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市場調查報告書

人工智能 - 產業強烈地震也

Artificial Intelligence - Potential to Disrupt and Transform Verticals

出版商 Frost & Sullivan 商品編碼 596051
出版日期 內容資訊 英文 79 Pages
商品交期: 最快1-2個工作天內
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人工智能 - 產業強烈地震也 Artificial Intelligence - Potential to Disrupt and Transform Verticals
出版日期: 2017年11月24日 內容資訊: 英文 79 Pages
簡介

人工智慧一直是長久以來的話題,但現實上卻很少有應用到實際用途的實例。但在近數年間,其跨業用途再度興起,該技術開始以多種形式,通過多種方式存在。硬體的穩健進步及劃期性機器學習(Machine Learning:ML)演算法的突破性進步這個新潮流影響了各個產業,在這個趨勢下,投資者和創新者也面臨許多陷阱和機會。

本報告以人工智能的全球市場為焦點,提供2017-2023年的交易規模預測及分析,再加上市場推動要素與課題,發展機會,對產業的影響,參與企業趨勢等考察。

第1章 摘要整理

  • 重要發現

第2章 人工智能 - 簡介

  • 人工智能 - 定義和主要零組件
  • 簡易型人工智能 - 最大的影響力
  • 摩爾定律對人工智能的有效性
  • 超越摩爾定律

第3章 推動·阻礙因素

  • 市場推動要素
  • 推動要素 - 說明
  • 阻礙市場要素
  • 阻礙因素 - 說明

第4章 企業上人工智能的用途

  • 人工智能的用途 - 市場區隔
  • 用途 1 - 推論
  • 用途 2 - 知識
  • 用途 3 - 籌劃
  • 用途 4 - 通訊
  • 用途 5 - 認識
  • 人工智能 - 策略目的

第5章 人工智能 - 成長催化劑和目前趨勢

  • 人工智能無限的可能性 - 成長催化劑
  • 生態系統 - 合作環境
  • 生態系統 - 合作環境(續)
  • 投資 - 普遍的關心事
  • 投資 - 普遍的關心事(續)
  • M&A(用事業收購·整合) - 企業的利害活性化
  • (用M&A事業收購·整合) - 企業的利害活性化(繼續)
  • 研究開發 - 人力資源不足
  • 研究開發 - 人力資源不足(續)
  • 技術基礎設施 - 附加價值
  • 技術基礎設施 - 附加價值(續)
  • 人工智能的今後催化劑

第6章 人工智能的現狀 - 利用案例

  • 人工智能的成果 - 產業及功能領域的影響
  • 解決方案對各種企業用途的範圍
  • 金融服務領域的人工智能 - 強化服務的考察
  • 金融服務領域的人工智能 - 強化服務的考察(續)
  • 零售領域的人工智能 - 消費者理解
  • 零售領域的人工智能 - 消費者理解(續)
  • 醫療保健領域的人工智能 - 新水凖看護
  • 醫療保健領域的人工智能 - 新水凖看護(續)
  • 產業用途的人工智能 - 廣泛的影響
  • 產業用途的人工智能 - 廣泛的影響(續)
  • 家庭自動化領域的人工智能 - 多媒體設備環境解決方案
  • 家庭自動化領域的人工智能 - 多媒體設備環境解決方案(續)
  • CRM(顧客關係管理)領域的人工智能 - 無間斷的客戶參與
  • CRM(顧客關係管理)領域的人工智能 - 無間斷的客戶參與(續)
  • 網路安全領域的人工智能 - 對電腦網路攻擊的先手支援
  • 網路安全領域的人工智能 - 對電腦網路攻擊的先手支援(續)
  • 儘管面臨挑戰,人工智能增長迫在眉睫

第7章 人工智能供應商的配合措施

  • IBM
  • Google
  • Baidu
  • Element
  • Ford
  • Microsoft
  • Salesforce
  • DarkTrace

第8章 成長機會及企業的行動

  • 成長機會 1 - 聊天機器人
  • 成長機會 2 - 視覺認識
  • 成長機會 3 - 虛擬助手
  • 成長機會 4 - 網路安全
  • 人工智能企業的必需策略

第9章 結論

  • 重要點
  • 免責聲明

第10章 FROST & SULLIVAN

目錄
Product Code: MD65-67

Diverse Applications of AI Will Drive Growth Opportunities Across Verticals

Artificial intelligence (AI) has long been discussed, but rarely in terms of real-world applications. The past few years have seen a resurgence of the term with applications across industries. In reality, it has existed in many forms and through many approaches over the years. The constant advancement of hardware and breakthrough Machine Learning (ML) algorithms has unleashed a new wave of exponential progress that is set to affect every industry. Investors and innovators face many pitfalls and opportunities.

