Enterprise AI Market Overview
Enterprise AI is a category of enterprise software that harnesses advanced artificial intelligence techniques to drive digital transformation. AI can be beneficial to enterprises in various ways in which organizations communicate & reform their processes, involve customers, and assess the sales process. Some of the major industry sectors already utilizing artificial intelligence include government, retail, financial services, manufacturing, automotive, and advertising.
The global Enterprise AI market is expected to grow at a considerable rate in the forthcoming years. The increasing demand for AI-based cognitive solutions and the necessity for analyzing complex data sets in data-sensitive companies are the main factors that boost the growth of the Enterprise AI market. Additionally, Substantial development in machine learning algorithms is also accountable for the large-scale adoption of AI solutions in enterprises. Moreover, increasing demand for improving business functions and developing innovation across industries are creating numerous growth opportunities for enterprise AI market.
On the other hand, lack of skilled labor and concerns about data sharing is projected to hamper the growth of the market. Besides, the slow digitization rate affecting the adoption of enterprise AI solutions in developing countries is also expected to act as a restraint to the growth of the enterprise AI market.
Covid-19 Impact on Enterprise AI Market
Like many other industries, COVID-19 badly knocked the electronic and semiconductor industries. This unprecedented event has impacted nearly 230 countries in just a few weeks, resulting in the forced shutdown of manufacturing and transportation activities within and across the countries. This has directly affected the overall sector's growth. It is estimated that COVID-19 to leave more than USD 30 billion impacts on the electronics and semiconductor industry. The sector is majorly affected due to transport restrictions on major electronics and semiconductor raw material providers. However, the emerging need for semiconductors in several industries will offer rapid market recovery over the future period.
Enterprise AI Market Segment Overview
Based on the Component, the Cloud-Based sub-segment is the largest segment in the global enterprise AI market. The cloud deployment type offers several benefits that include more scalability, reduced operational and maintenance costs, and fewer complexities. Additionally, enterprise AI vendors are mainly focusing on the deployment of cloud-based solutions, due to the huge adoption of the cloud-based deployment type. In terms of Organization Size, the Large Enterprises segment dominated the overall market and is expected to generate maximum revenue in the forecast period. The growth of this segment is mainly attributed to an increase in the need to improvise business outcomes.
Enterprise AI Market, By Component
· Machine Learning
· Deep Learning
· Natural Language Processing (NLP)
Enterprise AI Market, By Application
· Security & Risk Management
· Process Automation
· Analytics Application
· Marketing Management
Enterprise AI Market, By Organization Size
· Small And Medium Sized Enterprises (SMEs)
· Large Enterprises
Enterprise AI Market Regional Overview
North America is estimated to contribute the largest share in the Enterprise AI market throughout the forecast period. The region has a significant presence of prominent technology players to provide to the rapidly growing enterprise AI market. Further, the adoption rate of AI by SMEs and large enterprises in North America is relatively high compared to other regions. Similarly, the market of the Asia Pacific is projected to grow at the fastest rate in the coming years. Increasing demand for enterprise AI in developing countries such as Japan, China, and India is driving the market growth. Europe is also expected to show substantial growth in enterprise AI in the forecast period. The Middle East & Africa region and South America are also anticipated to contribute significantly toward the growth of the market.
Enterprise AI Market, By Geography
· North America (US & Canada)
· Europe (UK, Germany, France, Italy, Spain, Russia & Rest of Europe)
· Asia-Pacific (Japan, China, India, Australia, & South Korea, & Rest of Asia-Pacific)
· LAMEA (Brazil, Saudi Arabia, UAE & Rest of LAMEA)
Enterprise AI Market Competitor overview
Some key developments and strategies adopted by manufacturers in Enterprise AI are highlighted below.
· In August 2021, Wipro Limited, a global information technology, consulting and business process services company announced a global strategic partnership with DataRobot, a leader in Augmented Intelligence.The partnership will deliver Augmented Intelligence at scale, to help customers become AI driven enterprises, and accelerate their business impact. This collaboration will help accelerate the execution of AI strategy and will ensure quicker “data to value” for businesses. The partnership will streamline the process of infusing AI-led intelligence into customer business decisions, and positively impact their bottom line.
· In August 2021, Nvidia officially opened its AI Enterprise software Version 1.0 to general availability, and announced a new partnership to make it easier for enterprises to work with machine learning models, both key step in helping the company realize its strategy to make AI tools more realistic options for any enterprise.
Enterprise AI Market, Key Players
· AWS
· Google Corporation
· IBM Corporation
· Intel Corporation
· Microsoft Corporation
· Oracle Corporation
· SAP
· Sentient Technologies
· Wipro Ltd
Enterprise AI is a category of enterprise software that harnesses advanced artificial intelligence techniques to drive digital transformation. AI can be beneficial to enterprises in various ways in which organizations communicate & reform their processes, involve customers, and assess the sales process. Some of the major industry sectors already utilizing artificial intelligence include government, retail, financial services, manufacturing, automotive, and advertising.
