ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET FORECAST 2017-2026
KEY FINDINGS
Asia Pacific Artificial Intelligence market’s revenue is likely to be positively impacted during the forecast period of 2017-2026, due to a CAGR rise of 47.64%. The market is estimated to be worth $16120 million by 2026.
MARKET INSIGHTS
Asia Pacific Artificial Intelligence market is evolving rapidly. The market is increasingly being driven by growing integration of AI with big data analytics, resulting in an enhanced productivity. The market segmentation is carried out on the basis of systems, verticals, offerings, and technology. The Australian market is likely to expand with the highest CAGR for this region over the projected years. A large number of start-ups are contributing to the prosperity of this market. However, the Asia-Pacific market is vulnerable to software or hardware failures and might lag behind due to the unavailability of a skilled workforce.
COMPETITIVE INSIGHTS
Many market players such as Intel Corporation, International Business Machines Corporation (IBM), Ge Healthcare, Google Inc, Shell Oil Company, Rocket Fuel Inc. (Acquired By Sizmek, Inc.), Uber Technologies Inc, Apple Inc, 24/7 Technologies, Ipsoft Inc, Qlik Technologies, Next IT Corporation, Microsoft Corporation, Microstrategy Inc, and Nvidia Corporation are increasingly engaging in the Asia-Pacific Artificial Intelligence market.
Asia Pacific Artificial Intelligence market’s revenue is likely to be positively impacted during the forecast period of 2017-2026, due to a CAGR rise of 47.64%. The market is estimated to be worth $16120 million by 2026.
MARKET INSIGHTS
Asia Pacific Artificial Intelligence market is evolving rapidly. The market is increasingly being driven by growing integration of AI with big data analytics, resulting in an enhanced productivity. The market segmentation is carried out on the basis of systems, verticals, offerings, and technology. The Australian market is likely to expand with the highest CAGR for this region over the projected years. A large number of start-ups are contributing to the prosperity of this market. However, the Asia-Pacific market is vulnerable to software or hardware failures and might lag behind due to the unavailability of a skilled workforce.
COMPETITIVE INSIGHTS
Many market players such as Intel Corporation, International Business Machines Corporation (IBM), Ge Healthcare, Google Inc, Shell Oil Company, Rocket Fuel Inc. (Acquired By Sizmek, Inc.), Uber Technologies Inc, Apple Inc, 24/7 Technologies, Ipsoft Inc, Qlik Technologies, Next IT Corporation, Microsoft Corporation, Microstrategy Inc, and Nvidia Corporation are increasingly engaging in the Asia-Pacific Artificial Intelligence market.
