Artificial Intelligence Industry 2017- By Plan Future Business Decisions Using the Forecast Technology 2024

Artificial Intelligence Market 2017 - Entry Exit of Key Players, Identify Opportunities and Challenges

PUNE, INDIA, November 9, 2017 /EINPresswire.com/ -- Global Artificial Intelligence (AI) Market Outlook
Market Overview
In the era of digitalization and rapidly changing technology, Artificial intelligence technology is one the fastest evolving technology across the globe. Artificial intelligence technology deals with the study and development of intelligence of machines and software. Further this technology has vast applications in various sectors like healthcare and manufacturing. Artificial intelligence has potential to lift various industries by reducing the human effort and increasing productivity. The AI technology will transform the functionality of various sectors such as agriculture, Industrial, BFSI, Healthcare among others by providing ease to consumers and the users. Artificial intelligence consists of various technologies such as natural language processing, quarrying, deep learning etc which can be implemented in various applications. AI technologies increase the efficiency of organization and complete tasks efficiently on the back of systematic inputs in the system. AI software can be used in various cases such image recognition, algorithm pattern, big data management and many more. Business service applications and consumer products based on artificial intelligence expected to exhibit positive impact on AI market.

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Key Players
• IBM
 Synopsis
 Financial Analysis
 Business Strategy
 Product Portfolio
 SWOT Analysis
• Microsoft
• Google
• Apple
• Intel
• Amazon
• Anki
• AI Brain
• Iris AI

Market Segmentation
Our in-depth analysis segmented the Global Artificial Intelligence (AI) Market in the following segments:
By Technology
• Deep Learning
• Robotics
• Digital Personal Assistant
• Querying Method
• Natural Language Processing
• Context-Aware Processing
By Product
• Software
• Hardware
By Services
• Installation
• Training
• Support and Maintenance
By End-User Application
• Banking, Financial Services & Insurance (BFSI)
• Wealth Management
• Fraud Detection
• Robot-integrated Manufacturing Systems
• Automated Virtual Assistants
• Manufacturing
• Retail
• Transportation & Automotive
• Healthcare
• Health Assistance
• Research And Development
• Autonomous Guided Vehicles
• Product Recommendation
• Automated In-store Robot

Growth Drivers and challenges
Digitization across the globe up surged the demand for artificial intelligence. Every sector including healthcare, banking, agriculture, education and other are shifting towards digitization. Developing economies around the world are adopting smart technologies to increase the efficiency of their business which further helps to gain profitability. The shift of enterprises towards innovative and smart technology products is directly opens the door for artificial intelligence market globally. The adoption of artificial intelligence in corporate enterprises to interpret the data and to read the algorithm pattern with less time consuming methods is expected to boost the demand for artificial intelligence in these sectors. Moreover, penetration of virtual assistance or chatbots for customer assistance in various end-use industries such as banking, e-commerce and others are propelling the demand for artificial intelligence based software. The ease of operating business processes along with cost-containment is the major reason behind the growth of artificial intelligence in end-use industries. In addition to this, increasing demand for smart conversational virtual assistants and speech to speech translation is expected to bolster the growth of artificial intelligence (AI) market globally.

Key Market Players
• Synopsis
• Business Strategy
• Product Portfolio
• SWOT Analysis

Porter’s Five Force Model
Market Landscape: Competition and Beyond
Market outlook for business players and entry level players to ascertain their business in dynamic ecosystem
Expert Analysis
Concluding Remarks
…Continued

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