AI and Machine Learning in Business Market By Component (Solution, Services), By Enterprise Size (Large Enterprise, Small and Middle-sized Enterprise), By Application (Data Analytics, Predictive Analytics, Cyber Security, Supply Chain and Inventory Management, Others), By Industry Vertical (BFSI, IT and Telecom, Retail, Manufacturing and logistics, Energy sector and Utilities, Healthcare, Others): Global Opportunity Analysis and Industry Forecast, 2023-2032
In 2022, the global AI and machine learning in business market attained a value of $120.9 billion. Forecasts indicate that by 2032, it will rise t%li%$190.5 billion, with a CAGR of 32% from 2023 t%li%2032. The AI and machine learning in business market pertains t%li%the utilization of artificial intelligence and machine learning technologies t%li%enhance and automate various business operations and functions. This market encompasses a broad spectrum of activities, including customer service, marketing, sales, finance, operations, and human resources. By leveraging AI and machine learning technologies, businesses can analyze extensive datasets, identify patterns and trends, make forecasts, and automate tasks that traditionally require human intervention. Moreover, the proliferation of data generated by businesses has spurred the demand for advanced analytics tools t%li%extract valuable insights, further driving the adoption of AI and machine learning in business operations. This adoption has led t%li%improved efficiency, cost savings, and competitive advantages for businesses, with the continuous advancement of AI and machine learning technologies expected t%li%fuel further market growth.
Additionally, the expansion of the AI and machine learning in business market is attributed t%li%the uptake of AI-powered chatbots for customer service, the increasing utilization of predictive analytics for decision-making purposes, and the integration of AI operations int%li%cybersecurity t%li%identify and address threats. Moreover, the seamless integration of AI and machine learning int%li%business processes, coupled with a shift toward AI-driven automation and efficiency across various industries, is driving market growth within the business sector.
The surge in initiatives aimed at reducing costs, enhancing efficiency, and driving digital transformation initiatives serves as the primary driver for the growth of the AI and machine learning in business market. However, challenges related t%li%cost reduction and efficiency may impede market growth. Conversely, advancements in AI and machine learning technologies are expected t%li%present lucrative opportunities for market expansion during the forecast period.
The global AI and machine learning in business market is segmented on the basis of component, application, enterprise size, end user, and region. On the basis of component, the market is divided int%li%solutions and services. Depending on application, it is divided int%li%predictive analytics, data analytics, supply chain and inventory management, and others. Depending on enterprise size, it is fragmented int%li%large enterprises and small and medium-sized enterprises. On the basis of end user, the market is divided int%li%retail, IT and telecom, manufacturing & logistics, financial services, energy sector (oil & gas), healthcare and others. Region-wise, it is analyzed across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa.
On the basis of component, the solution segment dominated the AI and machine learning in business market in 2022 and is expected t%li%maintain its dominance in the upcoming years, owing t%li%its ability t%li%help businesses in streamlining their operation, enhancing decision-making procedures, and increasing the overall efficiency. Companies are using these solutions more frequently in order t%li%maintain their competitiveness in the quickly changing technological market, which propels the market growth significantly. However, the services segment is expected t%li%witness the highest growth, as it helps organizations leverage the data generated by the global AI and machine learning in business market t%li%optimize their operations, gain valuable insights, and make informed decisions.
The AI and machine learning in business market is segmented on the basis of component, application, enterprise size, end user, and region. On the basis of component, the market is divided int%li%solutions and services. Depending on application, it is divided int%li%predictive analytics, data analytics, supply chain and inventory management, and others. Depending on enterprise size, it is fragmented int%li%large enterprises and small and medium-sized enterprises. On the basis of end user, the market is divided int%li%retail, IT and telecom, manufacturing & logistics, financial services, energy sector (oil & gas), healthcare and others. Region-wise, it is analyzed across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa.
The key players operating in the market include Alibaba, Microsoft, Amazon, Google, IBM, Baidu, Tencent, Nvidia, Intel, and Salesforce. The report highlights the strategies of the key players t%li%improve the market share and sustain competition.
Key Benefits For Stakeholders
By Component
Additionally, the expansion of the AI and machine learning in business market is attributed t%li%the uptake of AI-powered chatbots for customer service, the increasing utilization of predictive analytics for decision-making purposes, and the integration of AI operations int%li%cybersecurity t%li%identify and address threats. Moreover, the seamless integration of AI and machine learning int%li%business processes, coupled with a shift toward AI-driven automation and efficiency across various industries, is driving market growth within the business sector.
The surge in initiatives aimed at reducing costs, enhancing efficiency, and driving digital transformation initiatives serves as the primary driver for the growth of the AI and machine learning in business market. However, challenges related t%li%cost reduction and efficiency may impede market growth. Conversely, advancements in AI and machine learning technologies are expected t%li%present lucrative opportunities for market expansion during the forecast period.
