Dublin, June 22, 2018 (GLOBE NEWSWIRE) -- The "The Big Data Market: 2018 - 2030 - Opportunities, Challenges, Strategies, Industry Verticals & Forecasts" report from SNS Telecom & IT has been added to ResearchAndMarkets.com's offering.

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 to 2030. The forecasts are 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 research estimates that Big Data investments will account for over $65 Billion in 2018 alone.

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

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 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

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.

Key Topics Covered:

Chapter 1: Introduction
1.1 Executive Summary
1.2 Topics Covered
1.3 Forecast Segmentation
1.4 Key Questions Answered
1.5 Key Findings
1.6 Methodology
1.7 Target Audience
1.8 Companies & Organizations Mentioned

Chapter 2: An Overview of Big Data
2.1 What is Big Data?
2.2 Key Approaches to Big Data Processing
2.3 Key Characteristics of Big Data
2.4 Market Growth Drivers
2.5 Market Barriers

Chapter 3: Big Data Analytics
3.1 What are Big Data Analytics?
3.2 The Importance of Analytics
3.3 Reactive vs. Proactive Analytics
3.4 Customer vs. Operational Analytics
3.5 Technology & Implementation Approaches

Chapter 4: Big Data in Automotive, Aerospace & Transportation
4.1 Overview & Investment Potential
4.2 Key Applications
4.3 Case Studies

Chapter 5: Big Data in Banking & Securities
5.1 Overview & Investment Potential
5.2 Key Applications
5.3 Case Studies

Chapter 6: Big Data in Defense & Intelligence
6.1 Overview & Investment Potential
6.2 Key Applications
6.3 Case Studies

Chapter 7: Big Data in Education
7.1 Overview & Investment Potential
7.2 Key Applications
7.3 Case Studies

Chapter 8: Big Data in Healthcare & Pharma
8.1 Overview & Investment Potential
8.2 Key Applications
8.3 Case Studies

Chapter 9: Big Data in Smart Cities & Intelligent Buildings
9.1 Overview & Investment Potential
9.2 Key Applications
9.3 Case Studies

Chapter 10: Big Data in Insurance
10.1 Overview & Investment Potential
10.2 Key Applications
10.3 Case Studies

Chapter 11: Big Data in Manufacturing & Natural Resources
11.1 Overview & Investment Potential
11.2 Key Applications
11.3 Case Studies


Chapter 12: Big Data in Web, Media & Entertainment
12.1 Overview & Investment Potential
12.2 Key Applications
12.3 Case Studies

Chapter 13: Big Data in Public Safety & Homeland Security
13.1 Overview & Investment Potential
13.2 Key Applications
13.3 Case Studies

Chapter 14: Big Data in Public Services
14.1 Overview & Investment Potential
14.2 Key Applications
14.3 Case Studies

Chapter 15: Big Data in Retail, Wholesale & Hospitality
15.1 Overview & Investment Potential
15.2 Key Applications
15.3 Case Studies

Chapter 16: Big Data in Telecommunications
16.1 Overview & Investment Potential
16.2 Key Applications
16.3 Case Studies

Chapter 17: Big Data in Utilities & Energy
17.1 Overview & Investment Potential
17.2 Key Applications
17.3 Case Studies

Chapter 18: Future Roadmap & Value Chain
18.1 Future Roadmap
18.2 The Big Data Value Chain

Chapter 19: Standardization & Regulatory Initiatives
19.1 ASF (Apache Software Foundation)
19.2 CSA (Cloud Security Alliance)
19.3 CSCC (Cloud Standards Customer Council)
19.4 DMG (Data Mining Group)
19.5 IEEE (Institute of Electrical and Electronics Engineers)
19.6 INCITS (InterNational Committee for Information Technology Standards)
19.7 ISO (International Organization for Standardization)
19.8 ITU (International Telecommunication Union)
19.9 Linux Foundation
19.10 NIST (National Institute of Standards and Technology)
19.11 OASIS (Organization for the Advancement of Structured Information Standards)
19.12 ODaF (Open Data Foundation)
19.13 ODCA (Open Data Center Alliance)
19.14 OGC (Open Geospatial Consortium)
19.15 TM Forum
19.16 TPC (Transaction Processing Performance Council)
19.17 W3C (World Wide Web Consortium)

Chapter 20: Market Sizing & Forecasts
20.1 Global Outlook for the Big Data Market
20.2 Submarket Segmentation
20.3 Vertical Market Segmentation

Chapter 21: Vendor Landscape

Chapter 22: Conclusion & Strategic Recommendations
22.1 Why is the Market Poised to Grow?
22.2 Moving Towards Consolidation: Review of M&A Activity in the Vendor Arena
22.3 Maturation of AI (Artificial Intelligence): From Machine Learning to Deep Learning
22.4 Blockchain: Impact on Big Data
22.5 The Emergence of Edge Analytics
22.6 Beyond Data Capture & Analytics
22.7 Transforming IT from a Cost Center to a Profit Center
22.8 Can Privacy Implications Hinder Success?
22.9 Maximizing Innovation with Careful Regulation
22.10 Battling Organizational & Data Silos
22.11 Moving Big Data to the Cloud
22.12 Software vs. Hardware Investments
22.13 Vendor Share: Who Leads the Market?
22.14 Big Data Driving Wider IT Industry Investments
22.15 Assessing the Impact of the IoT
22.16 Recommendations

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
  • EVO (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
  • T-Mobile USA
  • 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
  • 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

For more information about this report visit https://www.researchandmarkets.com/research/wjbchf/big_data_market?w=12

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Related Topics: Big Data