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

Release Date: June 2018

Number of Pages: 549

Number of Tables and Figures: 89

Synopsis: “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. SNS Telecom & IT 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.

Sample Request:

For a Sample and Table of Contents please contact info@snstelecom.com

Pricing:

The report is available for the following price:

  • Single User License: USD 2,500
  • Company Wide License: USD 3,500

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.

Topics Covered:

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 categories:

  • 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?

List of Companies Mentioned:

The following companies and organizations have been reviewed, discussed or mentioned in the report:

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

EVŌ (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