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市場調查報告書

美國製造業分析市場:解決方案,部署,應用,按行業劃分的市場,到2030年的份額,趨勢和需求預測

U.S. Manufacturing Analytics Market Research Report: By Solution, Deployment, Application, Industry - Industry Size, Share, Trends and Demand Forecast to 2030

出版商 Prescient & Strategic Intelligence Private Limited 商品編碼 949796
出版日期 內容資訊 英文 155 Pages
商品交期: 2-3個工作天內
價格
美國製造業分析市場:解決方案,部署,應用,按行業劃分的市場,到2030年的份額,趨勢和需求預測 U.S. Manufacturing Analytics Market Research Report: By Solution, Deployment, Application, Industry - Industry Size, Share, Trends and Demand Forecast to 2030
出版日期: 2020年03月01日內容資訊: 英文 155 Pages
簡介

2019年美國製造業分析市場規模為25億美元,在預測期(2020-2030年)以17.6%的複合年增長率增長,到2030年將達到141億美元的收入那是預料之中的。預計在預測期內,解決方案部分下的服務類別將在市場中快速增長。這是因為製造商已廣泛採用用於質量控制,庫存控制,資產控制和預測性維護的分析軟件,以減少設備停機時間並提高運營效率。

該報告調查了美國製造業分析市場,並探討了市場趨勢和機遇,增長和限制,按解決方案/部署/應用/行業/區域,競爭格局以及關鍵公司概況進行的市場分析。我們提供諸如此類的信息。

內容

第1章調查範圍

  • 調查目的
  • 市場定義
  • 調查範圍
    • 按解決方案細分市場
    • 按開發細分市場
    • 按應用細分市場
    • 按行業細分市場
    • 按地區劃分的市場細分
    • 分析期
    • 市場數據報告單位
      • 基於金額
  • 主要利益相關者

第2章調查方法

  • 二次調查
  • 主要調查
    • 初次調查的受訪者細分
      • 按地區
      • 由行業參與者
      • 按公司類型
  • 市場規模估算
  • 數據三角剖分
  • 調查的前提條件
  • 注意和警告

第3章執行摘要

第4章市場指標

  • 美國製造業
  • 工業4.0
  • 智能連接的發展
  • 其他

第5章行業展望

  • 行業專家之聲
  • 細分市場定義
    • 按解決方案
      • 軟件
      • 服務
    • 通過發展
      • 內部部署
    • 通過申請
      • 資產管理
      • 庫存管理
      • 單片機
      • 預測性維護
      • 能源管理
      • 客戶管理
      • 應急管理
      • 其他
    • 按行業
      • 消費品
      • 餐飲
      • 電子
      • 化學
      • 汽車/航空航天
      • 石油和天然氣
      • 製藥
      • 其他
  • 市場動態
    • 趨勢
      • 虛擬化實施
      • 工業物聯網(IIoT)和協作機器人(cobots)正在迅速發展
      • 採用數字孿生進行智能維護
    • 生長因子
      • 對簡化供應鏈管理的興趣增加
      • 通過大數據提高組織可視性的需求不斷增長
    • 抑制因素/問題
      • 法規變更引起的不確定性
      • 缺乏熟練的勞動力
    • 增長/抑制因素的影響分析
      • 增長因素對市場預測的影響分析
      • 限制因素對市場預測的影響分析
  • 價值鏈分析
  • 波特的五力分析
  • 生產過程/技術
    • 分析軟件開發要素
  • 消費者行為/購買標準
    • 受眾特徵
    • 消費者行為分析和購買標準
    • 結論

第6章美國市場規模和預測

  • 按解決方案
    • 特定類型的服務
  • 通過發展
  • 通過申請
  • 按行業
  • 按地區

第7章競爭情況

  • 公司及其產品清單
  • 主要公司的市場份額分析
  • 主要公司的競爭基準
  • 主要公司的戰略發展
    • 併購
    • 產品發佈
    • 客戶獲取

