Global Big Data in Oil and Gas Market and Global Big Data in Manufacturing Industry Size, Share & Analysis by Key Players, Application Top Region, Product and 2025 Forecast Period

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“Global Big Data in Oil and Gas Market”

The Global Big Data in Oil and Gas Market size, industry status and forecast, competition landscape and growth opportunity. This research report categorizes the global Big Data in Oil and Gas market by companies, region, type and end-use industry.

Big data refers to information that is complex and large in size such that traditional data process applications are incompetent. The concept of big data and analytics s fairly new to a few industries, but the oil & gas sector has been one of the major consumers of this service as the industry deals with a large volume of data to formulate several technical decisions.

The growing need to improve productivity to be one of the primary growth drivers for the global big data market in the oil and gas sector till 2022. Companies are highly benefited from the application of big data solutions to understand and leverage the data in upstream oil and gas as it enables them to remain competitive during exploration, planning, and field development.

North America big data market is anticipated to become the dominant region accounting for more than a quarter of total share over the forecast period. Europe is also expected to see substantial demand over the forecast period as the administrative and government sectors increasingly focus on intensifying operational efficiency along with increasing usage. Asia Pacific is expected to be one of the fastest growing markets for big data over the forecast period in light of various developments in emerging economies including India and China which are anticipated to switch to big data for making any kind of strategic decisions.

In 2017, the global Big Data in Oil and Gas market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of xx% during 2018-2025.

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This report focuses on the global top players, covered

HPE

IBM

Oracle

Teradata

Market segment by Regions/Countries, this report covers

United States

Europe

China

Japan

Southeast Asia

India

Market segment by Type, the product can be split into

Software

Services

Market segment by Application, split into

Oil

Gas

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The study objectives of this report are:

To study and forecast the market size of Big Data in Oil and Gas in global market.

To analyze the global key players, SWOT analysis, value and global market share for top players.

To define, describe and forecast the market by type, end use and region.

To analyze and compare the market status and forecast between China and major regions, namely, United States, Europe, China, Japan, Southeast Asia, India and Rest of World.

To analyze the global key regions market potential and advantage, opportunity and challenge, restraints and risks.

To identify significant trends and factors driving or inhibiting the market growth.

To analyze the opportunities in the market for stakeholders by identifying the high growth segments.

To strategically analyze each submarket with respect to individual growth trend and their contribution to the market

To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market

To strategically profile the key players and comprehensively analyze their growth strategies.

 

Another Report:-“Global Big Data in Manufacturing Market

The Global Big Data in Manufacturing Market size, industry status and forecast, competition landscape and growth opportunity. This research report categorizes the global Big Data in Manufacturing market by companies, region, type and end-use industry.

Big data is a term used for large volume of structured and unstructured data stored on a daily basis. Further, big data analytics technique is implemented by the companies to examine market trends, hidden patterns, and other useful information, which helps in making effective business decisions. Big data analytics in manufacturing helps enterprises in better supply chain planning, process defect tracking, and components defect tracking. Predictive analytics is one of the major applications of big data analytics used to extract information from data, and predict trends and behavior patterns.

Rise in demand for big data across various industry verticals and increase in demand for big data in manufacturing to reduce the production defects and optimize supply chain management are expected to boost the market. It is estimated that the data generated in a day in current global scenario is equivalent to the data generated in last decade. To handle such huge amounts of data, Big Data has often proved to be a useful tool. With the concept of Industry 4.0 shaping the production establishments in the modern manufacturing industry, the amount of data produced from the manufacturing sector grew rapidly. However, integration of big data is a complex process, which is expected to hinder the market growth. Moreover, adoption of manufacturing analytics by various automobile manufacturers presents a major opportunity for the key players in the manufacturing market.

In 2017, the global Big Data in Manufacturing market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of xx% during 2018-2025.

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This report focuses on the global top players, covered

EMC

HP

IBM

Oracle

Market segment by Regions/Countries, this report covers

United States

Europe

China

Japan

Southeast Asia

India

Market segment by Type, the product can be split into

Discrete Manufacturing

Process Manufacturing

Mixed-Mode Manufacturing

Market segment by Application, split into

Predictive Maintenance

Budget Monitoring

Product Lifecycle Management

Field Activity Management

Others

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In this study, the years considered to estimate the market size of Big Data in Manufacturing are as follows:

History Year: 2013-2017

Base Year: 2017

Estimated Year: 2018

Forecast Year 2018 to 2025

For the data information by region, company, type and application, 2017 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.

Key Stakeholders

Big Data in Manufacturing Manufacturers

Big Data in Manufacturing Distributors/Traders/Wholesalers

Big Data in Manufacturing Subcomponent Manufacturers

Industry Association

Downstream Vendors

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