Description:-
The AI market is entering a dynamic phase of growth where adoption in the enterprise sector continues unabated, but there are questions emerging within research and academic circles about whether the technologies fueling the AI revolution, particularly deep learning, might be hitting a bottleneck. The recent controversy surrounding Facebook and data privacy, AI safety and explainability with Uber’s self-driving car fatality, or questions about authenticity and the power of generative algorithms to create fake images and video, are all issues that highlight the risks and challenges facing AI in 2018. The challenges are to be expected as we move from a hype phase into a reality phase as part of the cycle of AI market development. Tractica sees these challenges as part of the maturity curve for AI, where the next few years will see a sobering of expectations, while the momentum around use cases and applications continues to build.
Scope of the Report:
This growth is evidenced in Tractica’s most recent update to the firm’s AI market forecasts model, which is built upon a taxonomy of 294 real-world use cases for AI, distributed across 30 different industry sectors. Compared to 6 months ago, Tractica sees continued growth in use cases, adding 28 new use cases in this iteration of the model. Telecommunications, consumer (internet services), advertising, healthcare, automotive, and retail are some of the big industry verticals that will lead in AI adoption.
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The global Artificial Intelligence market is valued at xx million USD in 2017 and is expected to reach xx million USD by the end of 2023, growing at a CAGR of xx% between 2017 and 2023.
The Asia-Pacific will occupy for more market share in following years, especially in China, also fast growing India and Southeast Asia regions.
North America, especially The United States, will still play an important role which cannot be ignored. Any changes from United States might affect the development trend of Artificial Intelligence.
Europe also play important roles in global market, with market size of xx million USD in 2017 and will be xx million USD in 2023, with a CAGR of xx%.
This report studies the Artificial Intelligence market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; this report analyzes the top players in global market, and splits the Artificial Intelligence market by product type and applications/end industries.
Market Segment by Companies, this report covers
Bitcoin Blockchain
Ethereum
Blockchain Technologies
Factom
Chain
IBM
Microsoft
ConsenSys
Earn
Filament
Slock.IT
Gem
Everledger
Xapo
Abra
Hyperledger Project
R3
Digital Asset Holdings
Ripple
Visa
Barclays
Overstock
Additional Industry Participants
Market Segment by Regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia and Italy)
Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
South America (Brazil, Argentina, Colombia)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
Market Segment by Type, covers
AI Technologies
Machine Learning
Deep Learning
Computer Vision
Natural Language Processing
Machine Reasoning
Strong AI
Market Segment by Applications, can be divided into
Telecommunications
Internet Services
Advertising
Healthcare
Automotive
Retail
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Table Of Contents – Major Key Points
1 Artificial Intelligence Market Overview
1.1 Product Overview and Scope of Artificial Intelligence
1.2 Classification of Artificial Intelligence by Types
1.2.1 Global Artificial Intelligence Revenue Comparison by Types (2017-2023)
1.2.2 Global Artificial Intelligence Revenue Market Share by Types in 2017
1.2.3 AI Technologies
1.2.4 Machine Learning
1.2.5 Deep Learning
1.2.6 Computer Vision
1.2.7 Natural Language Processing
1.2.8 Machine Reasoning
1.2.9 Strong AI
1.3 Global Artificial Intelligence Market by Application
1.3.1 Global Artificial Intelligence Market Size and Market Share Comparison by Applications (2013-2023)
1.3.2 Telecommunications
1.3.3 Internet Services
1.3.4 Advertising
1.3.5 Healthcare
1.3.6 Automotive
1.3.7 Retail
1.4 Global Artificial Intelligence Market by Regions
1.4.1 Global Artificial Intelligence Market Size (Million USD) Comparison by Regions (2013-2023)
1.4.1 North America (USA, Canada and Mexico) Artificial Intelligence Status and Prospect (2013-2023)
1.4.2 Europe (Germany, France, UK, Russia and Italy) Artificial Intelligence Status and Prospect (2013-2023)
1.4.3 Asia-Pacific (China, Japan, Korea, India and Southeast Asia) Artificial Intelligence Status and Prospect (2013-2023)
1.4.4 South America (Brazil, Argentina, Colombia) Artificial Intelligence Status and Prospect (2013-2023)
1.4.5 Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa) Artificial Intelligence Status and Prospect (2013-2023)
1.5 Global Market Size of Artificial Intelligence (2013-2023)
2 Manufacturers Profiles
2.1 Bitcoin Blockchain
2.1.1 Business Overview
2.1.2 Artificial Intelligence Type and Applications
2.1.2.1 Product A
2.1.2.2 Product B
2.1.3 Bitcoin Blockchain Artificial Intelligence Revenue, Gross Margin and Market Share (2016-2017)
2.2 Ethereum
2.2.1 Business Overview
2.2.2 Artificial Intelligence Type and Applications
2.2.2.1 Product A
2.2.2.2 Product B
2.2.3 Ethereum Artificial Intelligence Revenue, Gross Margin and Market Share (2016-2017)
2.3 Blockchain Technologies
2.3.1 Business Overview
2.3.2 Artificial Intelligence Type and Applications
2.3.2.1 Product A
2.3.2.2 Product B
2.3.3 Blockchain Technologies Artificial Intelligence Revenue, Gross Margin and Market Share (2016-2017)
2.4 Factom
2.4.1 Business Overview
2.4.2 Artificial Intelligence Type and Applications
2.4.2.1 Product A
2.4.2.2 Product B
2.4.3 Factom Artificial Intelligence Revenue, Gross Margin and Market Share (2016-2017)
2.5 Chain
2.5.1 Business Overview
2.5.2 Artificial Intelligence Type and Applications
2.5.2.1 Product A
2.5.2.2 Product B
2.5.3 Chain Artificial Intelligence Revenue, Gross Margin and Market Share (2016-2017)
2.6 IBM
2.6.1 Business Overview
2.6.2 Artificial Intelligence Type and Applications
2.6.2.1 Product A
2.6.2.2 Product B
2.6.3 IBM Artificial Intelligence Revenue, Gross Margin and Market Share (2016-2017)
2.7 Microsoft
2.7.1 Business Overview
2.7.2 Artificial Intelligence Type and Applications
2.7.2.1 Product A
2.7.2.2 Product B
2.7.3 Microsoft Artificial Intelligence Revenue, Gross Margin and Market Share (2016-2017)
Continued……
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