1. RESEARCH SCOPE
1.1. STUDY GOALS
1.2. SCOPE OF THE MARKET STUDY
1.3. WHO WILL FIND THIS REPORT USEFUL?
1.4. STUDY AND FORECASTING YEARS
2. RESEARCH METHODOLOGY
2.1. SOURCES OF DATA
2.1.1. SECONDARY DATA
2.1.2. PRIMARY DATA
2.2. TOP-DOWN APPROACH
2.3. BOTTOM-UP APPROACH
2.4. DATA TRIANGULATION
3. EXECUTIVE SUMMARY
3.1. MARKET SUMMARY
3.2. KEY FINDINGS
3.2.1. BANKING, FINANCIAL SERVICES & INSURANCE (BFSI) – KEY ADOPTER OF AI TECHNOLOGY
3.2.2. ASIA PACIFIC IS THE FASTEST EVOLVING REGIONAL MARKET
3.2.3. MACHINE LEARNING IS A DOMINATING TECHNOLOGY SEGMENT
3.2.4. AUTOMOTIVE & TRANSPORTATION – KEY OPPORTUNISTIC VERTICAL
4. MARKET DYNAMICS
4.1. ETYMOLOGY OF ARTIFICIAL INTELLIGENCE
4.2. MARKET DEFINITION AND SCOPE
4.3. MARKET DRIVERS
4.3.1. RISING FUNDING & INVESTMENT IN AI TECHNOLOGY
4.3.2. GROWING NUMBER OF STARTUPS IN AI MARKET
4.3.3. INCREASED ADOPTION OF AI FOR IMPROVING CUSTOMER SERVICE EXPERIENCE
4.3.4. INTEGRATION OF BIG DATA WITH ARTIFICIAL INTELLIGENCE & MACHINE LEARNING
4.3.5. AI DRIVEN IMPROVEMENTS IS THE NEW TREND OF ENHANCING PRODUCTIVITY
4.4. MARKET RESTRAINTS
4.4.1. LOW RETURN ON INVESTMENT
4.4.2. COSTS ASSOCIATED WITH AI
4.5. MARKET OPPORTUNITIES
4.5.1. RISING AUTOMATION & AI IMPLEMENTATION
4.5.2. GROWING ROBOTIZATION ACROSS NUMEROUS VERTICALS
4.5.3. INCORPORATION OF AI WITH HUMAN INTELLIGENCE
4.5.4. INCREASED USE OF AI IN RESEARCH & DEVELOPMENT
4.6. MARKET CHALLENGES
4.6.1. LACK OF SKILLED WORKFORCE
4.6.2. VULNERABLE TO HARDWARE & SOFTWARE FAILURES
5. MARKET BY OFFERINGS
5.1. HARDWARE
5.2. SOFTWARE
5.3. SERVICES
6. MARKET BY SYSTEM
6.1. INTELLIGENCE SYSTEMS
6.2. DECISION SUPPORT PROCESSING
6.3. HYBRID SYSTEMS
6.4. FUZZY SYSTEMS
7. MARKET BY TECHNOLOGY
7.1. MACHINE LEARNING
7.2. ROBOTICS
7.3. IMAGE PROCESSING
7.4. SPEECH RECOGNITION
7.5. NATURAL LANGUAGE PROCESSING
7.6. COGNITIVE COMPUTING (OTHER TECHNOLOGY)
8. MARKET BY VERTICALS
8.1. TECHNOLOGY & TELECOMMUNICATIONS
8.2. BANKING, FINANCIAL SERVICE & INSURANCE
8.3. RETAIL
8.4. MEDIA & ENTERTAINMENT
8.5. AUTOMOTIVE AND TRANSPORTATION
8.6. AGRICULTURE
8.7. RESOURCES & UTILITIES
8.8. MANUFACTURING
8.9. HEALTHCARE
8.10. EDUCATION
8.11. OTHER VERTICALS
9. KEY ANALYTICS
9.1. PORTER’S FIVE FORCE ANALYSIS
9.1.1. THREAT OF NEW ENTRANTS
9.1.2. THREAT OF SUBSTITUTE
9.1.3. BARGAINING POWER OF SUPPLIERS
9.1.4. BARGAINING POWER OF BUYERS
9.1.5. INTENSITY OF COMPETITIVE RIVALRY
9.2. OPPORTUNITY MATRIX
9.3. INVESTMENT VS ADOPTION MODEL
9.4. KEY BUYING CRITERIA
9.4.1. APPLICATION
9.4.2. TECHNOLOGY
9.4.3. INTEGRATION WITH EXISTING INFRASTRUCTURE
9.5. VALUE CHAIN ANALYSIS
9.5.1. DATA WAREHOUSE
9.5.2. ARTIFICIAL INTELLIGENCE ANALYSIS
9.5.3. SOFTWARE DEVELOPMENT
9.6. LEGAL, POLICY AND REGULATORY FRAMEWORK
9.7. INVESTMENT ANALYSIS
9.7.1. VERTICALS-BASED OPPORTUNITIES
9.7.2. TECHNOLOGY-BASED OPPORTUNITIES
10. GEOGRAPHICAL ANALYSIS
10.1. CHINA
10.2. JAPAN
10.3. INDIA
10.4. SOUTH KOREA
10.5. AUSTRALIA
10.6. REST OF ASIA PACIFIC
11. COMPETITIVE LANDSCAPE
11.1. MARKET SHARE ANALYSIS
11.2. KEY COMPANY ANALYSIS
11.2.1. GOOGLE, INC.
11.2.2. INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM)
11.2.3. MICROSOFT CORPORATION
