The global mobile artificial intelligence (AI) market size is expected to reach $84.80 billion by 2030 from $8.56 billion in 2020, growing at a CAGR of 26.44% from 2021 to 2030.
Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems with the ability to copy intelligent behavior and make autonomous decisions. This technology is a branch of computer science in which computers are capable of performing tasks that typically require human intelligence; such as, situational or environmental analysis, problem-solving, reasoning, learning, and comprehending language. The expansion of AI technology has allowed mobile users to reposition the value benchmark of existing user experience altogether. By incorporating AI technologies, an increasing number of mobile apps are also taking advantage of intelligent automation for different tasks. AI-based chatbots are widely being used by focused consumer brands in their apps to provide faster customer support and service.
The global mobile artificial intelligence (AI) market size is anticipated to witness significant growth during the forecast period. Factors, such as high demand for Artificial Intelligence in smartphones, increase in demand for AI-capable processors, and rise in investment in artificial intelligence (AI) technologies drive the mobile artificial intelligence (AI) market growth. However, high pricing of artificial processors is a major restraint to the global mobile artificial intelligence (AI) market growth. In addition, the emergence of edge computing is expected to create opportunities for the mobile artificial intelligence (AI) industry.
The global mobile artificial intelligence (AI) market is segmented on the basis of technology node, component, application, and region. By technology node, the market is bifurcated into 20-28nm, 10nm, 7nm, and others. By component, it is divided into hardware, software, and services. On the basis of hardware, the market is sub-segmented into processor, memory, sensor, others. Depending on application, it is separated into smartphones, cameras, drones, automotive, robotics, AR/VR, and others.
Region-wise, the mobile artificial intelligence (AI) market trends are analyzed across North America (U.S., Canada, and Mexico), Europe (Germany, UK, France, Italy, and Rest of Europe), Asia-Pacific (China, Japan, India, South Korea, Taiwan, and Rest of Asia-Pacific), and LAMEA (Latin America, the Middle East, and Africa). North America region is projected to have the most significant increase in demand, as it provides a suitable environment for startups and SMEs, in terms of government regulations and compliance.
The key players profiles of the mobile artificial intelligence (AI) market players, such as NVIDIA Corporation (U.S.), Intel Corporation (U.S.), Microsoft Corporation (U.S.), IBM Corporation (U.S.), Qualcomm Inc. (U.S.), Apple Inc. (U.S.), Google (U.S.), Samsung Electronics (South Korea), MediaTek Inc. (Taiwan), and Huawei Technologies (China) are focusing their investment on technologically advanced, cost-effective, and more secure products and solutions for various applications.
Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems with the ability to copy intelligent behavior and make autonomous decisions. This technology is a branch of computer science in which computers are capable of performing tasks that typically require human intelligence; such as, situational or environmental analysis, problem-solving, reasoning, learning, and comprehending language. The expansion of AI technology has allowed mobile users to reposition the value benchmark of existing user experience altogether. By incorporating AI technologies, an increasing number of mobile apps are also taking advantage of intelligent automation for different tasks. AI-based chatbots are widely being used by focused consumer brands in their apps to provide faster customer support and service.
The global mobile artificial intelligence (AI) market size is anticipated to witness significant growth during the forecast period. Factors, such as high demand for Artificial Intelligence in smartphones, increase in demand for AI-capable processors, and rise in investment in artificial intelligence (AI) technologies drive the mobile artificial intelligence (AI) market growth. However, high pricing of artificial processors is a major restraint to the global mobile artificial intelligence (AI) market growth. In addition, the emergence of edge computing is expected to create opportunities for the mobile artificial intelligence (AI) industry.
The global mobile artificial intelligence (AI) market is segmented on the basis of technology node, component, application, and region. By technology node, the market is bifurcated into 20-28nm, 10nm, 7nm, and others. By component, it is divided into hardware, software, and services. On the basis of hardware, the market is sub-segmented into processor, memory, sensor, others. Depending on application, it is separated into smartphones, cameras, drones, automotive, robotics, AR/VR, and others.
Region-wise, the mobile artificial intelligence (AI) market trends are analyzed across North America (U.S., Canada, and Mexico), Europe (Germany, UK, France, Italy, and Rest of Europe), Asia-Pacific (China, Japan, India, South Korea, Taiwan, and Rest of Asia-Pacific), and LAMEA (Latin America, the Middle East, and Africa). North America region is projected to have the most significant increase in demand, as it provides a suitable environment for startups and SMEs, in terms of government regulations and compliance.
