Cover Image
Market Research Report

Big Data Market in Smarter Cities: By Types ; By Application -Forecast

Published by IndustryARC Product code 634426
Published Content info 143 Pages
Delivery time: 2-3 business days
Price
Back to Top
Big Data Market in Smarter Cities: By Types ; By Application -Forecast
Published: September 19, 2017 Content info: 143 Pages
Description

Big Data can be best defined as the capture, storage, search and analysis of large and complex data sets which are generally difficult to be processed or handled by traditional data processing systems. Smart city corresponds to the integration of Information and Communication Technology (ICT) and Internet of Things (IoT) in a secure fashion to manage the cities assets such as schools, hospitals, power plants, waste management among others. Smart cities utilize several technologies to improve the performance of health, transportation, energy, education among others in order to provide higher levels of comfort of their citizens. One such technology that has a huge potential to enhance smart city services is big data analytics, it plays a key role in making cities smarter.

The report big data market in smarter cities is segmented into 4 verticals: By data generators, by type, by data type, by application. Data generators refer to the sensors, recorders, consumer electronic goods and few others which act as data sources. Regarding type report is classified into infrastructure, software & services. The three different data types mentioned in the report include structured, un structured and semi structured data types. By application report is segmented into city planning & Operations, public safety, IoT, Transport & CO2 emission and others. Moreover report is segregated based on geographic regions that include Americas, Europe, APAC and RoW to provide intense knowledge about the market

Government regulations to deploy big data analysis in smart home concept in order improve the living standards of people, enhanced technologies in smart traffic to manage the traffic efficiently among others acts as key growth drivers of big data market in smarter cities.

North America holds major share for big data market in smarter cities owing to major smart cities in this region and is witnessed to be the leading market during the forecast period 2017-2023 as many of the cities in this region coming forward to become smarter. Asia Pacific is the fastest growing segment during the forecast period due to the extensive growth of smart city momentum in developing countries like china, India, Korea in this region.

Sample Companies Profiled in this Report are:

  • Huawei Technologies Co., Ltd (China)
  • Sidewalk Labs (U.S.)
  • Cisco (U.S.)
  • SAS Institute (U.S.)
  • IBM Corporation (U.S.)
  • 10+.
Table of Contents

Table of Contents

1. Big Data Market in Smarter Cities Market Overview

2. Big Data Market in Smarter Cities Executive Summary

3. Big Data Market in Smarter Cities - Market Landscape

  • 3.1. Market Share Analysis
  • 3.2. Comparative Analysis
    • 3.2.1. Product Benchmarking
    • 3.2.2. End User Profiling
    • 3.2.3. Patent Analysis
    • 3.2.4. Top 5 Financials Analysis

4. Big Data Market in Smarter Cities - Market Forces

  • 4.1. Market Drivers
  • 4.2. Market Constraints
  • 4.3. Market Challenges
  • 4.4. Porter's Five Forces Analysis
    • 4.4.1. Power of Suppliers
    • 4.4.2. Power of Customers
    • 4.4.3. Threat of New entrants
    • 4.4.4. Threat of Substitution
    • 4.4.5. Degree of Competition

5. Big Data Market in Smarter Cities- Strategic Analysis

  • 5.1. Value Chain Analysis
  • 5.2. Pricing Analysis
  • 5.3. Opportunities Analysis
  • 5.4. Product/Market Life Cycle Analysis
  • 5.5. Suppliers and Distributors

6. Big Data Market in Smarter Cities- Data Generators

  • 6.1. Sensors
  • 6.2. Smart Meters
  • 6.3. Recorders
  • 6.4. Consumer electronic devices (Computer, smart phones, Cameras)
  • 6.5. Others(GPS, Social Networking Sites, Commercial Transactions)

7. Big Data Market in Smarter Cities- By Type

  • 7.1. Infrastructure
    • 7.1.1. Storage & Compute Infrastructure
    • 7.1.2. Networking Infrastructure
    • 7.1.3. Others
  • 7.2. Software & Services
    • 7.2.1. Software
      • 7.2.1.1. Cloud Based
      • 7.2.1.2. On - Premise
    • 7.2.2. Services
      • 7.2.2.1. Consulting
      • 7.2.2.2. Managed
      • 7.2.2.3. Professional
      • 7.2.2.4. Others

8. Big Data Market in Smarter Cities- Data Type

  • 8.1. Structured
  • 8.2. un-Structured
  • 8.3. Semi-structured

9. Big Data Market in Smarter Cities- Application

  • 9.1. City Planning & Operations
  • 9.2. Public Safety
  • 9.3. Water & Energy Management
  • 9.4. Internet of Things
  • 9.5. Transport & CO2 Emission
  • 9.6. Building & Infrastructure
  • 9.7. Government & Education
  • 9.8. Others

10. Big Data Market in Food & Beverages Industry - By Geography

  • 10.1. Americas
    • 10.1.1. U.S.
    • 10.1.2. Canada
    • 10.1.3. Mexico
    • 10.1.4. Brazil
    • 10.1.5. Rest of Americas
  • 10.2. Europe
    • 10.2.1. U.K.
    • 10.2.2. Germany
    • 10.2.3. France
    • 10.2.4. Russia
    • 10.2.5. Others
  • 10.3. APAC
    • 10.3.1. China
    • 10.3.2. South Korea
    • 10.3.3. Japan
    • 10.3.4. India
    • 10.3.5. Rest Of APAC
  • 10.4. Rest of The World (ROW)
    • 10.4.1. Middle East & Africa
    • 10.4.2. Rest of RoW

11. Market Entropy

  • 11.1. New Product Launches
  • 11.2. M&As, Collaborations, JVs and Partnership

12. Company Profiles

  • 12.1. Huawei Technologies Co., Ltd.
  • 12.2. Sidewalk Labs
  • 12.3. Cisco
  • 12.4. SAS Institute
  • 12.5. HP Development Company, L.P.
  • 12.6. IBM Corporation
  • 12.7. Deloitte Touche Tohmatsu Limited
  • 12.8. Infosys Limited
  • 12.9. Intel Corporation
  • 12.10. Oracle
  • 12.11. Microsoft
  • 12.12. Baidu Research
  • 12.13. Teradata
  • 12.14. Informatica
  • 12.15. Greenwave Systems

More than 10 Companies are profiled in this Research Report*

"*Financials would be provided on a best efforts basis for private companies"

13. Appendix

  • 13.1. Abbreviations
  • 13.2. Sources
  • 13.3. Research Methodology
  • 13.4. Expert Insights
Back to Top