmentation
Automotive, Aerospace & Transportation
Banking & Securities
Defense & Intelligence
Education
Healthcare & Pharmaceutical
Smart Cities & Intelligent Buildings
Insurance
Manufacturing & Natural Resources
Media & Entertainment
Public Safety & Homeland Security
Public Services
Retail, Wholesale & Hospitality
Telecommunications
Utilities & Energy
Other Sectors
Regional Outlook
Asia Pacific
Country Level Segmentation
Australia
China
India
Indonesia
Japan
Malaysia
Pakistan
Philippines
Singapore
South Korea
Taiwan
Thailand
Rest of Asia Pacific
Eastern Europe
Country Level Segmentation
Czech Republic
Poland
Russia
Rest of Eastern Europe
Latin & Central America
Country Level Segmentation
Argentina
Brazil
Mexico
Rest of Latin & Central America
Middle East & Africa
Country Level Segmentation
Israel
Qatar
Saudi Arabia
South Africa
UAE
Rest of the Middle East & Africa
North America
Country Level Segmentation
Canada
USA
Western Europe
Country Level Segmentation
Denmark
Finland
France
Germany
Italy
Netherlands
Norway
Spain
Sweden
UK
Rest of Western Europe

Chapter 21: Vendor Landscape
1010data
Absolutdata
Accenture
Actian Corporation/HCL Technologies
Adaptive Insights
Adobe Systems
Advizor Solutions
AeroSpike
AFS Technologies
Alation
Algorithmia
Alluxio
ALTEN
Alteryx
AMD (Advanced Micro Devices)
Anaconda
Apixio
Arcadia Data
ARM
AtScale
Attivio
Attunity
Automated Insights
AVORA
AWS (Amazon Web Services)
Axiomatics
Ayasdi
BackOffice Associates
Basho Technologies
BCG (Boston Consulting Group)
Bedrock Data
BetterWorks
Big Panda
BigML
Bitam
Blue Medora
BlueData Software
BlueTalon
BMC Software
BOARD International
Booz Allen Hamilton
Boxever
CACI International
Cambridge Semantics
Capgemini
Cazena
Centrifuge Systems
CenturyLink
Chartio
Cisco Systems
Civis Analytics
ClearStory Data
Cloudability
Cloudera
Cloudian
Clustrix
CognitiveScale
Collibra
Concurrent Technology/Vecima Networks
Confluent
Contexti
Couchbase
Crate.io
Cray
Databricks
Dataiku
Datalytyx
Datameer
DataRobot
DataStax
Datawatch Corporation
DDN (DataDirect Networks)
Decisyon
Dell Technologies
Deloitte
Demandbase
Denodo Technologies
Dianomic Systems
Digital Reasoning Systems
Dimensional Insight
Dolphin Enterprise Solutions Corporation/Hanse Orga Group
Domino Data Lab
Domo
Dremio
DriveScale
Druva
Dundas Data Visualization
DXC Technology
Elastic
Engineering Group (Engineering Ingegneria Informatica)
EnterpriseDB Corporation
eQ Technologic
Ericsson
Erwin
EV? (Big Cloud Analytics)
EXASOL
EXL (ExlService Holdings)
Facebook
FICO (Fair Isaac Corporation)
Figure Eight
FogHorn Systems
Fractal Analytics
Franz
Fujitsu
Fuzzy Logix
Gainsight
GE (General Electric)
Glassbeam
GoodData Corporation
Google/Alphabet
Grakn Labs
Greenwave Systems
GridGain Systems
H2O.ai
HarperDB
Hedvig
Hitachi Vantara
Hortonworks
