Global Big Data Market 2017-2030 - $76 Billion Opportunities

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Sep 21, 2017, 12:45 ET

DUBLIN, September 21, 2017 /PRNewswire/ --

The "The Big Data Market: 2017 - 2030 - Opportunities, Challenges, Strategies, Industry Verticals and Forecasts" report from SNS Research has been added to Research and Markets' offering.

The Big Data Market: 2017 - 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 market share and strategies. The report also presents market size forecasts for Big Data hardware, software and professional services from 2017 through to 2030. The forecasts are further segmented for 8 horizontal submarkets, 14 vertical markets, 6 regions and 35 countries.

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. The author estimates that Big Data investments will account for over $57 Billion in 2017 alone. These investments are further expected to grow at a CAGR of approximately 10% over the next three years.

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

Key Questions Answered

How big is the Big Data ecosystem?
How is the ecosystem evolving by segment and region?
What will the market size be in 2020 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

In 2017, Big Data vendors will pocket over $57 Billion from hardware, software and professional services revenues. These investments are further expected to grow at a CAGR of approximately 10% over the next four years, eventually accounting for over $76 Billion by the end of 2020.
As part of wider plans to revitalize their economies, countries across the world are incorporating legislative initiatives to capitalize on Big Data. For example, the Japanese government is engaged in developing intellectual property protection and dispute resolution frameworks for Big Data assets, in a bid to encourage data sharing and accelerate the development of domestic industries.
By the end of 2017, estimates suggest that as much as 30% of all Big Data workloads will be processed via cloud services as enterprises seek to avoid large-scale infrastructure investments and security issues associated with on-premise implementations.
The vendor arena is continuing to consolidate with several prominent M&A deals such as computer hardware giant Dell's $60 Billion merger with data storage specialist EMC.

Topics Covered

The report covers the following topics:

Big Data ecosystem
Market drivers and barriers
Big Data technology, standardization and regulatory initiatives
Big Data industry roadmap and value chain
Analysis and use cases for 14 vertical markets
Big Data analytics technology and case studies
Big Data vendor market share
Company profiles and strategies of 240 Big Data ecosystem players
Strategic recommendations for Big Data hardware, software and professional services vendors, and enterprises
Market analysis and forecasts from 2017 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