The key players profiles of the mobile artificial intelligence (AI) market players, such as NVIDIA Corporation (U.S.), Intel Corporation (U.S.), Microsoft Corporation (U.S.), IBM Corporation (U.S.), Qualcomm Inc. (U.S.), Apple Inc. (U.S.), Google (U.S.), Samsung Electronics (South Korea), MediaTek Inc. (Taiwan), and Huawei Technologies (China) are focusing their investment on technologically advanced, cost-effective, and more secure products and solutions for various applications.
KEY MARKET SEGMENTS
BY TECHNOLOGY NODE
- 20-28nm
- 10nm
- 7nm
- Others
BY COMPONENT
- Hardware
- Processor
- Memory
- Sensor
- Others
- Software
- Services
BY APPLICATION
- Smartphones
- Cameras
- Drones
- Automotive
- Robotics
- AR/VR
- Others
BY REGION
- North America
- U.S.
- Canada
- Mexico
- Europe
- UK
- Germany
- France
- Italy
- Rest of Europe
- Asia-Pacific
- China
- Japan
- India
- South Korea
- Taiwan
- Rest of Asia-Pacific
- LAMEA
- Latin America
- Middle East
- Africa
KEY PLAYERS
- Apple Inc.
- NVIDIA Corporation
- Intel Corporation
- Microsoft Corporation
- IBM Corporation
- Qualcomm Inc.
- Samsung Electronics
- Huawei Technology
- MediaTek Inc.
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Table of Contents
CHAPTER 1: INTRODUCTION'1.1. Report description1.2. Key benefits for stakeholders
1.3. Key market segments
1.4. Research methodology
1.4.1. Primary research
1.4.2. Secondary research
1.4.3. Analyst tools and models
CHAPTER 2: EXECUTIVE SUMMARY2.1. Key findings
2.1.1. Top impacting factors
2.1.2. Top investment pockets
2.2. CXO perspective
CHAPTER 3: MARKET OVERVIEW3.1. Market definition and scope
3.2. Key forces shaping the Mobile AI
3.3. Patent analysis
3.3.1. By region, 2012-2020
3.3.2. By applicant, 2012-2020
3.4. Covid-19 impact analysis
3.4.1. COVID-19 outbreak
3.4.2. Impact on market size
3.4.3. End user trends, preferences, and budget impact
3.5. Market dynamics
3.5.1. Drivers
3.5.1.1. High demand for Artificial Intelligence in smartphones
3.6.3.1. Growing demand for AI-capable processors
3.5.1.2. Rising investment in Artificial Intelligence (AI) technologies
3.5.2. Restraint
3.5.2.1. High pricing of artificial processors
3.5.3. Opportunity
3.5.3.1. The emergence of edge computing
CHAPTER 4: MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET , BY TECHNOLOGY NODE4.1. Overview
4.2.20-28nm
4.2.1. Key market trends, growth factors, and opportunities
4.2.2. Market size and forecast, by region
4.2.3. Market analysis, by country
4.3.10nm
4.3.1. Key market trends, growth factors, and opportunities
4.3.2. Market size and forecast, by region
4.3.3. Market analysis, by country
4.4.7nm
4.4.1. Key market trends, growth factors, and opportunities
4.4.2. Market size and forecast, by region
4.4.3. Market analysis, by country
4.5. Others
4.5.1. Key market trends, growth factors, and opportunities
4.5.2. Market size and forecast, by region
4.5.3. Market analysis, by country
CHAPTER 5: MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY COMPONENT5.1. Overview
5.2. Hardware
5.2.1. Processors
5.2.1.1. Central processing unit (CPU)
5.2.1.2. Graphics processing unit (GPU)
5.2.1.3. Field-programmable gate array (FPGA)
5.2.1.4. Application-specific integrated circuit (ASIC)
5.2.1.5. Tensor processing unit (TPU)
5.2.2. Memory
5.2.3. Sensors
5.2.4. Others
5.2.5. Key market trends, growth factors, and opportunities
5.2.6. Market size and forecast, by region
5.2.7. Market analysis, by country
5.3. Software
5.3.1. Key market trends, growth factors, and opportunities
5.3.2. Market size and forecast, by region
5.3.3. Market analysis, by country
5.4. Services
5.4.1. Key market trends, growth factors, and opportunities
5.4.2. Market size and forecast, by region
5.4.3. Market analysis, by country
CHAPTER 6: MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY APPLICATION6.1. Overview
6.2. Smartphones
6.2.1. Key market trends, growth factors, and opportunities
6.2.2. Market size and forecast, by region
6.2.3. Market analysis, by country
6.3. Cameras
6.3.1. Key market trends, growth factors, and opportunities
6.3.2. Market size and forecast, by region
6.3.3. Market analysis, by country
6.4. Drones
6.4.1. Key market trends, growth factors, and opportunities
6.4.2. Market size and forecast, by region
6.4.3. Market analysis, by country
6.5. Automotive
6.5.1. Key market trends, growth factors, and opportunities
6.5.2. Market size and forecast, by region
6.5.3. Market analysis, by country
6.6. Robotics
6.6.1. Key market trends, growth factors, and opportunities
6.6.2. Market size and forecast, by region
6.6.3. Market analysis, by country
6.7. AR/ VR
6.7.1. Key market trends, growth factors, and opportunities
6.7.2. Market size and forecast, by region
6.7.3. Market analysis, by country
6.8. Others
6.8.1. Key market trends, growth factors, and opportunities
6.8.2. Market size and forecast, by region
6.8.3. Market analysis, by country
CHAPTER 7: MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY REGION7.1. Overview
