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Inquire or Share Your Questions If Any Before the Purchasing This Report- Key questions answered in the report include: Key Market Trends: Consumer Engagement is expected to register a Significant Growth Investment made by the former chairman of Tata Sons, in Techbin Solutions Pvt Ltd’s (which is an AI fueled chatbot that conducts conversations with consumers to assist them to order a wide range of services with the help of a chat interface), is depicting the investments and growth of the usage of chabots.

In North America, the readiness for adoption and high fractional increase in replacement AI are the leading drivers of their economic impact, which reflects the regions leading stance on AI and its implementation, and also the high automation potential that is expected to occur at the regional level, between now and 2030.Besides, food processing is one of the major manufacturing sectors in the United States.

INTRODUCTION 1.1 Study Deliverables 1.2 Study Assumptions 1.3 Scope of the Study 2 RESEARCH METHODOLOGY 3 EXECUTIVE SUMMARY 4 MARKET DYNAMICS 4.1 Market Overview 4.2 Introduction to Market Drivers and Restraints 4.3 Market Drivers 4.3.1 Drastic Improvements in Efficiency Across the Supply Chain 4.3.2 Reduced Chance of Human Error and Associated Inaccuracies 4.3.3 Attractive, with the Ability to Generate Consumer Interest 4.4 Market Restraints 4.4.1 High Cost Associated with Large-scale Deployment of the Technology 4.5 Value Chain / Supply Chain Analysis 4.6 Industry Attractiveness Porters Five Force Analysis 4.6.1 Threat of New Entrants 4.6.2 Bargaining Power of Buyers/Consumers 4.6.3 Bargaining Power of Suppliers 4.6.4 Threat of Substitute Products 4.6.5 Intensity of Competitive Rivalry 5 MARKET SEGMENTATION 5.1 By Application 5.1.1 Food Sorting 5.1.2 Quality Control and Safety Compliance 5.1.3 Consumer Engagement 5.1.4 Production and Packaging 5.1.5 Maintenance 5.1.6 Other Applications 5.2 By End Users 5.2.1 Food Processing Industry 5.2.2 Hotel and Restaurant 5.2.3 Beverage Industry 5.3 Geography 5.3.1 North America 5.3.2 Europe 5.3.3 Asia Pacific 5.3.4 Rest of the World 6 COMPETITIVE LANDSCAPE 6.1 Company Profiles 6.1.1 Raytec Vision SpA 6.1.2 Rockwell Automation Inc.

Global Artificial Intelligence (AI) in Agriculture Market Study (2019-2024): Set to Exhibit a CAGR of 28.38% During the Forecast Period

Dublin, Dec. 13, 2019 (GLOBE NEWSWIRE) -- The 'Global Artificial Intelligence (AI) in Agriculture Market: Focus on Product Type (Software, Hardware, AI-as-a-Service), Farming Type (Field Farming, Livestock, Indoor), Application (Crop Protection, Weather Forecasting, Automation), Funding - Analysis and Forecast, 2019-2024' report has been added to's offering.

The reported growth in the market is expected to be driven by the increasing need to optimize farm operation planning, growing demand to derive insights from emerging complexities of data-driven farming and rising development of autonomous equipment in agriculture.

Such favorable advantages associated with the technology have led to extensive investments by all types of stakeholders including government, private investors, corporations, and academic institutions, from across the world.

Its capability to enable precision and autonomy in farm operations has especially caught the attention of growers across the world.Scope of the ReportThe global artificial intelligence in agriculture market research provides a detailed perspective regarding the adoption of AI technology in the agriculture industry, its market size in value, its estimation, and forecast, among others.

The purpose of this market analysis is to examine the outlook of artificial intelligence technology in the agriculture industry in terms of factors driving the market, trends, developments, and regulatory landscape, among others.

The report further takes into consideration the funding and investment landscape, government initiatives landscape, market dynamics, and the competitive landscape, along with the detailed financial and product contributions of the key players operating in the market.

The software segment dominated the global artificial intelligence in the agriculture market in 2018 and is anticipated to maintain its dominance in market size throughout the forecast period (2019-2024) with hardware and AI-as-a-Service experiencing higher growth rates.

The global artificial intelligence in the agriculture market (on the basis of farming type) is segmented into field farming, livestock farming, indoor farming, and other farming types such as aquaculture.

The global artificial intelligence in the agriculture market (on the basis of application) is segmented into crop protection, weather forecasting, precision farming, farm machinery automation, crop growth assessment, and other applications under the category crop, fruit, and vegetable farming.