The global Enterprise AI market is expected to grow at a considerable rate in the forthcoming years. The increasing demand for AI-based cognitive solutions and the necessity for analyzing complex data sets in data-sensitive companies are the main factors that boost the growth of the Enterprise AI market. Additionally, Substantial development in machine learning algorithms is also accountable for the large-scale adoption of AI solutions in enterprises. Moreover, increasing demand for improving business functions and developing innovation across industries are creating numerous growth opportunities for enterprise AI market.
On the other hand, lack of skilled labor and concerns about data sharing is projected to hamper the growth of the market. Besides, the slow digitization rate affecting the adoption of enterprise AI solutions in developing countries is also expected to act as a restraint to the growth of the enterprise AI market.
Covid-19 Impact on Enterprise AI Market
Like many other industries, COVID-19 badly knocked the electronic and semiconductor industries. This unprecedented event has impacted nearly 230 countries in just a few weeks, resulting in the forced shutdown of manufacturing and transportation activities within and across the countries. This has directly affected the overall sector's growth. It is estimated that COVID-19 to leave more than USD 30 billion impacts on the electronics and semiconductor industry. The sector is majorly affected due to transport restrictions on major electronics and semiconductor raw material providers. However, the emerging need for semiconductors in several industries will offer rapid market recovery over the future period.
Enterprise AI Market Segment Overview
Based on the Component, the Cloud-Based sub-segment is the largest segment in the global enterprise AI market. The cloud deployment type offers several benefits that include more scalability, reduced operational and maintenance costs, and fewer complexities. Additionally, enterprise AI vendors are mainly focusing on the deployment of cloud-based solutions, due to the huge adoption of the cloud-based deployment type. In terms of Organization Size, the Large Enterprises segment dominated the overall market and is expected to generate maximum revenue in the forecast period. The growth of this segment is mainly attributed to an increase in the need to improvise business outcomes.
Enterprise AI Market, By Component
- Software
- Cloud-Based
- On-Premise
- Services
- Managed
- Professional Services
· Machine Learning
· Deep Learning
· Natural Language Processing (NLP)
Enterprise AI Market, By Application
· Security & Risk Management
· Process Automation
· Analytics Application
· Marketing Management
Enterprise AI Market, By Organization Size
· Small And Medium Sized Enterprises (SMEs)
· Large Enterprises
Enterprise AI Market Regional Overview
North America is estimated to contribute the largest share in the Enterprise AI market throughout the forecast period. The region has a significant presence of prominent technology players to provide to the rapidly growing enterprise AI market. Further, the adoption rate of AI by SMEs and large enterprises in North America is relatively high compared to other regions. Similarly, the market of the Asia Pacific is projected to grow at the fastest rate in the coming years. Increasing demand for enterprise AI in developing countries such as Japan, China, and India is driving the market growth. Europe is also expected to show substantial growth in enterprise AI in the forecast period. The Middle East & Africa region and South America are also anticipated to contribute significantly toward the growth of the market.
Enterprise AI Market, By Geography
· North America (US & Canada)
· Europe (UK, Germany, France, Italy, Spain, Russia & Rest of Europe)
· Asia-Pacific (Japan, China, India, Australia, & South Korea, & Rest of Asia-Pacific)
· LAMEA (Brazil, Saudi Arabia, UAE & Rest of LAMEA)
Enterprise AI Market Competitor overview
Some key developments and strategies adopted by manufacturers in Enterprise AI are highlighted below.
· In August 2021, Wipro Limited, a global information technology, consulting and business process services company announced a global strategic partnership with DataRobot, a leader in Augmented Intelligence.The partnership will deliver Augmented Intelligence at scale, to help customers become AI driven enterprises, and accelerate their business impact. This collaboration will help accelerate the execution of AI strategy and will ensure quicker “data to value” for businesses. The partnership will streamline the process of infusing AI-led intelligence into customer business decisions, and positively impact their bottom line.
· In August 2021, Nvidia officially opened its AI Enterprise software Version 1.0 to general availability, and announced a new partnership to make it easier for enterprises to work with machine learning models, both key step in helping the company realize its strategy to make AI tools more realistic options for any enterprise.
