Market By Deployment Mode, Organization Size, Service And End-user | Forecast 2019-2027
As per a Triton research report, the Middle East and Africa market for machine learning is set to surge with a CAGR of 32.30% during the forecast years between 2019 and 2027.
The countries analyzed in the report on the Middle East and Africa’s machine learning market are:
• Turkey
• Saudi Arabia
• South Africa
• The United Arab Emirates
• Rest of MEA
The enhanced efforts by the government, such as investments in AI, as well as innovation – such as the launch of a humanoid robot based on ML algorithms, in Saudi Arabia – are driving the growth of the Middle East and Africa machine learning market.
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In the United Arab Emirates, the education, healthcare, aviation and oil & gas sectors are planning to integrate cognitive systems & AI in their operations. The central government in the UAE announced investing around $600 million for the development and innovation in the field of artificial intelligence in the country. In the year 2017, the central government, in 2017, launched an artificial strategy aimed at creating new innovations in the AI sector. It consists of a framework and plans to make investments in advanced technologies for the implementation of artificial intelligence tools like machine learning in the government sectors of healthcare and transportation.
In the year 2017, the Government of Saudi Arabia provided citizenship to a humanoid robot. This was the first such instance in the world, wherein, a country provided citizenship to a machine learning-based artificial intelligence device. All these factors are fueling the deployment and adoption of the market for machine learning in the Middle East and Africa.
International Business Machines Corporation is an integrated IT company that offers delivery & implementation services, consulting services, cloud & cognitive offerings, financing solutions and enterprise software systems. It caters to the communications, industrial, financial services and distribution business.
The company has a huge research & development facility and in 2016, it made investments close to $6 billion for R&D purposes, focusing on high-growth and high-value opportunities for the machine learning market. The rapid adoption of ML-powered solutions, due to their early implementation in the majority of verticals such as banking, financial services and insurance sectors, would create an opportunistic market for IBM in the coming years. IBM operates across the regions of the Americas, Europe, the Asia-Pacific, the Middle East and Africa.
Market by Technology (Data ana ..
VIEW REPORT1. MIDDLE
EAST AND AFRICA MACHINE LEARNING MARKET - SUMMARY
2. INDUSTRY
OUTLOOK
2.1. MARKET
DEFINITION
2.2. EVOLUTION
& TRANSITION OF MACHINE LEARNING
2.3. KEY
INSIGHTS
2.3.1. RISE
IN IMPLEMENTATION OF DATA-DRIVEN APPLICATIONS
2.3.2. AUGMENTED
DEMAND FOR INTELLIGENT BUSINESS PROCESSES
2.3.3. MACHINE
LEARNING START-UPS TRANSFORMING THE INDUSTRY
2.4. PORTER’S
FIVE FORCES ANALYSIS
2.4.1. BARGAINING
POWER OF BUYERS
2.4.2. BARGAINING
POWER OF SUPPLIERS
2.4.3. THREAT
OF NEW ENTRANTS
2.4.4. THREAT
OF SUBSTITUTE
2.4.5. THREAT
OF COMPETITIVE RIVALRY
2.5. KEY
IMPACT ANALYSIS
2.5.1. COST
2.5.2. APPLICATION
2.5.3. SCALABILITY
2.5.4. TRAINING
TIME
2.6. MARKET
ATTRACTIVENESS INDEX
2.7. VENDOR
SCORECARD
2.8. INDUSTRY
COMPONENTS
2.8.1. SOFTWARE
DEVELOPMENT
2.8.2. CLOUD
2.8.3. USERS
2.9. PATENT
ANALYSIS
2.10.
MARKET DRIVERS
2.10.1. EXPANDING
DATA VOLUME ACROSS THE WORLD
2.10.2. WIDENING
APPLICATION OF ML IN DIFFERENT END-USE INDUSTRIES
2.10.3. SIGNIFICANT
DEVELOPMENTS IN THE FIELD OF MACHINE LEARNING
2.11.
MARKET RESTRAINTS
2.11.1. DIFFICULTIES
IN PROTECTING SENSITIVE & PRIVATE DATA
2.11.2. COMPONENTS’
FAILURE MAY DISRUPT ML SERVICE
2.12.
