Summary
The global and Chinese economies were hit hard in 2020, and the global GDP grew by XX% in 2021. Although the global growth prospects improved and there was a V-shaped rebound, this does not mean that the economy has really recovered to the level before the epidemic. The vast majority of countries are still in the stage of recovery after heavy damage and are far from achieving real recovery.
2023 is a year of continuous recovery. Global supply chain disturbance, geopolitical tension, energy price fluctuation, local labor shortage and rising raw material prices will affect the resilience of economic recovery. The International Monetary Fund (IMF) predicts that the world economy will grow by XX% in 2023, of which the U.S. economy will grow by about XX%. Driven by China and India, Asia is expected to become the fastest growing region in the world in 2023. However, China's economic growth has slowed down. The 2023 government work report shows that the expected target of economic growth is set at about XX%.
According to research, China has set a growth rate of about XX%, which not only focuses on the speed of economic growth, but also anchors the quality of economic development. Scientific and technological innovation, economic and social digitization and green development will be the long-term goals of China's economic development. It is expected that in 2023, major economies such as the United States, Europe and China will introduce more favorable policies to drive the development of switching power supply industry.
VIC Research released the 《Global Natural Language Processing Market Segment Research Report 2023》, which aims to sort out the development status and trends of the Natural Language Processing industry at home and abroad, estimate the overall market scale of the Natural Language Processing industry and the market share of major countries, Natural Language Processing industry, and study and judge the downstream market demand of Natural Language Processing through systematic research, Analyze the competition pattern of Natural Language Processing, so as to help solve the pain points of various stakeholders in Natural Language Processing industry. This industry research report combines desktop research, qualitative interviews with insiders or experts and other methods to strive for the objectivity and integrity of conclusions and data.
Regional Segmentation (Value; Revenue, USD Million, 2019-2028) of Natural Language Processing Market by VIC Research Include
USA
Europe
China
Japan
India
Korea
Southeast Asia
Competitive Analysis; Who are the Major Players in Natural Language Processing Market?
Apple Incorporation
Dolbey Systems
Google
Microsoft Corporation
Verint Systems
3M
IBM Incorporation
NetBase Solutions
SAS Institute Inc
HP
Major Type of Natural Language Processing Covered in VIC Research report:
Rule-Based
Statistical
Hybrid
Application Segments Covered in VIC Research Market
Web Search
Language Translation
Customer Service
For any other requirements, please feel free to contact us and we will provide you customized report.
Table of Contents
Global Natural Language Processing Market Segment Research Report 2023
1. Research Scope
2. Market Overview
2.1 Product Introduction, Application, Picture
2.2 Global Natural Language Processing Market by Value
2.2.1 Global Natural Language Processing Revenue by Type
2.2.2 Global Natural Language Processing Market by Value (%)
2.3 Global Natural Language Processing Market by Production
2.3.1 Global Natural Language Processing Production by Type
2.3.2 Global Natural Language Processing Market by Production (%)
3. The Major Driver of Natural Language Processing Industry
3.1 Historical & Forecast Global Natural Language Processing Demand
3.2 Largest Application for Natural Language Processing (2019-2028)
3.3 The Major Downstream Company in China Market 2023
4. Global and Regional Natural Language Processing Market
4.1 Regional Market Size in Terms of Production & Demand (2023)
4.2 Regional Market Share in Terms of Revenue (2019-2023)
4.3 Concentration Ratio (CR5& CR10) of Natural Language Processing Market
4.4 Mergers & Acquisitions, Expansion Plans
5. US Natural Language Processing Production, Revenue (2019-2028)
5.1 Current and Estimated Production Breakdown by Type