第8章公司簡介

  • International Business Machines (IBM) Corporation
  • SAP SE
  • Oracle Corporation
  • SAS Institute Inc.
  • TIBCO Software Inc.
  • Salesforce.com Inc.
  • Alteryx Inc.
  • Sisense Ltd.
  • DXC Technology Company
  • General Electric Company
  • Stone Technologies Inc.
  • SensrTrx LLC
  • Anvizent (DW Practice LLC)
  • VIMANA
  • MachineMetrics Inc.
  • Neubrain LLC
  • 橫河電機
  • Altizon Systems Private Limited
  • Vertech Industrial Systems LLC
  • Brave Control Solutions Inc.

第9章附錄

  • 縮寫
  • 信息來源和參考
  • 相關報告
目錄
Product Code: IM11877

Title:
U.S. Manufacturing Analytics Market Research Report: By Solution (Software, Service), Deployment (On-Premises, Cloud), Application (Asset Management, Inventory Management, Supply Chain Management, Predictive Maintenance, Energy Management, Customer Management, Emergency Management), Industry (Consumer Products, Food & Beverages {F&B}, Electronics, Chemical, Automotive & Aerospace, Oil & Gas, Pharmaceutical) - Industry Size, Share, Trends and Demand Forecast to 2030.

According to the market research report published by P&S Intelligence, the U.S. manufacturing analytics market was valued at $2.5 billion in 2019 and is expected to reach revenue of $14.1 billion by 2030, exhibiting a CAGR of 17.6% during the forecast period (2020-2030). The service category, under the solution segment, is predicted to witness faster growth in the market during the forecast period. This can be ascribed to the wide-scale adoption of analytics software by the manufacturers for quality management, inventory management, asset management, and predictive maintenance in order to reduce equipment downtime and improve operational efficiency.

The manufacturers in the U.S. manufacturing analytics market are increasingly adopting virtualization software in order to gain competitive advantage and improve business operations. The virtualization software separates the applications from the physical hardware they run on and thus, switching to this software allows a huge number of virtual workloads to be handled simultaneously. This technology allows for an easy initial setup and also reduces the expenditure on physical hardware. In addition to this, the virtualization software also plays a crucial role in addressing the lifecycle management issues, which further increases its need in the industry.

The U.S. manufacturing sector is witnessing an increasing focus toward improving the supply chain management, primarily due to the growing awareness about supply chain management and the role played by it in reducing operational costs, improving customer satisfaction, and increasing the visibility and control over the inventory. Furthermore, supply chain management solutions address manufacturing needs in a variety of spheres such as sales and operations planning, product lifecycle management, manufacturing and logistics optimization, business intelligence, radio-frequency identification (RFID) of assets, business intelligence, raw material procurement, and network and inventory optimization. The extensive connectivity provided by analytics enables the manufacturing organizations in the U.S. to improve and enhance the communication across the supply chains.

Under the deployment segment, the on-premises category, on account of its higher adoption due to the greater control and security of data, had the larger share in the U.S. manufacturing analytics market in 2019.

The predictive maintenance category, under the application segment, is expected to witness the fastest growth in the market during the forecast period. Businesses, with the help of the manufacturing analytics solutions, can access information on equipment health, performance, and faults in real time and are, therefore, able to schedule maintenance or updation before the occurrence of the fault, thereby ensuring no or minimal disruption in operations.

In the U.S., the southern region is expected to hold more than 30% of the shares in the U.S. manufacturing analytics market in 2030. This is mainly attributed to the presence of a large number of manufacturing companies in the region. The easy availability of land for manufacturing along with a highly skilled workforce and the presence of world class infrastructure and pro-business laws, support the prosperity of the manufacturing industry in the region.