HPE (Hewlett Packard Enterprise)
Huawei
HVR
HyperScience
HyTrust
IBM Corporation
iDashboards
IDERA
Ignite Technologies
Imanis Data
Impetus Technologies
Incorta
InetSoft Technology Corporation
InfluxData
Infogix
Infor/Birst
Informatica
Information Builders
Infosys
Infoworks
Insightsoftware.com
InsightSquared
Intel Corporation
Interana
InterSystems Corporation
Jedox
Jethro
Jinfonet Software
Juniper Networks
KALEAO
Keen IO
Keyrus
Kinetica
KNIME
Kognitio
Kyvos Insights
LeanXcale
Lexalytics
Lexmark International
Lightbend
Logi Analytics
Logical Clocks
Longview Solutions/Tidemark
Looker Data Sciences
LucidWorks
Luminoso Technologies
Maana
Manthan Software Services
MapD Technologies
MapR Technologies
MariaDB Corporation
MarkLogic Corporation
Mathworks
Melissa
MemSQL
Metric Insights
Microsoft Corporation
MicroStrategy
Minitab
MongoDB
Mu Sigma
NEC Corporation
Neo4j
NetApp
Nimbix
Nokia
NTT Data Corporation
Numerify
NuoDB
NVIDIA Corporation
Objectivity
Oblong Industries
OpenText Corporation
Opera Solutions
Optimal Plus
Oracle Corporation
Palantir Technologies
Panasonic Corporation/Arimo
Panorama Software
Paxata
Pepperdata
Phocas Software
Pivotal Software
Prognoz
Progress Software Corporation
Provalis Research
Pure Storage
PwC (PricewaterhouseCoopers International)
Pyramid Analytics
Qlik
Qrama/Tengu
Quantum Corporation
Qubole
Rackspace
Radius Intelligence
RapidMiner
Recorded Future
Red Hat
Redis Labs
RedPoint Global
Reltio
RStudio
Rubrik/Datos IO
Ryft
Sailthru
Salesforce.com
Salient Management Company
Samsung Group
SAP
SAS Institute
ScaleOut Software
Seagate Technology
Sinequa
SiSense
Sizmek
SnapLogic
Snowflake Computing
Software AG
Splice Machine
Splunk
Strategy Companion Corporation
Stratio
Streamlio
StreamSets
Striim
Sumo Logic
Supermicro (Super Micro Computer)
Syncsort
SynerScope
SYNTASA
Tableau Software
Talend
Tamr
TARGIT
TCS (Tata Consultancy Services)
Teradata Corporation
Thales/Guavus
ThoughtSpot
TIBCO Software
Toshiba Corporation
Transwarp
Trifacta
Unifi Software
Unravel Data
VANTIQ
VMware
VoltDB
WANdisco
Waterline Data
Western Digital Corporation
WhereScape
WiPro
Wolfram Research
Workday
Xplenty
Yellowfin BI
Yseop
Zendesk
Zoomdata
Zucchetti

Chapter 22: Conclusion & Strategic Recommendations
Why is the Market Poised to Grow?
Moving Towards Consolidation: Review of M&A Activity in the Vendor Arena
Maturation of AI (Artificial Intelligence): From Machine Learning to Deep Learning
Blockchain: Impact on Big Data
The Emergence of Edge Analytics
Beyond Data Capture & Analytics
Transforming IT from a Cost Center to a Profit Center
Can Privacy Implications Hinder Success?
Maximizing Innovation with Careful Regulation
Battling Organizational & Data Silos
Moving Big Data to the Cloud
Software vs. Hardware Investments
Vendor Share: Who Leads the Market?