The global AI and machine learning in business market is segmented on the basis of component, application, enterprise size, end user, and region. On the basis of component, the market is divided int%li%solutions and services. Depending on application, it is divided int%li%predictive analytics, data analytics, supply chain and inventory management, and others. Depending on enterprise size, it is fragmented int%li%large enterprises and small and medium-sized enterprises. On the basis of end user, the market is divided int%li%retail, IT and telecom, manufacturing & logistics, financial services, energy sector (oil & gas), healthcare and others. Region-wise, it is analyzed across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa.
On the basis of component, the solution segment dominated the AI and machine learning in business market in 2022 and is expected t%li%maintain its dominance in the upcoming years, owing t%li%its ability t%li%help businesses in streamlining their operation, enhancing decision-making procedures, and increasing the overall efficiency. Companies are using these solutions more frequently in order t%li%maintain their competitiveness in the quickly changing technological market, which propels the market growth significantly. However, the services segment is expected t%li%witness the highest growth, as it helps organizations leverage the data generated by the global AI and machine learning in business market t%li%optimize their operations, gain valuable insights, and make informed decisions.
The AI and machine learning in business market is segmented on the basis of component, application, enterprise size, end user, and region. On the basis of component, the market is divided int%li%solutions and services. Depending on application, it is divided int%li%predictive analytics, data analytics, supply chain and inventory management, and others. Depending on enterprise size, it is fragmented int%li%large enterprises and small and medium-sized enterprises. On the basis of end user, the market is divided int%li%retail, IT and telecom, manufacturing & logistics, financial services, energy sector (oil & gas), healthcare and others. Region-wise, it is analyzed across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa.
The key players operating in the market include Alibaba, Microsoft, Amazon, Google, IBM, Baidu, Tencent, Nvidia, Intel, and Salesforce. The report highlights the strategies of the key players t%li%improve the market share and sustain competition.
Key Benefits For Stakeholders
- This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the ai and machine learning in business market analysis from 2022 t%li%2032 t%li%identify the prevailing ai and machine learning in business market opportunities.
- The market research is offered along with information related t%li%key drivers, restraints, and opportunities.
- Porter's five forces analysis highlights the potency of buyers and suppliers t%li%enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
- In-depth analysis of the ai and machine learning in business market segmentation assists t%li%determine the prevailing market opportunities.
- Major countries in each region are mapped according t%li%their revenue contribution t%li%the global market.
- Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
- The report includes the analysis of the regional as well as global ai and machine learning in business market trends, key players, market segments, application areas, and market growth strategies.
- Quarterly Update and* (only available with a corporate license, on listed price)
- 5 additional Company Profile of client Choice pre- or Post-purchase, as a free update.
- Free Upcoming Version on the Purchase of Five and Enterprise User License.
- 16 analyst hours of support* (post-purchase, if you find additional data requirements upon review of the report, you may receive support amounting t%li%16 analyst hours t%li%solve questions, and post-sale queries)
- 15% Free Customization* (in case the scope or segment of the report does not match your requirements, 15% is equivalent t%li%3 working days of free work, applicable once)
- Free data Pack on the Five and Enterprise User License. (Excel version of the report)
- Free Updated report if the report is 6-12 months old or older.
- 24-hour priority response*
- Free Industry updates and white papers.
- Upcoming/New Entrant by Regions
- Market share analysis of players by products/segments
- Regulatory Guidelines
- Strategic Recommendations
- Additional company profiles with specific t%li%client's interest
- Expanded list for Company Profiles
- Historic market data
- Key player details (including location, contact details, supplier/vendor network etc. in excel format)
- Market share analysis of players at global/region/country level
- SWOT Analysis
By Component
- Solution
- Services
- Large Enterprise
- Small and Middle-sized Enterprise
- Predictive Analytics
- Cyber Security
- Supply Chain and Inventory Management
- Others
- Data Analytics
- BFSI
- IT and Telecom
- Retail
- Manufacturing and logistics
- Energy sector and Utilities
- Healthcare
- Others
- North America
- U.S.
- Mexico
- Canada
- Europe
- UK
- Germany
- France
- Italy
- Spain
- Rest of Europe
- Asia-Pacific
- China
- Japan
- India
- Australia
- South Korea
- Rest of Asia-Pacific
- Latin America
- Brazil
- Argentina
- Colombia
- Rest of Latin America
- Middle East and Africa
- Saudi Arabia
- South Africa
- UAE
- Rest of Middle East And Africa
- Key Market Players
- Alibaba
- Microsoft Corporation
- Amazon
- Alphabet Inc. (Google LLC)
- IBM
- Baidu
- Tencent
- Nvidia
- Intel Corporation.
- Salesforce Inc.