Due to the presence of a large number of players operating in it, the U.S. manufacturing analytics market is highly competitive. Some of the most prominent players operating in the market are Salesforce.com Inc., IBM Corporation, DXC Technology Company, SAS Institute Inc., SAP SE, Oracle Corporation, TIBCO Software Inc., Sisense Inc., Alteryx Inc., and General Electric Company.

In the recent years, the most prominent player in the U.S. manufacturing analytics market have taken numerous strategic measures for strengthening their market positions. For instance, Salesforce.com Inc. announced the acquisition of Tableau software, for $15.7 billion, in August 2019. The company, with the help of this acquisition, aims to strengthen its analytic capabilities, provide data visualization capabilities to the customers and help them in taking data-driven decisions.

In February 2019, the IBM Corporation announced the launch of AI-supported Maximo Asset Performance Management (APM) solutions, which collect real-time data from physical assets including elevators, turbine, mining equipment, and robots and offer insights on operating conditions as well as predict potential issues and provide the necessary repair recommendations.

Table of Contents

Chapter 1. Research Scope

  • 1.1 Research Objectives
  • 1.2 Market Definition
  • 1.3 Research Scope
    • 1.3.1 Market Segmentation by Solution
    • 1.3.2 Market Segmentation by Deployment
    • 1.3.3 Market Segmentation by Application
    • 1.3.4 Market Segmentation by Industry
    • 1.3.5 Market Segmentation by Region
    • 1.3.6 Analysis Period
    • 1.3.7 Market Data Reporting Unit
      • 1.3.7.1 Value
  • 1.4 Key Stakeholders

Chapter 2. Research Methodology

  • 2.1 Secondary Research
  • 2.2 Primary Research
    • 2.2.1 Breakdown of Primary Research Respondents
      • 2.2.1.1 By region
      • 2.2.1.2 By industry participant
      • 2.2.1.3 By company type
  • 2.3 Market Size Estimation
  • 2.4 Data Triangulation
  • 2.5 Assumptions for the Study
  • 2.6 Notes and Caveats

Chapter 3. Executive Summary

Chapter 4. Market Indicators

  • 4.1 U.S. Manufacturing Industry
  • 4.2 Industry 4.0
  • 4.3 Intelligent Connectivity Growth
  • 4.4 Corn and Other Feed Grains
  • 4.5 Others

Chapter 5. Industry Outlook

  • 5.1 Voice of Industry Experts
  • 5.2 Definition of Market Segments
    • 5.2.1 By Solution
      • 5.2.1.1 Software
      • 5.2.1.2 Service
        • 5.2.1.2.1 Professional
        • 5.2.1.2.2 Managed
    • 5.2.2 By Deployment
      • 5.2.2.1 On-premises
      • 5.2.2.2 Cloud
    • 5.2.3 By Application
      • 5.2.3.1 Asset management
      • 5.2.3.2 Inventory management
      • 5.2.3.3 SCM
      • 5.2.3.4 Predictive maintenance
      • 5.2.3.5 Energy management
      • 5.2.3.6 Customer management
      • 5.2.3.7 Emergency management
      • 5.2.3.8 Others
    • 5.2.4 By Industry
      • 5.2.4.1 Consumer products
      • 5.2.4.2 F&B
      • 5.2.4.3 Electronics
      • 5.2.4.4 Chemical
      • 5.2.4.5 Automotive & aerospace
      • 5.2.4.6 Oil & gas
      • 5.2.4.7 Pharmaceutical
      • 5.2.4.8 Others
  • 5.3 Market Dynamics
    • 5.3.1 Trends
      • 5.3.1.1 Implementation of virtualization
      • 5.3.1.2 Industrial internet of things (IIoT) and collaborative robots (cobots) gaining momentum
      • 5.3.1.3 Adoption of digital twins for smart maintenance
    • 5.3.2 Drivers
      • 5.3.2.1 Growing focus on simplifying supply chain management
      • 5.3.2.2 Increasing demand for greater organizational visibility through big data
    • 5.3.3 Restraints/Challenges
      • 5.3.3.1 Regulatory changes create uncertainty
      • 5.3.3.2 Lack of skilled labor
    • 5.3.4 Impact Analysis of Drivers/Restraints
      • 5.3.4.1 Impact analysis of drivers on market forecast
      • 5.3.4.2 Impact analysis of restraints on market forecast
  • 5.4 Value Chain Analysis
  • 5.5 Porter's Five Forces Analysis
  • 5.6 Production Process/Technology
    • 5.6.1 Elements in Analytics Software Development
  • 5.7 Consumer Behavior/Purchasing Criteria
    • 5.7.1 Demographic Trend
    • 5.7.2 Consumer Behavior Analysis and Purchasing Criteria
    • 5.7.3 Conclusion

