세계의 제조업 빅데이터 분석 시장 규모 조사 및 예측 : 구성 요소별, 용도별, 배포 모드별, 지역별 분석(2022-2029년)

Global Big Data Analytics in Manufacturing Market is valued at approximately USD 1.18 billion in 2021 and is anticipated to grow with a healthy growth rate of more than 30.9 % over the forecast period 2022-2029. Big data analytics in manufacturing assists businesses in improving supply chain planning, process defect tracking, and component defect tracking. One of the most important applications of big data analytics is predictive analytics, which is used to extract information from data and predict trends and behaviour patterns. The increasing automation across industries and growing demand for big data analytics in supply chain optimization are key factors driving market growth.

Over the years the spending on automation from different industries including automobiles has significantly increased creating strong demand for Global Big Data Analytics Market. For instance - according to Statista - In 2020, the global industrial automation market is expected to be worth USD 175 billion. The market is projected to grow at a compound annual growth rate (CAGR) of around nine percent until 2025. The global industrial automation market is expected to reach USD 265 billion by 2025. Also, rising usage of Predictive Analytics Tools as well as growing emergence of (Industrial Internet of Things) IIoT solutions would create lucrative growth opportunities for the market over the projected period. However, limited awareness and concern over data privacy hinder the market growth throughout the forecast period of 2022-2029.

The key regions considered for the Global Big Data Analytics in Manufacturing Market study include Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America dominated the market in terms of revenue, owing to the dominance of branded products and the increasing number of strategic collaborative initiatives between leading market players in the region. Whereas Asia Pacific is expected to grow with the highest CAGR during the forecast period, owing to factors such as increasing penetration of smart manufacturing as well as the region being one of the leading hubs for automotive manufacturing would offer lucrative opportunities for the market over the projected period.

Major market players included in this report are:

• IBM Corporation
• SAP SE
• Microsoft Corporation
• Oracle Corporation
• SAS Institute Inc.
• OpenText Corporation
• Microstrategy
• Information Builders
• Tableau Software Inc.
• Qlik Technologies Inc.

Recent Developments in the Market:

• In June 2020, in order to fulfil the expanding demand for process automation and predictive maintenance in the industrial and logistics sectors across Southeast Asia, Japan, and North America, Microsoft Corporation teamed up with Hitachi. Both businesses intend to broaden the collaboration's application to additional industries.
• In October 2019, Erbessd Instruments announced the launch of Phantom, a wireless vibration monitoring device that combines additional metrics including temperature, current, RPM, and speed into a single diagnosis system. Both a local database and a cloud-based system can receive data from it. With any gadget, whether a smartphone, computer, or tablet, the user can always keep tabs on their equipment.

Global Big Data Analytics in Manufacturing Market Report Scope:

• Historical Data: 2019-2020-2021
• Base Year for Estimation: 2021
• Forecast period: 2022-2029
• Report Coverage: Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
• Segments Covered: Component, Application, Deployment Mode, Region
• Regional Scope: North America; Europe; Asia Pacific; Latin America; Rest of the World
• Customization Scope: Free report customization (equivalent up to 8 analyst's working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below.

By Component

• Software
• Service

By Application

• Predictive Maintenance
• Budget Monitoring
• Product Lifecycle Management
• Field Activity Management
• Others

By Deployment Mode

• Cloud
• On-premise

By Region:

• North America
• U.S.
• Canada
• Europe
• UK
• Germany
• France
• Spain
• Italy
• ROE
• Asia Pacific
• China
• India
• Japan
• Australia
• South Korea
• RoAPAC
• Latin America
• Brazil
• Mexico
• RoLA
• Rest of the World

Table of Contents

Chapter 1. Executive Summary

• 1.1. Market Snapshot
• 1.2. Global & Segmental Market Estimates & Forecasts, 2019-2029 (USD Billion)
  • 1.2.1. Big Data Analytics in Manufacturing Market, by Region, 2019-2029 (USD Billion)
  • 1.2.2. Big Data Analytics in Manufacturing Market, by Component, 2019-2029 (USD Billion)
  • 1.2.3. Big Data Analytics in Manufacturing Market, by Application, 2019-2029 (USD Billion)
  • 1.2.4. Big Data Analytics in Manufacturing Market, by Deployment Mode, 2019-2029 (USD Billion)
• 1.3. Key Trends
• 1.4. Estimation Methodology
• 1.5. Research Assumption

Chapter 2. Global Big Data Analytics in Manufacturing Market Definition and Scope

• 2.1. Objective of the Study
• 2.2. Market Definition & Scope
  • 2.2.1. Scope of the Study
  • 2.2.2. Industry Evolution
• 2.3. Years Considered for the Study
• 2.4. Currency Conversion Rates

Chapter 3. Global Big Data Analytics in Manufacturing Market Dynamics

• 3.1. Big Data Analytics in Manufacturing Market Impact Analysis (2019-2029)
  • 3.1.1. Market Drivers
    • 3.1.1.1. Increasing automation across the industries
    • 3.1.1.2. Growing demand for big data analytics in supply chain optimization
  • 3.1.2. Market Challenges
    • 3.1.2.1. Limited awareness & security concerns
  • 3.1.3. Market Opportunities
    • 3.1.3.1. Rising usage of Predictive Analytics Tools
    • 3.1.3.2. Growing emergence of IIoT solutions