CHAPTER 1: INTRODUCTION
1.1. Report description
1.2. Key market segments
1.3. Key benefits to the stakeholders
1.4. Research methodology
1.4.1. Primary research
1.4.2. Secondary research
1.4.3. Analyst tools and models
CHAPTER 2: EXECUTIVE SUMMARY
2.1. CXO perspective
CHAPTER 3: MARKET OVERVIEW
3.1. Market definition and scope
3.2. Key findings
3.2.1. Top impacting factors
3.2.2. Top investment pockets
3.3. Porter’s five forces analysis
3.4. Market dynamics
3.4.1. Drivers
3.4.2. Restraints
3.4.3. Opportunities
CHAPTER 4: AI AND MACHINE LEARNING IN BUSINESS MARKET, BY COMPONENT
4.1. Overview
4.1.1. Market size and forecast
4.2. Solution
4.2.1. Key market trends, growth factors and opportunities
4.2.2. Market size and forecast, by region
4.2.3. Market share analysis by country
4.3. Services
4.3.1. Key market trends, growth factors and opportunities
4.3.2. Market size and forecast, by region
4.3.3. Market share analysis by country
CHAPTER 5: AI AND MACHINE LEARNING IN BUSINESS MARKET, BY ENTERPRISE SIZE
5.1. Overview
5.1.1. Market size and forecast
5.2. Large Enterprise
5.2.1. Key market trends, growth factors and opportunities
5.2.2. Market size and forecast, by region
5.2.3. Market share analysis by country
5.3. Small and Middle-sized Enterprise
5.3.1. Key market trends, growth factors and opportunities
5.3.2. Market size and forecast, by region
5.3.3. Market share analysis by country
CHAPTER 6: AI AND MACHINE LEARNING IN BUSINESS MARKET, BY APPLICATION
6.1. Overview
6.1.1. Market size and forecast
6.2. Data Analytics
6.2.1. Key market trends, growth factors and opportunities
6.2.2. Market size and forecast, by region
6.2.3. Market share analysis by country
6.3. Predictive Analytics
6.3.1. Key market trends, growth factors and opportunities
6.3.2. Market size and forecast, by region
6.3.3. Market share analysis by country
6.4. Cyber Security
6.4.1. Key market trends, growth factors and opportunities
6.4.2. Market size and forecast, by region
6.4.3. Market share analysis by country
6.5. Supply Chain and Inventory Management
6.5.1. Key market trends, growth factors and opportunities
6.5.2. Market size and forecast, by region
6.5.3. Market share analysis by country
6.6. Others
6.6.1. Key market trends, growth factors and opportunities
6.6.2. Market size and forecast, by region
6.6.3. Market share analysis by country
CHAPTER 7: AI AND MACHINE LEARNING IN BUSINESS MARKET, BY INDUSTRY VERTICAL
7.1. Overview
7.1.1. Market size and forecast
7.2. BFSI
7.2.1. Key market trends, growth factors and opportunities
7.2.2. Market size and forecast, by region
7.2.3. Market share analysis by country
7.3. IT and Telecom
7.3.1. Key market trends, growth factors and opportunities
7.3.2. Market size and forecast, by region
7.3.3. Market share analysis by country
7.4. Retail
7.4.1. Key market trends, growth factors and opportunities
7.4.2. Market size and forecast, by region
7.4.3. Market share analysis by country
7.5. Manufacturing and logistics
7.5.1. Key market trends, growth factors and opportunities
7.5.2. Market size and forecast, by region
7.5.3. Market share analysis by country
7.6. Energy sector and Utilities
7.6.1. Key market trends, growth factors and opportunities
7.6.2. Market size and forecast, by region
7.6.3. Market share analysis by country
7.7. Healthcare
7.7.1. Key market trends, growth factors and opportunities
7.7.2. Market size and forecast, by region
7.7.3. Market share analysis by country
7.8. Others
7.8.1. Key market trends, growth factors and opportunities
7.8.2. Market size and forecast, by region
7.8.3. Market share analysis by country
CHAPTER 8: AI AND MACHINE LEARNING IN BUSINESS MARKET, BY REGION
8.1. Overview
8.1.1. Market size and forecast By Region
8.2. North America
8.2.1. Key market trends, growth factors and opportunities
8.2.2. Market size and forecast, by Component
8.2.3. Market size and forecast, by Enterprise Size
8.2.4. Market size and forecast, by Application
8.2.5. Market size and forecast, by Industry Vertical
8.2.6. Market size and forecast, by country
8.2.6.1. U.S.
8.2.6.1.1. Market size and forecast, by Component
8.2.6.1.2. Market size and forecast, by Enterprise Size
8.2.6.1.3. Market size and forecast, by Application
8.2.6.1.4. Market size and forecast, by Industry Vertical
8.2.6.2. Mexico
8.2.6.2.1. Market size and forecast, by Component
8.2.6.2.2. Market size and forecast, by Enterprise Size
