Big Data Market To 2024: Key Component Categories (Software, Service), Type (Structured, Unstructured, Semi-Structured), Industry Vertical, Regional Segmentation, Competitive Dynamics, M&A Insights, Pricing Analysis (OPP, IPP, RAP) And Segment Forecast

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Global Big Data Market was valued at $33.02 Billion in 2015 and is estimated to grow at a CAGR of over 11% from 2016 to 2024.

 

Rapid increase in big data technology instigates enterprises to implement robust security solutions to protect the data resulting in the advent of big data security intelligence. Escalating need to manage and secure the rising amount of data is increasingly prompting companies to adopt efficient security solutions. The security analytics market is expected to witness growth of over 20% over the period of 2016 to 2024.

 

Big data analytics is used to provide precise and accurate business insights to enterprises. Companies make use of several analytics solutions including predictive analysis, sentiment analysis and real time analysis. The big data software revenue is anticipated to reach $10 Billion by 2024 with an estimated CAGR of more than 20% over the forecast period.

 

North America Big Data Market, By Industry Vertical, 2014 – 2024 (USD Million)

North America Big Data Market, By Industry Vertical, 2014 - 2024 (USD Million)

 

The amount of data flowing across organizations, both small and medium and large-scale has witnessed immense growth over the last few years, and the trend continues. However, managing and identifying valuable data from massive amount of data is a challenge. Evolving consumer demand, contracting budgets are impacted by propagating data, and put considerable pressure on organizations to make right decision to achieve competitive advantage. Big Data is an easy solution to overcome the given situation and efficiently access data.

 

The industry has witnessed exponential growth in amount of both structured and unstructured data across several sectors. Collecting, storing and exploiting this huge data amount has become a crucial task for companies. Need for tools to manage this substantial data amount is expected to fuel the big data market. Organizations collect and store data with a view to extract information from historical data to gain insights. This is done with the purpose of analyzing data to make precise decisions, which help in improving risk mitigation, operational efficiencies and cost reduction. Understanding the potential of big data analytics, numerous sectors have started deploying the same across their systems including healthcare, e-commerce, IT, banking, retails, media & entertainment and telecom.

 

Manufacturers are increasingly investing in R&D for developing unified big data solutions that offers increased capabilities. Vendors are undertaking efforts to decrease hardware costs in order to seize competitive advantage. The industry is also witnessing emergence of several startups. Manufacturers are also expected to focus on venture funding and mergers & acquisitions over the coming years owing to technology advancement and complex ecosystem.

 

“Optimal Price Point (OPP) for Big Data Solution”

 

Estimated Average solution cost – $ xx globally. However, with growth in machine data, growing solution implementation and increasing SMEs, OPP and range of acceptable Prices (RAP) are going to change. We at Ameri Research continuously track these prices with our proprietary pricing model.

 

“Big data analytics to overcome rising advanced issues”

 

Big data analytics is used to provide precise and accurate business insights to Enterprises. Using these analytical platforms, big data vendors have built application based solutions such as forecasting models, risk modeling and managing customer relationship. Additionally, enterprises make extensive use of data visualization tools to help user easily understand any trend or pattern without complex programming language.

 

“Notable industry participants include Teradata, SAS, SAP, IBM, Oracle and EMC”

 

Key players include CISCO, CLOUDERA, AMAZON WEB SERVICES, EMC, HP, IBM, Microsoft, Netapp, Oracle, SAS, SAP, and Teradata. Vendors emphasize on reducing hardware cost and developing unified big data solutions in order to seize a competitive advantage. Key market participants rely on developing technology innovative solutions in order to reduce cost, increase productivity and attract new customers.

 

Manufacturers are also expected to focus on venture funding and mergers & acquisitions over the coming years owing to technology advancement and complex ecosystem. . Major industry participants emphasize on seeking correlations across multiple disparate data sources and predicting customer behavior in order to achieve competitive advantage.

 

 “Technology outlook”

 

Emergence of YARN laying the base for Hadoop as a true multi-application framework coupled with the constant evolution of cloud-based big data services for application development and large scale analytics is a growing trend in the industry presently.

 

Additionally, the advent of Hadoop 2.0’s framework and the need to analyze larger sets of data without bogging down on-premises systems enables real-time data analysis which instigates manufacturers to evolve cloud-based big data services.