Enterprise AI Market, Key Players
· AWS
· Google Corporation
· IBM Corporation
· Intel Corporation
· Microsoft Corporation
· Oracle Corporation
· SAP
· Sentient Technologies
· Wipro Ltd
Enterprise AI Market Study Global Market Analysis, Insights and Forecast, 2020-20275.3. Market Analysis, Insights and Forecast – By Technology 5.4. Market Analysis, Insights and Forecast – By Application 5.5. Market Analysis, Insights and Forecast – By Organization Size 5.6. Market Analysis, Insights and Forecast – By Region 6.3. Market Analysis, Insights and Forecast – By Technology 6.4. Market Analysis, Insights and Forecast – By Application 6.5. Market Analysis, Insights and Forecast – By Organization Size 6.6. Market Analysis, Insights and Forecast – By Country 7.3. Market Analysis, Insights and Forecast – By Technology 7.4. Market Analysis, Insights and Forecast – By Application 7.5. Market Analysis, Insights and Forecast – By Organization Size 7.6. Market Analysis, Insights and Forecast – By Country 8.3. Market Analysis, Insights and Forecast – By Technology 8.4. Market Analysis, Insights and Forecast – By Application 8.5. Market Analysis, Insights and Forecast – By Organization Size 8.6. Market Analysis, Insights and Forecast – By Country 9.3. Market Analysis, Insights and Forecast – By Technology 9.4. Market Analysis, Insights and Forecast – By Application 9.5. Market Analysis, Insights and Forecast – By Organization Size 9.6. Market Analysis, Insights and Forecast – By Country
1. Introduction
- 1.1. Research Scope
- 1.2. Market Segmentation
- 1.3. Research Methodology
- 1.4. Definitions and Assumptions
2. Executive Summary
3. Market Dynamics
- 3.1. Market Drivers
- 3.2. Market Restraints
- 3.3. Market Opportunities
4. Key Insights
- 4.1. Key Emerging Trends – For Major Countries
- 4.2. Latest Technological Advancement
- 4.3. Regulatory Landscape
- 4.4. Industry SWOT Analysis
- 4.5. Porters Five Forces Analysis
5. Global Enterprise AI Market Analysis (USD Billion), Insights and Forecast, 2020-2027
- 5.1. Key Findings / Summary
- 5.2. Market Analysis, Insights and Forecast – By Component
- 5.2.1. Software
- 5.2.1.1. Cloud-Based
- 5.2.1.2. On-Premise
- 5.2.2. Services
- 5.2.2.1. Managed
- 5.2.2.2. Professional Services
- 5.2.1. Software
- 5.3.1. Machine Learning
- 5.3.2. Deep Learning
- 5.3.3. Natural Language Processing (NLP)
- 5.4.1. Security & Risk Management
- 5.4.2. Process Automation
- 5.4.3. Analytics Application
- 5.4.4. Marketing Management
- 5.5.1. Small And Medium Sized Enterprises (SMEs)
- 5.5.2. Large Enterprises
- 5.6.1. North America
- 5.6.2. Europe
- 5.6.3. Asia Pacific
- 5.6.4. Latin America, Middle East and Africa
6. North America Enterprise AI Market Analysis (USD Billion), Insights and Forecast, 2020-2027
- 6.1. Key Findings / Summary
- 6.2. Market Analysis, Insights and Forecast – By Component
- 6.2.1. Software
- 6.2.1.1. Cloud-Based
- 6.2.1.2. On-Premise
- 6.2.2. Services
- 6.2.2.1. Managed
- 6.2.2.2. Professional Services
- 6.2.1. Software
- 6.3.1. Machine Learning
- 6.3.2. Deep Learning
- 6.3.3. Natural Language Processing (NLP)
- 6.4.1. Security & Risk Management
- 6.4.2. Process Automation
- 6.4.3. Analytics Application
- 6.4.4. Marketing Management
- 6.5.1. Small And Medium Sized Enterprises (SMEs)
- 6.5.2. Large Enterprises
- 6.6.1. U.S.
