Industrial Convergence Revolution: Smart Cities, Industry 4.0, Big Data in Manufacturing, and Industrial IoT Bundle
This product is a collection of several individual publications.
Smart Cities, Big Data in Manufacturing, and Industrial Internet of Things (IIoT) represent three key technology areas that are converging and will profoundly transform business and citizen lifestyles at the global level. Smart Cities are much more than just an effort by sovereign nations to modernize their infrastructure - they are a focal point for growth drivers in several key ICT areas including: M2M/IoT, Connected Devices, Broadband Wireless, Cloud Computing, Big Data and Analytics. Smart City developments are causing many technologies and solutions to integrate with convergence seen across with many resource areas including energy, water, sanitation, and other essential services.
The manufacturing industry is rapidly transforming as technology, competition, and the evolving demands of global consumers dictate the need for continuously improving efficiencies and flexibility. The Internet of Things (IoT) will overtake human communications rapidly as there are vastly more objects in the world than humans, they can communicate much faster, much more frequently, and for many more reasons than humans. IIoT represents a very important segment, which includes manufacturing, automation, and virtually any process or operation that does not directly involve direct consumer interaction.
This research assesses Smart Cities, Big Data in Manufacturing, and Industrial IoT. Mind Commerce evaluates how Big Data is helping manufacturing sector to design new business models, revamp operational process, and facilitate cost effective supply chain solutions. We also provide key observations identified during the research, which provides information about perception and expectations of Big Data solutions in manufacturing. The report includes forecasts and quantitative data for Big Data in Manufacturing by sector, segment and region.
Mind Commerce also evaluates the technologies, companies, solutions, and market outlook for IIoT. The report evaluates key trends, analyzes market drivers, and provides forecasting for IIoT. All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.
Big Data vendors
Telecom service providers
Telecom equipment providers
Global infrastructure suppliers
Communications component providers
Cloud services and datacenter companies
Smartgrid and energy management companies
Big data, analytics, and information processing companies
Sovereign investment funds, hedge funds and private equity
Mind Commerce Publishing's research methodology encompasses input from a wide variety of sources.
We rely heavily upon our Subject Matter Experts (SME) in terms of their market knowledge, unique perspective, and vision. We utilize SME industry contacts as well as previous customers and participants in our market surveys and interactive interviews.
In addition, we rely upon our extensive internal database, which contains modeling, qualitative analysis, and quantitative data. We review secondary sources and compare to our primary sources to update previous findings (for prior version reports) and/or compile baseline information for technology and market modeling.
We share preliminary models with industry contacts (select previous clients, experts, and thought leaders) to verify the veracity of initial modeling. Prior to final report production (analysis, findings, and conclusions), we engage in an internal review with internal SMEs as well as cross-expertise, senior staff members to challenge results.
We believe that forecasts should be prepared as part of an integrated process which involves both quantitative as well as qualitative factors. We follow the following 3-step process for forecasting.
Step 1 - Forecasts Input: The inputs for the present and historical revenues are derived from industry players. Financial and other quantitative data for individual sub-market categories are derived from original research and tested with interviews with major industry constituents.
Step 2 - Forecasting of Future Years: Mind Commerce extends forecasts based on a variety of factors including demand drivers as well as supply side data. Key success factors and assumptions are considered.
Step 3 - Validation of Data: The final step is to validate projections, which is accomplished in consultation with both internal and external industry experts, including both topic and regional experts. Adjustments are made to the forecasts based on factors identified throughout this process.