Big Data Driving Wider IT Industry Investments
Assessing the Impact of the IoT
Recommendations
Big Data Hardware, Software & Professional Services Providers
Enterprises

List of Figures

Figure 1: Hadoop Architecture
Figure 2: Reactive vs. Proactive Analytics
Figure 3: Big Data Future Roadmap: 2018 – 2030
Figure 4: Big Data Value Chain
Figure 5: Key Aspects of Big Data Standardization
Figure 6: Global Big Data Revenue: 2018 – 2030 ($ Million)
Figure 7: Global Big Data Revenue by Submarket: 2018 – 2030 ($ Million)
Figure 8: Global Big Data Storage and Compute Infrastructure Submarket Revenue: 2018 – 2030 ($ Million)
Figure 9: Global Big Data Networking Infrastructure Submarket Revenue: 2018 – 2030 ($ Million)
Figure 10: Global Big Data Hadoop & Infrastructure Software Submarket Revenue: 2018 – 2030 ($ Million)
Figure 11: Global Big Data SQL Submarket Revenue: 2018 – 2030 ($ Million)
Figure 12: Global Big Data NoSQL Submarket Revenue: 2018 – 2030 ($ Million)
Figure 13: Global Big Data Analytic Platforms & Applications Submarket Revenue: 2018 – 2030 ($ Million)
Figure 14: Global Big Data Cloud Platforms Submarket Revenue: 2018 – 2030 ($ Million)
Figure 15: Global Big Data Professional Services Submarket Revenue: 2018 – 2030 ($ Million)
Figure 16: Global Big Data Revenue by Vertical Market: 2018 – 2030 ($ Million)
Figure 17: Global Big Data Revenue in the Automotive, Aerospace & Transportation Sector: 2018 – 2030 ($ Million)
Figure 18: Global Big Data Revenue in the Banking & Securities Sector: 2018 – 2030 ($ Million)
Figure 19: Global Big Data Revenue in the Defense & Intelligence Sector: 2018 – 2030 ($ Million)
Figure 20: Global Big Data Revenue in the Education Sector: 2018 – 2030 ($ Million)
Figure 21: Global Big Data Revenue in the Healthcare & Pharmaceutical Sector: 2018 – 2030 ($ Million)
Figure 22: Global Big Data Revenue in the Smart Cities & Intelligent Buildings Sector: 2018 – 2030 ($ Million)
Figure 23: Global Big Data Revenue in the Insurance Sector: 2018 – 2030 ($ Million)
Figure 24: Global Big Data Revenue in the Manufacturing & Natural Resources Sector: 2018 – 2030 ($ Million)
Figure 25: Global Big Data Revenue in the Media & Entertainment Sector: 2018 – 2030 ($ Million)
Figure 26: Global Big Data Revenue in the Public Safety & Homeland Security Sector: 2018 – 2030 ($ Million)
Figure 27: Global Big Data Revenue in the Public Services Sector: 2018 – 2030 ($ Million)
Figure 28: Global Big Data Revenue in the Retail, Wholesale & Hospitality Sector: 2018 – 2030 ($ Million)
Figure 29: Global Big Data Revenue in the Telecommunications Sector: 2018 – 2030 ($ Million)
Figure 30: Global Big Data Revenue in the Utilities & Energy Sector: 2018 – 2030 ($ Million)
Figure 31: Global Big Data Revenue in Other Vertical Sectors: 2018 – 2030 ($ Million)
Figure 32: Big Data Revenue by Region: 2018 – 2030 ($ Million)
Figure 33: Asia Pacific Big Data Revenue: 2018 – 2030 ($ Million)
Figure 34: Asia Pacific Big Data Revenue by Country: 2018 – 2030 ($ Million)
Figure 35: Australia Big Data Revenue: 2018 – 2030 ($ Million)
Figure 36: China Big Data Revenue: 2018 – 2030 ($ Million)
Figure 37: India Big Data Revenue: 2018 – 2030 ($ Million)
Figure 38: Indonesia Big Data Revenue: 2018 – 2030 ($ Million)
Figure 39: Japan Big Data Revenue: 2018 – 2030 ($ Million)
Figure 40: Malaysia Big Data Revenue: 2018 – 2030 ($ Million)