5.2 Current and Estimated Production Breakdown by Application
5.3 Current and Estimated Revenue Breakdown by Type (2019-2028)
5.4 Current and Estimated Revenue Breakdown by Application (2019-2028)
6. Europe Natural Language Processing Production, Revenue (2019-2028)
6.1 Current and Estimated Production Breakdown by Type
6.2 Current and Estimated Production Breakdown by Application
6.3 Current and Estimated Revenue Breakdown by Type (2019-2028)
6.4 Current and Estimated Revenue Breakdown by Application (2019-2028)
7. China Natural Language Processing Production, Revenue (2019-2028)
7.1 Current and Estimated Production Breakdown by Type
7.2 Current and Estimated Production Breakdown by Application
7.3 Current and Estimated Revenue Breakdown by Type (2019-2028)
7.4 Current and Estimated Revenue Breakdown by Application (2019-2028)
8. Japan Natural Language Processing Production, Revenue (2019-2028)
8.1 Current and Estimated Production Breakdown by Type
8.2 Current and Estimated Production Breakdown by Application
8.3 Current and Estimated Revenue Breakdown by Type (2019-2028)
8.4 Current and Estimated Revenue Breakdown by Application (2019-2028)
9. India Natural Language Processing Production, Revenue (2019-2028)
9.1 Current and Estimated Production Breakdown by Type
9.2 Current and Estimated Production Breakdown by Application
9.3 Current and Estimated Revenue Breakdown by Type (2019-2028)
9.4 Current and Estimated Revenue Breakdown by Application (2019-2028)
10. Korea Natural Language Processing Production, Revenue (2019-2028)
10.1 Current and Estimated Production Breakdown by Type
10.2 Current and Estimated Production Breakdown by Application
10.3 Current and Estimated Revenue Breakdown by Type (2019-2028)
10.4 Current and Estimated Revenue Breakdown by Application (2019-2028)
11. Southeast Asia Natural Language Processing Production, Revenue (2019-2028)
11.1 Current and Estimated Production Breakdown by Type
11.2 Current and Estimated Production Breakdown by Application
11.3 Current and Estimated Revenue Breakdown by Type (2019-2028)
11.4 Current and Estimated Revenue Breakdown by Application (2019-2028)
12. Global Natural Language Processing Average Price Trend
12.1 Market Price for Each Type of Natural Language Processing in US (2019-2023)
12.2 Market Price for Each Type of Natural Language Processing in Europe (2019-2023)
12.3 Market Price for Each Type of Natural Language Processing in China (2019-2023)
12.4 Market Price for Each Type of Natural Language Processing in Japan (2019-2023)
12.5 Market Price for Each Type of Natural Language Processing in India (2019-2023)
12.6 Market Price for Each Type of Natural Language Processing in Korea (2019-2023)
12.7 Market Price for Each Type of Natural Language Processing in Southeast Asia (2019-2023)
13. Industrial Chain (Impact of COVID-19)
13.1 Natural Language Processing Industrial Chain Analysis
13.2 Downstream
13.3 Impact of COVID-19
13.4 Post-pandemic Era
13.5 Technology Trends of Natural Language Processing
14. Natural Language Processing Competitive Landscape
14.1 Apple Incorporation
14.1.1 Apple Incorporation Company Profiles
14.1.2 Apple Incorporation Product Introduction
14.1.3 Apple Incorporation Natural Language Processing Production, Revenue (2019-2023)
14.1.4 Strategic initiatives
14.2 Dolbey Systems
14.2.1 Dolbey Systems Company Profiles
14.2.2 Dolbey Systems Product Introduction
14.2.3 Dolbey Systems Natural Language Processing Production, Revenue (2019-2023)
14.2.4 Strategic initiatives
14.3 Google
14.3.1 Google Company Profiles
14.3.2 Google Product Introduction
14.3.3 Google Natural Language Processing Production, Revenue (2019-2023)
14.3.4 Strategic initiatives
14.4 Microsoft Corporation
14.4.1 Microsoft Corporation Company Profiles
14.4.2 Microsoft Corporation Product Introduction
14.4.3 Microsoft Corporation Natural Language Processing Production, Revenue (2019-2023)
14.4.4 Strategic initiatives
14.5 Verint Systems
14.5.1 Verint Systems Company Profiles
14.5.2 Verint Systems Product Introduction
14.5.3 Verint Systems Natural Language Processing Production, Revenue (2019-2023)
14.5.4 Strategic initiatives
14.6 3M
14.6.1 3M Company Profiles
14.6.2 3M Product Introduction
14.6.3 3M Natural Language Processing Production, Revenue (2019-2023)
14.6.4 Strategic initiatives
14.7 IBM Incorporation
