DUBLIN--(BUSINESS WIRE)--Research and Markets has announced the addition of the "Artificial Intelligence (Ai) Market By Technology (Machine Learning, Natural Language Processing (Nlp), Image Processing, And Speech Recognition), Application & Geography - Global Forecast To 2020" report to their offering. The author forecasts the artificial intelligence market to grow from USD 419.7 Million in 2014 to USD 5.05 Billion by 2020, at a CAGR of 53.65% from 2015 to 2020. The major factors driving the growth of this market include diversified application areas of AI, improved productivity, and increased level of customer satisfaction. In addition, the rising demand for intelligent systems is expected to propel the growth of the market in the next five years. The scope of this report covers the artificial intelligence market by technology, application, and region.
Johnson & Johnson said it now expects full-year earnings in the range of $7 to $7.15 per share, up from its January forecast of $6.93 to $7.08 per share. Analysts had been expecting $7.07 per share, on average. J&J also increased its revenue forecast to a range of $75.4 billion to $76.1 billion, up from $74.1 billion to $74.8 billion. The company said it raised the forecast due to the estimated impact of sales from its planned acquisition of Swiss drug maker Actelion, which is expected to close this quarter.
Zynga topped Wall Street forecasts Wednesday with its first-quarter financial results, the first under new CEO Frank Gibeau. The San Francisco-based maker of FarmVille and other titles reported sales of 187 million, beating forecasts of 171.85 million, according to analysts polled by S&P Global Market Intelligence. Earnings were break-even, besting projections of a loss of a penny per share. First-quarter bookings, the money spent on games by consumers, reached 182 million, up 8% from a year ago. News of the financial results sent Zynga shares surging 11.5% to 2.57 in Thursday trading.
Natural language processing (NLP) is a technology spawned from the need for machines to understand and communicate with humans in human language, not formal computer languages. The concept behind NLP is simple: if and when machines can understand and communicate with humans in natural (human) language, it democratizes data science, enabling humans to access, analyze, and leverage data more intelligently and become more efficient as they offload redundant, data-heavy tasks to machines. According to a new report from Tractica, while NLP is most commonly understood as a user interface (UI) technology, it is also a critical technology for extracting insights and analysis from a vast amount of previously unindexed and unstructured data, mining video and audio files, emails, scanned documents, and more. Tractica forecasts that these expanded applications, leveraging newly developed artificial intelligence (AI) techniques, will drive growth in the NLP software market from $136 million in 2016 to $5.4 billion by 2025. The market intelligence firm anticipates that NLP software deployments will drive significant additional sales of hardware and professional services, bringing the total NLP software, hardware, and services market opportunity to $22.3 billion by the end of the forecast period.
Artificial intelligence (AI) is poised to have a transformative effect on consumer, enterprise, and government markets around the world. An umbrella term that refers to information systems inspired by biological systems, AI encompasses multiple technologies including machine learning, deep learning, computer vision, natural language processing (NLP), machine reasoning, and strong AI. According to a new report from Tractica, these technologies have use cases and applications in almost every industry and promise to significantly change existing business models while simultaneously creating new ones. The market intelligence firm forecasts that annual worldwide AI revenue will grow from $643.7 million in 2016 to $36.8 billion by 2025. In sizing and forecasting the total global AI market, Tractica has identified 191 real-world use cases for AI, organized into 27 different industry sectors and corresponding with six major technology categories, plus multiple combinations of technologies.