7.2. North America
7.2.1. Key market trends, growth factors, and opportunities
7.2.2. Market size and forecast, by technology node
7.2.3. Market size and forecast, by component
7.2.4. Market size and forecast, by application
7.2.5. Market analysis, by country
7.2.5.1. U.S.
7.2.5.1.1. Market size and forecast, by technology node
7.2.5.1.2. Market size and forecast, by Component
7.2.5.1.3. Market size and forecast, by application
7.2.5.2. Canada
7.2.5.2.1. Market size and forecast, by technology node
7.2.5.2.2. Market size and forecast, by Component
7.2.5.2.3. Market size and forecast, by application
7.2.5.3. Mexico
7.2.5.3.1. Market size and forecast, by technology node
7.2.5.3.2. Market size and forecast, by Component
7.2.5.3.3. Market size and forecast, by application
7.3. Europe
7.3.1. Key market trends, growth factors, and opportunities
7.3.2. Market size and forecast, by technology node
7.3.3. Market size and forecast, by component
7.3.4. Market size and forecast, by application
7.3.5. Market analysis, by country
7.3.5.1. UK
7.3.5.1.1. Market size and forecast, by technology node
7.3.5.1.2. Market size and forecast, by Component
7.3.5.1.3. Market size and forecast, by application
7.3.5.2. Germany
7.3.5.2.1. Market size and forecast, by technology node
7.3.5.2.2. Market size and forecast, by Component
7.3.5.2.3. Market size and forecast, by application
7.3.5.3. France
7.3.5.3.1. Market size and forecast, by technology node
7.3.5.3.2. Market size and forecast, by Component
7.3.5.3.3. Market size and forecast, by application
7.3.5.4. Italy
7.3.5.4.1. Market size and forecast, by technology node
7.3.5.4.2. Market size and forecast, by Component
7.3.5.4.3. Market size and forecast, by application
7.3.5.5. Rest of Europe
7.3.5.5.1. Market size and forecast, by technology node
7.3.5.5.2. Market size and forecast, by Component
7.3.5.5.3. Market size and forecast, by application
7.4. Asia-Pacific
7.4.1. Key market trends, growth factors, and opportunities
7.4.2. Market size and forecast, by technology node
7.4.3. Market size and forecast, by component
7.4.4. Market size and forecast, by application
7.4.5. Market analysis, by country
7.4.5.1. China
7.4.5.1.1. Market size and forecast, by technology node
7.4.5.1.2. Market size and forecast, by Component
7.4.5.1.3. Market size and forecast, by application
7.4.5.2. Japan
7.4.5.2.1. Market size and forecast, by technology node
7.4.5.2.2. Market size and forecast, by Component
7.4.5.2.3. Market size and forecast, by application
7.4.5.3. India
7.4.5.3.1. Market size and forecast, by technology node
7.4.5.3.2. Market size and forecast, by Component
7.4.5.3.3. Market size and forecast, by application
7.4.5.4. South Korea
7.4.5.4.1. Market size and forecast, by technology node
7.4.5.4.2. Market size and forecast, by Component
7.4.5.4.3. Market size and forecast, by application
7.4.5.5. Taiwan
7.4.5.5.1. Market size and forecast, by technology node
7.4.5.5.2. Market size and forecast, by Component
7.4.5.5.3. Market size and forecast, by application
7.4.5.6. Rest of Asia-Pacific
7.4.5.6.1. Market size and forecast, by technology node
7.4.5.6.2. Market size and forecast, by Component
7.4.5.6.3. Market size and forecast, by application
7.5. LAMEA
7.5.1. Key market trends, growth factors, and opportunities
7.5.2. Market size and forecast, by technology node
7.5.3. Market size and forecast, by component
7.5.4. Market size and forecast, by application
7.5.5. Market analysis, by country
7.5.5.1. Latin America
7.5.5.1.1. Market size and forecast, by technology node
7.5.5.1.2. Market size and forecast, by Component
7.5.5.1.3. Market size and forecast, by application
7.5.5.2. Middle East
7.5.5.2.1. Market size and forecast, by technology node
7.5.5.2.2. Market size and forecast, by Component
7.5.5.2.3. Market size and forecast, by application
7.5.5.3. Africa
7.5.5.3.1. Market size and forecast, by technology node
7.5.5.3.2. Market size and forecast, by Component
7.5.5.3.3. Market size and forecast, by application
CHAPTER 8: COMPETITIVE LANDSCAPE8.1. Introduction
8.1.1. Market player positioning, 2020
8.2. Top winning strategies
CHAPTER 9: COMPANY PROFILES9.1. Apple Inc.