MARKET OPPORTUNITIES
2.12.1. INCORPORATION
OF ARTIFICIAL INTELLIGENCE & MACHINE LEARNING WITH BIG DATA
2.12.2. DEVELOPMENT
OF SMART ROBOTS
2.12.3. INCREASING
ADOPTION OF IoT-CONNECTED DEVICES
2.13.
MARKET CHALLENGES
2.13.1. TECHNOLOGICAL
& COMPUTATIONAL BARRIERS
3. MIDDLE
EAST AND AFRICA MACHINE LEARNING MARKET OUTLOOK - BY DEPLOYMENT MODE
3.1. CLOUD
3.2. ON-PREMISES
4. MIDDLE
EAST AND AFRICA MACHINE LEARNING MARKET OUTLOOK - BY ORGANIZATION SIZE
4.1. LARGE
ENTERPRISES
4.2. SMALL
& MEDIUM-SIZED ENTERPRISES (SMEs)
5. MIDDLE
EAST AND AFRICA MACHINE LEARNING MARKET OUTLOOK - BY SERVICE
5.1. PROFESSIONAL
SERVICES
5.2. MANAGED
SERVICES
6. MIDDLE
EAST AND AFRICA MACHINE LEARNING MARKET OUTLOOK - BY END-USER
6.1. BANKING,
FINANCIAL SERVICES & INSURANCE (BFSI)
6.2. HEALTHCARE
& LIFE SCIENCES
6.3. RETAIL
6.4. TELECOMMUNICATION
6.5. GOVERNMENT
& DEFENSE
6.6. MANUFACTURING
6.7. MEDIA
& ADVERTISING
6.8. ENERGY
& UTILITIES
6.9. OTHER
END-USERS
7. MIDDLE
EAST AND AFRICA MACHINE LEARNING MARKET - REGIONAL OUTLOOK
7.1. UNITED
ARAB EMIRATES
7.2. TURKEY
7.3. SAUDI
ARABIA
7.4. SOUTH
AFRICA
7.5. REST
OF MIDDLE EAST & AFRICA
8. COMPETITIVE
LANDSCAPE
8.1. TIBCO
SOFTWARE, INC.
8.2. SAP
SE
8.3. ORACLE
CORPORATION
8.4. TERADATA
CORPORATION
8.5. AMAZON
WEB SERVICES, INC.
8.6. MICROSOFT
CORPORATION
8.7. INTEL
CORPORATION
8.8. FRACTAL
ANALYTICS
8.9. GOOGLE,
INC.
8.10.
BAIDU, INC.
8.11.
FAIR ISAAC CORPORATION (FICO)
8.12.
IBM CORPORATION (INTERNATIONAL
BUSINESS MACHINES)
8.13.
HEWLETT PACKARD ENTERPRISE
COMPANY (HPE)
8.14.
DELL TECHNOLOGIES, INC.
8.15.
CLARIVATE ANALYTICS LLC
(TRADEMARKVISION)
9. RESEARCH
METHODOLOGY & SCOPE
9.1. RESEARCH
SCOPE & DELIVERABLES
9.2. SOURCES
OF DATA
9.3. RESEARCH
METHODOLOGY
TABLE 1: MIDDLE EAST
AND AFRICA MACHINE LEARNING MARKET, BY COUNTRY, 2019-2027 (IN $ MILLION)
TABLE 2: EVOLUTION
& TRANSITION OF MACHINE LEARNING
TABLE 3: LIST OF
PROMINENT START-UPS IN MACHINE LEARNING
TABLE 4: VENDOR
SCORECARD
TABLE 5: PATENTS FILLED
IN MACHINE LEARNING BY KEY TECHNOLOGY COMPANIES, 2018
TABLE 6: TOP 20 FIRST
PATENT FILERS IN MACHINE LEARNING IN 2016
TABLE 7: MIDDLE EAST
AND AFRICA MACHINE LEARNING MARKET, BY DEPLOYMENT MODE, 2019-2027 (IN $
MILLION)
TABLE 8: MIDDLE EAST
AND AFRICA MACHINE LEARNING MARKET, BY ORGANIZATION SIZE, 2019-2027 (IN $
MILLION)
TABLE 9: MIDDLE EAST
AND AFRICA MACHINE LEARNING MARKET, BY SERVICE, 2019-2027 (IN $ MILLION)
TABLE 10: MIDDLE EAST
AND AFRICA MACHINE LEARNING MARKET, BY END-USER, 2019-2027 (IN $ MILLION)