8.2.6.2.3. Market size and forecast, by Application
8.2.6.2.4. Market size and forecast, by Industry Vertical
8.2.6.3. Canada
8.2.6.3.1. Market size and forecast, by Component
8.2.6.3.2. Market size and forecast, by Enterprise Size
8.2.6.3.3. Market size and forecast, by Application
8.2.6.3.4. Market size and forecast, by Industry Vertical
8.3. Europe
8.3.1. Key market trends, growth factors and opportunities
8.3.2. Market size and forecast, by Component
8.3.3. Market size and forecast, by Enterprise Size
8.3.4. Market size and forecast, by Application
8.3.5. Market size and forecast, by Industry Vertical
8.3.6. Market size and forecast, by country
8.3.6.1. UK
8.3.6.1.1. Market size and forecast, by Component
8.3.6.1.2. Market size and forecast, by Enterprise Size
8.3.6.1.3. Market size and forecast, by Application
8.3.6.1.4. Market size and forecast, by Industry Vertical
8.3.6.2. Germany
8.3.6.2.1. Market size and forecast, by Component
8.3.6.2.2. Market size and forecast, by Enterprise Size
8.3.6.2.3. Market size and forecast, by Application
8.3.6.2.4. Market size and forecast, by Industry Vertical
8.3.6.3. France
8.3.6.3.1. Market size and forecast, by Component
8.3.6.3.2. Market size and forecast, by Enterprise Size
8.3.6.3.3. Market size and forecast, by Application
8.3.6.3.4. Market size and forecast, by Industry Vertical
8.3.6.4. Italy
8.3.6.4.1. Market size and forecast, by Component
8.3.6.4.2. Market size and forecast, by Enterprise Size
8.3.6.4.3. Market size and forecast, by Application
8.3.6.4.4. Market size and forecast, by Industry Vertical
8.3.6.5. Spain
8.3.6.5.1. Market size and forecast, by Component
8.3.6.5.2. Market size and forecast, by Enterprise Size
8.3.6.5.3. Market size and forecast, by Application
8.3.6.5.4. Market size and forecast, by Industry Vertical
8.3.6.6. Rest of Europe
8.3.6.6.1. Market size and forecast, by Component
8.3.6.6.2. Market size and forecast, by Enterprise Size
8.3.6.6.3. Market size and forecast, by Application
8.3.6.6.4. Market size and forecast, by Industry Vertical
8.4. Asia-Pacific
8.4.1. Key market trends, growth factors and opportunities
8.4.2. Market size and forecast, by Component
8.4.3. Market size and forecast, by Enterprise Size
8.4.4. Market size and forecast, by Application
8.4.5. Market size and forecast, by Industry Vertical
8.4.6. Market size and forecast, by country
8.4.6.1. China
8.4.6.1.1. Market size and forecast, by Component
8.4.6.1.2. Market size and forecast, by Enterprise Size
8.4.6.1.3. Market size and forecast, by Application
8.4.6.1.4. Market size and forecast, by Industry Vertical
8.4.6.2. Japan
8.4.6.2.1. Market size and forecast, by Component
8.4.6.2.2. Market size and forecast, by Enterprise Size
8.4.6.2.3. Market size and forecast, by Application
8.4.6.2.4. Market size and forecast, by Industry Vertical
8.4.6.3. India
8.4.6.3.1. Market size and forecast, by Component
8.4.6.3.2. Market size and forecast, by Enterprise Size
8.4.6.3.3. Market size and forecast, by Application
8.4.6.3.4. Market size and forecast, by Industry Vertical
8.4.6.4. Australia
8.4.6.4.1. Market size and forecast, by Component
8.4.6.4.2. Market size and forecast, by Enterprise Size
8.4.6.4.3. Market size and forecast, by Application
8.4.6.4.4. Market size and forecast, by Industry Vertical
8.4.6.5. South Korea
8.4.6.5.1. Market size and forecast, by Component
8.4.6.5.2. Market size and forecast, by Enterprise Size
8.4.6.5.3. Market size and forecast, by Application
8.4.6.5.4. Market size and forecast, by Industry Vertical
8.4.6.6. Rest of Asia-Pacific
8.4.6.6.1. Market size and forecast, by Component
8.4.6.6.2. Market size and forecast, by Enterprise Size
8.4.6.6.3. Market size and forecast, by Application
8.4.6.6.4. Market size and forecast, by Industry Vertical
8.5. Latin America
8.5.1. Key market trends, growth factors and opportunities
8.5.2. Market size and forecast, by Component
8.5.3. Market size and forecast, by Enterprise Size
8.5.4. Market size and forecast, by Application
8.5.5. Market size and forecast, by Industry Vertical
8.5.6. Market size and forecast, by country
8.5.6.1. Brazil
8.5.6.1.1. Market size and forecast, by Component
8.5.6.1.2. Market size and forecast, by Enterprise Size
8.5.6.1.3. Market size and forecast, by Application
8.5.6.1.4. Market size and forecast, by Industry Vertical
8.5.6.2. Argentina
8.5.6.2.1. Market size and forecast, by Component
