Smart Mobility Market expected to grow at an impressive CAGR of 49% with Drivers, Restraints, Opportunities, Trends, and Forecasts up to 2023

November 02 16:58 2017

Global Smart Mobility Market : Drivers, Restraints, Opportunities, Trends, and Forecasts up to 2023
A new independent 104 page research with title ‘Global Smart Mobility Market : Drivers, Restraints, Opportunities, Trends, and Forecasts up to 2023’ guarantees you will remain better informed than your competition.

The Machine Learning as a Service in Manufacturing Market is expected to reach $ 626.82 million by 2023
Increased application of advanced analytics in manufacturing, high volume of structured and unstructured production and shop floor data, integration of machine learning with big data and other AI technologies, rising importance of predictive and preventive maintenance are few factors propelling the market growth.

Request a sample report @ https://www.htfmarketreport.com/sample-report/768551-global-smart-mobility-market

According to Research, a new wave of digitization is impacting the manufacturing industry. The advent of Industrie 4 and industrial Internet of Things (IIoT) has revolutionized the manufacturing industry. In the imminent future, machine learning will prove to be a disruptive trend in the manufacturing industry and bring about mammoth improvement in productivity, supply chain efficiency, and product quality, optimize production processes, and enable economies of scale. The market is expected to grow at an impressive CAGR of 49%. The market growth is driven by growth factors such as the rising importance of predictive and preventive maintenance, the increased application of advanced analytics in manufacturing, a huge volume of structured and unstructured manufacturing data, and integration of machine learning with big data and other technologies. The market faces some restraining factors such as implementation challenges, the dearth of skilled data scientists, rigid business models, data security, and data inaccessibility concerns and affordability concerns of organizations. The market is on a high growth trajectory due to unexploited opportunities such as untapped data, digitization in manufacturing, and the increasing complexities in manufacturing processes.

Buy this report @ https://www.htfmarketreport.com/buy-now?format=1&report=768551

The Machine learning as a Service in Manufacturing Market has been segmented and analyzed by components, deployment modes, end-users, and regions. The market has been analyzed by components such as software tools, cloud and web-based application interface, and other components. The market has also been studied in terms of process and discrete industries. It has been segmented and analyzed by deployment modes as either public or private.
The regions studied in the report are Americas, Europe, APAC, and MEA. Americas holds the largest market share followed by Europe and APAC. The Americas has experienced extensive adoption of machine learning technologies. The manufacturing industry is a major contributor to GDP of the American as well as European countries. Digitization is significantly impacting the manufacturing industry and advanced analytics is being extensively applied across diverse manufacturing industries in these regions. China, Japan, India, and South Korea are the leading countries in APAC for Machine Learning as a Service in Manufacturing Market. Discrete industries account for a greater share of the market than discrete industries.
“The manufacturing industry has been a slow adopter of machine learning, but the new wave of digitization, with the advent of Industrie 4 and IIoT, has brought about a paradigm shift in the manufacturing industry. Machine learning as a service through subscription models has become a cost viable option for manufacturers who earlier had been hesitant to adopt ML in their production processes. The future of machine learning as a service in manufacturing is promising with greater integration of machine learning with AI technologies.”- Shayantani Deb Roy, Team Lead, Infoholic Research

The report covers the present scenario and the growth prospects of the Machine Learning as a Service in Manufacturing Market during the forecast period (2017-2023). The report provides an exhaustive analysis of the industry covering the following features:
  The report is analyzed based on components, deployment mode, end-users, and regions
  The report covers the evolution of machine learning in the manufacturing industry, its features, advantages, and importance

  The report covers the drivers, restraints, and opportunities(DRO) in the market impacting the market growth during the forecast years

  The report includes a detailed vendor profiling, which includes financial health, business units, key business priorities, SWOT analysis, business strategy

  The report covers implementation and adoption of machine learning as a service in the manufacturing industry

Get customization & check discount for report @ https://www.htfmarketreport.com/request-discount/768551-global-smart-mobility-market

Table of Contents
1 Industry Outlook 9
1.1 Industry Overview 9
1.2 Industry Trends 10
1.3 Pest Analysis 13
2 Report Outline 15
2.1 Report Scope 15
2.2 Report Summary 16
2.3 Research Methodology 17
2.4 Report Assumptions 18
3 Market Snapshot 19
3.1 Total Addressable Market (TAM) 19
3.2 Related Markets 21
4 Market Outlook 22
4.1 Overview 22
4.2 Regulatory Bodies & Standards 22
4.3 Porter 5 (Five) Forces 24
5 Market Characteristics 25
5.1 Machine Learning Process 25
5.2 Applications of Machine Learning in Manufacturing 26
5.3 Market Segmentation 27
5.4 Market Dynamics 28
5.4.1 Drivers 29
5.4.1.1 Rising Importance of Predictive and Preventive Maintenance 29
5.4.1.2 Increased Adoption of Advanced Analytics in Manufacturing 29

….Continued

View Detailed Table of Content @ https://www.htfmarketreport.com/reports/768551-global-smart-mobility-market

Thanks for reading this article, you can also get individual chapter wise section or region wise report version like North America, Europe or Asia.

Media Contact
Company Name: HTF Market Intelligence Consulting Private Limited
Contact Person: Craig Francis
Email: Send Email
Phone: 2063171218
Address:Unit No. 429, Parsonage Road
City: Edison
State: New Jersey
Country: United States
Website: https://www.htfmarketreport.com/reports/768551-global-smart-mobility-market

  Categories: