At present, the artificial intelligence industry enterprises have begun the process of globalization. Overall, the US artificial intelligence companies are still ranked first in the world, while the UK is closely followed, ranking second.
Year-end summary: In 2016, the global artificial intelligence industry investment and financing profile entered 2016, the mobile Internet demographic dividend began to thin, and the industry development gradually appeared bottlenecks. In this context, the emergence of artificial intelligence has become the “new darling of the industryâ€. Entrepreneurs and investors have regarded artificial intelligence as a key element to innovate the industry, improve the efficiency of industry operations and stimulate innovation. Artificial intelligence It seems to be more in-depth into the public's vision and daily life than ever before. At the intersection of this new and old technological revolution, the development of artificial intelligence technology this year is also particularly interesting. In which application industry and regions will the future artificial intelligence technology shine? Which institutions are the most active?
Global & China investment profile <br> <br> current artificial intelligence industry enterprises have begun the layout of the process of globalization. Overall, the US artificial intelligence companies are still ranked first in the world, while the UK is closely followed, ranking second.
In Wuzhen Think Tank and Netease Technology released the "Wuzhen Index: Global Artificial Intelligence Development Report 2016", we can see that the total number of artificial intelligence enterprises in the United States is 2,905, ranking first in the world. In California alone, the number of companies in the San Francisco/Bay Area and the Greater Los Angeles area reached 1,155, accounting for 19.13% of the world. Although the number of artificial intelligence enterprises in China is less than that of the United States, the North and Shenzhen cities account for 7.4% of the global total, but they rank among the top three in East Asia and rank third, sixth and eighth in the world.
With regard to the status of enterprise acquisition projects in the artificial intelligence industry in the past decade, it can be seen that as of 2016, the number of corporate acquisitions in this field has reached the maximum in recent years, and artificial intelligence has increasingly attracted the attention of large enterprises. .
From CBInsight's statistics on US artificial intelligence financing transactions, we can see that the amount of financing for artificial intelligence startups has increased by almost 10 times in the past four years. According to the VentureCapital survey, as of November 2016, the total amount of financing for 13 categories and 1,485 companies related to artificial intelligence technology across the globe reached $8.9 billion.
Here, VentureScanner breaks down the artificial intelligence industry into 13 categories, including:
Computer vision / image recognition (application)
Enterprises in this category are mainly subordinate to the vertical segmentation industry of various industries. They use image processing technology to apply to various specific practical applications, such as face recognition, image recognition, image retrieval and so on. Of the 176 companies surveyed by VentureScanner, this category raised $644 million.
Computer vision/image recognition (platform)
This type of enterprise mainly provides underlying support technology solutions for analyzing image acquisition and identification related information, such as the construction of image search platforms. Of the 166 companies that are counted by VentureScanner, this category has financing amounts of $799 million.
Deep learning / machine learning (application)
This type of enterprise primarily learns and manipulates existing information for use in a particular domain by leveraging specific learning algorithms. Of the 166 companies that are counted by VentureScanner, this category has a financing amount of $3.6 billion.
Deep learning / machine learning (platform)
This type of enterprise focuses on algorithm development research and aims to achieve learning from existing data, including building data models for forecasting, analyzing behavioral data, and so on. Among the 180 companies counted by VentureScanner, this category has a financing amount of $1 billion.
Natural language processing This type of company develops and builds algorithms primarily for processing human language input and transforming it into a variety of other forms of expression, such as two-way conversion of speech and text. Of the 232 companies that are counted by VentureScanner, this category has a financing amount of $1.1 billion.
Year-end summary: In 2016, the global artificial intelligence industry investment and financing profile entered 2016, the mobile Internet demographic dividend began to thin, and the industry development gradually appeared bottlenecks. In this context, the emergence of artificial intelligence has become the “new darling of the industryâ€. Entrepreneurs and investors have regarded artificial intelligence as a key element to innovate the industry, improve the efficiency of industry operations and stimulate innovation. Artificial intelligence It seems to be more in-depth into the public's vision and daily life than ever before. At the intersection of this new and old technological revolution, the development of artificial intelligence technology this year is also particularly interesting. In which application industry and regions will the future artificial intelligence technology shine? Which institutions are the most active?
Global & China investment profile <br> <br> current artificial intelligence industry enterprises have begun the layout of the process of globalization. Overall, the US artificial intelligence companies are still ranked first in the world, while the UK is closely followed, ranking second.
In Wuzhen Think Tank and Netease Technology released the "Wuzhen Index: Global Artificial Intelligence Development Report 2016", we can see that the total number of artificial intelligence enterprises in the United States is 2,905, ranking first in the world. In California alone, the number of companies in the San Francisco/Bay Area and the Greater Los Angeles area reached 1,155, accounting for 19.13% of the world. Although the number of artificial intelligence enterprises in China is less than that of the United States, the North and Shenzhen cities account for 7.4% of the global total, but they rank among the top three in East Asia and rank third, sixth and eighth in the world.
With regard to the status of enterprise acquisition projects in the artificial intelligence industry in the past decade, it can be seen that as of 2016, the number of corporate acquisitions in this field has reached the maximum in recent years, and artificial intelligence has increasingly attracted the attention of large enterprises. .
From CBInsight's statistics on US artificial intelligence financing transactions, we can see that the amount of financing for artificial intelligence startups has increased by almost 10 times in the past four years. According to the VentureCapital survey, as of November 2016, the total amount of financing for 13 categories and 1,485 companies related to artificial intelligence technology across the globe reached $8.9 billion.
Here, VentureScanner breaks down the artificial intelligence industry into 13 categories, including:
Computer vision / image recognition (application)
Enterprises in this category are mainly subordinate to the vertical segmentation industry of various industries. They use image processing technology to apply to various specific practical applications, such as face recognition, image recognition, image retrieval and so on. Of the 176 companies surveyed by VentureScanner, this category raised $644 million.
Computer vision/image recognition (platform)
This type of enterprise mainly provides underlying support technology solutions for analyzing image acquisition and identification related information, such as the construction of image search platforms. Of the 166 companies that are counted by VentureScanner, this category has financing amounts of $799 million.
Deep learning / machine learning (application)
This type of enterprise primarily learns and manipulates existing information for use in a particular domain by leveraging specific learning algorithms. Of the 166 companies that are counted by VentureScanner, this category has a financing amount of $3.6 billion.
Deep learning / machine learning (platform)
This type of enterprise focuses on algorithm development research and aims to achieve learning from existing data, including building data models for forecasting, analyzing behavioral data, and so on. Among the 180 companies counted by VentureScanner, this category has a financing amount of $1 billion.
Natural language processing This type of company develops and builds algorithms primarily for processing human language input and transforming it into a variety of other forms of expression, such as two-way conversion of speech and text. Of the 232 companies that are counted by VentureScanner, this category has a financing amount of $1.1 billion.
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