8.5.6.2.2. Market size and forecast, by Enterprise Size
8.5.6.2.3. Market size and forecast, by Application
8.5.6.2.4. Market size and forecast, by Industry Vertical
8.5.6.3. Colombia
8.5.6.3.1. Market size and forecast, by Component
8.5.6.3.2. Market size and forecast, by Enterprise Size
8.5.6.3.3. Market size and forecast, by Application
8.5.6.3.4. Market size and forecast, by Industry Vertical
8.5.6.4. Rest of Latin America
8.5.6.4.1. Market size and forecast, by Component
8.5.6.4.2. Market size and forecast, by Enterprise Size
8.5.6.4.3. Market size and forecast, by Application
8.5.6.4.4. Market size and forecast, by Industry Vertical
8.6. Middle East and Africa
8.6.1. Key market trends, growth factors and opportunities
8.6.2. Market size and forecast, by Component
8.6.3. Market size and forecast, by Enterprise Size
8.6.4. Market size and forecast, by Application
8.6.5. Market size and forecast, by Industry Vertical
8.6.6. Market size and forecast, by country
8.6.6.1. Saudi Arabia
8.6.6.1.1. Market size and forecast, by Component
8.6.6.1.2. Market size and forecast, by Enterprise Size
8.6.6.1.3. Market size and forecast, by Application
8.6.6.1.4. Market size and forecast, by Industry Vertical
8.6.6.2. South Africa
8.6.6.2.1. Market size and forecast, by Component
8.6.6.2.2. Market size and forecast, by Enterprise Size
8.6.6.2.3. Market size and forecast, by Application
8.6.6.2.4. Market size and forecast, by Industry Vertical
8.6.6.3. UAE
8.6.6.3.1. Market size and forecast, by Component
8.6.6.3.2. Market size and forecast, by Enterprise Size
8.6.6.3.3. Market size and forecast, by Application
8.6.6.3.4. Market size and forecast, by Industry Vertical
8.6.6.4. Rest of Middle East And Africa
8.6.6.4.1. Market size and forecast, by Component
8.6.6.4.2. Market size and forecast, by Enterprise Size
8.6.6.4.3. Market size and forecast, by Application
8.6.6.4.4. Market size and forecast, by Industry Vertical
CHAPTER 9: COMPETITIVE LANDSCAPE
9.1. Introduction
9.2. Top winning strategies
9.3. Product mapping of top 10 player
9.4. Competitive dashboard
9.5. Competitive heatmap
9.6. Top player positioning, 2022
CHAPTER 10: COMPANY PROFILES
10.1. Alibaba
10.1.1. Company overview
10.1.2. Key executives
10.1.3. Company snapshot
10.1.4. Operating business segments
10.1.5. Product portfolio
10.1.6. Business performance
10.1.7. Key strategic moves and developments
10.2. Microsoft Corporation
10.2.1. Company overview
10.2.2. Key executives
10.2.3. Company snapshot
10.2.4. Operating business segments
10.2.5. Product portfolio
10.2.6. Business performance
10.2.7. Key strategic moves and developments
10.3. Amazon
10.3.1. Company overview
10.3.2. Key executives
10.3.3. Company snapshot
10.3.4. Operating business segments
10.3.5. Product portfolio
10.3.6. Business performance
10.3.7. Key strategic moves and developments
10.4. Alphabet Inc. (Google LLC)
10.4.1. Company overview
10.4.2. Key executives
10.4.3. Company snapshot
10.4.4. Operating business segments
10.4.5. Product portfolio
10.4.6. Business performance
10.4.7. Key strategic moves and developments
10.5. IBM
10.5.1. Company overview
10.5.2. Key executives
10.5.3. Company snapshot
10.5.4. Operating business segments
10.5.5. Product portfolio
10.5.6. Business performance
10.5.7. Key strategic moves and developments
10.6. Baidu
10.6.1. Company overview
10.6.2. Key executives
10.6.3. Company snapshot
10.6.4. Operating business segments
10.6.5. Product portfolio
10.6.6. Business performance
10.6.7. Key strategic moves and developments
10.7. Tencent
10.7.1. Company overview
10.7.2. Key executives
10.7.3. Company snapshot
10.7.4. Operating business segments
10.7.5. Product portfolio
10.7.6. Business performance
10.7.7. Key strategic moves and developments
10.8. Nvidia
10.8.1. Company overview
10.8.2. Key executives
10.8.3. Company snapshot
10.8.4. Operating business segments
10.8.5. Product portfolio
10.8.6. Business performance
10.8.7. Key strategic moves and developments
10.9. Intel Corporation.
10.9.1. Company overview
10.9.2. Key executives
10.9.3. Company snapshot
10.9.4. Operating business segments
10.9.5. Product portfolio
10.9.6. Business performance
10.9.7. Key strategic moves and developments
10.10. Salesforce Inc.
10.10.1. Company overview
10.10.2. Key executives
10.10.3. Company snapshot
10.10.4. Operating business segments
10.10.5. Product portfolio
10.10.6. Business performance
10.10.7. Key strategic moves and developments