Figure 41: Pakistan Big Data Revenue: 2018 – 2030 ($ Million)
Figure 42: Philippines Big Data Revenue: 2018 – 2030 ($ Million)
Figure 43: Singapore Big Data Revenue: 2018 – 2030 ($ Million)
Figure 44: South Korea Big Data Revenue: 2018 – 2030 ($ Million)
Figure 45: Taiwan Big Data Revenue: 2018 – 2030 ($ Million)
Figure 46: Thailand Big Data Revenue: 2018 – 2030 ($ Million)
Figure 47: Big Data Revenue in the Rest of Asia Pacific: 2018 – 2030 ($ Million)
Figure 48: Eastern Europe Big Data Revenue: 2018 – 2030 ($ Million)
Figure 49: Eastern Europe Big Data Revenue by Country: 2018 – 2030 ($ Million)
Figure 50: Czech Republic Big Data Revenue: 2018 – 2030 ($ Million)
Figure 51: Poland Big Data Revenue: 2018 – 2030 ($ Million)
Figure 52: Russia Big Data Revenue: 2018 – 2030 ($ Million)
Figure 53: Big Data Revenue in the Rest of Eastern Europe: 2018 – 2030 ($ Million)
Figure 54: Latin & Central America Big Data Revenue: 2018 – 2030 ($ Million)
Figure 55: Latin & Central America Big Data Revenue by Country: 2018 – 2030 ($ Million)
Figure 56: Argentina Big Data Revenue: 2018 – 2030 ($ Million)
Figure 57: Brazil Big Data Revenue: 2018 – 2030 ($ Million)
Figure 58: Mexico Big Data Revenue: 2018 – 2030 ($ Million)
Figure 59: Big Data Revenue in the Rest of Latin & Central America: 2018 – 2030 ($ Million)
Figure 60: Middle East & Africa Big Data Revenue: 2018 – 2030 ($ Million)
Figure 61: Middle East & Africa Big Data Revenue by Country: 2018 – 2030 ($ Million)
Figure 62: Israel Big Data Revenue: 2018 – 2030 ($ Million)
Figure 63: Qatar Big Data Revenue: 2018 – 2030 ($ Million)
Figure 64: Saudi Arabia Big Data Revenue: 2018 – 2030 ($ Million)
Figure 65: South Africa Big Data Revenue: 2018 – 2030 ($ Million)
Figure 66: UAE Big Data Revenue: 2018 – 2030 ($ Million)
Figure 67: Big Data Revenue in the Rest of the Middle East & Africa: 2018 – 2030 ($ Million)
Figure 68: North America Big Data Revenue: 2018 – 2030 ($ Million)
Figure 69: North America Big Data Revenue by Country: 2018 – 2030 ($ Million)
Figure 70: Canada Big Data Revenue: 2018 – 2030 ($ Million)
Figure 71: USA Big Data Revenue: 2018 – 2030 ($ Million)
Figure 72: Western Europe Big Data Revenue: 2018 – 2030 ($ Million)
Figure 73: Western Europe Big Data Revenue by Country: 2018 – 2030 ($ Million)
Figure 74: Denmark Big Data Revenue: 2018 – 2030 ($ Million)
Figure 75: Finland Big Data Revenue: 2018 – 2030 ($ Million)
Figure 76: France Big Data Revenue: 2018 – 2030 ($ Million)
Figure 77: Germany Big Data Revenue: 2018 – 2030 ($ Million)
Figure 78: Italy Big Data Revenue: 2018 – 2030 ($ Million)
Figure 79: Netherlands Big Data Revenue: 2018 – 2030 ($ Million)
Figure 80: Norway Big Data Revenue: 2018 – 2030 ($ Million)
Figure 81: Spain Big Data Revenue: 2018 – 2030 ($ Million)
Figure 82: Sweden Big Data Revenue: 2018 – 2030 ($ Million)
Figure 83: UK Big Data Revenue: 2018 – 2030 ($ Million)
Figure 84: Big Data Revenue in the Rest of Western Europe: 2018 – 2030 ($ Million)
Figure 85: Global Big Data Workload Distribution by Environment: 2018 – 2030 (%)
Figure 86: Global Big Data Revenue by Hardware, Software & Professional Services: 2018 – 2030 ($ Million)
Figure 87: Big Data Vendor Market Share: 2017 (%)
Figure 88: Global IT Expenditure Driven by Big Data Investments: 2018 – 2030 ($ Million)
Figure 89: Global IoT Connections by Access Technology: 2018 – 2030 (Millions)

Companies Profiled