Chapter 1 Methodology and Scope

  • Research Methodology
  • Research Scope & Assumptions
  • List of Data Sources

Chapter 2 Executive Summary

Chapter 3 Big Data Overview

  • Market Ecosystem
  • Key Stakeholders
  • Industry Trends & Analysis

Chapter 4 Big Data Industry Outlook

  • Market Overview
  • Market Segmentation
  • Market Size & Growth Prospects
  • Market Analysis by Component Categories
    • Software
    • Service
  • Market Analysis by Type
    • Structured
    • Semi-Structured
    • Unstructured
  • Market Analysis by Industry Verticals
  • Leading Brand Dynamics
  • Key Market Drivers
    • Elevating demand for unified platform
    • Emerging application leveraging big data
    • Mounting consumer and machine data
  • Key Market Challenges/ Restraints
    • Lack of incompetent workforce
    • Deficiency of compliance and security measures
  • Key Market Opportunities
    • Big data security intelligence
    • Escalating demand for data warehouse and advanced analytics
  • Major Trends & Issues
  • Penetration & Growth Prospects
  • Industry Analysis - Porter’s
  • Big Data Market-PESTEL Analysis
  • Technology Landscape

Chapter 5: Pipeline Intelligence

  • Executive Summary
  • Upcoming/ Emerging Products and/or Solutions
  • Key R&D Trends
  • M&A Outlook

Chapter 6: Regional Market Outlook

Big Data Market Landscape by Region- 2016
  • North America Market Landscape Analysis, 2014-2024 (USD Bn)
    • U.S. Market Landscape Analysis, 2014-2024
    • Canada Market Landscape Analysis-2014-2024
  • Europe Market Landscape Analysis, 2014-2024 (USD Bn)
    • UK Market Landscape Analysis, 2014-2024
    • Germany Market Landscape Analysis, 2014-2024
    • France Market Landscape Analysis, 2014-2024
    • Italy Market Landscape Analysis, 2014-2024
    • Spain Market Landscape Analysis, 2014-2024
  • Latin America Market Landscape Analysis, 2014-2024 (USD Bn)
    • Brazil Market Landscape Analysis, 2014-2024
    • Mexico Market Landscape Analysis, 2014-2024
    • Colombia Market Landscape Analysis, 2014-2024
  • Asia Pacific Market Landscape Analysis, 2014-2024 (USD Bn)
    • Japan Market Landscape Analysis, 2014-2024
    • China Market Landscape Analysis, 2014-2024
    • India Market Landscape Analysis, 2014-2024
  • Middle East & Africa Market Landscape Analysis, 2014-2024 (USD Bn)
    • Saudi Arabia Market Landscape Analysis, 2014-2024
    • UAE Market Landscape Analysis, 2014-2024

Chapter 7: Pricing Analysis

  Optimal Price Points (OPP), Indifference Price Points (IPP) and Range of Acceptable Prices (RAP) of leading brands and volume estimation by Region- 2016
  • North America Pricing Analysis (OPP, IPP, RAP and Volume Estimation- 2016)
    • U.S. Pricing Analysis-2016
    • Canada Pricing Analysis-2016
  • Europe Pricing Analysis (OPP, IPP, RAP and Volume Estimation- 2014)
    • UK Pricing Analysis-2016
    • Germany Pricing Analysis-2016
    • France Pricing Analysis-2016
    • Italy Pricing Analysis-2016
    • Spain Pricing Analysis-2016
  • Latin America Pricing Analysis (OPP, IPP, RAP and Volume Estimation- 2016)
    • Brazil Pricing Analysis-2016
    • Mexico Pricing Analysis-2016
    • Colombia Pricing Analysis-2016
  • Asia Pacific Pricing Analysis (OPP, IPP, RAP and Volume Estimation- 2016)
    • Japan Pricing Analysis-2016
    • China Pricing Analysis-2016
    • India Pricing Analysis-2016
  • Middle East & Africa Pricing Analysis (OPP, IPP, RAP and Volume Estimation- 2016)
    • Saudi Arabia Pricing Analysis-2016
    • UAE Pricing Analysis-2016

Chapter 8: Technology Outlook

  • Executive Summary
  • Technology Evolution
  • Key R&D trends
  • Emerging Technology Analysis
  • Technology Crunch

