Global Big Data Market Outlook 2024: Global Opportunity And Demand Analysis, Market Forecast, 2016-

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Visibility Report Code :AFT 1235

2016-2024

Global Big Data Market Outlook 2024: Global Opportunity & Growth Analysis, 20162024

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Executive Summary

Sample Request Global Big Data Market Share (%), By Region-2016-2024

Global Big Data Market Size USD (Billion). 2016-2024

XX%

CAGR: (2016-2024)

2016

2017

2018

2019

2020

2021

2022

2023

2024

North America

Source: Goldstein Research

In 2016,

8.00% 7.00% 30.00 % 2024 27.00 % 28.00 %

8.00 7.00 33.0 % % 0% 25.0 2016 0% 27.0 0% Asia-Pacific

Europe

Middle East & Africa

Source: Goldstein Research

Softwares accounted for the highest market share XX%

With

in Global Big Data Market

Global Big Data Market Share (%), By Type Of Data-2016

XX%

Unstructured Data XX%

XX% share in 2016, North America region dominated the Global Big Data Market

Global Big Data Market Share (%), By Components-2016

Global Big Data Market Share (%), By Application-2016

Financial Analytics

XX%

Hardware

XX%

XX%

Software

XX%

Risk Analytics

Semi Structured

Customer Analytics

Services

Structured Data

XX%

XX%

Source: Goldstein Research

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Latin America

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XX%

XX%

Source: Goldstein Research

Source: Goldstein Research

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Operational Analytics


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Key Findings

 The global big data market is expected to reach USD XX billion by 2024, from an estimated USD XX billion in 2016, growing at a CAGR of XX% during 2016-2024. The demands of analyzing big data are growing with the increase in the number of mobile apps and devices paving way for the acceptance of big data services and solutions across many organizations.  The ecosystem of big data comprises of big data solution, and demand side and service providers. The major vendors are Microsoft Corporation, International Business Machines (IBM), Hewlett-Packard Enterprises, Oracle, SAS Institute, SAP SE, Dell Incorporation, Amazon Web Services, Splunk, and Teradata, etc. Other major innovators like Hitachi, Gooddata, Palantir, Mongo DB and Cloudera offer relatively narrower but locally effective distribution networks and solutions in the big data market ecosystem.

Huge Penetration in Banking & Finance Industry

 On the demand side, we have the end users of big data services and solutions for government and defense, BSFI, manufacturing, healthcare and life sciences, transportation, retail and consumer goods, academia and research, energy and utility, media and entertainment, IT and telecommunication, etc. The big data market includes services and software, which eventually were segmented into big data analytics, visualization, data discovery and big data management software; as well as training and support, consulting and system integration, and managed services. Not too long ago, big data market showed excellent growth in its rate of adoption and is widely segmented by big data type, component (services and software), vertical, deployment model and region.

Increase of Processing Power

 While many organizations have achieved proficiency in exploiting their data through data analysis, they are still at the early stages of creating an analytic model that can deliver real business value from big data. The main obstacles are these slow and arcane processes for enabling direct and timely access to corporate data. However, new technologies are collapsing the old walls between IT and data analysts by enabling advanced analytics within the database itself, alleviating the need to move large volumes of data around

Rising Storage Capacities

Global Big Data Market, By Region, Adoption Rate (%) 2016-2024

Copyright

Asia-Pacific

North America

Europe

2016

XX %

XX %

XX %

XX %

Middle East & Africa XX %

2024

XX %

XX %

XX %

XX %

XX %

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Latin America

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Global Big Data Market Overview, By Region and Market Players-2016 Global Big Data Market Share (%), On The Basis Of Internet Users, 2016 XX%

China

XX% XX%

XX%

India

XX%

United States Brazil

XX%

m a S Indonesia

XX%

Japan

Russia

XX%

Mexico

XX%

XX%

Germany

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Global Big Data Market Share (%) , By Companies, 2016

e l p XX%

XX%

XX% XX% XX%

XX%

XX%

XX%

Tableau

New Relic

Alation

Teradata

VMware

Splunk

IBM

Striim

SAP

Alpine Data Labs

Oracle

Alteryx

XX%

XX%

XX%

XX%

United Kingdom

Source: Goldstein Research

Source: Goldstein Research

 North America and Asia-Pacific are anticipated to hold major revenue share of big data market over the forecast period. North America held XX% share of global big data industry in 2016 and is projected to hold XX% by 2024. Amazon Web Services makes it to the list because of their Kinesis range of tools and other tool sets that can help collect and analyze large datasets efficiently while Alpine Data Labs is one of the best in big data analytics because of their easy-to-use yet advanced interface. Country size is also a factor. Smaller countries with strong institutions can create high value as early adopters and create a demonstration effect for the world by assembling the right ecosystem. Traditional trading hubs (such as Hong Kong, Singapore, and the UK) and emerging digital hubs (such as New Zealand and Estonia) can take the lead in creating such “smart” digitally enabled ecosystems. Copyright

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Market Dynamics

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Growth Drivers

Growth Barriers

Digitally Mature Big Data Adopters

Lack of Awareness About AIpowered applications

Led By Tech Giants

Slow Pace Of Digital And Analytics Transformation Of The Economy

General Trend

Highly Complex

Moderately Complex Big Data

Waived


Growth Drivers

Sample Request

Firms And Industries Already On The Digital Frontier Are Adopting Big Data

Penetration Rate (%) of Big Data in Various Verticals, 2016

 Investors are pouring billions of dollars into Big Data companies based on the hope that a market of big data adopters will develop fairly quickly and will be willing to pay for big data infrastructure, platforms, and services  Clearly, Amazon, Google, and other digital natives are investing for their own applications, such as optimizing searches and personalizing marketing