List of Companies Mentioned
1010data
Absolutdata
Accenture
Actian Corporation
Actuate Corporation
Adaptive Insights
Adobe Systems
Advizor Solutions
AeroSpike
AFS Technologies
Airbus Group
Alameda County Social Services Agency
Alation
Algorithmia
Alluxio
Alphabet
Alpine Data
ALTEN
Alteryx
Altiscale
Amazon.com
Ambulance Victoria
AMD (Advanced Micro Devices)
Amgen
Anaconda
ANSI (American National Standards Institute)
Antivia
Apixio
Arcadia Data
Arimo
ARM
ASF (Apache Software Foundation)
AstraZeneca
AT&T
AtScale
Attivio
Attunity
Automated Insights
AVORA
AWS (Amazon Web Services)
Axiomatics
Ayasdi
BackOffice Associates
BAE Systems
Baidu
Bangkok Hospital Group
Basho Technologies
BCG (Boston Consulting Group)
Bedrock Data
Bet365 Group
BetterWorks
Big Panda
BigML
Bina Technologies
Biogen
Birst
Bitam
Blue Medora
BlueData Software
BlueTalon
BMC Software
BMW
BOARD International
Boeing
Booz Allen Hamilton
Boxever
British Gas
Broadcom
BT Group
CACI International
Cambridge Semantics
Capgemini
Capital One Financial Corporation
Cask Data
Cazena
CBA (Commonwealth Bank of Australia)
Centrifuge Systems
CenturyLink
Chartio
Cisco Systems
Civis Analytics
ClearStory Data
Cloudability
Cloudera
Cloudian
Clustrix
CognitiveScale
Collibra
Concurrent Technology
Confluent
Constant Contact
Contexti
Coriant
Couchbase
Crate.io
Cray
Credit Agricole Group
CSA (Cloud Security Alliance)
CSCC (Cloud Standards Customer Council)
Dash Labs
Data Clairvoyance Group
Databricks
DataGravity
Dataiku
Datalytyx
Datameer
DataRobot
DataScience.com
DataStax
Datawatch Corporation
Datos IO
DDN (DataDirect Networks)
Decisyon
Dell EMC
Dell Technologies
Deloitte
Demandbase
Denodo Technologies
Denso Corporation
DGSE (General Directorate for External Security, France)
Dianomic Systems
Digital Reasoning Systems
Dimensional Insight
DMG  (Data Mining Group)
Dolphin Enterprise Solutions Corporation
Domino Data Lab
Domo
Dow Chemical Company
Dremio
DriveScale
Druva
DT (Deutsche Telekom)
Dubai Police
Dundas Data Visualization
DXC Technology
eBay
Edith Cowen University
Elastic
Engineering Group (Engineering Ingegneria Informatica)
EnterpriseDB Corporation
eQ Technologic
Ericsson
Erwin
EV? (Big Cloud Analytics)
EXASOL
EXL (ExlService Holdings)
Facebook
FDNY (Fire Department of the City of New York)
FICO (Fair Isaac Corporation)
Figure Eight
FogHorn Systems
Ford Motor Company
Fractal Analytics
Franz
Fujitsu
Fuzzy Logix
Gainsight
GE (General Electric)
Glasgow City Council
Glassbeam
GoodData Corporation
Google
Grakn Labs
Greenwave Systems
GridGain Systems
Groupe Renault
Guavus
H2O.ai
Hanse Orga Group
HarperDB
HCL Technologies
Hedvig
Hitachi
Hitachi Vantara
Honda Motor Company
Hortonworks
HPE (Hewlett Packard Enterprise)
HSBC Group
Huawei
HVR
HyperScience
HyTrust
IBM Corporation
iDashboards
IDERA
IEC (International Electrotechnical Commission)
IEEE (Institute of Electrical and Electronics Engineers)
Ignite Technologies
Imanis Data
Impetus Technologies
INCITS (InterNational Committee for Information Technology Standards)
Incorta
InetSoft Technology Corporation
Infer
InfluxData
Infogix
Infor
Informatica
Information Builders
Infosys
Infoworks
Insightsoftware.com
InsightSquared
Intel Corporation
Interana
InterSystems Corporation
ISO (International Organization for Standardization)
ITU (International Telecommunication Union)
Jedox
Jethro
Jinfonet Software
JJ Food Service
JPMorgan Chase & Co.