Chapter 9: Competitive Landscape

  • ACCENTURE
    • Company Overview
    • Financial Performance
    • Key Decision Maker
    • Product Pipeline
    • Strategic Initiative
  • AMAZON WEB SERVICES
    • Company Overview
    • Financial Performance
    • Key Decision Maker
    • Product Pipeline
    • Strategic Initiative
  • CISCO
    • Company Overview
    • Financial Performance
    • Key Decision Maker
    • Product Pipeline
    • Strategic Initiative
  • CLOUDERA
    • Company Overview
    • Financial Performance
    • Key Decision Maker
    • Product Pipeline
    • Strategic Initiative
  • DELL
    • Company Overview
    • Financial Performance
    • Key Decision Maker
    • Product Pipeline
    • Strategic Initiative
  • HITACHI
    • Company Overview
    • Financial Performance
    • Key Decision Maker
    • Product Pipeline
    • Strategic Initiative
  • HP
    • Company Overview
    • Financial Performance
    • Key Decision Maker
    • Product Pipeline
    • Strategic Initiative
  • IBM
    • Company Overview
    • Financial Performance
    • Key Decision Maker
    • Product Pipeline
    • Strategic Initiative
  • MICROSOFT
    • Company Overview
    • Financial Performance
    • Key Decision Maker
    • Product Pipeline
    • Strategic Initiative
  • NETAPP
    • Company Overview
    • Financial Performance
    • Key Decision Maker
    • Product Pipeline
    • Strategic Initiative
  • ORACLE
    • Company Overview
    • Financial Performance
    • Key Decision Maker
    • Product Pipeline
    • Strategic Initiative
  • SAP
    • Company Overview
    • Financial Performance
    • Key Decision Maker
    • Product Pipeline
    • Strategic Initiative
  • SAS
    • Company Overview
    • Financial Performance
    • Key Decision Maker
    • Product Pipeline
    • Strategic Initiative
  • SPLUNK
    • Company Overview
    • Financial Performance
    • Key Decision Maker
    • Product Pipeline
    • Strategic Initiative
  • TERADATA
    • Company Overview
    • Financial Performance
    • Key Decision Maker
    • Product Pipeline
    • Strategic Initiative
  List of Tables  
  • TABLE 1 Big Data Market - Industry Snapshot & Key Buying Criteria, 2014 - 2024
  • TABLE 2 Global Big Data Market, 2014 – 2024 (USD Billion)
  • TABLE 3 Global Big Data Market by Hardware, 2014 – 2024 (USD Billion)
  • TABLE 4 Global Big Data Market by Software, 2014 – 2024 (USD Billion)
  • TABLE 5 Global Big Data Market by Service, 2014 – 2024 (USD Billion)
  • TABLE 6 Global Big Data Market by Industry Vertical, 2014 – 2024 (USD Billion)
  • TABLE 7 Global Multiple Sclerosis Incidence, 2013 - 2024
  • TABLE 8 Big Data Market - Key Market Driver Analysis
  • TABLE 9 Big Data Market - Key Market Restraint/ Challenge Analysis
  • TABLE 10 Big Data Market – Key Opportunity Analysis
  • TABLE 11 North America Big Data Landscape Analysis, 2014-2024 (USD Billion)
  • TABLE 12 U.S. Big Data Market Landscape Analysis, 2014-2024 (USD Billion)
  • TABLE 13 Canada Big Data Market Landscape Analysis, 2014-2024 (USD Billion)
  • TABLE 14 Europe Big Data Market Landscape Analysis, 2014-2024 (USD Billion)
  • TABLE 15 U.K Big Data Market Landscape Analysis, 2014-2024 (USD Billion)
  • TABLE 16 Germany Big Data Market Landscape Analysis, 2014-2024 (USD Billion)
  • TABLE 17 France Big Data Market Landscape Analysis, 2014-2024 (USD Billion)
  • TABLE 18 Italy Big Data Market Landscape Analysis, 2014-2024 (USD Billion)
  • TABLE 19 Spain Big Data Market Landscape Analysis, 2014-2024 (USD Billion)
  • TABLE 20 Latin America Big Data Market Landscape Analysis, 2014-2024 (USD BN)
  • TABLE 21 Brazil Big Data Market Landscape Analysis, 2014-2024 (USD Billion)
  • TABLE 22 Mexico Big Data Market Landscape Analysis, 2014-2024 (USD Billion)
  • TABLE 23 Colombia Big Data Market Landscape Analysis, 2014-2024 (USD Billion)
  • TABLE 24 Asia pacific Big Data Market Landscape Analysis, 2014-2024 (USD Billion)
  • TABLE 25 Japan Big Data Market Landscape Analysis, 2014-2024 (USD Billion)
  • TABLE 26 China Big Data Market Landscape Analysis, 2014-2024 (USD Billion)
  • TABLE 27 India Big Data Market Landscape Analysis, 2014-2024 (USD Billion)
  • TABLE 28 Middle East & Africa Big Data Market Landscape Analysis, 2014-2024 (USD Billion)
  • TABLE 29 Saudi Arabia Big Data Market Landscape Analysis, 2014-2024 (USD Billion)
  • TABLE 30 UAE Big Data Market Landscape Analysis, 2014-2024 (USD Billion)
  • TABLE 31 North America Pricing Analysis
  • TABLE 32 North America Pricing Analysis (OPP, IPP, RAP and Volume Estimation- 2016)
  • TABLE 33 U.S. Pricing Analysis-2016
  • TABLE 34 Canada Pricing Analysis-2016
  • TABLE 35 Europe Pricing Analysis (OPP, IPP, RAP and Volume Estimation- 2016)
  • TABLE 36 U.K Pricing Analysis-2015
  • TABLE 37 Germany Pricing Analysis-2015
  • TABLE 38 France Pricing Analysis-2015
  • TABLE 39 Italy Pricing Analysis-2015
  • TABLE 40 Spain Pricing Analysis-2016
  • TABLE 41 Latin America Pricing Analysis (OPP, IPP, RAP and Volume Estimation- 2016)
  • TABLE 42 Brazil Pricing Analysis-2016
  • TABLE 43 Mexico Pricing Analysis-2016
  • TABLE 44 Colombia Pricing Analysis-2016
  • TABLE 45 Asia Pacific Pricing Analysis (OPP, IPP, RAP and Volume Estimation- 2016)
  • TABLE 46 Japan Pricing Analysis-2016
  • TABLE 47 China Pricing Analysis-2016
  • TABLE 48 India Pricing Analysis-2016
  • TABLE 49 Middle East & Africa Pricing Analysis (OPP, IPP, RAP and Volume Estimation- 2016)
  • TABLE 50 Saudi Arabia Pricing Analysis-2016
  • TABLE 51 UAE Pricing Analysis-2016
  List of Figures-  
  • Big Data Market Segmentation
  • Market Size & Growth Prospects
  • Leading Brand Dynamics
  • Penetration & Growth Prospects
  • Industry Analysis – Porter’s
  • Big Data Market – PESTEL Analysis
  • Big Data Market Share by Hardware, 2016 & 2024
  • Big Data Market Share by Software, 2016 & 2024
  • Big Data Market Share by Service, 2016 & 2024
  • Big Data Market Share by Industry Vertical, 2016 & 2024
  • Big Data Market Share by Region, 2016 & 2024