Employment & Workplace Public Safety & Security

m a S Future Drivers of Big Data

Large-scale machine learning

e l p

Computer vision

Copyright

Deep learning

Reinforcement learning

Robotics

Natural Language Processing

Collaborative systems

Crowdsourcing and human computation

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XX%

Low Resource Communities

 Independently of sectors, large companies tend to invest in big data faster at scale. This again is typical of digital adoption, in which, for instance, small and midsized businesses have typically lagged behind in their decision to invest in new technologies

 The most valuable non-American company, 7th overall in July 2017, was China’s e-commerce giant, Alibaba Group. With products that rely on network effects, these players enjoy economies of scale and dominant market share. They have deep resources for innovation with the ability to accelerate the penetration and adoption of digital products.

XX%

XX%

Education

XX%

Healthcare

XX%

Home/Service Robots

XX%

Transportation

Source: Goldstein Research

XX% 0%

10%

20%

30%

40%

50%

Impact Analysis: The generation of large volumes of data due to the adoption of IoT has increased the need for necessary tools to process large data volumes and generate actionable insights. Big data analytics improves the analyzing abilities of sensor data and data collection of industrial equipment such as turbines and oil refineries.  To manage their big data projects better, organizations are also outsourcing their projects. These services assist organizations in their business aims and technical requirements with optimal architectures, improvement necessities, and technology options for big data implementations.

High

Medium

Impact on Big Data Market www.goldsteinresearch.com

Low


Global Big Data Market Opportunity, 2016-2024 The The Biggest Biggest Opportunities Opportunities Are Are In In The The Continued Continued Evolution Evolution Of Of Big Big Data Data Make it easy for people to use our infrastructure and focus on data mining

React in real time based on where the users are located

to get useful information from data via the cloud and solutions as a service

Offload your IT architecture to AWS and focus on your business

Analysis of data by computers by enriching the data by enabling lookups.

handling of larger datasets, containers, and micro services

Source: Goldstein Research Big Big Data Data Revenue Revenue Generated Generated in in Banking Banking Sector Sector (USD (USD Billion), Billion), 2016-2024 2016-2024

XX Billion 2016

XX Billion 2024

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 Tie in real-time operations to telecom providers in Japan automatically directing antennae for cell phones based on need. React in real time based on where the users are located.  Managing things centrally makes sense. All companies are scrambling to become part of Amazon. We want to make our product available on AWS. Redundant, virtualized systems in the public cloud. This is a Capex versus Op Ex versus core competency decision. Offload your IT architecture to AWS and focus on your business. Trust someone else to maintain the environment and use as a service. Moore’s law in computing power continues to enable the handling of larger datasets, containers, and microservices. Integration challenges are being solved. IT needs to focus on the right problem, set-up, configure, maintain, and manage disparate data sources to innovate like Tesla and Uber. Insights everywhere for everyone – not just the elite. Take big data, business intelligence, and analytics to 100% of the population. Everyone can use analytics just like everyone can read and write. Convergence of software, data, and machine learning. AR/VR via mobile. Blockchain is getting less buzz but being able to share data to get an outside perspective without moving the data is a tremendous opportunity. Attributes and scores are based on data that’s secure and encrypted.

Source: Goldstein Research

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Global Big Data Market Size (USD Billion) By End User Industry, 2016-2024

End User/Year

2016

2017

2018

2019

2020

2021

2022

2023

2024

CAGR(%)

Banking & Finance

XX

XX

XX

XX

XX

XX

XX

XX

XX

XX%

Healthcare

XX

XX

XX

XX

XX

XX

XX

XX

XX

XX%

Manufacturing

XX

XX

XX

XX

XX

XX

XX

XX

XX

XX%

Logistics & Transportation

XX

XX

XX

XX

XX

XX

XX

XX

XX

XX%

Energy & Utilities

XX

XX

XX

XX

XX

XX

XX

XX

XX

XX%

IT & Telecommunic ation

XX

XX

XX

XX

XX

XX

XX

XX

XX

XX%

Other (Education, etc)

XX

XX

XX

XX

XX

XX

XX

XX

XX

XX%

Source: Goldstein Research Copyright

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About Us Based in U.S., Goldstein Research is a young business consulting and market research firm with vast reach across America, Asia and parts of Europe and the Middle East. In the next five years, we strive to expand our reach to 50+ nations spanning across Europe, Asia and parts of the Middle East and Africa. We strive to realize a strong brand presence globally through our quality research and forecasting solutions. With 30+ domain experts and 50+ employees working day and night to crunch numbers and bring out the best and detailed market reports and forecasts, we strive to enable you to foresee upcoming market challenges and develop a robust business model and strategies, which would add to your profitability and market visibility as a brand. Our mission is simple: to develop insightful business solutions, help our clients make powerful future decisions to keep them well ahead of the game which is the market, and leave a mark across businesses and communities through our well-defined ideas and clear cut forecasts. Our mission is simple: to develop insightful business solutions, help our clients make powerful future decisions to keep them well ahead of the game which is the market, and leave a mark across businesses and communities through our well-defined ideas and clear cut forecasts.

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