1.1. Report description
1.2. Key market segments
1.3. Key benefits to the stakeholders
1.4. Research methodology
1.4.1. Primary research
1.4.2. Secondary research
1.4.3. Analyst tools and models
CHAPTER 2: EXECUTIVE SUMMARY
2.1. CXO perspective
CHAPTER 3: MARKET OVERVIEW
3.1. Market definition and scope
3.2. Key findings
3.2.1. Top impacting factors
3.2.2. Top investment pockets
3.3. Porter’s five forces analysis
3.4. Market dynamics
3.4.1. Drivers
3.4.2. Restraints
3.4.3. Opportunities
CHAPTER 4: AI AND MACHINE LEARNING IN BUSINESS MARKET, BY COMPONENT
4.1. Overview
4.1.1. Market size and forecast
4.2. Solution
4.2.1. Key market trends, growth factors and opportunities
4.2.2. Market size and forecast, by region
4.2.3. Market share analysis by country
4.3. Services
4.3.1. Key market trends, growth factors and opportunities
4.3.2. Market size and forecast, by region
4.3.3. Market share analysis by country
CHAPTER 5: AI AND MACHINE LEARNING IN BUSINESS MARKET, BY ENTERPRISE SIZE
5.1. Overview
5.1.1. Market size and forecast
5.2. Large Enterprise
5.2.1. Key market trends, growth factors and opportunities
5.2.2. Market size and forecast, by region
5.2.3. Market share analysis by country
5.3. Small and Middle-sized Enterprise
5.3.1. Key market trends, growth factors and opportunities
5.3.2. Market size and forecast, by region
5.3.3. Market share analysis by country
CHAPTER 6: AI AND MACHINE LEARNING IN BUSINESS MARKET, BY APPLICATION
6.1. Overview
6.1.1. Market size and forecast
6.2. Data Analytics
6.2.1. Key market trends, growth factors and opportunities
6.2.2. Market size and forecast, by region
6.2.3. Market share analysis by country
6.3. Predictive Analytics
6.3.1. Key market trends, growth factors and opportunities
6.3.2. Market size and forecast, by region
6.3.3. Market share analysis by country
6.4. Cyber Security
6.4.1. Key market trends, growth factors and opportunities
6.4.2. Market size and forecast, by region
6.4.3. Market share analysis by country
6.5. Supply Chain and Inventory Management
6.5.1. Key market trends, growth factors and opportunities
6.5.2. Market size and forecast, by region
6.5.3. Market share analysis by country
6.6. Others
6.6.1. Key market trends, growth factors and opportunities
6.6.2. Market size and forecast, by region
6.6.3. Market share analysis by country
CHAPTER 7: AI AND MACHINE LEARNING IN BUSINESS MARKET, BY INDUSTRY VERTICAL
7.1. Overview
7.1.1. Market size and forecast
7.2. BFSI
7.2.1. Key market trends, growth factors and opportunities
7.2.2. Market size and forecast, by region
7.2.3. Market share analysis by country
7.3. IT and Telecom
7.3.1. Key market trends, growth factors and opportunities
7.3.2. Market size and forecast, by region
7.3.3. Market share analysis by country
7.4. Retail
7.4.1. Key market trends, growth factors and opportunities
7.4.2. Market size and forecast, by region
7.4.3. Market share analysis by country
7.5. Manufacturing and logistics
7.5.1. Key market trends, growth factors and opportunities
7.5.2. Market size and forecast, by region
7.5.3. Market share analysis by country
7.6. Energy sector and Utilities
7.6.1. Key market trends, growth factors and opportunities
7.6.2. Market size and forecast, by region
7.6.3. Market share analysis by country
7.7. Healthcare
7.7.1. Key market trends, growth factors and opportunities
7.7.2. Market size and forecast, by region
7.7.3. Market share analysis by country
7.8. Others
7.8.1. Key market trends, growth factors and opportunities
7.8.2. Market size and forecast, by region
7.8.3. Market share analysis by country
CHAPTER 8: AI AND MACHINE LEARNING IN BUSINESS MARKET, BY REGION
8.1. Overview
8.1.1. Market size and forecast By Region
8.2. North America
8.2.1. Key market trends, growth factors and opportunities
8.2.2. Market size and forecast, by Component
8.2.3. Market size and forecast, by Enterprise Size
8.2.4. Market size and forecast, by Application
8.2.5. Market size and forecast, by Industry Vertical
8.2.6. Market size and forecast, by country
8.2.6.1. U.S.
8.2.6.1.1. Market size and forecast, by Component
8.2.6.1.2. Market size and forecast, by Enterprise Size
8.2.6.1.3. Market size and forecast, by Application
8.2.6.1.4. Market size and forecast, by Industry Vertical
8.2.6.2. Mexico
8.2.6.2.1. Market size and forecast, by Component
8.2.6.2.2. Market size and forecast, by Enterprise Size
8.2.6.2.3. Market size and forecast, by Application