Chapter 6. U.S. Market Size and Forecast

  • 6.1 By Solution
    • 6.1.1 Service, by Type
  • 6.2 By Deployment
  • 6.3 By Application
  • 6.4 By Industry
  • 6.5 By Region

Chapter 7. Competitive Landscape

  • 7.1 List of Players and Their Offerings
  • 7.2 Market Share Analysis of Key Players
  • 7.3 Competitive Benchmarking of Key Players
  • 7.4 Strategic Developments of Key Players
    • 7.4.1 Mergers & Acquisitions
    • 7.4.2 Product Launches
    • 7.4.3 Client Wins

Chapter 8. Company Profiles

  • 8.1 International Business Machines (IBM) Corporation
    • 8.1.1 Business Overview
    • 8.1.2 Product and Service Offerings
    • 8.1.3 Key Financial Summary
  • 8.2 SAP SE
    • 8.2.1 Business Overview
    • 8.2.2 Product and Service Offerings
    • 8.2.3 Key Financial Summary
  • 8.3 Oracle Corporation
    • 8.3.1 Business Overview
    • 8.3.2 Product and Service Offerings
    • 8.3.3 Key Financial Summary
  • 8.4 SAS Institute Inc.
    • 8.4.1 Business Overview
    • 8.4.2 Product and Service Offerings
  • 8.5 TIBCO Software Inc.
    • 8.5.1 Business Overview
    • 8.5.2 Product and Service Offerings
  • 8.6 Salesforce.com Inc.
    • 8.6.1 Business Overview
    • 8.6.2 Product and Service Offerings
    • 8.6.3 Key Financial Summary
  • 8.7 Alteryx Inc.
    • 8.7.1 Business Overview
    • 8.7.2 Product and Service Offerings
    • 8.7.3 Key Financial Summary
  • 8.8 Sisense Ltd.
    • 8.8.1 Business Overview
    • 8.8.2 Product and Service Offerings
  • 8.9 DXC Technology Company
    • 8.9.1 Business Overview
    • 8.9.2 Product and Service Offerings
    • 8.9.3 Key Financial Summary
  • 8.10 General Electric Company
    • 8.10.1 Business Overview
    • 8.10.2 Product and Service Offerings
    • 8.10.3 Key Financial Summary
  • 8.11 Stone Technologies Inc.
    • 8.11.1 Business Overview
    • 8.11.2 Product and Service Offerings
  • 8.12 SensrTrx LLC
    • 8.12.1 Business Overview
    • 8.12.2 Product and Service Offerings
  • 8.13 Anvizent (DW Practice LLC)
    • 8.13.1 Business Overview
    • 8.13.2 Product and Service Offerings
  • 8.14 VIMANA
    • 8.14.1 Business Overview
    • 8.14.2 Product and Service Offerings
  • 8.15 MachineMetrics Inc.
    • 8.15.1 Business Overview
    • 8.15.2 Product and Service Offerings
  • 8.16 Neubrain LLC
    • 8.16.1 Business Overview
    • 8.16.2 Product and Service Offerings
  • 8.17 Yokogawa Electric Corporation
    • 8.17.1 Business Overview
    • 8.17.2 Product and Service Offerings
    • 8.17.3 Key Financial Summary
  • 8.18 Altizon Systems Private Limited
    • 8.18.1 Business Overview
    • 8.18.2 Product and Service Offerings
  • 8.19 Vertech Industrial Systems LLC
    • 8.19.1 Business Overview
    • 8.19.2 Product and Service Offerings
  • 8.20 Brave Control Solutions Inc.
    • 8.20.1 Business Overview
    • 8.20.2 Product and Service Offerings

