Artificial Intelligence (AI) facilitates the efficient and effective supply of information to enterprises for optimized business decision-making. Major IT and software vendor companies are investing billions to generate revenue from AI based commercial solutions in various areas including robotics, machine translators, chat bots, voice recognizers, business intelligence systems, mobility control systems, intelligent search, and more.
The AI based solution market is valued at US$ 900 million globally by year end 2013 and is expected to grow exponentially over the next five years. Some of the biggest opportunity areas are commercial applications, search in the Big Data environment, and mobility control for generation of actionable business intelligence. The entire mobile/wireless ecosystem is well-positioned for AI via the growing adoption and expanded usage of consumer and enterprise electronics devices including smartphone, tablet, portable devices and wearable technologies.
Artificial Intelligence in Big Data, Commercial Apps, Mobility and Search evaluates the market for AI solutions within commercial applications, business intelligence, search analytics in mobility environment, and more. This report analyzes the potential for enterprises to improve performance through AI, development of AI solution in cloud environment, and AI for Big Data control. The report also includes vendor analysis and market predictions.
Companies in Report:
- AI companies
- Big Data companies
- Mobile network operators
- Wireless device manufacturers
- Wireless application developers
- Analytics and data reporting companies
- Cloud infrastructure and service providers
APPLE, GOOGLE, MICROSOFT, IBM, HP, INTEL, SAP, FACEBOOK, ORACLE, I2 TECHNOLOGIES, SAS SYSTEM, DELL, AMAZON, HTC, LG, SONY, NOKIA, LENOVO, SAMSUNG, OPTIMIZELY, NETFLEX, MOTOROLLA, TOSHIBA, DATLOGIC, HONEYWELL, TERADATA, TABLEU, QLIKTECH, TETAPP, FUZITSU, CLOUDERA, 10GEN, SPLUNK, ACTIAN, CISCO, ACCENTURE, HITACHI, VMWARE
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.