Big Data Market in the Manufacturing Sector 2016-2020

  • Published: Apr 2016
  • Pages: 53
  • SKU: IRTNTR8997

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This industry research report presents a detailed analysis of the major growth factors that influence big data market growth in the manufacturing sector. It also segments the market by component (services, software, and hardware), by solution type (discrete manufacturing, process manufacturing, and mixed-mode manufacturing), and by geography (the Americas, APAC, and EMEA). The top vendors are EMC, HP, IBM, and Oracle.

Outlook of the global big data market in the manufacturing sector

Technavio’s market research analyst has estimated the global big data market in the manufacturing sector to grow at a CAGR of almost 17% by 2020. Factors such as the rising need to develop competitive strategies and the recent increase in the amount of data being stored by the manufacturing sector will foster the adoption of big data in the manufacturing sector. Big data solutions provide objective information about the enterprise’s performance and also helps enterprises to store a large volume of data ranging from product portfolios to employee details.

In this market research, analysts have estimated eminent factors, such as the advent of M2M technology, to spur big data market growth in manufacturing sector during the forecast period. M2M technology allows machines to connect and securely interact over a network. This technology is rapidly becoming a sought after technology in the telecom, manufacturing, and IT landscape, as it tracks safety and security measures by providing remote access, 24/7 monitoring, and automated emergency response. Additionally, its ability to increase IT efficiency for businesses and governments in terms of automated business process management and enterprise resource planning will lead to its augmented adoption during the forecast period.

Component-based segmentation of the big data market in the manufacturing sector

  • Services
  • Software
  • Hardware

In this market study, analysts have estimated the services segment to be the largest market segment during the forecast period. Much of this segment’s growth can be attributed to the shortage of experienced big data professionals in the manufacturing sector, as a result of which, companies have been compelled to invest in big data training and consulting services. The ability of big data services to transform organizational data into actionable insights will lead to its increased adoption during the predicted period.

Segmentation by solution type and analysis of the big data market in the manufacturing sector

  • Discrete manufacturing
  • Process manufacturing
  • Mixed-mode manufacturing

During 2015, the discrete manufacturing segment dominated this market and accounted for an impressive market share of more than 43%. Organizations in the discrete manufacturing sector produce consumer electronics, computers and computer accessories, appliances, and other household items. It also includes products like automobiles, furniture, toys, smartphones, and airplanes.

Competitive landscape and key vendors

The global big data market in the manufacturing sector is competitive and is characterized by the presence of many multinational suppliers. The large providers in this market dominate the market shares due to their widespread operations and established customer bases. Though the large vendors dominate this market, many pure-play solution providers are entering the market and competing with established big data solution providers to take advantage of this market’s immense growth potential.

Key vendors in the market are -

  • EMC
  • HP
  • IBM
  • Oracle

Other prominent vendors analyzed in this market analysis are 1010data, Accenture, Amazon Web Services, Attivio, Capgemini, ClickFox, Cloudera, Couchbase, CSC, Datameer, DataStax, Dell, Digital Reasoning Systems, Fractal Analytics, Fujitsu, Hitachi, Hortonworks, Huawei Technologies, Informatica, Intel, Karmasphere, Logica, MapR Technologies, MarkLogic, Microsoft, MongoDB, Mu Sigma, NetApp, Opera Solutions, ParAccel, Pervasive Software, QlikTech, RainStor, Red Hat, SAP, SAS Institute, Seagate, Siemens Information Systems, Splunk, Tableau Software, Tata Consultancy Services, Teradata, Think Big Analytics, and Xerox.

Key questions answered in the report include

  • What will the big data market size and the growth rate be in 2020?
  • What are the key factors driving the global big data market in the manufacturing sector?
  • What are the key market trends impacting the growth of the global big data market in the manufacturing sector?
  • What are the challenges to the big data market growth?
  • Who are the key vendors in the global big data market in the manufacturing sector?
  • What are the market opportunities and threats faced by the vendors in the global big data market in the manufacturing sector?
  • Trending factors influencing the big data market shares of the Americas, APAC, and EMEA.
  • What are the key outcomes of the five forces analysis of the global big data market in the manufacturing sector?

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Table of Contents

PART 01: Executive summary

  • Highlights

PART 02: Scope of the report

  • Market overview
  • Top-vendor offerings

PART 03: Market research methodology

  • Research methodology
  • Economic indicators

PART 04: Introduction

  • Key market highlights

PART 05: Market landscape

  • Market overview
  • Big data in the Manufacturing sector
  • Market size and forecast
  • Share of manufacturing sector in global big data market

PART 06: Market segmentation by component

PART 07: Market segmentation by solution types

  • Global big data market in manufacturing sector by solution types 2015

PART 08: Geographical segmentation

  • Global big data market in manufacturing sector by region
  • PART 09: Key leading countries
  • US
  • UK
  • China

PART 10: Market drivers

  • High demand for effective data access
  • Exponential growth in data
  • Increased adoption of IoT
  • Increased demand of ICT

PART 11: Impact of drivers

PART 12: Market challenges

  • Management of unstructured data
  • High cost of implementation
  • Lack of skilled professionals
  • Performance inconsistency with components

PART 13: Impact of drivers and challenges

PART 14: Market trends

  • Growth of cloud computing
  • Emergence of M2M technology
  • Increased demand from medium-sized enterprises
  • SaaS-based predictive analytics

PART 15: Five forces analysis

PART 16: Vendor landscape

  • Competitive scenario
  • Description of leading vendors
  • EMC
  • HP
  • IBM
  • Oracle
  • Other prominent vendors

PART 17: Appendix

  • List of abbreviations

PART 18: Explore Technavio

Research Framework

Technavio presents a detailed picture of the market by way of study, synthesis, and summation of data from multiple sources. The analysts have presented the various facets of the market with a particular focus on identifying the key industry influencers. The data thus presented is comprehensive, reliable, and the result of extensive research, both primary and secondary.


Primary sources

  • Manufacturers and suppliers
  • Channel partners
  • Industry experts
  • Strategic decision makers

Secondary sources

  • Industry journals and periodicals
  • Government data
  • Financial reports of key industry players
  • Historical data
  • Press releases


Data Synthesis

  • Collation of data
  • Estimation of key figures
  • Analysis of derived insights

Data Validation

  • Triangulation with data models
  • Reference against proprietary databases
  • Corroboration with industry experts



  • Market drivers
  • Market challenges
  • Market trends
  • Five forces analysis


  • Market size and forecast
  • Market segmentation
  • Geographical insights
  • Competitive landscape
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