8.2.6.2.4. Market size and forecast, by Industry Vertical
8.2.6.3. Canada
8.2.6.3.1. Market size and forecast, by Component
8.2.6.3.2. Market size and forecast, by Enterprise Size
8.2.6.3.3. Market size and forecast, by Application
8.2.6.3.4. Market size and forecast, by Industry Vertical
8.3. Europe
8.3.1. Key market trends, growth factors and opportunities
8.3.2. Market size and forecast, by Component
8.3.3. Market size and forecast, by Enterprise Size
8.3.4. Market size and forecast, by Application
8.3.5. Market size and forecast, by Industry Vertical
8.3.6. Market size and forecast, by country
8.3.6.1. UK
8.3.6.1.1. Market size and forecast, by Component
8.3.6.1.2. Market size and forecast, by Enterprise Size
8.3.6.1.3. Market size and forecast, by Application
8.3.6.1.4. Market size and forecast, by Industry Vertical
8.3.6.2. Germany
8.3.6.2.1. Market size and forecast, by Component
8.3.6.2.2. Market size and forecast, by Enterprise Size
8.3.6.2.3. Market size and forecast, by Application
8.3.6.2.4. Market size and forecast, by Industry Vertical
8.3.6.3. France
8.3.6.3.1. Market size and forecast, by Component
8.3.6.3.2. Market size and forecast, by Enterprise Size
8.3.6.3.3. Market size and forecast, by Application
8.3.6.3.4. Market size and forecast, by Industry Vertical
8.3.6.4. Italy
8.3.6.4.1. Market size and forecast, by Component
8.3.6.4.2. Market size and forecast, by Enterprise Size
8.3.6.4.3. Market size and forecast, by Application
8.3.6.4.4. Market size and forecast, by Industry Vertical
8.3.6.5. Spain
8.3.6.5.1. Market size and forecast, by Component
8.3.6.5.2. Market size and forecast, by Enterprise Size
8.3.6.5.3. Market size and forecast, by Application
8.3.6.5.4. Market size and forecast, by Industry Vertical
8.3.6.6. Rest of Europe
8.3.6.6.1. Market size and forecast, by Component
8.3.6.6.2. Market size and forecast, by Enterprise Size
8.3.6.6.3. Market size and forecast, by Application
8.3.6.6.4. Market size and forecast, by Industry Vertical
8.4. Asia-Pacific
8.4.1. Key market trends, growth factors and opportunities
8.4.2. Market size and forecast, by Component
8.4.3. Market size and forecast, by Enterprise Size
8.4.4. Market size and forecast, by Application
8.4.5. Market size and forecast, by Industry Vertical
8.4.6. Market size and forecast, by country
8.4.6.1. China
8.4.6.1.1. Market size and forecast, by Component
8.4.6.1.2. Market size and forecast, by Enterprise Size
8.4.6.1.3. Market size and forecast, by Application
8.4.6.1.4. Market size and forecast, by Industry Vertical
8.4.6.2. Japan
8.4.6.2.1. Market size and forecast, by Component
8.4.6.2.2. Market size and forecast, by Enterprise Size
8.4.6.2.3. Market size and forecast, by Application
8.4.6.2.4. Market size and forecast, by Industry Vertical
8.4.6.3. India
8.4.6.3.1. Market size and forecast, by Component
8.4.6.3.2. Market size and forecast, by Enterprise Size
8.4.6.3.3. Market size and forecast, by Application
8.4.6.3.4. Market size and forecast, by Industry Vertical
8.4.6.4. Australia
8.4.6.4.1. Market size and forecast, by Component
8.4.6.4.2. Market size and forecast, by Enterprise Size
8.4.6.4.3. Market size and forecast, by Application
8.4.6.4.4. Market size and forecast, by Industry Vertical
8.4.6.5. South Korea
8.4.6.5.1. Market size and forecast, by Component
8.4.6.5.2. Market size and forecast, by Enterprise Size
8.4.6.5.3. Market size and forecast, by Application
8.4.6.5.4. Market size and forecast, by Industry Vertical
8.4.6.6. Rest of Asia-Pacific
8.4.6.6.1. Market size and forecast, by Component
8.4.6.6.2. Market size and forecast, by Enterprise Size
8.4.6.6.3. Market size and forecast, by Application
8.4.6.6.4. Market size and forecast, by Industry Vertical
8.5. Latin America
8.5.1. Key market trends, growth factors and opportunities
8.5.2. Market size and forecast, by Component
8.5.3. Market size and forecast, by Enterprise Size
8.5.4. Market size and forecast, by Application
8.5.5. Market size and forecast, by Industry Vertical
8.5.6. Market size and forecast, by country
8.5.6.1. Brazil
8.5.6.1.1. Market size and forecast, by Component
8.5.6.1.2. Market size and forecast, by Enterprise Size
8.5.6.1.3. Market size and forecast, by Application
8.5.6.1.4. Market size and forecast, by Industry Vertical
8.5.6.2. Argentina
8.5.6.2.1. Market size and forecast, by Component
8.5.6.2.2. Market size and forecast, by Enterprise Size