Key Insights Addressed:  

  • Defining market size from 2014 to 2016.
  • Estimating market growth till 2024 and consequence market forecast.
  • Identifying market drivers, restraints & future opportunities and allowing decision-maker with a range of possible outcomes and the probabilities that will occur for any choice of action.
  • Market segments and regions that will drive or lead market growth.
  • Defining Optimal Price Point (OPP) which will be accepted and recommended by maximum customers.
  • A bird’s-eye view of the competitive landscape and the key market players.
  • Key strategic growth driver adopted by market players. In-depth analysis of their strategies and implication on competition & growth.
  Key Findings:  
  • North America emerged as the prominent leader in the Big data market with a revenue share of over 30% in 2015. Presence of numerous Small & Medium Enterprises (SMEs) and large enterprises is expected to be the major growth driver in the region.
  • Asia Pacific is anticipated to be the fastest growing regional market with CAGR exceeding 11% over the forecast period. This is ascribed to the growing urbanization coupled with increasing technology penetration in the region.
  • Services segment surfaced as the largest revenue generator in the global big data market by 2024 with revenues over $20 Billion in the same year.
  • In other interviews, KOLs highlighted the winning imperative for new entrants who are continuously trying to establish their position in the ecosystem with their innovative offerings, forming strategic alliances and mergers with the key industry players.
  • Commoditization of technologies in terms of hardware, software and cloud offerings is expected to be witnessed over the next few years. In addition, the industry may also experience new technology growth in the field of analytics and databases.

Ameri Research implies a unique methodology of published information and primary research to bring key insights to customer decision making process. Our analytics model helps us to understand the structured and unstructured information from various sources. Key steps involves in the process are as below-

    1. Analyzing Published Information- Access to large pool of paid and unpaid published information via different sources and analyzing market trend.
    2. Setting Foundation- Input from analysis of secondary sources set our foundation to market analysis and helps in setting the scope for further research. Setting the scope involves Ameri Research proprietary statistical model, discussion with industry leaders, internal brain storming, key discussion pointers from various forums etc.
    3. Need Gap Analysis- Defining the gap between our scope and availability of information.
    4. KOL Panel Discussion- Focused Group Discussion with a structured discussion guide to fine tune the gap and deriving the factors driving/restraining the market trend.
    5. Quantitative Research- Sampling large number of industry players, Education/Research Institutes, Government bodies, NGOs, Individual acclaimed researchers and conducting primary interview with a structured questionnaire.
    6. Data Triangulation- We applies bottom-up demand approach or top-down estimation or a combined approach to triangulate the data points.
    7. Analyst Comment- Each of our analyst carry large pool of experience from domain perspective and add their value which are directional in nature
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Description

Global Big Data Market was valued at $33.02 Billion in 2015 and is estimated to grow at a CAGR of over 11% from 2016 to 2024.