Chapter 9. Appendix

  • 9.1 Abbreviations
  • 9.2 Sources and References
  • 9.3 Related Reports

List of Tables

  • TABLE 1 ANALYSIS PERIOD OF THE STUDY
  • TABLE 2 DRIVERS FOR THE MARKET: IMPACT ANALYSIS
  • TABLE 3 RESTRAINTS FOR THE MARKET: IMPACT ANALYSIS
  • TABLE 4 U.S. MANUFACTURING ANALYTICS MARKET, BY SOLUTION, $M (2014-2019)
  • TABLE 5 U.S. MANUFACTURING ANALYTICS MARKET, BY SOLUTION, $M (2020-2030)
  • TABLE 6 U.S. MANUFACTURING ANALYTICS SERVICE MARKET, BY TYPE, $M (2014-2019)
  • TABLE 7 U.S. MANUFACTURING ANALYTICS SERVICE MARKET, BY TYPE, $M (2020-2030)
  • TABLE 8 U.S. MANUFACTURING ANALYTICS MARKET, BY DEPLOYMENT, $M (2014-2019)
  • TABLE 9 U.S. MANUFACTURING ANALYTICS MARKET, BY DEPLOYMENT, $M (2020-2030)
  • TABLE 10 U.S. MANUFACTURING ANALYTICS MARKET, BY APPLICATION, $M (2014-2019)
  • TABLE 11 U.S. MANUFACTURING ANALYTICS MARKET, BY APPLICATION, $M (2020-2030)
  • TABLE 12 U.S. MANUFACTURING ANALYTICS MARKET, BY INDUSTRY, $M (2014-2019)
  • TABLE 13 U.S. MANUFACTURING ANALYTICS MARKET, BY INDUSTRY, $M (2020-2030)
  • TABLE 14 TOP 15 STATES FOR BUSINESS IN THE U.S. (2019)
  • TABLE 15 U.S. MANUFACTURING ANALYTICS MARKET, BY REGION, $M (2014-2019)
  • TABLE 16 U.S. MANUFACTURING ANALYTICS MARKET, BY REGION, $M (2020-2030)
  • TABLE 17 LIST OF PLAYERS AND THEIR OFFERINGS
  • TABLE 18 COMPETITIVE BENCHMARKING OF KEY PLAYERS
  • TABLE 19 IBM CORPORATION - AT A GLANCE
  • TABLE 20 IBM CORPORATION - KEY FINANCIAL SUMMARY
  • TABLE 21 SAP SE - AT A GLANCE
  • TABLE 22 SAP SE - KEY FINANCIAL SUMMARY
  • TABLE 23 ORACLE CORPORATION - AT A GLANCE
  • TABLE 24 ORACLE CORPORATION - KEY FINANCIAL SUMMARY
  • TABLE 25 SAS INSTITUTE INC. - AT A GLANCE
  • TABLE 26 TIBCO SOFTWARE INC. - AT A GLANCE
  • TABLE 27 SALESFORCE.COM INC. - AT A GLANCE
  • TABLE 28 SALESFORCE.COM INC. - KEY FINANCIAL SUMMARY
  • TABLE 29 ALTERYX INC. - AT A GLANCE
  • TABLE 30 ALTERYX INC. - KEY FINANCIAL SUMMARY
  • TABLE 31 SISENSE LTD. - AT A GLANCE
  • TABLE 32 DXC TECHNOLOGY COMPANY - AT A GLANCE
  • TABLE 33 DXC TECHNOLOGY COMPANY - KEY FINANCIAL SUMMARY
  • TABLE 34 GENERAL ELECTRIC COMPANY - AT A GLANCE
  • TABLE 35 GENERAL ELECTRIC COMPANY - KEY FINANCIAL SUMMARY
  • TABLE 36 STONE TECHNOLOGIES INC. - AT A GLANCE
  • TABLE 37 SENSRTRX LLC - AT A GLANCE
  • TABLE 38 ANVIZENT (DW PRACTICE LLC) - AT A GLANCE
  • TABLE 39 VIMANA - AT A GLANCE
  • TABLE 40 MACHINEMETRICS INC. - AT A GLANCE
  • TABLE 41 NEUBRAIN LLC - AT A GLANCE
  • TABLE 42 YOKOGAWA ELECTRIC CORPORATION - AT A GLANCE
  • TABLE 43 YOKOGAWA ELECTRIC CORPORATION - KEY FINANCIAL SUMMARY
  • TABLE 44 ALTIZON SYSTEMS PRIVATE LIMITED - AT A GLANCE
  • TABLE 45 VERTECH INDUSTRIAL SYSTEMS LLC - AT A GLANCE
  • TABLE 46 BRAVE CONTROL SOLUTIONS INC. - AT A GLANCE

