Global Artificial Intelligence Industry Whitepaper

The Report

"Global Artificial Intelligence Industry Whitepaper” is compiled by Deloitte Technology, Media and Telecommunications Industry. This paper mainly outlines the application of AI technology in major cities around the world, and the profound changes it will bring to various industries including finance, education, digital government, health care, autonomous driving, retail, manufacturing, and smart city when it enters the stage of commercialization.

Viewpoints / key findings

  1. The commercialization of AI is playing a positive role in accelerating business digitalization, improving industry chain structures and enhancing information use efficiency.
  2. AI has entered an age of machine learning, and the future of AI development will depend on the integration of key technologies and industries.
  3. AI investment is returning to reason, with underlying technologies and easy-to-deploy applications more favored by AI leading institutions. The Internet giant has also begun to strategically deploy in the artificial intelligence business related industry.
  4. As a new industry in the future, AI enterprises show the characteristics of high growth rate. China's AI industry has developed rapidly with the strong support of funds and policies, and some key technologies have been at the forefront of the world. According to the incomplete public information, Deloitte sorted out 50 AI enterprises with high growth rate (attached). Among them, the Chinese enterprises in the fields of education, business intelligence and face recognition, represented by "Squirrel AI", "Bytedance" and "CloudWalk", grew at a rate of over 5000%, 700% and 600%.
  5. Cities are the vehicle that carries the innovation, integration and application of AI technologies, and also the center where humans build up full sense of AI technological experience.
  6. Policies and capital are driving Beijing-Tianjin-Hebei region, Yangtze River Delta and Pearl River Delta to be regions with the most AI companies, with Beijing and Shanghai taking the lead. First tier cities represented by Shanghai and Beijing have long been leading in terms of the number of talents and enterprises, capital environment and R&D strengths.
  7. Artificial intelligence is reshaping various industries and triggering profound social changes:
  • AI is driving the financial industry to build a broader high-performing ecosystem with enhanced business efficiency for financial enterprises and transformed enterprise process of internal operation.
  • As application of AI in education further deepens, application scenarios are shifting to cover full process of teaching.
  • Digital government is mainly driven from top down achieve digitalization goals of government processes to accelerate intelligent transformation of the government.
  • The auto industry dominated by autonomous driving will see a transformation of its industry chain. The production, channels and sales models of traditional auto makers will be replaced by emerging business models.
  • The potential of AI application in manufacturing have been underestimated, and quality data resources are not fully utilized.
  • Application scenarios in retail have developed from separation to convergence, and traditional retailers are partnering with startups to build scenarios around human, goods, stores and supply chains.
  • AI applications in healthcare sector are growing rapidly, but the sector needs to establish standardized mechanisms of market entry for AI products and speed up the construction of healthcare data base.

Attached list: Global AI enterprises with high growth

Ranking Company name Country Growth rate Segmentation
1 Shape Security U.S.A ~23000%** Business Services
2 BrainChip U.S.A ~16000%** Chip
3 Razorpay Software  India ~11000%** Finance
4 BioCatch Israel ~10000%** Finance
5 Signifyd U.S.A ~6000%** Business Services
6 Squirrel AI China ~5000%* Education
7 UiPath U.S.A ~4000%** Robotics
8 Remark Holdings, Inc. U.S.A ~3700%** Data Services
9 Domino Data Lab U.S.A ~3200%** Finance
10 Voltari U.S.A ~3000%**  Advertisement
11 Mujin Inc  Japan ~1200%* Industrial
12 Vectra AI U.S.A ~1000%** Security
13 DataRobot U.S.A ~900% Deep Learning
14 Bytedance China ~700%* Business Intelligent
15 Pinduoduo China ~650% Retail
16 Cloudwalk China ~600%* Facial Recognition
17 Welltok U.S.A ~500%** Healthcare
18 Tesla U.S.A ~430%** Autonomous Driving
19 SenseTime China ~400% Computer Vision
20 BounceX U.S.A ~400%* Marketing
21 CrowdStrike U.S.A ~374%* Network Security
22 Alteryx U.S.A ~370%** Data Mining
23 SequoiaDB China ~363%* Finance
24 Avant U.S.A ~360%** Finance
25 Cloudera, Inc. U.S.A ~350%** Data Services
26 JiaHe Info China ~330%* Aguriculture
27 GumGum U.S.A ~310%** Computer Vision
28 Blue Prism UK ~304%* Robotics
29 Unisound China ~300% Speech Recognition
30 SparkCognition U.S.A ~260%** Network Security
31 SmartDrive Systems U.S.A ~250%** Autonomous Driving
32 HireVue U.S.A ~250%** Business Services
33 Alibaba Group China ~225%** Comprehensive
34 Iflytek Co.Ltd China ~223%** Speech Recognition
35 Facebook  U.S.A ~210%** Comprehensive
36 Uber U.S.A ~193%* Autonomous Driving
38 Splunk U.S.A ~190%** Business Analysis
37 MEGVII China ~190% Computer Vision
39 BYJU'S India ~184% Education
40 ZeMoSo Technologies Pvt Ltd  India ~170%* Comprehensive
41 XiaoMi China ~162%** IoT
42 Conversica U.S.A ~150%** Marketing
43 9FGROUP China ~140%* Finance
44 Amazon U.S.A ~110%** Comprehensive
45 NVIDIA U.S.A ~107%** Chip
46 Globant U.S.A ~106%** Data Services
47 Salesforce U.S.A ~90%** Cloud computing
48 Alphabet U.S.A ~80%** Comprehensive
49 Ant Financial China ~60% Finance
50 Domo U.S.A ~40% Business Intelligent
Note:  In the table, “~” is the estimated range; the growth rate is based on three years **, and in the absence of three years ** data, it is based on two years * and in the absence of two years * data, it is based on the year-on-year growth rate; the data are incomplete statistics, which are derived from published public data and private databases, and do not guarantee the accuracy and timeliness of the data.

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