secondary research
Artificial Intelligence Software Market : Segments, Leading Player, Application & Forecast Analysis 2027 – Bulletin Line
Artificial Intelligence Software Market has witnessed continuous growth in the past few years and is projected to grow even further during the forecast period (2020-2027). The research presents a complete assessment of the market and contains Future trend, Current Growth Factors, attentive opinions, facts, historical data, and statistically supported and industry validated market data. Artificial Intelligence Software Market research report also provides an overall analysis of the market share, size, segmentation, revenue forecasts and geographic regions of the Artificial Intelligence Software Market along with industry leading players are studied with respect to their company profile, product portfolio, capacity, price, cost and revenue. The research report also provides detail analysis on the Artificial Intelligence Software Market current applications and comparative analysis with more focused on the pros and cons of Artificial Intelligence Software and competitive analysis of major companies. Key players in the Artificial Intelligence Software market have been identified through secondary research, and their market shares have been determined through primary and secondary research.
Commercial Artificial Intelligence Market Estimated Forecast Analysis 2019 – 2027 – Daily Peace Times
Transparency Market Research, in its latest market intelligence study, finds that the global Commercial Artificial Intelligence market registered a value of US$ xx Mn/Bn in 2018 and is spectated to grow at CAGR of xx% during the foreseeable period 2019-2029. In terms of product type, segment holds the largest share, while segment 1 and segment 2 hold significant share in terms of end use. The Commercial Artificial Intelligence market study outlines the key regions – Region 1 (Country 1, Country 2), region 2 (Country 1, Country 2), region 3 (Country 1, Country 2) and region 4 (Country 1, Country 2). All the consumption trends and adoption patterns of the Commercial Artificial Intelligence are covered in the report. The report has been compiled through extensive primary research (through interviews, surveys, and observations of seasoned analysts) and secondary research (which entails reputable paid sources, trade journals, and industry body databases).
Artificial Intelligence and Machine Learning Market Analysis, Trends, and Forecasts Report 2019 - AppWebRadar
Artificial Intelligence and Machine Learning Market has witnessed continuous growth in the past few years and is projected to grow even further during the forecast period (2018-2026). The research presents a complete assessment of the market and contains Future trend, Current Growth Factors, attentive opinions, facts, historical data, and statistically supported and industry validated market data. Artificial Intelligence and Machine Learning Market research report also provides an overall analysis of the market share, size, segmentation, revenue forecasts and geographic regions of the Artificial Intelligence and Machine Learning Market along with industry leading players are studied with respect to their company profile, product portfolio, capacity, price, cost and revenue. The research report also provides detail analysis on the Artificial Intelligence and Machine Learning Market current applications and comparative analysis with more focused on the pros and cons of Artificial Intelligence and Machine Learning and competitive analysis of major companies. Key players in the Artificial Intelligence and Machine Learning market have been identified through secondary research, and their market shares have been determined through primary and secondary research.
- Research Report > New Finding (0.60)
- Research Report > Experimental Study (0.60)
- Marketing (0.92)
- Banking & Finance > Trading (0.72)
A Few Statistics Tips for Marketers
Statistics is a huge field and many disciplines such as biology, economics and psychology have made significant contributions to it. This link to journals published by the American Statistical Association and this link regarding the popular statistical software R demonstrate just how big a field it is. Statistics is not just point-and-click and its growing complexity makes simplifying it more difficult, not easier. Moreover, in his popular textbook Statistical Rethinking, Richard McElreath of the Max Planck Institute makes a very important observation: "...statisticians do not in general exactly agree on how to analyze anything but the simplest of problems. The fact that statistical inference uses mathematics does not imply that there is only one reasonable or useful way to conduct an analysis. Engineering uses math as well but there are many ways to build a bridge."
AI in Agriculture Market by Technology (Machine Learning, Computer Vision, Predictive Analytics), Offering, Application (Precision Farming, Drone Analytics, Agriculture Robots, Livestock Monitoring), Offering, and Geography – Global Forecast to 2025…, Market Research Report: MarketsandMarkets – MilTech
The artificial intelligence (AI) in agriculture market was valued at USD 432.2 Million in 2016 and is expected to be valued at USD 2,628.5 Million by 2025, at a CAGR of 22.5% during the forecast period. The base year considered for this study is 2016, and the market forecast is provided for the period between 2017 and 2025. The size of the AI in agriculture market has been estimated using both top-down and bottom-up approaches. These approaches have been used to estimate and validate the size of the AI in agriculture market and various other dependent submarkets. The key players in the market have been identified through secondary research, and their regional market shares have been determined through primary and secondary research.
- North America > Canada (0.08)
- Asia > Middle East > Israel (0.08)
- Europe > Switzerland (0.06)
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- Food & Agriculture > Agriculture (1.00)
- Education > Curriculum > Subject-Specific Education (0.40)
- Information Technology > Data Science > Data Mining (0.76)
- Information Technology > Artificial Intelligence > Robots (0.67)