AI and Machine Learning in Business Market By Component, By Enterprise Size, By Application, By Industry Vertical : Global Opportunity Analysis and Industry Forecast, 2023-2032

Description

List of Tables

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 to $190.5 billion, with a CAGR of 32% from 2023 to 2032. The AI and machine learning in business market pertains to the utilization of artificial intelligence and machine learning technologies to 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 to extract valuable insights, further driving the adoption of AI and machine learning in business operations. This adoption has led to improved efficiency, cost savings, and competitive advantages for businesses, with the continuous advancement of AI and machine learning technologies expected to fuel further market growth.

AI and Machine Learning in Business Market - IMG1

Additionally, the expansion of the AI and machine learning in business market is attributed to 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 into cybersecurity to identify and address threats. Moreover, the seamless integration of AI and machine learning into 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 to cost reduction and efficiency may impede market growth. Conversely, advancements in AI and machine learning technologies are expected to 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 into solutions and services. Depending on application, it is divided into predictive analytics, data analytics, supply chain and inventory management, and others. Depending on enterprise size, it is fragmented into large enterprises and small and medium-sized enterprises. On the basis of end user, the market is divided into 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 to maintain its dominance in the upcoming years, owing to its ability to help businesses in streamlining their operation, enhancing decision-making procedures, and increasing the overall efficiency. Companies are using these solutions more frequently in order to maintain their competitiveness in the quickly changing technological market, which propels the market growth significantly. However, the services segment is expected to witness the highest growth, as it helps organizations leverage the data generated by the global AI and machine learning in business market to optimize their operations, gain valuable insights, and make informed decisions.

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 to 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 to 2032 to identify the prevailing ai and machine learning in business market opportunities.
The market research is offered along with information related to key drivers, restraints, and opportunities.
Porter's five forces analysis highlights the potency of buyers and suppliers to 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 to determine the prevailing market opportunities.
Major countries in each region are mapped according to their revenue contribution to 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.

Additional benefits you will get with this purchase are:

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 to 16 analyst hours to 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 to 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.

Possible Customization with this report (with additional cost and timeline, please talk to the sales executive to know more)

Upcoming/New Entrant by Regions
Market share analysis of players by products/segments
Regulatory Guidelines
Strategic Recommendations
Additional company profiles with specific to 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

Key Market Segments

By Component

Solution
Services

By Enterprise Size

Large Enterprise
Small and Middle-sized Enterprise

By Application

Predictive Analytics
Cyber Security
Supply Chain and Inventory Management
Others
Data Analytics

By Industry Vertical

BFSI
IT and Telecom
Retail
Manufacturing and logistics
Energy sector and Utilities
Healthcare
Others

By Region

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.

Product Code: A323199

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