11.2.4. GE HEALTHCARE
11.2.5. APPLE, INC.
11.2.6. INTEL CORPORATION
11.3. CORPORATE STRATEGIES
11.3.1. PRODUCT LAUNCH
11.3.2. PARTNERSHIP & COLLABORATION
11.3.3. MERGER & ACQUISITION
11.3.4. INVESTMENTS
11.3.5. BUSINESS EXPANSION
11.3.6. JOINT VENTURES
11.4. COMPANY PROFILES
11.4.1. 24/7 TECHNOLOGIES
11.4.2. APPLE, INC.
11.4.3. GE HEALTHCARE
11.4.4. GOOGLE, INC.
11.4.5. INTEL CORPORATION
11.4.6. INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM)
11.4.7. IPSOFT, INC.
11.4.8. MICROSOFT CORPORATION
11.4.9. MICROSTRATEGY, INC.
11.4.10. NEXT IT CORPORATION
11.4.11. NVIDIA CORPORATION
11.4.12. QLIK TECHNOLOGIES
11.4.13. ROCKET FUEL INC. (ACQUIRED BY SIZMEK, INC.)
11.4.14. SHELL OIL COMPANY
11.4.15. UBER TECHNOLOGIES, INC.
1.1. STUDY GOALS
1.2. SCOPE OF THE MARKET STUDY
1.3. WHO WILL FIND THIS REPORT USEFUL?
1.4. STUDY AND FORECASTING YEARS
2. RESEARCH METHODOLOGY
2.1. SOURCES OF DATA
2.1.1. SECONDARY DATA
2.1.2. PRIMARY DATA
2.2. TOP-DOWN APPROACH
2.3. BOTTOM-UP APPROACH
2.4. DATA TRIANGULATION
3. EXECUTIVE SUMMARY
3.1. MARKET SUMMARY
3.2. KEY FINDINGS
3.2.1. BANKING, FINANCIAL SERVICES & INSURANCE (BFSI) – KEY ADOPTER OF AI TECHNOLOGY
3.2.2. ASIA PACIFIC IS THE FASTEST EVOLVING REGIONAL MARKET
3.2.3. MACHINE LEARNING IS A DOMINATING TECHNOLOGY SEGMENT
3.2.4. AUTOMOTIVE & TRANSPORTATION – KEY OPPORTUNISTIC VERTICAL
4. MARKET DYNAMICS
4.1. ETYMOLOGY OF ARTIFICIAL INTELLIGENCE
4.2. MARKET DEFINITION AND SCOPE
4.3. MARKET DRIVERS
4.3.1. RISING FUNDING & INVESTMENT IN AI TECHNOLOGY
4.3.2. GROWING NUMBER OF STARTUPS IN AI MARKET
4.3.3. INCREASED ADOPTION OF AI FOR IMPROVING CUSTOMER SERVICE EXPERIENCE
4.3.4. INTEGRATION OF BIG DATA WITH ARTIFICIAL INTELLIGENCE & MACHINE LEARNING
4.3.5. AI DRIVEN IMPROVEMENTS IS THE NEW TREND OF ENHANCING PRODUCTIVITY
4.4. MARKET RESTRAINTS
4.4.1. LOW RETURN ON INVESTMENT
4.4.2. COSTS ASSOCIATED WITH AI
4.5. MARKET OPPORTUNITIES
4.5.1. RISING AUTOMATION & AI IMPLEMENTATION
4.5.2. GROWING ROBOTIZATION ACROSS NUMEROUS VERTICALS
4.5.3. INCORPORATION OF AI WITH HUMAN INTELLIGENCE
4.5.4. INCREASED USE OF AI IN RESEARCH & DEVELOPMENT
4.6. MARKET CHALLENGES
4.6.1. LACK OF SKILLED WORKFORCE
4.6.2. VULNERABLE TO HARDWARE & SOFTWARE FAILURES
5. MARKET BY OFFERINGS
5.1. HARDWARE
5.2. SOFTWARE
5.3. SERVICES
6. MARKET BY SYSTEM
6.1. INTELLIGENCE SYSTEMS
6.2. DECISION SUPPORT PROCESSING
6.3. HYBRID SYSTEMS
6.4. FUZZY SYSTEMS
7. MARKET BY TECHNOLOGY
7.1. MACHINE LEARNING
7.2. ROBOTICS
7.3. IMAGE PROCESSING
7.4. SPEECH RECOGNITION
7.5. NATURAL LANGUAGE PROCESSING
7.6. COGNITIVE COMPUTING (OTHER TECHNOLOGY)
8. MARKET BY VERTICALS
8.1. TECHNOLOGY & TELECOMMUNICATIONS
8.2. BANKING, FINANCIAL SERVICE & INSURANCE
8.3. RETAIL
8.4. MEDIA & ENTERTAINMENT
8.5. AUTOMOTIVE AND TRANSPORTATION
8.6. AGRICULTURE
8.7. RESOURCES & UTILITIES
8.8. MANUFACTURING
8.9. HEALTHCARE
8.10. EDUCATION
8.11. OTHER VERTICALS
9. KEY ANALYTICS
9.1. PORTER’S FIVE FORCE ANALYSIS
9.1.1. THREAT OF NEW ENTRANTS
9.1.2. THREAT OF SUBSTITUTE
9.1.3. BARGAINING POWER OF SUPPLIERS
9.1.4. BARGAINING POWER OF BUYERS
9.1.5. INTENSITY OF COMPETITIVE RIVALRY