List of Figures

  • FIG 1 RESEARCH SCOPE
  • FIG 2 RESEARCH METHODOLOGY
  • FIG 3 REGIONAL SPLIT OF PRIMARY AND SECONDARY RESEARCH
  • FIG 4 BREAKDOWN OF PRIMARY RESEARCH BY REGION
  • FIG 5 BREAKDOWN OF PRIMARY RESEARCH BY INDUSTRY PARTICIPANT
  • FIG 6 BREAKDOWN OF PRIMARY RESEARCH BY COMPANY TYPE
  • FIG 7 DATA TRIANGULATION APPROACH
  • FIG 8 U.S. MANUFACTURING ANALYTICS MARKET SUMMARY
  • FIG 9 PERCENTAGE OF MANUFACTURING IN U.S. GDP
  • FIG 10 U.S. CORN PRODUCTION (MILLION METRIC TONS)
  • FIG 11 U.S. BARLEY PRODUCTION (MILLION METRIC TONS)
  • FIG 12 U.S. SORGHUM PRODUCTION (MILLION METRIC TONS)
  • FIG 13 VALUE CHAIN ANALYSIS OF U.S. MANUFACTURING ANALYTICS MARKET
  • FIG 14 BARGAINING POWER OF BUYERS
  • FIG 15 BARGAINING POWER OF SUPPLIERS
  • FIG 16 INTENSITY OF RIVALRY
  • FIG 17 THREAT OF NEW ENTRANTS
  • FIG 18 THREAT OF SUBSTITUTES
  • FIG 19 PROCESSES IN ANALYTICS SOFTWARE DEVELOPMENT
  • FIG 20 ANALYTICS SOFTWARE DEVELOPMENT WORKFLOW
  • FIG 21 DESIGNATION OF RESPONDENTS
  • FIG 22 RESPONDENTS' LINE OF WORK
  • FIG 23 ORGANIZATION SIZE OF RESPONDENTS
  • FIG 24 NUMBER OF MACHINES IN RESPONDENTS' MANUFACTURING FACILITIES
  • FIG 25 PROCESSING TYPE OF MANUFACTURING SET-UP
  • FIG 26 PERCENTAGE OF FACILITITY OPERATIONS RUNNING ON ANALYTICS TECHNOLOGIES
  • FIG 27 VISIBILITY OF BENEFITS FROM DEPLOYED ANALYTICS SOLUTIONS
  • FIG 28 BENEFITS AFTER DEPLOYMENT OF ANALYTICS SOLUTIONS IN OVERALL BUSINESS OPERATIONS INTEGRATORS (MULTIPLE ANSWER QUESTION)
  • FIG 29 KEY INFORMATION SOURCES FOR CAPTURING DATA INTEGRATORS (MULTIPLE ANSWER QUESTION)
  • FIG 30 INFRASTRUCTURAL FACILITIES FOR DATA CAPTURING INTEGRATORS (MULTIPLE ANSWER QUESTION)
  • FIG 31 OBJECTIVE BEHIND ANALYTICS SOLUTIONS DEPLOYMENT
  • FIG 32 AWARENESS OF TECHNOLOGIES UTILZED FOR MANUFACTURING ANALYTICS INTEGRATORS (MULTIPLE ANSWER QUESTION)
  • FIG 33 TYPE OF TECHNOLOGIES ADOPTED IN MANUFACTURING FACILITIES INTEGRATORS (MULTIPLE ANSWER QUESTION)