14.7.1 IBM Incorporation Company Profiles
14.7.2 IBM Incorporation Product Introduction
14.7.3 IBM Incorporation Natural Language Processing Production, Revenue (2019-2023)
14.7.4 Strategic initiatives
14.8 NetBase Solutions
14.8.1 NetBase Solutions Company Profiles
14.8.2 NetBase Solutions Product Introduction
14.8.3 NetBase Solutions Natural Language Processing Production, Revenue (2019-2023)
14.8.4 Strategic initiatives
14.9 SAS Institute Inc
14.9.1 SAS Institute Inc Company Profiles
14.9.2 SAS Institute Inc Product Introduction
14.9.3 SAS Institute Inc Natural Language Processing Production, Revenue (2019-2023)
14.9.4 Strategic initiatives
14.10 HP
14.10.1 HP Company Profiles
14.10.2 HP Product Introduction
14.10.3 HP Natural Language Processing Production, Revenue (2019-2023)
14.10.4 Strategic initiatives
15. Conclusion
16. Methodology and Data Source
List of Tables and Figures
Figure 1. Total Demand by Application of Natural Language Processing Industry (Volume)
Figure 2. Natural Language Processing Production & Demand by Regions in 2023
Figure 3. Regional Market Share in Terms of Revenue (2023&2027)
Figure 4. The Top 10 and 5 Players Market Share by Natural Language Processing Revenue in 2023
Figure 5. US Natural Language Processing Production, Demand (2019-2028)
Figure 6. Production Breakdown by Type (%)
Figure 7. Demand Breakdown by Type (%)
Figure 8. Demand Breakdown by Application (%)
Figure 9. Revenue Breakdown by Type (%)
Figure 10. Revenue Breakdown by Application (%)
Figure 11. Europe Natural Language Processing Production, Demand (2019-2028)
Figure 12. Production Breakdown by Type (%)
Figure 13. Demand Breakdown by Type (%)
Figure 14. Demand Breakdown by Application (%)
Figure 15. Revenue Breakdown by Type (%)
Figure 16. Revenue Breakdown by Application (%)
Figure 17. China Natural Language Processing Production, Demand (2019-2028)
Figure 18. Production Breakdown by Type (%)
Figure 19. Demand Breakdown by Type (%)
Figure 20. Demand Breakdown by Application (%)
Figure 21. Current and Estimated Revenue Breakdown by Type
Figure 22. Revenue Breakdown by Type (%)
Figure 23. Revenue Breakdown by Application (%)
Figure 24. Japan Natural Language Processing Production, Demand (2019-2028)
Figure 25. Production Breakdown by Type (%)
Figure 26. Demand Breakdown by Type (%)
Figure 27. Demand Breakdown by Application (%)
Figure 28. Revenue Breakdown by Type (%)
Figure 29. Revenue Breakdown by Application (%)
Figure 30. India Natural Language Processing Production, Demand (2019-2028)
Figure 31. Production Breakdown by Type (%)
Figure 32. Demand Breakdown by Type (%)
Figure 33. Demand Breakdown by Application (%)
Figure 34. Revenue Breakdown by Type (%)
Figure 35. Revenue Breakdown by Application (%)
Figure 36. Korea Natural Language Processing Production, Demand (2019-2028)
Figure 37. Production Breakdown by Type (%)
Figure 38. Demand Breakdown by Type (%)
Figure 39. Demand Breakdown by Application (%)
Figure 40. Revenue Breakdown by Type (%)
Figure 41. Revenue Breakdown by Application (%)
Figure 42. Southeast Asia Natural Language Processing Production, Demand (2019-2028)
Figure 43. Current and Estimated Production Breakdown by Type (2019-2028)
Figure 44. Production Breakdown by Type (%)
Figure 45. Demand Breakdown by Type (%)
Figure 46. Revenue Breakdown by Type (%)
Figure 47. Revenue Breakdown by Application (%)
Figure 48. Industrial Chain
Table 1. Top Manufacturers and Market Segmentation
Table 2. Product Introduction, Application, Picture
Table 3. Natural Language Processing Revenue, by Type (Million USD) (2019-2028)
Table 4. Natural Language Processing Production, by Type (K Unit) (2019-2028)
Table 5. Natural Language Processing Demand (K Unit) by Application (2019-2028)
Table 6. Natural Language Processing Demand (Million USD) by Application (2019-2028)
Table 7. The Major Downstream Company in China
Table 8. Regional Market Share in Terms of Production & Demand (2023)
Table 9. Regional Market Share in Terms of Revenue (2023&2027)
Table 10. Ranking of Global Top Natural Language Processing Companies by Revenue, Concentration Ratio in 2023
Table 11. Mergers & Acquisitions, Expansion Plans
Table 12. US Natural Language Processing Production (K Unit), Market Revenue (Million USD), Demand (K Unit) (2019-2028)