TABLE 11: MIDDLE EAST
AND AFRICA MACHINE LEARNING MARKET, BY COUNTRY, 2019-2027 (IN $ MILLION)
FIGURE 1: KEY BUYING
IMPACT ANALYSIS
FIGURE 2: MARKET
ATTRACTIVENESS INDEX
FIGURE 3: INDUSTRY
COMPONENTS
FIGURE 4: VOLUME OF
DATA CREATED WORLDWIDE, 2010-2025 (IN ZETTABYTES)
FIGURE 5: NUMBER OF
CONNECTED DEVICES WORLDWIDE, 2015-2025
FIGURE 6: MIDDLE EAST
AND AFRICA MACHINE LEARNING MARKET, BY CLOUD, 2019-2027 (IN $ MILLION)
FIGURE 7: MIDDLE EAST
AND AFRICA MACHINE LEARNING MARKET, BY ON-PREMISES, 2019-2027 (IN $ MILLION)
FIGURE 8: MIDDLE EAST
AND AFRICA MACHINE LEARNING MARKET, BY LARGE ENTERPRISES, 2019-2027 (IN $
MILLION)
FIGURE 9: MIDDLE EAST
AND AFRICA MACHINE LEARNING MARKET, BY SMALL & MEDIUM-SIZED ENTERPRISES (SMEs),
2019-2027 (IN $ MILLION)
FIGURE 10: MIDDLE EAST
AND AFRICA MACHINE LEARNING MARKET, BY PROFESSIONAL SERVICES, 2019-2027 (IN $
MILLION)
FIGURE 11: MIDDLE EAST
AND AFRICA MACHINE LEARNING MARKET, BY MANAGED SERVICES, 2019-2027 (IN $
MILLION)
FIGURE 12: MIDDLE EAST
AND AFRICA MACHINE LEARNING MARKET, BY BANKING, FINANCIAL SERVICES &
INSURANCE (BFSI), 2019-2027 (IN $ MILLION)
FIGURE 13: MIDDLE EAST
AND AFRICA MACHINE LEARNING MARKET, BY HEALTHCARE & LIFE SCIENCES,
2019-2027 (IN $ MILLION)
FIGURE 14: MIDDLE EAST
AND AFRICA MACHINE LEARNING MARKET, BY RETAIL, 2019-2027 (IN $ MILLION)
FIGURE 15: MIDDLE EAST
AND AFRICA MACHINE LEARNING MARKET, BY TELECOMMUNICATION, 2019-2027 (IN $
MILLION)
FIGURE 16: MIDDLE EAST
AND AFRICA MACHINE LEARNING MARKET, BY GOVERNMENT & DEFENSE, 2019-2027 (IN
$ MILLION)
FIGURE 17: MIDDLE EAST
AND AFRICA MACHINE LEARNING MARKET, BY MANUFACTURING, 2019-2027 (IN $ MILLION)
FIGURE 18: MIDDLE EAST
AND AFRICA MACHINE LEARNING MARKET, BY MEDIA & ADVERTISING, 2019-2027 (IN $
MILLION)
FIGURE 19: MIDDLE EAST
AND AFRICA MACHINE LEARNING MARKET, BY ENERGY & UTILITIES, 2019-2027 (IN $
MILLION)
FIGURE 20: MIDDLE EAST
AND AFRICA MACHINE LEARNING MARKET, BY OTHER END-USERS, 2019-2027 (IN $
MILLION)
FIGURE 21: MIDDLE EAST
AND AFRICA MACHINE LEARNING MARKET, REGIONAL OUTLOOK, 2018 & 2027 (IN %)
FIGURE 22: UNITED ARAB
EMIRATES MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)
FIGURE 23: TURKEY
MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)
FIGURE 24: SAUDI ARABIA
MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)
FIGURE 25: SOUTH AFRICA
MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)
FIGURE 26: REST OF
MIDDLE EAST & AFRICA MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)