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
Alteryx
Altiscale
Amazon.com
Ambulance Victoria
AMD (Advanced Micro Devices)
Amgen
Amino
ANSI (American National Standards Institute)
Antivia
Apixio
Arcadia Data
Arimo
ARM
ASF (Apache Software Foundation)
AstraZeneca
AT&T
Atos
AtScale
Attivio
Attunity
Automated Insights
AWS (Amazon Web Services)
Axiomatics
Ayasdi
BAE Systems
Baidu
Barclays Bank
Basho Technologies
BCG (Boston Consulting Group)
Bedrock Data
BetterWorks
Big Cloud Analytics
Big Panda
Bina Technologies
Biogen
Birst
Bitam
Blue Medora
BlueData Software
BlueTalon
BMC Software
BMW
BOARD International
Boeing
Booz Allen Hamilton
Boxever
British Gas
Brocade
BT Group
CACI International
Cambridge Semantics
Capgemini
Capital One Financial Corporation
Cazena
CBA (Commonwealth Bank of Australia)
CBP (U.S. Customs and Border Protection)
Centrifuge Systems
CenturyLink
Chartio
Cisco Systems
Civis Analytics
ClearStory Data
Cloudability
Cloudera
Clustrix
CognitiveScale
Collibra
Concurrent Computer Corporation
Confluent
Constant Contact
Contexti
Continuum Analytics
Coriant
Couchbase
Credit Agricole Group
CrowdFlower
CSA (Cloud Security Alliance)
CSCC (Cloud Standards Customer Council)
Databricks
DataGravity
Dataiku
Datameer
DataRobot
DataScience
DataStax
DataTorrent
Datawatch Corporation
Datos IO
DDN (DataDirect Networks)
Decisyon
Dell EMC
Dell Technologies
Deloitte
Delphi Automotive
Demandbase
Denodo Technologies
Denso Corporation
DGSE (General Directorate for External Security, France)
DHS (U.S. Department of Homeland Security)
Digital Reasoning Systems
Dimensional Insight
DMG (Data Mining Group)
Dolphin Enterprise Solutions Corporation
Domino Data Lab
Domo
Dow Chemical Company
DriveScale
DT (Deutsche Telekom)
Dubai Police
Dundas Data Visualization
DXC Technology
eBay
Edith Cowen University
Eligotech
Engineering Group (Engineering Ingegneria Informatica)
EnterpriseDB
eQ Technologic
Ericsson
EXASOL
Facebook
FDNY (Fire Department of the City of New York)
FICO (Fair Isaac Corporation)
Ford Motor Company
Fractal Analytics
Fujitsu
Fuzzy Logix
Gainsight
GE (General Electric)
Glasgow City Council
Glassbeam
GoodData Corporation
Google
Greenwave Systems
GridGain Systems
GSK (GlaxoSmithKline)
Guavus
H2O.ai
HDS (Hitachi Data Systems)
Hedvig
Hitachi
Hortonworks
HPE (Hewlett Packard Enterprise)
HSBC Group
Huawei
IBM Corporation
ICE (U.S. Immigration and Customs Enforcement)
iDashboards
IEC (International Electrotechnical Commission)
IEEE (Institute of Electrical and Electronics Engineers)
Impetus Technologies
INCITS (InterNational Committee for Information Technology Standards)
Incorta
InetSoft Technology Corporation
Infer
Infor
Informatica Corporation
Information Builders
Infosys
Infoworks
Insightsoftware.com
InsightSquared
Intel Corporation
Interana
InterSystems Corporation
ISO (International Organization for Standardization)
ITU (International Telecommunications Union)
Jedox
Jethro
Jinfonet Software
JJ Food Service
JPMorgan Chase & Co.
Juniper Networks
Kaiser Permanente
KALEAO
Keen IO
Kinetica
KNIME
Kofax
Kognitio
Kyvos Insights
Lavastorm
Lexalytics
Lexmark International
Linux Foundation
Logi Analytics
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
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
NASA (U.S. National Aeronautics and Space Administration)
Neo Technology
NetApp
Netflix
Neustar
New York State Department of Taxation and Finance
NextBio
NFL (U.S. National Football League)
Nimbix
NIST (U.S. National Institute of Standards and Technology)
Nokia
Northwest Analytics
Nottingham Trent University
Novartis
NSA (U.S. National Security Agency)
NTT Data Corporation
NTT Group
Numerify
NuoDB
Nutonian
NVIDIA Corporation
OASIS (Organization for the Advancement of Structured Information Standards)
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
Oracle Corporation
Otonomo
OTP Bank
OVG Real Estate
Palantir Technologies
Panorama Software
Paxata
Pentaho Corporation
Pepperdata
Pfizer
Philips
Phocas Software
Pivotal Software
Predixion Software
Primerica
Procter & Gamble
Prognoz
Progress Software Corporation
Purdue University
PwC (PricewaterhouseCoopers International)
Pyramid Analytics
Qlik
Qualcomm
Quantum Corporation
Qubole
Rackspace
Radius Intelligence
RapidMiner
Recorded Future
Red Hat
Redis Labs
RedPoint Global
Reltio
Roche
Rosenberger
Royal Bank of Canada
Royal Dutch Shell
Royal Navy
RSA Group
RStudio
Ryft Systems
Sailthru
Salesforce.com
Salient Management Company
Samsung Electronics
Samsung Group
Samsung SDS
Sanofi
SAP
SAS Institute
ScaleDB
ScaleOut Software
Schneider Electric
SCIO Health Analytics
Seagate Technology
Siemens
Sinequa
SiSense
SnapLogic
Snowflake Computing
SoftBank Group
Software AG
SpagoBI Labs
Splice Machine
Splunk
Sqrrl
Strategy Companion Corporation
StreamSets
Striim
Sumo Logic
Supermicro (Super Micro Computer)
Syncsort
SynerScope
Tableau Software
Talena
Talend
Tamr
TARGIT
TCS (Tata Consultancy Services)
TEOCO
Teradata Corporation
Tesco
The Weather Company
Thomson Reuters
ThoughtSpot
TIBCO Software
Tidemark
TM Forum
T-Mobile USA
Toshiba Corporation
Toyota Motor Corporation
TPC (Transaction Processing Performance Council)
Trifacta
U.S. Air Force
U.S. Army
U.S. Coast Guard
U.S. Department of Commerce
U.S. Department of Defense
UCB
Unravel Data
USCIS (U.S. Citizenship and Immigration Services)
Valens
Verizon Communications
VMware
Vodafone Group
VoltDB
W3C (World Wide Web Consortium)
Walt Disney Company
Waterline Data
Wavefront
Western Digital Corporation
WiPro
Workday
Xevo
Xplenty
Yellowfin International
Yseop
Zendesk
Zoomdata
Zucchetti
Zurich Insurance Group

For more information about this report visit https://www.researchandmarkets.com/research/sxwc42/the_big_data

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