Table 13. Current and Estimated Production Breakdown by Type (2019-2028)
Table 14. Current and Estimated Demand Breakdown by Type (2019-2028)
Table 15. Current and Estimated Demand Breakdown by Application (2019-2028)
Table 16. Current and Estimated Revenue Breakdown by Type
Table 17. Current and Estimated Revenue Breakdown by Application
Table 18. Europe Natural Language Processing Production (K Unit), Market Revenue (Million USD), Demand (K Unit) (2019-2028)
Table 19. Current and Estimated Production Breakdown by Type (2019-2028)
Table 20. Current and Estimated Demand Breakdown by Type (2019-2028)
Table 21. Current and Estimated Demand Breakdown by Application (2019-2028)
Table 22. Current and Estimated Revenue Breakdown by Type
Table 23. Current and Estimated Revenue Breakdown by Application
Table 24. China Natural Language Processing Production (K Unit), Market Revenue (Million USD), Demand (K Unit) (2019-2028)
Table 25. Table Current and Estimated Production Breakdown by Type
Table 26. Current and Estimated Demand Breakdown by Type
Table 27. Current and Estimated Demand Breakdown by Application
Table 28. Current and Estimated Revenue Breakdown by Application
Table 29. Japan Natural Language Processing Production (K Unit), Market Revenue (Million USD), Demand (K Unit) (2019-2028)
Table 30. Current and Estimated Production Breakdown by Type (2019-2028)
Table 31. Current and Estimated Demand Breakdown by Type (2019-2028)
Table 32. Current and Estimated Demand Breakdown by Application (2019-2028)
Table 33. Current and Estimated Revenue Breakdown by Type
Table 34. Current and Estimated Revenue Breakdown by Application
Table 35. India Natural Language Processing Production (K Unit), Market Revenue (Million USD), Demand (K Unit) (2019-2028)
Table 36. Current and Estimated Production Breakdown by Type (2019-2028)
Table 37. Current and Estimated Demand Breakdown by Type (2019-2028)
Table 38. Current and Estimated Demand Breakdown by Application (2019-2028)
Table 39. Current and Estimated Revenue Breakdown by Type
Table 40. Current and Estimated Revenue Breakdown by Application
Table 41. Korea Natural Language Processing Production (K Unit), Market Revenue (Million USD), Demand (K Unit) (2019-2028)
Table 42. Current and Estimated Production Breakdown by Type (2019-2028)
Table 43. Current and Estimated Demand Breakdown by Type (2019-2028)
Table 44. Current and Estimated Demand Breakdown by Application (2019-2028)
Table 45. Current and Estimated Revenue Breakdown by Type
Table 46. Current and Estimated Revenue Breakdown by Application
Table 47. Southeast Asia Natural Language Processing Production (K Unit), Market Revenue (Million USD), Demand (K Unit) (2019-2028)
Table 48. Table Current and Estimated Demand Breakdown by Type (2019-2028)
Table 49. Current and Estimated Demand Breakdown by Application (2019-2028)
Table 50. Current and Estimated Revenue Breakdown by Type
Table 51. Current and Estimated Revenue Breakdown by Application
Table 52. Market Price (USD/Unit) for Each Type of Natural Language Processing in US (2019-2023)
Table 53. Market Price (USD/Unit) for Each Type of Natural Language Processing in Europe (2019-2023)
Table 54. Market Price (USD/Unit) for Each Type of Natural Language Processing in China (2019-2023)
Table 55. Market Price (USD/Unit) for Each Type of Natural Language Processing in Japan (2019-2023)
Table 56. Market Price (USD/Unit) for Each Type of Natural Language Processing in India (2019-2023)
Table 57. Market Price (USD/Unit) for Each Type of Natural Language Processing in Korea (2019-2023)
Table 58. Market Price (USD/Unit) for Each Type of Natural Language Processing in Southeast Asia (2019-2023)
Table 59. Key Downstream Customer in Each Application Field
Table 60. Apple Incorporation Profiles
Table 61. Apple Incorporation Natural Language Processing Product Introduction
Table 62. Apple Incorporation Natural Language Processing Production (Unit), Revenue (Million USD) (2019-2023)
Table 63. Apple Incorporation Strategic initiatives
Table 64. Dolbey Systems Profiles
Table 65. Dolbey Systems Natural Language Processing Product Introduction
Table 66. Dolbey Systems Natural Language Processing Production (Unit), Revenue (Million USD) (2019-2023)
Table 67. Dolbey Systems Strategic initiatives
Table 68. Google Profiles