9.1.1. Company overview
9.1.2. Key executives
9.1.3. Company snapshot
9.1.4. Operating business segments
9.1.5. Product portfolio
9.1.6. R&D expenditure
9.1.7. Business performance
9.1.8. Key strategic moves and developments
9.2. MICROSOFT CORPORATION
9.2.1. Company overview
9.2.2. Key executives
9.2.3. Company snapshot
9.2.4. Operating business segments
9.2.5. Product portfolio
9.2.6. R&D expenditure
9.2.7. Business performance
9.2.8. Key strategic moves and developments
9.3. INTEL CORPORATION
9.3.1. Company overview
9.3.2. Key executives
9.3.3. Company snapshot
9.3.4. Operating business segments
9.3.5. Product portfolio
9.3.6. R&D expenditure
9.3.7. Business performance
9.3.8. Key strategic moves and developments
9.4. Google LLC (Alphabet Inc.)
9.4.1. Company overview
9.4.2. Key executives
9.4.3. Company snapshot
9.4.4. Operating business segments
9.4.5. Product portfolio
9.4.6. R&D expenditure
9.4.7. Business performance
9.4.8. Key strategic moves and developments
9.5. Huawei Technologies Co., Ltd. (Huawei)
9.5.1. Company overview
9.5.2. Key executives
9.5.3. Company snapshot
9.5.4. Operating business segments
9.5.5. Product portfolio
9.5.6. R&D Expenditure
9.5.7. Business performance
9.5.8. Key strategic moves and developments
9.6. International Business Machines Corporation (IBM)
9.6.1. Company overview
9.6.2. Key executives
9.6.3. Company snapshot
9.6.4. Operating business segments
9.6.5. Product portfolio
9.6.6. R&D expenditure
9.6.7. Business performance
9.6.8. Key strategic moves and developments
9.7. Samsung Electronics
9.7.1. Company overview
9.7.2. Key executives
9.7.3. Company snapshot
9.7.4. Operating business segments
9.7.5. Product portfolio
9.7.6. R&D expenditure
9.7.7. Business performance
9.7.8. Key strategic moves and developments
9.8. Qualcomm Technologies, Inc.
9.8.1. Company overview
9.8.2. Key Executives
9.8.3. Company snapshot
9.8.4. Operating business segments
9.8.5. Product portfolio
9.8.6. R&D expenditure
9.8.7. Business performance
9.8.8. Key strategic moves and developments
9.9. MEDIATEK, INC.
9.9.1. Company overview
9.9.2. Company snapshot
9.9.3. Product portfolio
9.9.4. Business performance
9.9.5. Key strategic moves and developments
9.10. NVIDIA CORPORATION.
9.10.1. Company overview
9.10.2. Company snapshot
9.10.3. Operating business segments
9.10.4. Product portfolio
9.10.5. R&D expenditure
9.10.6. Business performance
9.10.7. Key strategic moves and developments
List of Tables
TABLE 01. MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY TECHNOLOGY NODE, 2020-2030 ($MILLION)
TABLE 02. MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET FOR 20-28NM, BY REGION, 2020-2030 ($MILLION)
TABLE 03. MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET FOR 10NM, BY REGION, 2020-2030 ($MILLION)
TABLE 04. MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET FOR 7NM, BY REGION, 2020-2030 ($MILLION)
TABLE 05. MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET FOR OTHERS, BY REGION, 2020-2030 ($MILLION)
TABLE 06. MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 07. MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET FOR HARDWARE, BY REGION, 2020-2030 ($MILLION)
TABLE 08. MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET FOR SOFTWARE, BY REGION, 2020-2030($MILLION)
TABLE 09. MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET FOR SERVICES, BY REGION, 2020-2030($MILLION)
TABLE 10. GLOBAL MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 11. MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET FOR SMARTPHONES, BY REGION, 2020-2030 ($MILLION)
TABLE 12. MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET FOR CAMERAS, BY REGION, 2020-2030 ($MILLION)
TABLE 13. MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET FOR DRONES, BY REGION, 2020-2030 ($MILLION)
TABLE 14. MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET FOR AUTOMOTIVE, BY REGION, 2020-2030 ($MILLION)
TABLE 15. MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET FOR ROBOTICS, BY REGION, 2020-2030 ($MILLION)
TABLE 16. MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET FOR AR/VR, BY REGION, 2020-2030 ($MILLION)
TABLE 17. MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET FOR OTHERS, BY REGION, 2020-2030 ($MILLION)
