
Region:Asia
Author(s):Sanjeev
Product Code:KROD1577
November 2024
84

The Asia-Pacific AI in Marketing Market can be segmented based on solution type, application, and region:


|
Company |
Establishment Year |
Headquarters |
|
IBM Corporation |
1911 |
Armonk, USA |
|
Google LLC |
1998 |
Mountain View, USA |
|
Microsoft Corporation |
1975 |
Redmond, USA |
|
Salesforce.com, Inc. |
1999 |
San Francisco, USA |
|
Adobe Inc. |
1982 |
San Jose, USA |
The Asia-Pacific AI in Marketing Market is expected to continue its growth trajectory, driven by the increasing demand for personalized marketing strategies, advancements in AI technologies, and the ongoing digital transformation across industries.
|
By Region |
North America Europe Asia-Pacific Latin America Middle East & Africa |
|
By Solution Type |
AI-Based Marketing Platforms Customer Relationship Management (CRM) Systems Content Management AI-Driven Analytics |
|
By Application |
Predictive Analytics Customer Segmentation Ad Targeting Content Generation Marketing Automation |
|
By Technology |
Machine Learning (ML) Natural Language Processing (NLP) Computer Vision Robotic Process Automation (RPA) Deep Learning Edge AI Neural Networks AI-Driven IoT (Internet of Things) Blockchain for AI in Marketing |
|
By End-User |
Enterprises SMEs Digital Marketing Agencies E-commerce Companies |
1.1. Definition and Scope
1.2. Market Taxonomy
1.3. Market Growth Rate
1.4. Market Segmentation Overview
2.1. Historical Market Size
2.2. Year-on-Year Growth Analysis
2.3. Key Market Developments and Milestones
3.1. Growth Drivers
3.1.1. Rising Demand for Personalization
3.1.2. Technological Advancements
3.1.3. Government Support
3.2. Restraints
3.2.1. Data Quality and Accessibility Issues
3.2.2. High Costs of AI Implementation
3.2.3. Limited AI Talent and Expertise
3.3. Opportunities
3.3.1. Expansion of AI-Driven Marketing Platforms
3.3.2. Growth in Predictive Analytics
3.3.3. Rise of Ethical AI and Responsible Marketing
3.4. Trends
3.4.1. Integration of AI with AR/VR Technologies
3.4.2. Increased Adoption of AI in Voice-Activated Marketing
3.4.3. Proliferation of AI in Content Creation and Curation
3.5. Government Regulation
3.5.1. China's New Generation Artificial Intelligence Development Plan
3.5.2. Japan's Society 5.0 Initiative
3.5.3. South Koreas AI National Strategy
3.5.4. Singapores AI Governance Framework
3.6. SWOT Analysis
3.7. Stake Ecosystem
3.8. Competition Ecosystem
4.1. By Solution Type (in Value %)
4.1.1. AI-Based Marketing Platforms
4.1.2. Customer Relationship Management (CRM) Systems
4.1.3. Content Management
4.1.4. AI-Driven Analytics
4.2. By Application (in Value %)
4.2.1. Predictive Analytics
4.2.2. Customer Segmentation
4.2.3. Ad Targeting
4.2.4. Content Generation
4.2.5. Marketing Automation
4.3. By Technology (in Value %)
4.3.1. Machine Learning (ML)
4.3.2. Natural Language Processing (NLP)
4.3.3. Computer Vision
4.3.4. Robotic Process Automation (RPA)
4.3.5. Deep Learning
4.3.6. Edge AI
4.3.7. Neural Networks
4.3.8. AI-Driven IoT (Internet of Things)
4.3.9. Blockchain for AI in Marketing
4.4. By End-User (in Value %)
4.4.1. Enterprises
4.4.2. SMEs
4.4.3. Digital Marketing Agencies
4.4.4. E-commerce Companies
4.5. By Region (in Value %)
4.5.1. China
4.5.2. India
4.5.3. Japan
4.5.4. South Korea
4.5.5. Australia
4.5.6. Southeast Asia
5.1. Detailed Profiles of Major Companies
5.1.1. IBM Corporation
5.1.2. Google LLC
5.1.3. Microsoft Corporation
5.1.4. Salesforce.com, Inc.
5.1.5. Adobe Inc.
5.1.6. Oracle Corporation
5.1.7. SAP SE
5.1.8. HubSpot, Inc.
5.1.9. Hootsuite Inc.
5.1.10. Kenshoo Ltd.
5.1.11. Baidu, Inc.
5.1.12. Alibaba Group
5.1.13. Tencent Holdings Ltd.
5.1.14. Appier Inc.
5.1.15. BlueFocus Communication Group Co., Ltd.
5.2. Cross Comparison Parameters (No. of Employees, Headquarters, Inception Year, Revenue)
6.1. Market Share Analysis
6.2. Strategic Initiatives
6.3. Mergers and Acquisitions
6.4. Investment Analysis
6.4.1. Venture Capital Funding
6.4.2. Government Grants
6.4.3. Private Equity Investments
7.1. Environmental Standards
7.2. Compliance Requirements
7.3. Certification Processes
8.1. Future Market Size Projections
8.2. Key Factors Driving Future Market Growth
9.1. By Solution Type (in Value %)
9.2. By Application (in Value %)
9.3. By Technology (in Value %)
9.4. By End-User (in Value %)
9.5. By Region (in Value %)
10.1. TAM/SAM/SOM Analysis
10.2. Customer Cohort Analysis
10.3. Marketing Initiatives
10.4. White Space Opportunity Analysis
Building an ecosystem of major entities in the Asia-Pacific AI in Marketing Market and referencing multiple secondary and proprietary databases to conduct desk research. This includes gathering industry-level information on market drivers, challenges, and key players, as well as understanding technological advancements and regulatory impacts.
Collecting statistics on the Asia-Pacific AI in Marketing market over the years, including historical market size, growth rates, and adoption of AI technologies. We will analyze market share, revenue generated by major players, and emerging trends to ensure accuracy and reliability in the data presented.
Formulating market hypotheses and conducting CATIs (Computer-Assisted Telephone Interviews) with industry experts from leading AI companies. These interviews will help validate the collected statistics and provide insights into operational and financial aspects directly from company representatives.
Our team will engage with multiple AI solution providers to understand the dynamics of market segments, consumer preferences, and sales trends. This process will validate the derived statistics using a bottom-to-top approach, ensuring that the final data accurately reflects the actual market conditions.
In 2023, the Asia-Pacific AI in Marketing Market was valued at USD 20 billion. The market is driven by the increasing demand for personalized marketing strategies and the adoption of AI technologies across industries. The growth reflects the significant role of AI in enhancing customer engagement and marketing efficiency.
The key challenges in the Asia-Pacific AI in Marketing Market include the high initial investment required for AI-driven solutions and the complexity of integrating AI technologies into existing marketing infrastructures. Additionally, concerns related to data privacy and security pose significant hurdles for companies adopting AI in marketing.
Major players in the Asia-Pacific AI in Marketing Market include IBM Corporation, Google LLC, Microsoft Corporation, Salesforce.com, Inc., and Adobe Inc. These companies are leading the market with innovative AI solutions that cater to various aspects of marketing, such as predictive analytics, customer segmentation, and personalized content delivery.
The primary growth drivers of the Asia-Pacific AI in Marketing Market include the rising demand for personalized marketing, advancements in AI technologies, and supportive government initiatives promoting the adoption of AI across industries. These factors are contributing to the rapid expansion of AI-driven marketing solutions in the region.
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