Table 69. Google Natural Language Processing Product Introduction
Table 70. Google Natural Language Processing Production (Unit), Revenue (Million USD) (2019-2023)
Table 71. Google Strategic initiatives
Table 72. Microsoft Corporation Profiles
Table 73. Microsoft Corporation Natural Language Processing Product Introduction
Table 74. Microsoft Corporation Natural Language Processing Production (Unit), Revenue (Million USD) (2019-2023)
Table 75. Microsoft Corporation Strategic initiatives
Table 76. Verint Systems Profiles
Table 77. Verint Systems Natural Language Processing Product Introduction
Table 78. Verint Systems Natural Language Processing Production (Unit), Revenue (Million USD) (2019-2023)
Table 79. Verint Systems Strategic initiatives
Table 80. 3M Profiles
Table 81. 3M Natural Language Processing Product Introduction
Table 82. 3M Natural Language Processing Production (Unit), Revenue (Million USD) (2019-2023)
Table 83. 3M Strategic initiatives
Table 84. IBM Incorporation Profiles
Table 85. IBM Incorporation Natural Language Processing Product Introduction
Table 86. IBM Incorporation Natural Language Processing Production (Unit), Revenue (Million USD) (2019-2023)
Table 87. IBM Incorporation Strategic initiatives
Table 88. NetBase Solutions Profiles
Table 89. NetBase Solutions Natural Language Processing Product Introduction
Table 90. NetBase Solutions Natural Language Processing Production (Unit), Revenue (Million USD) (2019-2023)
Table 91. NetBase Solutions Strategic initiatives
Table 92. SAS Institute Inc Profiles
Table 93. SAS Institute Inc Natural Language Processing Product Introduction
Table 94. SAS Institute Inc Natural Language Processing Production (Unit), Revenue (Million USD) (2019-2023)
Table 95. SAS Institute Inc Strategic initiatives
Table 97. HP Profiles
Table 98. HP Natural Language Processing Product Introduction
Table 99. HP Natural Language Processing Production (Unit), Revenue (Million USD) (2019-2023)
Table 100. HP Strategic initiatives
The research methodology employed by VICResearch has been subjected by numerous procedures in order to guarantee the quality and accuracy of the data contained within the reports. The analysts are employed full-time and received more than six months training to satisfy the standard of VICResearch. VICResearch’s methodology can be divided into five stages:
Stage 1: Secondary research
The research team first works with magazines, industry trade group, and administration that operate in the research field. The information provided by our in-house documentation service helps us carrying out further research. Our team which has the experience as well as the knowledge efficiently extracts the accurate information from existing source.
Stage 2: Primary research: interviews with trade sources
After the first stage, the research team conducts large number of face-to-face or telephone interviews with the representative companies operating in the research field. The analysts attempt to obtain a chance to talk with leading players in the field as well as with small companies. The upstream suppliers, manufacturers, distributors, importers, installers, wholesalers and consumers are all included in the interviews. The data gathered during the interview is then carefully checked and compared with the secondary research.
Stage 3: Analysis of the gathered data
The analysis team checks and synthesizes the data gathered during the first two stages. To validate the data, a second series of interviews can be conducted.
Stage 4: Quantitative data
The quantitative data such as market estimates, production and capacity of manufacturer, market forecasts and investment feasibility is provided by VICResearch. The data is based on the estimates obtained during stage 3.
The research team also provides appreciation and analysis of the market and the quantitative data contained in the reports. The data is consequently unique to VICResearch.
Stage 5: Quality control
Before publishing, every report goes under a rigorous checking and editing process, which is done by experience management team to ensure the reliability of the published data. Each analyst in the research team receives support and on-going training which is part of the VICResearch’s internal quality process.
Consulting report: +86-15323335301 020-31521856