TABLE 18. MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET REVENUE, BY REGION, 2020-2030 ($MILLION)
TABLE 19. NORTH AMERICA MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY TECHNOLOGY NODE, 2020-2030 ($MILLION)
TABLE 20. NORTH AMERICA MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 21. NORTH AMERICA MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 22. U.S. MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY TECHNOLOGY NODE, 2020-2030 ($MILLION)
TABLE 23. U.S. MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 24. U.S. MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 25. CANADA MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY TECHNOLOGY NODE, 2020-2030 ($MILLION)
TABLE 26. CANADA MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 27. CANADA MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 28. MEXICO MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY TECHNOLOGY NODE, 2020-2030 ($MILLION)
TABLE 29. MEXICO MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 30. MEXICO MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 31. EUROPE MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY TECHNOLOGY NODE, 2020-2030 ($MILLION)
TABLE 32. EUROPE MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 33. EUROPE MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 34. UK MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY TECHNOLOGY NODE, 2020-2030 ($MILLION)
TABLE 35. UK MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 36. UK MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 37. GERMANY MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY TECHNOLOGY NODE, 2020-2030 ($MILLION)
TABLE 38. GERMANY MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 39. GERMANY MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 40. FRANCE MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY TECHNOLOGY NODE, 2020-2030 ($MILLION)
TABLE 41. FRANCE MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 42. FRANCE MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 43. ITALY MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY TECHNOLOGY NODE, 2020-2030 ($MILLION)
TABLE 44. ITALY MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 45. ITALY MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 46. REST OF EUROPE MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY TECHNOLOGY NODE, 2020-2030 ($MILLION)
TABLE 47. REST OF EUROPE MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 48. REST OF EUROPE MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 49. ASIA-PACIFIC MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY TECHNOLOGY NODE, 2020-2030 ($MILLION)
TABLE 50. ASIA-PACIFIC MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 51. ASIA-PACIFIC MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 52. CHINA MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY TECHNOLOGY NODE, 2020-2030 ($MILLION)
TABLE 53. CHINA MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 54. CHINA MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 55. JAPAN MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY TECHNOLOGY NODE, 2020-2030 ($MILLION)
TABLE 56. JAPAN MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 57. JAPAN MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 58. INDIA MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY TECHNOLOGY NODE, 2020-2030 ($MILLION)
TABLE 59. INDIA MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 60. INDIA MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 61. SOUTH KOREA MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY TECHNOLOGY NODE, 2020-2030 ($MILLION)
TABLE 62. SOUTH KOREA MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 63. SOUTH KOREA MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 64. TAIWAN MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY TECHNOLOGY NODE, 2020-2030 ($MILLION)
TABLE 65. TAIWAN MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 66. TAIWAN MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 67. REST OF ASIA-PACIFIC MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY TECHNOLOGY NODE, 2020-2030 ($MILLION)