Juniper Networks
Kaiser Permanente
KALEAO
Keen IO
Keyrus
Kinetica
KNIME
Kofax
Kognitio
Kyvos Insights
Lavastorm
Leadspace
LeanXcale
Lexalytics
Lexmark International
Lightbend
Linux Foundation
Logi Analytics
Logical Clocks
Longview Solutions
Looker Data Sciences
LucidWorks
Luminoso Technologies
Maana
Magento Commerce
Manthan Software Services
MapD Technologies
MapR Technologies
MariaDB Corporation
MarkLogic Corporation
Marriott International
Mathworks
Melissa
Memphis Police Department
MemSQL
Mercer
METI (Ministry of Economy, Trade and Industry, Japan)
Metric Insights
Michelin
Microsoft Corporation
MicroStrategy
Ministry of State Security, China
Minitab
MongoDB
Mu Sigma
NEC Corporation
Neo4j
NetApp
Netflix
Neustar
New York State Department of Taxation and Finance
NextBio
NFL (National Football League)
Nimbix
Nokia
Northwest Analytics
Nottingham Trent University
Novartis
NTT Data Corporation
NTT Group
Numerify
NuoDB
Nutonian
NVIDIA Corporation
OASIS (Organization for the Advancement of Structured Information Standards)
Objectivity
Oblong Industries
ODaF (Open Data Foundation)
ODCA (Open Data Center Alliance)
ODPi (Open Ecosystem of Big Data)
Ofcom
OGC (Open Geospatial Consortium)
Oncor Electric Delivery Company
ONS (Office for National Statistics, United Kingdom)
OpenText Corporation
Opera Solutions
Optimal Plus
Optum
OptumLabs
Oracle Corporation
OTP Bank
OVG Real Estate
Palantir Technologies
Panasonic Corporation
Panorama Software
Paxata
Pentaho
Pepperdata
Pfizer
Philips
Phocas Software
Pivotal Software
Predixion Software
Primerica
Procter & Gamble
Prognoz
Progress Software Corporation
Provalis Research
Purdue University
Pure Storage
PwC (PricewaterhouseCoopers International)
Pyramid Analytics
Qlik
Qrama/Tengu
Qualcomm
Quantum Corporation
Qubole
Rackspace
Radius Intelligence
RapidMiner
Recorded Future
Red Hat
Redis Labs
RedPoint Global
Reltio
Rocket Fuel
Rosenberger
Royal Bank of Canada
Royal Dutch Shell
Royal Navy
RSA Group
RStudio
Rubrik
Ryft
Sailthru
Salesforce.com
Salient Management Company
Samsung Electronics
Samsung Group
Samsung SDS
Sanofi
SAP
SAS Institute
ScaleArc
ScaleOut Software
Scaleworks
Schneider Electric
SCIO Health Analytics
Seagate Technology
Search Technologies
Siemens
Sinequa
SiSense
Sizmek
SnapLogic
Snowflake Computing
SoftBank Group
Software AG
SpagoBI Labs
Sparkline Data
Splice Machine
Splunk
Sqrrl
Strategy Companion Corporation
Stratio
Streamlio
StreamSets
Striim
Sumo Logic
Supermicro (Super Micro Computer)
Syncsort
SynerScope
SYNTASA
Tableau Software
Talend
Tamr
TARGIT
TCS (Tata Consultancy Services)
TEOCO
Teradata Corporation
Tesco
Thales
The Walt Disney Company
The Weather Company
Thomson Reuters
ThoughtSpot
TIBCO Software
Tidemark
TM Forum
T-Mobile USA
Toshiba Corporation
TPC (Transaction Processing Performance Council)
Transwarp
Trifacta
Twitter
U.S. Air Force
U.S. Army
U.S. CBP (Customs and Border Protection)
U.S. Coast Guard
U.S. Department of Commerce
U.S. Department of Defense
U.S. DHS (Department of Homeland Security)
U.S. ICE (Immigration and Customs Enforcement)
U.S. NASA (National Aeronautics and Space Administration)
U.S. NIST (National Institute of Standards and Technology)
U.S. NSA (National Security Agency)
Unifi Software
UnitedHealth Group
Unravel Data
USCIS (U.S. Citizenship and Immigration Services)
VANTIQ
Vecima Networks
Verizon Communications
Vmware
Vodafone Group
VoltDB
W3C (World Wide Web Consortium)
WANdisco
Waterline Data
Wavefront
Western Digital Corporation
WhereScape
WiPro
Wolfram Research
Workday
Xplenty
Yellowfin BI
Yseop
Zendesk
Zoomdata
Zucchetti
Zurich Insurance Group

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