9.2. OPPORTUNITY MATRIX
9.3. INVESTMENT VS ADOPTION MODEL
9.4. KEY BUYING CRITERIA
9.4.1. APPLICATION
9.4.2. TECHNOLOGY
9.4.3. INTEGRATION WITH EXISTING INFRASTRUCTURE
9.5. VALUE CHAIN ANALYSIS
9.5.1. DATA WAREHOUSE
9.5.2. ARTIFICIAL INTELLIGENCE ANALYSIS
9.5.3. SOFTWARE DEVELOPMENT
9.6. LEGAL, POLICY AND REGULATORY FRAMEWORK
9.7. INVESTMENT ANALYSIS
9.7.1. VERTICALS-BASED OPPORTUNITIES
9.7.2. TECHNOLOGY-BASED OPPORTUNITIES
10. GEOGRAPHICAL ANALYSIS
10.1. CHINA
10.2. JAPAN
10.3. INDIA
10.4. SOUTH KOREA
10.5. AUSTRALIA
10.6. REST OF ASIA PACIFIC
11. COMPETITIVE LANDSCAPE
11.1. MARKET SHARE ANALYSIS
11.2. KEY COMPANY ANALYSIS
11.2.1. GOOGLE, INC.
11.2.2. INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM)
11.2.3. MICROSOFT CORPORATION
11.2.4. GE HEALTHCARE
11.2.5. APPLE, INC.
11.2.6. INTEL CORPORATION
11.3. CORPORATE STRATEGIES
11.3.1. PRODUCT LAUNCH
11.3.2. PARTNERSHIP & COLLABORATION
11.3.3. MERGER & ACQUISITION
11.3.4. INVESTMENTS
11.3.5. BUSINESS EXPANSION
11.3.6. JOINT VENTURES
11.4. COMPANY PROFILES
11.4.1. 24/7 TECHNOLOGIES
11.4.2. APPLE, INC.
11.4.3. GE HEALTHCARE
11.4.4. GOOGLE, INC.
11.4.5. INTEL CORPORATION
11.4.6. INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM)
11.4.7. IPSOFT, INC.
11.4.8. MICROSOFT CORPORATION
11.4.9. MICROSTRATEGY, INC.
11.4.10. NEXT IT CORPORATION
11.4.11. NVIDIA CORPORATION
11.4.12. QLIK TECHNOLOGIES
11.4.13. ROCKET FUEL INC. (ACQUIRED BY SIZMEK, INC.)
11.4.14. SHELL OIL COMPANY
11.4.15. UBER TECHNOLOGIES, INC.
LIST OF TABLES
Table 1: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY GEOGRAPHY, 2017-2026 (IN $ MILLION)
Table 2: STARTUPS IN ARTIFICIAL INTELLIGENCE MARKET
Table 3: IMPROVED CUSTOMER EXPERIENCE DUE TO ADOPTION OF AI ACROSS DIFFERENT VERTICALS
Table 4: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY OFFERINGS, 2017-2026 (IN $ MILLION)
Table 5: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY SYSTEM, 2017-2026 (IN $ MILLION)
Table 6: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2017-2026 (IN $ MILLION)
Table 7: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY VERTICALS, 2017-2026 (IN $ MILLION)
Table 8: OPPORTUNITY MATRIX OF ARTIFICIAL INTELLIGENCE MARKET
Table 9: ASPECTS OF REGULATIONS
Table 10: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY COUNTRY, 2017-2026 (IN $ MILLION)
Table 11: LIST OF PRODUCT LAUNCH
Table 12: LIST OF PARTNERSHIP & COLLABORATION
Table 13: LIST OF MERGER & ACQUISITION
Table 14: LIST OF INVESTMENTS
Table 15: LIST OF BUSINESS EXPANSIONS
Table 16: LIST OF JOINT VENTURES
Table 1: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY GEOGRAPHY, 2017-2026 (IN $ MILLION)
Table 2: STARTUPS IN ARTIFICIAL INTELLIGENCE MARKET
Table 3: IMPROVED CUSTOMER EXPERIENCE DUE TO ADOPTION OF AI ACROSS DIFFERENT VERTICALS
Table 4: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY OFFERINGS, 2017-2026 (IN $ MILLION)
Table 5: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY SYSTEM, 2017-2026 (IN $ MILLION)
Table 6: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2017-2026 (IN $ MILLION)
Table 7: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY VERTICALS, 2017-2026 (IN $ MILLION)