TABLE 68. REST OF ASIA-PACIFIC MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 69. REST OF ASIA-PACIFIC MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 70. LAMEA MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY TECHNOLOGY NODE, 2020-2030 ($MILLION)
TABLE 71. LAMEA MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 72. LAMEA MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 73. LATIN AMERICA MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY TECHNOLOGY NODE, 2020-2030 ($MILLION)
TABLE 74. LATIN AMERICA MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 75. LATIN AMERICA MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 76. MIDDLE EAST MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY TECHNOLOGY NODE, 2020-2030 ($MILLION)
TABLE 77. MIDDLE EAST MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 78. MIDDLE EAST MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 79. AFRICA MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY TECHNOLOGY NODE, 2020-2030 ($MILLION)
TABLE 80. AFRICA MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY COMPONENT, 2020-2030 ($MILLION)
TABLE 81. AFRICA MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY APPLICATION, 2020-2030 ($MILLION)
TABLE 82. APPLE INC.:KEY EXECUTIVES
TABLE 83. APPLE INC.: COMPANY SNAPSHOT
TABLE 84. APPLE INC.: OPERATING SEGMENTS
TABLE 85. APPLE INC.: PRODUCT PORTFOLIO
TABLE 86. APPLE INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 87. MICROSOFT CORPORATION: KEY EXECUTIVES
TABLE 88. MICROSOFT CORPORATION: COMPANY SNAPSHOT
TABLE 89. MICROSOFT CORPORATION: OPERATING SEGMENTS
TABLE 90. MICROSOFT CORPORATION: PRODUCT PORTFOLIO
TABLE 91. INTEL CORPORATION: KEY EXECUTIVES
TABLE 92. INTEL CORPORATION: COMPANY SNAPSHOT
TABLE 93. INTEL CORPORATION: OPERATING SEGMENTS
TABLE 94. INTEL CORPORATION: PRODUCT PORTFOLIO
TABLE 95. INTEL CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 96. GOOGLE LLC (ALPHABET INC.):KEY EXECUTIVES
TABLE 97. GOOGLE LLC (ALPHABET INC.): COMPANY SNAPSHOT
TABLE 98. GOOGLE LLC (ALPHABET INC.): OPERATING SEGMENTS
TABLE 99. GOOGLE LLC (ALPHABET INC.): PRODUCT PORTFOLIO
TABLE 100. GOOGLE LLC (ALPHABET INC.): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 101. HUAWEI TECHNOLOGIES CO., LTD.:KEY EXECUTIVES
TABLE 102. HUAWEI TECHNOLOGIES CO., LTD.: COMPANY SNAPSHOT
TABLE 103. HUAWEI TECHNOLOGIES CO., LTD.: OPERATING SEGMENTS
TABLE 104. HUAWEI TECHNOLOGIES CO., LTD.: PRODUCT PORTFOLIO
TABLE 105. HUAWEI TECHNOLOGIES CO., LTD.: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 106. INTERNATIONAL BUSINESS MANAGEMENT CORPORATION (IBM): KEY EXECUTIVES
TABLE 107. INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM): COMPANY SNAPSHOT
TABLE 108. INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM): OPERATING SEGMENTS
TABLE 109. INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM): PRODUCT PORTFOLIO
TABLE 110. INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 111. SAMSUNG ELECTRONICS:KEY EXECUTIVES
TABLE 112. SAMSUNG ELECTRONICS: COMPANY SNAPSHOT
TABLE 113. SAMSUNG ELECTRONICS: OPERATING SEGMENTS
TABLE 114. SAMSUNG ELECTRONICS: PRODUCT PORTFOLIO
TABLE 115. SAMSUNG ELECTRONICS: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 116. QUALCOMM TECHNOLOGIES, INC.:KEY EXECUTIVES
TABLE 117. QUALCOMM TECHNOLOGIES, INC.: COMPANY SNAPSHOT
TABLE 118. QUALCOMM TECHNOLOGIES, INC.: OPERATING SEGMENTS
TABLE 119. QUALCOMM TECHNOLOGIES, INC.: PRODUCT PORTFOLIO
TABLE 120. QUALCOMM TECHNOLOGIES, INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 121. MEDIATEK: COMPANY SNAPSHOT
TABLE 122. MEDIATEK: PRODUCT PORTFOLIO
TABLE 123. NVIDIA CORPORATION: COMPANY SNAPSHOT
TABLE 124. NVIDIA CORPORATION.: OPERATING SEGMENTS
TABLE 125. NVIDIA CORPORATION: PRODUCT PORTFOLIO
List of Figures
FIGURE 01. SEGMENT INFORMATION
FIGURE 02. EXECUTIVE SUMMARY
FIGURE 03. EXECUTIVE SUMMARY
FIGURE 04. TOP IMPACTING FACTORS
FIGURE 05. TOP INVESTMENT POCKETS
FIGURE 06. MODERATE TO HIGH BARGAINING POWER OF SUPPLIERS
FIGURE 07. MODERATE TO HIGH THREAT OF NEW ENTRANTS
FIGURE 08. MODERATE TO HIGH THREAT OF SUBSTITUTES
FIGURE 09. MODERATE INTENSITY OF RIVALRY
FIGURE 10. MODERATE TO HIGH BARGAINING POWER OF BUYERS