 

Rapid increase in big data technology instigates enterprises to implement robust security solutions to protect the data resulting in the advent of big data security intelligence. Escalating need to manage and secure the rising amount of data is increasingly prompting companies to adopt efficient security solutions. The security analytics market is expected to witness growth of over 20% over the period of 2016 to 2024.

 

Big data analytics is used to provide precise and accurate business insights to enterprises. Companies make use of several analytics solutions including predictive analysis, sentiment analysis and real time analysis. The big data software revenue is anticipated to reach $10 Billion by 2024 with an estimated CAGR of more than 20% over the forecast period.

 

North America Big Data Market, By Industry Vertical, 2014 – 2024 (USD Million)

North America Big Data Market, By Industry Vertical, 2014 - 2024 (USD Million)

 

The amount of data flowing across organizations, both small and medium and large-scale has witnessed immense growth over the last few years, and the trend continues. However, managing and identifying valuable data from massive amount of data is a challenge. Evolving consumer demand, contracting budgets are impacted by propagating data, and put considerable pressure on organizations to make right decision to achieve competitive advantage. Big Data is an easy solution to overcome the given situation and efficiently access data.

 

The industry has witnessed exponential growth in amount of both structured and unstructured data across several sectors. Collecting, storing and exploiting this huge data amount has become a crucial task for companies. Need for tools to manage this substantial data amount is expected to fuel the big data market. Organizations collect and store data with a view to extract information from historical data to gain insights. This is done with the purpose of analyzing data to make precise decisions, which help in improving risk mitigation, operational efficiencies and cost reduction. Understanding the potential of big data analytics, numerous sectors have started deploying the same across their systems including healthcare, e-commerce, IT, banking, retails, media & entertainment and telecom.

 

Manufacturers are increasingly investing in R&D for developing unified big data solutions that offers increased capabilities. Vendors are undertaking efforts to decrease hardware costs in order to seize competitive advantage. The industry is also witnessing emergence of several startups. Manufacturers are also expected to focus on venture funding and mergers & acquisitions over the coming years owing to technology advancement and complex ecosystem.

 

“Optimal Price Point (OPP) for Big Data Solution”

 

Estimated Average solution cost – $ xx globally. However, with growth in machine data, growing solution implementation and increasing SMEs, OPP and range of acceptable Prices (RAP) are going to change. We at Ameri Research continuously track these prices with our proprietary pricing model.

 

“Big data analytics to overcome rising advanced issues”

 

Big data analytics is used to provide precise and accurate business insights to Enterprises. Using these analytical platforms, big data vendors have built application based solutions such as forecasting models, risk modeling and managing customer relationship. Additionally, enterprises make extensive use of data visualization tools to help user easily understand any trend or pattern without complex programming language.

 

“Notable industry participants include Teradata, SAS, SAP, IBM, Oracle and EMC”

 

Key players include CISCO, CLOUDERA, AMAZON WEB SERVICES, EMC, HP, IBM, Microsoft, Netapp, Oracle, SAS, SAP, and Teradata. Vendors emphasize on reducing hardware cost and developing unified big data solutions in order to seize a competitive advantage. Key market participants rely on developing technology innovative solutions in order to reduce cost, increase productivity and attract new customers.

 

Manufacturers are also expected to focus on venture funding and mergers & acquisitions over the coming years owing to technology advancement and complex ecosystem. . Major industry participants emphasize on seeking correlations across multiple disparate data sources and predicting customer behavior in order to achieve competitive advantage.

 

 “Technology outlook”

 

Emergence of YARN laying the base for Hadoop as a true multi-application framework coupled with the constant evolution of cloud-based big data services for application development and large scale analytics is a growing trend in the industry presently.

 

Additionally, the advent of Hadoop 2.0’s framework and the need to analyze larger sets of data without bogging down on-premises systems enables real-time data analysis which instigates manufacturers to evolve cloud-based big data services.

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