Table 8: OPPORTUNITY MATRIX OF ARTIFICIAL INTELLIGENCE MARKET
Table 9: ASPECTS OF REGULATIONS
Table 10: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY COUNTRY, 2017-2026 (IN $ MILLION)
Table 11: LIST OF PRODUCT LAUNCH
Table 12: LIST OF PARTNERSHIP & COLLABORATION
Table 13: LIST OF MERGER & ACQUISITION
Table 14: LIST OF INVESTMENTS
Table 15: LIST OF BUSINESS EXPANSIONS
Table 16: LIST OF JOINT VENTURES
LIST OF FIGURES
Figure 1: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2016 & 2026 (IN %)
Figure 2: REVENUE GENERATED BY BFSI SEGMENT IN ARTIFICIAL INTELLIGENCE MARKET, 2016 & 2026 (IN $ MILLION)
Figure 3: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, 2017-2026 (IN $ MILLION)
Figure 4: REVENUE GENERATED BY MACHINE LEARNING TECHNOLOGY IN ARTIFICIAL INTELLIGENCE MARKET, 2016 & 2026 (IN $ MILLION)
Figure 5: TIMELINE OF ARTIFICIAL INTELLIGENCE
Figure 6: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY OFFERINGS, 2016 & 2026 (IN %)
Figure 7: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY HARDWARE, 2017-2026 (IN $ MILLION)
Figure 8: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY SOFTWARE, 2017-2026 (IN $ MILLION)
Figure 9: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY SERVICES, 2017-2026 (IN $ MILLION)
Figure 10: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY SYSTEM, 2016 & 2026 (IN %)
Figure 11: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY INTELLIGENCE SYSTEMS, 2017-2026 (IN $ MILLION)
Figure 12: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY DECISION SUPPORT PROCESSING, 2017-2026 (IN $ MILLION)
Figure 13: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY HYBRID SYSTEMS, 2017-2026 (IN $ MILLION)
Figure 14: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY FUZZY SYSTEMS, 2017-2026 (IN $ MILLION)
Figure 15: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2016 & 2026 (IN %)
Figure 16: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY MACHINE LEARNING, 2017-2026 (IN $ MILLION)
Figure 17: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY ROBOTICS, 2017-2026 (IN $ MILLION)
Figure 18: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY IMAGE PROCESSING, 2017-2026 (IN $ MILLION)
Figure 19: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY SPEECH RECOGNITION, 2017-2026 (IN $ MILLION)
Figure 20: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY NATURAL LANGUAGE PROCESSING, 2017-2026 (IN $ MILLION)
Figure 21: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY COGNITIVE COMPUTING (OTHER TECHNOLOGY), 2017-2026 (IN $ MILLION)
Figure 22: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY VERTICALS, 2016 & 2026 (IN %)
Figure 23: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY & TELECOMMUNICATIONS, 2017-2026 (IN $ MILLION)
Figure 24: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY BANKING, FINANCIAL SERVICE & INSURANCE, 2017-2026 (IN $ MILLION)
Figure 25: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY RETAIL, 2017-2026 (IN $ MILLION)
Figure 26: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY MEDIA & ENTERTAINMENT, 2017-2026 (IN $ MILLION)