- 6.6.2. Canada
7. Europe Enterprise AI Market Analysis (USD Billion), Insights and Forecast, 2020-2027
- 7.1. Key Findings / Summary
- 7.2. Market Analysis, Insights and Forecast – By Component
- 7.2.1. Software
- 7.2.1.1. Cloud-Based
- 7.2.1.2. On-Premise
- 7.2.2. Services
- 7.2.2.1. Managed
- 7.2.2.2. Professional Services
- 7.2.1. Software
- 7.3.1. Machine Learning
- 7.3.2. Deep Learning
- 7.3.3. Natural Language Processing (NLP)
- 7.4.1. Security & Risk Management
- 7.4.2. Process Automation
- 7.4.3. Analytics Application
- 7.4.4. Marketing Management
- 7.5.1. Small And Medium Sized Enterprises (SMEs)
- 7.5.2. Large Enterprises
- 7.6.1. UK
- 7.6.2. Germany
- 7.6.3. France
- 7.6.4. Italy
- 7.6.5. Spain
- 7.6.6. Russia
- 7.6.7. Rest of Europe
8. Asia Pacific Enterprise AI Market Analysis (USD Billion), Insights and Forecast, 2020-2027
- 8.1. Key Findings / Summary
- 8.2. Market Analysis, Insights and Forecast – By Component
- 8.2.1. Software
- 8.2.1.1. Cloud-Based
- 8.2.1.2. On-Premise
- 8.2.2. Services
- 8.2.2.1. Managed
- 8.2.2.2. Professional Services
- 8.2.1. Software
- 8.3.1. Machine Learning
- 8.3.2. Deep Learning
- 8.3.3. Natural Language Processing (NLP)
- 8.4.1. Security & Risk Management
- 8.4.2. Process Automation
- 8.4.3. Analytics Application
- 8.4.4. Marketing Management
- 8.5.1. Small And Medium Sized Enterprises (SMEs)
- 8.5.2. Large Enterprises
- 8.6.1. China
- 8.6.2. India
- 8.6.3. Japan
- 8.6.4. Australia
- 8.6.5. South East Asia
- 8.6.6. Rest of Asia Pacific
9. Latin America, Middle East and Africa Enterprise AI Market Analysis (USD Billion), Insights and Forecast, 2020-2027
- 9.1. Key Findings / Summary
- 9.2. Market Analysis, Insights and Forecast – By Component
- 9.2.1. Software
- 9.2.1.1. Cloud-Based
- 9.2.1.2. On-Premise
- 9.2.2. Services
- 9.2.2.1. Managed
- 9.2.2.2. Professional Services
- 9.2.1. Software
- 9.3.1. Machine Learning
- 9.3.2. Deep Learning
- 9.3.3. Natural Language Processing (NLP)
- 9.4.1. Security & Risk Management
- 9.4.2. Process Automation
- 9.4.3. Analytics Application
- 9.4.4. Marketing Management
- 9.5.1. Small And Medium Sized Enterprises (SMEs)
- 9.5.2. Large Enterprises
- 9.6.1. Brazil
- 9.6.2. Saudi Arabia
- 9.6.3. UAE
- 9.6.4. Rest of LAMEA
10. Competitive Analysis
- 10.1. Company Market Share Analysis, 2018
- 10.2. Key Industry Developments
- 10.3. Company Profile
- 10.4. AWS
- 10.4.1. Business Overview
- 10.4.2. Segment 1 & Service Offering
- 10.4.3. Overall Revenue
- 10.4.4. Geographic Presence
- 10.4.5. Recent Development
- 10.5. Google Corporation
- 10.6. IBM Corporation
- 10.7. Intel Corporation
- 10.8. Microsoft Corporation
- 10.9. Oracle Corporation
- 10.10. SAP
- 10.11. Sentient Technologies
Research Process
Data Library Research are conducted by industry experts who offer insight on industry structure, market segmentations technology assessment and competitive landscape (CL), and penetration, as well as on emerging trends. Their analysis is based on primary interviews (~ 80%) and secondary research (~ 20%) as well as years of professional expertise in their respective industries. Adding to this, by analysing historical trends and current market positions, our analysts predict where the market will be headed for the next five years. Furthermore, the varying trends of segment & categories geographically presented are also studied and the estimated based on the primary & secondary research.
In this particular report from the supply side Data Library Research has conducted primary surveys (interviews) with the key level executives (VP, CEO’s, Marketing Director, Business Development Manager and SOFT) of the companies that active & prominent as well as the midsized organization
FIGURE 1: DLR RESEARH PROCESS
Extensive primary research was conducted to gain a deeper insight of the market and industry performance. The analysis is based on both primary and secondary research as well as years of professional expertise in the respective industries.
In addition to analysing current and historical trends, our analysts predict where the market is headed over the next five years.
It varies by segment for these categories geographically presented in the list of market tables. Speaking about this particular report we have conducted primary surveys (interviews) with the key level executives (VP, CEO’s, Marketing Director, Business Development Manager and many more) of the major players active in the market.
Secondary ResearchSecondary research was mainly used to collect and identify information useful for the extensive, technical, market-oriented, and Friend’s study of the Global Extra Neutral Alcohol. It was also used to obtain key information about major players, market classification and segmentation according to the industry trends, geographical markets, and developments related to the market and technology perspectives. For this study, analysts have gathered information from various credible sources, such as annual reports, sec filings, journals, white papers, SOFT presentations, and company web sites.
Market Size EstimationBoth, top-down and bottom-up approaches were used to estimate and validate the size of the Global market and to estimate the size of various other dependent submarkets in the overall Extra Neutral Alcohol. The key players in the market were identified through secondary research and their market contributions in the respective geographies were determined through primary and secondary research.
Forecast Model
