关键词：数字时代；组织功能；扰乱；业务模式；流程；技术；就业机会；工业企业；工程分析；大量投资
摘 要：The digital era has transformed the way organizations function, disrupting a significant number of business models, processes, technologies, and jobs. As digital data is exploding at a very rapid rate, companies are increasingly pressurized to focus on extracting value from data and implement strategies to make better business decisions. Engineering analytics technology is likely to play a significant role in transforming legacy industrial processes and automated industrial processes. Industries such as manufacturing, healthcare, automotive, transportation, energy, and utilities are some of the industries to embrace the changes. The inevitable need to do everything to reduce costs, increase productivity, enhance efficiency, and grow with the industrial evolution has stimulated the uptake of engineering analytics products and solutions. Deriving actionable intelligence from raw data collected from various internal and external sources is increasingly becoming a strategic priority in industry leadership teams. Engineering analytics solutions help enable this strategy. Engineering analytics services aid in the planning and deployment phases of adopting engineering analytics solutions. Sensor data thus is increasingly gaining huge focus and Technavio expects a high level of investment in this space. Engineering analytics services are predominantly addressable by IT service providers and are associated with the deployment of engineering analytics products. Industrial companies are investing heavily in engineering analytics services for their consulting, system integration, and custom development needs. Technavio expects increased spending on engineering analytics services from OEMs of industrial, energy and utility, and other industries (including transportation, aerospace, and healthcare).
目 录：

01. Executive Summary

02. List of Abbreviations

03. Scope of the Report

03.1 Market Overview

03.2 Services Offerings

04. Market Research Methodology

04.1 Market Research Process

04.2 Research Methodology

05. Introduction

06. Market Landscape

06.1 Market Overview

06.2 Market Size and Forecast

06.3 Five Forces Analysis

07. Market Segmentation by Type

07.1 Global Engineering Analytics Services Market by

Type 2014

07.2 System Development Services

07.2.1 Market Size and Forecast

07.3 Consulting Services

07.3.1 Market Size and Forecast

07.4 System Integration Services

07.4.1 Market Size and Forecast

08. Market Segmentation by End-user

08.1 Global Engineering Analytics Services Market by

End-user 2014

08.2 Industrial

08.2.1 Market Size and Forecast

08.3 Energy and Utility

08.3.1 Market Size and Forecast

08.4 Others

08.4.1 Aerospace

08.4.2 Healthcare

09. Geographical Segmentation

09.1 Global Engineering Analytics Services by

Geographical Segmentation 2014

10. Buying Criteria

11. Market Growth Drivers

12. Drivers and their Impact

13. Market Challenges

14. Impact of Drivers and Challenges

15. Market Trends

16. Trends and their Impact

17. Vendor Landscape

17.1 Market Share Analysis 2014

17.2 Other Prominent Vendors

18. Key Vendor Analysis

18.1 HCL Technologies

18.1.1 Key Facts

18.1.2 Business Overview

18.1.3 Business Segmentation by Revenue 2013

18.1.4 Business Segmentation by Revenue 2012 and 2013

18.1.5 Geographical Segmentation by Revenue 2013

18.1.6 Business Strategy

18.1.7 Recent Developments

18.1.8 SWOT Analysis

18.2 Infosys

18.2.1 Key Facts

18.2.2 Business Overview

18.2.3 Revenue by Business Segmentation 2014

18.2.4 Revenue by Business Segmentation 2013 and 2014

18.2.5 Revenue by Geographical Segmentation 2014

18.2.6 Business Strategy

18.2.7 Key Information

18.2.8 SWOT Analysis

18.3 L&T

18.3.1 Key Facts

18.3.2 Business Overview

18.3.3 Business Segmentation by Revenue 2014

18.3.4 Business Segmentation by Revenue 2013 and 2014

18.3.5 Geographical Segmentation by Revenue 2014

18.3.6 Business Strategy

18.3.7 Recent Developments

18.3.8 SWOT Analysis

18.4 TCS

18.4.1 Key Facts

18.4.2 Business Overview

18.4.3 Revenue by Business Segmentation 2013

18.4.4 Revenue by Business Segmentation 2012 and 2013

18.4.5 Revenue by Geographical Segmentation 2013

18.4.6 Business Strategy

18.4.7 Recent Developments

18.4.8 SWOT Analysis

18.5 Tech Mahindra

18.5.1 Key Facts

18.5.2 Business Overview

18.5.3 Business Segmentation

18.5.4 Business Segmentation by Revenue 2013 and 2014

18.5.5 Geographical Segmentation by Revenue 2014

18.5.6 Recent Developments

18.5.7 SWOT Analysis

18.6 Wipro

18.6.1 Key Facts

18.6.2 Business Overview

18.6.3 Revenue by Business Segmentation 2014

18.6.4 Revenue by Business Segmentation 2013 and 2014

18.6.5 Revenue by Geographical Segmentation 2014

18.6.6 Business Strategy

18.6.7 Recent Developments

18.6.8 SWOT Analysis

19. Other Reports in this Series