Big Data Market in Manufacturing | Analysis 2019-2031

Big Data Market in Manufacturing Introduction

Continuous technological innovation has transformed the way of data generation and capturing, the impulse to extract valuable insights from unstructured data envisage future needs remains the same. Further, advancement in sensing technology and industrial motors has disrupted the manufacturing industry with complex connected systems such as computer numerical control systems that led to a massive increase in raw data generation. In effect, big data technologies and services has aided manufacturing companies to streamline their operations and process to align to lean methodology and Six-Sigma standards.

Market Dynamics

Organizations—operating in the manufacturing sector—are focused towards increasing their expenditure on big data technologies and services to improve customer satisfaction and loyalty. Furthermore, these companies across the globe are leaning towards embedded technology to enhance their operational efficiency. This, in turn, is anticipated to accelerate the penetration of big data software and services in the manufacturing sector during the forecast period. In contrast, inferior & disparate systems, inadequate tools, and expertise shortage are anticipated to hamper the adoption of big data software and services in the manufacturing sector.

Market Scope

The big data market in manufacturing has been bifurcated into various segments to track market performance from various perspective. Major segments analyzed are offering and end user. Based on offering the big data market in manufacturing is segmented into software (application software, information management software, and discovery and analytics software), services (consulting, repair & maintenance, implementation & integration, outsourcing, and other support services), and infrastructure (cloud infrastructure, server, storage, and networking).

Regional Outlook

The global big data market in manufacturing sector has been analyzed at a regional level. Key regions covered in this report are North America, Western Europe, Asia Pacific, Latin America, Eastern Europe, and Middle East and Africa. At present, end user organizations in the manufacturing sector are focused towards upgrading and replacing centralized control in manufacturing with intelligent systems that are capable of communicating with other connected devices and systems. Further, predictive analytics solutions are increasingly being deployed in the manufacturing sector to exclude the risk of supply shortage and decreases material procurement by automatically triggering the orders according to the requirement and sales planning.

Big Data Market in Manufacturing Competitive Landscape

Prominent players offering big data solutions and services are inclined towards offering advanced analytical software that provides best practice metrics, reports, and alerts to manufacturing executives, product cost accountants, and operations managers. Key players analyzed in the big data market in manufacturing are Teradata Corporation, PricewaterhouseCoopers LLP (PwC), Tata Consultancy Services Ltd., Hewlett Packard Enterprise, Cisco Systems Inc., IBM Corporation, Microsoft Corporation, Oracle Corporation, SAP SE, and TIBCO Software Inc.

Major Regions/Countries include:

• North America
  • United States
  • Canada
• Western Europe
  • Germany
  • United Kingdom
  • Spain
  • France
  • Italy
  • Rest of Western Europe
• Eastern Europe
  • Russia
  • Poland
  • Rest of Eastern Europe
• Asia Pacific (APAC)
  • Japan
  • China
  • India
  • ASEAN
  • Australia
  • Rest of Asia-Pacific
• Latin America
  • Brazil
  • Mexico
  • Argentina
  • Rest of Latin America
• Middle East and Africa (MEA)
  • GCC
  • North Africa
  • South Africa
  • Rest of MEA

This research report on big data market in manufacturing would be produced using first-hand market information gathered from industry experts and major participants across the value chain, during primary research. It would provide broad view of current market trends, growth factors and competitive analysis.