First-mover advantages in AI are strong, and access to data determines the strength of offerings. However, there are business and research dynamics that make the commercialization of algorithms alone challenging. True success in AI depends on access and timeliness of data, drawing insights and utility from the Internet of Things and Big Data paradigms. While all industries stand to benefit from this, the adoption is at different levels. This is primarily due to the ecosystem involvement, focus on innovation, and exiting trends in technology adoption. Given the diverse applications of AI, many large tech companies and vertical leaders are taking keen interest. The provider landscape has many start-ups with extremely innovative solutions and many of these have been a result of university research. The investors and incubators that help these companies grow are also a critical part of the ecosystem.

This report will provide an overview of the major trends today and catalysts for future developments. It covers in detail the AI ecosystem, various services available as part of AI, application of AI in enterprises, industry participant initiatives, and the impact on various verticals. The focus is on short- and long-term opportunities for ecosystem building, investment, and research, using case study examples where available. The report also provides a snapshot of some of the key participants in the industry, whose innovations are being increasingly accepted in the real world scenario.

The 5 key questions that this report will answer are:

  • What is AI?
  • What are the key AI applications in the enterprises?
  • What are the drivers and restraints in AI adoption?
  • What are the current trends in AI?
  • How have some of the industries benefited from AI-enabled solutions?

The study covers many providers and their involvement in AI to help readers understand the depth of efforts and initiatives that will lead to many revolutionary innovations in the future across a range of horizontal and vertical applications. The growth opportunities covered in the report also indicate the future course of the industry.

Numerous AI applications are still under experimentation, but the potential that the technology has displayed to change the outcomes makes it a very critical part of corporate strategies going forward.

Table of Contents

1. EXECUTIVE SUMMARY

  • Key Findings

2. INTRODUCTION TO ARTIFICIAL INTELLIGENCE

  • Artificial Intelligence-Definition and Key Components
  • AI Subsets-The Most Impactful
  • Relevance of Moore's Law to AI
  • Beyond Moore's Law

3. DRIVERS AND RESTRAINTS

  • Market Drivers
  • Drivers Explained
  • Market Restraints
  • Restraints Explained

4. APPLICATIONS OF AI IN ENTERPRISE

  • AI Applications-Segmentation
  • Application 1-Reasoning
  • Application 2-Knowledge
  • Application 3-Planning
  • Application 4-Communication
  • Application 5-Perception
  • Artificial Intelligence-Strategic Aims

5. AI-GROWTH CATALYSTS AND CURRENT TRENDS

  • AI Endless Possibilities-Growth Catalysts
  • Ecosystem-Collaborative Setup
  • Ecosystem-Collaborative Setup (continued)
  • Investments-Universal Interest
  • Investments-Universal Interest (continued)
  • M&A-Corporate Interest Increases Activity
  • M&A-Corporate Interest Increases Activity (continued)
  • R&D-Talent Shortage
  • R&D-Talent Shortage (continued)
  • Technology Infrastructure-Value Addition
  • Technology Infrastructure-Value Addition (continued)
  • Catalysts for AI Future

6. AI IN CONTEXT-USE CASES

  • AI Outcomes-Impact on Verticals and Functional Areas
  • AI-Range of Solutions for Different Enterprise Applications
  • AI in Financial Services-Insights to Enhance Services
  • AI in Financial Services-Insights to Enhance Services (continued)
  • AI in Retail-Understanding Consumers
  • AI in Retail-Understanding Consumers (continued)
  • AI in Healthcare-Taking Care to New Levels
  • AI in Healthcare-Taking Care to New Levels (continued)
  • AI in Industrial Applications-Wide Range of Impact
  • AI in Industrial Applications-Wide Range of Impact (continued)
  • AI in Home Automation-Solution for Multi-device Settings
  • AI in Home Automation-Solution for Multi-device Settings (continued)
  • AI in CRM-Seamless Customer Engagement
  • AI in CRM-Seamless Customer Engagement (continued)
  • AI in Cyber Security-Pre-empting Cyber Attacks
  • AI in Cyber Security-Pre-empting Cyber Attacks (continued)
  • AI-Growth Imminent, Despite Challenges

7. AI PROVIDER INITIATIVES

  • IBM AI Initiatives
  • Google AI Initiatives
  • Baidu AI Initiatives
  • Element AI Initiatives
  • Ford AI Initiatives
  • Microsoft AI Initiatives
  • Salesforce AI Initiatives
  • DarkTrace AI Initiatives

8. GROWTH OPPORTUNITIES AND COMPANIES TO ACTION

  • Growth Opportunity 1-Chatbots
  • Growth Opportunity 2-Visual Recognition
  • Growth Opportunity 3-Virtual Assistants
  • Growth Opportunity 4-Cyber Security
  • Strategic Imperatives for AI Companies

9. THE LAST WORD

  • Key Takeaways
  • Legal Disclaimer

10. THE FROST & SULLIVAN STORY

  • The Frost & Sullivan Story
  • Value Proposition-Future of Your Company & Career
  • Global Perspective
  • Industry Convergence
  • 360° Research Perspective
  • Implementation Excellence
  • Our Blue Ocean Strategy
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