FIGURE 11. PATENT ANALYSIS, BY COUNTRY
FIGURE 12. PATENT ANALYSIS, BY APPLICANT
FIGURE 13. MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY TECHNOLOGY NODE, 2020-2030
FIGURE 14. COMPARATIVE SHARE ANALYSIS OF MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET FOR 20-28NM, BY COUNTRY, 2020 & 2030 (%)
FIGURE 15. COMPARATIVE SHARE ANALYSIS OF MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET FOR 10NM, BY COUNTRY, 2020 & 2030 (%)
FIGURE 16. COMPARATIVE SHARE ANALYSIS OF MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET FOR 7NM, BY COUNTRY, 2020 & 2030 (%)
FIGURE 17. COMPARATIVE SHARE ANALYSIS OF MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET FOR OTHERS, BY COUNTRY, 2020 & 2030 (%)
FIGURE 18. MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY COMPONENT, 2020-2030
FIGURE 19. COMPARATIVE SHARE ANALYSIS OF MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET FOR HARDWARE, BY COUNTRY, 2020 & 2030 (%)
FIGURE 20. COMPARATIVE SHARE ANALYSIS OF MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET FOR SOFTWARE, BY COUNTRY, 2020 & 2030 (%)
FIGURE 21. COMPARATIVE SHARE ANALYSIS OF MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET FOR SERVICES, BY COUNTRY, 2020 & 2030 (%)
FIGURE 22. GLOBAL MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY APPLICATION, 2020-2030
FIGURE 23. COMPARATIVE SHARE ANALYSIS OF MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET FOR SMARTPHONES, BY COUNTRY, 2020 & 2030 (%)
FIGURE 24. COMPARATIVE SHARE ANALYSIS OF MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET FOR CAMERAS, BY COUNTRY, 2020 & 2030 (%)
FIGURE 25. COMPARATIVE SHARE ANALYSIS OF MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET FOR DRONES, BY COUNTRY, 2020 & 2030 (%)
FIGURE 26. COMPARATIVE SHARE ANALYSIS OF MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET FOR AUTOMOTIVE, BY COUNTRY, 2020 & 2030 (%)
FIGURE 27. COMPARATIVE SHARE ANALYSIS OF MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET FOR ROBOTICS, BY COUNTRY, 2020 & 2030 (%)
FIGURE 28. COMPARATIVE SHARE ANALYSIS OF MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET FOR AR/ VR, BY COUNTRY, 2020 & 2030 (%)
FIGURE 29. COMPARATIVE SHARE ANALYSIS OF MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET FOR OTHERS, BY COUNTRY, 2020 & 2030 (%)
FIGURE 30. MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY REGION, 2020-2030 (%)
FIGURE 31. COMPARATIVE SHARE ANALYSIS OF NORTH AMERICA MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY COUNTRY, 2020-2030 (%)
FIGURE 32. U.S. MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, 2020-2030 ($MILLION)
FIGURE 33. CANADA MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, 2020-2030 ($MILLION)
FIGURE 34. MEXICO MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, 2020-2030 ($MILLION)
FIGURE 35. COMPARATIVE SHARE ANALYSIS OF EUROPE MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY COUNTRY, 2020-2030 (%)
FIGURE 36. UK MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, 2020-2030 ($MILLION)
FIGURE 37. GERMANY MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, 2020-2030 ($MILLION)
FIGURE 38. FRANCE MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, 2020-2030 ($MILLION)
FIGURE 39. ITALY MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, 2020-2030 ($MILLION)
FIGURE 40. REST OF EUROPE MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, 2020-2030 ($MILLION)
FIGURE 41. COMPARATIVE SHARE ANALYSIS OF ASIA-PACIFIC MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY COUNTRY, 2020-2030 (%)
FIGURE 42. CHINA MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, 2020-2030 ($MILLION)
FIGURE 43. JAPAN MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, 2020-2030 ($MILLION)
FIGURE 44. INDIA MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, 2020-2030 ($MILLION)
FIGURE 45. SOUTH KOREA MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, 2020-2030 ($MILLION)
FIGURE 46. TAIWAN MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, 2020-2030 ($MILLION)
FIGURE 47. REST OF ASIA-PACIFIC MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, 2020-2030 ($MILLION)