Figure 27: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY AUTOMOTIVE AND TRANSPORTATION, 2017-2026 (IN $ MILLION)
Figure 28: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY AGRICULTURE, 2017-2026 (IN $ MILLION)
Figure 29: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY RESOURCES & UTILITIES, 2017-2026 (IN $ MILLION)
Figure 30: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY MANUFACTURING, 2017-2026 (IN $ MILLION)
Figure 31: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY HEALTHCARE, 2017-2026 (IN $ MILLION)
Figure 32: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY EDUCATION, 2017-2026 (IN $ MILLION)
Figure 33: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY OTHER VERTICALS, 2017-2026 (IN $ MILLION)
Figure 34: PORTER’S FIVE FORCE MODEL OF ARTIFICIAL INTELLIGENCE MARKET
Figure 35: INVESTMENT VERSUS ADOPTION MODEL OF ARTIFICIAL INTELLIGENCE MARKET
Figure 36: KEY BUYING IMPACT ANALYSIS
Figure 37: VALUE CHAIN ANALYSIS OF ARTIFICIAL INTELLIGENCE MARKET
Figure 38: TECHNOLOGY SEGMENT-WISE INVESTMENT PROPOSITION FOR ARTIFICIAL INTELLIGENCE MARKET, 2016
Figure 39: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, REGIONAL OUTLOOK, 2016 & 2026 (IN %)
Figure 40: CHINA ARTIFICIAL INTELLIGENCE MARKET, 2017-2026 (IN $ MILLION)
Figure 41: JAPAN ARTIFICIAL INTELLIGENCE MARKET, 2017-2026 (IN $ MILLION)
Figure 42: INDIA ARTIFICIAL INTELLIGENCE MARKET, 2017-2026 (IN $ MILLION)
Figure 43: SOUTH KOREA ARTIFICIAL INTELLIGENCE MARKET, 2017-2026 (IN $ MILLION)
Figure 44: AUSTRALIA ARTIFICIAL INTELLIGENCE MARKET, 2017-2026 (IN $ MILLION)
Figure 45: REST OF ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, 2017-2026 (IN $ MILLION)
Figure 46: MARKET SHARE ANALYSIS OF TOP PLAYERS IN 2016 (%)
Figure 1: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2016 & 2026 (IN %)
Figure 2: REVENUE GENERATED BY BFSI SEGMENT IN ARTIFICIAL INTELLIGENCE MARKET, 2016 & 2026 (IN $ MILLION)
Figure 3: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, 2017-2026 (IN $ MILLION)
Figure 4: REVENUE GENERATED BY MACHINE LEARNING TECHNOLOGY IN ARTIFICIAL INTELLIGENCE MARKET, 2016 & 2026 (IN $ MILLION)
Figure 5: TIMELINE OF ARTIFICIAL INTELLIGENCE
Figure 6: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY OFFERINGS, 2016 & 2026 (IN %)
Figure 7: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY HARDWARE, 2017-2026 (IN $ MILLION)
Figure 8: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY SOFTWARE, 2017-2026 (IN $ MILLION)
Figure 9: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY SERVICES, 2017-2026 (IN $ MILLION)
Figure 10: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY SYSTEM, 2016 & 2026 (IN %)
Figure 11: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY INTELLIGENCE SYSTEMS, 2017-2026 (IN $ MILLION)
Figure 12: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY DECISION SUPPORT PROCESSING, 2017-2026 (IN $ MILLION)
Figure 13: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY HYBRID SYSTEMS, 2017-2026 (IN $ MILLION)
