Big Data Market Enabling Technologies, Applications, Standardization, Key Trends Forecasts 2030

Big Data Market
WiseGuyReports.Com Publish a New Market Research Report On –“ Big Data Market Enabling Technologies, Applications, Standardization, Key Trends Forecasts 2030”.

 

“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.

 

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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

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?

 

Complete Report Details @   https://www.wiseguyreports.com/reports/3229170-the-big-data-market-2018-2030-opportunities-challenges

 

Table Of Contents – Major Key Points

Chapter 1: Introduction

Executive Summary

Topics Covered

Forecast Segmentation

Key Questions Answered

Key Findings

Methodology

Target Audience

Companies & Organizations Mentioned

 

Chapter 2: An Overview of Big Data

What is Big Data?

Key Approaches to Big Data Processing

Hadoop

NoSQL

MPAD (Massively Parallel Analytic Databases)

In-Memory Processing

Stream Processing Technologies

Spark

Other Databases & Analytic Technologies

Key Characteristics of Big Data

Volume

Velocity

Variety

Value

Market Growth Drivers

Awareness of Benefits

Maturation of Big Data Platforms

Continued Investments by Web Giants, Governments & Enterprises

Growth of Data Volume, Velocity & Variety

Vendor Commitments & Partnerships

Technology Trends Lowering Entry Barriers

Market Barriers

Lack of Analytic Specialists

Uncertain Big Data Strategies

Organizational Resistance to Big Data Adoption

Technical Challenges: Scalability & Maintenance

Security & Privacy Concerns

 

Chapter 3: Big Data Analytics

What are Big Data Analytics?

The Importance of Analytics

Reactive vs. Proactive Analytics

Customer vs. Operational Analytics

Technology & Implementation Approaches

Grid Computing

In-Database Processing

In-Memory Analytics

Machine Learning & Data Mining

Predictive Analytics

NLP (Natural Language Processing)

Text Analytics

Visual Analytics

Graph Analytics

Social Media, IT & Telco Network Analytics

Continued…..

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