FIGURE 48. COMPARATIVE SHARE ANALYSIS OF LAMEA MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY COUNTRY, 2020-2030 (%)
FIGURE 49. LATIN AMERICA MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, 2020-2030 ($MILLION)
FIGURE 50. MIDDLE EAST MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, 2020-2030 ($MILLION)
FIGURE 51. AFRICA MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, 2020-2030 ($MILLION)
FIGURE 52. MARKET PLAYER POSITIONING, 2020
FIGURE 53. TOP WINNING STRATEGIES, BY YEAR, 2018-2021
FIGURE 54. TOP WINNING STRATEGIES, BY YEAR, 2018-2021
FIGURE 55. TOP WINNING STRATEGIES, BY COMPANY, 2018-2021
FIGURE 56. APPLE INC.: R&D EXPENDITURE, 2018-2020 ($MILLION)
FIGURE 57. APPLE INC.: REVENUE, 2018-2020 ($MILLION)
FIGURE 58. APPLE INC.: REVENUE SHARE, BY SEGMENT, 2020 (%)
FIGURE 59. APPLE INC.: REVENUE SHARE, BY REGION, 2020 (%)
FIGURE 60. R&D EXPENDITURE, 2018-2020 ($MILLION)
FIGURE 61. MICROSOFT CORPORATION: REVENUE, 2018-2020 ($MILLION)
FIGURE 62. MICROSOFT CORPORATION: REVENUE SHARE BY SEGMENT, 2020 (%)
FIGURE 63. MICROSOFT CORPORATION: REVENUE SHARE BY REGION, 2020 (%)
FIGURE 64. INTEL CORPORATION: R&D EXPENDITURE, 2018-2020 ($MILLION)
FIGURE 65. INTEL CORPORATION: REVENUE, 2018-2020 ($MILLION)
FIGURE 66. INTEL CORPORATION: REVENUE SHARE, BY SEGMENT, 2020 (%)
FIGURE 67. INTEL CORPORATION: REVENUE SHARE, BY REGION, 2020 (%)
FIGURE 68. GOOGLE LLC (ALPHABET INC.): R&D EXPENDITURE, 2018-2020 ($MILLION)
FIGURE 69. GOOGLE LLC (ALPHABET INC.): NET SALES, 2018-2020 ($MILLION)
FIGURE 70. GOOGLE LLC (ALPHABET INC.): REVENUE SHARE BY SEGMENT, 2020 (%)
FIGURE 71. GOOGLE LLC (ALPHABET INC.): REVENUE SHARE, BY REGION, 2020 (%)
FIGURE 72. HUAWEI TECHNOLOGIES CO., LTD.: R&D EXPENDITURE, 2018-2020 ($MILLION)
FIGURE 73. HUAWEI TECHNOLOGIES CO., LTD.: REVENUE, 2018-2020 ($MILLION)
FIGURE 74. HUAWEI TECHNOLOGIES CO., LTD.: REVENUE SHARE, BY SEGMENT, 2020 (%)
FIGURE 75. HUAWEI TECHNOLOGIES CO., LTD.: REVENUE SHARE, BY REGION, 2020 (%)
FIGURE 76. INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM): R&D EXPENDITURE, 2018-2020 ($MILLION)
FIGURE 77. INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM): REVENUE, 2018-2020 ($MILLION)
FIGURE 78. INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM): REVENUE SHARE, BY SEGMENT, 2020 (%)
FIGURE 79. INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM): REVENUE SHARE, BY REGION, 2020 (%)
FIGURE 80. SAMSUNG ELECTRONICS: R&D EXPENDITURE, 2018-2020 ($MILLION)
FIGURE 81. SAMSUNG ELECTRONICS: NET SALES, 2018-2020 ($MILLION)
FIGURE 82. SAMSUNG ELECTRONICS: REVENUE SHARE, BY SEGMENT, 2020 (%)
FIGURE 83. SAMSUNG ELECTRONICS: REVENUE SHARE, BY REGION, 2020 (%)
FIGURE 84. QUALCOMM TECHNOLOGIES, INC.: R&D EXPENDITURE, 2018-2020 ($MILLION)
FIGURE 85. QUALCOMM TECHNOLOGIES, INC.: REVENUE, 2018-2020 ($MILLION)
FIGURE 86. QUALCOMM TECHNOLOGIES, INC.: REVENUE SHARE, BY SEGMENT, 2020 (%)
FIGURE 87. QUALCOMM TECHNOLOGIES, INC.: REVENUE SHARE, BY REGION, 2020 (%)
FIGURE 88. MEDIATEK: NET SALES, 2017-2019 ($MILLION)
FIGURE 89. MEDIATEK: REVENUE SHARE BY REGION, 2019 (%)
FIGURE 90. INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM): R&D EXPENDITURE, 2018-2020 ($MILLION)
FIGURE 91. NVIDIA CORPORATION: NET SALES, 2018-2020 ($MILLION)
FIGURE 92. NVIDIA: REVENUE SHARE BY SEGMENT, 2020 (%)
FIGURE 93. NVIDIA: REVENUE SHARE BY REGION,2020 (%)
Companies Mentioned
- NVIDIA Corporation (U.S.)
- Intel Corporation (U.S.)
- Microsoft Corporation (U.S.)
- IBM Corporation (U.S.)
- Qualcomm Inc. (U.S.)
- Apple Inc. (U.S.)
- Google (U.S.)
- Samsung Electronics (South Korea)
- MediaTek Inc. (Taiwan)
- Huawei Technologies (China)
Methodology
The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.
They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.
They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:
- Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
- Scientific and technical writings for product information and related preemptions
- Regional government and statistical databases for macro analysis
- Authentic news articles and other related releases for market evaluation
- Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast
Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.
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