Figure 14: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY FUZZY SYSTEMS, 2017-2026 (IN $ MILLION)
Figure 15: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2016 & 2026 (IN %)
Figure 16: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY MACHINE LEARNING, 2017-2026 (IN $ MILLION)
Figure 17: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY ROBOTICS, 2017-2026 (IN $ MILLION)
Figure 18: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY IMAGE PROCESSING, 2017-2026 (IN $ MILLION)
Figure 19: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY SPEECH RECOGNITION, 2017-2026 (IN $ MILLION)
Figure 20: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY NATURAL LANGUAGE PROCESSING, 2017-2026 (IN $ MILLION)
Figure 21: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY COGNITIVE COMPUTING (OTHER TECHNOLOGY), 2017-2026 (IN $ MILLION)
Figure 22: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY VERTICALS, 2016 & 2026 (IN %)
Figure 23: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY & TELECOMMUNICATIONS, 2017-2026 (IN $ MILLION)
Figure 24: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY BANKING, FINANCIAL SERVICE & INSURANCE, 2017-2026 (IN $ MILLION)
Figure 25: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY RETAIL, 2017-2026 (IN $ MILLION)
Figure 26: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY MEDIA & ENTERTAINMENT, 2017-2026 (IN $ MILLION)
Figure 27: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY AUTOMOTIVE AND TRANSPORTATION, 2017-2026 (IN $ MILLION)
Figure 28: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY AGRICULTURE, 2017-2026 (IN $ MILLION)
Figure 29: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY RESOURCES & UTILITIES, 2017-2026 (IN $ MILLION)
Figure 30: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY MANUFACTURING, 2017-2026 (IN $ MILLION)
Figure 31: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY HEALTHCARE, 2017-2026 (IN $ MILLION)
Figure 32: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY EDUCATION, 2017-2026 (IN $ MILLION)
Figure 33: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, BY OTHER VERTICALS, 2017-2026 (IN $ MILLION)
Figure 34: PORTER’S FIVE FORCE MODEL OF ARTIFICIAL INTELLIGENCE MARKET
Figure 35: INVESTMENT VERSUS ADOPTION MODEL OF ARTIFICIAL INTELLIGENCE MARKET
Figure 36: KEY BUYING IMPACT ANALYSIS
Figure 37: VALUE CHAIN ANALYSIS OF ARTIFICIAL INTELLIGENCE MARKET
Figure 38: TECHNOLOGY SEGMENT-WISE INVESTMENT PROPOSITION FOR ARTIFICIAL INTELLIGENCE MARKET, 2016
Figure 39: ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, REGIONAL OUTLOOK, 2016 & 2026 (IN %)
Figure 40: CHINA ARTIFICIAL INTELLIGENCE MARKET, 2017-2026 (IN $ MILLION)
Figure 41: JAPAN ARTIFICIAL INTELLIGENCE MARKET, 2017-2026 (IN $ MILLION)
Figure 42: INDIA ARTIFICIAL INTELLIGENCE MARKET, 2017-2026 (IN $ MILLION)
Figure 43: SOUTH KOREA ARTIFICIAL INTELLIGENCE MARKET, 2017-2026 (IN $ MILLION)
Figure 44: AUSTRALIA ARTIFICIAL INTELLIGENCE MARKET, 2017-2026 (IN $ MILLION)
Figure 45: REST OF ASIA PACIFIC ARTIFICIAL INTELLIGENCE MARKET, 2017-2026 (IN $ MILLION)
Figure 46: MARKET SHARE ANALYSIS OF TOP PLAYERS IN 2016 (%)