  • FIG 34 CHALLENGES FACED BY MANUFACTURERS IN ADOPTION OF ANALYTICS SOLUTIONS INTEGRATORS (MULTIPLE ANSWER QUESTION)
  • FIG 35 APPLICATION AREAS OF DEPLOYED ANALYTICS SOLUTIONS INTEGRATORS (MULTIPLE ANSWER QUESTION)
  • FIG 36 MANUFACTURERS TO DEPLOY ANALYTICS SOLUTIONS FOR DIFFERENT APPLICATION AREAS
  • FIG 37 MAJOR MANUFACTURING ANALYTICS SOLUTION VENDORS INTEGRATORS (MULTIPLE ANSWER QUESTION)
  • FIG 38 MAJOR MANUFACTURING ANALYTICS SOLUTION INTEGRATORS (MULTIPLE ANSWER QUESTION)
  • FIG 39 PRIME CAPABILITIES OF MANUFACTURING ANALYTICS SOLUTIONS INTEGRATORS (MULTIPLE ANSWER QUESTION)
  • FIG 40 PRIME FACTORS TO ADOPT MANUFACTURING ANALYTICS SOLUTIONS INTEGRATORS (MULTIPLE ANSWER QUESTION)
  • FIG 41 WILLINGNESS TO INVEST IN ANALYTICS AND DATA CAPTURE SOLUTIONS
  • FIG 42 U.S. MANUFACTURING ANALYTICS MARKET, BY SOLUTION, $M (2014-2030)
  • FIG 43 U.S. MANUFACTURING ANALYTICS SERVICE MARKET, BY TYPE, $M (2014-2030)
  • FIG 44 U.S. MANUFACTURING ANALYTICS MARKET, BY DEPLOYMENT, $M (2014-2030)
  • FIG 45 U.S. MANUFACTURING ANALYTICS MARKET, BY APPLICATION, $M (2014-2030)
  • FIG 46 U.S. MANUFACTURING ANALYTICS MARKET, BY INDUSTRY, $M (2014-2030)
  • FIG 47 U.S. MANUFACTURING ANALYTICS MARKET, BY REGION, $M (2014-2030)
  • FIG 48 U.S. MANUFACTURING ANALYTICS MARKET SHARE ANALYSIS OF KEY PLAYERS (2019)
  • FIG 49 IBM CORPORATION - REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2018)
  • FIG 50 SAP SE - REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2018)
  • FIG 51 ORACLE CORPORATION - REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2019)
  • FIG 52 SALESFORCE.COM INC. - REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2019)
  • FIG 53 ALTERYX INC. - REVENUE SPLIT BY GEOGRAPHY (2019)
  • FIG 54 DXC TECHNOLOGY COMPANY - REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2019)
  • FIG 55 GENERAL ELECTRIC COMPANY - REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2018)
  • FIG 56 YOKOGAWA ELECTRIC CORPORATION - REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2019)