8.5.6.2.3. Market size and forecast, by Application
8.5.6.2.4. Market size and forecast, by Industry Vertical
8.5.6.3. Colombia
8.5.6.3.1. Market size and forecast, by Component
8.5.6.3.2. Market size and forecast, by Enterprise Size
8.5.6.3.3. Market size and forecast, by Application
8.5.6.3.4. Market size and forecast, by Industry Vertical
8.5.6.4. Rest of Latin America
8.5.6.4.1. Market size and forecast, by Component
8.5.6.4.2. Market size and forecast, by Enterprise Size
8.5.6.4.3. Market size and forecast, by Application
8.5.6.4.4. Market size and forecast, by Industry Vertical
8.6. Middle East and Africa
8.6.1. Key market trends, growth factors and opportunities
8.6.2. Market size and forecast, by Component
8.6.3. Market size and forecast, by Enterprise Size
8.6.4. Market size and forecast, by Application
8.6.5. Market size and forecast, by Industry Vertical
8.6.6. Market size and forecast, by country
8.6.6.1. Saudi Arabia
8.6.6.1.1. Market size and forecast, by Component
8.6.6.1.2. Market size and forecast, by Enterprise Size
8.6.6.1.3. Market size and forecast, by Application
8.6.6.1.4. Market size and forecast, by Industry Vertical
8.6.6.2. South Africa
8.6.6.2.1. Market size and forecast, by Component
8.6.6.2.2. Market size and forecast, by Enterprise Size
8.6.6.2.3. Market size and forecast, by Application
8.6.6.2.4. Market size and forecast, by Industry Vertical
8.6.6.3. UAE
8.6.6.3.1. Market size and forecast, by Component
8.6.6.3.2. Market size and forecast, by Enterprise Size
8.6.6.3.3. Market size and forecast, by Application
8.6.6.3.4. Market size and forecast, by Industry Vertical
8.6.6.4. Rest of Middle East And Africa
8.6.6.4.1. Market size and forecast, by Component
8.6.6.4.2. Market size and forecast, by Enterprise Size
8.6.6.4.3. Market size and forecast, by Application
8.6.6.4.4. Market size and forecast, by Industry Vertical
CHAPTER 9: COMPETITIVE LANDSCAPE
9.1. Introduction
9.2. Top winning strategies
9.3. Product mapping of top 10 player
9.4. Competitive dashboard
9.5. Competitive heatmap
9.6. Top player positioning, 2022
CHAPTER 10: COMPANY PROFILES
10.1. Alibaba
10.1.1. Company overview
10.1.2. Key executives
10.1.3. Company snapshot
10.1.4. Operating business segments
10.1.5. Product portfolio
10.1.6. Business performance
10.1.7. Key strategic moves and developments
10.2. Microsoft Corporation
10.2.1. Company overview
10.2.2. Key executives
10.2.3. Company snapshot
10.2.4. Operating business segments
10.2.5. Product portfolio
10.2.6. Business performance
10.2.7. Key strategic moves and developments
10.3. Amazon
10.3.1. Company overview
10.3.2. Key executives
10.3.3. Company snapshot
10.3.4. Operating business segments
10.3.5. Product portfolio
10.3.6. Business performance
10.3.7. Key strategic moves and developments
10.4. Alphabet Inc. (Google LLC)
10.4.1. Company overview
10.4.2. Key executives
10.4.3. Company snapshot
10.4.4. Operating business segments
10.4.5. Product portfolio
10.4.6. Business performance
10.4.7. Key strategic moves and developments
10.5. IBM
10.5.1. Company overview
10.5.2. Key executives
10.5.3. Company snapshot
10.5.4. Operating business segments
10.5.5. Product portfolio
10.5.6. Business performance
10.5.7. Key strategic moves and developments
10.6. Baidu
10.6.1. Company overview
10.6.2. Key executives
10.6.3. Company snapshot
10.6.4. Operating business segments
10.6.5. Product portfolio
10.6.6. Business performance
10.6.7. Key strategic moves and developments
10.7. Tencent
10.7.1. Company overview
10.7.2. Key executives
10.7.3. Company snapshot
10.7.4. Operating business segments
10.7.5. Product portfolio
10.7.6. Business performance
10.7.7. Key strategic moves and developments
10.8. Nvidia
10.8.1. Company overview
10.8.2. Key executives
10.8.3. Company snapshot
10.8.4. Operating business segments
10.8.5. Product portfolio
10.8.6. Business performance
10.8.7. Key strategic moves and developments
10.9. Intel Corporation.
10.9.1. Company overview
10.9.2. Key executives
10.9.3. Company snapshot
10.9.4. Operating business segments
10.9.5. Product portfolio
10.9.6. Business performance
10.9.7. Key strategic moves and developments
10.10. Salesforce Inc.
10.10.1. Company overview
10.10.2. Key executives
10.10.3. Company snapshot
10.10.4. Operating business segments
10.10.5. Product portfolio
10.10.6. Business performance
10.10.7. Key strategic moves and developments