For more information about this report visit

32 Artificial Intelligence Companies Building a Smarter Tomorrow

From Google and Amazon to Apple and Microsoft, every major tech company is dedicating resources to breakthroughs in artificial intelligence.

Meanwhile, revolutionary breakthroughs like self-driving cars may not be the norm, but are certainly within reach.  As the big guys scramble to infuse their products with artificial intelligence, other companies are hard at work developing their own intelligent technology and services.

By highlighting only the most relevant and interesting information, businesses can make quicker decisions regardless of the staff's experience with data or analytics.

RELATED ARTICLES20 examples of artificial intelligence shaking up business as usual How AI is changing the banking and finance industries The robots will see you now: How artificial intelligence is revolutionizing healthcare  

Industry: Fintech Location: New York, New York What it does: AlphaSense is an AI-powered search engine designed to help investment firms, banks and Fortune 500 companies find important information within transcripts, filings, news and research. The technology uses artificial intelligence to expand keyword searches for relevant content.

Using non-invasive blood tests, the company’s AI technology recognizes disease-associated patterns, providing earlier cancer detection and better treatment options.

Its LiDAR technology focuses on the most important information in a vehicle’s sightline such as people, other cars and animals, while putting less emphasis on things like the sky, buildings and surrounding vegetation.

By fusing problem solving, learning and memory technologies together, the company can build systems that learn and adapt without human assistance.

Called CARA A.I., the company's tech can search within the language, jurisdiction and citations of a user's uploaded documents and return relevant searches from the database.

Industry: Cloud, Robotics Location: Santa Clara, California What it does: CloudMinds provides cloud robot services for the finance, healthcare, manufacturing, power utilities, public sector and enterprise mobility industries.

Its cloud-based AI uses advanced algorithms, large-scale neural networks and training data to make smarter robots for image and object recognition, natural language processing, speech recognition and more.

The company's 'human-in-the-loop' platform uses human intelligence to train and test machine learning, and has powered AI projects for major companies like Oracle, Ebay SAP and Adobe.

From financial and insurance needs to travel and healthcare, the intelligent products perform duties and answer questions for tech support, billing, scheduling, purchases and policy information.

Industry: Big Data, Software Location: Mountain View, California What it does: Orbital Insight uses geospatial imagery and artificial intelligence to answer questions and gain insights invisible to the naked eye. Using data from satellites, drones, balloons and other aircrafts, the company can provide insights and forecasts to the agriculture and energy industries that normally wouldn’t be available.

Industry: Software Location: San Francisco, California What it does: OpenAI is a nonprofit research company with a mission to create safe artificial general intelligence (AGI). AGI aims to create machines with general purpose intelligence similar to human beings. With a focus on long-term research and transparency, OpenAI hopes to advance AGI safely and responsibly.

Sift uses thousands of data points from around the web to train in detecting fraud patterns. The technology helps payment processors, marketplaces, e-commerce stores and even social networks prevent fraud.

Industry: Software, Healthtech Location: Berkeley, California (US office) What it does: Zebra Medical Vision develops technology for radiology and medical imaging, enhancing the diagnostic abilities of radiologists while maximizing focus on patient care.

These algorithms will ultimately help medical professionals detect high-risk patients earlier and manage growing workloads with more accurate outcomes.

Spanning the agriculture, pharmaceutical and chemical industry, the company enables faster cultivation of microbes through automation software and a huge catalog of physical and digital DNA data.

The 2019 AI Index report is here!

The report aggregates a diverse set of metrics, and makes the underlying data easily accessible to the general public.  The 2019 edition tracks three times as many data sets as the 2018 edition.

Specifically, we dive into event attendance, summaries of conference topics, and policy milestones achieved.  Tracks technical progress in tasks across Computer Vision (Images, Videos, and Image+Language), Natural Language, potential limitations (Omniglot Challenge), and trends in computational capabilities.

We also examine efforts to integrate ethics into computer science curricula and look at global trends in undergraduate enrollment in introductory ML and AI courses.  Analyzes data around autonomous vehicles (AV’s) and autonomous weapons (AW’s).

We highlight countries and cities testing AV’s and present known types of autonomous weapon deployments.  Covers public perception of central banks, global governments, and the corporate world.

The Global AI Vibrancy Tool, as mentioned above, covers 28 countries across 34 metrics grouped into three high-level dimensions of AI starting in 2015: research and development, economy, and inclusion.

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