Chapter 4. Global Big Data Analytics in Manufacturing Market Industry Analysis

• 4.1. Porter's 5 Force Model
  • 4.1.1. Bargaining Power of Suppliers
  • 4.1.2. Bargaining Power of Buyers
  • 4.1.3. Threat of New Entrants
  • 4.1.4. Threat of Substitutes
  • 4.1.5. Competitive Rivalry
• 4.2. Futuristic Approach to Porter's 5 Force Model (2019-2029)
• 4.3. PEST Analysis
  • 4.3.1. Political
  • 4.3.2. Economical
  • 4.3.3. Social
  • 4.3.4. Technological
• 4.4. Top investment opportunity
• 4.5. Top winning strategies
• 4.6. Industry Experts Prospective
• 4.7. Analyst Recommendation & Conclusion

Chapter 5. Risk Assessment: COVID-19 Impact

• 5.1. Assessment of the overall impact of COVID-19 on the industry
• 5.2. Pre COVID-19 and post COVID-19 Market scenario

Chapter 6. Global Big Data Analytics in Manufacturing Market, by Component

• 6.1. Market Snapshot
• 6.2. Global Big Data Analytics in Manufacturing Market by Component, Performance - Potential Analysis
• 6.3. Global Big Data Analytics in Manufacturing Market Estimates & Forecasts by Component 2019-2029 (USD Billion)
• 6.4. Big Data Analytics in Manufacturing Market, Sub Segment Analysis
  • 6.4.1. Software
  • 6.4.2. Services

Chapter 7. Global Big Data Analytics in Manufacturing Market, by Application

• 7.1. Market Snapshot
• 7.2. Global Big Data Analytics in Manufacturing Market by Application, Performance - Potential Analysis
• 7.3. Global Big Data Analytics in Manufacturing Market Estimates & Forecasts by Application 2019-2029 (USD Billion)
• 7.4. Big Data Analytics in Manufacturing Market, Sub Segment Analysis
  • 7.4.1. Predictive Maintenance
  • 7.4.2. Budget Monitoring
  • 7.4.3. Product Lifecycle Management
  • 7.4.4. Field Activity Management
  • 7.4.5. Others

Chapter 8. Global Big Data Analytics in Manufacturing Market, by Deployment Mode

• 8.1. Market Snapshot
• 8.2. Global Big Data Analytics in Manufacturing Market by Deployment Mode, Performance - Potential Analysis
• 8.3. Global Big Data Analytics in Manufacturing Market Estimates & Forecasts by Deployment Mode 2019-2029 (USD Billion)
• 8.4. Big Data Analytics in Manufacturing Market, Sub Segment Analysis
  • 8.4.1. Cloud
  • 8.4.2. On premises

Chapter 9. Global Big Data Analytics in Manufacturing Market, Regional Analysis

• 9.1. Big Data Analytics in Manufacturing Market, Regional Market Snapshot
• 9.2. North America Big Data Analytics in Manufacturing Market
  • 9.2.1. U.S. Big Data Analytics in Manufacturing Market
    • 9.2.1.1. Component breakdown estimates & forecasts, 2019-2029
    • 9.2.1.2. Application breakdown estimates & forecasts, 2019-2029
    • 9.2.1.3. Deployment Mode breakdown estimates & forecasts, 2019-2029
  • 9.2.2. Canada Big Data Analytics in Manufacturing Market
• 9.3. Europe Big Data Analytics in Manufacturing Market Snapshot
  • 9.3.1. U.K. Big Data Analytics in Manufacturing Market
  • 9.3.2. Germany Big Data Analytics in Manufacturing Market
  • 9.3.3. France Big Data Analytics in Manufacturing Market
  • 9.3.4. Spain Big Data Analytics in Manufacturing Market
  • 9.3.5. Italy Big Data Analytics in Manufacturing Market
  • 9.3.6. Rest of Europe Big Data Analytics in Manufacturing Market
• 9.4. Asia-Pacific Big Data Analytics in Manufacturing Market Snapshot
  • 9.4.1. China Big Data Analytics in Manufacturing Market
  • 9.4.2. India Big Data Analytics in Manufacturing Market
  • 9.4.3. Japan Big Data Analytics in Manufacturing Market
  • 9.4.4. Australia Big Data Analytics in Manufacturing Market
  • 9.4.5. South Korea Big Data Analytics in Manufacturing Market
  • 9.4.6. Rest of Asia Pacific Big Data Analytics in Manufacturing Market
• 9.5. Latin America Big Data Analytics in Manufacturing Market Snapshot
  • 9.5.1. Brazil Big Data Analytics in Manufacturing Market
  • 9.5.2. Mexico Big Data Analytics in Manufacturing Market
  • 9.5.3. Rest of Latin America Big Data Analytics in Manufacturing Market
• 9.6. Rest of The World Big Data Analytics in Manufacturing Market

Chapter 10. Competitive Intelligence

• 10.1. Top Market Strategies
• 10.2. Company Profiles
  • 10.2.1. IBM Corporation
    • 10.2.1.1. Key Information
    • 10.2.1.2. Overview
    • 10.2.1.3. Financial (Subject to Data Availability)
    • 10.2.1.4. Product Summary
    • 10.2.1.5. Recent Developments
  • 10.2.2. SAP SE
  • 10.2.3. Microsoft Corporation
  • 10.2.4. Oracle Corporation
  • 10.2.5. SAS Institute Inc.
  • 10.2.6. OpenText Corporation
  • 10.2.7. Microstrategy
  • 10.2.8. Information Builders
  • 10.2.9. Tableau Software Inc.
  • 10.2.10. Qlik Technologies Inc.

Chapter 11. Research Process

• 11.1. Research Process
  • 11.1.1. Data Mining
  • 11.1.2. Analysis
  • 11.1.3. Market Estimation
  • 11.1.4. Validation
  • 11.1.5. Publishing
• 11.2. Research Attributes
• 11.3. Research Assumption